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. 2021 Mar 16;96(11):e1527-e1538.
doi: 10.1212/WNL.0000000000011356. Epub 2020 Dec 18.

Neurologic Syndromes Predict Higher In-Hospital Mortality in COVID-19

Emad Nader Eskandar  1 , David J Altschul  2 , Rafael de la Garza Ramos  1 , Phillip Cezayirli  1 , Santiago R Unda  1 , Joshua Benton  1 , Joseph Dardick  1 , Aureliana Toma  1 , Nikunj Patel  1 , Avinash Malaviya  1 , David Flomenbaum  1 , Jenelys Fernandez-Torres  1 , Jenny Lu  1 , Ryan Holland  1 , Elisabetta Burchi  1 , Richard Zampolin  1 , Kevin Hsu  1 , Andrew McClelland  1 , Judah Burns  1 , Amichai Erdfarb  1 , Rishi Malhotra  1 , Michelle Gong  1 , Peter Semczuk  1 , Jonathan Gursky  1 , Victor Ferastraoaru  1 , Jillian Rosengard  1 , Daniel Antoniello  1 , Daniel Labovitz  1 , Charles Esenwa  1 , Mark Milstein  1 , Alexis Boro  1 , Mark F Mehler  1
Affiliations

Neurologic Syndromes Predict Higher In-Hospital Mortality in COVID-19

Emad Nader Eskandar et al. Neurology. .

Erratum in

Abstract

Objective: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is protean in its manifestations, affecting nearly every organ system. However, nervous system involvement and its effect on disease outcome are poorly characterized. The objective of this study was to determine whether neurologic syndromes are associated with increased risk of inpatient mortality.

Methods: A total of 581 hospitalized patients with confirmed SARS-CoV-2 infection, neurologic involvement, and brain imaging were compared to hospitalized non-neurologic patients with coronavirus disease 2019 (COVID-19). Four patterns of neurologic manifestations were identified: acute stroke, new or recrudescent seizures, altered mentation with normal imaging, and neuro-COVID-19 complex. Factors present on admission were analyzed as potential predictors of in-hospital mortality, including sociodemographic variables, preexisting comorbidities, vital signs, laboratory values, and pattern of neurologic manifestations. Significant predictors were incorporated into a disease severity score. Patients with neurologic manifestations were matched with patients of the same age and disease severity to assess the risk of death.

Results: A total of 4,711 patients with confirmed SARS-CoV-2 infection were admitted to one medical system in New York City during a 6-week period. Of these, 581 (12%) had neurologic issues of sufficient concern to warrant neuroimaging. These patients were compared to 1,743 non-neurologic patients with COVID-19 matched for age and disease severity admitted during the same period. Patients with altered mentation (n = 258, p = 0.04, odds ratio [OR] 1.39, confidence interval [CI] 1.04-1.86) or radiologically confirmed stroke (n = 55, p = 0.001, OR 3.1, CI 1.65-5.92) had a higher risk of mortality than age- and severity-matched controls.

Conclusions: The incidence of altered mentation or stroke on admission predicts a modest but significantly higher risk of in-hospital mortality independent of disease severity. While other biomarker factors also predict mortality, measures to identify and treat such patients may be important in reducing overall mortality of COVID-19.

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Figures

Figure
Figure. Coronavirus Disease 2019 (COVID-19) Severity Score
(A) General distribution. (B) Mortality distribution.
See this image and copyright information in PMC

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