Introduction
Fatigue has been increasingly recognized as an important symptom in patients with chronic medical illnesses, including kidney failure requiring maintenance dialysis, with a recent prioritization of identification, quantification, and further study of fatigue in patients receiving hemodialysis (1). Contemporary studies have also identified fatigue as a debilitating symptom in patients with nondialysis CKD (23–4). The purpose of this review is to consolidate known information about the identification, epidemiology, pathophysiology, and potential treatments of fatigue in patients with CKD.
Defining, Identifying, and Measuring Fatigue
Definition
Concrete definitions of fatigue are elusive. It is a complex, multidimensional, subjective experience that encompasses both physical and psychologic symptoms. It is usually described by patients as extreme and persistent tiredness, weakness, exhaustion, or lack of energy that is out of proportion to their degree of exertion, and may interfere with physical functioning (567–8). Physical symptoms of fatigue include muscle weakness or poor endurance, whereas psychologic symptoms include a sense of increased effort or diminished cognitive endurance (7). Fatigue in CKD, as in other chronic diseases, is multifactorial and may manifest differently between individual patients.
Identification and Measurement
There is currently no consensus about the best tools to measure fatigue in patients with CKD. Table 1 provides a summary of fatigue scales used in studies of patients with CKD, and designates whether these scales were also used in studies of patients with kidney failure. Most available questionnaires use Likert scales to generate a score to quantify fatigue. They range from one to 13 questions, with some scales assessing various components of fatigue and others asking one global question about the presence and severity of fatigue, tiredness, or energy level. Of the measures studied in patients with CKD, the Functional Assessment of Chronic Illness Therapy – Fatigue (FACIT-F) is the only multi-item survey designed to ascertain multiple dimensions of fatigue (9). Most of the other surveys are single items embedded within longer questionnaires designed to ascertain depression, quality of life, or symptom burden. Briefer measures have the benefit of being simple, fast, and easy to administer, and can be obtained when assessing other important symptoms. It is unclear whether the isolated use of fatigue items from these questionnaires reflects the complex nature of fatigue, or whether these various measures elicit different aspects (e.g., physical versus psychologic) of this multifaceted symptom.
Table 1. -
Fatigue measurement tools that have been used in studies of patients with CKD
| Measurement Tool |
No. of Fatigue Questions |
Scoring |
Comments |
| Functional Assessment of Chronic Illness Therapy – Fatigue (FACIT-F) (9) |
13 |
Each item is a five-point scale; total score 0–52, with lower scores indicating worse fatigue |
Scale is designed to assess fatigue, rather than being a single-item of a scale designed for other purposes. Score ≤44 frequently used to indicate fatigue. Scale has also been used in patients with kidney failure |
| CKD Symptom Burden Index (10) fatigue item |
1 |
Presence (yes or no) and ten-point scales for severity, distress, or frequency; total score for each domain 0–10, with higher score indicating worse symptoms |
Single item of a questionnaire designed to assess the burden of multiple symptoms among patients with CKD stages 4 and 5; derived from the Dialysis Symptom Index. Scale has also been used in patients with kidney failure |
| Patient Outcome Scale (4,11) |
1 |
Each item is a five-point Likert scale from 1 (not at all bothersome) to 5 (very bothersome) |
Single item of a 17-item questionnaire that was originally created for palliative care patients and modified for patients with kidney failure |
| Dialysis Symptom Index (12) |
1 |
Presence (yes or no) and five-point Likert scale to assess fatigue severity, with a higher score indicating more severe fatigue |
Single item of a questionnaire designed to assess the burden of 30 symptoms among patients with kidney failure on dialysis. Scale has also been used in patients with kidney failure. |
| Memorial Symptom Assessment Scale Short Form (13) lack of energy item |
1 |
Likert scale from 0 (not at all) to 4 (very much) referring to the amount fatigue distressed the patient |
Single item of a questionnaire evaluating the burden of 32 symptoms |
| Edmonton Symptom Assessment Scale (14) fatigue item |
1 |
Symptom severity rated from 0 to 10 on a visual analog scale |
Single item of a questionnaire evaluating eight symptoms |
