Fatigue characteristics on dialysis and non-dialysis days in patients with chronic kidney failure on maintenance hemodialysis

Debnath, Subrata; Rueda, Rain; Bansal, Shweta; Kasinath, Balakuntalam S.; Sharma, Kumar; Lorenzo, Carlos

doi:10.1186/s12882-021-02314-0

Cited by 29 publications

(16 citation statements)

References 43 publications

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“…Several studies showed that fatigue in patients receiving HD is associated with poor outcomes, including reduced sleep quality 125 , poor quality of life (QOL) 126 , increased CVD 127 , increased hospitalization 127 and increased all-cause mortality 125 , 127 . Fatigue is most severe on dialysis days compared with non-dialysis days 128 .…”

Section: Global Patient-reported Outcomesmentioning

confidence: 99%

Epidemiology of haemodialysis outcomes

et al. 2022

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Haemodialysis (HD) is the commonest form of kidney replacement therapy in the world, accounting for approximately 69% of all kidney replacement therapy and 89% of all dialysis. Over the last six decades since the inception of HD, dialysis technology and patient access to the therapy have advanced considerably, particularly in high-income countries. However, HD availability, accessibility, cost and outcomes vary widely across the world and, overall, the rates of impaired quality of life, morbidity and mortality are high. Cardiovascular disease affects more than two-thirds of people receiving HD, is the major cause of morbidity and accounts for almost 50% of mortality. In addition, patients on HD have high symptom loads and are often under considerable financial strain. Despite the many advances in HD technology and delivery systems that have been achieved since the treatment was first developed, poor outcomes among patients receiving HD remain a major public health concern. Understanding the epidemiology of HD outcomes, why they might vary across different populations and how they might be improved is therefore crucial, although this goal is hampered by the considerable heterogeneity in the monitoring and reporting of these outcomes across settings.

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Section: Global Patient-reported Outcomesmentioning

confidence: 99%

Epidemiology of haemodialysis outcomes

et al. 2022

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“…Fatigue is commonly experienced by patients undergoing hemodialysis and has a negative effect on their quality of life [ 1 ]. Its prevalence rate ranges from 60-97% among hemodialysis patients [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

Factors Associated With Fatigue in Patients Undergoing Hemodialysis

Tsirigotis¹,

Polikandrioti²,

Alikari³

et al. 2022

Cureus

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Background and objectiveFatigue is frequently experienced by patients undergoing hemodialysis and it has a negative effect on their quality of life. The aim of this study was to investigate the factors associated with fatigue in patients undergoing hemodialysis. MethodsIn this quantitative cross-sectional study, 100 patients on hemodialysis participated. Fatigue was evaluated via the Modified Fatigue Impact Scale (MFIS). Participants also completed a questionnaire about demographics and clinical characteristics. The Kruskal-Wallis test, the Mann-Whitney U test, and Spearman's rho criterion were used to assess the association between fatigue score and patient characteristics. Multiple linear regression was performed to assess the effect of the characteristics on patients' fatigue. ResultsStatistically significant high levels of physical or mental fatigue were found in older patients (p=0.001 and p=0.001), divorced/widowed patients (p=0.001 and p=0.014), those who had children (p=0.019), those who had primary education (p=0.015), those who were not informed about their health problems (p=0.003 and p=0.006), those who had comorbid diseases (p=0.001 and p=0.001), those who believed that regular information did not help to reduce stress (p=0.005 and p=0.004), patients who had insomnia (p=0.001 and p=0.001), patients who felt tired after hemodialysis (p=0.001 and p=0.001), those who thought they had a change in body image (p=0.001 and p=0.001), those who often felt stiffness (p=0.001 and p=0.001), those who sometimes felt nausea (p=0.015 and p=0.038), and those who had limitations in the clothes they could wear (p=0.001 and p=0.001). ConclusionsThe findings of this study showed that physical or mental fatigue had a strong association with advanced age, comorbidities, marital status, level of education, inadequate information about the disease, insomnia, and change in body appearance. Hence, renal professionals need to properly educate dialysis patients on the complicated nature of fatigue in order to manage it effectively and improve their physical, cognitive, and social wellbeing.

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“…Third, the disease and treatment characteristics and physiological indicators could not be controlled for. The factor that fatigue may be higher on the day of dialysis [ 17 ] was not considered. Fourth, recall bias could have occurred because subjectively perceived QoL and the level of related factors were identified.…”

Section: Limitationsmentioning

confidence: 99%

“…Fatigue is one of the most common symptoms complained of by more than 70% of patients on dialysis [ 11 ]; it is known that the cause of this fatigue is related to demographic factors, physiological conditions, psychological conditions, biochemical factors, and behavioral factors [ 15 , 16 ]. Patients have the highest level of fatigue immediately after dialysis but may complain of fatigue symptoms, such as weakness, lack of energy, and poor concentration, even on those days without dialysis [ 17 ]. These factors cause patients to experience fatigue and low QoL.…”

Section: Introductionmentioning

confidence: 99%

Effect of Uncertainty in Illness and Fatigue on Health-Related Quality of Life of Patients on Dialysis: A Cross-Sectional Correlation Study

Cho

Hong²,

Kim

2022

Healthcare

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This study aimed to determine the effect of uncertainty in illness and fatigue on the health-related quality of life of patients on dialysis. A community-based cross-sectional study was conducted among patients on hemodialysis (n = 80) and peritoneal dialysis (n = 81) in Korea. Data were collated using self-reported structured questionnaires. Multiple regression analysis was used to identify those factors affecting the physical and mental health-related quality of life of patients. Patients on peritoneal dialysis reported higher levels of fatigue (p < 0.001). Factors affecting the physical health-related quality of life of patients on dialysis were fatigue (p < 0.001), employment (p = 0.001), and exercise (p = 0.016), thus explaining the observed variance of 37%. Factors affecting mental health-related quality of life were fatigue (p < 0.001), uncertainty (p = 0.004), educational level (p = 0.005), and smoking (p = 0.035). To improve the health-related quality of life of patients on dialysis, clinicians should assess their fatigue levels and plan multidisciplinary interventions to manage it. In addition, education level and employment status should be considered, and tailored interventions should be provided to acquire positive coping strategies and health promotion behaviors to counter disease uncertainty.

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Fatigue characteristics on dialysis and non-dialysis days in patients with chronic kidney failure on maintenance hemodialysis

Cited by 29 publications

References 43 publications

Epidemiology of haemodialysis outcomes

Epidemiology of haemodialysis outcomes

Factors Associated With Fatigue in Patients Undergoing Hemodialysis

Effect of Uncertainty in Illness and Fatigue on Health-Related Quality of Life of Patients on Dialysis: A Cross-Sectional Correlation Study

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