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. Author manuscript; available in PMC: 2024 Nov 18.
Published in final edited form as: Am J Kidney Dis. 2023 May 13;82(4):464–480. doi: 10.1053/j.ajkd.2023.02.008

Fatigue in Patients Receiving Maintenance Hemodialysis

Maurizio Bossola 1, S Susan Hedayati 2, Astrid D H Brys 3, L Parker Gregg 4,5,6
PMCID: PMC11571972  NIHMSID: NIHMS2033006  PMID: 37187283

Abstract

Fatigue surrounding hemodialysis treatments is a common and often debilitating symptom that impacts patients’ quality of life. Intra-dialytic fatigue develops or worsens immediately prior to hemodialysis and persists through the dialysis treatment. Little is known about associated risk factors or pathophysiology, although it may relate to a classical conditioning response. Post-dialysis fatigue (PDF) develops or worsens after hemodialysis and may persist for hours. There is no consensus on how to measure PDF. Estimates for prevalence range from 20-86%, likely due to variation in methods of ascertainment and participant characteristics. Several hypotheses seek to explain the pathophysiology of PDF, including inflammation, hypothalamic-pituitary-adrenal axis dysregulation, and osmotic and fluid shifts, but none is currently supported by compelling or consistent data. PDF is associated with several clinical factors, including cardiovascular and hemodynamic effects of the dialysis procedure, laboratory abnormalities, depression, and physical inactivity. Clinical trials have reported hypothesis-generating data about the utility of cold dialysate, frequent dialysis, clearance of large middle molecules, treatment of depression, and exercise as potential treatments. Existing studies were often limited by sample size, lack of a control group, observational design, or short intervention duration. Robust studies are needed to establish the pathophysiology and management of this important symptom.

Keywords: fatigue, hemodialysis, post-dialysis fatigue, intra-dialytic fatigue

INTRODUCTION

Patients with end-stage kidney disease (ESKD) receiving hemodialysis (HD) suffer a high burden of symptoms during and after dialysis treatments that adversely impact their quality of life. One of the most common, distressing, and debilitating symptoms is fatigue.1 Fatigue is a complex phenomenon that involves physical, psychological, and emotional components.2 Although unrelenting chronic fatigue is common among patients with ESKD, there are two additional patterns of fatigue in this patient population related to the timing of dialysis sessions: (1) intra-dialytic fatigue (IDF) that develops or worsens immediately before the dialysis session and persists for the duration of the treatment;3 and (2) post-dialysis fatigue (PDF) that develops or worsens after the end of the dialysis session and may persist for hours.4 The aim of this review is to consolidate known information about the measurement, epidemiology, pathophysiology, and potential management of IDF and PDF in patients with ESKD on maintenance HD.

DIFFERENTIATING IDF AND PDF FROM CHRONIC FATIGUE

It is controversial whether IDF and PDF should be considered unique entities or as parts of a cumulative experience chronic fatigue.5 For affected patients, these nuances about the timing of fatigue may be less important than the degree to which they are limited in participation in their daily lives.5 Clinically, it may be difficult to distinguish between IDF, PDF, and chronic fatigue in patients who experience some overlap between these loosely defined categories. Consequently, much of the existing research about fatigue in this patient population either ascertained chronic fatigue or did not specify the timing of symptoms relative to the HD treatment.5-7 Such studies may encompass IDF and PDF without identifying them specifically. However, the pathogenesis of fatigue in patients with kidney disease is likely multifactorial but remains poorly understood,2 and the timing of fatigue relative to the HD treatment may offer some insights into mechanisms and potential treatments. Fatigue that develops or worsens during or after the HD treatment raises the question of whether factors related to dialysis itself may contribute to the increased symptom burden for some patients. Ultimately, whether IDF and PDF either have unique underlying contributing factors or represent heterogeneous manifestations of generalized fatigue, summarizing and organizing what is known about these entities may generate new hypotheses to more effectively manage fatigue in patients with ESKD.

INTRA-DIALYTIC FATIGUE (IDF)

Each HD session is a physiologically and psychologically demanding event that affects mental well-being, metabolism, cardiovascular function, and perfusion. IDF is characterized by fatigue that develops or worsens immediately prior to the start of the HD treatment and persists for the duration of the treatment.3 Fatigue is the most common symptom during the HD procedure, reported by 60-80% of patients,8,9 and appears to be more severe immediately before or during the HD procedure than on non-dialysis days.3,10,11 To further assess the relationship of fatigue severity with the timing of HD, one study showed that fatigue increased significantly during the HD treatment as compared to one hour before the treatment (Figure 1a). This pattern was particularly pronounced in individuals without depressive symptoms, in whom symptoms of fatigue increased significantly from one hour prior to HD to both immediately prior to HD and immediately after the HD treatment (Figure 1b). Individuals with depressive symptoms, on the other hand, reported persistently high levels of fatigue on the dialysis day that were not temporally associated with the HD procedure (Figure 1b).3

Figure 1.

Figure 1.

Course of fatigue on a HD treatment day (a) and its relation to depressive symptoms (b). Reproduced from Brys, et al.3 with permission of the copyright holder (Elsevier).

Abbreviations: BDI-II, Beck Depression Inventory-II; HD, hemodialysis

Data that patient-reported fatigue was higher immediately before HD than on non-dialysis days suggests a possible classical conditioning response to the HD procedure or environment.3,10,11 A similar phenomenon has been described in patients with breast cancer, whose experience of fatigue in anticipation of chemotherapy treatments is associated with their experience of fatigue during previous chemotherapy sessions.12 Other studies have also supported the important role of illness beliefs and behaviors in a patient’s experience of fatigue, although less is known about how these factors may affect IDF specifically.13

At this time, few studies have evaluated IDF, its risk factors, or its pathophysiology. Further research should investigate physical and psychological components to further elucidate this question of a classical conditioning response or other factors that may contribute to IDF.

