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

  • The Consortium for Clinical Characterization of COVID-19 by EHR (4CE)
  • The University of Pennsylvania
  • Harvard Medical School
  • University of Pittsburgh School of Medicine
  • Wake Forest School of Medicine
  • National University Health Systems
  • Northwestern University Feinberg School of Medicine
  • University of Kansas Medical Center
  • University of Pennsylvania
  • University of Michigan Medical School
  • University of Kentucky
  • University Magna Graecia of Catanzaro
  • INC.
  • ASST Pavia
  • São Paulo State University
  • Hôpital Necker Enfants Malades
  • Tan Tock Seng Hospital
  • Univ. of Cincinnati
  • Department of Biochemistry and Molecular Biology
  • St. Luke’s University Health Network
  • David Geffen School of Medicine at UCLA
  • ASST Papa Giovanni XXIII
  • University of Pavia
  • AP-HP Sorbonne Université
  • Hospital Universitario 12 de Octubre
  • University of Freiburg
  • Great Ormond Street Hospital for Children NHS Foundation Trust
  • Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico
  • University of North Carolina
  • BIOMERIS (BIOMedical Research Informatics Solutions)
  • University Paris-Sud
  • LIRMM
  • Boston Children's Hospital
  • University of Kentucky College of Medicine
  • Istituti Clinici Scientifici Maugeri IRCCS
  • UAB Informatics Institute
  • Université Bordeaux 2
  • Medical University of South Carolina
  • Children's Hospital of Philadelphia
  • SED/SIERRA
  • University of Michigan, Ann Arbor
  • Heidelberg University
  • Massachusetts General Hospital
  • Universitätsklinikum Erlangen
  • Clevy.io
  • Harvard T.H. Chan School of Public Health
  • VA Salt Lake City Health Care System
  • Edward Hines VA Medical Center
  • Ecole Normale Supérieure
  • The University of Texas Health Science Center at Houston
  • Friedrich Alexander Universität Erlangen-Nürnberg
  • Department of Veterans Affairs
  • Universitat Politecnica de Valencia
  • Nurse Department of FMB-Medicine School of Botucatu
  • National University Hospital
  • Chang Gung University
  • Medical College of Wisconsin
  • Montreal Neurol. Hosp. and Institute
  • INRIA Institut National de Recherche en Informatique et en Automatique
  • University of Missouri

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

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.

Original languageEnglish
Article number20238
JournalScientific Reports
Volume11
Issue number1
DOIs
StatePublished - Dec 2021
Externally publishedYes

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