| Quick Inventory of Depressive Symptomatology Self-Report (QIDS-SR16) (15) fatigue item |
1 |
Likert scale from 0 (no fatigue) to 3 (severe fatigue) |
Single item of a validated depression scale (16); score ≥1 associated with death, dialysis initiation, or hospitalization among patients with CKD (2) |
| Beck Depression Inventory (BDI) (17) fatigue item |
1 |
Likert scale from 0 (no fatigue) to 3 (severe fatigue) |
Single item of a validated depression scale (16) |
| 12-Item Short Form Health Survey (SF-12) (18) vitality scale |
1 |
Six-point Likert scale with higher scores indicating more severe fatigue |
Fatigue score is derived from one item from a questionnaire designed to evaluate eight domains of quality of life |
| 36-Item Short Form Health Survey (SF-36) (19) vitality scale |
4 |
Each item is a six-point Likert scale; total score 0–100, with higher scores indicating worse fatigue |
Fatigue score is derived from four items from a questionnaire designed to evaluate eight domains of quality of life. Scale has also been used in patients with kidney failure |
Given the variability in these measures, larger studies are needed to validate an easily administered tool that can be reliably used for both clinical care and research. As has been prioritized for patients with kidney failure, a short, simple metric that reflects fatigue severity and its effect on ability to participate in activities, and is shown to be associated with adverse outcomes, may have the greatest value (1,20). The Standardized Outcomes in Nephrology-Hemodialysis (SONG-HD) group recently developed and validated a novel, three-item fatigue measure in patients on maintenance hemodialysis, which has not yet been studied in patients with nondialysis CKD (21). Until more research identifies an optimal measure, we suggest using the FACIT-F for screening in patients with CKD, given that this questionnaire is fatigue-specific, easy to administer, studied in this patient population (22,23), and currently being used in National Institutes of Health–sponsored clinical trials of patients with kidney disease (24,25). Alternatively, single-item measures, such as the fatigue question on the 16-item self-reported Quick Inventory of Depressive Symptomatology Self Report (QIDS-SR16) or the 12-item Short Form Health Survey (SF-12), may be useful for identifying fatigue because of associations with clinically meaningful outcomes, as detailed below.
Epidemiology
Prevalence and Severity
Fatigue is among the most common and most distressing symptoms for patients with kidney disease (26), who may experience more fatigue than healthy people as early as CKD stages 2–3. Fatigue affects 20%–91% of patients with CKD, and the prevalence increases with advancing CKD stages (2718–19). This variability in prevalence is likely due to differences in samples and the instruments used (Figure 1) (23–4,22,23,26,29202122–23). The majority of reported fatigue appears to be mild to moderate, with 5%–24% of patients reporting severe fatigue (Figure 1). The study reporting the lowest prevalence defined fatigue to be present if a patient scored ≤24 points on the FACIT-F (23), which is stricter than the cutoff of ≤44 used in other studies and likely identified only individuals with severe fatigue (22). The study reporting the highest prevalence sampled individuals with CKD stage 5 who declined to initiate dialysis, and measured fatigue on a scale that was not used in other studies (31). In sum, approximately two-thirds to three-quarters of patients with CKD experience fatigue, with as many as one in four reporting severe symptoms.
;)
Figure 1.: Fatigue is prevalent in approximately two-thirds to three-quarters of patients with CKD. When reported, symptom severity is denoted. CKD inclusion refers to the inclusion criteria for the samples with CKD that were included in each study; eGFR units are ml/min per 1.73 m2. CrCl, creatinine clearance.
Association with Death, Hospitalization, and Kidney Failure
Fatigue is associated with mortality in patients with kidney failure (342526–27). Only two prospective cohort studies investigated the associations of fatigue with clinically important outcomes in patients with CKD. In 433 individuals with CKD stages 4 and 5, there was a marginal association between fatigue and dialysis initiation within 6 months (38). A prospective study of 266 consecutively recruited outpatients with CKD stages 2–5 reported that the presence of any fatigue versus none, as measured by the fatigue item on the QIDS-SR16 depression questionnaire, and fatigue severity measured by the SF-12 were independently associated with a composite of death, hospitalization, or dialysis initiation (2).
