Profile of and risk factors for poststroke cognitive impairment in diverse ethnoregional groups

Jessica Lo(University of Helsinki), John D. Crawford(University of Helsinki), David W. Desmond(University of Helsinki), Olivier Godefroy(University of Helsinki), Hanna Jokinen(University of Helsinki), Simin Mahinrad(University of Helsinki), Hee‐Joon Bae(University of Helsinki), Jae‐Sung Lim(University of Helsinki), Sebastian Köhler(University of Helsinki), Elles Douven(University of Helsinki), Julie Staals(University of Helsinki), Christopher Chen(University of Helsinki), Xin Xu(University of Helsinki), Eddie Chong(University of Helsinki), Rufus Akinyemi(University of Helsinki), Raj N. Kalaria(University of Helsinki), Adesola Ogunniyi(University of Helsinki), Mélanie Barbay(University of Helsinki), Martine Roussel(University of Helsinki), Byung‐Chul Lee(University of Helsinki), Velandai Srikanth(University of Helsinki), Chris Moran(University of Helsinki), Nagaendran Kandiah(University of Helsinki), Russell J. Chander(University of Helsinki), Behnam Sabayan(University of Helsinki), J. Wouter Jukema(University of Helsinki), Susanna Melkas(University of Helsinki), Timo Erkinjuntti(University of Helsinki), Henry Brodaty(University of Helsinki), Régis Bordet(University of Helsinki), Stéphanie Bombois(University of Helsinki), Hilde Hénon(University of Helsinki), Darren M. Lipnicki(University of Helsinki), Nicole A. Kochan(University of Helsinki), Perminder S. Sachdev(University of Helsinki)
Neurology
November 12, 2019
Cited by 248Open Access
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Abstract

OBJECTIVE: To address the variability in prevalence estimates and inconsistencies in potential risk factors for poststroke cognitive impairment (PSCI) using a standardized approach and individual participant data (IPD) from international cohorts in the Stroke and Cognition Consortium (STROKOG) consortium. METHODS: We harmonized data from 13 studies based in 8 countries. Neuropsychological test scores 2 to 6 months after stroke or TIA and appropriate normative data were used to calculate standardized cognitive domain scores. Domain-specific impairment was based on percentile cutoffs from normative groups, and associations between domain scores and risk factors were examined with 1-stage IPD meta-analysis. RESULTS: In a combined sample of 3,146 participants admitted to hospital for stroke (97%) or TIA (3%), 44% were impaired in global cognition and 30% to 35% were impaired in individual domains 2 to 6 months after the index event. Diabetes mellitus and a history of stroke were strongly associated with poorer cognitive function after covariate adjustments; hypertension, smoking, and atrial fibrillation had weaker domain-specific associations. While there were no significant differences in domain impairment among ethnoracial groups, some interethnic differences were found in the effects of risk factors on cognition. CONCLUSIONS: This study confirms the high prevalence of PSCI in diverse populations, highlights common risk factors, in particular diabetes mellitus, and points to ethnoracial differences that warrant attention in the development of prevention strategies.


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