Albuminuria Changes and Cardiovascular and Renal Outcomes in Type 1 Diabetes: The DCCT/EDIC Study : Clinical Journal of the American Society of Nephrology

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Original Articles: Diabetes and the kidney

Albuminuria Changes and Cardiovascular and Renal Outcomes in Type 1 Diabetes: The DCCT/EDIC Study

de Boer, Ian H.*; Gao, Xiaoyu; Cleary, Patricia A.; Bebu, Ionut; Lachin, John M.; Molitch, Mark E.; Orchard, Trevor§; Paterson, Andrew D.; Perkins, Bruce A.; Steffes, Michael W.**; Zinman, Bernard††;  for the Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications (DCCT/EDIC) Research Group

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Clinical Journal of the American Society of Nephrology 11(11):p 1969-1977, November 2016. | DOI: 10.2215/CJN.02870316
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Abstract

Introduction

Albuminuria is strongly associated with the progression of CKD as well as cardiovascular disease (CVD) (1). However, urine albumin excretion is not static. For example, microalbuminuria (albumin excretion rate [AER] of 30–299 mg/d) can progress to macroalbuminuria (AER≥300 mg/d) or remit to normoalbuminuria (AER<30 mg/d), with or without renin-angiotensin system (RAS) inhibition (2–4). Similarly, macroalbuminuria can remit to microalbuminuria and even normoalbuminuria (3).

In clinical trials, changes in albuminuria correlate with renal and cardiovascular risk (5–8), supporting the viewpoint that albuminuria be considered a therapeutic target in clinical care and surrogate outcome in clinical trials (9–11). However, the predominant evidence supporting this argument comes from trials of people with type 2 diabetes and very high baseline urine albumin excretion treated with RAS inhibitors. It remains unclear whether changes in albumin are associated with improved clinical outcomes in other populations, at lower levels of urine albumin excretion, or outside the setting of RAS blockade.

We tested whether changes in urine albumin excretion were associated with differences in renal and cardiovascular risk in a well characterized cohort of type 1 diabetes. Up to 60% of patients with type 1 diabetes develop microalbuminuria, among whom similar proportions remit to normoalbuminuria or progress to more advanced stages of CKD (4,12). We hypothesized that progression and remission of microalbuminuria would be associated with higher and lower long-term risks, respectively, of adverse cardiovascular and renal outcomes.

Materials and Methods

Study Population

The Diabetes Control and Complications Trial (DCCT) enrolled 1441 persons with type 1 diabetes from 1983 to 1989 to determine the effects of intensive diabetes therapy on the long-term complications of diabetes (13). The trial included two cohorts. The primary prevention cohort was characterized by diabetes duration of 1–5 years, AER<40 mg/24 h, and no retinopathy by fundus photography. The secondary intervention cohort was characterized by diabetes duration of 1–15 years, AER≤200 mg/24 h, and at least one microaneurysm in either eye (but no more than moderate nonproliferative retinopathy). For both cohorts, serum creatinine <1.2 mg/dl or creatinine clearance >100 ml/min per 1.73 m2 was required for eligibility.

Participants were randomly assigned to intensive diabetes therapy, aimed at lowering glucose concentrations as close as safely possible to the normal range, or to conventional therapy, aimed at preventing symptoms of hyperglycemia and hypoglycemia. In 1994, after completion of the DCCT, 1375 participants (96% of the surviving cohort) agreed to participate in the Epidemiology of Diabetes Interventions and Complications (EDIC) study. During the EDIC study, diabetes therapy and glycemic control as measured by hemoglobin A1c (HbA1c) became similar in the two original DCCT treatment groups, and yearly follow-up has continued through the present time (14). This study includes data from all participants collected through May 1, 2014 (EDIC study year 21).

Albuminuria

AER was measured yearly during the DCCT and every 2 years during the EDIC study. All assays were completed at the DCCT/EDIC Central Biochemistry Laboratory. From DCCT baseline through EDIC study year 18 (calendar year 2012), urine was collected for 4 hours during a water diuresis and albumin was measured by fluoroimmunoassay (coefficient of variation, 9.4%) (15). Starting in EDIC study year 19, spot urine samples were collected, urine albumin was measured using an immunoturbidimetric method, and a formula developed and validated in the EDIC study was used to estimate AER from urine albumin and creatinine concentrations (16).