Pathophysiology
Studies investigating the pathophysiology and correlates of fatigue in patients with kidney disease suggest that multiple abnormalities contribute to fatigue. Cross-sectional associations of fatigue with demographic characteristics, comorbidities, and laboratory variables have been demonstrated in some studies (Table 2). Studies of the pathophysiology of muscular fatigue have also investigated potential causative factors, such as impaired oxygen delivery, altered cardiovascular response to exertion, and metabolic acidosis (Figure 2).
Figure 2.: Pathogenesis and treatment of fatigue in patients with CKD. The icon of a person on a stationary bike represents physical activity. *Treatment of OSA. Figure 2 was created with
BioRender.com. CNS, central nervous system; CPAP, continuous positive airway pressure; ESA, erythropoietin-stimulating agent; OSA, obstructive sleep apnea; SSRI, selective serotonin reuptake inhibitor.
Table 2. -
Studies of fatigue prevalence and associated factors in patients with nondialysis CKD
| Study |
Sample |
Fatigue Scale and Definition |
Clinical Factors Associated with Fatigue |
| Mujais et al. (28) |
CKD stages 3–5 (n=1186) |
SF-36 fatigue subscale, used as a continuous variable |
Female sex, diabetes, history of myocardial infarction, hypoalbuminemia. Increase in hemoglobin over follow-up was associated with improved fatigue |
| Pagels et al. (27) |
CKD stages 2–5 (n=535) |
SF-36 fatigue subscale, used as a continuous variable |
Advancing CKD stage |
| Jhamb et al. (23) |
CKD (n=87) and kidney failure (n=86) |
FACIT-F, high fatigue if ≤24 |
Cardiovascular disease, benzodiazepine use, lower hemoglobin and albumin, depression, poor sleep quality, daytime sleepiness, restless leg syndrome |
| Manavalan et al. (39) |
CKD stages 3–5 (n=162) and kidney failure (n=42) |
SF-36 fatigue subscale, used as a continuous variable |
Advancing CKD stage |
| Oh et al. (40) |
CKD stages 1–5 (n=1844) |
SF-36 fatigue subscale, used as a continuous variable |
Vitamin D deficiency |
| van de Luijtgaarden et al. (30) |
CKD with eGFR newly ≤20 ml/min per 1.73 m2 within 6 mo (n=1479) |
Dialysis Symptom Index, cutoff not specified to define fatigue |
Female sex |
| Gregg et al. (2) |
CKD stages 2–5 (n=266) |
QIDS-SR16 fatigue item, fatigue present if ≥1 |
Employment, antidepressant medication use |
| BDI fatigue item, fatigue present if ≥1 |
Employment, no. of comorbidities, depression, antidepressant medication use, lower hemoglobin |
| SF-12 fatigue item, used as a continuous variable |
Employment, diabetes mellitus, number of comorbidities, depression, alcohol or drug abuse, β-blocker, antidepressant medication use, lower hemoglobin, lower albumin |
| Wang et al. (41) |
CKD stages 1–5 (n=1163) |
SF-12 fatigue item, used as a continuous variable |
Depression |
| Gregg et al. (42) |
CKD stages 3b–5 and major depressive disorder (n=201) |
QIDS-SR16 fatigue item, used as a continuous variable |
hsCRP |
| SF-36 fatigue subscale, used as a continuous variable |
Not associated with inflammatory biomarkers |
| Nixon et al. (43) |
CKD stages 4 and 5 (n=60) and kidney failure (n=30) |
SF-36 fatigue subscale, used as a continuous variable |
Frailty |
SF-36, 36-item Short-Form Health Survey; FACIT-F, Functional Assessment of Chronic Illness Therapy – Fatigue; QIDS-SR16, 16-item Quick Inventory of Depressive Symptomatology Self-Report; BDI, Beck Depression Inventory; SF-12, 12-item Short-Form Health Survey; hsCRP, high-sensitivity C-reactive protein.
