Ischemic strokes in COVID-19: risk factors, obesity paradox, and distinction between trigger and causal association

Author:

Janes Francesco,Sozio Emanuela,Gigli Gian Luigi,Ripoli Andrea,Sbrana Francesco,Kuris Fedra,Nesi Lorenzo,Semenzin Tosca,Bertolino Giacomo,Deana Cristian,Bagatto Daniele,Ciardi Chiara,Fabris Martina,Merlino Giovanni,Bax Francesco,Nilo Annacarmen,Pez Sara,Valente Mariarosaria,Tascini Carlo

Abstract

Background and purposeStroke has been described as a COVID-19 complication. However, its occurrence rate, risk factors, and causal relationships are still not well established.MethodsWe describe the characteristics of confirmed COVID-19-related strokes among all cases of COVID-19 hospitalized in our health network, from November 1, 2020 to April 30, 2021. Risk factor analysis has been conducted for ischemic stroke (IS), which represents 92% of all confirmed cases of Covid-19-related strokes, and a “causal attribution to infection” classification is provided.ResultsIn all, 62/4105 hospitalized COVID-19 patients had an acute stroke (1.51%). Severe COVID-19 (OR 2.27—CI 1.06–4.77; p = 0.032), atrial fibrillation (OR 3.65—CI 1.63–7.98; p = 0.001), and ischemic heart disease (OR 4.590—CI 1.714–12.137; p = 0.002) proved to be independent risk factors for IS, while obesity was a protective factor (OR 0.90—CI 0.82–0.97; p = 0.012). COVID-19 had a causal role in 32.1% of IS cases, was a relevant cofactor in 28.6% of cases of IS, and was a possible trigger in 39.3% of events.ConclusionOur stroke occurrence rate is consistent with other population-based reports (range 0.34–2.7%). Prespecified peculiar clinical and radiological features allow the distinction between “IS caused by COVID-19” and “IS triggered by COVID-19.” Clinical history of vascular diseases and risk factors is crucial in determining the risk of IS in patients with COVID-19. However, the protective effect of a BMI > 30 kg/m2 seems to suggest an obesity paradox.

Publisher

Frontiers Media SA

Subject

Neurology (clinical),Neurology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3