For each participant, at the time of each urine collection, albuminuria status could be reclassified on the basis of their AER history into one of four mutually exclusive categories (normoalbuminuria, sustained microalbuminuria, remitted microalbuminuria, and macroalbuminuria), defined in a manner consistent with our prior work (Figure 1) (17). Participants were considered to have normoalbuminuria until they developed sustained microalbuminuria (two consecutive study visits with AER≥30 mg/d) or macroalbuminuria (AER≥300 mg/d in the absence of hematuria) (3,4). Sixty-eight participants with AER of 30–200 mg/d at baseline and ≥30 mg/d at their next DCCT visit were considered to have sustained microalbuminuria starting at DCCT baseline and included in all analyses. Participants were considered to have sustained microalbuminuria until they were observed to have two consecutive AER values <30 mg/d (remission to normoalbuminuria) or an AER≥300 mg/d (macroalbuminuria). Participants who remitted to normoalbuminuria could subsequently develop and be reclassified as having sustained microalbuminuria or macroalbuminuria. Some participants who developed macroalbuminuria were subsequently observed to have two AER values <300 mg/d (remitted macroalbuminuria). Because insufficient numbers of events were observed for participants with remitted macroalbuminuria, they were included in the macroalbuminuria group for primary analyses but analyzed separately in secondary analyses.

fig1
Figure 1.:
Transitions in albuminuria status observed during the Diabetes Control and Complications Trial (DCCT)/Epidemiology of Diabetes Interventions and Complications (EDIC) study. The figure depicts the four albuminuria categories examined in primary analyses and the observed numbers of transitions between categories. Of 1441 participants included, 1373 entered the DCCT with normoalbuminuria and 68 entered the DCCT with persistent microalbuminuria. During subsequent follow-up, 355 participants with normoalbuminuria at baseline developed persistent microalbuminuria, 171 participants with persistent microalbuminuria regressed to persistent normoalbuminuria, and 180 participants developed macroalbuminuria. Some participants were observed to undergo multiple transitions in albuminuria status over time and were included in multiple counts in the figure. AER, albumin excretion rate.

Cardiovascular Outcomes

The primary study outcome, any CVD, was a composite of the time to the first occurrence of nonfatal myocardial infarction or stroke, death from CVD, subclinical myocardial infarction on electrocardiography (“silent” myocardial infarction), confirmed angina, or the need for coronary artery revascularization, consistent with published DCCT/EDIC study analyses (18). A secondary outcome, major adverse cardiovascular event (MACE), included only the time to the first of nonfatal myocardial infarction or stroke or death from CVD. CVD events were adjudicated by physician review through December 31, 2013. For secondary subclinical outcomes, we also examined coronary artery calcium (CAC) measured at EDIC study year 7–8 (November 22, 2000–March 21, 2003) and carotid intima-media thickness (IMT) measured at EDIC study year 12 (January 5, 2004–August 17, 2005) (19,20).

Renal Outcomes

Serum creatinine was measured with highly reproducible methods annually throughout the DCCT and EDIC study at the DCCT/EDIC Central Biochemistry Laboratory. Most recently, results were calibrated to values traceable to isotope dilution mass spectrometry (14). The CKD-Epidemiology Collaboration equation was used to estimate GFR from calibrated serum creatinine (21). Reduced GFR was defined as eGFR<60 ml/min per 1.73 m2 on two consecutive study visits, the initiation of maintenance dialysis, or kidney transplantation (14).

Covariates

Covariates were updated concurrently with updates in albuminuria status over time. Use of angiotensin-converting enzyme inhibitors and angiotensin 2 receptor blockers were combined as use of RAS inhibitors, and use of lipid-lowering medications (mostly hydroxymethyl glutaryl coenzyme A reductase inhibitors) were combined as lipid-lowering medications. Smoking status was ascertained by questionnaire. Body mass index and BP were measured in standardized fashions by trained research coordinators (22). HbA1c was measured by HPLC (23). The time-weighted updated mean HbA1c was computed up to each visit with quarterly HbA1c values during DCCT weighted by 1/4 and annual EDIC study values by 1.

Statistical Analyses

We quantified total time at risk by albuminuria status, with each participant able to contribute risk time to multiple albuminuria categories. We quantified the numbers of first cardiovascular and renal events and unadjusted incidence rates of these events by time-updated albuminuria status. We then used Cox proportional hazards models to test associations of albuminuria status as a time-dependent variable with time to first CVD event. We stratified the proportional hazards model by DCCT treatment assignment and adjusted for covariates that were anticipated to potentially confound the associations of primary interest based on current understanding of pathophysiology. Model 1 was adjusted for age, sex, and attained duration of diabetes, and model 2 was additionally adjusted for renin-angiotensin inhibitor use, smoking, and updated weighted mean HbA1c as time-dependent covariates. A secondary time-to-event analysis designed to account for duration of exposure to microalbuminuria was restricted to participants who developed microalbuminuria or macroalbuminuria and used time since development of microalbuminuria or macroalbuminuria (whichever occurred first) as the unit of time.

We tested associations of albuminuria status with the presence of CAC (Agatston score >0 versus ≥0) using multivariable logistic regression and with the presence and extent of CAC using Tobit regression (19). We used multiple linear regression to test associations of albuminuria status with carotid IMT. We used albuminuria status concurrent with or immediately preceding each subclinical CVD measurement as exposure for these analyses. All analyses were performed using SAS software (version 9.4; SAS Institute, Cary, NC).

