- Reconsideration of the position of metformin
- Treatment of diabetes in patients with multiple risk factors
Treatment of diabetes in patients with coronary heart disease
- 3.1. Rationale
- 3.2. Target of HbA1c
- 3.3. Choice of drugs
- 3.3.1. Traditional antidiabetic drugs
- 3.3.2. Alpha-glucosidase inhibitor
- 3.3.3. Thiazolidinedione
- 3.3.4. DPP-4 inhibitors
- 3.3.5. GLP-1 receptor agonists
- 3.3.6. SGLT-2 inhibitors
- 3.4. Treatment algorithm in diabetic patients with multiple risk factors
Treatment of diabetes in patients with stage 3 chronic kidney disease
- 4.1. Rationale
- 4.2. Target of HbA1c
- 4.3. Choice of drugs
- 4.3.1. Metformin
- 4.3.2. Sulfonylureas
- 4.3.3. Glinides
- 4.3.4. Alpha-glucosidase inhibitor
- 4.3.5. Thiazolidinedione
- 4.3.6. Insulin
- 4.3.7. DPP-4 inhibitors
- 4.3.8. GLP-1 receptor agonists
- 4.3.9. SGLT-2 inhibitors
- 4.4. Treatment algorithm in diabetic patients with coronary heart disease
Treatment of diabetes in patients with a history of stroke
- 5.1. Rationale
- 5.2. Target of HbA1c
- 5.3. Choice of drugs
- 5.3.1. Conventional glucose-lowering agents
- 5.3.2. Thiazolidinedione
- 5.3.3. DPP-4 inhibitors
- 5.3.4. GLP-1 receptor agonists
- 5.3.5. SGLT-2 inhibitors
- 5.4. Treatment algorithm in diabetic patients with stage 3 chronic kidney disease
- 5.5. Dose consideration in chronic kidney disease
Treatment of diabetes in patients with heart failure
- 6.1. Rationale
- 6.2. Target of HbA1c
- 6.3. Choice of drugs
- 6.3.1. Metformin
- 6.3.2. Sulfonylureas
- 6.3.3. Glinides
- 6.3.4. Alpha-glucosidase inhibitor
- 6.3.5. Thiazolidinedione
- 6.3.6. Insulin
- 6.3.7. DPP-4 inhibitors
- 6.3.8. GLP-1 receptor agonists
- 6.3.9. SGLT-2 inhibitors
- 6.4. Treatment algorithm in diabetic patients with a history of stroke
Adverse events of antidiabetic agents
- 7.1. Rationale
- 7.1.1. Diabetes is a risk factor for developing heart failure
- 7.1.2. Heart failure patients have a higher risk of developing diabetes
- 7.1.3. Higher CV risk in patients with diabetes and concomitant heart failure
- 7.2. Target of HbA1c
- 7.3. Choice of drugs
- 7.3.1. Metformin
- 7.3.2. Sulfonylureas
- 7.3.3. Glinides
- 7.3.4. Alpha-glucosidase inhibitor
- 7.3.5. Thiazolidinedione
- 7.3.6. Insulin
- 7.3.7. DPP-4 inhibitors
- 7.3.8. GLP-1 receptor agonists
- 7.3.9. SGLT-2 inhibitors
- 7.4. Treatment algorithm in diabetic patients with heart failure
Summary and conclusions
- 8.1. Hypoglycemia
- 8.2. Genital tract infection
- 8.3. Fournier gangrene
- 8.4. Acute kidney injury
- 8.5. Diabetic ketoacidosis
- 8.6. Amputation
- 8.7. Fracture
Type 2 diabetes is becoming a pandemic disease in the twenty-first century.1 The global incidence and prevalence of diabetes quadrupled between 1980 and 2004.1 The global prevalence of diabetes among adults aged 18 years or older has risen from 4.7% in 1980 to 8.5% in 2014.2 The total diabetic population will increase from 415 million in 2015 to 642 million by 2040,3 much higher than those of hypertension and hyperlipidemia. During the last decade, diabetes prevalence has risen faster in low- and middle-income countries than in high-income countries.4 According to recent International Diabetes Federation report, more than 230 million Asian individuals are living with diabetes, accounting for approximately 55% of the world’s diabetic population, and this number is expected to exceed 355 million by 2040.5
Atherosclerotic cardiovascular disease (ASCVD), including coronary heart disease (CHD), cerebrovascular disease, and peripheral arterial disease (PAD), is the major cause of death and disability in patients with type 2 diabetes.6 About two-thirds of causes of death in type 2 diabetes are due to ASCVD.7 In a recent pooled analysis of more than 1 million participants from Asia, patients with diabetes had a 1.89-fold risk of all-cause death, 3.08-fold risk of renal disease, 2.57-fold in CHD, and 2.15-fold in ischemic stroke, compared with patients without diabetes.5 Many macrovascular complications develop 10–15 years before the clinical diagnosis of diabetes, making management of these associated ASCVD even more difficult.8
Though a wealth of evidence supports the association between hyperglycemia and elevated cardiovascular (CV) risk,9,10 randomized control trials (RCTs) of intensive glucose reduction did not significantly reduce macrovascular outcomes.11–14 We did not know why decrease in blood sugar could not be translated to a reduction in ASCVD, though some possible explanations prevailed. The durations of these RCTs were too short to show positive findings, whereas longer follow-up studies did demonstrate the efficacy of lowering levels of glucose.11–16 Or, more hypoglycemic episodes might neutralize their beneficial effects, given that a more recently meta-analysis showed a benefit of using safer antidiabetic agents (dipeptidyl peptidase-4 [DPP-4] inhibitors, glucagon-like peptide-1 receptor agonist [GLP-1 RA], and sodium/glucose co-transporter 2 [SGLT-2] inhibitors in reducing macrovascular diseases.17
Previously, the improvement in glycemic control was accepted as a surrogate for a reduction in microvascular complications. Until 2008, regulatory requirements for approval of antidiabetic agents were restricted to proving effectiveness on lowering glycated hemoglobin (HbA1c) and short-term safety; there were no trials adequately powered to evaluate CV safety or efficacy.18,19 The duration of trials is around 6–12 months or shorter, generally requiring only 300–600 patients exposed for 6 months, and only 100 patients exposed for a year.19 These listing trials were generally too small and too short and included patients with CV risk too low to assess effects on CV safety. An important turning point in the history of drug development of antidiabetic agents happened in 2007.20 An important meta-analysis of 27,847 patients from 42 trials disclosed serious adverse effects of rosiglitazone that the use of rosiglitazone was associated with significant increases in the risk of myocardial infarction (MI) (Odds ratio [OR] 1.43, 95% CI 1.03–1.98, p = 0.03) and CV death (OR 1.64, 95% CI 0.98–2.74, p = 0.06).20 This unexpected finding and the increasing concerns over the CV safety of other antidiabetic drugs such as pioglitazone21 and muraglitazar,22 spurred the regulatory reassessment of guidance to industry sponsors with the development of new antidiabetic drugs.
The U.S. Food and Drug Administration (FDA) convened an Endocrinologic and Metabolic Drugs Advisory Committee in July 2008. The committee voted 14:2 in favor of requirement for long-term CV outcome trials to rule out increased risk of major adverse cardiovascular events (MACE) for all new antidiabetic therapies.19 The requirement was that there was no substantial increase in CV risk both before and after marketing approval. This is a safety requirement that only noninferiority to placebo was required. The European Medicines Agency also followed the same regulatory requirement since 2012. As of September 18, 2019, 18 CV outcome trials have been completed since the issuance of the guidance, and more than 200,000 patients have been studied.19 Most of these trials had the 3-point MACE outcome (CV death, nonfatal MI, and nonfatal stroke) that was required by U.S. FDA. Two trials added hospitalization for unstable angina to create 4-point MACE as primary endpoints (the ELIXA trial and the TECOS trial).23,24Table 1 shows recent CV outcomes of antidiabetic drugs: DPP-4 inhibitors, GLP-1 RAs, and SGLT-2 inhibitors. The MACE rates generally correlated with baseline CV risk ranked by prior ASCVD, except 3 trials (the CREDENCE trial,25 the CARMELINA trial,26 and the Dapagliflozin and Prevention of Adverse Outcomes in Heart Failure [DAPA-HF] trial27). The CREDENCE trial25 and the CARMELINA trial26 enrolled patients with chronic kidney disease (CKD), while the DAPA-HF trial only enrolled patients with heart failure (HF) with reduced ejection fraction (HFrEF).27 Though initially designed for proving noninferiority, several trials surprisingly demonstrated superiority versus placebo. Table 2 shows the effects of new antidiabetic drugs on CV outcomes in these trials. Without these large-scale outcome trials, we never would be able to know their broad and substantial benefits. For the first time in the history, antidiabetic agents got nondiabetic indications, such as renal protection and HF reduction. We are now moving to a new era of antidiabetic treatment.
In 2018, the Taiwan Society of Cardiology (TSOC) and the Diabetes Association of Republic of China (DAROC) have published the “2018 Consensus of TSOC/DAROC on the Pharmacological Management of Patients with Type 2 Diabetes and Cardiovascular Diseases.”28 Given that many new trials and data were emerging, TSOC recently organized a new consensus group to update the previous one and formulated the new “2020 Consensus of Taiwan Society of Cardiology on the Pharmacological Management of Patients with Type 2 Diabetes and Cardiovascular Diseases.” The consensus started with a reconsideration of the role of metformin as the first-line therapy, followed by 5 major parts: (1) treatment of diabetes in patients with multiple risk factors, (2) treatment of diabetes in patients with CHD, (3) treatment of diabetes in patients with stage 3 chronic kidney disease, (4) treatment of diabetes in patients with a history of stroke, and 5) treatment of diabetes in patients with HF.
The members of the consensus group comprehensively reviewed all evidences, including RCTs, meta-analyses, cohort studies, and studies using claim data. The rationale for prioritizing antidiabetic drugs for different cardiovascular disease (CVD) was based on the findings from RCTs first. The strongest evidence came from an RCT specifically testing one drug versus another (or placebo) in patients with a specific disease condition such as CHD, stroke, CKD, or HF. However, the number of such disease-specific trials is very limited. Most of the recent RCTs enrolled patients across the spectrum of ASCVD including CHD, ischemic stroke, and PAD, rather than having a limited enrollment to a specific patient population. The second tier of evidence came from any subgroup analysis of the three-point MACE in patients with or without a specific CVD. We examined if the efficacy remained significant or was even better in patients with preexisting CVD. The third tier evidence is based on the assessments of the individual endpoint, that is, MI or stroke, among the three-point MACE and evaluated if any given drug reduced any specific endpoint. If the previous three levels of evidence was not available or did not provide any significant information, meta-analysis was then taken into account, followed by cohort studies and claim data studies. All the available evidences were fully discussed and final decision was made by consensus. If there was disagreement in the discussion, the final decision was determined by votes.
The consensus group also tried to look for a specific HbA1c target for each individual disease. Less stringent goal for HbA1c may be needed for patients with a history of severe hypoglycemia or poor cooperation. If a patient has more than one disease entity, and the optimal HbA1c and the choice of drug is different for these disease entities, safety should be the first priority, that is, those drugs which are contraindicated for one disease entity, though indicated in another disease entity, should not be chosen. The consensus is not mandatory. The final decision may need to be individualized and based on clinicians’ discretion.
2. RECONSIDERATION OF THE POSITION OF METFORMIN
Metformin has been put in the first choice in major guidelines for decades. In fact, the supporting evidence is scarce. The only RCT testing metformin’s CV effects was the United Kingdom Prospective Diabetes Study (UKPDS) 34 trial.29 This trial enrolled patients with freshly diagnosed type 2 diabetes or prediabetes. Among 753 mildly obese patients, 342 patients were randomized to metformin and 411 patients were randomized to conventional glucose therapy. Metformin reduced MI by 39% (p = 0.01), and all-cause death by 36% (p = 0.011).29 The total event numbers were actually very small: total 52 CV deaths for analysis of conventional care versus metformin (36 vs. 16), and a total of 251 cases with MI partitioned for analyses across 3 groups that included patients randomized to a policy of intensive control with insulins/sulfonylureas (SUs), leaving only 39 MI events in the metformin arm.18 Furthermore, patients with recent MI, HF, or angina were excluded, limiting the generalizability of the results to patients with higher CV risk. In addition, the trial was not blinded and there was no placebo group. The findings were further challenged by other statistical issues.30 More importantly, the results of UKPDS 34 could not be replicated or supported by meta-analysis.31,32
In the UKPDS trial, only 1.5% patients received aspirin, and less than 1% received statins. The percentage of patients taking renin–angiotensin–aldosterone system blockade was not reported, but presumably low. Therefore, with contemporary management of diabetes, the effects of metformin are questionable.
Among the recent RCTs of new antidiabetic agents, 18%–40% of trial participants were not treated with metformin.18 Given that such a large number of trial participants in each of these outcome trials were no treated with metformin at baseline, the results should not be interpreted exclusively as adding the novel therapy to metformin, but instead as effects on CV outcomes independent of metformin use.18 Therefore, unilaterally endorsing metformin as first-line medication for diabetic patients with ASCVD and stepping down to second-line drugs, especially for those with proven ASCVD efficacy, only when HbA1c is not at target are no longer evidence-based strategies and must be reconsidered.18
Large-scale RCTs are needed. There are 2 ongoing RCTs testing the efficacy of metformin. The VA-IMPACT trial compared metformin versus placebo in about 8,000 patients with prediabetes and established ASCVD (NCT02915198). The SMARTEST trial compared metformin versus dapagliflozin in about 4300 patients with type 2 diabetes and risk factors (NCT03982381). However, we need to wait until 2024 to have results.
In a recent subanalysis from the SAVOR trial, metformin reduced all-cause death by about 25%.33 In an additional meta-analysis of 815,639 patients in the same article, metformin reduced 26% in all-cause death.33 However, in patients with prior HF or moderate-to-severe CKD, metformin could not reduce all-cause death.33 This is a strong evidence to suggest that in patients with prior HF or moderate-to-severe CKD metformin should be moved to second-line therapy, and SGLT-2 inhibitors, with established evidence in reducing renal events, CV endpoints, and hospitalization for HF, should step up as the first choice.25,27,34–36 Indeed, in the recent European guidelines, SGLT-2 inhibitors or GLP-1 RAs, but not metformin, were recommended in drug naive patients who have ASCVD or high/very high CV risk.37 On the other hand, metformin have several benefits, including global availability, affordability, overall safety, and tolerability, that make it the default first-line therapy in most diabetes guidelines.
3. TREATMENT OF DIABETES IN PATIENTS WITH MULTIPLE RISK FACTORS
Type 2 diabetes is a major risk factor for ASCVD, doubling the risks of CHD, stroke, and CV death.38 Many CV risk factors, such as hypertension,39 dyslipidemia,40 obesity,41 and CKD,42 commonly coexist with diabetes and further aggravate the overall risk for developing CVD in diabetic patients. To date, there is a dearth of study specifically looking into the target of HbA1c and antidiabetic strategy for patients with risk factor alone (primary prevention).
3.2. Target of HbA1c
Whether lowering HbA1c leads to a better CV outcome in primary prevention is complex and still an issue of debate. Several factors, such as antidiabetic drug, comorbid disease, established ASCVD, age, and duration of diabetes, may intricately determine the final impact of HbA1c on CV outcomes.
The UKPDS trial enrolled patients with an average baseline HbA1c of 7.1%–7.2%.11,29 Those with more than one vascular events were excluded. Intensive therapy with SU or insulin-reduced HbA1c from 7.9% to 7.0% but failed to reduce macrovascular events at the end of study.11 Instead, a reduction in macrovascular events was observed 15 years later.43 The metformin arm of UKPDS (UKPDS 34) enrolled exclusively overweight (>120% ideal body weight) patients. Median HbA1c levels were reduced from 8.0% to 7.4%, leading to a 36% reduction in all-cause mortality (p = 0.011) and a 30% reduction in all macrovascular diseases (p = 0.020) compared with conventional (diet control) therapy.29
The landmark trials, including the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial,12 the Action in Diabetes and Vascular Disease: Preterax and Diamicron–MR Controlled Evaluation (ADVANCE) trial,13 and the Veterans Affairs Diabetes Trial (VADT),14 targeting more stringent HbA1c levels to <6.5%–7.0% or even lower, generally failed to demonstrate macrovascular benefit. Unexpectedly, the ACCORD trial shows a higher all-cause mortality and CV death in the intensive treatment group.12 When compared with patients in the UKPDS 34,29 there were many differences among these trials. The participants in the three trials were older (60–66 vs. 53 years) and had longer diabetes durations (8–12 years vs. newly diagnosed), more established ASCVD (32%–41% vs. 7.5%), more major hypoglycemic events (2.7%–16.2% vs. <1%), as well as significant weight gain in the intensive treatment groups of the three trials, which was not observed in the UKPDS 34 trial. All these differences intricately interacted with HbA1c lowering and affected the final CV outcomes. For example, severe hypoglycemic event has been shown to be a major risk factor for the subsequent all-cause mortality and CV events44 and undermines the CV benefit from HbA1c reduction. In contrast, a population cohort study enrolling 24 752 metformin initiators shows that an early achievement of HbA1c < 6.5% is associated with significantly 18% lower CV events (death, MI, or stroke) than HbA1c 6.5%–7.0% stratum (HR 1.18, 95% CI: 1.07–1.30).45 The consensus group recommended HbA1c < 7.0% as the appropriate target for diabetic patients with risk factor alone. For those who are younger and have a shorter diabetes duration, a more stringent HbA1c target < 6.5% could be helpful. A less stringent HbA1c target (for example, <8.0%) may be optimal for elderly patients with long diabetes history, established CVD, multiple comorbidities, and limited life expectancy.37
3.3. Choice of Drugs
RCTs provide strongest evidence in the hierarchy of antidiabetic agents for diabetic patients with risk factor alone. Nevertheless, RCT specifically for diabetic patients with risk factor alone is scarce. The subgroup analysis in RCTs could be helpful. The effect of antidiabetic drugs on reducing CV risk factors, such as blood pressure, may also be taken into account when making choices.
3.3.1. Traditional antidiabetic drugs
The UKPDS trial enrolled merely 7.5% of participants with established ASCVD,29 that is, most patients had risk factor alone. Metformin, compared with diet control, significantly reduced macrovascular events at the end of the study without obvious increase in hypoglycemic episodes and weight gain.29 In contrast, SU and insulin did not reduce CV events during the study period.11 Instead, their effects on reducing CV events appeared very late, about 10 years later (Legacy Effect).43 Considering safety, efficacy, and onset of benefit, most of guidelines recommended metformin as the first-line antidiabetic drug for primary prevention,46 despite of different opinions.18,30 A meta-analysis of 35 RCTs supported this recommendation that participants treated with metformin versus comparator showing that metformin treatment was associated with lower CV events, compared with placebo or no treatment (HR 0.79, 95% CI 0.64–0.98, p = 0.031), but not with active comparators (HR 1.03, 95% CI 0.72–1.77, p = 0.89).47 However, a more recent meta-analysis enrolling 301 RCTs had different finding that there was no significant difference in terms of CV or all-cause mortality among nine different classes of antidiabetic drugs.48 This analysis did not consider the timing for the occurrence of the vascular benefit. Concomitant use of metformin and SU increased mortality,29,47 which might result from more hypoglycemic episodes.44
The ORIGIN trial enrolled 12 537 people with CV risk factors plus impaired fasting glucose, impaired glucose tolerance, or type 2 diabetes to receive basal insulin or placebo.49 About 60% of participants had prior ASCVD. Basal insulin had a neutral effect on three-point MACE compared with standard care (including metformin) (HR 1.02, 95% CI 0.94–1.11), though new-onset diabetes was reduced.49 The effects on three-point MACE were similar in patients with or without prior ASCVD (HRs 0.97, 95% CI 0.87–1.07 vs. 1.17, 95% CI 1.00–1.37, p value for interaction 0.05), though it indeed led to more hypoglycemic episodes and significant weight gain.49
The NAVIGATOR trial is the only outcome trial for glinides. It enrolled exclusively prediabetes participants and 24% had established ASCVD and 76% had risk factor alone.50 Nateglinide had a neutral effect on the CV events (HR 0.93, 95% CI 0.83–1.03, p = 0.16), but significantly increased hypoglycemic episodes and body weight, compared with the placebo group.50 The CV effect was similar in patients with risk factor alone compared with patients with established ASCVD (HRs 1.00, 95% CI 0.86–1.17 vs. 0.86, 95% CI 0.74–1.00, p value for interaction 0.16).50 Taking into account all these evidence, metformin has a high priority in diabetic patients with risk factors alone. Low priority was given to SU, glinides, and insulin, due to increased risks of hypoglycemia and weight gain.
3.3.2. Alpha-glucosidase inhibitors
The STOP-NIDDM trial enrolled participants with impaired glucose tolerance, and only 4.8% of participants had established ASCVD, very close to a CV primary prevention trial of prediabetes patients.51 Acarbose significantly reduced CV events, particularly MI, versus placebo (1 vs. 12 events, p = 0.02).51 The trial had relatively small sample size and few CV events (1368 participants with 47 CV events in total).51 The recent Acarbose Cardiovascular Evaluation (ACE) trial was more robust and enrolled 6522 Chinese participants with established CHD and impaired glucose tolerance (IGT) (secondary prevention), acarbose failed to demonstrate any CV benefit versus placebo (5-point MACE, HR 0.98, 95% CI 0.86-1.11, p=0.73).52 Although there is a weak evidence for acarbose in the primary prevention, it doesn’t get high priority of recommendation in diabetic patients with risk factors alone.
There has been no CV primary prevention trial of peroxisome proliferator-activated receptor gamma agonists. The PROactive trial is a secondary prevention trial enrolling 5238 high-risk patients with established ASCVD. Pioglitazone significantly reduced three-point MACE (HR 0.84, 95% CI 0.72–0.98) at the cost of a significant increase in HF hospitalization.15
3.3.4. DPP-4 inhibitors
Among the four RCTs of DPP-4 inhibitors, the majority of patients had established ASCVD (Table 1).24,26,53,54 In general, all the DPP-4 inhibitors had neutral effects on MACE (Table 2). In the subgroup analyses available, all these DPP-4 inhibitors had neutral effects on MACE in patients with risk factor alone. The CAROLINA trial compared linagliptin versus glimepiride instead of placebo.55 In the CAROLINA trial, 37% patients had risk factor alone. Linagliptin did not reduce MACE compared with glimepiride, though the latter induced more hypoglycemic episodes (10.6% vs. 37.7%, HR 0.23, 95% CI 0.21–0.26) and more weight gain (HR 1.54, 95% CI 1.28–1.80 kg).55 In the subgroup analysis, participants with or without established ASCVD did not have significant interaction (p = 0.54).55 Taken together, the consensus group gave DPP-4 inhibitors a neutral position in patients with risk factor alone.
3.3.5. GLP-1 receptor agonists
Among the seven RCTs of GLP-1 RAs, the majority of the enrolled patients had established ASCVD, except the REWIND trial (Table 1).23,56–61 The REWIND trial enrolled 9901 patients including 68.5% had risk factor alone and 31.5% have prior ASCVD.61 Dulaglutide reduced MACE (HR 0.88, 95% CI 0.079–0.99, p = 0.026) and had a trend in decreasing all-cause mortality (HR 0.9, 95% CI 0.80–1.01, p = 0.067).61 In the subgroup analysis, participants with or without established ASCVD had exactly the same trend in the three-point MACE in response to dulaglutide treatment (both HRs 0.87, 95% CI 0.74–1.02, p for interaction = 0.97). In addition, dulaglutide significantly improved renal outcome (HR 0.85, 95% CI 0.77–0.93).62 In the subgroup analyses of all other trials of GLP-1 RAs, MACE was not reduced in patients with risk factor alone. In a meta-analysis of 8 trials (5 GLP-1 RAs, 3 SLGT-2 inhibitors), GLP-1 RAs reduced MACE in patients with established ASCVD (HR 0.87, 95% CI 0.82–0.92), but not in patients with risk factor alone (HR 1.03, 95% CI 0.87–1.23).63 In a more recent meta-analysis including 56 004 participants from all seven trials of GLP-1 RAs, MACE was significantly reduced by 12% (HR 0.88, 95% CI 0.82–0.94, p < 0.001). This effect seems to be consistent in patients with established ASCVD or risk factor alone (HRs 0.86, 95% CI 0.79–0.94 vs. 0.95, 95% CI 0.83–1.08, p for interaction 0.22).64 Interestingly, two exentin-4 backbone GLP-1 RAs (lixisenatide and exenatide) failed to decrease MACE.23,56 On the other hand, human GLP-1 backbone GLP-1 RAs, except oral semaglutide, successfully decreased MACE and decreased all-cause mortality in some trials.57–61 Taken together, the consensus group gave GLP-1 RAs a moderate position in patients with risk factor alone, and only those GLP-1 RAs proven to be effective were recommended (liraglutide, semaglutide, and dulaglutide).
3.3.6. SGLT-2 inhibitors
There were three large-scale RCTs primarily evaluating the CV effects of SGLT-2 inhibitors in patients with type 2 diabetes; however, no trial was performed exclusively for patients with risk factor alone (Table 1). In the Empagliflozin Cardiovascular Outcome Event Trial in Type 2 Diabetes Mellitus Patients–Removing Excess Glucose (EMPA-REG) trial, only patients with prior ASCVD were enrolled.34 In the CANVAS program, 65.6% patients had prior ASCVD, and only 33.3% had risk factor alone.35 Canagliflozin reduced MACE (HR 0.86, 95% CI 0.75–0.97, p < 0.001 for noninferiority, p = 0.02 for superiority).35 Though there was no statistical evidence of heterogeneity (interaction p value = 0.18) in its effects on MACE between the primary (HR 0.98, 95% CI 0.74–1.30) and secondary prevention (HR 0.82, 95% CI, 0.72–0.95) cohorts,65 the upper boundary of the confidence interval for the primary prevention was 1.30, just on the verge of the upper boundary of noninferiority defined by U.S. FDA.19 On the other hand, the composite renal endpoints (sustained doubling of serum creatinine, end-stage renal disease (ESRD), and death from renal causes) occurred less frequently in the canagliflozin group compared with the placebo group (HR 0·53, 95% CI 0·33–0·84). Subgroup analysis disclosed similar renal effects in patients with primary prevention versus secondary prevention (HRs 0.45, 95% CI 0.21–0.96 vs. 0.59, 95% CI 0.32–1.06, p for interaction 0.63).66 Furthermore, CV death/hospitalization for HF was reduced in those treated with canagliflozin compared with placebo (HR 0.78, 95% CI 0.67–0.91) without heterogeneity between those risk factor alone versus those with prior ASCVD (HRs 0.83, 95% CI 0.58–1.19 vs. 0.77 95% CI 0.65–0.92, p for interaction 0.42).67
The Dapagliflozin on the Incidence of Cardiovascular Events (DECLARE) trial enrolled 17 160 patients, including 59.2% with risk factor alone (men > 55 and women > 60 years, dyslipidemia, hypertension, or use of tobacco) and 40.8% with prior ASCVD.36 The trial was quite unique that two primary endpoints were tested: MACE and CV death/hospitalization for HF.36 Dapagliflozin did not reduce MACE (HR 0.93, 95% CI 0.84–1.03), but significantly reduced CV death/hospitalization for HF (HR 0.83, 95% CI 0.73–0.95, p = 0.005) both in patients with risk factor alone and patients with prior ASCVD (HRs 0.84, 95% CI 0.67–1.04 vs. 0.83, 95% CI 0.71–0.98, p for interaction 0.99).36 Dapagliflozin also reduced prespecified secondary cardiorenal composite outcome (≥40% decrease in eGFR to <60 mL/min/1.73 m2, new ESRD, or death from renal or CV causes) by 24% (HR 0.76, 95% CI 0.67–0.87, p < 0·0001) and the prespecified renal-specific composite outcome (≥40% decrease in eGFR to <60 mL/min/1.73 m2, new ESRD, or death from renal cause) by 47 % (HR 0·53, 95% CI 0·43–0·66, p < 0·0001).68 The effects on the renal-specific composite outcome were consistent in patients with risk factor alone versus patients with prior ASCVD (HRs 0.51, 95% CI 0.37–0.69 vs. 0.55, 95% CI 0.41–0.75, p for interaction 0.72).68
In a recent meta-analysis combining three trials of SGLT-2 inhibitors (EMPA-REG, CANVAS, and DECLARE),69 SGLT-2 inhibitors reduced MACE by 11% (HR 0.89, 95% CI 0.83–0.96, p = 0.0014), with benefit only seen in patients with prior ASCVD (HR 0.86, 95% CI 0.80–0.93) and not in those without (HR 1.00, 95% CI 0.87–1.16, p for interaction 0.0501). SGLT-2 inhibitors reduced the risk of CV death/hospitalization for HF by 23% (HR 0.77, 95% CI 0.71–0.84, p < 0·0001), with a similar benefit in patients with and without ASCVD (HR 0.76, 95% CI 0.69–0.84 vs. 0.84, 95% CI 0.69–1.01, p for interaction 0.41). SGLT-2 inhibitors reduced the risk of progression of renal disease by 45% (HR 0.55, 95% CI 0.48–0.64, p < 0.0001), with a similar benefit in those with and without ASCVD (HRs 0.56, 95% CI 0.47–0.67 vs. 0.54, 95% CI 0.42–0.71, p for interaction 0.71).69 Another meta-analysis shared similar findings.63 Taken together, the consensus group gave a high priority to SGLT-2 inhibitors for patients with risk factor alone, based on their effects on renal and HF events.
3.4. Treatment algorithm in diabetic patients with multiple risk factors
The treatment algorithm for diabetic patients with risk factor alone is shown in Table 3. The target of HbA1c is <7%. Metformin is the first-line therapy based on the findings from the UKPDS study,29 and its global availability, affordability, overall safety, and tolerability. For dual therapy, we recommended metformin plus SGLT-2 inhibitors. SGLT-2 inhibitors reduced composite renal endpoints66,68 and CV death/hospitalization for HF in patients with risk factor alone.36,67 GLP-1 RAs were recommended as the first third-line therapy based on the REWIND trial61 and a meta-analysis,64 but only those GLP-1 RAs proven to be effective should be selected. The next recommendation would be thiazolidinedione (TZD; pioglitazone) based on the findings from the PROactive trial.15 DPP-4 inhibitors have neutral effects on MACE and a low risk of hypoglycemia, making them the third-line therapy. SU, glinides, or alpha-glucosidase inhibitor (AGI) are the last choices.
