Investigating post-stroke fatigue: An individual participant data meta-analysis
Publication in refereed journal

香港中文大學研究人員
替代計量分析
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其它資訊
摘要Objective: The prevalence of post-stroke fatigue differs widely across studies, and reasons for such divergence are unclear. We aimed to collate individual data on post-stroke fatigue from multiple studies to facilitate high-powered meta-analysis, thus increasing our understanding of this complex phenomenon.

Methods: We conducted an Individual Participant Data (IPD) meta-analysis on post-stroke fatigue and its associated factors. The starting point was our 2016 systematic review and meta-analysis of post-stroke fatigue prevalence, which included 24 studies that used the Fatigue Severity Scale (FSS). Study authors were asked to provide anonymised raw data on the following pre-identified variables: (i) FSS score, (ii) age, (iii) sex, (iv) time post-stroke, (v) depressive symptoms, (vi) stroke severity, (vii) disability, and (viii) stroke type. Linear regression analyses with FSS total score as the dependent variable, clustered by study, were conducted.

Results: We obtained data from 14 of the 24 studies, and 12 datasets were suitable for IPD meta-analysis (total n = 2102). Higher levels of fatigue were independently associated with female sex (coeff. = 2.13, 95% CI 0.44-3.82, p = 0.023), depressive symptoms (coeff. = 7.90, 95% CI 1.76-14.04, p = 0.021), longer time since stroke (coeff. = 10.38, 95% CI 4.35-16.41, p = 0.007) and greater disability (coeff. = 4.16, 95% CI 1.52-6.81, p = 0.010). While there was no linear association between fatigue and age, a cubic relationship was identified (p < 0.001), with fatigue peaks in mid-life and the oldest old.

Conclusion: Use of IPD meta-analysis gave us the power to identify novel factors associated with fatigue, such as longer time since stroke, as well as a non-linear relationship with age.
著者Cumming TB, Yeo AB, Marquez J, Churilov L, Annoni J, Badaru U, Ghotbi N, Harbison J, Kwakkel G, Lerdal A, Mills R, Naess H, Nyland H, Schmid A, Tang WK, Tseng B, van de Port I, Mead G, English C
期刊名稱Journal of Psychosomatic Research
出版年份2018
月份10
卷號113
出版社Elsevier
頁次107 - 112
國際標準期刊號0022-3999
電子國際標準期刊號1879-1360
語言美式英語

上次更新時間 2020-15-09 於 01:59