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Published in: BMC Neurology 1/2021

01-12-2021 | Stroke | Research article

Stroke etiologies in patients with COVID-19: the SVIN COVID-19 multinational registry

Authors: María E. Ramos-Araque, James E. Siegler, Marc Ribo, Manuel Requena, Cristina López, Mercedes de Lera, Juan F. Arenillas, Isabel Hernández Pérez, Beatriz Gómez-Vicente, Blanca Talavera, Pere Cardona Portela, Ana Nuñez Guillen, Xabier Urra, Laura Llull, Arturo Renú, Thanh N. Nguyen, Dinesh Jillella, Fadi Nahab, Raul Nogueira, Diogo Haussen, Ryna Then, Jesse M. Thon, Luis Rodríguez Esparragoza, Maria Hernández-Pérez, Alejandro Bustamante, Ossama Yassin Mansour, Mohammed Megahed, Tamer Hassan, David S. Liebeskind, Ameer Hassan, Saif Bushnaq, Mohamed Osman, Alejandro Rodriguez Vazquez, SVIN Multinational Registry and Task Force

Published in: BMC Neurology | Issue 1/2021

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Abstract

Background and purpose

Coronavirus disease 2019 (COVID-19) is associated with a small but clinically significant risk of stroke, the cause of which is frequently cryptogenic. In a large multinational cohort of consecutive COVID-19 patients with stroke, we evaluated clinical predictors of cryptogenic stroke, short-term functional outcomes and in-hospital mortality among patients according to stroke etiology.

Methods

We explored clinical characteristics and short-term outcomes of consecutively evaluated patients 18 years of age or older with acute ischemic stroke (AIS) and laboratory-confirmed COVID-19 from 31 hospitals in 4 countries (3/1/20–6/16/20).

Results

Of the 14.483 laboratory-confirmed patients with COVID-19, 156 (1.1%) were diagnosed with AIS. Sixty-one (39.4%) were female, 84 (67.2%) white, and 88 (61.5%) were between 60 and 79 years of age. The most frequently reported etiology of AIS was cryptogenic (55/129, 42.6%), which was associated with significantly higher white blood cell count, c-reactive protein, and D-dimer levels than non-cryptogenic AIS patients (p</=0.05 for all comparisons). In a multivariable backward stepwise regression model estimating the odds of in-hospital mortality, cryptogenic stroke mechanism was associated with a fivefold greater odds in-hospital mortality than strokes due to any other mechanism (adjusted OR 5.16, 95%CI 1.41–18.87, p = 0.01). In that model, older age (aOR 2.05 per decade, 95%CI 1.35–3.11, p < 0.01) and higher baseline NIHSS (aOR 1.12, 95%CI 1.02–1.21, p = 0.01) were also independently predictive of mortality.

Conclusions

Our findings suggest that cryptogenic stroke among COVID-19 patients carries a significant risk of early mortality.
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Literature
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Metadata
Title
Stroke etiologies in patients with COVID-19: the SVIN COVID-19 multinational registry
Authors
María E. Ramos-Araque
James E. Siegler
Marc Ribo
Manuel Requena
Cristina López
Mercedes de Lera
Juan F. Arenillas
Isabel Hernández Pérez
Beatriz Gómez-Vicente
Blanca Talavera
Pere Cardona Portela
Ana Nuñez Guillen
Xabier Urra
Laura Llull
Arturo Renú
Thanh N. Nguyen
Dinesh Jillella
Fadi Nahab
Raul Nogueira
Diogo Haussen
Ryna Then
Jesse M. Thon
Luis Rodríguez Esparragoza
Maria Hernández-Pérez
Alejandro Bustamante
Ossama Yassin Mansour
Mohammed Megahed
Tamer Hassan
David S. Liebeskind
Ameer Hassan
Saif Bushnaq
Mohamed Osman
Alejandro Rodriguez Vazquez
SVIN Multinational Registry and Task Force
Publication date
01-12-2021
Publisher
BioMed Central
Keywords
Stroke
COVID-19
Published in
BMC Neurology / Issue 1/2021
Electronic ISSN: 1471-2377
DOI
https://doi.org/10.1186/s12883-021-02075-1

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