4. TREATMENT OF DIABETES IN PATIENTS WITH CORONARY HEART DISEASE
For many years, patients with diabetes but devoid of CHD have presumably the same risk for future MI as those with known CHD but devoid of diabetes.70 CHD is a major determinant of long-term prognosis in patients with type 2 diabetes. Furthermore, in patients with type 2 diabetes, there is an increased mortality after MI.70 In the UKPDS 35, an observational part of the UKPDS trial, the risk of CHD correlated with the baseline HbA1c.9 For every 1% increase in HbA1c, the risk of fatal and nonfatal MI increased by 14%.9 However, the four RCTs testing intensive glucose control versus conventional glucose control did not show positive results in reducing MACE in individual trials.11–14 The percentages of patients with preexisting CVD were 0% in the UKPDS trial, 35% in the ACCORD trial, 32% in the ADVANCE trial, and 41% in the VADT trial.11–14 It remains uncertain whether absence of benefits is due to inclusion of patients with advanced stage heart disease beyond a period of reversibility, short trial duration for effect to manifest, safety issue of antidiabetic agents, or simply absence of effect of glucose lowering per se.6 In the ACCORD trial, the three-point MACE was nonsignificantly decreased by 10% (HR 0.90, 95% CI 0.78–1.04), but nonfatal MI was significantly decreased (HR 0.76, 95% CI 0.62–0.92, p = 0.004).12 The trial was prematurely terminated due to an increase in total mortality (HR 1.22, 95% CI 1.01–1.46, p = 0.04) and CV mortality (HR 1.35, 95% CI 1.04–1.76, p = 0.02), driven in part by a nonsignificant increase in fatal and nonfatal HF (HR 1.18, 95% CI 0.93–1.49, p = 0.17).12 Before 2008, most of RCTs testing aggressive management in diabetes were largely neutral or even had some harmful effects. However, two meta-analyses showed a significant reduction in nonfatal MI with intensive glucose control.16,71
4.2. Target of HbA1c
The risk of CVD and total mortality has a linear relationship with the level of HbA1c.72 The risk of MI starts to increase from a level of HbA1c of 6% or above.9 However, four RCTs, including the UKPDS trial,11 the ACCORD trial,12 the ADVANCE trial,13 and the VADT trial,14 targeting lower HbA1c levels did not show an improvement in CV outcomes. The final achieved HbA1c levels were 7.0%, 6.4%, 6.5%, and 6.5% respectively.11–14 The risk of total mortality in the ACCORD trial was actually increased and resulted in a premature termination.12 Notably, neither the ADVANCE trial nor the VADT trial demonstrated an increase in mortality or in composite CV endpoints with intensive glucose control defined by HbA1c < 7%.13,14 A meta-analysis showed that allocation to more-intensive, compared with less-intensive, glucose control reduced the risk of MACEs by 9% (HR 0.91, 95% CI 0.84–0.99),71 primarily driven by a 15% reduction in MI (HR 0.85, 95% CI 0.76–0.94), without an increase in mortality. However, intensively treated patients had significantly higher major hypoglycemic events (HR 2.48, 95% CI 1.91–3.21).71 Iatrogenic hypoglycemia is the limiting factor in the intensive glycemic management and is an independent factor for excess morbidity and mortality. When treating patients with antidiabetic agents with low hypoglycemic potential, a lower level of HbA1c might be preferable. For instance, in a population-based cohort study including all metformin initiators in 24 752 patients with type 2 diabetes with a median age of 62.5 years, the risk of a combined outcome events (acute MI, stroke, or death) gradually increased in parallel with HbA1c achieved at 6 months, compared with a target HbA1c of <6.5%: adjusted HR 1.18 (95% CI 1.07–1.30) for 6.5%–6.99%, HR 1.23 (95% CI 1.09–1.40) for 7.0%–7.49%, HR 1.34 (95% CI 1.14–1.57) for 7.5%–7.99%, and HR 1.59 (95% CI 1.37–1.84) for ≥8%.45 A large absolute HbA1c reduction from baseline also predicted outcome: adjusted HR 0.80 (95% CI 0.65–0.97) for a difference of 4%, HR 0.98 (95% CI 0.80–1.20) for a difference of 3%, HR 0.92 (95% CI 0.78–1.08) for a difference of 2%, and HR 0.99 (95% CI 0.89–1.10) for a difference of 1%, compared with no HbA1c change (difference = 0%).45
Given that most of the new antidiabetic agents have superior safety profiles, the consensus recommended HbA1c less than 7.0% as the treatment target for the diabetic patients with CHD. Modern treatment strategies, that is, drug strategy designed to maximize HbA1c reduction while minimizing hypoglycemia and weight gain were recommended. However, an HbA1c less than 6.5% may be considered in selected patients who are younger, highly educated and highly motivated, and have a low hypoglycemic risk, fewer comorbidities, and short diabetes duration.
4.3. Choice of drugs
There is only a trial testing the efficacy of antidiabetic agent specifically in patients with CHD (the ACE trial).52 Nevertheless, most of the CV outcome trials enrolled patients with a history of CVD, including a large proportion of patients with CHD. Moreover, fatal and nonfatal MI is generally a major component of the three-point MACE, providing important information for this consensus.
In the UKPDS trial, metformin therapy in overweight patients was associated with a significantly lower risk of MI and total mortality compared with conventional lifestyle therapy (HR 0.61, 95% CI 0.41–0.89; HR 0.64, 95% CI 0.45–0.81, respectively).29 The benefits persisted at 10 years in posttrial follow-up (HR 0.67, 95% CI 0.51–0.89, p = 0.005; HR 0.73, 95% CI 0.59–0.89, p = 0.002; respectively).43 Hong et al. reported that metformi- reduced MACE compared with glipizide (adjusted HR [aHR] 0.54, 95% CI 0.30–0.90, p = 0.026) in patients with stable CHD during a 5-year follow-up in a small RCT of 304 patients.73 In a meta-analysis of 35 clinical trials, including 7171 metformin-treated patients and 11 301 patients treated with comparator, a significant benefit was observed in the metformin group versus placebo/no therapy group (odds ratio [OR] 0.79, 95% CI 0.64–0.98, p = 0.031), but not in active-comparator trials (OR 1.03, 95% CI 0.72–1.77, p = 0.89).47 Meta-regression suggested that metformin monotherapy was marginally associated with an improved survival (OR 0.801, 95% CI 0.625–1.024, p = 0.076).47 However, concomitant use with SUs was associated with a reduced survival (OR 1.432, 95% CI 1.068–1.918, p = 0.016).47 A previously published Cochrane analysis also reported that treatment with metformin in overweight diabetic patients was associated with a decreased risk of CV mortality compared with any other antidiabetic agents or a placebo.74 Moreover, an updated meta-analysis of 40 studies comprising 1 066 408 CHD patients showed that metformin reduced the CV mortality, all-cause mortality and incidence of CV events (aHRs 0.81, 0.67, and 0. 83, respectively).75 Subgroup analysis showed that metformin reduced all-cause mortality in patients with a history of MI (aHR = 0.79).75
In a retrospective 5-year follow-up observational cohort study of 11 293 Chinese patients with type 2 diabetes, metformin monotherapy together with lifestyle recommendations was associated with a 33% reduction in CHD compared with lifestyle (HR 0.670, 95% CI 0.521–0.862, p = 0.002).76 In a prospective nationwide ACS-DM TSOC registry from Taiwan, among 1157 type 2 diabetes patients with history of acute coronary syndrome (ACS) receiving antidiabetic agents, metformin users had a lower all-cause mortality rate (aHR 0.50, 95% 0.26–0.95) over the 2-year follow-up in the primary analysis.77 The survival benefit of metformin therapy was consistent in the secondary analyses (aHR 0.30, 95% CI 0.17–0.54 while adjusting for all predetermined covariates, and aHR 0.34, 95% CI 0.19–0.59 while adjusting for quintiles of the propensity score).77 In a substudy of the DPP (Diabetes Prevention Program) and the DPPOS (Diabetes Prevention Program Outcome Study), there was no difference in coronary artery calcification (CAC) between lifestyle and placebo intervention groups in either sex.78 But CAC severity and the percentage of presence of CAC were significantly lower among men in the metformin versus the placebo group (age-adjusted mean CAC severity, 39.5 vs. 66.9 Agatston units, p = 0.04; the percentage of presence of CAC, 75% vs. 84%, p = 0.02), whereas metformin was not effective in women.78 However, metformin did not decrease carotid intima-media thickness in CHD patients who did not have diabetes.79
Lactic acidosis is an uncommon but potentially lethal complication of metformin.80 Though several comparative studies of metformin versus other antidiabetic agents did not show an increase in the risk of lactic acidosis,81,82 metformin should not be used in patients with stage 4 and 5 CKD, that is, eGFR <30 mL/min/1.73m2.83
The consensus group recommended metformin as the first-line therapy for patients with diabetes and CHD.
There are controversies in the CV safety of SUs. In the University Group Diabetes Program (UGDP) in early 1970, tolbutamide was associated with an increase in CV and total mortality.84 In the UKPDS trial, intensive glucose lowering with SUs and insulin did not decrease the risk of MI (HR 0.84, 95% CI 0.71–1.00, p = 0.052).11 In the ADVANCE trial, use of gliclazide did not reduce the three-point MACE (HR 0.94, 95% CI 0.84–1.06), or nonfatal MI (HR 0.98, 95% CI 0.77–1.22).13 In a retrospective cohort study using the UK General Practice Research Database of 91 521 patients with diabetes, both the first-generation and the second-generation SUs (including glimepiride and gliclazide) increased total mortality compared with metformin (HR 1.37, 95% CI 1.11–1.71, p = 0.0003 for first-generation SUs; HR 1.24, 95% CI 1.14–1.35, p < 0.001 for second-generation SUs.85 The risk of MI was also numerically higher with SUs compared with metformin (HR 1.36, 95% CI 0.91–2.02 for first-generation SUs; HR 1.09, 95% CI 0.94–1.27 for second-generation SUs).85 Based on a retrospective observational data from the UK Clinical Practice Research Datalink, patients with type 2 diabetes initiating metformin monotherapy had longer survival than matched, nondiabetic controls, while those treated with SU had a markedly reduced survival compared with both matched controls and those receiving metformin monotherapy.86 From the same data, there was an increase in all-cause mortality for patients treated with metformin plus SU versus metformin plus DPP-4 inhibitors (aHR 1.497, 95% CI 1.092–2.052), and a similar trend for MACE (aHR 1.547, 95% CI 1.076–2.225).86 In a meta-analysis of 20 studies of 551 912 patients, patients receiving SU monotherapy or combination treatment had significantly higher all-cause mortality (OR 1.92, 95% CI 1.48–2.49) and CV mortality (OR 2.72, 95% CI 1.95–3.79).87 In another meta-analysis of 82 RCTs and 26 observational studies, the risk of acute MI was significantly higher in SU users than users of other antidiabetic agents (HR 1.21, 95% CI 0.78–1.99 vs. biguanide; HR 2.54, 95% CI 1.14–6.57 vs. DPP-4 inhibitors; HR 41.8, 95% CI 1.64–360.4 vs. SGLT-2 inhibitors).88 In a recent cohort from the Taiwan National Health Insurance Research Database (NHIRD), DPP-4 inhibitors were better than SUs as an add-on therapy of metformin with regard to all-cause mortality (HR 0.64, 95% CI 0.57–0.71, p < 0.001), MACE (HR 0.69, 95% CI 0.58–0.81, p < 0.001), and ischemic stroke (HR 0.62, 95% CI 0.51–0.75, p < 0.001) but not MI (HR 0.87, 95% CI 0.65–1.16, p = 0.338) and hospitalization for HF (HR 0.81, 95% CI 0.63–1.05, p = 0.112).89
There are several drawbacks in using SUs for diabetic care. Hypoglycemia episodes are more common than other newer agents. In the ADVANCE trial, severe hypoglycemia occurred more frequently in the intensive-control group using gliclazide than in the standard control group: 150 patients (2.7%) undergoing intensive control had at least one severe hypoglycemic episode, compared with 81 patients (1.5%) undergoing standard control (HR 1.86, 95% CI 1.42–2.40, p < 0.001).13 In the subanalysis of the ADVANCE trial, severe hypoglycemia was associated with a significant increase in the adjusted risks of three-point MACE (aHR 2.88, 95% CI, 2.01–4.12), major microvascular events (HR 1.81, 95% CI, 1.19–2.74), death from a CV cause (HR 2.68, 95% CI, 1.72–4.19), and death from any cause (HR 2.69, 95% CI, 1.97–3.67) (p < 0.001 for all comparisons).44 Furthermore, SU increased body weight compared with metformin, as shown in the UKPDS trial.29 The most intriguing effect of SUs is their interference with the protective mechanism in ischemic preconditioning, due to blockade of mitochondrial KATP.90 This may account for the increase in MI and CV mortality observed in many meta-analyses.
It seems that not all SUs share similar CV risk. In patients with previous MI from a Danish cohort, the HR of all-cause mortality was increased by a number of SUs compared with metformin (glimepiride 1.30, 95% CI 1.11–1.44; glibenclamide 1.47, 95% CI 1.22–1.76; glipizide 1.53, 95% CI 1.23–1.89; tolbutamide 1.47, 95% CI 1.17–1.84), but not for gliclazide (HR 0.90, 95% CI 0.68–1.20).91 In another meta-analysis of 18 trials of 167 327 patients, gliclazide and glimepiride were associated with a lower risk of all-cause and CV mortality compared with glibenclamide.92 In the CAROLINA trial, the use of glimepiride shared similar MACE rate versus linagliptin (12.0% vs. 11.8%) with the HRs consistent across all subgroups including participants with established CVD, over a median of 6.3 years in 6033 patients.55 The CAROLINA trial provided assurance CV safety for the glimepiride when compared directly with the DPP-4 inhibitor linagliptin, suggesting either one would be relatively safe after metformin in the majority of patients.55 These results are consistent with the largest meta-analyses of 47 RCTs comparing modern SUs (gliclazide, glimepiride) with an active comparator showing that newer SUs were not associated with an increased risk of overall mortality, CV mortality, MI, or stroke.93 Whether this result may be generalized to the entire class of SUs is unknown, but modern SUs (glimepiride and gliclazide MR) may be preferred over other classes of antidiabetic agents as add-on therapy for the management of uncontrolled diabetes. The ongoing phase 3 Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness (GRADE) trial (NCT01794143) aiming to examine the comparative effectiveness of glimepiride versus alternative agents (DPP-4 inhibitor, GLP-1 RA, and basal insulin) on top of metformin in patients with type 2 diabetes, and might clarify and define the effectiveness and safety of SU.
In general, the consensus group gave SUs a low priority in the treatment of diabetic patients with CHD.
There were no RCTs or observational studies to show the effect of repaglinide on the risk of MI. In the NAVIGATOR trial, 9306 participants with IGT and CVD (11.2 % had a history of MI, 8.8% angina or positive stress test, 3.7% percutaneous coronary intervention, 4.0% multivessel coronary artery bypass graft) or its risk factors were assigned to nateglinide or placebo.50 After a follow-up of 6.5 years, nateglinide did not reduce the three-point MACE plus admission for HF (HR 0.94, 95% CI 0.82–1.09, p = 0.43) or the incidence of fatal and nonfatal MI (HR 0.95, 95% CI 0.75–1.20).50 Nateglinide also significantly increased hypoglycemic episodes and body weight.50 The consensus group gave glinides a low priority in diabetic patients with CHD.
4.3.4. Alpha-glucosidase inhibitor
The STOP-NIDDM trial evaluated the effect of acarbose on the risk of CVD in 1368 patients with IGT.51 Only 4.8% patients had a previous history of CVD. After a mean follow-up of 3.3 years, there was a significant reduction in CVD (HR 0.51, 95% CI 0.28–0.95, p = 0.03) and MI (HR 0.09, 95% CI 0.01–0.72, p = 0.02) with the use of acarbose. One should be aware that there were only 13 patients with MI events in the whole trial (1 in the acarbose group, 12 in the placebo group), making a solid conclusion inappropriate.51 In a nationwide cohort study in drug-naive type 2 diabetes patients in Taiwan, there were 16.5% patients with preexisting CHD.94 After propensity score matching, acarbose has no effect on MI compared with metformin (HR 0.93, 95% CI 0.81–1.07).94 The definitive answer for the effect of acarbose on CVD came from the ACE trial.52 A total of 6522 Chinese patients with CHD were randomized to acarbose and placebo. There were 42% with previous MI, 42% with a history of previous unstable angina, and 22% with current unstable angina. After a median follow-up of 5 years, there was no difference in the five-point MACE (CV death, nonfatal MI, nonfatal stroke, hospitalization for unstable angina, and hospitalization for HF) (HR 0.98, 95% CI 0.86–1.11).52 The traditional three-point MACE (CV death, nonfatal MI, and nonfatal stroke) did not differ either (HR 0.95, 95% CI 0.81–1.11). The risk of fatal and nonfatal MI was also similar in the two groups (HR 1.12, 95% CI 0.87–1.46). Gastrointestinal side effect was more common in the acarbose group (7% vs. 5%, p = 0.0007).52 The ACE trial confirmed a neutral effect of acarbose in patients with CHD. The consensus group gave acarbose a neutral position and did not give a priority due to its gastrointestinal side effects.
In the PROactive trial, 5238 patients with type 2 diabetes and macrovascular disease were prospectively randomized to pioglitazone (15–45 mg) and placebo for 34.5 months.15 Among them, 46% had a history of MI, 31% history of previous percutaneous coronary intervention, and 19% previous stroke. The primary composite endpoint included all-cause mortality, nonfatal MI (including silent MI), stroke, ACS, endovascular or surgical intervention in the coronary or leg arteries, and amputation above the ankle. There was a trend of beneficial effect with the use of pioglitazone in the primary composite endpoints (HR 0.90, 95% CI 0.80–1.02, p = 0.095).15 The main secondary endpoint (all-cause mortality, nonfatal MI, and stroke) did show a positive effect (HR 0.84, 0.72–0.98, p = 0.027). Among the composite primary endpoints, nonfatal MI was numerically decreased by pioglitazone (HR 0.83, 95% CI 0.65–1.06).15 In the total cohort, the subgroup of patients who had a previous MI (n = 1230 in the pioglitazone group and n = 1215 in the placebo group) was evaluated using prespecified and posthoc analyses.95 Pioglitazone had a significant beneficial effect on the prespecified end point of fatal and nonfatal MI (HR 0.72, 95% CI 0.52–0.99, p = 0.045) and ACS (HR 0.63, 95% CI 0.41–0.97, p = 0.035).95
The finding of the beneficial effects of pioglitazone on MACE observed in the PROactive trial was supported by two meta-analyses of controlled trials of over 16 000 subjects.96,97 The risk of death, MI, or stroke was reduced in those treated with pioglitazone (HR 0.82, 95% CI 0.72–0.94, p = 0.005). There was an increase in HF (HR 1.41, 95% CI 1.14–1.76, p = 0.002), but HF mortality was not increased.96 The individual endpoint components were reduced by a similar magnitude and there was no heterogeneity across the trials.96 Another meta-analysis of 10 RCTs of pioglitazone in patients with CVD reported that pioglitazone reduced recurrent MACE (relative risk [RR] 0.74, 95% 0.60–0.92), MI (RR 0.77, 95% CI 0.64–0.93), and stroke (RR 0.81, 95% CI 0.68–0.96).97 Pioglitazone did not reduce all-cause mortality (RR 0.94, 95% CI 0.81–1.08), but increased risk of HF (RR 1.33, 95% CI 1.14–1.54).97
The results of PROactive were further supported by two subsequent studies examining the impact of pioglitazone on important surrogates of atherosclerosis, namely carotid intima/medial thickness (IMT) and coronary atheroma volume as delineated with intravascular ultrasound.98,99 The CHICAGO study demonstrated that the carotid IMT in type 2 diabetic patients treated with pioglitazone did not progress whereas those treated with glimepiride showed progression.98 In the PERISCOPE study, atheroma volume progressed with glimepiride but not with pioglitazone.99
There is a concern with rosiglitazone in CV safety. In a meta-analysis of 42 trials, rosiglitazone was associated with an increased risk of MI and a trend of increased CV death (HR 1.43, 95% CI 1.03–1.98, p = 0.03; HR 1.64, 95% CI 0.98–2.74, p = 0.06, respectively).20 In a nationwide, observational, retrospective cohort of 227 571 Medicare beneficiaries aged 65 years or older (mean age, 74.4 years) who initiated treatment with rosiglitazone or pioglitazone for up to 3 years.100 The adjusted HRs for rosiglitazone compared with pioglitazone were 1.06 (95% CI 0.96–1.18) for MI; 1.27 (95% CI 1.12–1.45) for stroke; 1.25 (95% CI 1.16–1.34) for HF; 1.14 (95% CI 1.05–1.24) for death; and 1.18 (95% CI 1.12–1.23) for the composite of MI, stroke, HF, or death. The attributable risk for this composite endpoint was 1.68 (95% CI 1.27–2.08) excess events per 100 person-years of treatment with rosiglitazone compared with pioglitazone.100 The corresponding number needed to harm was 60 (95% CI 48–79) treated for 1 year.100 In response, an interim analysis of the RECORD trial was published.101 This trial randomized 4447 patients with type 2 diabetes to rosiglitazone plus either metformin or SU or an active control (metformin plus SU). No elevated risk for MI or death in the rosiglitazone group was noted at 3.75 years follow-up.101 The final analysis showed that after a mean follow-up of 5.5 years, rosiglitazone was noninferior to a combination of metformin and SU with regards to the primary endpoint of CV hospitalization or CV death (HR 0.99, 95% CI 0.85–1.16), but its effect on MI was inconclusive due to small number of events (HR 1.14, 95% CI 0.80–1.63).102
The consensus group gave a high priority to pioglitazone in the treatment of diabetes patients with CHD.
Only a few prospective interventional trials have specifically tested the CV effects of insulin treatment in type 2 diabetes. In the UKPDS trial, patients received insulin/SU therapy had similar risk of MI compared with patients on conventional diet therapy for a follow-up of 10 years (HR 0.84, 95% CI 0.71–1.00, p = 0.052).11 However, a significant reduction in MI was observed after an additional follow-up of about 10 years (HR 0.85, 95% CI 0.74–0.97).43 In the ORIGIN trial, 12 537 patients with CV risk factors plus impaired fasting glucose (IFG), IGT, or type 2 diabetes were randomized to receive insulin glargine or standard care for a median follow-up of 6.2 years.49 There were 35.2% of patients with a history of MI. The rates of three-point MACE and MI, in particular, were similar between the insulin group and the control group (HRs 1.02, 95% CI 0.94–1.11; 1.02, 95% CI 0.88–1.19, respectively).49 Recently, 7637 patients with type 2 diabetes were randomized to receive either insulin degludec (3818 patients) once daily or insulin glargine U100 (3819 patients) once daily in the DEVOTE trial.103 A total of 6509 (85.2%) had established CV disease, CKD, or both. The percentage of patients with a history of MI was not reported. Although severe hypoglycemia occurred less in the degludec group (OR 0.60, 95% CI 0.48–0.76, p < 0.001 for superiority), the primary outcome did not show significant difference (HR 0.91, 95% CI 0.78–1.06, p < 0.001 for noninferiority, p > 0.05 for superiority).103 The subgroup analysis did not show significant difference in patients with established CVD versus those without established CVD (HRs 0.89, 95% CI 0.76–1.04; 1.03, 95% CI 0.62–1.72, respectively, p for interaction = 0.5742). In the BARI 2D trial, 295 active smokers were randomized to receive insulin therapy or placebo (insulin sensitization therapy) and followed for a median of 5.3 years.104 Among them, 60% patients had a history of MI. Insulin therapy was independently associated with a significantly increased hazard of MI (HR 3.23, 95% CI 1.43–7.28, p = 0.005).104 A meta-analysis of 3 RCTs including 7649 patients on insulin therapy and 8322 taking OADs reported that insulin did not differ from OADs in all-cause mortality (RR 1.00, 95% CI 0.93–1.07), CV death (RR 1.00, 95% CI 0.91–1.09), MI (RR 1.04, 95% CI 0.93–1.16), angina (RR 0.97, 95% CI 0.88–1.06), sudden death (RR 1.02, 95% CI 0.66–1.56), or stroke (RR 1.01, 95% CI 0.88–1.15).105
Therefore, the consensus group did not give insulin a high priority in the initial therapy in diabetic patients with CHD.
4.3.7. DPP-4 inhibitors
Four DPP-4 inhibitors, namely saxagliptin, alogliptin, sitagliptin, linagliptin, have been tested in 4 large-scale RCTs (SAVOR, EXAMINE, TECOS, and CAMELINA, respectively).24,26,53,54 In general, the effects on MACE and all-cause mortality were neutral. In the SAVOR trial, 16,492 patients with type 2 diabetes who had a history of, or were at risk for, CV events were randomized to receive saxagliptin or placebo and followed for a median of 2.1 years.53 Among them, 37.8% of patients had a history of MI. The overall efficacy in the three-point MACE showed no difference with the use of saxagliptin compared with placebo (HR 1.00, 95% CI 0.89–1.12, p = 0.99 for superiority: p < 0.001 for noninferiority). Among the three-point MACE, the risk of MI was not different with the use of saxagliptin compared with placebo (HR 0.95, 95% CI 0.80–1.12).53 In the EXAMINE trial, 5380 patients with either an acute MI or unstable angina requiring hospitalization within the previous 15–90 days were enrolled.54 Among them, 87.5% had a history of acute MI. The overall efficacy in the three-point MACE showed no difference from the use of alogliptin compared with placebo (HR 0.96, p = 0.32). Among the three-point MACE, nonfatal MI was not different with the use of alogliptin compared with placebo (HR 1.08, 95% CI 0.88–1.33).54 Recently a landmark analysis of the EXAMINE trial reported that early (up to 6 months) DPP-4 inhibition with alogliptin did not increase the risk of early CV death/MI/stroke (HR 0.96, 95% CI, 0.76–1.21) or hospitalization for HF (1.23, 95% CI 0.84–1.82).106 The TECOS trial randomized 14 671 patients with type 2 diabetes and established CV disease to sitagliptin or placebo, in addition to usual care.24 Among them, 42.6% of patients had a history of MI. The four-point MACE (CV death, nonfatal MI, nonfatal stroke, or hospitalization for unstable angina) occurred in 839 patients in the sitagliptin group (11.4%, 4.06 per 100 person-years) and 851 patients in the placebo group (11.6%, 4.17 per 100 person-years). Sitagliptin was noninferior to placebo for the four-point MACE (HR 0.98, 95% CI 0.88–1.09, p < 0.001). Among the four-point MACE, fatal and nonfatal MI was not different with the use of sitagliptin compared with placebo (HR 0.95, 95% CI 0.81–1.11).24 The subgroup analysis of patients experiencing an MI during a median follow-up of 3.0 years was reported recently.107 The composite outcome occurred in 58 (20.1%, 13.9 per 100 person-years) sitagliptin group participants and 50 (16.6%, 11.7 per 100 person-years) placebo group participants (HR 1.21, 95% CI 0.83–1.77, p = 0.32, adjusted HR 1.23, 95% CI 0.83–1.82, p = 0.31). On-treatment sensitivity analyses also showed no significant between-group differences in post-MI outcomes.107 In the CARMELINA trial, 6979 patients were followed up for a median 2.2 years.26 Among participants, 58% of patients had a history of CHD. Use of linagliptin versus placebo resulted in a similar effect on the three-point MACE (12.4% vs. 12.1%).26 A pooled analysis of safety data from 19 trials evaluating high-risk diabetic patients with pre-existing CHD showed that the addition of linagliptin to existing treatment was not associated with an increase in cardiac adverse events (AEs).108
In summary, DPP-4 inhibitors have demonstrated their effect on CV safety but not on MACE among more than 50 000 patients in large-scale RCTs. These data suggest that DPP4 inhibitors are a safe choice within the glucose-lowering stepped algorithm. The consensus group gave a neutral position to DPP-4 inhibitors in diabetic patients with CHD.
4.3.8. GLP-1 receptor agonists
Seven RCTs of GLP-1 RAs (ELIXA, LEADER, SUSTAIN-6, EXSCEL, HARMONY, REWIND, and PIONEER 6) have been reported in the past 4 years using lixisenatide, liraglutide, semaglutide, exenatide, albiglutide, dulaglutide, and oral semaglutide, respectively.23,56–61 Most RCTs used a three-point MACE as a primary outcome, except for the ELIXA trial which used a four-point MACE, including time to first occurrence of hospitalization for unstable angina. Asides from noninferiority for CV outcomes, many of them demonstrated superiority of these drugs versus placebo.
In the ELIXA trial, 6,068 patients with ACS within 180 days were randomized to daily lixisenatide or placebo.23 There were 82.4% patients with MI. The overall efficacy in the four-point MACE (CV death, nonfatal MI, nonfatal stroke, and unstable angina) showed no difference with the use of lixisenatide compared with placebo (HR 1.02, 95% CI 0.89–1.17). Among the four-point MACE, MI was not different with the use of lixisenatide compared with placebo (HR 1.03, 95% CI 0.87–1.22).23
The LEADER trial examined the effects of a daily injection of liraglutide versus placebo in 9340 high-risk patients over a median follow-up of 3.8 years.57 In the LEADER trial, 30% patients had a history of MI. There was a significant reduction in the three-point MACE with the use of liraglutide versus placebo (HR 0.87, 95% CI 0.78–0.97, p = 0.01).57 The reduction in the primary endpoint was driven by significantly lower CV mortality (4.7% vs. 6%, p = 0.007). Moreover, liraglutide reduced all-cause mortality (8.2% vs. 9.6%, p = 0.02). Total MI was also significantly reduced (HR 0.86, 95% CI 0.73–1.00, p = 0.0460), but not nonfatal MI (HR 0.88, 95% CI 0.75–1.03). Liraglutide reduced three-point MACE in patients with a history of MI/stroke compared with placebo (17.3% vs. 20.4%; HR, 0.85; 95% CI, 0.73–0.99). In patients with risk factors alone, the HR for liraglutide versus placebo was 1.08 (95% CI, 0.84–1.38, p for interaction = 0.11).57
In the SUSTAIN-6 trial, which had similar inclusion criteria as the LEADER trial, 3297 patients with high CV risk were enrolled.58 Among them, 60.5% had a history of CHD, including 32.5% had a history of MI. The three-point MACE was significantly reduced by semaglutide for subcutaneous injection once weekly (HR 0.74, 95% CI 0.58–0.95, p = 0.02), including a nonsignificant reduction in the risk of nonfatal MI (HR 0.74, 95% CI 0.51c1.08).58 In the subgroup analysis, patients with established CVD had a significant reduction in the three-point MACE (HR 0.72, 95% CI 0.55–0.93), while those without CVD had a neutral effect with the use of semaglutide (HR 1.00, 95% CI 0.41–2.46), though p value for interaction was 0.49.58 In a post-hoc analysis from the SUSTAIN 6 trial, semaglutide reduced the risk of MACE in all subjects versus placebo, regardless of baseline CV risk profile (prior MI/stroke vs no prior MI/stroke).109
In the EXSCEL trial, a total of 14 752 patients were randomized to exenatide or placebo with a median duration of follow-up of 3.2 years.56 Of these participants, 52.7% patients had a history of CHD. The overall efficacy in the three-point MACE showed no difference with the use of exenatide compared with placebo (HR 0.91, 95% CI 0.83–1.00).56 The risk of fatal and nonfatal MI was not reduced (HR 0.97, 95% CI 0.85–1.10), but total mortality was significantly reduced (HR 0.86, 95% CI 0.77–0.97). In the subgroup analysis, patients with established CVD had a nonsignificant reduction in the three-point MACE (HR 0.90, 95% CI 0.82–1.00). This trial had no run-in period and therefore had one of the highest discontinuation rates of medication compared with the other RCTs.56 It otherwise was the largest study. In the subgroup analysis, patients with established CVD had a nonsignificant reduction in the three-point MACE (HR 0.90, 95% CI 0.82–1.00).56
In the Harmony trial, CV effects of once-weekly albiglutide in patients with diabetes were evaluated.60 A total of 6493 participants with approximately 100% prior CVD was followed for a median of 1.6 years. With respect to the primary endpoints, albiglutide showed superiority compared with placebo (HR 0.78, 95% CI 0.68–0.90, p = 0.0006, p < 0.0001 for noninferiority). Other secondary endpoints, such as expanded composite outcome (death from CVD, nonfatal MI, nonfatal stroke or urgent revascularization for unstable angina)(HR 0.78, 95% CI 0.69–0.90, p = 0.0005) and fatal or nonfatal MI (HR 0.75, 95% CI 0.61–0.90, p = 0.003) were all significant reduced by albiglutide.60 However, albiglutide was withdrawn from the market by the company in July 2018.
