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

Le TT, Gutierrez-Sacristan A, Son J, Hong C, South AM, Beaulieu-Jones BK, Loh NHW, Luo Y, Morris M, Ngiam KY, Patel LP, Samayamuthu MJ, Schriver E, Tan AL, Moore J, Cai T, Omenn GS, Avillach P, Kohane IS, Schüttler J, Prokosch HU, Ganslandt T, Visweswaran S, Mowery DL, Xia Z (2021)

Publication Type: Journal article

Publication year: 2021

Journal

Scientific Reports Nature Publishing Group: Open Access Journals - Option B

Book Volume: 11

Article Number: 20238

Journal Issue: 1

DOI: 10.1038/s41598-021-99481-9

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.

Authors with CRIS profile

Jürgen Schüttler Lehrstuhl für Anästhesiologie Hans-Ulrich Prokosch Lehrstuhl für Medizinische Informatik Thomas Ganslandt

Additional Organisation(s)

Medizinisches Zentrum für Informations- und Kommunikationstechnik (Medizinisches IK-Zentrum, MIK)

Involved external institutions

Northwestern University US United States (USA) (US) Harvard University US United States (USA) (US) University of Pittsburgh US United States (USA) (US) University of Pennsylvania Health System (UPHS, Penn Medicine) US United States (USA) (US) University of Pennsylvania US United States (USA) (US) University of Kansas (KU) US United States (USA) (US) Medizinische Fakultät Mannheim der Universität Heidelberg DE Germany (DE) National University Health System (NUHS) SG Singapore (SG) University of Michigan US United States (USA) (US) Wake Forest University US United States (USA) (US)

How to cite

APA:

Le, T.T., Gutierrez-Sacristan, A., Son, J., Hong, C., South, A.M., Beaulieu-Jones, B.K.,... Xia, Z. (2021). Multinational characterization of neurological phenotypes in patients hospitalized with COVID-19. Scientific Reports, 11(1). https://doi.org/10.1038/s41598-021-99481-9

MLA:

Le, Trang T., et al. "Multinational characterization of neurological phenotypes in patients hospitalized with COVID-19." Scientific Reports 11.1 (2021).

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