Results

Participant Characteristics

At baseline, mean participant age was 26.9 years; mean duration of diabetes was 5.6 years; 47% of participants were female; 96% of participants were white; and no participants were using RAS inhibitors (Table 1). Sustained microalbuminuria developed in 423 participants at a mean age of 33.9 years and a mean diabetes duration of 14.5 years. Of the 423 participants who developed microalbuminuria, 171 remitted to normoalbuminuria and 180 progressed to macroalbuminuria. At the time of remission or progression, 28% or 35%, respectively, were using RAS inhibitors.

Table 1. - Characteristics of participants in the Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications study at baseline and at the time that albuminuria developed, remitted, or progressed
Characteristic At Baseline (n=1441) During Follow-up
Time of Microalbuminuria Diagnosis (n=423) Time of Microalbuminuria Remission (n=171) Time of Macroalbuminuria Development (n=180)
Age, yr 26.9±7.1 33.9±11.2 36.7±11.2 38.3±10.2
Women 680 (47) 175 (41) 94 (55) 59 (33)
White patients 1390 (96) 404 (96) 168 (98) 166 (92)
DCCT treatment assignment (intensive therapy) 711 (49) 167 (39) 80 (47) 55 (30)
Duration of diabetes, mo 67.6±49.9 173.6±86.7 222.8±96.9 224.5±80.4
RAS inhibitor use
 Never 1441 (100) 358 (85) 116 (68) 108 (60)
 Current 0 52 (12) 48 (28) 63 (35)
 Prior 0 13 (3) 7 (4) 9 (5)
Lipid-lowering medication use 0 43 (10) 33 (19) 31 (17)
Current smoking 266 (18) 109 (26) 37 (22) 49 (27)
Body mass index, kg/m2 23.5±2.8 25.9±4.3 27.2±5.3 27.0±4.5
Systolic BP, mmHg 114.5±11.4 121.7±14.2 119.5±14.8 131.9±17.3
Diastolic BP, mmHg 73.0±8.5 76.8±8.8 73.7±9.3 81.3±10.1
Updated mean hemoglobin A1c, % 8.9±1.6 9.2±1.4 8.5±1.3 9.7±1.3
Albumin excretion rate, mg/d 11.5 (7.2, 18.7) 46.1 (36.0, 69.1) 14.4 (11.5, 21.6) 534.2 (393.1, 796.3)
eGFR, ml/min per 1.73 m2 126.1±14.2 117.8±18.2 110.5±18.1 106.0±22.4
LDL cholesterol, mg/dl 109.7±29.1 115.8±30.7 111.8±32.7 125.6±35.8
Data are mean±SD or n (%), except for albumin excretion rate, which is summarized as median (25th percentile, 75th percentile). DCCT, Diabetes Control and Complications Trial; RAS, renin-angiotensin system.

Median follow-up times were as follows: after developing sustained microalbuminuria, 17.8 years (interquartile range [IQR], 10.0–24.0 years; range, 0–29.6 years); after remission of microalbuminuria, 15.7 years (IQR, 8.2–22.1 years; range, 1.0–27.1 years); and after developing macroalbuminuria, 12.0 years (IQR, 5.8–16.9 years; range, 0–28.4 years). Among the 168 who remitted to normoalbuminuria before a first CVD event, 127 (75.6%) persisted in normoalbuminuria until their follow-up time was censored, whereas 40 (23.8%) were reclassified to sustained microalbuminuria and one (0.6%) was reclassified to macroalbuminuria during follow-up.

Clinical Cardiovascular Events

During 24.6 mean years of follow-up (range, 0–30 years), an initial cardiovascular event (any CVD) was observed in 184 participants, including 88 with a MACE. Compared with normoalbuminuria, time-updated sustained microalbuminuria, remitted microalbuminuria, and macroalbuminuria were each associated with higher risks of any CVD event and MACE, after adjustment for age, sex, attained duration of diabetes, and DCCT treatment assignment: hazard ratios (HRs) and 95% confidence intervals (95% CIs) of 1.79 (1.13 to 1.85), 2.62 (1.68 to 4.07), and 2.65 (1.68 to 4.19), respectively (Table 2). With further adjustment for RAS inhibitor use, smoking, and HbA1c, remitted microalbuminuria and macroalbuminuria were associated with significantly higher risk of any CVD, but sustained microalbuminuria was not. Neither further adjustment for eGFR nor introduction of a 4-year time lag between assessment of albuminuria and CVD events substantially changed these results (Supplemental Tables 1 and 2). Compared with participants with sustained microalbuminuria, those with remission of microalbuminuria or macroalbuminuria were estimated to have higher risks of CVD events, but these associations were not statistically significant (Table 3).