The REWIND trial recruited a majority of people who did not have established CVD, but had other risk factors.61 Among them, just 31.5% out of a total 9901 people had prior CVD. During a median follow-up of 5.4 years, MACE occurred in 12.0% of people taking weekly subcutaneous injection of dulaglutide versus 13.4% of those taking placebo (HR 0.88, 95% CI 0.79–0.99, p = 0.026).61 In subgroup analyses, the effect of dulaglutide was the same regardless of whether patients had established CVD. Consistent effects were observed for all three components of the composite primary outcome: CV death (HR 0.91, 95% CI 0.78–1.06, p = 0.21), nonfatal MI (HR 0.96, 0.79–1.16, p = 0.65), and nonfatal stroke (HR 0.76, 0.61–0.95, p = 0.017, p for heterogeneity = 0.89).
In the PIONEER 6 trial, a total of 3183 patients were randomly assigned to receive once-daily oral semaglutide or placebo with a median duration of follow-up of 15.9 months.59 Of these participants, 84.7% were at least 50 years old and had established CVD or CKD.59 The overall efficacy in the three-point MACE showed no difference with the use of once-daily oral semaglutide compared with usual diabetic care (HR 0.79, 95% CI 0.57–1.11).59 The risk nonfatal MI (HR 1.18, 95% CI 0.73–1.90) or unstable angina resulting in hospitalization (HR 1.56, 95% CI 0.60–4.01) were not reduced, but CV death (HR 0.49, 95% CI 0.27–0.92) and all-cause mortality (HR 0.51, 95% CI 0.31–0.84) were significantly reduced.59 This trial had the shortest duration and the lowest event rates among all RCTs of GLP-1 RAs. Although the HR of this trial did not reach significance, it was very similar to that for injectable semaglutide in the SUSTAIN-6 trial (HR 0.79 vs. 0.74).58
Protective effects of GLP-1 RA were supported by two meta-analyses.63,64 In a meta-analysis of 8 trials of 77,242 patients comparing GLP-1 RAs with SGLT-2 inhibitors,63 both classes of drugs were effective in reducing MACE versus placebo in patients with established CVD (GLP-1 RAs HR 0.88, 95% CI, 0.84–0.94, p < 0.001; SGLT-2 inhibitor HR, 0.89, 95% CI 0.83–0.96, p = 0.001), whereas no effect was seen in patients without established CVD.63 In a more recent meta-analyses of all seven RCTs of GLP-1 RAs, GLP-1 RAs reduced MACE by 12% (HR 0·88, 95% CI 0·82–0·94, p < 0·001), which was significant in patients with established CVD (HR 0.86 95% CI 0.80–0.93), but not in patients who had no established CVD (HR 0.94, 95% CI 0.83–1.07), though p value for interaction was insignificant.64
Given that not all GLP-1 RAs showed CV benefit, it is unclear whether clinicians should prefer one drug over the others (drug specific) or consider that the efficacy as a class effect. Recent analyses reported that either the time of exposure to the GLP-1 RA110 or their normalized efficacy of lowering HbA1c111 appears to be the causes of these heterogeneity. The consensus group gave a high priority to GLP-1 RAs in diabetic patients with CHD, but only recommended those GLP-1 RAs proven to be effective in RCTs.
4.3.9. SGLT-2 inhibitors
To date, three SGLT2 inhibitors, namely empagliflozin, canagliflozin, and dapagliflozin, have been tested in three large-scale RCTs (EMPA-REG, CANVAS, and DECLARE).34–36 In the landmark CV outcome trial of empagliflozin (the EMPA-REG trial), 7020 patients with previous CV events who received empagliflozin had reduced risk of MACE versus placebo (HR 0.86, 95% CI 0.74–0.99, p = 0.04).34 In this trial, 75.6% of patients had CHD, and 46.4% had a history of MI. The subgroup analysis showed that there was no difference in patients with or without a history of CHD. Among the three-point MACE, there was a trend of a decrease in nonfatal MI (HR 0.87, 95% CI 0.70–1.09). Empagliflozin also reduced CV mortality (HR 0.62, 95% CI 0.49–0.77, p < 0.001) and all-cause mortality (HR 0.68, 95% CI 0.57–0.82, p < 0.001) compared with placebo, with no difference between 10 or 25 mg doses.34 Out of 7020 participants, 25% in the empagliflozin group and 24% in the placebo group had a history of coronary artery bypass surgery.112 In this subgroup, empagliflozin was associated with a 20% reduction in the risk of MACE (10.6% vs. 13.3%; HR 0.80, 95% CI 0.60–1.06), a 48% reduction for CV death (3.0% vs. 5.7%; HR 0.52, 95% CI 0.32–0.84), a 43% reduction for all-cause mortality (5.1% vs. 8.9%; HR 0.57, 95% CI 0.39–0.83), and a 50% reduction for hospitalization for HF (3.3% vs. 6.7%; HR 0.50, 95% CI 0.32–0.77).112 The risk of MI or stroke was similar between the empagliflozin and placebo group. These results supported the use of empagliflozin as secondary prevention after coronary artery bypass graft surgery in diabetic patients to reduce the risk of MACE and mortality.112 Among 1517 (21.6%) Asians, empagliflozin reduced MACE by 32% (HR 0.68, 95% CI 0.48–0.95).113 The effects of empagliflozin on the components of MACE, all-cause mortality, and HF outcomes in Asian patients were consistent with the overall population.113 The AEs of empagliflozin in Asian patients were similar to the overall trial population.113
The CANVAS program randomized 10 142 participants with diabetes and high CV risk into canagliflozin or placebo groups.35 In the CANVAS program, 56.4% patients had a history of CHD.35 The three-point MACE was significantly reduced by the use of canagliflozin versus placebo (HR 0.86, 95% CI 0.75–0.97, p = 0.02).35 In the subgroup analysis, patients with a history of CVD had benefits (HR 0.82, 95% CI 0.72–0.95), but p value for interaction was 0.18. The specific data from patients with a history of CHD was not reported. Among the three-point MACE, the fatal or nonfatal MI was numerically lower by the use of canagliflozin (HR 0.89, 95% CI 0.73–1.09).35
In the DECLARE trial, 17 160 patients, including 6974 with preexisting CVD (40.8%), were randomized to receive dapagliflozin or placebo and followed for a median of 4.2 years.36 Among them, 32% patients had a history of CHD. Dapagliflozin did not reduce MACE (8.8% in the dapagliflozin group and 9.4% in the placebo group; HR 0.93, 95% CI 0.84–1.03, p = 0.17) but did reduce CV death or hospitalization for HF versus placebo (4.9% vs. 5.8%; HR 0.83, 95% CI 0.73–0.95, p = 0.005) in the overall trial population.36 Patients with established CV disease had a nonsignificant reduction in MACE (13.9% vs. 15.3%, HR 0.90, 95% CI 0.79–1.02), which was in line with the effect size seen in the EMPA-REG and the CANVAS trials. In the prespecified subanalysis from DECLARE trial, 3584 patients with a history of MI were compared with those without prior MI (n = 13 576).114 In patients with previous MI, 15.2% of patients in the dapagliflozin arm versus 17.8% in the placebo arm experienced MACE, yielding a relative risk reduction of 16% (HR 0.84, 95% CI 0.72–0.99, p = 0.039). The absolute risk reduction translates into a number needed to treat of 39 over 4 years. In contrast, there was no effect in patients without previous MI (7.1% vs. 7.1%; HR 1.00, 95% CI 0.88–1.13, p = 0.97). Recurrent MI was also reduced in patients with previous MI with dapagliflozin versus placebo (HR 0.78, 95% CI 0.63–0.95). Patients with type 1 MI (HR 0.80, 95% CI 0.63–1.02) and type 2 MI (HR 0.64, 95% CI 0.42–0.97) all got benefits.114 The reduction in type 2 MI by dapagliflozin may be due to a mismatch between myocardial oxygen supply and demand, rather than effects on plaque rupture and atherothrombosis.114
Overall, these findings are comparable with previous findings that SGLT-2 inhibitors are more effective against HF and renal outcomes than against ASCVD. The reduction in ASCVD was only observed in patients with established CVD. Of note, in a meta-analysis of SGLT-2 inhibitors from three RCTs, the reduction in MI were limited to patients with established CVD.69
The consensus group gave a high priority to SGLT-2 inhibitors in patients with diabetes and a history of CHD.
4.4. Treatment algorithm in diabetic patients with CHD
Table 4 shows the algorithm for the pharmacological treatment of diabetes in patients with CHD. The target of HbA1c is <7%. Metformin remains the first-line therapy in diabetic patients with CHD, mainly based on the findings from the UKPDS trial,29,43 three meta-analyses,47,74,75 two observational study,76,77 and its effect on the reduction in CAC severity.78 For dual therapy, we recommend metformin plus SGLT-2 inhibitors, followed by metformin plus GLP-1 RAs, and then metformin plus TZD (pioglitazone only). The PROactive trial,15 two important meta-analyses,96,97 and two image studies (CHICAGO and PERISCOPE)96,99 provided evidences to support pioglitazone in the management of type 2 diabetes and CHD.
The role of GLP-1 RAs was supported by five RCTs,57–61 and two meta-analyses.63,64 Three RCTs provided evidence for use of SGLT-2 inhibitors.34–36 The ranking of SGLT-2 inhibitors is a little bit higher than GLP-1 RAs mainly because of a more convenient oral administration of the former. Given that patients with diabetes and CHD are at an increased risk of HF, SGLT-2 inhibitors are more favored than GLP-1 RAs. The consensus group only recommended those GLP-1 RAs proven to be effective in RCTs (Liraglutide, semaglutide, and dulaglutide). Whether oral semaglutide, which has to be administered daily 30 minutes prior to meal ingestion, will be preferred over the weekly injectable therapies, is yet to be determined. If the fourth drug is to be added, DPP-4 inhibitors are recommended due to their neutral effects and safety.24,26,53,54 SU did not have any positive trial to support its use,11,13 and the result of a Taiwanese cohort showed a worse outcome.89 In addition, the risk of hypoglycemia is well-known. Glinides and acarbose have low priority due to lack of any supporting evidence.50,52
5. TREATMENT OF DIABETES IN PATIENTS WITH STAGE 3 CHRONIC KIDNEY DISEASE
Diabetes-related CKD is a very common complication for patients with type 2 diabetes. It leads to ESRD, accounting for approximately 50% of cases in the developed world.115 According to a cross-sectional study of 6251 adult diabetic patients participating in the U.S. National Health and Nutrition Examination Surveys (NHANES) in 2009–2014, the prevalence of albuminuria (albumin creatinine ration [ACR] >30 mg/g) was 15.9%, and the prevalence of reduced eGFR (eGFR <60 mL/min/1.73 m2) was 14.1%, while 26.2% had either.116 Of note, diabetes with concomitant CKD leads to a marked increase in CVD risk.117 From the Taiwan NHIRD, the prevalence of diabetic nephropathy increased from 13.32% in 2000 to 15.42% in 2009.118 In another Taiwan cohort study of 462 293 individuals aged older than 20 years, the prevalence of stage 3–5 CKD (defined by an eGFR < 60 mL/min/1.73 m2) was 7.1% (stage 3 = 6.8%, stage 4 = 0.2%, and stage 5 = 0.1%), and the DM prevalence was 14.5%, 25.6%, and 23.6%, respectively.119
An array of similar risk factors contributed to CHD and diabetic CKD, including hyperglycemia, hypertension, dyslipidemia, smoking, ethnicity, sex, age, and a long diabetes duration. Good glycemic control is the mainstay for preventing microvascular complications, including CKD, in patients with diabetes.115 In a meta-analysis of four RCTs, intensive glucose control resulted in an absolute difference of 0.90% in mean HbA1c between more and less-intensive control groups.120 The relative risk of kidney events (defined as a composite of ESRD, renal death, development of an eGFR <30 mL/min/1.73 m2, or development of overt diabetic nephropathy) was reduced by 20% (HR 0.80, 95% CI 0.72–0.88, p < 0.0001) by intensive glycemic control, primarily driven by reduced risks of development of micro- and macro-albuminuria.120 However, intensive glucose control did not significantly reduce the risk of composite renal endpoints (eGFR < 30 mL/min/1.73 m2, doubling of serum creatinine, or ESRD).120 This finding was supported by another meta-analysis of seven trials.121 On the other hand, long-term data from the ADVANCE trial (ADVANCE-ON) demonstrated a significant reduction in ESRD in the intensive glycemic group for a follow-up of 10 years (HR 0.54, 95% CI 0.34–0.85, p < 0.01).122 Because albuminuria and likely ESRD were reduced by intensive glucose control, the American Diabetes Association (ADA) guideline suggests a general HbA1c goal of <7% to prevent or delay the progression of albuminuria and other microvascular complications in diabetes.123 It should be noted that in those studies most subjects had an eGFR>60 mL/min/1.73 m2 (or CKD stage 1 and 2) and only about 10%–25% had CKD stage 3, whereas patients with CKD stage 4 and 5 were excluded.120 The impact of glycemic control in patients with stage 4 and 5 CKD remains unclear. The goal of this consensus was mainly focused on diabetic patients with stage 2–3 CKD.
5.2. Target of HbA1c
Glycemic control in patients with CKD face special challenges, considering that the risk of severe hypoglycemia is doubled when the eGFR is less than 60 mL/min/1.73 m2.124 In other words, glucose management in diabetic patients with CKD should be a balance between glycemic control to reduce the progression of kidney disease and the avoidance of hypoglycemia. An observational study of nondialyzing CKD patients with diabetes has demonstrated a U-shaped relationship between HbA1c level and mortality, with increased mortality in patients with HbA1c levels above 8.0% or below 6.5%.125 In the ADVANCE-ON study, the benefit of intensive glycemic control to prevent ESRD was decreased in patients with moderately reduced kidney function (CKD stage 3 or greater).122 Moreover, the effects of glucose lowering on the risks of death, CV death, or MACEs did not differ by levels of kidney function. An increase in CV and all-cause mortality with intensive glucose control in the presence of stage 1–3 CKD has raised concern in the post-hoc analysis of the ACCORD data.126 Furthermore, hypoglycemia risk increased by 66% in patients with baseline serum creatinine >1.3 mg/dL compared with those with normal kidney function in the ACCORD study.127 The consensus group recommended HbA1c <7.0% as the treatment target for patients with diabetes and stage 2–3 CKD. The risk of hypoglycemia should be carefully monitored.
5.3. Choice of drugs
The CREDENCE trial is the only RCT testing the efficacy and safety of antidiabetic agents specifically in patients with CKD.25 However, the subgroup analysis comparing patient with or without CKD were generally provided in major RCTs. In general, renal events are not the primary endpoints but can provide some information.
5.3.1. Conventional glucose-lowering agents
There have been no large RCTs specifically examining the renal protective effects of insulin, SUs, glinides, alpha-glucosidase inhibitors, or metformin. The ORIGIN trial49 and the ACE trial52 are CV outcome trials, but the subgroup analyses of CKD patients versus non-CKD patients were not provided.
Among the 5238 patients in the PROactive trial, GFR data were available for 5154 (98.4%) patients. In the post-hoc analysis of the PROactive trial, 597 (11.6%) of the 5154 study patients had CKD (GFR <60 mL/min/1.73 m2).128 Pioglitazone significantly decreased secondary end points (all-cause death, MI, and stroke) in patients with CKD (HR 0.66, 95% CI 0.45–0.98), but not in patients without CKD (HR 0.89, 95% CI 0.75–1.05).128 There was a greater decline in eGFR with pioglitazone (between-group difference 0.8 mL/min/1.73 m2/y) than with placebo.128 In a meta-analysis of 15 studies involving 2860 patients, the effect of TZDs on urinary albumin excretion was inconsistent.129 In the BARI 2D trial, participants who were treated with insulin sensitizing medications (the majority taking TZDs in combination with metformin), compared with those treated with insulin-provision therapy (insulin plus SUs), had greater progression of urinary albumin excretion despite having lower HbA1c values.130 Rates of decline in eGFR, however, were similar in both treatment groups over 5 years.130 The consensus group gave TZD a slightly positive position in the treatment of patients with diabetes and CKD.
5.3.3. DPP-4 inhibitors
In the SAVOR trial, 9696 (58.8%) subjects had normoalbuminuria (ACR <30 mg/g), 4426 (26.8%) had microalbuminuria (ACR 30–300 mg/g), and 1638 (9.9%) had macroalbuminuria (ACR >300 mg/g), whereas 2% had eGFR less than 30 mL/min/1.73 m2, 13.5% eGFR between 30 and 50 mL/min/1.73 m2, and 84.5% eGFR>50 mL/min/1.73 m2.131 Treatment with saxagliptin was associated with less deterioration in ACR (p values 0.021, < 0.001, and 0.049 for individuals with baseline normoalbuminuria, microalbuminuria, and macroalbuminuria, respectively).131 The changes in ACR did not correlate with those in HbA1c. The change in eGFR was similar in the saxagliptin and placebo groups. Renal safety outcomes, including doubling of serum creatinine, initiation of chronic dialysis, renal transplantation, or serum creatinine >6.0 mg/dL, were similar as well.131 In addition, saxagliptin neither increased nor decreased the risk of the three-point MACE compared with placebo, irrespective of renal function.132 Therefore, use of saxagliptin could decrease albuminuria safely in patients with CKD, though improvement in eGFR was not observed. In the TECOS trial, 14 671 participants were categorized at baseline into eGFR stages 1, 2, 3a, and 3b (>90, 60–89, 45–59, or 30–44 mL/min/1.73 m2, respectively).133 Sitagliptin therapy was not associated with a reduction in CV outcomes for any eGFR stage. In addition, kidney function declined at the same rate for each eGFR stage, with no significant interactions of treatment effect according to eGFR levels. Therefore, sitagliptin has no clinically significant impact on CV or renal outcomes, irrespective of baseline eGFR.133 There was no secondary publication of the renal effect of alogliptin in the EXAMINE trial. A small study of 36 CKD patients with type 2 diabetes treated with alogliptin for 6 months did not show any significant change in eGFR in patients with an eGFR less than 60 mL/min/1.73 m2.134 There was no CV outcome trial for vildagliptin. According to a comprehensive review, vildagliptin can be safely used in patients with type 2 diabetes and varying degrees of renal impairment, but dose adjustments for renal impairment are required.135 In the CARMELINA trial, 74% had prior CKD (defined as eGFR <60 mL/min/1.73 m2 and/or urine albumin-creatinine ratio (UACR) >300 mg/g creatinine), 33% had both CVD and CKD, and 15.2% had an eGFR less than 30 mL/min/1.73 m2.26 Linagliptin added to usual care compared with placebo added to usual care resulted in a noninferior risk of a composite CV outcome over a median 2.2 years.26 The risk of the secondary kidney composite outcome (sustained ESRD, death due to kidney failure, or sustained decrease of ≥40% in eGFR from baseline) was not significantly different between the groups randomized to linagliptin (9.4%; 4.89 per 100 person-years) and placebo (8.8%; 4.66 per 100 person-years) (absolute incidence rate difference, 0.22 [95% CI, −0.52 to 0.97] per 100 person years). Progression of albuminuria category (i.e., change from normoalbuminuria to microalbuminuria/macroalbuminuria or change from microalbuminuria to macroalbuminuria) occurred less frequently in the linagliptin group (763/2162 [35.3%]) than in the placebo group (819/2129 [38.5%]; HR 0.86, 95% CI 0.78–0.95, p = 0.003).26 In the CAROLINA trial, 4462 (74.0%) subjects had normoalbuminuria (ACR <30 mg/g), 1275 (21.1%) had microalbuminuria (ACR 30–300 mg/g), and 1,638 (9.9%) had macroalbuminuria (ACR >300 mg/g); whereas 0.4% had eGFR <30 mL/min/1.73 m2, 18.2% eGFR between 30 and 60 mL/min/1.73 m2, and 80.9% eGFR>60 mL/min/1.73 m2.55 Among adults with relatively early type 2 diabetes and elevated CV risk, the use of linagliptin compared with glimepiride over a median 6.3 years resulted in a noninferior risk of a composite CV outcome. At least one episode of hypoglycemic AEs occurred in 320 (10.6%) participants in the linagliptin group and 1132 (37.7%) in the glimepiride group (HR 0.23, 95% CI 0.21–0.26, p < 0.001).55 There was no secondary publication of the renal effect in the CAROLINA trial.
The consensus group gave a neutral position to DPP-4 inhibitors in patients with stage 2–3 CKD.
5.3.4. GLP-1 receptor agonists
In the ELIXA trial, 6068 patients with ACS were randomized to daily lixisenatide or placebo.23 Lixisenatide did not reduce the three-point MACE (HR 1.02, 95% CI 0.89–1.17). There were 23.2% patients with preexisting CKD. The data for subgroup analysis in patients with a baseline eGFR <60 mL/min/1.73 m2 were not provided. The prespecified analysis of the percentage changes in the ACR, but not eGFR, showed a modest difference in favor of lixisenatide over placebo from baseline to 108 weeks (24% vs. 34%, p = 0.004).23 In the EXSCEL trial, weekly injection of extended-release exenatide was compared with placebo in 14 752 high-risk patients.56 The three-point MACE was not significantly changed (HR 0.91, 95% CI 0.83–1.00, p < 0.001 for noninferiority, p = 0.06 for superiority).56 There were 22.1% patients with preexisting CKD. The three-point MACE was not different in patients with eGFR levels <60 mL/min/1.73 m2 versus those with eGFR levels ≥ 60 mL/min/1.73 m2 (HR 1.01, 95% CI 0.86–1.19 vs. HR 0.86, 95% CI 0.77–0.97, p for interaction 0.12).56 The incidence of microalbuminuria, macroalbuminuria, and ESRD was provided (exenatide vs. placebo, 7.2% vs. 7.5%, 2.2% vs. 2.8%, and 0.7% vs. 0.9%, respectively) without statistical significance.56
The LEADER trial examined the effects of a daily injection of liraglutide vs. placebo in 9340 high-risk patients over a median follow-up of 3.8 years.57 The use of liraglutide was associated with a reduction in the three-point MACE (HR 0.87, 95% CI 0.78–0.97, p = 0.01). A total of 22.3% of the trial participants had an eGFR <60 mL/min/1.73 m2. Patients with eGFR levels <60 mL/min/1.73 m2 benefited more than those with eGFR levels ≥ 60 mL/min/1.73 m2 (HR 0.69, 95% CI 0.57–0.85 vs. HR 0.94, 95% CI 0.85–1.07, p for interaction 0.01).57 There was also a significant reduction of prespecified secondary renal outcomes, defined as a composite of new-onset persistent macroalbuminuria, persistent doubling of the serum creatinine level and eGFR<45 mL/min/1.73 m2, ESRD or death due to renal disease (HR 0.78, 95% CI 0.67–0.92, p = 0.003).136 The renal benefit of liraglutide was mainly derived from a 26% reduction in new-onset macroalbuminuria (HR 0.74, 95% CI 0.60–0.91, p = 0.004) without any significant changes in eGFR. A nonsignificant reduction in doubling of serum creatinine (HR 0.89, 95% CI 0.67–1.19) and the need for the initiation of renal replacement therapy (HR 0.87, 95% CI 0.61–1.24) were also observed in liraglutide-treated patients.136 In the SUSTAIN-6 trial, 3297 patients with high CV risk were enrolled.58 A once weekly injection of semaglutide significantly reduced three-point MACE (HR 0.74, 95% CI 0.58–0.95, p = 0.02).58 A total of 28.5% patients had an eGFR < 60 mL/min/1.73 m2. There is no significant treatment interactions regarding eGFR status.58 The new or worsening nephropathy (persistent macroalbuminuria, persistent doubling of the serum creatinine level and a creatinine clearance of less than 45 mL/min/1.73 m2, or the need for continuous renal replacement therapy) was significantly reduced (HR 0.64, 95% CI 0.46–0.88, p = 0.005), mainly driven by a reduction in the progression to macroalbuminuria (HR 0.54, 95% CI 0.37–0.77, p = 0.001). There was no significant reduction in progression of eGFR (HR 1.28, 95% CI 0.64–2.58) and need of renal replacement therapy (HR 0.91, 95% CI 0.40–2.07).58
In the REWIND trial, 9901 participants were enrolled.61 At baseline, 791 (7·9%) had macroalbuminuria and mean eGFR was 76·9 mL/min per 1·73 m2. During a median follow-up of 5.4 years, the primary composite outcome occurred in 594 (12·0%) participants in the dulaglutide group and in 663 (13·4%) participants in the placebo group (HR 0·88, 95% CI 0·79–0·99, p = 0·026). The renal outcome (new macroalbuminuria, 30% fall in eGFR, or renal replacement therapy) developed in 848 (17·1%) participants in the dulaglutide group and in 970 (19·6%) participants in the placebo group (HR 0·85, 95% CI 0·77–0·93, p = 0·0004). The striking effect was the reduction in new macroalbuminuria (HR 0·77, 95% CI 0·68–0·87, p < 0·0001). Sustained decline in eGFR of 30% or more (HR of 0·89, 95% CI 0·78–1·01, p = 0·066) and chronic renal replacement therapy (HR 0·75, 95% CI 0·39–1·44, p = 0·39) were not significantly changed.61,62 In the PIONEER-6 trial, 3183 patients were enrolled.59 Twenty-nine (0.9%) subjects had eGFR less than 30 mL/min/1.73 m2, 827 (26.0%) eGFR between 30 and 60 mL/min/1.73 m2, 1389 (43.6%) eGFR between 60 and 90 mL/min/1.73 m2, and 919 (28.9%) eGFR>90 mL/min/1.73 m2. A total of 1,051 participants (~33%) had microalbuminuria or proteinuria. MACE occurred in 61 of 1591 patients (3.8%) in the oral semaglutide group and 76 of 1592 (4.8%) in the placebo group (HR 0.79, 95% CI 0.57–1.11, p < 0.001 for noninferiority).59 The assessment of renal or microvascular composite endpoint was not predefined in the PIONEER-6 trial.
In summary, all these RCTs show a positive effect of GLP-1 RAs in three-point MACE and renal events, though the main renal effect was the reduction in albuminuria, not in hard renal endpoints. The consensus group gave a high priority to GLP-1 RAs in patients with diabetes and CKD.
5.3.5. SGLT-2 inhibitors
In the EMPA-REG trial, 7020 patients with previous CV events were enrolled.34 Patients who received empagliflozin had reduced rates of MACE, CV mortality, and all-cause mortality compared with placebo.34 There were 26.0% patients with preexisting CKD. The CV effects were consistent in patients with an eGFR <60 mL/min/1.73 m2 versus those ≥60 mL/min/1.73 m2. Empagliflozin reduced renal outcomes in the EMPA-REG OUTCOME trial.137 All patients in the study had an eGFR >30 mL/min/1.73m2, and approximately 25% had an eGFR <60 mL/min/1.73 m2, 11% had macroalbuminuria, and 29% had microalbuminuria. The primary renal endpoint of the trial was the composite of new-onset or worsening of nephropathy (progression to macroalbuminuria, doubling of serum creatinine level associated with an eGFR < 45 mL/min/1.73 m2, initiation of renal replacement therapy and death from renal disease). This renal endpoint occurred in 18.8% in the placebo group and 12.7% in the empaglifozin group (HR 0.61, 95% CI 0.53–0.70, p < 0.001).137 Empaglifozin treatment resulted in a 44% risk reduction in doubling of serum creatinine levels accompanied by an eGFR < 45 mL/min/1.73m2(HR 0.56, 95% CI 0.39–0.79, p < 0.001), and a 55% risk reduction in initiation of renal replacement therapy (HR 0.45, 95% CI 0.21–0.97, p = 0.04).137 There was also a decrease in the progression to macroalbuminuria (HR 0.62, 95% CI 0.54–0.72, p < 0.001).137 The time course of the changes in eGFR in the empagliflozin group and the placebo group were different in the EMPA-REG trial.37 From baseline to week 4, there was a short-term decrease in the eGFR in the empagliflozin group, with mean (±SE) adjusted estimates of weekly decreases of 0.62 ± 0.04 mL/min/1.73 m2 in the 10-mg group and 0.82 ± 0.04 mL/min/1.73 m2 in the 25-mg group, compared with a small increase of 0.01 ± 0.04 mL/min/1.73 m2 in the placebo group (p < 0.001 for both comparisons with placebo).137 Thereafter, during long-term administration from week 4 to the last week of treatment, the eGFR remained stable in the empagliflozin groups but declined steadily in the placebo group, with adjusted estimates of annual decreases of 0.19 ± 0.11 mL/min/1.73 m2 in the 10-mg and 25-mg empagliflozin groups, compared with a decrease of 1.67 ± 0.13 mL/min/1.73 m2 in the placebo group (p < 0.001 for both comparisons with placebo).137
The CANVAS program randomized 10 142 participants with diabetes and high CV risk into canagliflozin or placebo groups.35 There were 17.5% patients with preexisting CKD. Diabetic patients receiving canagliflozin had lower rate of the three-point MACE (HR 0.86, 95% CI 0.75–0.97, p = 0.02).35 Among the participants, 22.6% had microalbuminuria and 7.6% had macroalbuminuria. Patients with an eGFR <60 mL/min/1.73 m2 had a significant reduction in the three-point MACE (HR 0.70, 95% CI 0.55–0.90), but the intergroup difference compared with patients with an eGFR ≥ 60 mL/min/1.73 m2 was nonsignificant (p for interaction 0.20).35 For renal outcomes, the results showed significant benefits of canagliflozin in the progression of albuminuria (HR 0.73, 95% CI 0.67 to 0.79) and the composite outcome of a sustained 40% reduction in the eGFR, the need for renal replacement therapy, or death from renal causes (HR 0.60, 95% CI 0.47–0.77).35
The DECLARE trial randomized 17 160 participants including 6974 (40·6%) with established ASCVD and 10 186 (59·4%) with multiple risk factors.36 About 8162 (47·6%) had an eGFR of at least 90 mL/min per 1.73 m2, 7732 (45·1%) had an eGFR of 60 to <90 mL/min per 1.73 m2, and 1265 (7·4%) had an eGFR of <60 mL/min per 1.73 m2 at baseline. Dapagliflozin met the prespecified criterion for noninferiority to placebo with respect to MACE (p < 0.001 for noninferiority) but did result in a lower rate of CV death/hospitalization for HF (4.9% vs. 5.8%; HR 0.83, 95% CI 0.73–0.95, p = 0.005). The hospitalization for HF was reduced by 27% (HR 0.73, 95% CI, 0.61–0.88).36 The cardiorenal secondary composite outcome (≥40% decrease in eGFR to <60 mL/min/1.73 m2, ESRD, or death from renal or CV cause) was significantly reduced with dapagliflozin versus placebo (HR 0.76, 95% CI 0.67–0.87, p < 0.0001); the renal-specific outcome (≥40% decrease in eGFR to <60 mL/min/1.73 m2, ESRD, or death from renal cause) was also reduced (HR 0.53, 95% CI 0.43–0.66, p < 0.0001). The risk of ESRD or renal death was lower in the dapagliflozin group than in the placebo group (11 [0·1%] vs. 27 [0·3%]; HR 0.41, 95% CI 0.20–0.82, p = 0.012). Both the cardiorenal and renal-specific composite outcomes were improved by dapagliflozin versus placebo across various prespecified subgroups, including those defined by baseline eGFR (cardiorenal outcome: p for interaction = 0·97; renal-specific outcome: p for interaction = 0·87) and the presence or absence of established ASCVD (cardiorenal outcome: p interaction = 0·67; renal-specific outcome: p for interaction = 0·72).