Oxygen Delivery and Lactic Acidosis
Patients with CKD develop lactic acidosis more quickly than healthy controls in response to low levels of physical activity, which may contribute to muscular fatigue (44,45). Patient-reported fatigue parallels higher plasma lactate levels and higher respiratory exchange ratio in patients with CKD, suggesting that increased anaerobic respiration contributes to fatigue pathophysiology (44). Alterations in oxygen transport from the lungs to the skeletal muscle capillaries (oxygen convection), the movement of oxygen from the intravascular to the intracellular space (oxygen conductance), and oxygen utilization in mitochondria have each been studied as possible contributors to lactic acidosis and fatigue.
Anemia and Oxygen Convection.
The combination of anemia and poor compensatory cardiovascular mechanisms leads to decreased oxygen convection, contributing to exertional lactic acidosis and fatigue in patients with CKD, leading to decreased arterial oxygen carrying capacity and impaired total body oxygen delivery. It is, therefore, unsurprising that anemia is one of the most commonly identified risk factors associated with fatigue (Table 2). In patients with CKD stages 2–5, a decrease in hemoglobin of 1 g/dl was associated with increased severity of fatigue on the SF-12, and 19% greater odds of fatigue as measured by the Beck Depression Inventory (2). In other observational studies, hemoglobin was lower in those with high fatigue than those without (11.2 versus 12.0 g/dl; P=0.05) (23), and increased hemoglobin over time was associated with improvement in patient-reported fatigue (28). However, unlike what would be expected in otherwise healthy people with anemia, individuals with CKD may not demonstrate compensatory increases in cardiac output or oxygen extraction to account for decreased arterial oxygen content (44). In patients on maintenance hemodialysis, treatment with an erythropoietin-stimulating agent (ESA) led to an increase in hemoglobin, but a decrease in blood flow to exercising skeletal muscle, indicating a blunting of the hyperdynamic cardiovascular response seen with more severe anemia (46). The common use of β-blockers in this patient population may preclude an increase in heart rate in response to exertion. Another possibility is that systolic and diastolic cardiac dysfunction, common in patients with CKD, may contribute to the inability to increase cardiac output and oxygen delivery in the setting of mild anemia. In patients with an eGFR of 25–60 ml/min per 1.73 m2, global longitudinal strain (a measure of systolic function) correlated with patient-reported fatigue and was independently associated with poorer physical functioning as measured by the 6-minute walk test and the get-up-and-go test (47).
Skeletal muscle blood flow and capillary recruitment may also play a role in decreased oxygen delivery to skeletal muscle. Although it has been hypothesized that inadequate capillary density may contribute to decreased oxygen delivery, muscle biopsy specimens in patients with kidney failure show that the number and morphology of capillaries within skeletal muscles are near normal (48). Insulin resistance may play an important role, as insulin increases capillary recruitment in skeletal muscle to increase glucose uptake in those tissues (49). In animal models, acute insulin resistance has been shown to decrease muscle blood flow and myogenic activity (50). In humans, insulin resistance is associated with a diminished microvascular vasodilatory response (5137–38). Given that insulin-resistant states, such as obesity and diabetes, are frequent causes of CKD, it is likely that this contributes to the pathophysiology of muscle fatigue in this population.
Oxygen Conductance.
Among patients with kidney failure, low muscle oxygen conductance contributes to overall low maximal oxygen uptake (54). Once oxygen arrives in the muscle capillaries, it must dissociate from hemoglobin and move to the mitochondria where it can be used for aerobic respiration. In patients with kidney disease, peak oxygen uptake increases with ESA treatment, but less than expected when compared with a healthy but sedentary control group (46). The end result is that with exercise, net oxygen extraction in individuals with kidney failure treated with an ESA remains similar to that seen before treatment initiation, and lower than that seen in healthy controls, indicating that alterations in oxygen conductance limit aerobic respiration despite improvement in anemia and oxygen convection.
Oxygen Utilization.