Table 2. - Associations of time-updated albuminuria status with cardiovascular and renal events in the Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications study
Variable Events, n Person-Years at Risk Incidence Rate (per 1000 Person-Years) Model 1 Model 2
HR (95% CI) P Value HR (95% CI) P Value
All cardiovascular events
 Normoalbuminuria 109 27,310 6.3 1 (reference) 1 (reference)
 Sustained microalbuminuria 23 2882 13.2 1.79 (1.13 to 2.85) a 0.01 1.31 (0.81 to 2.12) 0.28
 Remitted microalbuminuria 27 2089 23.9 2.62 (1.68 to 4.07) a <0.001 2.25 (1.44 to 3.51) a <0.001
 Macroalbuminuria 25 1899 25.5 2.65 (1.68 to 4.19) a <0.001 1.76 (1.06 to 2.91) a 0.03
Major adverse cardiac events
 Normoalbuminuria 48 27,773 2.7 1 (reference) 1 (reference)
 Sustained microalbuminuria 11 2975 6.2 2.01 (1.03 to 3.90) a 0.04 1.41 (0.70 to 2.81) 0.34
 Remitted microalbuminuria 11 2216 9.2 2.28 (1.15 to 4.53) a 0.02 1.88 (0.94 to 3.76) 0.07
 Macroalbuminuria 18 2052 17.1 4.19 (2.34 to 7.52) a <0.001 2.96 (1.54 to 5.67) a 0.001
Sustained eGFR<60 ml/min per 1.73 m2
 Normoalbuminuria 19 27,292 1.1 1 (reference) 1 (reference)
 Sustained microalbuminuria 10 2976 5.6 5.26 (2.43 to 11.41) a <0.001 2.68 (1.19 to 6.03) a 0.02
 Remitted microalbuminuria 7 2246 5.8 4.36 (1.80 to 10.57) a 0.001 3.18 (1.31 to 7.77) 0.01
 Macroalbuminuria 62 1710 67.6 54.35 (30.79 to 95.94) a <0.001 25.50 (13.42 to 48.46) a <0.001
In model 1, the proportional hazards model was stratified by Diabetes Control and Complications Trial (DCCT) treatment assignment and adjusted for age, sex, and attained duration of diabetes. In model 2, the proportional hazards model was stratified by DCCT treatment assignment, adjusted for age and sex as fixed covariates, and adjusted for attained duration of diabetes, renin-angiotensin inhibitor use, smoking, and updated weighted mean hemoglobin A1c as time-dependent covariates. HR, hazard ratio; 95% CI, 95% confidence interval.
aResults with P<0.05.

Table 3. - Associations of albuminuria status with cardiovascular and renal events among participants who developed microalbuminuria
Variable Events, n Model 1 Model 2
HR (95% CI) P Value HR (95% CI) P Value
All cardiovascular events
 Sustained microalbuminuria 23 1 (reference) 1 (reference)
 Remitted microalbuminuria 27 1.33 (0.68 to 2.59) 0.40 1.69 (0.86 to 3.32) 0.13
 Macroalbuminuria 25 1.46 (0.76 to 2.82) 0.26 1.05 (0.54 to 2.08) 0.88
Major adverse cardiac events
 Sustained microalbuminuria 11 1 (reference) 1 (reference)
 Remitted microalbuminuria 11 0.89 (0.34 to 2.33) 0.81 1.06 (0.41 to 2.75) 0.90
 Macroalbuminuria 18 1.63 (0.70 to 3.82) 0.26 1.31 (0.54 to 3.15) 0.55
Sustained eGFR<60 ml/min per 1.73 m2
 Sustained microalbuminuria 10 1 (reference) 1 (reference)
 Remitted microalbuminuria 7 1.75 (0.56 to 5.49) 0.34 2.21 (0.70 to 7.00) 0.18
 Macroalbuminuria 62 5.07 (2.36 to 10.90) a <0.001 5.11 (2.33 to 11.22) a <0.001
In this time-to-event model, time is evaluated since the development of microalbuminuria or macroalbuminuria (whichever occurred first). In model 1, the proportional hazards model was stratified by Diabetes Control and Complications Trial (DCCT) treatment assignment and adjusted for age, sex, and attained duration of diabetes. In model 2, the proportional hazards model was stratified by DCCT treatment assignment, adjusted for age and sex as fixed covariates, and adjusted for attained duration of diabetes, renin-angiotensin inhibitor use, smoking, and updated weighted mean hemoglobin A1c as time-dependent covariates. HR, hazard ratio; 95% CI, 95% confidence interval.
aResults with P<0.05.

Renal Outcomes

During 25.2 mean years of follow-up (range, 0–31 years), incident reduced eGFR was observed in 98 participants. Compared with normoalbuminuria, time-updated sustained microalbuminuria, remission of microalbuminuria, and particularly macroalbuminuria were each strongly associated with higher risk of reduced eGFR: HRs and 95% CIs of 5.26 (2.43 to 11.41), 4.36 (1.80 to 10.57), and 54.35 (30.79 to 95.94), respectively (Table 2). Among participants who developed microalbuminuria or macroalbuminuria, remission of microalbuminuria was associated with a nonsignificantly higher risk of reduced eGFR compared with sustained microalbuminuria, whereas progression to macroalbuminuria was significantly associated with higher risk of reduced eGFR (Table 3). When a 4-year time lag was introduced between assessment of albuminuria status and assessment of eGFR, remitted microalbuminuria was not significantly associated with risk of reduced eGFR (Supplemental Table 2).