The CREDENCE trial was designed specifically to test the renal effect of SGLT-2 inhibitor canagliflozin.25 Patients with type 2 diabetes and albuminuric CKD were assigned to receive canagliflozin at a dose of 100 mg daily or placebo. All patients had an eGFR of 30–90 mL/min/1.73 m2 and albuminuria (UACR 300–5000) and were treated with renin–angiotensin–aldosterone system (RAAS) blockade. Of the 4401 patients enrolled, baseline mean eGFR was 56.2 mL/min/1.73 m2 and median UACR was 927 mg/g. The relative risk of the primary outcome of composite of ESRD (dialysis, transplantation, or a sustained estimated GFR of <15 mL/min/1.73 m2), a doubling of the serum creatinine level, or death from renal or CV causes was 30% lower in the canagliflozin group than in the placebo group (HR 0.70, 95% CI 0.59–0.82, p = 0.00001). The relative risk of the renal-specific composite of ESRD, a doubling of the creatinine level, or death from renal causes was lower by 34% (HR 0.66, 95% CI 0.53–0.81, p < 0.001), and the relative risk of ESRD was lowered by 32% (HR 0.68, 95% CI 0.54–0.86, p = 0.002).25 The canagliflozin group also had a lower risk of CV death, MI, or stroke (HR 0.80, 95% CI 0.67-0.95, p = 0.01) and hospitalization for HF (HR 0.61, 95% CI 0.47–0.80, p < 0.001).25
In a recent meta-analysis of 8 trials of 77 242 patients, both GLP-1 RAs and SGLT-2 inhibitors were effective in reducing MACE, hospitalization for HF, and renal endpoints.63 Both drugs decreased broad kidney endpoints which included the reduction in proteinuria. But only SGLT-2 inhibitors decreased hard kidney endpoints. Overall, SGLT-2 inhibitors were the treatment of choice for CKD.63 Three ongoing SGLT2i trials including Dapagliflozin and Renal Outcomes and Cardiovascular Mortality in Patients with CKD (DAPA-CKD) (NCT03036150), Effect of Sotagliflozin on Cardiovascular and Renal Events in Patients With Type 2 Diabetes and Moderate Renal Impairment Who Are at Cardiovascular Risk (SCORED) (NCT03315143), and the Study of Heart and Kidney Protection with Empagliflozin (EMPA-KIDNEY) (NCT03594110) will provide ample data of the effect of dapagliflozin, sotagliflozin, and empagliflozin on renal and CV outcomes in patients with CKD. It is generally believed that the benefits on renal events with SGLT-2 inhibitors are class effects. The mechanisms responsible for the renoprotective effect of SGLT-2 inhibitor are different from RAAS inhibitors. RAAS inhibitors reduce intraglomerular pressure via efferent arteriolar vasodilatation, leading to reductions in intraglomerular hypertension and renal hyperfiltration.138 In nondiabetic subjects, SGLT-2 is responsible for about 5% of total renal NaCl reabsorption.139 In hyperglycemic state, SGLT-1 and SGLT-2 mRNA expression is increased by 20% and 36%, respectively,140–142 and accounting for 14% of total renal NaCl reabsorption. Consequently, NaCl delivered to the distal tubule markedly decreases.143 The decline in macula densa NaCl delivery is sensed erroneously as a signal of a reduction in effective circulatory volume by the juxtaglomerular apparatus. Due to the tubuloglomerular feedback, this leads to maladaptive afferent arterial vasodilatation and increase intraglomerular pressure.144 SGLT-2 inhibitors increase distal renal NaCl delivery, and reverse the process, leading to vasoconstriction of afferent arteriole and suppression of hyperfiltration. This is the fundamental mechanism of the renoprotection effect of SGLT-2 inhibitors.139 BP reduction has been suggested as a possible mechanism. However, it is unlikely that BP-lowering effect improves kidney function over the relatively short period of drug exposure in these RCTs.139
The consensus group gave a very high priority to SGLT-2 inhibitors in patients with diabetes and stage 3 CKD (eGFR ≥ 30 mL/min/1.73 m2).
5.4. Treatment algorithm in diabetic patients with stage 3 CKD
Table 5 shows the algorithm for the treatment of diabetes in patients with stage 2–3 CKD. The target of HbA1c is <7%. SGLT-2 inhibitors or metformin is the first-line therapy, but SGLT-2 inhibitors are preferred ahead of metformin. For dual therapy, we recommend SGLT-2 inhibitors plus metformin. The use of SGLT-2 inhibitors is compelling based on their effects in reducing three-point MACE and renal endpoints in the CREDENCE trial,25 the EMPA-REG trial,34 the CANVAS Program,35 and the DECLARE trial.36 For triple therapy on top of metformin/SGLT-2 inhibitors, we recommended GLP-1 RAs, followed by TZD, and then DPP-4 inhibitors. The role of GLP-1 RAs was supported by the LEADER trial in which the patients with CKD stage 3 had better CV outcomes and the renal endpoints were significantly reduced.57,136 The benefits in the renal events by semaglutide in the SUSTAIN-6 trial and dulaglutide in the REWIND trial also support a higher ranking of GLP-1 RAs than TZD and DPP-4 inhibitors.58,61 The role of TZD was supported by the post-hoc analysis of the PROactive trial in which patients with stage 3 CKD had benefits in the secondary CV endpoints.128 DPP-4 inhibitors have neutral effect in CV and renal endpoints. SUs and glinides have hypoglycemic risk in diabetics with stage 3 CKD. Acarbose has gastrointestinal side effects (bloating, diarrhea). For these reasons, they were ranked in a lower tier and should be reserved for patients who cannot tolerate or have contraindication for GLP-1 RAs, TZD, or DPP-4 inhibitors.
5.5. Dose consideration in CKD
CKD can impact the pharmacokinetics or pharmacodynamics of antidiabetic agents. A dose reduction is needed for certain antidiabetic agents in CKD patients.145–147Figure 1 shows the dose adjustment of antidiabetic agents in CKD. Traditionally, insulin was suggested for the treatment of diabetes in patients with more advanced CKD. However, insulin dose should be reduced in patients with CKD regardless of the type of insulin (rapid, intermediate, or long-acting).145 Metformin was excreted by the kidney and the dose should be reduced to avoid possible lactic acidosis. 2020 ADA guidelines suggest that metformin may be safely used in patients with eGFR as low as 30 mL/min/1.73 m2,46 and the U.S. label for metformin has recently been revised to reflect its safety in patients with eGFR ≥30 mL/min/1.73 m2.148 Nateglinide is metabolized by the liver, and a dose reduction is not needed. In contrast, the dose of repaglinide needs to be adjusted when eGFR falls to <30 mL/min/1.73 m2.149 Alpha-glucosidase inhibitors (e.g., acarbose) are metabolized nearly completely within the gastrointestinal tract, and less than 2% of an oral dose is recovered as the active drug or its metabolites in the urine. Given the modest efficacy in glycemic control and the lack of long-term trials in patients with kidney disease, it is suggested to avoid acarbose in CKD stage 4 and 5. Pioglitazone is nearly completely metabolized by the liver, and thus can be used in patients with CKD stage 3–5 without dose adjustment. However, this medication may cause fluid retention and should not be used in patients with HF. There are five available DPP-4 inhibitors. Sitagliptin, saxagliptin, alogliptin, and vildagliptin require dose adjustment in patients with CKD.145–147 Linagliptin is primarily eliminated via the enterohepatic system, and therefore, no dose adjustment is necessary. Thus, linagliptin might be an option in patients with advanced CKD. Other DPP-4 inhibitors may be used in the setting of CKD with proper dose adjustment. For GLP-1 RAs, dose adjustment is required in exenatide and lixisenatide in patients with CKD stage 3, but they cannot be used in CKD stage 4–5. Other GLP-1 RAs, such as liraglutide, semaglutide, oral semaglutide, and dulaglutide can be used in CKD stage 4–5 without dose adjustment, with an exception of semaglutide. Semaglutide cannot be used in ESRD. SGLT-2 inhibitors have been approved for patients with an eGFR of ≥45 mL/min/1.73 m2, although SGLT-2 inhibitors have been used in CKD stage 3 patients in RCTs. There have been post-marketing reports of acute kidney injury (AKI) in patients receiving SGLT-2 inhibitors and some patients required hospitalization and dialysis. It is suggested that before initiating SGLT-2 inhibitors factors that may predispose patients to AKI including hypovolemia, chronic renal insufficiency, and concomitant medications (diuretics, ACE inhibitors, angiotensin receptor blockers (ARBs), nonsteroidal anti-inflammatory drugs [NSAIDs]) should be examined, and renal function needs to be evaluated before initiation and be monitored thereafter.146
6. TREATMENT OF DIABETES IN PATIENTS WITH A HISTORY OF STROKE
A meta-analysis of individual patient data of 980 793 adults from 68 prospective studies showed that diabetes approximately doubled the risk of occlusive vascular death in men and tripled the risk in women.150 Ischemic stroke is one of the major vascular complications of diabetes mellitus.7 Diabetes is a common risk factor of ischemic stroke and hemorrhagic stroke in Taiwan; the prevalence of diabetes was 45.4% in patients with ischemic stroke/transient ischemic accident (TIA) and 37% in patients with hemorrhagic stroke, respectively.151 A meta-analysis including 102 prospective studies revealed that diabetes was associated with an increased risk of ischemic stroke (HR 2.27, 95% CI 1.95−2.65) and hemorrhagic stroke (HR 1.56, 95% CI 1.19−2.05).38 According to the results of a cohort study in China, history of diabetes was found to be associated with an increased risk of stroke (OR 1.57, 95% CI 1.33−2.14).152 In patients with stroke, the presence of diabetes was associated with increased risks of mortality, recurrent stroke, and long-term functional deficit after stroke compared with patients without diabetes.153 Furthermore, in patients with type 2 diabetes, CV event rates were higher in patients with prior stroke compared with those without prior stroke.154 Blood glucose is one of the modifiable risk factors for stroke in patients with diabetes;153 however, whether glycemic control would reduce stroke risk for primary or secondary prevention remains a subject of debate. Herein, the content of this section will focus on ischemic stroke only, owing to limited data for hemorrhagic stroke. Actually, there was only one large-scale RCT to test the CV outcomes of antidiabetic drug specifically in patients with a history of ischemic stroke and insulin resistance.155
6.2. Target of HbA1c
The results from the UKPDS study revealed that intensive glucose control to achieve an averaged HbA1c level of 7.0% did not reduce stroke risk, compared with conventional glucose control to achieve an averaged HbA1c level of 7.9% (HR 1.11, 95% CI 0.81−1.51);11 this was observed in its long-term follow-up study as well (HR 0.91, 95% CI 0.73−1.13).43 Furthermore, three subsequent RCTs with a total of 23 183 patients did not show significant benefit for stroke with intensive glucose control (targeting HbA1c < 6.5% or 6.0%) versus standard therapy in patients with type 2 diabetes.12–14 In a meta-analysis of five RCTs of 33 040 participants, intensive glycemic control with a mean difference of 0.9% in achieved HbA1c levels versus standard treatment did not reduce stroke risk (HR 0.93, 95% CI 0.81−1.06).16 The results were in line with another meta-analysis of 34 533 patients.156 Nevertheless, it should be kept in mind that conventional antidiabetic drugs used in these RCTs led to higher hypoglycemic events in the intensive group,28 and symptomatic hypoglycemia is associated with increased CV events and death.44,157 Optimal HbA1c level for stroke patients might be different if newer antidiabetic drugs were used.28,158 For example, in a retrospective cohort study of 67 544 patients with type 2 diabetes, the U-shaped association of baseline HbA1c level and stroke risk was present in patients receiving insulin or SUs but not in patients receiving other drugs.158
Although diabetes is definitely associated with a higher risk of stroke and has a negative impact on clinical outcome after stroke,6 there is no clear evidence to support intensive glycemic control using traditional antidiabetic agents. Therefore, in this updated consensus, we still recommended HbA1c <7.0% in diabetic patients with a history of stroke.
6.3. Choice of drugs
In the long-term follow-up study of the UKPDS trial, metformin therapy was associated with a lower risk of MI and total death but a nonsignificant reduction in the risk of stroke compared with conventional lifestyle therapy (HR 0.80, 95% CI 0.5−1.27).43 A post-hoc analysis of 12 156 participants in the SAVOR trial, patients receiving metformin (74%) had a lower risk of total mortality but a similar risk of ischemic stroke versus those not receiving metformin (26%).33 A meta-analysis of RCTs including 2079 diabetic participants treated with metformin or placebo revealed that metformin therapy was not associated with a lower risk of stroke (HR 1.04, 95% CI 0.73−1.48).32 In a retrospective observational cohort study of 11 293 Chinese patients with type 2 diabetes, metformin treatment plus lifestyle modification was associated with a lower risk of stroke compared with lifestyle modification only (HR 0.750, 95% CI 0.573−0.982).76 A cohort study of 14 856 diabetic patients from Taiwan NHIRD showed a lower risk of ischemic stroke in patients receiving metformin versus those without (aHR 0.468, 95% CI 0.424−0.518).159 However, in a cohort study from Taiwan NHIRD consisted of 17 760 diabetic patients with a new diagnosis of ESRD undergoing hemodialysis, metformin use was associated with a higher risk of ischemic stroke (aHR 1.64, 95% CI 1.32−2.04) and hemorrhagic stroke (aHR 2.15, 95% CI 1.51−3.07).160 Only one observational study was performed to evaluate the secondary prevention role of metformin on stroke severity and functional outcome in 355 diabetic patients with acute ischemic stroke.161 In this study, 38.6% patients had a history of stroke.161 Patients treated with metformin before stroke had a reduced neurological severity and milder neurological symptoms compared with those without metformin treatment.161 Although there is no strong evidence supporting primary or secondary prevention role of metformin for risk of stroke in diabetic patients, the consensus group still recommended metformin as the first-line therapy for patients with diabetes and a history of stroke given its low price, affordability, and the role as a standard first-line therapy in the majority of RCTs.
In the long-term follow-up study of the UKPDS trial, SU treatment did not reduce the risk of total mortality, MI or stroke (HR for glibenclamide 1.88, 95% CI 0.52−2.08).11 In the ADVANCE trial, 9.2% of 11 140 diabetic patients had a history of stroke.13 This study demonstrated that gliclazide-based intensive sugar control had no beneficial effect on the three-point MACE, death, or nonfatal stroke.13 The subgroup analysis of patients with or without stroke was not reported.13 In the CAROLINA trial, 12.1% of 6042 diabetic patients with elevated CV risk had a history of stroke.55 This study compared linagliptin with glimepiride in patients with type 2 diabetes showing a similar risk of nonfatal stroke between both groups (HR 0.87, 95% CI 0.66–1.15).55 The subgroup analysis of patients with or without stroke was not reported.55 A meta-analysis of 82 RCTs and 26 observational studies showed a higher risk of death or stroke in patients treated with SU than in those with other antidiabetic agents.88 A cohort study of 10 089 diabetic patients (21% with a history of stroke) by analyzing Taiwan NHIRD revealed worse CV outcome in patients treated with SUs than those with DPP-4 inhibitors as an add-on therapy of metformin.89 The risk of ischemic stroke was lower for DPP-4 inhibitors than SUs (HR 0.64, 95% CI 0.51−0.81).89 One recently published cohort study of 94 750 diabetic patients (10.3% with a history of stroke) consistently demonstrated that SU treatment was associated with a higher risk of ischemic stroke than metformin use (HR 1.25, 95% CI 1.002−1.56).162 The subgroup analysis of patients with or without history of stroke showed consistent results.162 In a retrospective cohort study of 174 882 patients with type 2 diabetes, SU treatment was associated with a higher risk of MACEs or acute MI/stroke/CV death than metformin use.163 Taken together, the consensus group gave SU a low priority in patients with diabetes and a history of stroke. However, newer SUs with a preserved protective effect of ischemic preconditioning, such as glimepiride, might have a different CV effect than conventional SUs.
Nateglinide was the only glinide being evaluated for CV outcome. In the NAVIGATOR trial, 9306 participants with IGT and either CVD (only 3% had a history of stroke) or its risk factors were treated with nateglinide or placebo. This trial did not show a better outcome in the risk of nonfatal stroke (HR 0.89, 95% CI 0.69−1.15) with nateglinide treatment.50 Glinides also have hypoglycemic risk.164 Therefore, the consensus group gave a low priority to glinides in diabetic patients with a history of stroke.
6.3.4. Alpha-glucosidase inhibitor
There was no clinical trial evaluating the effect of alpha-glucosidase inhibitor on CV outcome, including risk of stroke, in patients with diabetes. In the STOP-NIDDM trial, 1368 patients with IGT were randomized to acarbose or placebo,51 showing a significant reduction in CV events, but not stroke risk (HR 0.56, 95% CI 0.10−3.07) with acarbose.51 However, the major limitation of this study was small sample size and low event rate.51 In the ACE trial, a total of 6522 Chinese patients with IGT and CHD were randomized to acarbose or placebo.52 Percentage of patients with prior stroke was not reported.52 This study did not show any beneficial effect of acarbose treatment on the risk of MACE (HR 0.98, 95% CI 0.86−1.11) or stroke (HR 0.97, 95% CI 0.70−1.33).52 However, participants assigned to acarbose treatment experienced more gastrointestinal side effect than placebo (7% vs. 5%, p = 0.0007).52 By analyzing a nationwide cohort data from the Taiwan NHIRD in patients with type 2 diabetes (10.1% with a history of stroke), acarbose treatment was associated with an increased risk of CV events and HF but not ischemic stroke (HR 1.05, 95% CI 1.00−1.10) compared with metformin.94 The subgroup analysis of patients with or without stroke was not reported.94 However, another cohort study of diabetic patients in Taiwan (6.4% with a history of stroke) comparing acarbose versus SU on top of metformin treatment showed a reduced risk of MACE (OR 0.69, 95% CI 0.52−0.91) and nonfatal stroke (OR 0.68, 95% CI 0.49−0.94) with acarbose treatment.165 Taken together, the consensus group gave a neutral position for acarbose but did not give a priority due to its gastrointestinal side effects.
In the subgroup analysis of 984 patients with a history of stroke in the PROactive trial, pioglitazone therapy was associated with a 47% relative risk reduction in the recurrent stroke (HR 0.53, 95% CI 0.34−0.85) and a 28% relative risk reduction in three-point MACE (HR 0.72, 95% CI 0.53−1.00) in patients with type 2 diabetes and CVD.154 A small Japanese study, the J-SPIRIT trial, showed a nonsignificant reduction in the risk of recurrent ischemic stroke among 120 patients with IGT or newly diagnosed diabetes and a history of stroke (HR 0.62, 95% CI 0.13−2.35).166 The Insulin Resistance Intervention After Stroke (IRIS) trial was the only large-scale RCT to test the effect of pioglitazone versus placebo on the recurrent stroke in 3876 patients who had IGT and a recent ischemic stroke or TIA.155 This study showed a 24% relative risk reduction in the primary composite endpoint (fatal and nonfatal stroke and MI) (HR 0.76, 95% CI 0.62−0.93), and a marginally significant risk reduction in the recurrent stroke (HR 0.82, 95% CI 0.61−1.10) in favor of pioglitazone treatment.155 In a meta-analysis of these three RCTs with a total of 4980 participants, pioglitazone significantly reduced the risk of recurrence stroke (HR 0.68, 95% CI 0.50−0.92) and three-point MACE (HR 0.75, 95% CI 0.64–0.87, p = 0.0001) in patients with IGT and diabetes, but not total mortality, heart failure, or MI.167 Furthermore, a prespecified secondary analysis of the IRIS trial showed pioglitazone treatment was associated with a significant reduction in the risk of total stroke (HR 0.75, 95% CI 0.60−0.94) and ischemic stroke (HR 0.72, 95% CI 0.57−0.91)168 by using 2013 updated consensus criteria for ischemic stroke.169 In addition, a post-hoc analysis of the IRIS trial showed pioglitazone was effective for secondary prevention of stroke in patients with good adherence (HR 0.64, 95% 0.42−0.99).170 A nested case–control study of diabetic patients with acute ischemic stroke revealed a similar trend toward a reduction in the risk of recurrent stroke.171 Taken together, the consensus group gave a high priority for pioglitazone in diabetic patients with a history of stroke.
The effect of insulin on CV outcome in patients with type 2 diabetes was evaluated in only a few RCTs. In the long-term follow-up study of the UKPDS trial, intensive sugar control with insulin therapy did not show significant beneficial effect on the risk of stroke (HR 0.86, 95% CI 0.57−1.31) or death compared with conventional diet therapy.43 In the ORIGIN trial, 13.3% participants had a history of stroke. Insulin glargine treatment did not show significant reduction in risk of stroke (HR 1.03, 95% CI 0.89−1.21) or death compared with standard care in 12,537 patients with IFG, IGT, or type 2 diabetes.49 In the SHINE study, intensive glucose-lowering with insulin-based treatment versus standard treatment did not show better improvement in neurological function in 1,151 patients admitted with acute ischemic stroke and presented with hyperglycemia.171 Therefore, the consensus group did not give a high priority to insulin as an initial therapy in diabetic patients with a history of stroke.
6.3.7. DPP-4 inhibitors
There were four large-scale RCTs evaluating the CV effects of DPP-4 inhibitors in patients with type 2 diabetes;24,26,53,54 however, none of the them was performed specifically for patients with a history of stroke. Among 16 492 patients in the SAVOR trial, 12.7% of had a history of stroke.53 This study showed no significant effect of saxagliptin on the risk of ischemic stroke (HR 1.11, 95% CI 0.88−1.39), three-point MACE or death compared with placebo.53 The subgroup analysis of patients with or without a history of stroke was not reported. Among 5380 patients in the EXAMINE trial, 7.2% of had a history of stroke.54 This study showed no significant effect of alogliptin on the risk of nonfatal stroke (HR 0.91, 95% CI 0.55−1.50), three-point MACE or death compared with placebo.54 The subgroup analysis of patients with or without a history of stroke was not reported. Among 14 671 patients in the TECOS trial, 24.5% had a history of stroke.24 This study showed no significant effect of sitagliptin on the risk of stroke (HR 0.97, 95% CI 0.79−1.19), four-point MACE or death compared with placebo.24 The subgroup analysis of patients with or without a history of stroke was not reported. Among 6979 patients in the CARMELINA trial, the percentage of patients with prior stroke was not provided.26 Linagliptin did no reduce three-point MACE (HR 1.02, 95% CI 0.89−1.17), nor fatal or nonfatal stroke (HR 0.91, 95% CI 0.67−1.23).26 A small short-term study of 777 diabetic patients previously treated with metformin showed a lower risk of nonfatal stroke (HR 0.27, 95% CI 0.08−0.97) and primary three-point MACE with linagliptin versus glimepiride.172 The subgroup analysis of patients with or without a history of stroke was not reported.172 Although this is the only RCT of DPP-4 inhibitors with positive results, it is difficult to make a definite conclusion owing to its small sample size and event number. Actually, according to a meta-analysis of the three large-scale RCTs including 36 543 participants, treatment with DPP-4 inhibitors was not associated with a reduced risk of stroke compared with placebo (OR 0.996, 95% CI 0.850−1.166).173 There were five cohort studies analyzing the Taiwan NHIRD or national diabetes cohort in Taiwan to evaluate the effects of DPP-4 inhibitors on the risk of stroke in diabetic patients174,175 and specifically with stroke.176–178 However, these studies came out with controversial results. Two studies showed that treatment with DPP-4 inhibitors was associated with a lower risk of ischemic stroke (HR 0.757, 95% CI 0.596−0.961)174 or stroke (HR 0.817, 95% CI 0.687−0.971)175 in patients with type 2 diabetes, whereas three studies did not show any significant effect of DPP-4 inhibitors on the risk of recurrent stroke in diabetic patients with ischemic stroke.176–178 Therefore, the consensus group gave a neutral position to DPP-4 inhibitors in diabetic patients with a history of stroke.
6.3.8. GLP-1 receptor agonists
There were seven large-scale RCTs evaluating the CV effects of GLP-1 RAs in patients with type 2 diabetes;23,56–61 however, no trial was performed specifically for patients with a history of stroke. In the ELIXA trial, only 6.2% out of the total 6068 patients had a history of stroke.23 This study showed no significant effect of lixisenatide on the risk of stroke (HR 1.12, 95% CI 0.79−1.58), three-point MACE or death compared with placebo.23 The subgroup analysis of patients with or without a history of stroke was not reported.23 There were 16.6% out of the total 9340 patients having a history of stroke in the LEADER trial.57 This study showed a lower risk of three-point MACE (HR 0.87, 95% CI 0.78−0.97) or death, and a trend toward a lower risk of stroke (HR 0.86, 95% CI 0.71−1.06) with liraglutide treatment compared with placebo.23 The subgroup analysis of the LEADER trial showed a significant reduction in the risk of three-point MACE (HR 0.85, 95% CI 0.73−0.99) and a trend of reduction in the risk of stroke (HR 0.93, 95% CI 0.70−1.23) in patients with baseline MI or stroke.179 In the SUSTAIN-6 trial, 11.6% out of the total 3297 patients had a history of stroke.58 This trial showed a lower risk of three-point MACE (HR 0.74, 95% CI 0.58−0.95) and nonfatal stroke (HR 0.61, 95% CI 0.38−0.99) with semaglutide compared with placebo.58 The specific data regarding patients with a history of stroke was not reported.58 In the EXSCEL trial, 17.3% out of the total 14 752 patients had a history of stroke.56 This trial showed no significant effect of exenatide on the risk of stroke (HR 0.85, 95% CI 0.70−1.03) or three-point MACE (HR 0.91, 95% CI 0.83−1.00), but a significant reduction in the risk of total death was observed (HR 0.86, 95% CI 0.77−0.97).56 The subgroup analysis of patients with or without a history of stroke was not reported.56 In the HARMONY trial, 18% out of the total 9463 patients had a history of stroke.60 This trial showed a lower risk of three-point MACE (HR 0.78, 95% CI 0.68−0.90) or MI (HR 0.75, 95% CI 0.61−0.90), and a trend toward a lower risk of stroke (HR 0.86, 95% CI 0.66−1.14) with albiglutide compared with placebo.60 The subgroup analysis of patients with or without a history of stroke showed consistent results regarding the risk of three-point MACE (HR 0.80, 95% CI 0.61−1.04 vs. HR 0.77, 95% CI 0.65−0.91, p for interaction 0.835).60 The REWIND trial included 9901 diabetic patients,61 but the percentage of participants with a history of stroke was not reported.61 This study showed a lower risk of three-point MACE (HR 0.88, 95% CI 0.79−0.99) and stroke (HR 0.76, 95% CI 0.62−0.94) with dulaglutide compared with placebo.61 The subgroup analysis of patients with or without a history of stroke was not reported.61 PIONEER 6 trial included 3183 diabetic patients,59 the percentage of participants with a history of stroke was not reported.59 This study showed a lower risk of total death (HR 0.51, 95% CI 0.31−0.84) and a trend of reduction in the risk of MACE (HR 0.79, 95% CI 0.57−1.11) but a similar risk of nonfatal stroke (HR 0.74, 95% CI 0.35−1.57) with oral semaglutide compared with placebo.59 The subgroup analysis of patients with or without a history of stroke was not reported.59 An updated meta-analysis of large-scale RCTs including 56 004 participants showed that treatment with GLP-1 RAs was associated with a lower risk of stroke (HR 0.84, 95% CI 0.76−0.93), MACE (HR 0.88, 95% CI 0.82−0.94), and death (HR 0.88, 95% CI 0.83−0.95).64 A register-based cohort study of 70 206 diabetic patients showed a lower risk of MACE (HR 0.90, 95% CI 0.83−0.98) or death (HR 0.83, 95% CI 0.77−0.90), and a numerically lower risk of stroke (HR 0.88, 95% CI 0.77−1.01) with liraglutide compared with the use of DPP-4 inhibitors.180 A meta-analysis of the ELIXA, LEADER, and SUSTAIN-6 trials showed GLP-1 RAs were associated with a lower risk of MACE and stroke especially in Asian subpopulations.181 Taken together, the consensus group gave a high priority to GLP-1 RAs in patients with diabetes and a history of stroke.