Data on muscle mitochondrial metabolism in patients with CKD are conflicting. Two small studies in patients with kidney failure showed that muscle mitochondrial oxidative capacity is not limited (54), and that mitochondrial content is preserved, respiratory activity is conserved, and mitochondrial respiratory chain complexes are intact (55). However, another study demonstrated that patients with nondialysis CKD had decreased mitochondrial mass on skeletal muscle biopsy, and decreased gene expression of transcription factors involved in mitochondrial biogenesis compared with non-CKD controls, likely contributing to overall decreased oxygen utilization (56).
Skeletal Muscle Function
Metabolic Acidosis.
Because of their impaired ability to excrete acid as GFR declines, patients with CKD develop chronic metabolic acidosis, which is associated with functional impairment (57,58). Chronic metabolic acidosis depletes skeletal muscle, bones, and other peripheral tissues of bicarbonate to buffer the elevated acid content, and contributes to ubiquitin-mediated proteolysis in skeletal muscle (59). Chronic metabolic acidosis was associated with more rapid development of exertional muscle fatigue in patients with CKD (60). Although it follows that this would be a result of an inability to buffer lactic acid that is produced in response to exercise, studies have not shown decreased interstitial pH in exercising muscle cells in patients with CKD with versus without acidosis (60). Further studies about the effects of metabolic acidosis on muscle biology, bone remodeling, and oxygen delivery and utilization may improve understanding of this potentially important contributor to fatigue.
Protein-Energy Wasting.
Protein-energy wasting, which encompasses the chronic inflammation, malnutrition, protein catabolism, and metabolic and hormonal abnormalities that accompany worsening kidney function, is thought to contribute to fatigue (61). Sarcopenia, the loss of skeletal muscle mass, is one of the most concerning results of protein-energy wasting and is a strong correlate of poor physical functioning (62). Although not necessarily a feature of kidney disease per se, patients with secondary hyperparathyroidism or other systemic disease may also develop alterations in muscle morphology, such as intramuscular fibrosis and fat infiltration, which may contribute to fatigue (48,62). IGF is also decreased in patients with kidney failure, which may contribute to sarcopenia (63).
Protein deficiency and malnutrition are thought to contribute to sarcopenia and protein-energy wasting, and hypoalbuminemia has been associated with fatigue (2,23,28). In patients on maintenance hemodialysis, fatigue is associated with elevated inflammatory biomarkers such as IL-6 and high-sensitivity C-reactive protein (37,64,65). In the only study that investigated the associations of fatigue with inflammatory biomarkers in patients with CKD stages 3b–5 and major depressive disorder, fatigue ascertained by the QIDS-SR16 depression questionnaire was associated with higher plasma high-sensitivity C-reactive protein, but not with IL-6 or prealbumin (42).
Hyperphosphatemia.
Hyperphosphatemia is thought to contribute to muscular fatigue via its effects on intracellular calcium. Elevated intracellular inorganic phosphate decreases the available amount of calcium ions by binding them and precipitating as calcium phosphate in the sarcoplasmic reticulum (6653–54). The unavailability of calcium ions required for excitation-contraction coupling can contribute to a sensation of fatigue and poor exercise tolerance (67).
Other Associated Factors
Depression.
Depression and fatigue commonly coexist in the general population and among patients on maintenance hemodialysis (69565758–59). In fact, one of the nine diagnostic domains of major depressive disorder is the presence of fatigue for at least 2 weeks. Depressive symptoms, depression presence, and antidepressant medication use correlate with fatigue presence and severity in patients with CKD, but these relationships vary depending on the metric used to quantify fatigue (2,23,41). Fatigue and depression may be related by a syndrome connecting depression, inflammation, and atherosclerotic cardiovascular risk, but the pathophysiology of this is not well understood (74).
Obstructive Sleep Apnea.
Obstructive sleep apnea (OSA) is a known cause of fatigue. Several studies reported strong associations between kidney disease and OSA (75), which is prevalent in approximately 40%–64% of patients with CKD (7664–65). Increased sympathetic tone, hypertension, hypoxia, and fluid overload all contribute to the development of OSA in patients with CKD (79).
