Ethnicity and risk of diagnosed dementia after stroke: a cohort study using the Clinical Practice Research Datalink. Issue 2 (7th November 2019)

• Record Type: Journal Article
• Authors: Shiekh, Suhail Ismail; Forbes, Harriet; Mathur, Rohini; Smeeth, Liam; Pearce, Neil; Warren-Gash, Charlotte
• Is Part Of: Journal of epidemiology and community health. Volume 74:Issue 2(2020)
• Page Start: 114
• Page End: 119
• Publication Date: 2019-11-07
• Subjects: stroke -- dementia -- ethnicity -- epidemiology; Public health -- Periodicals; Epidemiology -- Periodicals; 614.4
• DOI: 10.1136/jech-2019-212825
• Languages: English
• ISSNs: 0143-005X

Abstract

Abstract : Introduction: The UK has over 1.2 million stroke survivors. Stroke is a major risk factor for dementia, and along with other risk factors such as hypertension and diabetes, is more common among Black, Asian and other ethnic minorities (BAME). We aimed to explore whether diagnosed dementia differed by ethnicity among adult stroke survivors. Methodology: Using the UK Clinical Practice Research Datalink and linked hospital data, we conducted a cohort study among patients aged ≥40 years who had an incident stroke between 2005 and 2016. We fitted multivariable Cox proportional hazard models to estimate ethnic differences in the risk of poststroke dementia, adjusting for major clinical and social confounders. Results: Our cohort comprised 45 474 stroke survivors (mean age 72.6 years, 49% female), of whom 95.7% were White, 2.0% South Asian, 1.2% Black and 1.1% of Mixed/Other ethnicity. Of these, 4624 (10.2%) were diagnosed with poststroke dementia over a median follow-up of 3.26 years. Compared with the White ethnic group, those of Black ethnicity were 42% more likely to be diagnosed with dementia (adjusted HR 1.42, 95% CI 1.05 to 1.93). There was no association between any other ethnic group and poststroke dementia diagnosis. Discussion: There was good evidence that those of Black ethnicity had higher risk of diagnosed dementia poststroke. Further understanding of the mechanisms of this relationship could help target interventions at communities most at risk of dementia poststroke.