6.3.9. SGLT-2 inhibitors
There were three large-scale RCTs primarily evaluating the CV effects of SGLT-2 inhibitors in patients with type 2 diabetes; however, no trial was performed specifically for patients with a history of stroke. In the EMPA-REG trial, 23.7% out of a total 7020 patients had a history of stroke.34 This study showed a lower risk of three-point MACE (HR 0.86, 95% CI 0.74−0.99) and death but no significant effect on the risk of stroke (HR 1.18, 95% CI 0.89−1.56) with empagliflozin compared with placebo.34 The subgroup analysis of patients with or without a history of stroke consistently showed no beneficial effect on the risk of stroke.182 In the CANVAS program, 19.3% out of a total 10 142 patients had a history of stroke.35 This study showed a lower risk of three-point MACE (HR 0.86, 95% CI 0.75−0.97) and a trend toward a lower risk of stroke (HR 0.87, 95% CI 0.69−1.09) with canagliflozin compared with placebo.35 A subgroup analysis of 1958 patients with a history of stroke showed that canagliflozin treatment was not associated with a lower risk of recurrent stroke (HR 0.87, 95% CI 0.69−1.09) but the risk of hemorrhagic stroke (HR 0.68, 95% CI 0.55−0.84) was reduced with canagliflozin compared with placebo.183 The observed effect for hemorrhagic stroke was presumably due to small event numbers.183 In the DECLARE trial, 7.6% out of the total 17 160 patients had a history of stroke.36 This trial showed a trend of reduction in the risk of three-point MACE (HR 0.93, 95% CI 0.84−1.03) but a similar risk of ischemic stroke (HR 1.01, 95% CI 0.84−1.21) with dapagliflozin compared with placebo.36 The subgroup analysis of patients with or without a history of stroke was not reported.36 Four meta-analyses showed consistent results that the use of SGLT-2 inhibitors was associated with a lower risk of MACE but a similar risk of stroke.184–187 However, three multinational observational analyses showed a beneficial effect of SGLT-2 inhibitors on the risks of stroke compared with other antidiabetic agents.188–190 The CVD-REAL Nordic study comprised 91 320 patients with diabetes in North Europe, among whom 94% of the total SGLT-2 inhibitor exposure time was for the use of dapagliflozin.188 In this study, 6.6% of patients had a history of stroke. The use of SGLT-2 inhibitors was associated with a lower risk of the three-point MACE (HR 0.78, 95% CI 0.69−0.87).188 Although there was no significant difference in the risk of nonfatal stroke (HR 0.86, 95% CI 0.72−1.04) between both groups,188 the use of SGLT-2 inhibitors was associated with a lower risk of total stroke (HR 0.83, 95% CI 0.71−0.97) compared with other antidiabetic agents.188 There was no subgroup analysis of the patients with or without a history of stroke. The CVD-REAL study enrolled 205 160 patients from United Ststes, Sweden, Norway, and Denmark.189 Initiation of SGLT-2 inhibitors versus other antidiabetic agents was associated with a modestly lower risk of MI and stroke (MI: HR 0.85, 95% CI 0.72–1.00, p = 0.05; Stroke: HR 0.83, 95% CI 0.71–0.97, p = 0.02).189 The CVD-REAL 2 study comprised 470 128 patients with diabetes in the Asia Pacific, the Middle East, and North American regions.190 Among them, 75% of the total SGLT-2 inhibitor exposure time was for the use of dapagliflozin and 9% for the use of empagliflozin.190 In this study, 8.7% of patients had a history of stroke.190 The use of SGLT-2 inhibitors was associated with a lower risk of the three-point MACE (HR 0.78, 95% CI 0.69−0.87), stroke (HR 0.68, 95% CI 0.55−0.84), and death.190 There was no subgroup analysis of the patients with or without a history of stroke.190 Although a favorable effect on stroke with SGLT-2 inhibitor treatment was not observed in all large-scale RCTs, a moderate priority to SGLT-2 inhibitors was given in diabetic patients with a history of stroke by the consensus group, owing to its significant effects on MACE, death, and hospitalization for HF.
6.4. Treatment algorithm in diabetic patients with a history of stroke
Table 6 shows the algorithm for the treatment of diabetes in patients with a history of stroke. The target HbA1c is <7%. Metformin or pioglitazone should be the first-line therapy in diabetic patients with a history of stroke. The recommendation for metformin is mainly based on the findings from the UKPDS trial43 and several observational studies in Taiwan159 and Asia.76 The recommendation for pioglitazone is based on the results of the IRIS study,155 which is the only mega trial specifically focus on the secondary prevention of stroke, the PROactive trial,154 and an important meta-analysis.167 For dual therapy, we recommend metformin plus pioglitazone. For triple therapy, we recommend the dual therapy (metformin + pioglitazone) plus a GLP-1 RA, followed by an SGLT-2 inhibitor. The SUSTAIN-6 trial,58 the LEADER trial,57 the HARMONY trial,60 the REWIND trial,61 and a meta-analysis give a strong support for the use of GLP-1 receptor agonists.64 The observation from the CVD-REAL Nordic,188 the CVD-REAL study,189 and the CVD-REAL 2190 studies gave some support to use SGLT-2 inhibitors. If a fourth drug is to be added, DPP-4 inhibitors are recommended owing to their neutral effects and favorable safety. Because there is no positive RCT with SU treatment and many observational studies reveal worse outcomes compared with other antidiabetic agents, this drug has a low priority for antiglycemic treatment in this clinical setting. Besides, this drug has a well-known risk of hypoglycemia. Glinides and acarbose also have a low priority owing to lack of strong evidence.
7. TREATMENT OF DIABETES IN PATIENTS WITH HEART FAILURE
7.1.1. Diabetes is a risk factor for developing HF
A variety of pathophysiological mechanisms contribute to the development of HF in type 2 diabetes. The hyperglycemia results in advanced glycation endproducts, oxidative stress, inflammation, and apoptosis.191–193 These pathophysiological derangements, combined with microvascular coronary artery disease, are responsible for the development of diabetic cardiomyopathy.194 Diabetic cardiomyopathy was independent of CHD and arterial HT. The combination of multiple MI and diabetic cardiomyopathy cause HF.194
In the Framingham study, diabetic patients had a 2.4- to 5-fold risk of HF.195 In the Kaiser Permanente Northwest Program, patients with diabetes had a 2.5-fold risk of HF.196 Poor glycemic control is associated with an increased risk of HF among diabetic patients;197 each 1% increase in HbAIc was associated with an 8% increase in the risk of HF (95% CI 5–12%). An HbAIc ≥10%, relative to an HbAIc <7%, was associated with 1.56-fold (95% CI 1.26–1.93) greater risk of HF.197 In a recent cohort study from United Kingdom, HF is the second most common manifestation of CVD in patients with type 2 diabetes, ranked after peripheral arterial occlusive disease.198 In the VALUE trial, the cumulative risk of HF was higher than that of MI in patients with diabetes.199 The prevalence of HF in the elderly diabetic patients was approximately 20%.200 In recent RCTs of antidiabetic agents, the prevalence of prior HF was approximately 5%–30% (Table 1).
7.1.2. HF patients have a higher risk of developing diabetes
HF is an established risk factor for development diabetes.201,202 In HF registries from the white people, the prevalence of diabetes in HF patients is approximately 20%.203 The prevalence rate in Asia is higher. In the recent ASIAN-HF registry enrolling 5276 patients with HFrEF from 11 Asian countries, approximately 40% had diabetes.204 In hospitalized patients with HF, the prevalence was higher. In the OPTIMIZE-HF registry, 42% of hospitalized HF patients had diabetes.205 In the EVEREST trial, 40% of hospitalized patients with HFrEF had diabetes.206 In the Get With The Guidelines-Heart Failure registry, 40% of patients with HFrEF and 45% of patients with preserved ejection fraction (HFpEF) had diabetes.207 In the recent TSOC-HFrEF registry in Taiwan, 43.6% among 1509 patients with HFrEF had diabetes.208
7.1.3. Higher CV risk in patients with diabetes and concomitant HF
HF has been called “the frequent, forgotten, and often fatal” complication of diabetes.209 Diabetic patients with preexisting HF had a higher CV risk compared with those without HF. In diabetic patients in the REACH registry, baseline HF increased CV death by 2.45-folds, and hospitalization for HF by 4.72-folds.210 In clinical trials, such as the SAVOR trial53 and the EMPA-REG trial,34 patients with prior HF had an approximately 4-fold increase in the future HF admission,211,212 an approximately 3-fold increase in the future HF admission plus CV death, and an approximately 2-fold increase in CV death and all-cause death.212 The median survival for a diabetic patient with concomitant HF is only 4 years.213 Incident HF resulting in emergent admission is probably the most deadly condition for diabetic patients, resulting in a 10-fold risk of all-cause death in the follow-up.200,213
Among patients with HFrEF, those with diabetes had a higher risk of HF hospitalization and CV mortality (adjusted HR 1.64, p < 0.001) compared with those without a history of diabetes in the substudy of the PARADIGM trial.27,214
The data for HF with preserved ejection fraction (HFpEF) are scarce at the moment. Therefore, the consensus focused on HFrEF.
7.2. Target of HbA1c
It is uncertain whether intensive strategy will be beneficial in patients with diabetes and HF, though poor glycemic control is associated with an increased risk of HF among diabetic patients.197 There has been no study to determine the optimal HbA1c target in patients with HF. Several retrospective studies show a possible U-shape phenomenon in the relationship of HbA1c and mortality. In a retrospective study in a national cohort of 5815 veterans with HF and diabetes treated at Veterans Affairs medical centers from the United States, the association between mortality and HbA1c in diabetic patients with HF appears U-shaped, with the lowest risk of death in those patients with modest glucose control (7.1% < HbA1c ≤ 7.8%).215 In a prospective cohort of 845 HF patients from the United States, the risk of death or urgent heart transplantation was increased in patients with HbA1c ≤ 7.2% compared with those with HbA1c ≥ 7.3%.216 In a population cohort from United Kingdom, patients with diabetes and HF had a U-shaped relationship between HbA1c and mortality, with the lowest risk in patients with modest glycemic control (HbA1c 7.1%–8.0%).217
The DAPA-HF trial is the first RCT to test antidiabetic drug in HFrEF in patients with or without diabetes.27 There were 2139 (45%) patients with prior type 2 diabetes. The HBA1c was decreased from 7.4% to 7.2% by dapagliflozin.218 The consensus group reached a conclusion that the target HbA1c for patients with diabetes and HFrEF is <7.5%.
7.3. Choice of drugs
There are five large-scale RCTs dedicated to study the effect of antidiabetic on long-term HF outcomes in patients with HF. All of them were SGLT-2 inhibitor trials. Three of them were performed in patients with HFrEF: (EMPEROR-REDUCED [NCT03057977], DAPA-HF [NCT03036124],27 and SOLOIST-WHF [NCT03521934]). Two of them were performed in patients with HF with preserved EF (HFpEF)(EMPEROR-PRESERVED [NCT03057951], and DELIVER [NCT03619213]). SOLOIST-WHF enrolled only diabetic patients, while other four trials enrolled both diabetic and nondiabetic patients. DAPA-HF is the first completed one.27 The other four trials will be finished before the end of 2021.
In the UKPDS trial, patients with prior HF were excluded.29 Metformin group had numerically lower risk of HF compared with conventional therapy, but the number was very small, not reaching statistically significance.29 In a pooled analysis of nine cohort studies, the use of metformin in HF patients was associated with a 20% reduction in total mortality (p < 0.00001) and a 7% reduction in HF admission (p = 0.01).219 In a more recent systemic review of 17 observation studies, metformin use was associated with a 22% reduction in all-cause mortality (p = 0.003) and a 13% reduction in HF admission (p = 0.009).220 As mentioned previously, in a recent subanalysis from the SAVOR trial, metformin reduced all-cause death by about 25%.33 However, in patients with prior HF or moderate-to-severe CKD, metformin could not reduce all-cause death.33 This is a strong evidence to suggest that in patients with prior HF metformin should be moved to second-line therapy, given that we have strong evidence for SGLT-2 inhibitors. Metformin can be used in patients with stable HF, but should be discontinued in patients with acute congestive HF, CV collapse (shock), acute MI, sepsis, and other conditions associated with hypoxemia. The consensus group gave a moderate priority to metformin in patients with diabetes and stable HF.
In the UKPDS trial, the combination of SU and insulin did not decrease the risk of HF compared with conventional dietary-based therapy (HR 0.91, 95% CI 0.54–1.52).11 In the ADVANCE trial, gliclazide had a neutral effect on the HF admission, compared with other antidiabetic agents (HR 1.05, 95% CI 0.86–1.21).13 In the CAROLINA trial, the HR of hospitalization for HF of linagliptin versus glimepiride was 1.21 (95% CI 0.92–1.59).55 Given that linagliptin had neutral effect on HF in the CARMELINA trial,26 the consensus group gave a neutral position to SUs in patients with diabetes and HF. But the hypoglycemic risk of SUs renders them a lower priority than DPP-4 inhibitors.55
In the DYsfunction in DiAbetes study, 960 patients with type 2 diabetes but without overt heart disease were followed up for 2 years to examine the LV dysfunction and CV outcomes.221 The use of repaglinide was associated with a 2-fold risk of all-cause death or hospitalization (OR 2.00, 95% CI 1.17–3.44, p = 0.01).221 In a retrospective cohort study using the Taiwan NHIRD, the use of glinides was associated with a higher risk of hospitalization for HF compared with acarbose (aHR 1.53, 95% CI 1.24–1.88).222 In the NAVIGATOR trial, 9306 patients with IGT and CVD or its risk factors were included, but patients with HF of NYHA III and IV were excluded.50 There was no significant difference in the risk of hospitalization for HF between the nateglinide group versus the placebo group (HR 0.85, 95% CI 0.64–1.14).50 The consensus group gave a neutral position to glinides in patients with diabetes and HF, but the priority was lower than DPP-4 inhibitors because of the higher hypoglycemic risk from glinides.
7.3.4. Alpha-glucosidase inhibitor
In the STOP-NIDDM trial, the effect of acarbose on CVD, including HF, was tested in 1368 patients with IGT.51 The number of HF event was too small to draw any conclusion (n = 0 for acarbose vs. n = 2 for placebo).51 In the more robust ACE trial, a total of 6522 Chinese patients with CHD and IFT were randomized to acarbose and placebo.52 There was no significant difference in the HF admission in the acarbose group (2.0%) versus the placebo group (2.2%) (HR 0.89, 95% CI 0.63–1.24).52 The consensus group gave acarbose a neutral position and did not give a priority due to its gastrointestinal side effects.
TZDs increase the risk of fluid overload by activating an epithelial sodium channel in collecting tubules and enhance sodium retention,223 but they have no direct effect on LV function.224 TZDs increase risk of HF and have been repetitively shown in multiple RCTs. In the PROactive trial, use of pioglitazone increased 50% of HF compared with placebo (p = 0.007).15 In the DREAM trial, rosiglitazone significantly increased HF risk compared with placebo (HR 7.03, 95% CI 1.60–30.9).225 In the RECORD trial, rosiglitazone increased the risk of HF by about 2-fold (HR 2.1, 95% CI 1.35–3.27), compared with metformin/SU.226 Despite that there was no signal of increasing HF in the IRIS trial, which enrolled patients with insulin resistance and excluded patients with HF,155 most of the meta-analyses have consistently shown an increased risk of HF by the use of TZDs with a HR ranged from 1.41 to 2.09.96,227,228 Therefore, TZDs are contraindicated in patients with symptomatic HF and should be discontinued when HF occurs.
Insulin has an antinatriuretic property and may increase sodium and fluid retention in diabetic patients,229 though the risk of HF was not increased in many RCTs. In the UKPDS trial, the HF risk was the same in insulin users versus SU users.11 In the BARI-2D trial, insulin did not increase HF risk compared with other antidiabetic medications.230 In the ORIGIN trial, the basal insulin glargine resulted in a nonsignificant reduction in HF admission (HR 0.90, 95% CI 0.77–1.05).49
In patients with diabetes and HF, there are evidences suggesting a harmful effect of insulin. In the CHARM program, insulin-treated diabetes was found to be the strongest independent predictor for CV death plus hospitalization for HF, and the HR (2.03, 95% CI 1.80–2.29) was higher than those who had not been treated with insulin (HR 1.58 95% CI 1.43–1.74).231 The total mortality showed a similar trend (HR 1.80, 95% CI 1.56–2.08 vs. 1.50, 95% CI 1.34–1.68).231 In a systemic review of controlled studies evaluating antidiabetic agents and outcomes in patients with HF, three of four studies disclosed insulin increased risk of all-cause mortality (OR 1.25, 95% CI 1.03–1.51).232 The consensus group gave insulin a low priority in patients with diabetes and HF. The use of insulin should be reserved for patients whose blood glucose cannot be controlled by other safer drugs, or in conditions when oral antidiabetic drugs cannot be used.
7.3.7. DPP-4 inhibitors
In the SAVOR trial, the use of saxagliptin increased hospitalization for HF (HR 1.27, 95% CI 1.07–1.51, p = 0.007).53 The risk of hospitalization for HF was significantly increased in patients with or without a history of HF (HR 1.21, p = 0.15, absolute risk 1.5%, number needed to harm (NNH) 67; HR 1.32, p = 0.02; absolute risk 0.6%, NNH 167, respectively; p for interaction 0.67).211 The increase in HF admission was predominantly in the first 2 years of treatment (HR 1.80, 95% CI 1.29–2.55, p = 0.001 at 180 days; HR 1.46, 95% CI 1.15–1.88, p = 0.002 at 360 days; HR 1.27, 95% CI 1.07–1.51, p = 0.007 at 720 days).211 The risk factors for HF admission included the followings: prior HF, elevated baseline N-terminal pro-B-type natriuretic peptide (NT-proBNP), and CKD.211 The mechanism of increased HF admission with the use of saxagliptin was not completely understood, but an increase in stromal cell-derived factor-1 after the use of DPP-4 inhibitor may be a possible mechanism.233 In the EXAMINE trial, alogliptin was associated with a numerically higher risk of hospitalization for HF (HR 1.07, 95% CI 0.79–1.46).234 The difference became significant in patients without a history of HF (HR 1.76, 95% CI 1.07–2.90).234 There was no CV outcome trial for vildagliptin. In the VIVVID study, patients with type 2 diabetes and HF (NYHA I-III and LVEF <0.40) were randomized to 52-week treatment with vildagliptin or placebo.235 There was no change in the primary endpoint, defined as between-treatment change in LVEF from baseline.235 However, the LV end-systolic volume and end-diastolic volume were increased compared with placebo (+9.44 mL, 95% CI −0.49 to 19.38, p = 0.062; +17.06 ml, 95% CI 4.62–29.51, p = 0.007; respectively). The CV death and total death were numerically higher in those receiving vildagliptin compared with placebo (5.5% vs. 3.2%; 8.6% vs. 3.2%, respectively, all p > 0.05). Overall, saxagliptin, alogliptin, and vildagliptin should not be used in patients with diabetes and HF.
The remaining 2 DPP-4 inhibitors, sitagliptin and linagliptin, are presumably safe in diabetic patients with HF. In the TECOS trial, sitagliptin did not increase HF admission in the overall population (HR 1.00, 95% CI 0.83–1.20),24 or in patients with a history of HF (HR 1.05, 95% CI 0.79–1.39).236 Post-HF death (29.8% vs. 28.8%) and CV death (22.4% vs. 23.1%) was similar in the sitagliptin and placebo groups.236 We suggest that sitagliptin can be safely used in patients with diabetes and HF. In the CARMELINA trial, linagliptin did not increase risk hospitalization for HF (HR 0.90, 95% CI 0.74–1.08, p = 0.26),26 the composite of CV death/hospitalization for HF (HR 0.94, 95% CI 0.82–1.08), nor risk for recurrent hospitalization for HF events (HR 0.94, 95% CI 0.75–1.20).237 Among the subset of participants with or without a history of HF at baseline, there were no significant differences observed between the treatment groups in HHF (HR 0.88, 95% CI 0.68–1.14, p = 0.33; HR 0.92; 95% CI 0.70–1.22, p = 0.56; respectively).237
Overall, the consensus group gave a neutral position to 2 DPP-4 inhibitors, sitagliptin and linagliptin, in patients with diabetes and HF, but did not recommend saxagliptin, alogliptin, and vildagliptin in patients with HF.
7.3.8. GLP-1 receptor agonists
The effects of seven GLP-1 RAs on CV events, including HF, have been tested in seven RCTs.23,56–61 In addition to MACE events, hospitalization for HF was also prospectively adjudicated. In general, the effects of GLP-1 RAs were neutral in terms of hospitalization for HF (Table 2).
An important RCT with GLP-1 RA in patients with HF is the FIGHT trial.238 The FIGHT trial is a phase 2, double-blind, placebo-controlled RCT testing the effect of daily injection of liraglutide in recently hospitalized patients with HFrEF, including 59% with type 2 diabetes.238 The primary endpoint was a global rank score in which all patients, regardless of treatment assignment, were ranked across three hierarchical tiers: time to death, time to re-hospitalization for HF, and time-averaged proportional change in NT-proBNP level from baseline to 180 days. Compared with placebo, liraglutide had no significant effect on the primary endpoint (mean rank of 146 for the liraglutide group vs. 156 for the placebo group, p = 0.31). There were no significant between-group differences in the number of deaths (19 [12%] in the liraglutide group vs. 16 [11%] in the placebo group; HR 1.10, 95% CI 0.57–2.14, p = 0.78) or re-hospitalizations for HF (63 [41%] vs. 50 [34%], respectively; HR 1.30, 95% CI 0.89–1.88, p = 0.17). Prespecified subgroup analyses in patients with diabetes did not reveal any significant between-group difference.238 Therefore, GLP-1 RAs have a neutral effect on HF and can be used safely in patients with diabetes and HF. The consensus group gave a neutral position to GLP-1 RAs in patients with diabetes and HF.
7.3.9. SGLT-2 inhibitors
There are several RCTs testing the effects of SGLT-2 inhibitors on CV outcomes, and four of them have been published (EMPA-REG, CANVAS, DECLARE, and CREDENCE).25,34–36 hospitalization for HF was one of the secondary endpoints. The percentages of prior HF were 10.5%, 14.4%, 10.2%, and 14.8%, respectively.(Table 1) All these trials demonstrated a remarkably effect in reducing hospitalization for HF (−35%, −33%, −27%, and −39%, respectively). These data suggested a positive role of SGLT-2 inhibitors in reducing HF in diabetic patients. As mentioned before, there are five large-scale RCTs dedicated to study the effect of antidiabetic on long-term HF outcomes in patients with HF. The DAPA-HF trial has been completed and published.27 Actually it was prematurely stopped at 18 months due to an early demonstration of its efficacy.
The DAPA-HF trial randomized 4744 symptomatic patients with HFrEF into dapagliflozin 10 mg or placebo.27 Patients with LVEF >40%, or eGFR < 30 mL/min/1.73 m2 or SBP < 95 mmHg, or type 1 diabetes were excluded. There were 20 countries participated in this trial and Taiwan randomized 141 patients. The primary outcome was a composite of worsening HF (WHF, hospitalization or an urgent visit resulting in intravenous therapy for HF) or CV death. Over a median of 18.2 months, the primary outcome occurred in 386 of 2373 patients (16.3%) in the dapagliflozin group and in 502 of 2371 patients (21.2%) in the placebo group (HR 0.74, 95% CI 0.65–0.85, p < 0.001). A first WHF event occurred in 237 patients (10.0%) in the dapagliflozin group and in 326 patients (13.7%) in the placebo group (HR 0.70, 95% CI 0.59–0.83). Death from CV causes occurred in 227 patients (9.6%) in the dapagliflozin group and in 273 patients (11.5%) in the placebo group (HR 0.82, 95% CI 0.69–0.98); 276 patients (11.6%) and 329 patients (13.9%), respectively, died from any cause (HR 0.83, 95% CI, 0.71–0.97). The frequency of AEs related to volume depletion, renal dysfunction, and hypoglycemia did not differ between treatment groups.27
Two most important subgroup analyses in the DAPA-HF trial showed dapagliflozin reduced WHF/CV death in both diabetic and nondiabetic patients (HR 0.75, 95% CI 0.63–0.90, and HR 0.73, 95% CI 0.60–0.88, respectively, p for interaction 0.80),218 and in both angiotensin receptor–neprilysin inhibitor (ARNI) users and ARNI nonusers (HR 0.75, 95% CI 0.50–1.13, and HR 0.74, 95% CI 0.65–0.86, respectively, p for interaction = nonsignificant).27 The effect of dapagliflozin on the primary outcome was generally consistent across other prespecified subgroups, including elderly patients.239 Furthermore, dapagliflozin reduced composite renal endpoints (HR 0.71, 95% CI 0.44–1.16, p = 0.17).27 Symptoms and life quality were both significantly improved by dapagliflozin.27 The increase in the total symptom score on the Kansas City Cardiomyopathy Questionnaire (KCCQ) (indicating fewer symptoms) was greater in the dapagliflozin group than in the placebo group from baseline to month 8 (+6.1 vs +3.3, p < 0.001).240 AEs rarely led to a discontinuation of the drug. There was no notable excess of any serious AE in the dapagliflozin group.27
Other meta-analyses and real-world evidence (RWE) were also in favor of a class effect of SGLT-2 inhibitors in reducing HF admission in patients with diabetes. In a systematic review and meta-analysis of 6 regulatory submissions (37 525 participants) and 57 published trials (33 385 participants), the data from seven different SGLT-2 inhibitors were analyzed.241 SGLT-2 inhibitors protected against the risk of MACE (RR 0.84, 95% CI 0.75–0.95, p = 0.006), CV death (RR 0.63, 95% CI 0.51–0.77, p < 0.0001), HF (RR 0.65, 95% CI 0.50–0.85, p = 0.002), and all-cause mortality (RR 0.71, 95% CI 0.61–0.83, p < 0.0001). There was no clear evidence that the individual drugs had different effects on CV outcomes or death.241 Other RWE including the CVD-REAL study,242 the CVD-REAL NORDIC study,188 and the CVD-REAL 2 study,190 demonstrated similar results.
No one could have expected SGLT-2 inhibitors would decrease HF admission and mortality.243 The mechanisms are becoming clearer.139 Patients with diabetes are overloaded with sodium, mainly because of increased sodium retention in the kidney as a consequence of hyperglycemia and hyperinsulinemia.244 Increased intracellular sodium in the myocardium may increase the risk of arrhythmias and impair myocardial function.244 SGLT-2 inhibitors inhibit sodium glucose transporter in the proximal tubule in the kidney,245 resulting in glucosuria and body weight loss about 3–4 Kg.246 SGLT-2 inhibitors also cause osmotic diuresis and natriuresis.247,248 This will result in a decrease in blood pressure,139,249,250 and tissue sodium251,252 and tissue water.253,254 It has been shown that SGLT-2 inhibitors decreased LV mass and improved LV diastolic function in diabetic patients.255 Another important effect of SGLT-2 inhibitors is inhibition on the Na+/H+ exchanger.256,257 SGLT-2 inhibitors directly inhibited Na+/H+ exchanger 1 in the myocardium, and reduced cytoplasmic NA+ and Ca++,253,258 resulting in a reduction in intracellular calcium overload and cardiac protection.259 Moreover, SGLT-2 inhibitors decreased aortic stiffness260 and augmentation index.260 SGLT-2 inhibitors increased lipolysis and enhanced bioavailability of free fatty acids and ketone bodies and improved cellular energy use.261,262
SGLT-2 inhibitor is a unique class of antidiabetic agent for diabetic patients with HF. In the DAPA-HF trial, dapagliflozin showed a robust effect in decreasing hospitalization for HF admission/CV death and all-cause death. It has been recommended in many international guidelines.46,263 Therefore, the consensus group recommended SGLT-2 inhibitors as the first-line therapy in patients with diabetes and HFrEF.
7.4. Treatment algorithm in diabetic patients with HF
Table 7 shows the algorithm for the treatment of diabetes in patients with HF. The target of HbA1c is < 7.5%. SGLT-2 inhibitor is the first-line therapy, based on the DAPA-HF trial,27 complemented by data from four RCTs (EMPA-REG, CANVAS, DECLARE, and CREDENCE).25,34–36 For dual therapy, SGLT-2 inhibitor can be combined with metformin, based on two recent meta-analyses.219,220 Metformin should not be used or should be discontinued in patients with clinical conditions associated with hypoxemia, such as acute HF, shock, or sepsis, to avoid lactic acidosis. If a third drug is to be added, we recommended GLP-1 RAs, based on their neutral effect in all trials of GLP-1 RA.23,56–61 The ranking of DPP-4 inhibitors is lower than GLP-1 RAs. Sitagliptin and linagliptin can be safely used, based on the finding from the TECOS trial and the CARMELINA trial.24,26 Saxagliptin, alogliptin, and vildagliptin should be avoided, based on the findings from the SAVOR trial,53 the EXAMINE trial,54 and the VIVVID study.235 SU, acarbose, and glinides are ranked lower than DPP-4 inhibitors.
8. ADVERSE EVENTS of antidiabetic agents
Important AEs of common antidiabetic agents were shown in Fig. 2. Hypoglycemia and some emerging AEs of newer antidiabetic agents were noted here.
Hypoglycemia is common in daily practice. In a cross-sectional survey in five Asian countries, symptomatic hypoglycemia was reported in 35.8% of overall patients and in 29.4% of Taiwanese patients, who were treated with oral antidiabetic agents.264 There is an increasing trend in emergency department visits for hypoglycemia in patients with type 2 diabetes in Taiwan from 2000 to 2010 (adjusted incidence rate ratio 4.88, 95% CI 3.94–6.05, p < 0.001).265 From the data of the Taiwan NHIRD between 1998 and 2009, patients with symptomatic hypoglycemia were associated with higher risks for CVD (HR 2.09, 95% CI 1.63–2.67, p < 0.0001), all-cause hospitalization (HR 2.51, 95% CI 2.00–3.16, p < 0.0001), and total mortality (HR 2.48, 95% CI 1.41–4.38, p < 0.0001).157 The risk level was correlated with the severity of hypoglycemia, shown in a recent meta-analysis.266 The HRs of adverse vascular events and mortality were 1.68 (95% CI 1.25–2.26, p < 0.001) for mild hypoglycemia and 2.33 (95% CI 2.07-2.61, p < 0.001, p for trend 0.02) for sever hypoglycemia.266 Therefore, minimizing risk of both severe and nonsevere hypoglycemia is a priority in the management of diabetes.267
Among antidiabetic agents, SUs,89 glinides,268 and insulin increase the risk of hypoglycemia (Fig. 2).269 Metformin, alpha-glucosidase inhibitor,270 TZD, and other newer antidiabetic agents, such as DPP-4 inhibitors,89,175,271,272 GLP-1 RAs,273 and SGLT-2 inhibitors, have lower risk of hypoglycemia. Although a modest benefit of intensive glucose control on CV events is likely to be present, it should be noted that overly aggressive glycemic control, especially in older patients with more advanced disease, may not have significant benefits but instead may produce some risks. Therefore, clinicians should balance the risk of hypoglycemia versus CV benefit.