POST-DIALYSIS FATIGUE (PDF)

Fatigue occurring after dialysis has been better studied than IDF. In qualitative studies, patients have identified PDF as a unique and debilitating form of fatigue, with a consistent theme across studies of feeling “worn out” or “exhausted” after treatment, and the need to “collapse” after HD, with gradual recovery just in time to return for another HD treatment and develop fatigue again.14

Measurement

There is currently no consensus on how to define or measure PDF (Table 1).15-22 One of the more consistently used measures quantifies PDF by the duration, frequency, and intensity of fatigue.15-18,22-24 The most commonly used measure is time to recovery from dialysis (TIRD), a validated indirect measure of PDF in which patients report the time required to recover from an HD session.20,25-31 To address the heterogeneity of existing fatigue measures, the Standardized Outcomes in Nephrology-Hemodialysis (SONG-HD) work group developed and validated a three-item measure to consistently assess fatigue in research and clinical practice.5,6 Patients are asked if, in the last week, they felt tired, lacked energy, or if fatigue limited their usual activities.6 Notably, this measure does not distinguish PDF, IDF, and chronic fatigue, but reflects a cumulative experience of fatigue. Existing measurement instruments assess symptom burden retrospectively, so may overestimate fatigue due to recall bias.32 Novel fatigue assessment methods combining a validated patient-reported outcome measure for fatigue with a real-time digital experience sampling methodology may overcome this limitation and provide more nuanced insight in the relationships of fatigue with clinical, psychological, and behavioral factors, but such tools need to be further studied.32

Table 1.

Measures of PDF

References Measure Benefits Limitations
Lindsay, et al. 200625
Awuah, et al. 201328
Bossola, et al. 201327
Rayner, et al. 201429
Hussein, et al. 201731
Davenport, et al. 201830
Alvarez, et al. 20208
Brys, et al. 202026
Guerraoui, et al. 202120
  • Time to recovery from dialysis (TIRD)

  • Patients were asked “how long does it take you to recover from a dialysis session?”

  • No consensus between studies of how to report this, either as a continuous or a categorical measure

  • Easily interpreted, elicits a clear response, and stable on test-retest25

  • Has been used across several studies

  • Does not incorporate multiple dimensions of fatigue such as severity or frequency

  • No consensus on how to report values

  • Moderately associated with fatigue severity, quality of life, other dialysis-associated symptoms, psychosocial stressors, and ability to engage in social-leisure activity.25

Sklar, et al. 199617
Sklar, et al. 199816
Sklar, et al. 199915
Gordon, et al. 201118
Bossola, et al. 201823
Bossola, et al. 202024
Bossola, et al. 202322
  • Quantify duration, frequency, and intensity of fatigue on 5-point Likert scales

  • If the average of these was ≥4 the patient was considered to have post-dialysis fatigue

  • Incorporates multiple dimensions of PDF

  • Has been used across several studies

  • Variability between patients in interpreting Likert scales

Dubin, et al. 201319
  • Patients answering yes to “after most dialysis sessions, do you have fatigue for 2 hours or less?” were defined as having mild post-dialysis fatigue.

  • Patients answering yes to “after most dialysis sessions, do you have fatigue for more than 2 hours?” were defined as having severe post-dialysis fatigue.

  • Simple and straightforward

  • Does not incorporate multiple dimensions of fatigue such as severity or frequency

  • Does not capture total PDF duration

Guerraoui, et al. 202120
  • Assessed prevalence with a binary question

  • Assessed intensity on a visual analog scale

  • Assessed recovery time on a Likert scale

  • Assesses multiple dimensions of fatigue

  • Variability between patients in interpreting Likert scales and visual analog scales

Brys, et al. 202032
  • Used an experience sampling method to assess fatigue in real time via a smart phone app

  • Gathers data prospectively so is less limited by recall bias than other methods

  • Patients reporting fatigue were separately asked about their degree of mental and physical fatigue

  • Captures changes in a person’s level of fatigue over the course of a day

  • May not be accessible to all

  • More time consuming than other methods

Abbreviations: PDF, post-dialysis fatigue; TIRD, time to recovery from dialysis

Prevalence and Characteristics

Prevalence estimates of PDF range from 20% to 86% (Figure 2a).17-24 Variation in estimates are likely related to different inclusion criteria, ascertainment methods, or definitions of fatigue between studies. For example, in the study reporting the lowest prevalence of 20%, fatigue was only defined as severe fatigue,19 whereas four other studies that used the same ascertainment methods presented consistent results.17,22-24

Figure 2. Prevalence of PDF and TIRD.

Figure 2.

The prevalence of PDF has varied between studies from 20% to 86% depending on how PDF was defined and ascertained (A). The proportion of patients reporting TIRD of various lengths has also varied between studies, with as many as 22.8% reporting needing >12 hours to recover from an HD treatment (B).

*In these studies, patients were asked to report on 5-point Likert scales the duration, frequency, and intensity of fatigue. The patient was considered to have PDF if the average of these was ≥4 points.

