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Prestroke cognitive decline in africans: Prevalence, predictors and association with poststroke dementia

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OBJECTIVES Pre-existing cognitive decline is a risk factor for stroke onset and poststroke dementia. There is a knowledge gap on prestroke cognitive decline in indigenous Africans. We estimated prevalence and… Click to show full abstract

OBJECTIVES Pre-existing cognitive decline is a risk factor for stroke onset and poststroke dementia. There is a knowledge gap on prestroke cognitive decline in indigenous Africans. We estimated prevalence and predictors of prestroke cognitive decline, as well as its association with poststroke dementia at one year in Nigerian survivors of a first ever stroke. METHODS Prospective observational study. Prestroke cognitive decline was ascertained using an average score > 3.31 on the 16-item Informant Questionnaire for Cognitive Decline in the Elderly (IQ-CODE). Poststroke dementia was ascertained according to the 'National Institute of Neurological Disorders and Stroke and the Association Internationale pour la Recherche et l'Enseignement en Neurosciences (NINDS-AIREN) criteria'. Associations were investigated using multivariate logistic regression models and presented as odds ratios (O.R) within 95% confidence intervals (C.I). RESULTS Among 150 stroke survivors, prestroke cognitive decline was found in 25 (16.7%, 95% C.I = 11.5%-23.6%). In analyses adjusting for the effect of age, education and stroke severity, prestroke cognitive decline was associated with diabetes mellitus (O.R = 3.0, 95% C.I = 1.2-7.6). Ten (62.5%) survivors in the prestroke cognitive decline sub-sample developed dementia at one-year poststroke. In analyses adjusting for the effects of age, education, stroke severity and comorbid diabetes mellitus, survivors with prestroke cognitive decline had six times the odds of dementia at one year poststroke (O.R = 6.2, 95% C.I = 1.3-30.4). CONCLUSION Prestroke cognitive decline is common, assessment is feasible and identifying pre-stroke problems has prognostic implications.

Keywords: prevalence predictors; poststroke dementia; decline; prestroke cognitive; cognitive decline

Journal Title: Journal of the Neurological Sciences
Year Published: 2021

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