BACKGROUND: Limited data are available on sex-related disparities in long-term outcomes after stroke. We estimated sex differences in various stroke long-term outcomes among survivors after stroke in a prospective 25-year follow-up study. METHODS: Individuals recruited to the South London Stroke Register, an ongoing multi-ethnic urban-based population stroke register, from 1995 onward were included in the analyses (n=6687). The outcomes were death, subsequent stroke, activity of daily living, instrumental activity of daily living, cognitive impairment, depression, anxiety, and health-related quality of life. Kaplan-Meier curves were generated for mortality, stroke recurrence, and recurrence-free survival by sex and Cox proportional hazards model used to model sex differences up to 25 years. Generalized estimating equation were used to model sex differences in risk of self-reported stroke outcomes over 10 years poststroke outcomes, adjusting for age, preexisting activity of daily living, case-mix, stroke subtypes, and other potential confounding risk factors. RESULTS: There were 49% women (mean age, 72 years; SD, 15.6) and 51% men (mean age, 67 years; SD, 14.3) in 6687 participants. Compared with men, women had 9% (95% CI, 3%–15%) lower covariate-adjusted risk of death and 6% (0%–13%) lower risk of stroke recurrence or death. Generally, women had significantly poorer outcomes in activity of daily living and anxiety than men, and the sex differences persisted to up to 5 years after stroke. Women also had poorer health-related quality of life in physical (β=−2.06 [95% CI, −3.01 to −1.10]) and mental domains (β=−1.48 [95% CI, −2.44 to −0.52]). Although not significant, there was a suggestive trend for poorer outcomes in cognitive impairment and depression in women. No significant difference in stroke recurrence were found between men and women. CONCLUSIONS: Female patients with stroke tended to have better covariate-adjusted survival but poorer outcomes among survivors than male patients, with deficits persisting to up to 5 years poststroke.
Background Depression is the most frequent psychiatric condition after stroke and is associated with negative health outcomes. We aim to undertake a systematic review and meta-analysis of the prevalence and natural history of depression after stroke. Methods and findings Studies published up to 4 November 2022 on Medline, Embase, PsycINFO, and Web of Science Core Collection were searched. We included studies of adults with stroke, where depression was assessed at a prespecified time point. Studies excluding people with aphasia and history of depression are excluded. Critical Appraisal Skills Programme(CASP) cohort study tool was used to assess risk of bias. A total of 77 studies were included in the pooled estimates of the prevalence of poststroke depression (PSD). The overall prevalence of depression was 27% (95% CI 25 to 30). Prevalence of depression was 24% (95% CI 21 to 28) by clinical interview and 29% (95% CI 25 to 32) by rating scales. Twenty-four studies with more than one assessment time point reported the natural history of PSD. Among people who were depressed within 3 months of stroke, 53% (95% CI 47 to 59) experienced persistent depression, while 44% (95% CI 38 to 50) recovered. The incidence of later depression (3 to 12 months after stroke) was 9% (95% CI 7 to 12). The cumulative incidence during 1 year after stroke was 38% (95% CI 33 to 43), and the majority (71% (95% CI 65 to 76)) of depression had onset within 3 months after stroke. The main limitation of the present study is that excluding people in source studies with severe impairments may produce imprecise estimates of the prevalence of PSD. Conclusions In this study, we observed that stroke survivors with early-onset depression (within 3 months after stroke) are at high risks for remaining depressed and make up two-thirds of the incident cases during 1 year after stroke. This highlights the need for ongoing clinical monitoring of patients depressed shortly after stroke. Trial Registration PROSPERO CRD42022314146.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.