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Multinational characterization of neurological phenotypes in patients hospitalized with COVID-19.
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; Visweswaran, Shyam; Mowery, Danielle L; Xia, Zongqi.
  • Le TT; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
  • Gutiérrez-Sacristán A; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
  • Son J; Department of Neurology, University of Pittsburgh, Biomedical Science Tower 3, Suite 7014, 3501 5th Avenue, Pittsburgh, PA, 15260, USA.
  • Hong C; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
  • South AM; Department of Pediatrics, Wake Forest School of Medicine, Winston Salem, NC, USA.
  • Beaulieu-Jones BK; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
  • Loh NHW; Department of Critical Care, National University Health Systems, Singapore, Singapore.
  • Luo Y; Department of Preventive Medicine, Northwestern University, Chicago, IL, USA.
  • Morris M; Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA.
  • Ngiam KY; Department of Surgery, National University Health Systems, Singapore, Singapore.
  • Patel LP; Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS, USA.
  • Samayamuthu MJ; Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA.
  • Schriver E; Data Analytics Center, University of Pennsylvania Health System, Philadelphia, PA, USA.
  • Tan ALM; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
  • Moore J; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
  • Cai T; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
  • Omenn GS; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.
  • Avillach P; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
  • Kohane IS; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
  • Visweswaran S; Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA.
  • Mowery DL; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
  • Xia Z; Department of Neurology, University of Pittsburgh, Biomedical Science Tower 3, Suite 7014, 3501 5th Avenue, Pittsburgh, PA, 15260, USA. zxia1@post.harvard.edu.
Sci Rep ; 11(1): 20238, 2021 10 12.
Article in English | MEDLINE | ID: covidwho-1467130
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.
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Full text: Available Collection: International databases Database: MEDLINE Document Type: Article Main subject: Pandemics / COVID-19 / Nervous System Diseases Subject: Pandemics / COVID-19 / Nervous System Diseases Type of study: Etiology study / Prevalence study / Risk factors Language: English Journal: Sci Rep Clinical aspect: Etiology Year: 2021

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Full text: Available Collection: International databases Database: MEDLINE Document Type: Article Main subject: Pandemics / COVID-19 / Nervous System Diseases Subject: Pandemics / COVID-19 / Nervous System Diseases Type of study: Etiology study / Prevalence study / Risk factors Language: English Journal: Sci Rep Clinical aspect: Etiology Year: 2021
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