Remission of Macroalbuminuria

Among participants who developed macroalbuminuria and subsequently remitted to persistent AER<300 mg/d, only seven developed a CVD event (including six with a MACE) and eight developed reduced eGFR (Supplemental Table 3). Compared with participants with normoalbuminuria, those with remitted macroalbuminuria had higher risks of CVD events and reduced eGFR. Compared with participants with sustained macroalbuminuria, those with remitted macroalbuminuria appeared to have similar risk of CVD events, with widely overlapping 95% CIs due to low numbers of event, but substantially lower risk of reduced eGFR.

Subclinical CVD

CAC was present in 339 of 1156 participants (29.3%). Macroalbuminuria was associated with higher risk of CAC compared with normoalbuminuria, but this was significant only in minimally adjusted models (Supplemental Table 4, Tables 4 and 5). Neither sustained nor remitted microalbuminuria was associated with CAC. Compared with normoalbuminuria, sustained microalbuminuria, remitted microalbuminuria, and macroalbuminuria were each associated with greater common carotid IMT.

Table 4. - Association of albuminuria status with subclinical cardiovascular disease (coronary artery calcium)
Variable Patients Evaluated, n Patients with CAC, n (%) Model 1 Model 2
Adjusted OR (95% CI) P Value Adjusted OR (95% CI) P Value
Normoalbuminuria 872 237 (27) 1 (reference) 1 (reference)
Sustained microalbuminuria 102 32 (31) 1.12 (0.68 to 1.86) 0.28 0.90 (0.53 to 1.53) 0.26
Remitted microalbuminuria 94 31 (33) 1.47 (0.86. 2.49) 0.82 1.24 (0.72 to 2.15) 0.66
Macroalbuminuria 88 39 (44) 2.32 (1.37 to 3.92) a 0.01 1.47 (0.81 to 2.66) 0.24
Model 1 is adjusted for age, sex, and attained duration of diabetes, and Diabetes Control and Complications Trial (DCCT) treatment assignment, plus scan site for coronary artery calcium or reader and machine type for carotid intima-media thickness. Model 2 is adjusted for age, sex, DCCT treatment assignment, attained duration of diabetes, renin-angiotensin inhibitor use, smoking, and updated mean hemoglobin A1c, plus scan site for coronary artery calcium or reader and machine type for carotid intima-media thickness. CAC, coronary artery calcium; OR, odds ratio; 95% CI, 95% confidence interval.
aResults with P<0.05.

Table 5. - Association of albuminuria status with subclinical cardiovascular disease (common carotid intima-media thickness)
Variable Patients Evaluated, n Mean IMT±SD, mm Model 1 Model 2
Adjusted Difference (95% CI), mm P Value Adjusted Difference (SEM), mm P Value
Normoalbuminuria 821 0.67±0.12 0 (reference) 0 (reference)
Sustained microalbuminuria 91 0.74±0.17 0.06 (0.04 to 0.09) a <0.001 0.05 (0.02–0.08) a <0.001
Remitted microalbuminuria 105 0.68±0.14 0.03 (0.01 to 0.01) a 0.02 0.03 (0.00–0.05) 0.06
Macroalbuminuria 94 0.74±0.19 0.07 (0.05 to 0.1) a <0.001 0.06 (0.03–0.09) a <0.001
Model 1 is adjusted for age, sex, and attained duration of diabetes, and Diabetes Control and Complications Trial (DCCT) treatment assignment, plus scan site for coronary artery calcium or reader and machine type for carotid intima-media thickness. Model 2 is adjusted for age, sex, DCCT treatment assignment, attained duration of diabetes, renin-angiotensin inhibitor use, smoking, and updated mean hemoglobin A1c, plus scan site for coronary artery calcium or reader and machine type for carotid intima-media thickness (IMT). 95% CI, 95% confidence interval
aResults with P<0.05.

Discussion

In this cohort study of type 1 diabetes spanning >30 years, the development of microalbuminuria or macroalbuminuria was associated with higher risks of clinical CVD and renal events, as expected. However, contrary to our hypothesis, remission from microalbuminuria to normoalbuminuria was not associated with reduced CVD or renal risk compared with sustained microalbuminuria. The lack of association of microalbuminuria remission with lower CVD and renal risk was robust in analyses adjusting for use of RAS inhibitors and accounting for time since microalbuminuria onset. Similarly, remission of microalbuminuria to normoalbuminuria was not associated with reduced subclinical CVD, quantified as CAC or carotid IMT.

