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Characterization and individual-level prediction of cognitive state in the first year after 'mild' stroke.

Authors :
Juan Pablo Saa
Tamara Tse
Gerald Choon-Huat Koh
Philip Yap
Carolyn M Baum
David E Uribe-Rivera
Saras M Windecker
Henry Ma
Stephen M Davis
Geoffrey A Donnan
Leeanne M Carey
Source :
PLoS ONE, Vol 19, Iss 8, p e0308103 (2024)
Publication Year :
2024
Publisher :
Public Library of Science (PLoS), 2024.

Abstract

BackgroundMild stroke affects more than half the stroke population, yet there is limited evidence characterizing cognition over time in this population, especially with predictive approaches applicable at the individual-level. We aimed to identify patterns of recovery and the best combination of demographic, clinical, and lifestyle factors predicting individual-level cognitive state at 3- and 12-months after mild stroke.MethodsIn this prospective cohort study, the Montreal Cognitive Assessment (MoCA) was administered at 3-7 days, 3- and 12-months post-stroke. Raw changes in MoCA and impairment rates (defined as MoCAResultsParticipants' (n = 119) MoCA scores improved from baseline to 3-months (pConclusionMore than half of mild-stroke survivors are at risk of cognitive decline one year after stroke, even when preceded by a significantly improving pattern in the first 3-months of recovery. Physical activity was the only modifiable factor independently associated with cognitive recovery. Individual-level prediction methods may inform the timing and personalized application of future interventions to maximize cognitive recovery post-stroke.

Subjects

Subjects :
Medicine
Science

Details

Language :
English
ISSN :
19326203
Volume :
19
Issue :
8
Database :
Directory of Open Access Journals
Journal :
PLoS ONE
Publication Type :
Academic Journal
Accession number :
edsdoj.27806803bbc443f780a2822160ef5d41
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.pone.0308103