Abbreviations: HD, hemodialysis; PDF, post-dialysis fatigue; TIRD, time to recovery from dialysis

With respect to TIRD, one study reported that 79% with PDF recovered within 4 hours, with a mean ± SD TIRD of 206 ±199 minutes.27 Another reported a similar mean TIRD but with greater variance between individuals, 246 ±451 minutes.28 In the Dialysis Outcomes and Practice Patterns Study (DOPPS), 32% of patients reported recovery time shorter than 2 hours, 41% reported 2-6 hours, 17% reported 7-12 hours, and 10% reported longer than 12 hours (Figure 2b).29 Each hour of increased recovery time after dialysis was associated with a 3% increased risk of hospitalization and a 5% increased risk of death.29 Not all studies use the same time cutoffs for TIRD, limiting comparison between studies (Figure 2b).8,20,29-31

Pathogenesis

The causes of fatigue after HD are not clearly understood, although some studies have reported factors associated with PDF or TIRD (Figure 3). Essentially, a few hypotheses have been proposed.

Figure 3. Factors associated with PDF.

Figure 3.

Factors associated with increased PDF can be categorized as the cardiovascular and hemodynamic effects of HD, laboratory abnormalities, and clinical factors.

Abbreviations: HD, hemodialysis; PDF, post-dialysis fatigue

The first is release of inflammatory cytokines such as interleukin (IL)-1, IL-6, IL-10, and tumor necrosis factor-alpha (TNF-α) during and after HD. Data to support this are mixed. One study showed that intradialytic elevation of TNF-α was significantly greater in the PDF group compared to the non-PDF group.33 Conversely, a crossover study showed that although TNF-α levels increased more after HD with a bioincompatible membrane compared to a biocompatible membrane, PDF was not affected, indicating that alterations in TNF-α alone are not sufficient to cause PDF.16 Another study showed no relationship between pre-dialysis, post-dialysis, or change in IL-1β, IL-6, or TNF-α with TIRD, but did find an unexpected relationship between elevated pre-dialysis levels of anti-inflammatory IL-10 and increased TIRD, which warrants further exploration.26

The second hypothesis relates to dysregulation of the hypothalamic-pituitary-adrenal axis, which is a key neuroendocrine system that adapts to emotional, physical, chemical, and immune stressors. These pathways are often disrupted in chronic illnesses associated with fatigue. Elevated cortisol has been associated with fatigue in patients with cancer, multiple sclerosis, and chronic obstructive pulmonary disease, although this relationship is not well studied in patients with kidney disease.34 It is unclear at this time whether the HD procedure impacts these systems in such a way that may contribute to PDF.

Third, some have proposed that rapid shifts in osmolality and fluid during HD may contribute to PDF and other dialysis-associated symptoms.15,18 Existing studies to evaluate this reported inconsistent results. One study showed that the reduction in osmolarity during HD did not differ between patients with and without PDF.33 Studies comparing PDF after dialysis against high-sodium and low-sodium dialysate arrived at conflicting conclusions, though these were often limited by small sample sizes.35-37 Furthermore, changes in brain density and ventricular size were similar in patients receiving standard or rapid dialysis.38 However, other studies reported that longer TIRD was associated with longer HD treatments,29 lower ultrafiltration rate,39 and lower dialysate sodium concentration29,40, which argues against this hypothesis.

Associated Factors

In the setting of these conflicting and limited data, no clear hypothesis currently explains the pathogenesis of PDF. Observational studies identified associated factors that suggest potential intervenable phenomena to improve PDF (Table 2). These can be organized into cardiovascular effects of HD, laboratory abnormalities, and clinical factors (Figure 3).

Table 2.