Albuminuria has been consistently associated with higher CVD and renal risk across multiple cohorts with type 1 diabetes, including the DCCT/EDIC study, as well as cohorts with type 2 diabetes and the general population (1,18,24–26). Furthermore, albuminuria and other manifestations of diabetic kidney disease accounted statistically for all the excess mortality in two large type 1 diabetes cohorts (23,24). Our observed associations of microalbuminuria and macroalbuminuria with higher risks of clinical and subclinical CVD as well as reduced eGFR are consistent with these reports and support the concept that preventing albuminuria may help improve long-term health in type 1 diabetes.

Once developed, microalbuminuria is known to commonly regress to normoalbuminuria, a phenomenon documented first and most clearly in type 1 diabetes (2–4). In the present study, we confirmed frequent remission from microalbuminuria to normoalbuminuria using standardized, longitudinal measurements of AER. We required that microalbuminuria and normoalbuminuria be persistent over time (each present on two consecutive study visits spanning at least 1–2 years), generating confidence that we observed true changes in AER status. As previously reported, remission to normoalbuminuria occurred both with and without RAS inhibitor treatment (4).

The new finding in this study is that remission from microalbuminuria to normoalbuminuria was not associated with reduced risk of subsequent CVD or renal events. We were concerned that the lack of improved outcomes with remission to normoalbuminuria may be due to confounding by duration of preceding microalbuminuria. However, results were robust in sensitivity analyses using microalbuminuria onset as the beginning of time at risk. Incidence rates of cardiovascular events were actually higher among participants with remitted microalbuminuria than those with sustained microalbuminuria. However, this comparison was made using small numbers of events, and differences were not significant in adjusted analyses. Our data therefore suggest that remission of microalbuminuria to normoalbuminuria is associated with neither higher nor lower risk of cardiovascular or renal events in type 1 diabetes. Similar results were observed in analyses of subclinical CVD, which had substantially more power: Remission of microalbuminuria to normoalbuminuria was associated with neither higher nor lower CAC or carotid IMT.

Our results suggest that the manner through which albuminuria is reduced or the albuminuria range over which reduction occurs may affect the association of changes in albuminuria with CVD and renal risk. Most participants who remitted from microalbuminuria to normoalbuminuria in our study did so without the use of RAS inhibitors, whereas prior studies assessing the health impact of changes in albuminuria have focused on albuminuria changes induced by RAS blockade (5–8). In addition, we primarily assessed remission from microalbuminuria to normoalbuminuria, whereas prior studies assessing the health impact of changes in albuminuria have often focused on populations with higher levels of baseline albuminuria (8). For example, in the Reduction in End Points in Noninsulin-Dependent Diabetes Mellitus with the Angiotensin II Antagonist Losartan study, all participants had macroalbuminuria at baseline, and RAS inhibitor–induced reductions in albuminuria were associated with lower subsequent CVD and renal risk (5,6). Interestingly, in our study, associations of macroalbuminuria with reduced eGFR were very strong, consistent with prior DCCT/EDIC reports (14). Moreover, regression of macroalbuminuria to AER<300 mg/d was associated with reduced risk of reduced eGFR compared with sustained macroalbuminuria, and regression of microalbuminuria appeared to be associated with lower risk of reduced eGFR compared with sustained microalbuminuria, when a 4-year lag time was introduced. These results confirm dose-response relationships between established albuminuria and GFR loss and are more consistent with prior studies evaluating albuminuria reductions starting from the macroalbuminuric range.

Strengths of our study include the long period of time over which to ascertain AER status and subsequent cardiovascular and renal outcomes, the frequent and standardized assessment of AER, and the evaluation of complementary clinical CVD events, subclinical CVD outcomes, and eGFR outcomes. Limitations include an inability to fully ascertain the cause of remission from microalbuminuria to normoalbuminuria (or its absence) and the relatively small number of observed clinical events. By design, our data do not directly evaluate the effects of any treatment on albuminuria reduction or related cardiovascular or renal risk, nor do they address whether treatment-induced changes in albuminuria are suitable as surrogate end points in clinical trials.

In conclusion, our results confirm the associations of the onset of microalbuminuria and macroalbuminuria with adverse cardiovascular and renal outcomes in type 1 diabetes. This supports the general practice of preventing the development of microalbuminuria through such interventions as intensive glycemic control and preventing progression of microalbuminuria to macroalbuminuria through such interventions as RAS inhibition and BP control. However, remission of established microalbuminuria to normoalbuminuria was not associated with improved cardiovascular or renal outcomes.

Disclosures

None.

Published online ahead of print. Publication date available at www.cjasn.org.

See related editorial, “Is Change in Albuminuria a Surrogate Marker for Cardiovascular and Renal Outcomes in Type 1 Diabetes?,” on pages .

This article contains supplemental material online at http://cjasn.asnjournals.org/lookup/suppl/doi:10.2215/CJN.02870316/-/DCSupplemental.