8.2. Genital tract infection
The risk of genital tract infection (GTI) is increased by SGLT-2 inhibitors. In the EMPA-REG trial, the annual incidence of GTI was significantly higher in the empagliflozin group than in the placebo group in both men and women (5.0% vs. 1.5%, p<0.001 for men; 10.0% vs. 2.6%, p<0.001 for women).34 In the CANVAS program, the annual incidence of GTI was also higher in the canagliflozin group than in the placebo group (3.49% vs. 1.08%, p < 0.001 for men; 6.88% vs. 1.75%, p < 0.001 for women).35 In the DECLARE trial, GTI was significantly higher in the dapagliflozin group than in the placebo group (0.9% vs. 0.1%, HR 8.36, 95% CI 4.19–16.68, p < 0.001),36 although GTI reported as SAE were rare (two events in each of the male and the female group). In the CREDENCE trial, the annual incidence of GTI was also higher in the canagliflozin group than in the placebo group (8.4% vs. 0.9%, HR 9.30, 95 % CI 2.83–30.60, p < 0.001 for men; 12.6% vs. 6.1%, HR 2.10, 95% CI 1.00–4.45, p < 0.001 for women).25 Therefore, personal hygiene should be emphasized in patients receiving SGLT-2 inhibitors. One should be reminded that SGLT-2 inhibitors did not increase the risk of urinary tract infection.274
8.3. Fournier gangrene
Fournier gangrene was known as a necrotizing fasciitis of the perineum, characterized by a rapidly progressive necrotizing infection of the external genitalia, perineum, and perianal region requiring broad-spectrum antibiotics and immediate surgical intervention.275 In a review of spontaneous postmarketing cases from the U.S. FDA Adverse Event Reporting System (FAERS) and published case reports, 55 unique cases of Fournier gangrene were identified in patients receiving SGLT-2 inhibitors between 1 March 2013 and 31 January 2019. For comparison, the U.S. FDA identified 19 Fournier gangrene cases associated with other antidiabetic agents between 1984 and 31 January 2019: metformin (n = 8), insulin glargine (n = 6), short-acting insulin (n = 2), sitagliptin plus metformin (n = 2), and dulaglutide (n = 1).276 However, more recent studies based on RWE did not find an association of SGLT-2 inhibitors and Fournier gangrene.277,278
In the EMPA-REG,34 CANVAS,35 and the CREDENCE trials,25 Fournier gangrene was not prospectively evaluated. The DECLARE trial is the only trial in which Fournier gangrene was prospectively collected and adjudicated,36 and six cases of Fournier gangrene were reported, one in the dapagliflozin group, and five in the placebo group. Though the association of SGLT-2 inhibitors and Fournier gangrene is not clear, physicians prescribing these agents should be aware of this possible complication and have a high index of suspicion to recognize it in its early stages.276
8.4. Acute kidney injury
Based on data from the FAERS the U.S. FDA issued a warning of AKI for canagliflozin and dapagliflozin (https://www.fda.gov/Drugs/DrugSafety/ucm505860.htm) in 2016. From March 29, 2013 to October 19, 2015, 101 cases of AKI were reported in 73 and 28 patients treated with canagliflozin and dapagliflozin, respectively. Among those 101 cases, 51 concomitantly used ACE inhibitors, 26 used diuretic, and 6 used NSAIDs. Real-world data showed inconsistent findings. SGLT-2 inhibitors were associated with an increased risk of AKI from international pharmacovigilance database.279 However, in another study using longitudinal data from Mount Sinai CKD registry and Geisinger Health System cohort, the risk of AKI was reduced in users of SGLT-2 inhibitors.280
In the EMPA-REG trial, the annual risk of AKI in pooled empagliflozin group was lower than that in the placebo group (1.0% vs. 1.6%, p < 0.05).34 In the CANVAS trial, the annual risk of AKI was similar in the canagliflozin group versus the placebo group (0.3% vs. 0.41%, p = 0.33).35 In the DECLARE trial, AKI was prospectively adjudicated and the risk was significantly lower in the dapagliflozin group versus placebo group (HR 0.69, 95% CI 0.55–0.87, p = 0.002).36 In the CREDENCE trial, the risk of AKI was numerically lower in the canagliflozin group versus placebo group (HR 0.85, 95% CI 0.64–1.13).25 We recommended examining several factors that may predispose patients to AKI. These factors include hypovolemia, CKD, HF, and concomitant medications such as diuretics, ACE inhibitors, ARBs, and NSAIDs. Renal function should be evaluated before the initiation of SGLT-2 inhibitors and monitored periodically thereafter. Temporary discontinuation of SGLT-2 inhibitors should be considered in any setting of reduced oral intake such as acute illness or fasting, or with fluid losses such as gastrointestinal illness or excessive heat exposure.
8.5. Diabetic ketoacidosis
The U.S. FDA added warnings of diabetic ketoacidosis to the labels of SGLT-2 inhibitors in May 2015, based on data of FAERS from March 2013 to May 2015 that 73 cases of diabetic ketoacidosis (DKA) in patients with type 1 and type 2 diabetes treated with SGLT-2 inhibitors were identified (https://www.fda.gov/Drugs/DrugSafety/ucm475463.htm). The FAERS database contains >2500 DKA reports in which SGLT-2 inhibitors are listed as the suspect or the concomitant drugs.281 The proportional reporting ratio (PRR) of DKA in reports including versus those not including an SGLT-2 inhibitor was 7.9 (95% CI 7.5–8.4), and was higher for type 1 diabetes. This finding was supported by a recent report from a claim database from the United States, which included 50 220 patients who had received a new prescription of an SGLT-2 inhibitor and 90 132 who had received a new prescription of a DPP-4 inhibitor.282 After propensity-score matching to balance 46 characteristics of the patients, the HR was 2.2 (95% CI 1.4–3.6).282
In four major RCTs (EMPA-REG, CANVAS, DECLARE, and the CREDENCE trial),25,34–36 the risk of DKA in patients receiving SGLT-2 inhibitors was generally increased. The HR of DKA in the EMPA-REG, CANVAS, and DECLARE trials were 1.99 (95% CI 0.22–17.80), 2.33 (95% CI 0.76–7.17) and 2.18 (95% CI 1.10–4.30), respectively. Collectively, a significant increase in the risk of DKA was observed (HR 2.20, 95% CI 1.25–3.87, p = 0.006, P for interaction 0.99).69 In the more recent CREDENCE trial, the HR for canagliflozin was 10.80 (95% CI 1.39–83.65).25
One should be aware that patients with SGLT-2 inhibitors-related DKA may not have very high blood glucose level, sometimes being called “euglycemic DKA”, and their plasma glucose level is usually <300 mg/dL.283 In a systemic review, the average blood glucose on presentation of DKA was 265.6 mg/dL.284 Because DKA is a potentially lethal complication, the consensus group recommend that potential triggering factors should be identified during the exposure period to SGLT-2 inhibitors, which include intercurrent illness, reduced food and fluid intake, reduced insulin doses, and history of alcohol intake.285,286 Symptoms of DKA, including nausea, vomiting, abdominal pain, tiredness, and shortness of breath, should be monitored.283
A higher risk of amputation with the use of canagliflozin was also found in FAERS.287 The risk of amputation of canagliflozin was higher than non-SGLT-2 inhibitors (proportional reporting ratio [PRR] 5.33, 95% CI 4.04–7.04, p < 0.0001). In contrast, the PRR for dapagliflozin was 0.25 (95% CI 0.03–1.76, p = 0.163) and for empagliflozin was 2.37 (95% CI 0.99–5.70, p = 0.054).287 In the CANVAS program, there was a higher risk of amputation of toes, feet, or legs with canagliflozin than with placebo (6.3 vs. 3.4 participants with amputation per 1000 patient-years, HR 1.97, 95% CI 1.41–2.75, p < 0.001).35 In a subanalysis of the EMPA-REG trial, the risk of lower-leg amputation was similar between the empagliflozin group and the placebo group (1.9% vs. 1.8%).288 By the analysis of time to first event, the risk was also similar in the two groups (HR 1.00, 95% CI 0.70–1.44).288 In the DECLARE trial, there was no increase in the risk of amputation by dapagliflozin versus placebo (HR 1.09, 95% CI 0.84–1.40, p = 0.53).36 Likewise, no signal of increased amputation with the use of dapagliflozin versus placebo was observed in the DAPA-HF trial (0.5% vs. 0.5%, p = 1.00).27 Interestingly, there was no increase in amputation with canagliflozin in the CREDENCE trial (HR 1.11, 95% CI 0.79–1.56).25 One should be reminded that, based on the findings from the CANVAS trial, there was a protocol amendment for the CREDENCE trial in May 2016 to ask investigators to examine patients’ feet at each trial visit and temporarily interrupt the assigned treatment in patients with any active condition that might lead to amputation.25 The U.S. FDA added a boxed warning solely to canagliflozin in May 2017 (https://www.fda.gov/Drugs/DrugSafety/ucm557507.htm).
Why canagliflozin increased amputation risk in the CANVAS trial was not exactly known. One possible reason was that there was an increase in the percentages of volume depletion with the use of canagliflozin versus placebo in the CANVAS trial (26.0% vs. 18.5%, p = 0.009).35 This might increase blood viscosity and the risk of thrombosis in the lower limbs. There was no increase in the percentages of volume depletion in other trials of SGLT-2 inhibitors (EMPA-REG: 5.1% for empagliflozin vs. 4.9% for placebo [p > 0.05]34; DECLARE: 2.5% for dapagliflozin vs. 2.4% for placebo [p > 0.05]36; DAPA-HF trial: 7.5% for dapagliflozin vs. 6.8% for placebo [p > 0.05]27; CREDENCE trial: 28.4% for canagliflozin vs. 23.5% for placebo [HR 1.25, 95% CI 0.97–1.59]).25
Amputation of the toe and middle of foot were the most common; however, amputations involving the leg, below and above the knee, also occurred.35,287 Several clinical conditions may predispose patients to the risk of amputations, including volume depletion, a history of amputation, peripheral vascular disease, neuropathy, and diabetic foot ulcers.35,287 Physicians should remind patients of the following symptoms: new pain or tenderness, sores or ulcers, or infections in legs or feet.
TZDs have detrimental effects on the skeleton,289 and increase the risk of fracture.290 In the recent IRIS trial, the incidence of fracture in the pioglitazone group was higher than that in the placebo group (5.1% vs. 3.2%, p = 0.003).155
Canagliflozin decreased bone mineral density291 and increased the risk of fracture.292 In September 2015, U.S. FDA has strengthen the warning for canagliflozin related to the increased risk of bone fractures and added new information about decreased bone mineral density (https://www.fda.gov/Drugs/DrugSafety/ucm461449.htm). In five trials of SGLT-2 inhibitors, canagliflozin in the CANVAS trial was the only one showing an increased risk of fracture (1.54% for canagliflozin vs. 1.19% for placebo, p = 0.02). There were no increases in other four trials (EMPA-REG: 3.8% for empagliflozin vs. 3.9% for placebo, p > 0.0534; DECLARE: 5.3% for dapagliflozin vs. 5.1% for placebo, p = 0.5936; DAPA-HF: 2.1% for dapagliflozin vs. 2.1% for placebo, p = 1.0027; CREDENCE: 1.18% for canagliflozin vs. 1.21% for placebo, p = 0.98).25 The ongoing SOTA-BONE trial (NCT03386344) is examining the effect of sotagliflozin on bone density and will provide some clues in this perspective.
9. SUMMARY AND CONCLUSIONS
The prevalence of type 2 diabetes has been escalating in recent decades, resulting in a huge economic and health burden to our society. Treatment of diabetes should now be expanded from a glucose-centric concept to an event-driven strategy. Fortunately, we have many new antidiabetic agents, proven to be effective in CV and renal protection. Just in recent few years, many RCTs have demonstrated significant reductions in MI, stroke, CV death, all-cause death, HF, and ESRD, in patients with preexisting CVD. The consensus group of TSOC have formulated a treatment consensus for type 2 diabetic patients with five different type of patients, including patients with multiple risk factor, CHD, CKD, stroke, and HF. This consensus is an update version of the 2018 one28 and provides physicians most updated information and recommendations regarding targets of HbA1c and choice of drugs. The consensus is not mandatory, and the physician’s decision remains most important in diabetes management.
This work was supported, in part, by grants from the Ministry of Health and Welfare (MOHW109-TDU-B-211-114001) and intramural grants from the Taipei Veterans General Hospital (109DHA0100196).
Conflicts of interest: Dr. Chiang has received honoraria from AstraZeneca, Boehringer Ingelheim, Daiichi-Sankyo, MSD, Novartis, Pfizer, and Sanofi. Kwo-Chang Ueng declared no conflicts of interest. Ting-Hsing Chao has received honoraria from AstraZeneca, Boehringer Ingelheim, Bayer, Daiichi-Sankyo, MSD, Novartis, Pfizer, Sanofi, and Orient EuroPharma. Tsung-Hsien Lin has received honoraria from AstraZeneca, Boehringer Ingelheim, Tanabe, MSD, Novartis, Pfizer, Takeda, Sanofi, Novo Nordisk, and Lilly. Yih-Jer Wu has received honoraria from Johnson & Johnson, Pfizer, GSK, AstraZeneca, and Boehringer Ingelheim. Kang-Ling Wang has received honoraria from Bayer, Boehringer Ingelheim, Daiichi-Sankyo, Novartis, and Pfizer. Shih-Hsien Sung declared no conflicts of interest. Hung-I Yeh has received honoraria from Amgen, AstraZeneca, Bayer, Boehringer Ingelheim, Daiichi-Sankyo, Lilly, Mitsubishi Tanabe, Novartis, MSD, Orient EuroPharma, Pfizer, and Sanofi. Yi-Heng Li has received honoraria from Pfizer, AstraZeneca, Boehringer Ingelheim, Daiichi-Sankyo, Sanofi, Bayer, and OEP. Ping-Yen Liu declared no conflicts of interest. Kuan-Cheng Chang has received honoraria from AstraZeneca, Boehringer Ingelheim, Daiichi-Sankyo, Bayer, Tanabe, Novartis, Pfizer, and Sanofi. Kou-Gi Shyu has received honoraria from Pfizer, Daiichi-Sankyo, Bayer, AstraZeneca, Boehringer Ingelheim, Orient EuroPharma, and Eli Lilly. Jin-Long Huang has received honoraria from Abbott, Bayer, Biotronik, Boehringer Ingelheim, Daiichi-Sankyo, Medtronic, Novartis, and Pfizer. Cheng-Dao Tsai has received honoraria from Pfizer, Daiichi-Sankyo, and Novartis. Huei-Fong Hung declared no conflicts of interest. Ming-En Liu has received honoraria from AstraZeneca, Boehringer Ingelheim, Daiichi-Sankyo, MSD, Novartis, and Pfizer. Tze-Fan Chao has received honoraria from Abbott, Bayer, Biotronik, Boehringer Ingelheim, Daiichi-Sankyo, Medtronic, Novartis, and Pfizer. Shu-Meng Cheng declared no conflicts of interest. Hao-Min Cheng has received honoraria from AstraZeneca, Pfizer, Bayer, Boehringer Ingelheim, Daiichi-Sankyo, Novartis, SERVIER, Eli Lilly, Sanofi, and TAKEDA. He also received grants for clinical research from Microlife Co., Ltd., Intelligent Vision Technology Co., Ltd. Pao-Hsien Chu has received honoraria from AstraZeneca, Boehringer Ingelheim, Daiichi-Sankyo, Novartis, and Pfizer. Wei-Hsian Yin declared no conflicts of interest. Yen-Wen Wu has received honoraria from Amgen, AstraZeneca, Bayer, Boehringer Ingelheim, Daiichi-Sankyo, Eli Lilly, Menarini, Mitsubishi Tanabe, Novartis, MSD, Pfizer, and Sanofi. Wen-Jone Chen declared no conflicts of interest. Wen-Ter Lai has received honoraria from AstraZeneca, Boehringer Ingelheim, Daiichi-Sankyo, Novartis, Pfizer, and Sanofi. Shing-Jong Lin declared no conflicts of interest. San-Jou Yeh has received honoraria from AstraZeneca, Boehringer Ingelheim, Daiichi-Sankyo, MSD, Novartis, Pfizer, Sanofi, and Tanabe. Juey-Jen Hwang declared no conflicts of interest.
1. Collaboration NCDRF. Worldwide trends in diabetes since 1980: a pooled analysis of 751 population-based studies with 4·4 million participants. Lancet 2016;387:1513–30.
2. Mathers CD, Loncar D. Projections of global mortality and burden of disease from 2002 to 2030. Plos Med 2006;3:e442.
3. Chatterjee S, Khunti K, Davies MJ. Type 2 diabetes
. Lancet 2017;389:2239–51.
4. Ramachandran A, Ma RC, Snehalatha C. Diabetes in Asia. Lancet2010;375:408–18.
5. Yang JJ, Yu D, Wen W, Saito E, Rahman S, Shu XO, et al. Association of diabetes with all-cause and cause-specific mortality in Asia: a pooled analysis of more than 1 million participants. JAMA Netw Open 2019;2:e192696.
6. Low Wang CC, Hess CN, Hiatt WR, Goldfine AB. Clinical update: cardiovascular disease in diabetes mellitus: atherosclerotic cardiovascular disease and heart failure
in type 2 diabetes
mellitus—mechanisms, management, and clinical considerations. Circulation 2016;133:2459–502.
7. Beckman JA, Paneni F, Cosentino F, Creager MA. Diabetes and vascular disease: pathophysiology, clinical consequences, and medical therapy: part II. Eur Heart J 2013;34:2444–52.
8. Booth GL, Kapral MK, Fung K, Tu JV. Relation between age and cardiovascular disease in men and women with diabetes compared with non-diabetic people: a population-based retrospective cohort study. Lancet 2006;368:29–36.
9. Stratton IM, Adler AI, Neil HA, Matthews DR, Manley SE, Cull CA, et al. Association of glycaemia with macrovascular and microvascular complications of type 2 diabetes
(UKPDS 35): prospective observational study. BMJ 2000;321:405–12.
10. Collaboration TERF. Diabetes mellitus, fasting glucose, and risk of cause-specific death. N Engl J Med 2011;364:829–41.
11. Group UPDSU. Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes
(UKPDS 33). Lancet 1998;352:837–53.
12. Group TAS. Effects of intensive glucose lowering in type 2 diabetes
. N Engl J Med 2008;358:2545–59.
13. Group TAC. Intensive blood glucose control and vascular outcomes in patients with type 2 diabetes
. N Engl J Med 2008;358:2560–72.
14. Duckworth W, Abraira C, Moritz T, Reda D, Emanuele N, Reaven PD, et al.; VADT Investigators. Glucose control and vascular complications in veterans with type 2 diabetes
. N Engl J Med 2009;360:129–39.
15. Dormandy JA, Charbonnel B, Eckland DJ, Erdmann E, Massi-Benedetti M, Moules IK, et al.; PROactive Investigators. Secondary prevention of macrovascular events in patients with type 2 diabetes
in the PROactive Study (PROspective pioglitAzone Clinical Trial In macroVascular Events): a randomised controlled trial. Lancet 2005;366:1279–89.
16. Ray KK, Seshasai SR, Wijesuriya S, Sivakumaran R, Nethercott S, Preiss D, et al. Effect of intensive control of glucose on cardiovascular outcomes and death in patients with diabetes mellitus: a meta-analysis of randomised controlled trials. Lancet 2009;373:1765–72.
17. Huang CJ, Wang WT, Sung SH, Chen CH, Lip GYH, Cheng HM, et al. Blood glucose reduction by diabetic drugs with minimal hypoglycaemia risk for cardiovascular outcomes: evidence from meta-regression analysis of randomized controlled trials. Diabetes Obes Metab 2018;20:2131–9.
18. Harrington JL, de Albuquerque Rocha N, Patel KV, Verma S, McGuire DK. Should metformin remain first-line medical therapy for patients with type 2 diabetes
mellitus and atherosclerotic cardiovascular disease? An alternative approach. Curr Diab Rep 2018;18:64.
19. Sharma A, Pagidipati NJ, Califf RM, McGuire DK, Green JB, Demets D, et al. Impact of regulatory guidance on evaluating cardiovascular risk of new glucose-lowering therapies to treat type 2 diabetes
mellitus: lessons learned and future directions. Circulation 2020;141:843–62.
20. Nissen SE, Wolski K. Effect of rosiglitazone on the risk of myocardial infarction and death from cardiovascular causes. N Engl J Med 2007;356:2457–71.
21. Lago RM, Singh PP, Nesto RW. Congestive heart failure
and cardiovascular death in patients with prediabetes and type 2 diabetes
given thiazolidinediones: a meta-analysis of randomised clinical trials. Lancet 2007;370:1129–36.
22. Nissen SE, Wolski K, Topol EJ. Effect of muraglitazar on death and major adverse cardiovascular events in patients with type 2 diabetes
mellitus. JAMA 2005;294:2581–6.
23. Pfeffer MA, Claggett B, Diaz R, Dickstein K, Gerstein HC, Køber LV, et al.; ELIXA Investigators. Lixisenatide in patients with type 2 diabetes
and acute coronary syndrome. N Engl J Med 2015;373:2247–57.
24. Green JB, Bethel MA, Armstrong PW, Buse JB, Engel SS, Garg J, et al.; TECOS Study Group. Effect of sitagliptin on cardiovascular outcomes in type 2 diabetes
. N Engl J Med 2015;373:232–42.
25. Perkovic V, Jardine MJ, Neal B, Bompoint S, Heerspink HJL, Charytan DM, et al.; CREDENCE Trial Investigators. Canagliflozin and renal outcomes in type 2 diabetes
and nephropathy. N Engl J Med 2019;380:2295–306.
26. Rosenstock J, Perkovic V, Johansen OE, Cooper ME, Kahn SE, Marx N, et al.; CARMELINA Investigators. Effect of linagliptin vs placebo on major cardiovascular events in adults with type 2 diabetes
and high cardiovascular and renal risk: the CARMELINA randomized clinical trial. JAMA 2019;321:69–79.
27. McMurray JJV, Solomon SD, Inzucchi SE, Køber L, Kosiborod MN, Martinez FA, et al.; DAPA-HF Trial Committees and Investigators. Dapagliflozin in patients with heart failure
and reduced ejection fraction. N Engl J Med 2019;381:1995–2008.
28. Chiang CE, Lin SY, Lin TH, Wang TD, Yeh HI, Chen JF, et al. 2018 consensus of the Taiwan Society of Cardiology and the Diabetes Association of Republic of China (Taiwan) on the pharmacological management of patients with type 2 diabetes
and cardiovascular diseases. J Chin Med Assoc 2018;81:189–222.
29. Group UPDS. Effect of intensive blood-glucose control with metformin on complications in overweight patients with type 2 diabetes
(UKPDS 34). Lancet 1998;352:854–65.
30. Boussageon R, Gueyffier F, Cornu C. Metformin as firstline treatment for type 2 diabetes
: are we sure? BMJ 2016;352:h6748.
31. Boussageon R, Supper I, Bejan-Angoulvant T, Kellou N, Cucherat M, Boissel JP, et al. Reappraisal of metformin efficacy in the treatment of type 2 diabetes
: a meta-analysis of randomised controlled trials. Plos Med 2012;9:e1001204.
32. Griffin SJ, Leaver JK, Irving GJ. Impact of metformin on cardiovascular disease: a meta-analysis of randomised trials among people with type 2 diabetes
. Diabetologia 2017;60:1620–9.
33. Bergmark BA, Bhatt DL, McGuire DK, Cahn A, Mosenzon O, Steg PG, et al.; SAVOR-TIMI 53 Steering Committee and Investigators. Metformin use and clinical outcomes among patients with diabetes mellitus with or without heart failure
or kidney dysfunction: observations from the SAVOR-TIMI 53 trial. Circulation 2019;140:1004–14.
34. Zinman B, Wanner C, Lachin JM, Fitchett D, Bluhmki E, Hantel S, et al.; EMPA-REG OUTCOME Investigators. Empagliflozin, cardiovascular outcomes, and mortality in type 2 diabetes
. N Engl J Med 2015;373:2117–28.
35. Neal B, Perkovic V, Mahaffey KW, de Zeeuw D, Fulcher G, Erondu N, et al.; CANVAS Program Collaborative Group. Canagliflozin and cardiovascular and renal events in type 2 diabetes
. N Engl J Med 2017;377:644–57.
36. Wiviott SD, Raz I, Bonaca MP, Mosenzon O, Kato ET, Cahn A, et al.; DECLARE–TIMI 58 Investigators. Dapagliflozin and cardiovascular outcomes in type 2 diabetes
. N Engl J Med 2019;380:347–57.
37. Cosentino F, Grant PJ, Aboyans V, Bailey CJ, Ceriello A, Delgado V, et al.; ESC Scientific Document Group. 2019 ESC guidelines on diabetes, pre-diabetes, and cardiovascular diseases developed in collaboration with the EASD. Eur Heart J 2020;41:255–323.
38. Sarwar N, Gao P, Seshasai SR, Gobin R, Kaptoge S, Di Angelantonio E, et al. Diabetes mellitus, fasting blood glucose concentration, and risk of vascular disease: a collaborative meta-analysis of 102 prospective studies. Lancet 2010;375:2215–22.
39. Tarnow L, Rossing P, Gall MA, Nielsen FS, Parving HH. Prevalence of arterial hypertension in diabetic patients before and after the JNC-V. Diabetes Care 1994;17:1247–51.
40. Jacobs MJ, Kleisli T, Pio JR, Malik S, L’Italien GJ, Chen RS, et al. Prevalence and control of dyslipidemia among persons with diabetes in the United States. Diabetes Res Clin Pract 2005;70:263–9.
41. Daousi C, Casson IF, Gill GV, MacFarlane IA, Wilding JP, Pinkney JH. Prevalence of obesity in type 2 diabetes
in secondary care: association with cardiovascular risk factors. Postgrad Med J 2006;82:280–4.
42. Tsai MH, Hsu CY, Lin MY, Yen MF, Chen HH, Chiu YH, et al. Incidence, prevalence, and duration of chronic kidney disease
in Taiwan: results from a community-based screening program of 106,094 individuals. Nephron 2018;140:175–84.
43. Holman RR, Paul SK, Bethel MA, Matthews DR, Neil HA. 10-Year follow-up of intensive glucose control in type 2 diabetes
. N Engl J Med 2008;359:1577–89.
44. Zoungas S, Patel A, Chalmers J, de Galan BE, Li Q, Billot L, et al.; ADVANCE Collaborative Group. Severe hypoglycemia and risks of vascular events and death. N Engl J Med 2010;363:1410–8.
45. Svensson E, Baggesen LM, Johnsen SP, Pedersen L, Nørrelund H, Buhl ES, et al. Early glycemic control and magnitude of HbA1c reduction predict cardiovascular events and mortality: population-based cohort study of 24,752 metformin initiators. Diabetes Care 2017;40:800–7.
46. American Diabetes Association. 9. Pharmacologic approaches to glycemic treatment: standards of medical care in diabetes—2020. Diabetes care 2020;43:S98–110.
47. Lamanna C, Monami M, Marchionni N, Mannucci E. Effect of metformin on cardiovascular events and mortality: a meta-analysis of randomized clinical trials. Diabetes Obes Metab 2011;13:221–8.
48. Palmer SC, Mavridis D, Nicolucci A, Johnson DW, Tonelli M, Craig JC, et al. Comparison of clinical outcomes and adverse events associated with glucose-lowering drugs in patients with type 2 diabetes
: a meta-analysis. JAMA 2016;316:313–24.
49. Investigators TOT. Basal insulin and cardiovascular and other outcomes in dysglycemia. N Engl J Med 2012;367:319–28.
50. Group TNS. Effect of nateglinide on the incidence of diabetes and cardiovascular events. N Engl J Med 2010;362:1463–76.
51. Chiasson JL, Josse RG, Gomis R, Hanefeld M, Karasik A, Laakso M; STOP-NIDDM Trial Research Group. Acarbose treatment and the risk of cardiovascular disease and hypertension in patients with impaired glucose tolerance: the STOP-NIDDM trial. JAMA 2003;290:486–94.
52. Holman RR, Coleman RL, Chan JCN, Chiasson JL, Feng H, Ge J, et al.; ACE Study Group. Effects of acarbose on cardiovascular and diabetes outcomes in patients with coronary heart disease
and impaired glucose tolerance (ACE): a randomised, double-blind, placebo-controlled trial. Lancet Diabetes Endocrinol 2017;5:877–86.
53. Scirica BM, Bhatt DL, Braunwald E, Steg PG, Davidson J, Hirshberg B, et al.; SAVOR-TIMI 53 Steering Committee and Investigators. Saxagliptin and cardiovascular outcomes in patients with type 2 diabetes
mellitus. N Engl J Med 2013;369:1317–26.
54. White WB, Cannon CP, Heller SR, Nissen SE, Bergenstal RM, Bakris GL, et al.; EXAMINE Investigators. Alogliptin after acute coronary syndrome in patients with type 2 diabetes
. N Engl J Med 2013;369:1327–35.
55. Rosenstock J, Kahn SE, Johansen OE, Zinman B, Espeland MA, Woerle HJ, et al. Effect of linagliptin vs glimepiride on major adverse cardiovascular outcomes in patients with type 2 diabetes
: the CAROLINA randomized clinical trial. JAMA 2019;322:1155–66.
56. Holman RR, Bethel MA, Mentz RJ, Thompson VP, Lokhnygina Y, Buse JB, et al.; EXSCEL Study Group. Effects of once-weekly exenatide on cardiovascular outcomes in type 2 diabetes
. N Engl J Med 2017;377:1228–39.
57. Marso SP, Daniels GH, Brown-Frandsen K, Kristensen P, Mann JF, Nauck MA, et al.; LEADER Steering Committee; LEADER Trial Investigators. Liraglutide and cardiovascular outcomes in type 2 diabetes
. N Engl J Med 2016;375:311–22.
58. Marso SP, Bain SC, Consoli A, Eliaschewitz FG, Jódar E, Leiter LA, et al.; SUSTAIN-6 Investigators. Semaglutide and cardiovascular outcomes in patients with type 2 diabetes
. N Engl J Med 2016;375:1834–44.
59. Husain M, Birkenfeld AL, Donsmark M, Dungan K, Eliaschewitz FG, Franco DR, et al.; PIONEER 6 Investigators. Oral semaglutide and cardiovascular outcomes in patients with type 2 diabetes
. N Engl J Med 2019;381:841–51.
60. Hernandez AF, Green JB, Janmohamed S, D’Agostino RB Sr, Granger CB, Jones NP, et al.; Harmony Outcomes committees and investigators. Albiglutide and cardiovascular outcomes in patients with type 2 diabetes
and cardiovascular disease (Harmony Outcomes): a double-blind, randomised placebo-controlled trial. Lancet 2018;392:1519–29.
