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Published on: March 15, 2024
Investigating post-stroke fatigue: An individual participant data meta-analysis
Toby B Cumming1, Ai Beng Yeo2, Jodie Marquez2
1Florey Institute of Neuroscience and Mental Health, University of Melbourne, Australia; Centre of Research Excellence in Stroke Rehabilitation and Brain Recovery, Australia.
Post-stroke fatigue is linked to female sex, depression, longer time since stroke, and disability. A non-linear relationship with age was identified, with fatigue peaking in mid-life and the oldest age groups.
Area of Science:
- Neurology
- Psychiatry
- Public Health
Background:
- Post-stroke fatigue prevalence varies significantly across studies, with unclear underlying reasons.
- Understanding fatigue is crucial for improving stroke survivor quality of life.
Purpose of the Study:
- To conduct an Individual Participant Data (IPD) meta-analysis to investigate post-stroke fatigue and its associated factors.
- To increase statistical power for identifying novel associations with post-stroke fatigue.
Main Methods:
- An IPD meta-analysis was performed using data from 12 studies (n=2102) that utilized the Fatigue Severity Scale (FSS).
- Linear regression analyses were conducted with FSS total score as the dependent variable, accounting for study clustering.
- Key variables included FSS score, age, sex, time post-stroke, depressive symptoms, stroke severity, disability, and stroke type.
Main Results:
- Higher fatigue levels were independently associated with female sex, depressive symptoms, longer time since stroke, and greater disability.
- A significant cubic relationship between fatigue and age was observed, with peaks in mid-life and among the oldest individuals.
- No linear association was found between fatigue and age.
Conclusions:
- IPD meta-analysis identified longer time since stroke and a non-linear age relationship as novel factors associated with post-stroke fatigue.
- Findings highlight the complex interplay of demographic, clinical, and temporal factors in post-stroke fatigue.
- Further research can leverage IPD to refine understanding and management of post-stroke fatigue.
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