Potential Treatments
Because of the multifaceted pathophysiology of fatigue and associations with the presence of chronic disease, inflammation, and depression, there are several potential targets for the treatment of fatigue in patients with CKD. So far, clinical trials have focused on physical activity and available treatments for known correlates of fatigue, such as anemia and depression.
Physical Activity
Small clinical trials investigated the effect of physical activity on fatigue. In a 12-week trial of aerobic versus combined aerobic and weight training among 36 patients with CKD stages 3b–5, the FACIT-F fatigue score improved from baseline in both groups, with no difference between groups in improvement (80). In 40 participants with CKD stages 3–4 who were randomized to home-based exercise, center-based exercise, or control, there was improvement in the SF-36 vitality score in the home- and center-based physical activity groups compared with the control group (81). A third trial showed that a 12-week supervised rehabilitation exercise intervention resulted in improvements in both 6-minute walk test and patient-reported fatigue among 59 individuals with CKD stages 3–4, compared with usual care in 48 controls (82). Given the many other benefits of physical activity on cardiovascular profile and mental health, these studies, although small, suggest that exercise may be an effective intervention to improve fatigue and physical functioning.
Erythropoiesis-Stimulating Agents
Few randomized controlled trials suggest that treatment with ESAs to raise hemoglobin may improve fatigue in patients with CKD, which may be because of the central role decreased oxygen convection plays in the setting of anemia. The Cardiovascular Risk Reduction by Early Anemia Treatment with Epoetin Beta trial showed improvement in fatigue among those randomized to a hemoglobin target of 13–15 g/dl versus 11–12.5 g/dl (83). The Correction of Hemoglobin and Outcomes in Renal Insufficiency trial showed that targeting a hemoglobin level of 13.5 g/dl versus 11.3 g/dl was not associated with any benefit to fatigue (84). Finally, the Trial to Reduce Cardiovascular Events with Aranesp Therapy showed a modest benefit in patient-reported fatigue, with an improvement from baseline on the FACIT-F of 4.2±10.5 points in the darbepoetin group versus 2.8±10.3 points in the placebo group (P<0.001); an improvement that may or may not be clinically relevant (85). Given that these trials also revealed potentially higher risk of adverse cardiovascular events with ESA use (8371–72), indiscriminate use of ESAs to treat fatigue in patients with kidney disease would not be prudent. However, an individualized higher hemoglobin target has been suggested to be useful for younger, active patients who remain limited by symptoms such as fatigue, despite a hemoglobin level of 10 g/dl (8675–97).
Alkali Supplementation
Some studies suggested an improvement in functional status and muscle strength with sodium bicarbonate therapy to treat metabolic acidosis. In one clinical trial of 20 adults with an eGFR of 15–45 ml/min per 1.73 m2 and serum bicarbonate 20–24 mEq/L, supplementation with 1 mEq/kg per day of oral sodium bicarbonate was associated with dose-dependent improvement in lower extremity muscle strength (89). Two other trials also showed that sodium bicarbonate supplementation targeting plasma bicarbonate levels of ≥23 or 24–26 mEq/L was associated with an increase in midarm muscle circumference compared with placebo (90,91). However, other studies failed to show improvements in SF-36 vitality score; midarm muscle circumference; hand-grip strength; sit-to-stand time; or muscle insulin signaling, proteolysis, or inflammation with alkali therapy, when compared with placebo controls (92,93). Despite the remaining question of efficacy for fatigue, sodium bicarbonate supplementation should be considered in patients with CKD who require treatment for metabolic acidosis (90).
Vitamin D Supplementation
To our knowledge, only one study has evaluated the effects of vitamin D supplementation on fatigue and functional status in patients with CKD. A total of 97 participants were randomized to cholecalciferol or placebo, and despite favorable effects on vitamin D, calcium, and parathyroid hormone levels, there were no observed differences between groups in phosphate level, hand-grip strength, or fatigue scores (94).