Studies evaluating factors associated with PDF or TIRD

Reference Study
Design
Participants N PDF measure Factors associated with increased PDF
Cardiovascular effects of HD Laboratory
abnormalities
Clinical factors
Sklar, et al. 199617 Prospective cohort Prevalent ESKD on HD at a single center 85 Average ≥4 for PDF duration, frequency, and intensity on 5-point Likert scales Individuals with fatigue had lower pre-HD and post-HD systolic and DBP Depressive symptoms were higher in those with than without PDF, 11.6±8.0 vs. 7.8±6.3, P=0.02
Lindsay, et al. 200625 Prospective cohort Patients receiving short daily HD, nocturnal HD, or conventional HD 45 TIRD Self-reported dialysis stress, Pearson r=0.35, P<0.001
Self-reported hypotension, Pearson r=0.33, P<0.001
Disease stress, Pearson r=0.37, P<0.001
Psychosocial stress, Pearson r=0.33, P<0.001
Lower engagement in active social-leisure activities, Pearson r=−0.17, P=0.002
Gordon, et al. 201118 Baseline data from the Nandrolone and Exercise Trial Prevalent ESKD on HD for ≥3 months at HD units associated with one academic center in the United States 58 Average of PDF duration, frequency, and intensity on 5-point Likert scales Lower physical activity measured by accelerometer, β=−0,025, P=0.003
Bossola, et al. 201327 Cross-sectional Prevalent ESKD on HD for ≥6 months at a single HD unit in Italy 100 TIRD Depressive symptoms, β=16.10 (SE 4.82), P=0.001
IADL score, Spearman r= −0.29, P=0.02
Dubin, et al. 201319 Prospective cohort Prevalent ESKD on HD at 3 hospitals in the United States 40 PDF for more than 2 hours Change in wall motion abnormality score on echocardiogram was associated with PDF, RR 1.9 (95% CI 1.4, 2.6), P<0.001 Depression, RR 3.4 (95% CI 1.3, 9.0), P=0.01; became non-significant when adjusting for blood pressure and ultrafiltration
Lopes, et al. 201447 Cross-sectional Prevalent ESKD on HD in Brazil (PROHEMO) 800 TIRD Depressive symptoms were higher in those with TIRD <60 vs. 0 minutes, 16.48±9.33 vs. 11.51±8.73, P<0.001. No difference in depressive symptoms for TIRD <60, 60-240, or >240 minutes.
Poorer health-related quality of life in domains of physical functioning, general health, energy/vitality, social functioning, and cognition
Rayner, et al. 201429 Prospective cohort Random sample of patients on maintenance HD from 12 countries (DOPPS) 6,040 TIRD Higher intradialytic weight loss Ultrafiltration rate 5-15 mL/min with longer TIRD than <5 mL/min or >15 mL/min Dialysate sodium <140 mEq/L vs. 140 mEq/L, aOR 1.34 (95% CI 1.11, 1.61) Depression, Spearman r=0.22 across categories of TIRD
Fewer ADLs, r=−0.27
Hussein, et al. 201731 Cross-sectional Prevalent ESKD on HD for ≥60 days 2,689 TIRD Ultrafiltration rate ≥13 mL/kg/hr vs. <10 mL/kg/hr, OR 1.28 (95% CI 1.06, 1.54), P=0.01
Higher post-dialysis weight, OR 1.07 (95% CI 1.03, 1.11), P=0.001 per 10 kg gain
Missed dialysis sessions, OR 1.08 (95% CI 1.02, 1.14), P=0.0001
Higher pre-HD SBP, OR 1.05 (95% CI 1.01, 1.08), P=0.02 per 10 mmHg increase
Lower serum albumin, OR 0.82 (95% CI 0.74, 0.91), P=0.0001 per 0.5 g/dL increase
Bossola, et al. 201823 Cross-sectional Prevalent ESKD on HD for ≥1 year at five HD units in Italy 271 Average ≥4 for PDF duration, frequency, and intensity on 5-point Likert scales ADL score was higher in those without PDF than those with PDF, 5.5±1.1 vs. 5.1±1.6, P=0.009
Bossola, et al. 201849 Cross-sectional Prevalent ESKD on HD for ≥1 year at five HD units in Italy 271 Average ≥4 for PDF duration, frequency, and intensity on 5-point Likert scales Lower dialysate temperature, OR 0.27 (95% CI 0.11, 0.67), P=0.005 Serum albumin, OR 2.78 (95% CI 1.34, 5.75), P=0.006 PDF severity, intensity, duration, and frequency were all more severe in those with low ADL scores.
PDF was associated with ADL score, OR 0.47 (95% CI 0.23, 0.95), P=0.04
Davenport, et al. 201830 Prospective cohort Prevalent ESKD on HD for ≥3 months at five HD units in the United Kingdom 701 TIRD Depressive symptoms as measured by the BDI-II (P<0.001) or the PHQ-9 (P<0.001)
History of depression (P<0.001)
Use of antidepressants (P=0.001)
Urine output < cupful (P=0.01)
Prior transplant status (P=0.02)
Bossola, et al. 201939 Prospective cohort Prevalent ESKD on HD for ≥1 year at five HD units in Italy 210 TIRD Lower ultrafiltration rate associated with longer TIRD, OR 1.11 (95% CI 1.04, 1.22), P=0.04 Functional disability (need for assistance in at least 2 ADLs), OR 0.50 (0.27, 0.94), P=0.03
Debnath, et al. 202046 Cross-sectional Prevalent ESKD on HD for ≥6 months 114 Brief Fatigue Inventory filled out between hours 3 and 4 of the HD session Lower post-HD plasma branched-chain amino acids and leucine and isoleucine associated with fatigue severity, interference, and global fatigue
Zu, et al. 202021 Cross-sectional Prevalent ESKD on HD for ≥6 months at a single HD unit in China 115 PDF for more than 2 hours Intradialytic hypotension, OR 3.82 (95% CI 1.33, 10.98)
Higher ultrafiltration rate, OR 1.14 (95% CI 1.02, 1.28)
Higher post-HD lactic acid level, OR 2.47 (95% CI 1.13, 5.40)
Brys, et al. 202148 Prospective cohort Prevalent ESKD on HD at one HD units in the Netherlands 40 Presence of momentary fatigue on a 7-point Likert scale assessed at several time points per day Negative affect (β=0.23, 95% CI 0.08, 0.38)
Being at home (β=2.37, 95% CI 1.86, 2.88)
Being alone (β=2.36, 95% CI 1.84, 2.89)
Poor sleep quality (β=−0.12, 95% CI −0.18, −0.06)
Debnath, et al. 202110 Prospective cohort Prevalent ESKD on HD for ≥6 months at 2 HD units in the US 115 Brief Fatigue Inventory filled out during the first hour of the HD session and again ~24 hours later Depressive symptoms associated with fatigue severity, interference, and global fatigue on both dialysis days and non-dialysis days (P<0.0001 except for fatigue severity on the dialysis day, P<0.05)
Ozen, et al. 202143 Cross-sectional Prevalent ESKD on HD at a single HD unit in Turkey 86 TIRD Intradialytic hypotension was associated with TIRD above the median, OR 3.14 (95% CI 1.13, 8.77)
Elsayed, et al. 202240 Cross-sectional Prevalent ESKD on HD for ≥3 months at HD units associated with a University Hospital system 191 TIRD More missed dialysis sessions, Spearman r=0.27, P<0.001
Ultrafiltration rate, r=−0.18, P=0.01
Lower dialysate sodium, r=−0.20, P=0.006
Faster dialysate flow, r=0.23, P=0.001
Lower post-HD blood pressure, r=−0.19, P=0.007
Lower phosphate, r=−0.18, P=0.01
Lower albumin, r-0.14, P=0.05
Higher malnutrition inflammation score, r=0.24, P=0.001
Poorer quality of life scores, including effect of kidney disease, r-0.31, P<0.001; burden of kidney disease, r=−0.27, P<0.001; physical composite, r=−0.23, P=0.001; and mental composite, r=−0.35, P<0.001
Bossola, et al. 202322 Cross-sectional Prevalent ESKD on HD for ≥1 year at five HD units in Italy 335 Average ≥4 for PDF duration, frequency, and intensity on 5-point Likert scales Lower ADL score, OR 0.79 (95% CI 0.65, 0.99)

