The prevalence of fatigue in maintenance hemodialysis in China: a Meta- analysis / 中国实用护理杂志

ABSTRACT

Objective To evaluate the prevalence and distribution characteristics of fatigue in maintaining hemodialysis in China. Methods Literature search was conducted to collect cross-sectional studies on the prevalence of fatigue in maintenance hemodialysis in PubMed,The Cochrane Library, Embase, Web of Science,China National Knowledge Internet,China Biology Medicine and Wan Fang Data. The studies were selected according to the exclusion and inclusive criteria and the qualities of studies were evaluated. Meta-analysis was performed with software of Stata 14.0. Results A total of 19 studies, including a total size of 3171 and 2253 patients of fatigue,were eligible for inclusion in the review.The prevalence of fatigue by analyzing the effect size was 72.1％(95％ CI 63.6％-80.6％),the prevalence of mild to moderate fatigue by analyzing the effect size was 15.8％(95％ CI 7.0％-24.7％), 43.6％(95％ CI 40.1％-47.1％) and the prevalence of severe fatigue was 19.8％(95％CI 12.0％-27.6％).Subgroup analyses indicated that the fatigue rate of female maintenance hemodialysis was higher than male,the prevalence level estimated by the Piper Fatigue revised scale was higher than other tools(80.8％),the prevalence level estimated by the Vitality Subscale of the SF-36 (SF-36 VS), Short-Form Health Survey was lower than other tools(46.8％).The fatigue rate in the central and western areas were higher than that of the eastern region.The harder the economic was,the higher the prevalence of fatigue was.The prevalence of fatigue in the population dialysis aged 6 to 10 years was lower than that in dialysis age≤5 and dialysis age>10 years. Sensitivity analysis showed that the pooled effect size had good stability and reliability. ConclusionS The prevalence of fatigue in maintenance hemodialysis in China is high,which suggest that we should paymore attention to this situation.There are differences in the prevalence of fatigue in maintenance hemodialysis patients on different scales, areas, sex, dialysis years, and economic.