Selective Serotonin Reuptake Inhibitors
Given the associations of depression with fatigue in patients with CKD, it would follow that treatment of depression may improve fatigue in this patient population. In the CKD Antidepressant Sertraline Trial, a randomized, double-blinded trial of antidepressant therapy in 201 patients with nondialysis CKD, treatment with sertraline versus placebo did not result in improvement in fatigue, measured by the SF-36 vitality score (95). In another 12-week trial of patients on maintenance hemodialysis, the SF-36 vitality subscale was better in those treated with sertraline versus cognitive behavioral therapy (96). However, there was no control arm, and the findings were attenuated toward the null in the multiple imputation analyses (96). An ongoing randomized controlled trial is investigating whether treatment of patients with CKD stages 3b–5 and major depressive disorder with behavioral activation therapy or antidepressant drug bupropion, with augmentation to the combination of both in nonresponders, will improve depression and fatigue (24).
Future Areas of Study
To our knowledge, no interventional studies evaluated the effect of anti-inflammatory therapies, such as cytokine or IL inhibitors, on fatigue in patients with CKD. Other factors that have not been well studied but may be associated with fatigue include cardiovascular disease, OSA, obesity, iron deficiency, restless leg syndrome, pain, disrupted sleep quality, and the presence of other medical or psychiatric comorbidities prevalent in patients with CKD, such as congestive heart failure, diabetes mellitus, and anxiety disorders, to name a few (2,22,23). Further studies of these conditions and targeted interventions, such as sleep aides and hygiene, continuous positive airway pressure therapy, physical therapy, or pain control, would be needed to determine whether they may have a role in the management of fatigue among patients with CKD. Furthermore, it remains unclear whether preventive interventions given in early stages of CKD, such as sodium-glucose cotransporter-2 inhibitors, with the goal of improving long-term kidney and cardiovascular outcomes, may prevent the development of fatigue.
Conclusions
Fatigue is a commonly reported and debilitating symptom among patients with CKD and may begin affecting quality of life as early as CKD stage 2. There is no consensus on the best tool to identify or measure fatigue in this population, and assorted instruments have shown variable associations with clinical parameters and outcomes across studies. The pathophysiology of fatigue in CKD is multifactorial and includes multiple contributors to decreased oxygen delivery and lactic acidosis, chronic metabolic acidosis, protein-energy wasting, hyperphosphatemia, depression, and OSA. The approach to a patient with fatigue should begin with an assessment of factors where one might be able to intervene. These include recognition and treatment of anemia, sleep disorders, and depression. Targeting higher hemoglobin levels with ESAs has associated risks that preclude their indiscriminate use other than on an individualized basis. Interventions targeting depression have not yet proven convincingly beneficial for improving fatigue, but studies are ongoing. Sodium bicarbonate supplementation to treat metabolic acidosis may help improve fatigue and functional status. Physical activity is worth recommending in light of the additional benefits of exercise. Overall, more research is needed to further clarify underlying mechanisms of fatigue and identify effective, targeted treatments in patients with CKD.
Disclosures
M. Bossola reports employment with Università Cattolica Sacro Cuore. L.P. Gregg reports employment with Baylor College of Medicine, Michael E. DeBakey Veterans Affairs Medical Center, and Veterans Affairs Health Services Research and Development Center for Innovations in Quality, Effectiveness and Safety. S.S. Hedayati reports employment with University of Texas Southwestern; honoraria from the American College of Physicians for participation in Nephrology Medical Knowledge Self Assessment Program and the American Society of Nephrology Post-Graduate Education Program; and serving as a scientific advisor or member of American Heart Association study sections, American College of Physicians Medical Knowledge Self Assessment Program Nephrology Committee, and American Society of Nephrology In-Training Examination Committee. M. Ostrosky-Frid reports employment with the University of Texas Southwestern Medical Center.
Funding
M. Ostrosky-Frid was supported by the University of Texas Internal Medicine Physician Scientist Training Program. S.S. Hedayati is supported by National Institute of Diabetes and Digestive and Kidney Diseases grant 1R01DK124379-01 and the Yin Quan-Yuen Distinguished Professorship in Nephrology at the University of Texas Southwestern Medical Center. The study was supported in part by the Center for Innovations in Quality, Effectiveness and Safety (CIN 13-413), Michael E. DeBakey VA Medical Center, Houston, Texas.
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