PLoS ONE (Jan 2024)

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

  • 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

DOI
https://doi.org/10.1371/journal.pone.0308103
Journal volume & issue
Vol. 19, no. 8
p. e0308103

Abstract

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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.