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Title: Multinational characterization of neurological phenotypes in patients hospitalized with COVID-19.

Authors: Le, Trang T; Gutiérrez-Sacristán, Alba; Son, Jiyeon; Hong, Chuan; South, Andrew M; Beaulieu-Jones, Brett K; Loh, Ne Hooi Will; Luo, Yuan; Morris, Michele; Ngiam, Kee Yuan; Patel, Lav P; Samayamuthu, Malarkodi J; Schriver, Emily; Tan, Amelia L M; Moore, Jason; Cai, Tianxi; Omenn, Gilbert S; Avillach, Paul; Kohane, Isaac S; Consortium for Clinical Characterization of COVID-19 by EHR (4CE); Visweswaran, Shyam; Mowery, Danielle L; Xia, Zongqi

Published In Sci Rep, (2021 Oct 12)

Abstract: Neurological complications worsen outcomes in COVID-19. To define the prevalence of neurological conditions among hospitalized patients with a positive SARS-CoV-2 reverse transcription polymerase chain reaction test in geographically diverse multinational populations during early pandemic, we used electronic health records (EHR) from 338 participating hospitals across 6 countries and 3 continents (January-September 2020) for a cross-sectional analysis. We assessed the frequency of International Classification of Disease code of neurological conditions by countries, healthcare systems, time before and after admission for COVID-19 and COVID-19 severity. Among 35,177 hospitalized patients with SARS-CoV-2 infection, there was an increase in the proportion with disorders of consciousness (5.8%, 95% confidence interval [CI] 3.7-7.8%, pFDR < 0.001) and unspecified disorders of the brain (8.1%, 5.7-10.5%, pFDR < 0.001) when compared to the pre-admission proportion. During hospitalization, the relative risk of disorders of consciousness (22%, 19-25%), cerebrovascular diseases (24%, 13-35%), nontraumatic intracranial hemorrhage (34%, 20-50%), encephalitis and/or myelitis (37%, 17-60%) and myopathy (72%, 67-77%) were higher for patients with severe COVID-19 when compared to those who never experienced severe COVID-19. Leveraging a multinational network to capture standardized EHR data, we highlighted the increased prevalence of central and peripheral neurological phenotypes in patients hospitalized with COVID-19, particularly among those with severe disease.

PubMed ID: 34642371 Exiting the NIEHS site

MeSH Terms: No MeSH terms associated with this publication

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