Renal Failure · 2016 · 59 citations · 45 references
MedicineInternal MedicineNephrologyFunctional AssessmentHemodialysisSleep MedicineFatigueHealth Status MeasurementHealth-related Quality Of LifeHealth-related Quality Of Life MeasurementMaintenance DialysisMaintenance HemodialysisContinuous HemodialysisDisease-related FatigueFatigue MeasurementMedical Records ReviewSleep Disorders In HemodialysisSleep Disturbances In DialysisSocial Functioning AssessmentSocial Functioning Impairment
BACKGROUD: Fatigue is considered as a common symptom in patients with end-stage renal disease (ESRD) and can significantly decrease patients' quality of life. This study aimed to assess fatigue in hemodialysis patients and to investigate risk factors of fatigue in Chinese patients receiving maintenance hemodialysis (MHD) in China. METHODS: Eligible patients completed questionnaires including demographic information, a Chinese version of the Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-Fatigue), the Family APGAR Index (APGAR), the medical outcomes study health status-Social Functioning subscale (SF-36,SocF), and the Pittsburgh sleep quality index (PSQI). Laboratory parameters were abstracted by medical records review. The multiple linear regression model was used to relate parameters with the FACIT-Fatigue score. RESULTS: A total of 345 MHD patients (216 men and 129 women, age 55.6 ± 12.8) were recruited in this study. The score of FACIT-Fatigue was 39 (Interquartile Range, 31-44). Fatigue was correlated with PSQI scores (p < 0.001), SocF scores (p < 0.001), comorbidity (p = 0.006), exercise time <1 hour per day (p = 0.003), adequacy of dialysis (Kt/V) < 1.2 (p = 0.016), APGAR scores (p = 0.014), and high Scr (p = 0.043). CONCLUSIONS: Fatigue is related to sleep disturbance, social and family functioning, taking physical exercise time, comorbidity condition, Kt/V and serum creatinine level in Chinese MHD patients. Future studies and interventions should focus on developing strategies and improving the quality of life in patients by addressing these significant contributing factors.
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