61. Gerstein HC, Colhoun HM, Dagenais GR, Diaz R, Lakshmanan M, Pais P, et al.; REWIND Investigators. Dulaglutide and cardiovascular outcomes in type 2 diabetes
(REWIND): a double-blind, randomised placebo-controlled trial. Lancet 2019;394:121–30.
62. Gerstein HC, Colhoun HM, Dagenais GR, Diaz R, Lakshmanan M, Pais P, et al.; REWIND Investigators. Dulaglutide and renal outcomes in type 2 diabetes
: an exploratory analysis of the REWIND randomised, placebo-controlled trial. Lancet 2019;394:131–8.
63. Zelniker TA, Wiviott SD, Raz I, Im K, Goodrich EL, Furtado RHM, et al. Comparison of the effects of glucagon-like peptide receptor agonists and sodium-glucose cotransporter 2 inhibitors for prevention of major adverse cardiovascular and renal outcomes in type 2 diabetes
mellitus. Circulation 2019;139:2022–31.
64. Kristensen SL, Rørth R, Jhund PS, Docherty KF, Sattar N, Preiss D, et al. Cardiovascular, mortality, and kidney outcomes with GLP-1 receptor agonists in patients with type 2 diabetes
: a systematic review and meta-analysis of cardiovascular outcome trials. Lancet Diabetes Endocrinol 2019;7:776–85.
65. Mahaffey KW, Neal B, Perkovic V, de Zeeuw D, Fulcher G, Erondu N, et al.; CANVAS Program Collaborative Group. Canagliflozin for primary and secondary prevention of cardiovascular events: results from the CANVAS program (Canagliflozin Cardiovascular Assessment Study). Circulation 2018;137:323–34.
66. Perkovic V, de Zeeuw D, Mahaffey KW, Fulcher G, Erondu N, Shaw W, et al. Canagliflozin and renal outcomes in type 2 diabetes
: results from the CANVAS Program randomised clinical trials. Lancet Diabetes Endocrinol 2018;6:691–704.
67. Rådholm K, Figtree G, Perkovic V, Solomon SD, Mahaffey KW, de Zeeuw D, et al. Canagliflozin and heart failure
in type 2 diabetes
mellitus: results from the CANVAS program. Circulation 2018;138:458–68.
68. Mosenzon O, Wiviott SD, Cahn A, Rozenberg A, Yanuv I, Goodrich EL, et al. Effects of dapagliflozin on development and progression of kidney disease in patients with type 2 diabetes
: an analysis from the DECLARE-TIMI 58 randomised trial. Lancet Diabetes Endocrinol 2019;7:606–17.
69. Zelniker TA, Wiviott SD, Raz I, Im K, Goodrich EL, Bonaca MP, et al. SGLT2 inhibitors for primary and secondary prevention of cardiovascular and renal outcomes in type 2 diabetes
: a systematic review and meta-analysis of cardiovascular outcome trials. Lancet 2019;393:31–9.
70. Haffner SM, Lehto S, Rönnemaa T, Pyörälä K, Laakso M. Mortality from coronary heart disease
in subjects with type 2 diabetes
and in nondiabetic subjects with and without prior myocardial infarction. N Engl J Med 1998;339:229–34.
71. Turnbull FM, Abraira C, Anderson RJ, Byington RP, Chalmers JP, Duckworth WC, et al. Intensive glucose control and macrovascular outcomes in type 2 diabetes
. Diabetologia 2009;52:228898.
72. Khaw KT, Wareham N, Bingham S, Luben R, Welch A, Day N. Association of hemoglobin A1c with cardiovascular disease and mortality in adults: the European prospective investigation into cancer in Norfolk. Ann Intern Med 2004;141:413–20.
73. Hong J, Zhang Y, Lai S, Lv A, Su Q, Dong Y, et al.; SPREAD-DIMCAD Investigators. Effects of metformin versus glipizide on cardiovascular outcomes in patients with type 2 diabetes
and coronary artery disease. Diabetes Care 2013;36:1304–11.
74. Hemmingsen B, Schroll JB, Wetterslev J, Gluud C, Vaag A, Sonne DP, et al. Sulfonylurea versus metformin monotherapy in patients with type 2 diabetes
: a Cochrane systematic review and meta-analysis of randomized clinical trials and trial sequential analysis. CMAJ Open 2014;2:E162–75.
75. Han Y, Xie H, Liu Y, Gao P, Yang X, Shen Z. Effect of metformin on all-cause and cardiovascular mortality in patients with coronary artery diseases: a systematic review and an updated meta-analysis. Cardiovasc Diabetol 2019;18:96.
76. Fung CS, Wan EY, Wong CK, Jiao F, Chan AK. Effect of metformin monotherapy on cardiovascular diseases and mortality: a retrospective cohort study on Chinese type 2 diabetes
mellitus patients. Cardiovasc Diabetol 2015;14:137.
77. Jong CB, Chen KY, Hsieh MY, Su FY, Wu CC, Voon WC, et al. Metformin was associated with lower all-cause mortality in type 2 diabetes
with acute coronary syndrome: a nationwide registry with propensity score-matched analysis. Int J Cardiol 2019;291:152–7.
78. Goldberg RB, Aroda VR, Bluemke DA, Barrett-Connor E, Budoff M, Crandall JP, et al.; Diabetes Prevention Program Research Group. Effect of long-term metformin and lifestyle in the diabetes prevention program and its outcome study on coronary artery calcium. Circulation 2017;136:52–64.
79. Preiss D, Lloyd SM, Ford I, McMurray JJ, Holman RR, Welsh P, et al. Metformin for non-diabetic patients with coronary heart disease
(the CAMERA study): a randomised controlled trial. Lancet Diabetes Endocrinol 2014;2:116–24.
80. Seidowsky A, Nseir S, Houdret N, Fourrier F. Metformin-associated lactic acidosis: a prognostic and therapeutic study. Crit Care Med 2009;37:2191–6.
81. Salpeter SR, Greyber E, Pasternak GA, Salpeter EE. Risk of fatal and nonfatal lactic acidosis with metformin use in type 2 diabetes
mellitus: systematic review and meta-analysis. Arch Intern Med 2003;163:2594–602.
82. Bodmer M, Meier C, Krähenbühl S, Jick SS, Meier CR. Metformin, sulfonylureas, or other antidiabetes drugs and the risk of lactic acidosis or hypoglycemia: a nested case-control analysis. Diabetes Care 2008;31:2086–91.
83. Hung SC, Chang YK, Liu JS, Kuo KL, Chen YH, Hsu CC, et al. Metformin use and mortality in patients with advanced chronic kidney disease
: national, retrospective, observational, cohort study. Lancet Diabetes Endocrinol 2015;3:605–14.
84. Seltzer HS. A summary of criticisms of the findings and conclusions of the University Group Diabetes Program (UGDP). Diabetes 1972;21:976–9.
85. Tzoulaki I, Molokhia M, Curcin V, Little MP, Millett CJ, Ng A, et al. Risk of cardiovascular disease and all cause mortality among patients with type 2 diabetes
prescribed oral antidiabetes drugs: retrospective cohort study using UK general practice research database. BMJ 2009;339:b4731.
86. Bannister CA, Holden SE, Jenkins-Jones S, Morgan CL, Halcox JP, Schernthaner G, et al. Can people with type 2 diabetes
live longer than those without? A comparison of mortality in people initiated with metformin or sulphonylurea monotherapy and matched, non-diabetic controls. Diabetes Obes Metab 2014;16:1165–73.
87. Forst T, Hanefeld M, Jacob S, Moeser G, Schwenk G, Pfützner A, et al. Association of sulphonylurea treatment with all-cause and cardiovascular mortality: a systematic review and meta-analysis of observational studies. Diab Vasc Dis Res 2013;10:302–14.
88. Bain S, Druyts E, Balijepalli C, Baxter CA, Currie CJ, Das R, et al. Cardiovascular events and all-cause mortality associated with sulphonylureas compared with other antihyperglycaemic drugs: a Bayesian meta-analysis of survival data. Diabetes Obes Metab 2017;19:329–35.
89. Ou S, Shih C, Chao P, et al. EFfects on clinical outcomes of adding dipeptidyl peptidase-4 inhibitors versus sulfonylureas to metformin therapy in patients with type 2 diabetes
mellitus. Ann Intern Med 2015;163:663–72.
90. Noma A. ATP-regulated K+ channels in cardiac muscle. Nature 1983;305:147–8.
91. Schramm TK, Gislason GH, Vaag A, Rasmussen JN, Folke F, Hansen ML, et al. Mortality and cardiovascular risk associated with different insulin secretagogues compared with metformin in type 2 diabetes
, with or without a previous myocardial infarction: a nationwide study. Eur Heart J 2011;32:1900–8.
92. Simpson SH, Lee J, Choi S, Vandermeer B, Abdelmoneim AS, Featherstone TR. Mortality risk among sulfonylureas: a systematic review and network meta-analysis. Lancet Diabetes Endocrinol 2015;3:43–51.
93. Rados DV, Pinto LC, Remonti LR, Leitão CB, Gross JL. Correction: The association between sulfonylurea use and all-cause and cardiovascular mortality: a meta-analysis with trial sequential analysis of randomized clinical trials. Plos Med 2016;13:e1002091.
94. Chang CH, Chang YC, Lin JW, Chen ST, Chuang LM, Lai MS. Cardiovascular risk associated with acarbose versus metformin as the first-line treatment in patients with type 2 diabetes
: a nationwide cohort study. J Clin Endocrinol Metab 2015;100:1121–9.
95. Erdmann E, Dormandy JA, Charbonnel B, Massi-Benedetti M, Moules IK, Skene AM; PROactive Investigators. The effect of pioglitazone on recurrent myocardial infarction in 2,445 patients with type 2 diabetes
and previous myocardial infarction: results from the PROactive (PROactive 05) Study. J Am Coll Cardiol 2007;49:1772–80.
96. Lincoff AM, Wolski K, Nicholls SJ, Nissen SE. Pioglitazone and risk of cardiovascular events in patients with type 2 diabetes
mellitus: a meta-analysis of randomized trials. JAMA 2007;298:1180–8.
97. de Jong M, van der Worp HB, van der Graaf Y, Visseren FLJ, Westerink J. Pioglitazone and the secondary prevention of cardiovascular disease. A meta-analysis of randomized-controlled trials. Cardiovasc Diabetol 2017;16:134.
98. Mazzone T, Meyer PM, Feinstein SB, Davidson MH, Kondos GT, D’Agostino RB Sr, et al. Effect of pioglitazone compared with glimepiride on carotid intima-media thickness in type 2 diabetes
: a randomized trial. JAMA 2006;296:2572–81.
99. Nissen SE, Nicholls SJ, Wolski K, Nesto R, Kupfer S, Perez A, et al.; PERISCOPE Investigators. Comparison of pioglitazone vs glimepiride on progression of coronary atherosclerosis in patients with type 2 diabetes
: the PERISCOPE randomized controlled trial. JAMA 2008;299:1561–73.
100. Graham DJ, Ouellet-Hellstrom R, MaCurdy TE, Ali F, Sholley C, Worrall C, et al. Risk of acute myocardial infarction, stroke
, heart failure
, and death in elderly Medicare patients treated with rosiglitazone or pioglitazone. JAMA 2010;304:411–8.
101. Home PD, Pocock SJ, Beck-Nielsen H, Gomis R, Hanefeld M, Jones NP, et al.; RECORD Study Group. Rosiglitazone evaluated for cardiovascular outcomes—an interim analysis. N Engl J Med 2007;357:28–38.
102. Home PD, Pocock SJ, Beck-Nielsen H, Curtis PS, Gomis R, Hanefeld M, et al.; RECORD Study Team. Rosiglitazone evaluated for cardiovascular outcomes in oral agent combination therapy for type 2 diabetes
(RECORD): a multicentre, randomised, open-label trial. Lancet 2009;373:2125–35.
103. Marso SP, McGuire DK, Zinman B, Poulter NR, Emerson SS, Pieber TR, et al.; DEVOTE Study Group. Efficacy and safety of degludec versus glargine in type 2 diabetes
. N Engl J Med 2017;377:723–32.
104. Khan AA, Chung MJ, Novak E, Brown DL. Increased hazard of myocardial infarction with insulin-provision therapy in actively smoking patients with diabetes mellitus and stable ischemic heart disease: the BARI 2D (Bypass Angioplasty Revascularization Investigation 2 Diabetes) Trial. J Am Heart Assoc 2017;6:e005946.
105. Li J, Tong Y, Zhang Y, Tang L, Lv Q, Zhang F, et al. Effects on all-cause mortality and cardiovascular outcomes in patients with type 2 diabetes
by comparing insulin with oral hypoglycemic agent therapy: a meta-analysis of randomized controlled trials. Clin Ther 2016;38:372–386.e6.
106. Sharma A, Cannon CP, White WB, Liu Y, Bakris GL, Cushman WC, et al. Early and chronic dipeptidyl-peptidase-IV inhibition and cardiovascular events in patients with type 2 diabetes
mellitus after an acute coronary syndrome: a landmark analysis of the EXAMINE trial. J Am Heart Assoc 2018;7:e007649.
107. Nauck MA, McGuire DK, Pieper KS, Lokhnygina Y, Strandberg TE, Riefflin A, et al. Sitagliptin does not reduce the risk of cardiovascular death or hospitalization for heart failure
following myocardial infarction in patients with diabetes: observations from TECOS. Cardiovasc Diabetol 2019;18:116.
108. Lehrke M, Leiter LA, Hehnke U, Thiemann S, Bhandari A, Meinicke T, et al. Safety and efficacy of linagliptin in patients with type 2 diabetes
mellitus and coronary artery disease: Analysis of pooled events from 19 clinical trials. J Diabetes Complications 2016;30:1378–84.
109. Leiter LA, Bain SC, Hramiak I, Jódar E, Madsbad S, Gondolf T, et al. Cardiovascular risk reduction with once-weekly semaglutide in subjects with type 2 diabetes
: a post hoc analysis of gender, age, and baseline CV risk profile in the SUSTAIN 6 trial. Cardiovasc Diabetol 2019;18:73.
110. Caruso I, Cignarelli A, Giorgino F. Heterogeneity and similarities in GLP-1 receptor agonist cardiovascular outcomes trials. Trends Endocrinol Metab 2019;30:578–89.
111. Taylor SI. GLP-1 receptor agonists: differentiation within the class. Lancet Diabetes Endocrinol 2018;6:83–5.
112. Verma S, Mazer CD, Fitchett D, Inzucchi SE, Pfarr E, George JT, et al. Empagliflozin reduces cardiovascular events, mortality and renal events in participants with type 2 diabetes
after coronary artery bypass graft surgery: subanalysis of the EMPA-REG OUTCOME® randomised trial. Diabetologia 2018;61:1712–23.
113. Kaku K, Lee J, Mattheus M, Kaspers S, George J, Woerle H-J, et al. Empagliflozin and cardiovascular outcomes in asian patients with type 2 diabetes
and established cardiovascular disease―results from EMPA-REG OUTCOME trial. Circulation J 2017;81:22734.
114. Furtado RHM, Bonaca MP, Raz I, Zelniker TA, Mosenzon O, Cahn A, et al. Dapagliflozin and cardiovascular outcomes in patients with type 2 diabetes
mellitus and previous myocardial infarction. Circulation 2019;139:2516–27.
115. Tuttle KR, Bakris GL, Bilous RW, Chiang JL, de Boer IH, Goldstein-Fuchs J, et al. Diabetic kidney disease: a report from an ADA Consensus Conference. Diabetes Care 2014;37:2864–83.
116. Afkarian M, Zelnick LR, Hall YN, Heagerty PJ, Tuttle K, Weiss NS, et al. Clinical manifestations of kidney disease among US Adults with diabetes, 1988-2014. JAMA 2016;316:602–10.
117. Afkarian M, Sachs MC, Kestenbaum B, Hirsch IB, Tuttle KR, Himmelfarb J, et al. Kidney disease and increased mortality risk in type 2 diabetes
. J Am Soc Nephrol 2013;24:302–8.
118. Huang Y-Y, Lin K-D, Jiang Y-D, Chang C-H, Chung C-H, Chuang L-M, et al. Diabetes-related kidney, eye, and foot disease in Taiwan: an analysis of the nationwide data for 2000–2009. J Formos Medl Assoc 2012;111:637–44.
119. Wen CP, Cheng TY, Tsai MK, Chang YC, Chan HT, Tsai SP, et al. All-cause mortality attributable to chronic kidney disease
: a prospective cohort study based on 462 293 adults in Taiwan. Lancet 2008;371:2173–82.
120. Zoungas S, Arima H, Gerstein HC, Holman RR, Woodward M, Reaven P, et al.; Collaborators on Trials of Lowering Glucose (CONTROL) Group. Effects of intensive glucose control on microvascular outcomes in patients with type 2 diabetes
: a meta-analysis of individual participant data from randomised controlled trials. Lancet Diabetes Endocrinol 2017;5:431–7.
121. Coca SG, Ismail-Beigi F, Haq N, Krumholz HM, Parikh CR. Role of intensive glucose control in development of renal end points in type 2 diabetes
mellitus: systematic review and meta-analysis intensive glucose control in type 2 diabetes
. Arch Intern Med 2012;172:761–9.
122. Wong MG, Perkovic V, Chalmers J, Woodward M, Li Q, Cooper ME, et al.; ADVANCE-ON Collaborative Group. Long-term Benefits of Intensive Glucose Control for Preventing End-Stage Kidney Disease: ADVANCE-ON. Diabetes Care 2016;39:694–700.
123. American Diabetes Association. 6. Glycemic targets: standards of medical care in diabetes—2020. Diabetes Care 2020;43:S66–76.
124. Moen MF, Zhan M, Hsu VD, Walker LD, Einhorn LM, Seliger SL, et al. Frequency of hypoglycemia and its significance in chronic kidney disease
. Clin J Am Soc Nephrol 2009;4:1121–7.
125. Shurraw S, Hemmelgarn B, Lin M, Majumdar SR, Klarenbach S, Manns B, et al.; Alberta Kidney Disease Network. Association between glycemic control and adverse outcomes in people with diabetes mellitus and chronic kidney disease
: a population-based cohort study. Arch Intern Med 2011;171:1920–7.
126. Papademetriou V, Lovato L, Doumas M, Nylen E, Mottl A, Cohen RM, et al.; ACCORD Study Group. Chronic kidney disease
and intensive glycemic control increase cardiovascular risk in patients with type 2 diabetes
. Kidney Int 2015;87:649–59.
127. Miller ME, Bonds DE, Gerstein HC, Seaquist ER, Bergenstal RM, Calles-Escandon J, et al.; ACCORD Investigators. The effects of baseline characteristics, glycaemia treatment approach, and glycated haemoglobin concentration on the risk of severe hypoglycaemia: post hoc epidemiological analysis of the ACCORD study. BMJ 2010;340:b5444.
128. Schneider CA, Ferrannini E, Defronzo R, Schernthaner G, Yates J, Erdmann E. Effect of pioglitazone on cardiovascular outcome in diabetes and chronic kidney disease
. J Am Soc Nephrol 2008;19:182–7.
129. De Cosmo S, Prudente S, Lamacchia O, Lapice E, Morini E, Di Paola R, et al. PPARγ2 P12A polymorphism and albuminuria in patients with type 2 diabetes
: a meta-analysis of case-control studies. Nephrol Dial Transplant 2011;26:4011–6.
130. August P, Hardison RM, Hage FG, Marroquin OC, McGill JB, Rosenberg Y, et al.; BARI 2D Study Group. Change in albuminuria and eGFR following insulin sensitization therapy versus insulin provision therapy in the BARI 2D study. Clin J Am Soc Nephrol 2014;9:64–71.
131. Mosenzon O, Leibowitz G, Bhatt DL, Cahn A, Hirshberg B, Wei C, et al. Effect of saxagliptin on renal outcomes in the SAVOR-TIMI 53 trial. Diabetes Care 2017;40:69–76.
132. Udell JA, Bhatt DL, Braunwald E, Cavender MA, Mosenzon O, Steg PG, et al.; SAVOR-TIMI 53 Steering Committee and Investigators. Saxagliptin and cardiovascular outcomes in patients with type 2 diabetes
and moderate or severe renal impairment: observations from the SAVOR-TIMI 53 Trial. Diabetes Care 2015;38:696–705.
133. Cornel JH, Bakris GL, Stevens SR, Alvarsson M, Bax WA, Chuang LM, et al.; TECOS Study Group. Effect of sitagliptin on kidney function and respective cardiovascular outcomes in type 2 diabetes
: Outcomes from TECOS. Diabetes Care 2016;39:2304–10.
134. Sakai Y, Suzuki A, Mugishima K, Sumi Y, Otsuka Y, Otsuka T, et al. Effects of alogliptin in chronic kidney disease
patients with type 2 diabetes
. Intern Med 2014;53:195–203.
135. Russo E, Penno G, Del Prato S. Managing diabetic patients with moderate or severe renal impairment using DPP-4 inhibitors: focus on vildagliptin. Diabetes Metab Syndr Obes 2013;6:161–70.
136. Mann JFE, Ørsted DD, Brown-Frandsen K, Marso SP, Poulter NR, Rasmussen S, et al.; LEADER Steering Committee and Investigators. Liraglutide and renal outcomes in type 2 diabetes
. N Engl J Med 2017;377:839–48.
137. Wanner C, Inzucchi SE, Lachin JM, Fitchett D, von Eynatten M, Mattheus M, et al.; EMPA-REG OUTCOME Investigators. Empagliflozin and progression of kidney disease in type 2 diabetes
. N Engl J Med 2016;375:323–34.
138. Zatz R, Dunn BR, Meyer TW, Anderson S, Rennke HG, Brenner BM. Prevention of diabetic glomerulopathy by pharmacological amelioration of glomerular capillary hypertension. J Clin Invest 1986;77:1925–30.
139. Heerspink HJ, Perkins BA, Fitchett DH, Husain M, Cherney DZ. Sodium glucose cotransporter 2 inhibitors in the treatment of diabetes mellitus: cardiovascular and kidney effects, potential mechanisms, and clinical applications. Circulation 2016;134:752–72.
140. Pollock CA, Lawrence JR, Field MJ. Tubular sodium handling and tubuloglomerular feedback in experimental diabetes mellitus. Am J Physiol 1991;260(6 Pt 2):F946–52.
141. Vestri S, Okamoto MM, de Freitas HS, Aparecida Dos Santos R, Nunes MT, Morimatsu M, et al. Changes in sodium or glucose filtration rate modulate expression of glucose transporters in renal proximal tubular cells of rat. J Membr Biol 2001;182:105–12.
142. Bank NAynedjian HS. Progressive increases in luminal glucose stimulate proximal sodium absorption in normal and diabetic rats. J Clin Invest 1990;86:309–16.
143. Vallon V, Mühlbauer B, Osswald H. Adenosine and kidney function. Physiol Rev 2006;86:901–40.
144. Vallon V, Richter K, Blantz RC, Thomson S, Osswald H. Glomerular hyperfiltration in experimental diabetes mellitus: potential role of tubular reabsorption. J Am Soc Nephrol 1999;10:2569–76.
145. Garla V, Yanes-Cardozo L, Lien LF. Current therapeutic approaches in the management of hyperglycemia in chronic renal disease. Rev Endocr Metab Disord 2017;18:5–19.
146. Davies M, Chatterjee S, Khunti K. The treatment of type 2 diabetes
in the presence of renal impairment: what we should know about newer therapies. Clin Pharmacol 2016;8:61–81.
147. Di Lullo L, Mangano M, Ronco C, Barbera V, De Pascalis A, Bellasi A, et al. The treatment of type 2 diabetes
mellitus in patients with chronic kidney disease
: what to expect from new oral hypoglycemic agents. Diabetes Metab Syndr 2017;11Suppl 1295–305.
148. Association AD. 8. Pharmacologic approaches to glycemic treatment: standards of medical care in diabetes-2018. Diabetes Care 2018;41:S73–S85.
149. Schumacher S, Abbasi I, Weise D, Hatorp V, Sattler K, Sieber J, et al. Single- and multiple-dose pharmacokinetics of repaglinide in patients with type 2 diabetes
and renal impairment. Eur J Clin Pharmacol 2001;57:147–52.
150. Prospective Studies Collaboration and Asia Pacific Cohort Studies Collaboration. Sex-specific relevance of diabetes to occlusive vascular and other mortality: a collaborative meta-analysis of individual data from 980 793 adults from 68 prospective studies. Lancet Diabetes Endocrinol 2018;6:538–46.
151. Hsieh FI, Chiou HY. Stroke
: morbidity, risk factors, and care in taiwan. J Stroke
152. Yi X, Luo H, Zhou J, Yu M, Chen X, Tan L, et al. Prevalence of stroke
related risk factors: a population based cross sectional survey in southwestern China. BMC Neurol 2020;20:5.
153. Luitse MJ, Biessels GJ, Rutten GE, Kappelle LJ. Diabetes, hyperglycaemia, and acute ischaemic stroke
. Lancet Neurol 2012;11:261–71.
154. Wilcox R, Bousser MG, Betteridge DJ, Schernthaner G, Pirags V, Kupfer S, et al.; PROactive Investigators. Effects of pioglitazone in patients with type 2 diabetes
with or without previous stroke
: results from PROactive (PROspective pioglitAzone Clinical Trial In macroVascular Events 04). Stroke
155. Kernan WN, Viscoli CM, Furie KL, Young LH, Inzucchi SE, Gorman M, et al.; IRIS Trial Investigators. Pioglitazone after Ischemic Stroke
or Transient Ischemic Attack. N Engl J Med 2016;374:1321–31.
156. Boussageon R, Bejan-Angoulvant T, Saadatian-Elahi M, Lafont S, Bergeonneau C, Kassaï B, et al. Effect of intensive glucose lowering treatment on all cause mortality, cardiovascular death, and microvascular events in type 2 diabetes
: meta-analysis of randomised controlled trials. BMJ 2011;343:d4169.
157. Hsu PF, Sung SH, Cheng HM, Yeh JS, Liu WL, Chan WL, et al. Association of clinical symptomatic hypoglycemia with cardiovascular events and total mortality in type 2 diabetes
: a nationwide population-based study. Diabetes Care 2013;36:894–900.
158. Shen Y, Shi L, Nauman E, Katzmarzyk P, Price-Haywood E, Bazzano A, et al. Association between hemoglobin A1c and stroke
risk in patients with type 2 diabetes
. J Stroke
159. Cheng YY, Leu HB, Chen TJ, Chen CL, Kuo CH, Lee SD, et al. Metformin-inclusive therapy reduces the risk of stroke
in patients with diabetes: a 4-year follow-up study. J Stroke
Cerebrovasc Dis 2014;23:e99–105.
160. Chien LN, Chou CL, Chen HH, Kao CC, Lin YC, Wu YL, et al. Association between stroke
risk and metformin use in hemodialysis patients with diabetes mellitus: a nested case-control study. J Am Heart Assoc 2017;6:e007611.
161. Mima Y, Kuwashiro T, Yasaka M, Tsurusaki Y, Nakamura A, Wakugawa Y, et al. Impact of metformin on the severity and outcomes of acute ischemic stroke
in patients with type 2 diabetes
mellitus. J Stroke
Cerebrovasc Dis 2016;25:436–46.
162. Filion KB, Douros A, Azoulay L, Yin H, Yu OH, Suissa S. Sulfonylureas as initial treatment for type 2 diabetes
and the risk of adverse cardiovascular events: a population-based cohort study. Br J Clin Pharmacol 2019;85:2378–89.
163. Roumie CL, Chipman J, Min JY, Hackstadt AJ, Hung AM, Greevy RA, et al. Association of treatment with metformin vs sulfonylurea with major adverse cardiovascular events among patients with diabetes and reduced kidney function. JAMA 2019;322:1167.
164. Scheen AJ. Drug interactions of clinical importance with antihyperglycaemic agents: an update. Drug Saf 2005;28:601–31.
165. Hsu PF, Sung SH, Cheng HM, Shin SJ, Lin KD, Chong K, et al. Cardiovascular benefits of acarbose vs sulfonylureas in patients with type 2 diabetes
treated with metformin. J Clin Endocrinol Metab 2018;103:3611–9.
166. Tanaka R, Yamashiro K, Okuma Y, Shimura H, Nakamura S, Ueno Y, et al. Effects of pioglitazone for secondary stroke
prevention in patients with impaired glucose tolerance and newly diagnosed diabetes: The J-SPIRIT study. J Atheroscler Thromb 2015;22:1305–16.
167. Lee M, Saver JL, Liao HW, Lin CH, Ovbiagele B. Pioglitazone for secondary stroke
prevention: a systematic review and meta-analysis. Stroke
168. Yaghi S, Furie KL, Viscoli CM, Kamel H, Gorman M, Dearborn J, et al.; IRIS Trial Investigators. Pioglitazone prevents stroke
in patients with a recent transient ischemic attack or ischemic stroke
: a planned secondary analysis of the IRIS trial (Insulin Resistance Intervention After Stroke
). Circulation 2018;137:455–63.
169. Sacco RL, Kasner SE, Broderick JP, Caplan LR, Connors JJ, Culebras A, et al.; American Heart Association Stroke
Council, Council on Cardiovascular Surgery and Anesthesia; Council on Cardiovascular Radiology and Intervention; Council on Cardiovascular and Stroke
Nursing; Council on Epidemiology and Prevention; Council on Peripheral Vascular Disease; Council on Nutrition, Physical Activity and Metabolism. An updated definition of stroke
for the 21 century: a statement for healthcare professionals from the American Heart Association/American Stroke
170. Spence JD, Viscoli CM, Inzucchi SE, Dearborn-Tomazos J, Ford GA, Gorman M, et al.; IRIS Investigators. Pioglitazone Therapy in Patients With Stroke
and Prediabetes: A Post Hoc Analysis of the IRIS Randomized Clinical Trial. JAMA Neurol 2019;76:526–35.
171. Woo MH, Lee HS, Kim J. Effect of pioglitazone in acute ischemic stroke
patients with diabetes mellitus: a nested case-control study. Cardiovasc Diabetol 2019;18:67.
172. Gallwitz B, Rosenstock J, Rauch T, Bhattacharya S, Patel S, von Eynatten M, et al. 2-year efficacy and safety of linagliptin compared with glimepiride in patients with type 2 diabetes
inadequately controlled on metformin: a randomised, double-blind, non-inferiority trial. Lancet 2012;380:475–83.
173. Barkas F, Elisaf M, Tsimihodimos V, Milionis H. Dipeptidyl peptidase-4 inhibitors and protection against stroke
: a systematic review and meta-analysis. Diabetes Metab 2017;43:1–8.
174. Yang TY, Liaw YP, Huang JY, Chang HR, Chang KW, Ueng KC. Association of sitagliptin with cardiovascular outcome in diabetic patients: a nationwide cohort study. Acta Diabetol 2016;53:461–8.
