Clinical Characteristics of Stroke with COVID-19: A Systematic Review and Meta-Analysis.


Journal

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
ISSN: 1532-8511
Titre abrégé: J Stroke Cerebrovasc Dis
Pays: United States
ID NLM: 9111633

Informations de publication

Date de publication:
Dec 2020
Historique:
received: 04 08 2020
revised: 18 08 2020
accepted: 24 08 2020
pubmed: 30 9 2020
medline: 15 12 2020
entrez: 29 9 2020
Statut: ppublish

Résumé

The coronavirus disease 2019 (COVID-19) potentially increases the risk of thromboembolism and stroke. Numerous case reports and retrospective cohort studies have been published with mixed characteristics of COVID-19 patients with stroke regarding age, comorbidities, treatment, and outcome. We aimed to depict the frequency and clinical characteristics of COVID-19 patients with stroke. PubMed and EMBASE were searched on June 10, 2020, to investigate COVID-19 and stroke through retrospective cross-sectional studies, case series/reports according to PRISMA guidelines. Study-specific estimates were combined using one-group meta-analysis in a random-effects model. 10 retrospective cohort studies and 16 case series/reports were identified including 183 patients with COVID-19 and stroke. The frequency of detected stroke in hospitalized COVID-19 patients was 1.1% ([95% confidential interval (CI)]: [0.6-1.6], I This systematic review assessed the frequency and clinical characteristics of stroke in COVID-19 patients. The frequency of detected stroke in hospitalized COVID-19 patients was 1.1% and associated with older age and stroke risk factors. Frequent cryptogenic stroke and elevated d-dimer level support increased risk of thromboembolism in COVID-19 associated with high mortality. Further study is needed to elucidate the pathophysiology and prognosis of stroke in COVID-19 to achieve most effective care for this population.

Sections du résumé

BACKGROUND BACKGROUND
The coronavirus disease 2019 (COVID-19) potentially increases the risk of thromboembolism and stroke. Numerous case reports and retrospective cohort studies have been published with mixed characteristics of COVID-19 patients with stroke regarding age, comorbidities, treatment, and outcome. We aimed to depict the frequency and clinical characteristics of COVID-19 patients with stroke.
METHODS METHODS
PubMed and EMBASE were searched on June 10, 2020, to investigate COVID-19 and stroke through retrospective cross-sectional studies, case series/reports according to PRISMA guidelines. Study-specific estimates were combined using one-group meta-analysis in a random-effects model.
RESULTS RESULTS
10 retrospective cohort studies and 16 case series/reports were identified including 183 patients with COVID-19 and stroke. The frequency of detected stroke in hospitalized COVID-19 patients was 1.1% ([95% confidential interval (CI)]: [0.6-1.6], I
CONCLUSIONS CONCLUSIONS
This systematic review assessed the frequency and clinical characteristics of stroke in COVID-19 patients. The frequency of detected stroke in hospitalized COVID-19 patients was 1.1% and associated with older age and stroke risk factors. Frequent cryptogenic stroke and elevated d-dimer level support increased risk of thromboembolism in COVID-19 associated with high mortality. Further study is needed to elucidate the pathophysiology and prognosis of stroke in COVID-19 to achieve most effective care for this population.

Identifiants

pubmed: 32992199
pii: S1052-3057(20)30706-0
doi: 10.1016/j.jstrokecerebrovasdis.2020.105288
pmc: PMC7456266
pii:
doi:

Substances chimiques

Biomarkers 0
Fibrin Fibrinogen Degradation Products 0
fibrin fragment D 0

Types de publication

Journal Article Meta-Analysis Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

105288

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest There is no conflict of interest of this study.

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Auteurs

Mai Yamakawa (M)

Department of Neurology, University of Kansas Medical Center, Kansas City, KS, USA.

Toshiki Kuno (T)

Department of Medicine, Icahn School of Medicine at Mount Sinai, Mount Sinai Beth Israel, First Avenue, 16th street, New York 10003, NY, USA. Electronic address: Toshiki.Kuno@mountsinai.org.

Takahisa Mikami (T)

Department of Neurology, Tufts Medical Center, Boston, MA, USA.

Hisato Takagi (H)

Division of Cardiovascular Surgery, Shizuoka Medical Center, Shizuoka, Japan.

Gary Gronseth (G)

University of Kansas Medical Center, Department of Neurology, Kansas City, KS, USA.

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Classifications MeSH