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Deep phenotyping of 34,128 adult patients hospitalised with COVID-19 in an international network study

Author

Listed:
  • Edward Burn

    (Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol)
    Rheumatology and Musculoskeletal Sciences (NDROMS), University of Oxford)

  • Seng Chan You

    (Ajou University School of Medicine)

  • Anthony G. Sena

    (Janssen Research and Development
    Erasmus University Medical Center)

  • Kristin Kostka

    (Real World Solutions, IQVIA)

  • Hamed Abedtash

    (Eli Lilly and Company)

  • Maria Tereza F. Abrahão

    (Faculty of Medicine, University of Sao Paulo)

  • Amanda Alberga

    (Observational Health Data Sciences and Informatics Network)

  • Heba Alghoul

    (Faculty of Medicine, Islamic University of Gaza)

  • Osaid Alser

    (Massachusetts General Hospital, Harvard Medical School)

  • Thamir M. Alshammari

    (Medication Safety Research Chair, King Saud University)

  • Maria Aragon

    (Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol))

  • Carlos Areia

    (University of Oxford)

  • Juan M. Banda

    (Georgia State University)

  • Jaehyeong Cho

    (Ajou University School of Medicine)

  • Aedin C. Culhane

    (Data Science, Dana-Farber Cancer Institute. Biostatistics, Harvard TH Chan School of Public Health)

  • Alexander Davydov

    (Odysseus Data Services, Inc.
    Belarusian State Medical University)

  • Frank J. DeFalco

    (Janssen Research and Development)

  • Talita Duarte-Salles

    (Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol))

  • Scott DuVall

    (Department of Veterans Affairs
    University of Utah School of Medicine)

  • Thomas Falconer

    (Columbia University)

  • Sergio Fernandez-Bertolin

    (Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol))

  • Weihua Gao

    (Health Economics and Outcomes Research, AbbVie)

  • Asieh Golozar

    (Pharmacoepidemiology
    Johns Hopkins School of Public)

  • Jill Hardin

    (Janssen Research and Development)

  • George Hripcsak

    (Columbia University
    New York-Presbyterian Hospital)

  • Vojtech Huser

    (National Library of Medicine, National Institutes of Health)

  • Hokyun Jeon

    (Ajou University Graduate School of Medicine)

  • Yonghua Jing

    (Health Economics and Outcomes Research, AbbVie)

  • Chi Young Jung

    (Division of Respiratory and Critical Care Medicine, Department of Internal Medicine, Daegu Catholic University Medical Center)

  • Benjamin Skov Kaas-Hansen

    (Clinical Pharmacology Unit, Zealand University Hospital
    NNF Centre for Protein Research, University of Copenhagen)

  • Denys Kaduk

    (Odysseus Data Services, Inc.
    V. N. Karazin Kharkiv National University)

  • Seamus Kent

    (Science Policy and Research, National Institute for Health and Care Excellence)

  • Yeesuk Kim

    (Hanyang University)

  • Spyros Kolovos

    (University of Oxford)

  • Jennifer C. E. Lane

    (University of Oxford)

  • Hyejin Lee

    (Health Insurance Review & Assessment Service)

  • Kristine E. Lynch

    (Department of Veterans Affairs
    University of Utah School of Medicine)

  • Rupa Makadia

    (Janssen Research and Development)

  • Michael E. Matheny

    (GRECC, Tennessee Valley Healthcare System VA
    Vanderbilt University Medical Center)

  • Paras P. Mehta

    (University of Arizona)

  • Daniel R. Morales

    (University of Dundee)

  • Karthik Natarajan

    (Columbia University
    New York-Presbyterian Hospital)

  • Fredrik Nyberg

    (University of Gothenburg)

  • Anna Ostropolets

    (Columbia University)

  • Rae Woong Park

    (Ajou University School of Medicine
    Ajou University Graduate School of Medicine)

  • Jimyung Park

    (Ajou University Graduate School of Medicine)

  • Jose D. Posada

    (Stanford University)

  • Albert Prats-Uribe

    (Rheumatology and Musculoskeletal Sciences (NDROMS), University of Oxford)

  • Gowtham Rao

    (Janssen Research and Development)

  • Christian Reich

    (Real World Solutions, IQVIA)

  • Yeunsook Rho

    (University of Oxford)

  • Peter Rijnbeek

    (Erasmus University Medical Center)

  • Lisa M. Schilling

    (University of Colorado Anschutz Medical Campus)

  • Martijn Schuemie

    (Janssen Research and Development
    University of California)

  • Nigam H. Shah

    (Stanford University)

  • Azza Shoaibi

    (Janssen Research and Development)

  • Seokyoung Song

    (Catholic University of Daegu, School of Medicine)

  • Matthew Spotnitz

    (Columbia University)

  • Marc A. Suchard

    (University of California)

  • Joel N. Swerdel

    (Janssen Research and Development)

  • David Vizcaya

    (Bayer Pharmaceuticals)

  • Salvatore Volpe

    (Columbia University)

  • Haini Wen

    (Shuguang Hospital affiliated to Shanghai University of Traditional Chinese Medicine)

  • Andrew E. Williams

    (Tufts Institute for Clinical Research and Health Policy Studies)

  • Belay B. Yimer

    (Centre for Epidemiology Versus Arthritis, Manchester Academic Health Science Centre, The University of Manchester)

  • Lin Zhang

    (School of Public Health, Peking Union Medical College, Chinese Academy of Medical Sciences
    Melbourne School of Population and Global Health, The University of Melbourne)

  • Oleg Zhuk

    (Odysseus Data Services, Inc.)

  • Daniel Prieto-Alhambra

    (Rheumatology and Musculoskeletal Sciences (NDROMS), University of Oxford)

  • Patrick Ryan

    (Janssen Research and Development
    Columbia University)

Abstract

Comorbid conditions appear to be common among individuals hospitalised with coronavirus disease 2019 (COVID-19) but estimates of prevalence vary and little is known about the prior medication use of patients. Here, we describe the characteristics of adults hospitalised with COVID-19 and compare them with influenza patients. We include 34,128 (US: 8362, South Korea: 7341, Spain: 18,425) COVID-19 patients, summarising between 4811 and 11,643 unique aggregate characteristics. COVID-19 patients have been majority male in the US and Spain, but predominantly female in South Korea. Age profiles vary across data sources. Compared to 84,585 individuals hospitalised with influenza in 2014-19, COVID-19 patients have more typically been male, younger, and with fewer comorbidities and lower medication use. While protecting groups vulnerable to influenza is likely a useful starting point in the response to COVID-19, strategies will likely need to be broadened to reflect the particular characteristics of individuals being hospitalised with COVID-19.

Suggested Citation

  • Edward Burn & Seng Chan You & Anthony G. Sena & Kristin Kostka & Hamed Abedtash & Maria Tereza F. Abrahão & Amanda Alberga & Heba Alghoul & Osaid Alser & Thamir M. Alshammari & Maria Aragon & Carlos A, 2020. "Deep phenotyping of 34,128 adult patients hospitalised with COVID-19 in an international network study," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
    • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-18849-z
    DOI: 10.1038/s41467-020-18849-z
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    Cited by:

    1. Chongliang Luo & Md. Nazmul Islam & Natalie E. Sheils & John Buresh & Jenna Reps & Martijn J. Schuemie & Patrick B. Ryan & Mackenzie Edmondson & Rui Duan & Jiayi Tong & Arielle Marks-Anglin & Jiang Bi, 2022. "DLMM as a lossless one-shot algorithm for collaborative multi-site distributed linear mixed models," Nature Communications, Nature, vol. 13(1), pages 1-10, December.

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