175. Ou HT, Chang KC, Li CY, Wu JS. Comparative cardiovascular risks of dipeptidyl peptidase 4 inhibitors with other second- and third-line antidiabetic drugs in patients with type 2 diabetes
. Br J Clin Pharmacol 2017;83:1556–70.
176. Chen DY, Wang SH, Mao CT, Tsai ML, Lin YS, Su FC, et al. Sitagliptin after ischemic stroke
in type 2 diabetic patients: a nationwide cohort study. Medicine (Baltimore) 2015;94:e1128.
177. Li YR, Tsai SS, Chen DY, Chen ST, Sun JH, Chang HY, et al. Linagliptin and cardiovascular outcomes in type 2 diabetes
after acute coronary syndrome or acute ischemic stroke
. Cardiovasc Diabetol 2018;17:2.
178. Liang CY, Chen DY, Mao CT, Hsieh IC, Hung MJ, Wang CH, et al. Cardiovascular risk of sitagliptin in ischemic stroke
patients with type 2 diabetes
and chronic kidney disease
: a nationwide cohort study. Medicine (Baltimore) 2018;97:e13844.
179. Verma S, Poulter NR, Bhatt DL, Bain SC, Buse JB, Leiter LA, et al. Effects of liraglutide on cardiovascular outcomes in patients with type 2 diabetes
mellitus with or without history of myocardial infarction or stroke
. Circulation 2018;138:2884–94.
180. Svanström H, Ueda P, Melbye M, Eliasson B, Svensson AM, Franzén S, et al. Use of liraglutide and risk of major cardiovascular events: a register-based cohort study in Denmark and Sweden. Lancet Diabetes Endocrinol 2019;7:106–14.
181. Kang YM, Cho YK, Lee J, Lee SE, Lee WJ, Park JY, et al. Asian subpopulations may exhibit greater cardiovascular benefit from long-acting glucagon-like peptide 1 receptor agonists: a meta-analysis of cardiovascular outcome trials. Diabetes Metab J 2019;43:410–21.
182. Zinman B, Inzucchi SE, Lachin JM, Wanner C, Fitchett D, Kohler S, et al.; EMPA-REG OUTCOME Investigators (Empagliflozin Cardiovascular Outcome Event Trial in Type 2 Diabetes
Mellitus Patients). Empagliflozin and cerebrovascular events in patients with type 2 diabetes
mellitus at high cardiovascular risk. Stroke
183. Zhou Z, Lindley RI, Rådholm K, Jenkins B, Watson J, Perkovic V, et al. Canagliflozin and stroke
in type 2 diabetes
184. Sonesson C, Johansson PA, Johnsson E, Gause-Nilsson I. Cardiovascular effects of dapagliflozin in patients with type 2 diabetes
and different risk categories: a meta-analysis. Cardiovasc Diabetol 2016;15:37.
185. Zhang XL, Zhu QQ, Chen YH, Li XL, Chen F, Huang JA, et al. Cardiovascular safety, long-term noncardiovascular safety, and efficacy of sodium-glucose cotransporter 2 inhibitors in patients with type 2 diabetes
mellitus: a systemic review and meta-analysis with trial sequential analysis. J Am Heart Assoc 2018;7:e007165.
186. Usman MS, Siddiqi TJ, Memon MM, Khan MS, Rawasia WF, Talha Ayub M, et al. Sodium-glucose co-transporter 2 inhibitors and cardiovascular outcomes: a systematic review and meta-analysis. Eur J Prev Cardiol 2018;25:495–502.
187. Zou CY, Liu XK, Sang YQ, Wang B, Liang J. Effects of SGLT2 inhibitors on cardiovascular outcomes and mortality in type 2 diabetes
: a meta-analysis. Medicine (Baltimore) 2019;98:e18245.
188. Birkeland KI, Jørgensen ME, Carstensen B, Persson F, Gulseth HL, Thuresson M, et al. Cardiovascular mortality and morbidity in patients with type 2 diabetes
following initiation of sodium-glucose co-transporter-2 inhibitors versus other glucose-lowering drugs (CVD-REAL Nordic): a multinational observational analysis. Lancet Diabetes Endocrinol 2017;5:709–17.
189. Kosiborod M, Birkeland KI, Cavender MA, Fu AZ, Wilding JP, Khunti K, et al.; CVD-REAL Investigators and Study Group. Rates of myocardial infarction and stroke
in patients initiating treatment with SGLT2-inhibitors versus other glucose-lowering agents in real-world clinical practice: Results from the CVD-REAL study. Diabetes Obes Metab 2018;20:1983–7.
190. Kosiborod M, Lam CSP, Kohsaka S, Kim DJ, Karasik A, Shaw J, et al.; CVD-REAL Investigators and Study Group. Cardiovascular events associated with SGLT-2 inhibitors versus other glucose-lowering drugs: the CVD-REAL 2 study. J Am Coll Cardiol 2018;71:2628–39.
191. Jia G, Hill MA, Sowers JR. Diabetic cardiomyopathy: an update of mechanisms contributing to this clinical entity. Circ Res 2018;122:624–38.
192. Marwick TH, Ritchie R, Shaw JE, Kaye D. Implications of underlying mechanisms for the recognition and management of diabetic cardiomyopathy. J Am Coll Cardiol 2018;71:339–51.
193. Dillmann WH. Diabetic cardiomyopathy. Circ Res 2019;124:1160–2.
194. Zelniker TA, Braunwald E. Mechanisms of cardiorenal effects of sodium-glucose cotransporter 2 inhibitors: JACC state-of-the-art review. J Am Coll Cardiol 2020;75:422–34.
195. Kannel WB, McGee DL. Diabetes and cardiovascular disease. The Framingham study. JAMA 1979;241:2035–8.
196. Nichols GA, Gullion CM, Koro CE, Ephross SA, Brown JB. The incidence of congestive heart failure
in type 2 diabetes
: an update. Diabetes Care 2004;27:1879–84.
197. Iribarren C, Karter AJ, Go AS, Ferrara A, Liu JY, Sidney S, et al. Glycemic control and heart failure
among adult patients with diabetes. Circulation 2001;103:2668–73.
198. Shah AD, Langenberg C, Rapsomaniki E, Denaxas S, Pujades-Rodriguez M, Gale CP, et al. Type 2 diabetes
and incidence of cardiovascular diseases: a cohort study in 1·9 million people. Lancet Diabetes Endocrinol 2015;3:105–13.
199. McMurray JJ, Gerstein HC, Holman RR, Pfeffer MA. Heart failure
: a cardiovascular outcome in diabetes that can no longer be ignored. Lancet Diabetes Endocrinol 2014;2:843–51.
200. Bertoni AG, Hundley WG, Massing MW, Bonds DE, Burke GL, Goff DC Jr. Heart failure
prevalence, incidence, and mortality in the elderly with diabetes. Diabetes Care 2004;27:699–703.
201. Guglin M, Villafranca A, Morrison A. Cardiogenic diabetes. Heart Fail Rev 2014;19:595–602.
202. Guglin M, Lynch K, Krischer J. Heart failure
as a risk factor
for diabetes mellitus. Cardiology 2014;129:84–92.
203. Seferović PM, Petrie MC, Filippatos GS, Anker SD, Rosano G, Bauersachs J, et al. Type 2 diabetes
mellitus and heart failure
: a position statement from the Heart Failure
Association of the European Society of Cardiology. Eur J Heart Fail 2018;20:853–72.
204. Chia YMF, Teng TK, Tay WT, Anand I, MacDonald MR, Yap J, et al.; ASIAN-HF Investigators. Prescription patterns of anti-diabetic medications and clinical outcomes in Asian patients with heart failure
and diabetes mellitus. Eur J Heart Fail 2019;21:685–8.
205. Greenberg BH, Abraham WT, Albert NM, Chiswell K, Clare R, Stough WG, et al. Influence of diabetes on characteristics and outcomes in patients hospitalized with heart failure
: a report from the Organized Program to Initiate Lifesaving Treatment in Hospitalized Patients with Heart Failure
(OPTIMIZE-HF). Am Heart J 2007;154:277.e1–8.
206. Sarma S, Mentz RJ, Kwasny MJ, Fought AJ, Huffman M, Subacius H, et al.; EVEREST investigators. Association between diabetes mellitus and post-discharge outcomes in patients hospitalized with heart failure
: findings from the EVEREST trial. Eur J Heart Fail 2013;15:194–202.
207. Echouffo-Tcheugui JB, Xu H, DeVore AD, Schulte PJ, Butler J, Yancy CW, et al. Temporal trends and factors associated with diabetes mellitus among patients hospitalized with heart failure
: Findings from Get With The Guidelines-Heart Failure
registry. Am Heart J 2016;182:9–20.
208. Wang CC, Chang HY, Yin WH, Wu YW, Chu PH, Wu CC, et al. TSOC-HFrEF registry: a registry of hospitalized patients with decompensated systolic heart failure
: description of population and management. Acta Cardiol Sin 2016;32:400–11.
209. Bell DS. Heart failure
: the frequent, forgotten, and often fatal complication of diabetes. Diabetes Care 2003;26:2433–41.
210. Cavender MA, Steg PG, Smith SC Jr, Eagle K, Ohman EM, Goto S, et al.; REACH Registry Investigators. Impact of diabetes mellitus on hospitalization for heart failure
, cardiovascular events, and death: outcomes at 4 years from the reduction of atherothrombosis for continued health (REACH) registry. Circulation 2015;132:923–31.
211. Scirica BM, Braunwald E, Raz I, Cavender MA, Morrow DA, Jarolim P, et al.; SAVOR-TIMI 53 Steering Committee and Investigators*. Heart failure
, saxagliptin, and diabetes mellitus: observations from the SAVOR-TIMI 53 randomized trial. Circulation 2014;130:1579–88.
212. Fitchett D, Zinman B, Wanner C, Lachin JM, Hantel S, Salsali A, et al.; EMPA-REG OUTCOME® trial investigators. Heart failure
outcomes with empagliflozin in patients with type 2 diabetes
at high cardiovascular risk: results of the EMPA-REG OUTCOME® trial. Eur Heart J 2016;37:1526–34.
213. Cubbon RM, Adams B, Rajwani A, Mercer BN, Patel PA, Gherardi G, et al. Diabetes mellitus is associated with adverse prognosis in chronic heart failure
of ischaemic and non-ischaemic aetiology. Diab Vasc Dis Res 2013;10:330–6.
214. Kristensen SL, Preiss D, Jhund PS, Squire I, Cardoso JS, Merkely B, et al. Risk related to pre-diabetes mellitus and diabetes mellitus in heart failure
with reduced ejection fraction: insights from prospective comparison of ARNI with ACEI to determine impact on global mortality and morbidity in heart failure
trial. Circ Heart Fail 2016;9:e002560.
215. Aguilar D, Bozkurt B, Ramasubbu K, Deswal A. Relationship of hemoglobin A1C and mortality in heart failure
patients with diabetes. J Am Coll Cardiol 2009;54:422–8.
216. Tomova GS, Nimbal V, Horwich TB. Relation between hemoglobin a(1c) and outcomes in heart failure
patients with and without diabetes mellitus. Am J Cardiol 2012;109:1767–73.
217. Elder DH, Singh JS, Levin D, Donnelly LA, Choy AM, George J, et al. Mean HbA1c and mortality in diabetic individuals with heart failure
: a population cohort study. Eur J Heart Fail 2016;18:94–102.
218. Petrie MC, Verma S, Docherty KF, Inzucchi SE, Anand I, Belohlávek J, et al. Effect of dapagliflozin on worsening heart failure
and cardiovascular death in patients with heart failure
with and without diabetes. JAMA 2020;323:135368.
219. Eurich DT, Weir DL, Majumdar SR, Tsuyuki RT, Johnson JA, Tjosvold L, et al. Comparative safety and effectiveness of metformin in patients with diabetes mellitus and heart failure
: systematic review of observational studies involving 34,000 patients. Circ Heart Fail 2013;6:395–402.
220. Crowley MJ, Diamantidis CJ, McDuffie JR, Cameron CB, Stanifer JW, Mock CK, et al. Clinical outcomes of metformin use in populations with chronic kidney disease
, congestive heart failure
, or chronic liver disease: a systematic review. Ann Intern Med 2017;166:191–200.
221. Cioffi G, Faggiano P, Lucci D, Maggioni AP, Manicardi V, Travaglini A, et al. Left ventricular dysfunction and outcome at two-year follow-up in patients with type 2 diabetes
: The DYDA study. Diabetes Res Clin Pract 2013;101:236–42.
222. Lee YC, Chang CH, Dong YH, Lin JW, Wu LC, Hwang JS, et al. Comparing the risks of hospitalized heart failure
associated with glinide, sulfonylurea, and acarbose use in type 2 diabetes
: A nationwide study. Int J Cardiol 2017;228:1007–14.
223. Fu Y, Gerasimova M, Batz F, Kuczkowski A, Alam Y, Sanders PW, et al. PPARγ agonist-induced fluid retention depends on αENaC expression in connecting tubules. Nephron 2015;129:68–74.
224. Dargie HJ, Hildebrandt PR, Riegger GA, McMurray JJ, McMorn SO, Roberts JN, et al. A randomized, placebo-controlled trial assessing the effects of rosiglitazone on echocardiographic function and cardiac status in type 2 diabetic patients with New York Heart Association Functional Class I or II Heart Failure
. J Am Coll Cardiol 2007;49:1696–704.
225. Gerstein HC, Yusuf S, Bosch J, Pogue J, Sheridan P, Dinccag N, et al. Effect of rosiglitazone on the frequency of diabetes in patients with impaired glucose tolerance or impaired fasting glucose: a randomised controlled trial. Lancet 2006;368:1096–105.
226. Komajda M, McMurray JJ, Beck-Nielsen H, Gomis R, Hanefeld M, Pocock SJ, et al. Heart failure
events with rosiglitazone in type 2 diabetes
: data from the RECORD clinical trial. Eur Heart J 2010;31:824–31.
227. Singh S, Loke YK, Furberg CD. Long-term risk of cardiovascular events with rosiglitazone: a meta-analysis. JAMA 2007;298:1189–95.
228. Udell JA, Cavender MA, Bhatt DL, Chatterjee S, Farkouh ME, Scirica BM. Glucose-lowering drugs or strategies and cardiovascular outcomes in patients with or at risk for type 2 diabetes
: a meta-analysis of randomised controlled trials. Lancet Diabetes Endocrinol 2015;3:356–66.
229. Skøtt P, Hother-Nielsen O, Bruun NE, Giese J, Nielsen MD, Beck-Nielsen H, et al. Effects of insulin on kidney function and sodium excretion in healthy subjects. Diabetologia 1989;32:694–9.
230. Group TBDS. A randomized trial of therapies for type 2 diabetes
and coronary artery disease. N Engl J Med 2009;360:2503–15.
231. Pocock SJ, Wang D, Pfeffer MA, Yusuf S, McMurray JJ, Swedberg KB, et al. Predictors of mortality and morbidity in patients with chronic heart failure
. Eur Heart J 2006;27:65–75.
232. Eurich DT, McAlister FA, Blackburn DF, Majumdar SR, Tsuyuki RT, Varney J, et al. Benefits and harms of antidiabetic agents
in patients with diabetes and heart failure
: systematic review. BMJ 2007;335:497.
233. Packer M. Do DPP-4 inhibitors cause heart failure
events by promoting adrenergically mediated cardiotoxicity? Clues from laboratory models and clinical trials. Circ Res 2018;122:928–32.
234. Zannad F, Cannon CP, Cushman WC, Bakris GL, Menon V, Perez AT, et al.; EXAMINE Investigators. Heart failure
and mortality outcomes in patients with type 2 diabetes
taking alogliptin versus placebo in EXAMINE: a multicentre, randomised, double-blind trial. Lancet 2015;385:2067–76.
235. McMurray JJV, Ponikowski P, Bolli GB, Lukashevich V, Kozlovski P, Kothny W, et al.; VIVIDD Trial Committees and Investigators. Effects of vildagliptin on ventricular function in patients with type 2 diabetes
mellitus and heart failure
: a randomized placebo-controlled trial. JACC Heart Fail 2018;6:8–17.
236. McGuire DK, Van de Werf F, Armstrong PW, Standl E, Koglin J, Green JB, et al.; Trial Evaluating Cardiovascular Outcomes With Sitagliptin (TECOS) Study Group. Association between sitagliptin use and heart failure
hospitalization and related outcomes in type 2 diabetes
mellitus: secondary analysis of a randomized clinical rrial. JAMA Cardiol 2016;1:126–35.
237. McGuire DK, Alexander JH, Johansen OE, Perkovic V, Rosenstock J, Cooper ME, et al.; CARMELINA Investigators. Linagliptin effects on heart failure
and related outcomes in individuals with type 2 diabetes
mellitus at high cardiovascular and renal risk in CARMELINA. Circulation 2019;139:351–61.
238. Margulies KB, Hernandez AF, Redfield MM, Givertz MM, Oliveira GH, Cole R, et al.; NHLBI Heart Failure
Clinical Research Network. Effects of liraglutide on clinical stability among patients with advanced heart failure
and reduced ejection fraction: a randomized clinical trial. JAMA 2016;316:500–8.
239. Martinez FA, Serenelli M, Nicolau JC, Petrie MC, Chiang CE, Tereshchenko S, et al. Efficacy and safety of dapagliflozin in heart failure
with reduced ejection fraction according to age: insights from DAPA-HF. Circulation 2020;141:100–11.
240. Kosiborod MN, Jhund PS, Docherty KF, Diez M, Petrie MC, Verma S, et al. Effects of dapagliflozin on symptoms, function, and quality of life in patients with heart failure
and reduced ejection fraction: results from the DAPA-HF trial. Circulation 2020;141:90–9.
241. Wu JH, Foote C, Blomster J, Toyama T, Perkovic V, Sundström J, et al. Effects of sodium-glucose cotransporter-2 inhibitors on cardiovascular events, death, and major safety outcomes in adults with type 2 diabetes
: a systematic review and meta-analysis. Lancet Diabetes Endocrinol 2016;4:411–9.
242. Kosiborod M, Cavender MA, Fu AZ, Wilding JP, Khunti K, Holl RW, et al.; CVD-REAL Investigators and Study Group*. Lower risk of heart failure
and death in patients initiated on sodium-glucose cotransporter-2 inhibitors versus other glucose-lowering drugs: the CVD-REAL study (Comparative Effectiveness of Cardiovascular Outcomes in New Users of Sodium-Glucose Cotransporter-2 Inhibitors). Circulation 2017;136:249–59.
243. Verma S, McMurray JJV, Cherney DZI. The metabolodiuretic promise of sodium-dependent glucose cotransporter 2 inhibition: the search for the sweet spot in heart failure
. JAMA Cardiol 2017;2:939–40.
244. Weidmann P, Ferrari P. Central role of sodium in hypertension in diabetic subjects. Diabetes Care 1991;14:220–32.
245. Bays H. From victim to ally: the kidney as an emerging target for the treatment of diabetes mellitus. Curr Med Res Opin 2009;25:671–81.
246. Ferrannini ESolini A. SGLT2 inhibition in diabetes mellitus: rationale and clinical prospects. Nat Rev Endocrinol 2012;8:495502.
247. Bakris GL, Fonseca VA, Sharma K, Wright EM. Renal sodium-glucose transport: role in diabetes mellitus and potential clinical implications. Kidney Int 2009;75:1272–7.
248. Rajasekeran H, Lytvyn Y, Cherney DZ. Sodium-glucose cotransporter 2 inhibition and cardiovascular risk reduction in patients with type 2 diabetes
: the emerging role of natriuresis. Kidney Int 2016;89:524–6.
249. Sattar N, Petrie MC, Zinman B, Januzzi JL Jr. Novel diabetes drugs and the cardiovascular specialist. J Am Coll Cardiol 2017;69:2646–56.
250. Kario K, Okada K, Kato M, Nishizawa M, Yoshida T, Asano T, et al. 24-Hour blood pressure-lowering effect of an SGLT-2 inhibitor in patients with diabetes and uncontrolled nocturnal hypertension: results from the randomized, placebo-controlled SACRA study. Circulation 2018;139:208997.
251. Titze J. A different view on sodium balance. Curr Opin Nephrol Hypertens 2015;24:14–20.
252. Karg MV, Bosch A, Kannenkeril D, Striepe K, Ott C, Schneider MP, et al. SGLT-2-inhibition with dapagliflozin reduces tissue sodium content: a randomised controlled trial. Cardiovasc Diabetol 2018;17:5.
253. Verma S, McMurray JJV. SGLT2 inhibitors and mechanisms of cardiovascular benefit: a state-of-the-art review. Diabetologia 2018;61:2108–17.
254. Hallow KM, Helmlinger G, Greasley PJ, McMurray JJV, Boulton DW. Why do SGLT2 inhibitors reduce heart failure
hospitalization? A differential volume regulation hypothesis. Diabetes Obes Metab 2018;20:479–87.
255. Verma S, Garg A, Yan AT, Gupta AK, Al-Omran M, Sabongui A, et al. Effect of empagliflozin on left ventricular mass and diastolic function in individuals with diabetes: an important clue to the EMPA-REG OUTCOME trial? Diabetes Care 2016;39:e212–3.
256. Uthman L, Baartscheer A, Bleijlevens B, Schumacher CA, Fiolet JWT, Koeman A, et al. Class effects of SGLT2 inhibitors in mouse cardiomyocytes and hearts: inhibition of Na+/H+ exchanger, lowering of cytosolic Na+ and vasodilation. Diabetologia 2018;61:722–6.
257. Uthman L, Nederlof R, Eerbeek O, Baartscheer A, Schumacher C, Buchholtz N, et al. Delayed ischaemic contracture onset by empagliflozin associates with NHE1 inhibition and is dependent on insulin in isolated mouse hearts. Cardiovasc Res 2019;115:1533–45.
258. Baartscheer A, Schumacher CA, Wüst RC, Fiolet JW, Stienen GJ, Coronel R, et al. Empagliflozin decreases myocardial cytoplasmic Na+ through inhibition of the cardiac Na+/H+ exchanger in rats and rabbits. Diabetologia 2017;60:568–73.
259. Packer M. Reconceptualization of the molecular mechanism by which sodium-glucose cotransporter 2 inhibitors reduce the risk of heart failure
events. Circulation 2019;140:443–5.
260. Cherney DZ, Perkins BA, Soleymanlou N, Har R, Fagan N, Johansen OE, et al. The effect of empagliflozin on arterial stiffness and heart rate variability in subjects with uncomplicated type 1 diabetes mellitus. Cardiovasc Diabetol 2014;13:28.
261. Ferrannini E, Mark M, Mayoux E. CV protection in the EMPA-REG OUTCOME trial: A “thrifty substrate” hypothesis. Diabetes Care 2016;39:1108–14.
262. Mudaliar S, Alloju S, Henry RR. Can a shift in fuel energetics explain the beneficial cardiorenal outcomes in the EMPA-REG OUTCOME study? A unifying hypothesis. Diabetes Care 2016;39:1115–22.
263. Seferović PM, Coats AJS, Ponikowski P, Filippatos G, Huelsmann M, Jhund PS, et al. European society of cardiology/heart failure
association position paper on the role and safety of new glucose-lowering drugs in patients with heart failure
. Eur J Heart Fail 2020;22:196–213.
264. Chan SP, Ji LN, Nitiyanant W, Baik SH, Sheu WH. Hypoglycemic symptoms in patients with type 2 diabetes
in Asia-Pacific-real-life effectiveness and care patterns of diabetes management: the RECAP-DM study. Diabetes Res Clin Pract 2010;89:e30–2.
265. Chen YJ, Yang CC, Huang LC, Chen L, Hwu CM. Increasing trend in emergency department visits for hypoglycemia from patients with type 2 diabetes
mellitus in Taiwan. Prim Care Diabetes 2015;9:490–6.
266. Yeh JS, Sung SH, Huang HM, Yang HL, You LK, Chuang SY, et al. Hypoglycemia and risk of vascular events and mortality: a systematic review and meta-analysis. Acta Diabetol 2016;53:377–92.
267. Garber AJ, Abrahamson MJ, Barzilay JI, Blonde L, Bloomgarden ZT, Bush MA, et al. Consensus statement by the American Association of Clinical Endocrinologists and American College of Endocrinology on the comprehensive type 2 diabetes
management algorithm—2017 executive summary. Endocr Pract 2017;23:207–38.
268. Wu PC, Wu VC, Lin CJ, Pan CF, Chen CY, Huang TM, et al.; NRPB Kidney Consortium. Meglitinides increase the risk of hypoglycemia in diabetic patients with advanced chronic kidney disease
: a nationwide, population-based study. Oncotarget 2017;8:78086–95.
269. Liu SC, Tu YK, Chien MN, Chien KL. Effect of antidiabetic agents
added to metformin on glycaemic control, hypoglycaemia and weight change in patients with type 2 diabetes
: a network meta-analysis. Diabetes Obes Metab 2012;14:810–20.
270. Wang JS, Huang CN, Hung YJ, Kwok CF, Sun JH, Pei D, et al.; acarbose/metformin fixed-dose combination study investigators. Acarbose plus metformin fixed-dose combination outperforms acarbose monotherapy for type 2 diabetes
. Diabetes Res Clin Pract 2013;102:16–24.
271. Sheu WH, Park SW, Gong Y, Pinnetti S, Bhattacharya S, Patel S, et al. Linagliptin improves glycemic control after 1 year as add-on therapy to basal insulin in Asian patients with type 2 diabetes
mellitus. Curr Med Res Opin 2015;31:503–12.
272. Ou HT, Chang KC, Li CY, Wu JS. Risks of cardiovascular diseases associated with dipeptidyl peptidase-4 inhibitors and other antidiabetic drugs in patients with type 2 diabetes
: a nation-wide longitudinal study. Cardiovasc Diabetol 2016;15:41.
273. Lu CH, Wu TJ, Shih KC, Ni E, Reed V, Yu M, et al. Safety and efficacy of twice-daily exenatide in Taiwanese patients with inadequately controlled type 2 diabetes
mellitus. J Formos Med Assoc 2013;112:144–50.
274. Dave CV, Schneeweiss S, Kim D, Fralick M, Tong A, Patorno E. Sodium-glucose cotransporter-2 inhibitors and the risk for severe urinary tract infections: a population-based cohort study. Ann Intern Med 2019;171:248–56.
275. Smith GL, Bunker CB, Dinneen MD. Fournier’s gangrene. Br J Urol 1998;81:347–55.
276. Bersoff-Matcha SJ, Chamberlain C, Cao C, Kortepeter C, Chong WH. Fournier gangrene associated with sodium-glucose cotransporter-2 inhibitors: a review of spontaneous postmarketing cases. Ann Intern Med 2019;170:764–9.
277. Wang T, Patel SM, Hickman A, Liu X, Jones PL, Gantz I, et al. SGLT2 Inhibitors and the risk of hospitalization for Fournier’s gangrene: a nested case-control study. Diabetes Ther 2020;11:711–23.
278. Yang JY, Wang T, Pate V, Buse JB, Stürmer T. Real-world evidence on sodium-glucose cotransporter-2 inhibitor use and risk of Fournier’s gangrene. BMJ Open Diabetes Res Care 2020;8:e000985.
279. Raschi E, Parisotto M, Forcesi E, La Placa M, Marchesini G, De Ponti F, et al. Adverse events with sodium-glucose co-transporter-2 inhibitors: A global analysis of international spontaneous reporting systems. Nutr Metab Cardiovasc Dis 2017;27:1098–107.
280. Nadkarni GN, Ferrandino R, Chang A, Surapaneni A, Chauhan K, Poojary P, et al. Acute kidney injury in patients on SGLT2 inhibitors: a propensity-matched analysis. Diabetes Care 2017;40:1479–85.
281. Fadini GP, Bonora BM, Avogaro A. SGLT2 inhibitors and diabetic ketoacidosis: data from the FDA Adverse Event Reporting System. Diabetologia 2017;60:1385–9.
282. Fralick M, Schneeweiss S, Patorno E. Risk of diabetic ketoacidosis after initiation of an SGLT2 inhibitor. N Engl J Med 2017;376:2300–2.
283. Rosenstock JFerrannini E. Euglycemic diabetic ketoacidosis: a predictable, detectable, and preventable safety concern with SGLT2 inhibitors. Diabetes Care 2015;38:1638–42.
284. Burke KR, Schumacher CA, Harpe SE. SGLT2 inhibitors: a systematic review of diabetic ketoacidosis and related risk factors in the primary literature. Pharmacotherapy 2017;37:187–94.
285. Ogawa W, Sakaguchi K. Euglycemic diabetic ketoacidosis induced by SGLT2 inhibitors: possible mechanism and contributing factors. J Diabetes Investig 2016;7:135–8.
286. Lytvyn Y, Bjornstad P, Udell JA, Lovshin JA, Cherney DZI. Sodium Glucose Cotransporter-2 Inhibition in Heart Failure
: Potential Mechanisms, Clinical Applications, and Summary of Clinical Trials. Circulation 2017;136:1643–58.
287. Fadini GP, Avogaro A. SGLT2 inhibitors and amputations in the US FDA Adverse Event Reporting System. Lancet Diabetes Endocrinol 2017;5:680–1.
288. Inzucchi SE, Iliev H, Pfarr E, Zinman B. Empagliflozin and Assessment of Lower-Limb Amputations in the EMPA-REG OUTCOME Trial. Diabetes Care 2018;41:e4–5.
289. Russo GT, Giandalia A, Romeo EL, Nunziata M, Muscianisi M, Ruffo MC, et al. Fracture Risk in Type 2 Diabetes
: Current Perspectives and Gender Differences. Int J Endocrinol 2016;2016:1615735.
290. Kahn SE, Haffner SM, Heise MA, Herman WH, Holman RR, Jones NP, et al.; ADOPT Study Group. Glycemic durability of rosiglitazone, metformin, or glyburide monotherapy. N Engl J Med 2006;355:2427–43.
291. Bilezikian JP, Watts NB, Usiskin K, Polidori D, Fung A, Sullivan D, et al. Evaluation of bone mineral density and bone biomarkers in patients with type 2 diabetes
treated with canagliflozin. J Clin Endocrinol Metab 2016;101:44–51.
292. Watts NB, Bilezikian JP, Usiskin K, Edwards R, Desai M, Law G, et al. Effects of canagliflozin on fracture risk in patients with type 2 diabetes
mellitus. J Clin Endocrinol Metab 2016;101:157–66.
293. Mahaffey KW, Jardine MJ, Bompoint S, Cannon CP, Neal B, Heerspink HJL, et al. Canagliflozin and cardiovascular and renal outcomes in type 2 diabetes
mellitus and chronic kidney disease
in primary and secondary cardiovascular prevention groups. Circulation 2019;140:739–50.