Abbreviations: ADL, activity of daily living; BDI-II, Beck Depression Inventory II; CI, confidence interval; DBP, diastolic blood pressure; DOPPS, Dialysis Outcomes and Practice Patterns Study; HD, hemodialysis; IADL, instrumental activities of daily living; OR, odds ratio; PDF, post-dialysis fatigue; PHQ-9, Patient Health Questionnaire; PROHEMO, Prospective Study of the Prognosis of Hemodialysis Patients; RR, relative risk; SBP, systolic blood pressure; TIRD, time to recovery from dialysis

Cardiovascular effects of HD include higher ultrafiltration volume, intradialytic hypotension, and intradialytic cardiac ischemia. Larger fluid shifts may be associated with PDF, such that longer reported TIRD was associated with higher intradialytic weight loss.29,40 However, TIRD showed a U-shaped association with ultrafiltration rate, such that a rate <5 mL/min or >15 mL/min was associated with shorter TIRD compared to an ultrafiltration rate of 5-15 mL/min.29 Other studies also showed that longer TIRD was associated with lower ultrafiltration rate39,40 and higher post-dialysis weight,31 raising the question of whether factors leading to inability to adequately remove fluid on dialysis may contribute to PDF.

Hypoperfusion during the dialysis procedure may produce fatigue. In one study, higher post-dialysis lactic acid levels were associated with PDF.21 This may indicate relative tissue ischemia during dialysis, which can be seen in the setting of fluid shifts, hypotension, and other cardiovascular effects of HD.41 Intradialytic cardiac ischemia, referred to as myocardial stunning and identified by regional wall motion abnormalities on echocardiogram during and shortly after HD, was associated with fatigue.19 Intradialytic hypotension, one of the most common complications of hemodialysis, increases the risk of heart, brain, and bowel ischemia and may contribute to elevated serum lactic acid levels.21,41,42 However, an association between intradialytic hypotension and PDF has not been clearly established due to conflicting data.17,19,23,31,43

Depletion of branched-chain amino acids during HD may also contribute to PDF by impacting central nervous system neurotransmitter biology.44 Branched-chain amino acids compete with tryptophan for movement into the central nervous system. Higher levels of 5-hydroxytryptamine (a metabolite of tryptophan) cause central fatigue.45 In one study, an association was found between lower post-dialysis plasma levels of branched-chain amino acids and PDF.46

Depressive symptoms and a history of depression have been found in several studies to be associated with PDF and TIRD.3,10,17,19,27,29,30,47 This may be in part due to the inclusion of fatigue as one diagnostic criterion for depression.2 However, other evidence suggests that depressed mood may worsen after episodes of fatigue, suggesting that a temporal relationship may exist between these two symptoms.48

Finally, sedentary behavior and functional disability are also associated with PDF and longer TIRD.18,25,49 This is consistent with the common observation that chronic fatigue in patients on HD is associated with poorer physical functioning.50 These relationships have been primarily identified in cross-sectional analyses, so it remains unclear to what degree poor physical functioning may lead to fatigue or vice versa.

Management

Several studies have evaluated treatments for PDF or to reduce TIRD, primarily as one outcome among several dialysis-associated symptoms. Studied interventions can be categorized as changes in the HD prescription, treatment of depression, and exercise (Box 1). Many of these studies employed small sizes, had short intervention duration, or were performed prior to modern dialysis techniques, which limits interpretation (Table 3).

Box 1. Interventions that have been studied to improve PDF or TIRD.

Modifications to dialysate composition or temperature
 Increased dialysate tonicity
  High dialysate sodium
  Sodium modeling protocols
  Glucose-enriched dialysate
 Cool dialysate temperature
Other modifications to hemodialysis prescription
 Increased HD frequency
 Increased clearance of middle molecules via HDF or expanded dialysis
Cognitive Behavioral Therapy
Physical activity
 Intra-dialytic exercise
 Exercise on non-dialysis days
Other interventions
 Steroids
 Erythropoietin stimulating agents
 Sacubitril/valsartan
 Acupuncture and acupressure
 Carnitine supplementation

Abbreviations: HDF, hemodiafiltration; PDF, post-dialysis fatigue; TIRD, time to recovery from hemodialysis

Table 3.

