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Published on: May 22, 2019
Factors Associated with Poststroke Fatigue: A Systematic Review
Amélie Ponchel1, Stéphanie Bombois2, Régis Bordet3
1Department of Pharmacology, University of Lille, INSERM U1171, 59045 Lille, France ; Department of Neurology, Stroke Center, University of Lille, INSERM U1171, 59045 Lille, France.
Poststroke fatigue (PSF) is common after a stroke, often linked to emotional and attentional issues, not stroke severity. Understanding these factors is key to improving patient care and developing treatments.
Area of Science:
- Neurology
- Rehabilitation Medicine
- Psychiatry
Background:
- Poststroke fatigue (PSF) is a prevalent and debilitating symptom following a stroke.
- Currently, PSF lacks a universally agreed-upon definition and standardized assessment methods.
- The underlying causes and contributing factors of PSF remain incompletely understood.
Purpose of the Study:
- To systematically identify and characterize factors associated with poststroke fatigue.
- To synthesize current knowledge on the etiology of PSF.
Main Methods:
- Conducted a systematic literature review of studies indexed in MEDLINE.
- Included original research that measured PSF and potential associated factors.
- Extracted data using predefined fields from selected articles.
Main Results:
- PSF is more common in female and older stroke survivors, though sociodemographic factors have minimal impact.
- Strong correlations exist between PSF and emotional disturbances (depression, anxiety).
- Attentional deficits, particularly slowed processing speed, are linked to PSF.
- Stroke type and severity do not show a clear association with PSF.
- Potential contributing mechanisms include frontothalamostriatal system alterations and inflammation.
- Prestroke fatigue, sleep disorders, and pain are also associated with PSF.
Conclusions:
- PSF is multifactorial, with significant links to psychological and cognitive factors.
- Understanding these associations is crucial for enhancing stroke patient care.
- Further research into PSF mechanisms can guide the development of targeted interventions.
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