Article ; Online: Risk of ischemic stroke in patients recovered from COVID-19 infection: A systematic review and meta-analysis.
2023 Volume 8, Issue 4, Page(s) 915–922
Abstract: Background: Data regarding the risk of ischemic stroke within 1 year after the post-acute phase of COVID-19 remain scant. We assess the risk of ischemic stroke in COVID-19 survivors after SARS-CoV-2 infection by performing a systematic review and meta- ... ...
Abstract | Background: Data regarding the risk of ischemic stroke within 1 year after the post-acute phase of COVID-19 remain scant. We assess the risk of ischemic stroke in COVID-19 survivors after SARS-CoV-2 infection by performing a systematic review and meta-analysis of the available data. Methods: Following the PRISMA guidelines, we searched Medline and Scopus to locate all articles published up to February 11, 2023, reporting the risk of incident ischemic stroke in adult patients recovered from COVID-19 infection compared to non-infected patients (controls) defined as those who did not experience the infection over the same follow-up period. Ischemic stroke risk was evaluated using the Mantel-Haenszel random effects models with adjusted Hazard ratio (HR) as the effect measure with 95% confidence interval (CI) while heterogeneity was assessed using Higgins Results: Overall, 23,559,428 patients (mean age 56, 1 year, 54.3% males), of whom 1,595,984 had COVID-19, were included. Over a mean follow-up of 9.2 months, ischemic stroke occurred in 4.40 [95% CI: 4.36-4.43] out of 1000 patients survived to COVID-19 compared to 3.25 [95% CI:3.21-3.29] out of 1000 controls. Recovered COVID-19 patients presented a higher risk of ischemic stroke ((HR: 2.06, 95% CI: 1.75-2.41, Conclusions: Recovered COVID-19 patients have a higher risk of ischemic stroke compared to subjects from the general population within 9 months from the index infection. |
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MeSH term(s) | Male ; Adult ; Humans ; Female ; COVID-19/complications ; Ischemic Stroke/epidemiology ; SARS-CoV-2 ; Stroke/epidemiology |
Language | English |
Publishing date | 2023-07-25 |
Publishing country | England |
Document type | Meta-Analysis ; Systematic Review ; Journal Article ; Review |
ZDB-ID | 2851287-X |
ISSN | 2396-9881 ; 2396-9873 |
ISSN (online) | 2396-9881 |
ISSN | 2396-9873 |
DOI | 10.1177/23969873231190432 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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