Studies evaluating interventions for PDF or TIRD

Reference Study Design N Intervention Control Total
Duration
Fatigue Results
High dialysate sodium
Sadowski, et al. 199336 Multiple crossover trial 16 3 sodium modeling protocols to decrease dialysate sodium from 148 to 138 mEq/L Constant dialysate sodium 138 mEq/L 8 weeks Higher odds of fatigue improvement with sodium modeling (combined data from 3 sodium modeling programs), OR 3.6 (95% CI 2.0, 6.4)
Levin, et al. 199637 Crossover RCT 16 Ramped hypertonic sodium dialysis Standard dialysis 6 weeks 56% in the intervention group reported improved energy for recreational activities
Sang, et al. 199735 Crossover RCT 23 2 protocols (stepwise and linear) for dialysate sodium ramping from 155 to 140 mEq/L Constant dialysate sodium 140 mEq/L 6 weeks No difference in fatigue presence in the 12 hours after HD.
Fatigue the day after dialysis was lower in the control group than the stepwise protocol (P=0.003) but not different than the linear protocol (P=0.08).
Basile, et al. 200159 Non-randomized prospective interventional study 19 Real time sodium modeling and ultrafiltration control via biofeedback mechanism Constant dialysate conductivity Variable, 14-30 months Higher PDF in the sodium modeling group (6.2±0.2 vs. 4.3±0.1, P<0.0001).
Glucose-enriched dialysate
Leski, et al. 197961 Randomized multiple crossover 10 Dialysate with 400 mg/dL glucose Glucose-free dialysate 4 weeks PDF decreased from 0.75±0.77 at baseline to 0.50±0.72 after glucose-enriched dialysate, P<0.01.
Raju, et al. 198260 Crossover, unclear if randomized 17 Dialysate with 200 mg/dL glucose Glucose-free dialysate Unclear Decrease in PDF frequency in glucose-enriched dialysate group
Raimann, et al. 201062 Crossover RCT 30 Dialysate with 200 mg/dL glucose Dialysate with 100 mg/dL glucose 6 weeks More severe fatigue in the 200 mg/dL group among those with DM (5.0±1.0 vs. 4.2±1.1, P<0.05) but no difference in those without DM (3.5±1.9 vs. 3.0±1.6, P=0.23)
Cool dialysate
Ayoub, et al. 200466 Non-randomized crossover trial (cool dialysate followed by standard) 10 35.0°C dialysate 36.5°C dialysate 2 weeks 8 (80%) felt more energetic with cooler dialysate
Azar, et al. 200963 Non-randomized crossover trial (standard dialysate followed by cool) 50 35.0°C dialysate 37.0°C dialysate 2 weeks 76% reported feeling more energetic with cool dialysate. TIRD 1.4±0.9 hours in 35°C group vs. 9.9±6.3 in 37°C group, P<0.001.
Teruel, et al. 200664 Non-randomized crossover trial (standard dialysate followed by cool) 31 35.5°C dialysate 37.0°C dialysate 2 weeks PDF was lower in the cool dialysate group than the standard dialysate group, mean (SD) 1.3 (1.0) in the standard group vs. 1.0 (0.9) in the cool group, P<0.05.
Sajadi, et al. 201665 Crossover RCT 46 35.5°C dialysate 37.0°C dialysate 2 weeks Fatigue score decreased 31.3% from baseline with cool dialysate. Behavioral, emotional, cognitive, and sensory fatigue domains improved from baseline in cool dialysate group.
Garg, et al. 202267 Pragmatic cluster RCT 15,413 Personalized cooler dialysate temperature 36.5°C dialysate 4 years Fatigue (timing relative to HD not specified) assessed among 445 participants. No difference between groups, OR 0.81 (95% CI 0.56, 1.18).
HD frequency or duration
Maduell, et al. 200369 Single arm trial 8 Transition from on-line HDF 3 times per week to short daily online HDF None 6 months From baseline to 4 weeks PDF scores decreased for intensity (1.88±1.2 vs. 0.38±0.7, P<0.01) and duration (1.75±1.4 vs. 0.25±0.5, P<0.01).
Jaber, et al. 201068 Prospective cohort 239 Transition to at-home HD 6 days per week None 12 months TIRD decreased from baseline (473 minutes [IQR 385, 561]) to month 4 (240 minutes [IQR 172, 308], P<0.001) and month 12 (237 minutes [IQR 168, 306], P<0.001)
Garg, et al. 201770 Parallel arm RCT 245 6 days per week HD 3 days per week HD 12 months Greater improvement in TIRD from baseline to 12 months in the frequent HD arm, between-groups difference −84 minutes (95% CI −89, −80, P<0.0001).
Davenport, et al. 201971 Retrospective cohort 709 Incremental HD* Standard HD 12 months Higher odds of TIRD <1 hour (OR 1.49 [95% CI 1.01, 2.18]) and <4 hours (OR 1.58 [95% CI 1.14, 2.19]) in the incremental HD group. No difference in TIRD < 8 hours or <12 hours.
Clearance of middle molecules
Karkar, et al. 201573 Parallel arm RCT 72 High efficiency post-dilution on-line HDF High-flux HD 24 months Improved PDF in on-line HDF arm, 61±18 vs. 10±9, P<0.0001.
Smith, et al. 201772 Crossover RCT 100 Postdilution HDF HD 16 weeks No difference in TIRD, median 47.5 minutes (IQR 0, 240) for HDF vs. 30 minutes (0, 210) for HD, P=0.9.
Bolton, et al. 202174 Retrospective cohort 58 Implementation of expanded dialysis** None 12 months Shorter median (IQR) TIRD from baseline (210 minutes [7.5, 600]) to 6 months (60 minutes [0, 210], P=0.002) and 12 months (105 [0, 180], P=0.001]).
CBT
Mehrotra, et al. 201975 Parallel arm RCT 120 CBT Sertraline 12 weeks Fatigue improved from baseline to week 12 in both groups and was more favorable at week 12 in the sertraline group than the CBT group (between-groups effect estimate of 10.2 points [95% CI 1.3, 19.0], P=0.02].
Picariello, et al. 202176 Parallel arm feasibility RCT 24 Tailored CBT self-management intervention aimed at fatigue Wait list 3 months Standardized mean difference in fatigue severity was 0.81 (95% CI −0.67, 2.29), favoring the intervention group.
Exercise and physical activity
Malagoni, et al. 200880 Non-randomized trial 31 Walking sessions on non-dialysis days Control with no intervention 6 months From baseline to 6 months the exercise group had improvement in PDF score (2.8±1.4 vs. 2.3±1.6, P<0.05) and TIRD (3.4±2.8 hours vs. 2.6±3.1 hours, P<0.05), but there was no significant difference between groups at 6 months.
Devagourou, et al. 202179 Non-randomized trial 64 Low intensity intra-dialytic exercises Usual care 6 weeks At 6 weeks fatigue was lower in the exercise group than the control group (13.1±4.9 vs. 19.2±5.0, P=0.001.
Grigoriou, et al. 202178 Single arm trial 20 Supervised intra-dialytic combined aerobic and resistance exercise None 9 months From baseline to 9 months there was a decrease in PDF severity (1.7±0.6 vs. 1.3±0.6, P<0.05) and duration (1.8±0.7 vs. 1.1±0.8, P<0.05), but there was no change in PDF frequency.
*