Acknowledgments

The Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications (DCCT/EDIC) study (Clinical Trial Registration numbers: NCT00360893, NCT00360815) has been supported by U01 Cooperative Agreement grants from (1982–1993, 2011–2016) and contracts with (1982–2011) the Division of Diabetes Endocrinology and Metabolic Diseases of the National Institute of Diabetes and Digestive and Kidney Disease (NIDDK), and through support by the National Eye Institute, the National Institute of Neurologic Disorders and Stroke, the Genetic Clinical Research Centers Program (1993–2007), and Clinical Translational Science Center Program (2006–present), Bethesda, MD. I.H.D.B’s effort was supported by grants R01DK087726 and R01DK088762 from the NIDDK.

Industry contributors have had no role in the DCCT/EDIC study but have provided free or discounted supplies or equipment to support participants’ adherence to the study: Abbott Diabetes Care (Alameda, CA), Animas (Westchester, PA), Bayer Diabetes Care (North America Headquarters, Tarrytown, NY) Becton Dickinson (Franklin Lakes, NJ), CanAm (Atlanta, GA), Eli Lilly (Indianapolis, IN), Lifescan (Milpitas, CA), Medtronic Diabetes (Minneapolis, MN), Omron (Shelton, CT), OmniPod Insulin Management System (Bedford, MA), Roche Diabetes Care (Indianapolis, IN), and Sanofi-Aventis (Bridgewater, NJ).

A complete list of participants in the DCCT/EDIC Research Group can be found in de Boer et al. (14).