Incremental dialysis refers to individualizing HD prescription by decreasing dialysis time based on the patient’s residual kidney function. Standard dialysis refers to dialysis prescriptions that did not account for residual kidney function.

**

Expanded dialysis refers to the use of medium cut-off membranes designed to increase the clearance of large middle molecules.

Abbreviations: CBT, cognitive behavioral therapy; CI, confidence interval; ESA, erythropoietin stimulating agent; HDF, hemodiafiltration; IQR, interquartile range; OR, odds ratio; PDF, post-dialysis fatigue; RCT, randomized controlled trial; TIRD, time to recovery from hemodialysis

Dialysate composition and temperature

Since the 1970s, high dialysate sodium concentration has been considered as an intervention to improve PDF as a method to minimize osmotic shifts.52-58 In the 1990s, a small multiple crossover trial showed that exponential, linear, and stepwise sodium modeling protocols to decrease dialysate sodium concentration from 148 to 138 mEq/L over the course of the treatment resulted in lower rates of fatigue between HD sessions compared to a control dialysate with a constant sodium concentration of 138 mEq/L.36 Another crossover trial that compared ramped hypertonic sodium dialysis to standard dialysis showed that 9 of 16 (56%) participants reported improved energy for recreational activities on the hypertonic dialysis protocol.37 Another trial showed the opposite effect: that dialysate sodium ramping from 155 to 140 mEq/L had a trend toward higher fatigue in the 12 hours after HD compared to a constant dialysate sodium concentration of 140 mEq/L.35 Another trial in 19 individuals showed higher PDF after HD using a biofeedback mechanism for real-time sodium modeling and ultrafiltration rate control compared to treatments with constant dialysate conductivity.59 It is unknown whether adequately powered trials using modern dialysis techniques and equipment would support the use of sodium modeling to address PDF. There are also other concerns about the consequences of sodium modeling, including weight gain and thirst, that limit its use.

As an alternative means to decrease osmotic shifts, two small studies evaluated whether dialysate enriched with glucose may decrease the frequency or severity of PDF. These studies, conducted in 1979 (N=10) and 1982 (N=17), showed lower PDF after dialysis using glucose-enriched dialysate compared to glucose-free dialysate.60,61 Only one more recent study has been published on this topic, although it did not distinguish between PDF and chronic fatigue. Using a randomized crossover design to compare dialysate glucose of 100 mg/dL to 200 mg/dL in 30 patients, the study reported that higher glucose dialysate was associated with more severe fatigue among those with diabetes mellitus, but there was no difference among those without diabetes.62 These results appear to conflict with those of the older trials and argue against the osmotic shift theory of PDF.

Small trials reported that decreasing dialysate temperature to 35-35.5°C rather than the standard temperature of 37°C may favorably impact PDF.63-66 In one clinical trial, 8 of the 10 participants reported feeling more energetic after dialysis with 35°C dialysate compared to 36.5°C dialysate, although severity of PDF was not measured.66 Another randomized crossover study identified that various dimensions of fatigue, including behavioral, emotional, cognitive, and sensory domains, all improved from baseline after dialysis with cold dialysate, but not with 37°C dialysate.65 In addition to showing favorable effects on PDF and TIRD, in crossover trials low dialysate temperature was also associated with higher blood pressure,63-66 fewer intradialytic hypotensive episodes,66 lower heart rate,63,64 higher clearance,63 and higher ultrafiltration.66 Although it had been hypothesized that these hemodynamic and diffusive effects may explain the improvement in PDF, this has not been clearly demonstrated. Furthermore, the MyTEMP large pragmatic trial showed no difference in tiredness between the cool and standard dialysis groups, but failed to demonstrate hemodynamic or cardiovascular benefit of lower dialysate temperature and was poorly tolerated by many participants, limiting its potential utility.67

HD frequency and duration

Increased HD frequency may also favorably impact PDF. One observational cohort study of patients transitioning to at-home HD 6 days per week showed that TIRD decreased significantly at month 4 and month 12 as compared to baseline.68 Another single-arm study transitioned patients on thrice weekly on-line hemodiafiltration to short daily on-line hemodiafiltration and showed that daily treatments were associated with a dramatic improvement in the intensity and duration of PDF.69 In the Frequent Hemodialysis Network studies, 6 days per week HD led to a greater improvement in TIRD from baseline to 12 months compared to 3 days per week HD.70 Such short daily treatments typically involved decreased total fluid and solute shifts per treatment, but it remains unclear if these factors underlie the improvement seen in PDF.

One prospective observational cohort from the United Kingdom evaluated patients at five HD centers, four of which provided “standard HD” that did not account for residual kidney function, and one of which provided “incremental dialysis,” in which they individualized HD prescriptions by decreasing dialysis time based on the patient’s residual kidney function.71 The incremental dialysis group had a higher odds of TIRD less than 1 hour and less than 4 hours, suggesting that such individualized dialysis prescriptions may merit further investigation.

Clearance of middle molecules

Studies have shown conflicting results as to whether hemodiafiltration, which is intended to increase clearance of middle molecules such as inflammatory cytokines, may decrease PDF as compared to HD. One crossover study of 100 patients showed no difference.72 Another parallel arm randomized trial found that high efficiency post-dilution on-line hemodiafiltration improved PDF compared to high-flux HD.73 This study continued treatment for 24 months, which is longer than most other trials of dialysis interventions that evaluated PDF and may account for time-dependent treatment effects.

Conducting dialysis with newer medium cut-off membranes designed to increase the clearance of large middle molecules is referred to as expanded dialysis. One retrospective cohort study showed that after implementation of expanded dialysis at their center, patients reported shorter TIRD as soon as 6 months after baseline.74 This analysis excluded the 33% of participants who died or dropped out of the study by 12 months, which limits interpretation of the results.

Treatment of depression and other psychological interventions

Only one clinical trial, A Trial of Sertraline vs. Cognitive Behavioral Therapy For End-Stage Renal Disease Patients with Depression (ASCEND), evaluated the effect of treatment of depression with either sertraline or cognitive behavioral therapy (CBT) on fatigue among 120 patients on maintenance HD.75 Fatigue improved from baseline to week 12 in both groups. Fatigue scores were more favorable at week 12 in the sertraline group (mean score 53.0 [95% CI 45.7, 60.3]) as compared to the CBT group (mean score 39.2 [95% CI 33.4, 44.9]), with a between-groups effect estimate of 10.2 (95% CI 1.3, 19.0), P=0.02. In interpreting these results, it must be considered that fatigue was slightly more favorable at baseline in the sertraline group (mean score 36.0 [95% CI 30.6, 41.4]) than in the CBT group (mean score 28.4 [95% CI 23.0, 33.9]).75 This trial had no untreated arm to determine whether these interventions had a more favorable effect on fatigue than a control condition, and did not distinguish PDF from chronic fatigue. Another randomized feasibility trial of CBT vs. wait list for fatigue in patients on HD showed moderate to large treatment effects in favor of CBT for fatigue.76 Results of a trial evaluating the effect of a flexible intervention involving CBT and pharmacotherapy on the symptom cluster of depression, fatigue, and pain are eagerly anticipated.77

Exercise and Physical Activity

Small clinical trials have shown a benefit of physical activity for improving PDF in patients on maintenance HD. Interventions have included intra-dialytic exercise78,79 and walking sessions on non-dialysis days.80 Important considerations exist when implementing an exercise regimen. Fatigue itself is a common reason people may decline to participate in physical activity.81,82 A focus group also highlighted the importance of patients’ choice of exercise modality and timing, the importance of ensuring the safety of the HD vascular access during exercise, and a desire for achievable regimens.82 Optimizing participation may require the presence of a trainer; one study of intradialytic exercise showed that when a kinesiologist was not present, participants were far more likely to refuse the session and report they were too fatigued to participate.81 The authors concluded that the presence of a professional may be a motivating factor to improve adherence to exercise interventions.

Other interventions

A few additional interventions have been studied for fatigue in patients on maintenance HD with some success. Several trails have evaluated the effects of erythropoiesis stimulating agents on fatigue in patients on maintenance hemodialysis, supporting overall that management of anemia with these agents may improve fatigue.83 One small clinical trial in 29 patients showed that individuals receiving the anabolic steroid nandrolone for 6 months had a decrease in self-reported fatigue from baseline, while the placebo group had no change in fatigue.84 One small single-arm study showed that sacubitril/valsartan improved fatigue and quality of life compared to baseline in addition to improving cardiovascular parameters.85 Several studies have shown that acupuncture or acupressure may be effective for reducing fatigue in patients on maintenance HD.86-89 Some studies have also evaluated the effect of carnitine supplementation on fatigue without evidence to support its efficacy.90 These studies generally evaluated fatigue globally without discerning PDF from chronic fatigue.

SUMMARY AND CONCLUSIONS

Despite being a high priority for patients, fatigue temporally associated with maintenance HD treatments is an under-investigated phenomenon among patients with ESKD. The most frequently used measure to quantify PDF is TIRD, but otherwise consistent measures of IDF and PDF are lacking. Despite the importance of these symptoms to patients, the pathogenesis and management remain poorly understood due to small, older studies, lack of control groups, largely observational data, short intervention durations, and inability to elucidate underlying pathophysiology. Overall, data suggest that hemodynamic and osmotic effects of the HD treatment itself as well as psychological factors may contribute to fatigue, but causes and treatments of IDF and PDF have not been definitively identified. Because of the multifactorial nature and variability of fatigue patterns between patients, treatments will likely need to be tailored to each individual. In the modern era with innovation in dialysis delivery as an expressly stated priority, improvement in patients’ experience of fatigue surrounding dialysis treatments should be further studied to improve understanding of the underlying mechanisms and to develop effective therapeutic strategies.

ACKNOWLEDGEMENTS

The opinions expressed reflect those of the authors and not necessarily those of the Department of Veterans Affairs or the NIDDK.

FUNDING

LPG is supported by a VA Clinical Sciences Research & Development Career Development Award (IK2CX002368). This work was supported in part by the Houston VA Health Services Research & Development Center for Innovations grant (CIN13-413). SH is supported by grants 3R01DK124379-03S1 and R01DK124379 from the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK). MB and ADHB declare no funds received for this work. The funding sources did not have a role in defining the content of this manuscript.

Footnotes

DISCLOSURES

Authors have nothing to disclose.

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