References

1. Fox CS, Matsushita K, Woodward M, Bilo HJ, Chalmers J, Heerspink HJ, Lee BJ, Perkins RM, Rossing P, Sairenchi T, Tonelli M, Vassalotti JA, Yamagishi K, Coresh J, de Jong PE, Wen CP, Nelson RG; Chronic Kidney Disease Prognosis Consortium: Associations of kidney disease measures with mortality and end-stage renal disease in individuals with and without diabetes: A meta-analysis. Lancet 380: 1662–1673, 201223013602
2. Perkins BA, Ficociello LH, Silva KH, Finkelstein DM, Warram JH, Krolewski AS: Regression of microalbuminuria in type 1 diabetes. N Engl J Med 348: 2285–2293, 200312788992
3. de Boer IH, Afkarian M, Rue TC, Cleary PA, Lachin JM, Molitch ME, Steffes MW, Sun W, Zinman B; Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications (DCCT/EDIC) Research Group: Renal outcomes in patients with type 1 diabetes and macroalbuminuria. J Am Soc Nephrol 25: 2342–2350, 201424925722
4. de Boer IH, Rue TC, Cleary PA, Lachin JM, Molitch ME, Steffes MW, Sun W, Zinman B, Brunzell JD, White NH, Danis RP, Davis MD, Hainsworth D, Hubbard LD, Nathan DM; Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications Study Research Group: Long-term renal outcomes of patients with type 1 diabetes mellitus and microalbuminuria: An analysis of the Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications cohort. Arch Intern Med 171: 412–420, 201121403038
5. de Zeeuw D, Remuzzi G, Parving HH, Keane WF, Zhang Z, Shahinfar S, Snapinn S, Cooper ME, Mitch WE, Brenner BM: Proteinuria, a target for renoprotection in patients with type 2 diabetic nephropathy: Lessons from RENAAL. Kidney Int 65: 2309–2320, 200415149345
6. de Zeeuw D, Remuzzi G, Parving HH, Keane WF, Zhang Z, Shahinfar S, Snapinn S, Cooper ME, Mitch WE, Brenner BM: Albuminuria, a therapeutic target for cardiovascular protection in type 2 diabetic patients with nephropathy. Circulation 110: 921–927, 200415302780
7. Schmieder RE, Mann JF, Schumacher H, Gao P, Mancia G, Weber MA, McQueen M, Koon T, Yusuf S; ONTARGET Investigators: Changes in albuminuria predict mortality and morbidity in patients with vascular disease. J Am Soc Nephrol 22: 1353–1364, 201121719791
8. Heerspink HJ, Kröpelin TF, Hoekman J, de Zeeuw D; Reducing Albuminuria as Surrogate Endpoint (REASSURE) Consortium: Drug-induced reduction in albuminuria is associated with subsequent renoprotection: A meta-analysis. J Am Soc Nephrol 26: 2055–2064, 201525421558
9. Levey AS, Cattran D, Friedman A, Miller WG, Sedor J, Tuttle K, Kasiske B, Hostetter T: Proteinuria as a surrogate outcome in CKD: Report of a scientific workshop sponsored by the National Kidney Foundation and the US Food and Drug Administration. Am J Kidney Dis 54: 205–226, 200919577347
10. Lambers Heerspink HJ, Gansevoort RT: Albuminuria is an appropriate therapeutic target in patients with CKD: The pro view. Clin J Am Soc Nephrol 10: 1079–1088, 201525887073
11. Fried LF, Lewis J: Albuminuria is not an appropriate therapeutic target in patients with CKD: The con view. Clin J Am Soc Nephrol 10: 1089–1093, 201525887070
12. Pambianco G, Costacou T, Ellis D, Becker DJ, Klein R, Orchard TJ: The 30-year natural history of type 1 diabetes complications: The Pittsburgh Epidemiology of Diabetes Complications Study experience. Diabetes 55: 1463–1469, 200616644706
13. The Diabetes Control and Complications Trial Research Group: The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus. N Engl J Med 329: 977–986, 19938366922
14. de Boer IH, Sun W, Cleary PA, Lachin JM, Molitch ME, Steffes MW, Zinman B; DCCT/EDIC Research Group: Intensive diabetes therapy and glomerular filtration rate in type 1 diabetes. N Engl J Med 365: 2366–2376, 201122077236
15. The Diabetes Control and Complications (DCCT) Research Group: Effect of intensive therapy on the development and progression of diabetic nephropathy in the Diabetes Control and Complications Trial. Kidney Int 47: 1703–1720, 19957643540
16. Younes N, Cleary PA, Steffes MW, de Boer IH, Molitch ME, Rutledge BN, Lachin JM, Dahms W; DCCT/EDIC Research Group: Comparison of urinary albumin-creatinine ratio and albumin excretion rate in the Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications study. Clin J Am Soc Nephrol 5: 1235–1242, 201020448066
17. de Boer IH; DCCT/EDIC Research Group: Kidney disease and related findings in the diabetes control and complications trial/epidemiology of diabetes interventions and complications study. Diabetes Care 37: 24–30, 201424356594
18. Nathan DM, Cleary PA, Backlund JY, Genuth SM, Lachin JM, Orchard TJ, Raskin P, Zinman B; Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications (DCCT/EDIC) Study Research Group: Intensive diabetes treatment and cardiovascular disease in patients with type 1 diabetes. N Engl J Med 353: 2643–2653, 200516371630
19. Cleary PA, Orchard TJ, Genuth S, Wong ND, Detrano R, Backlund JY, Zinman B, Jacobson A, Sun W, Lachin JM, Nathan DM; DCCT/EDIC Research Group: The effect of intensive glycemic treatment on coronary artery calcification in type 1 diabetic participants of the Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications (DCCT/EDIC) Study. Diabetes 55: 3556–3565, 200617130504
20. Polak JF, Backlund JY, Cleary PA, Harrington AP, O’Leary DH, Lachin JM, Nathan DM; DCCT/EDIC Research Group: Progression of carotid artery intima-media thickness during 12 years in the Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications (DCCT/EDIC) study. Diabetes 60: 607–613, 201121270271
21. Levey AS, Stevens LA, Schmid CH, Zhang YL, Castro AF 3rd, Feldman HI, Kusek JW, Eggers P, Van Lente F, Greene T, Coresh J; CKD-EPI (Chronic Kidney Disease Epidemiology Collaboration): A new equation to estimate glomerular filtration rate. Ann Intern Med 150: 604–612, 200919414839
22. de Boer IH, Kestenbaum B, Rue TC, Steffes MW, Cleary PA, Molitch ME, Lachin JM, Weiss NS, Brunzell JD; Diabetes Control and Complications Trial (DCCT)/Epidemiology of Diabetes Interventions and Complications (EDIC) Study Research Group: Insulin therapy, hyperglycemia, and hypertension in type 1 diabetes mellitus. Arch Intern Med 168: 1867–1873, 200818809813
23. Steffes M, Cleary P, Goldstein D, Little R, Wiedmeyer HM, Rohlfing C, England J, Bucksa J, Nowicki M: Hemoglobin A1c measurements over nearly two decades: Sustaining comparable values throughout the Diabetes Control and Complications Trial and the Epidemiology of Diabetes Interventions and Complications study. Clin Chem 51: 753–758, 200515684277
24. Orchard TJ, Secrest AM, Miller RG, Costacou T: In the absence of renal disease, 20 year mortality risk in type 1 diabetes is comparable to that of the general population: a report from the Pittsburgh Epidemiology of Diabetes Complications Study. Diabetologia 53: 2312–2319, 201020665208
25. Groop PH, Thomas MC, Moran JL, Wadèn J, Thorn LM, Mäkinen VP, Rosengård-Bärlund M, Saraheimo M, Hietala K, Heikkilä O, Forsblom C; FinnDiane Study Group: The presence and severity of chronic kidney disease predicts all-cause mortality in type 1 diabetes. Diabetes 58: 1651–1658, 200919401416
26. Afkarian M, Sachs MC, Kestenbaum B, Hirsch IB, Tuttle KR, Himmelfarb J, de Boer IH: Kidney disease and increased mortality risk in type 2 diabetes. J Am Soc Nephrol 24: 302–308, 201323362314
Keywords:

diabetes; albuminuria; cardiovascular disease; chronic kidney disease; progression of chronic renal failure; albumins; cardiovascular diseases; carotid intima-media thickness; coronary vessels; diabetes mellitus, type 1; diabetes mellitus, type 2; disease progression; kidney; renin-angiotensin system; risk

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