npj Digital Medicine (2020-08-01)

International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium

  • Gabriel A. Brat,
  • Griffin M. Weber,
  • Nils Gehlenborg,
  • Paul Avillach,
  • Nathan P. Palmer,
  • Luca Chiovato,
  • James Cimino,
  • Lemuel R. Waitman,
  • Gilbert S. Omenn,
  • Alberto Malovini,
  • Jason H. Moore,
  • Brett K. Beaulieu-Jones,
  • Valentina Tibollo,
  • Shawn N. Murphy,
  • Sehi L’ Yi,
  • Mark S. Keller,
  • Riccardo Bellazzi,
  • David A. Hanauer,
  • Arnaud Serret-Larmande,
  • Alba Gutierrez-Sacristan,
  • John J. Holmes,
  • Douglas S. Bell,
  • Kenneth D. Mandl,
  • Robert W. Follett,
  • Jeffrey G. Klann,
  • Douglas A. Murad,
  • Luigia Scudeller,
  • Mauro Bucalo,
  • Katie Kirchoff,
  • Jean Craig,
  • Jihad Obeid,
  • Vianney Jouhet,
  • Romain Griffier,
  • Sebastien Cossin,
  • Bertrand Moal,
  • Lav P. Patel,
  • Antonio Bellasi,
  • Hans U. Prokosch,
  • Detlef Kraska,
  • Piotr Sliz,
  • Amelia L. M. Tan,
  • Kee Yuan Ngiam,
  • Alberto Zambelli,
  • Danielle L. Mowery,
  • Emily Schiver,
  • Batsal Devkota,
  • Robert L. Bradford,
  • Mohamad Daniar,
  • Christel Daniel,
  • Vincent Benoit,
  • Romain Bey,
  • Nicolas Paris,
  • Patricia Serre,
  • Nina Orlova,
  • Julien Dubiel,
  • Martin Hilka,
  • Anne Sophie Jannot,
  • Stephane Breant,
  • Judith Leblanc,
  • Nicolas Griffon,
  • Anita Burgun,
  • Melodie Bernaux,
  • Arnaud Sandrin,
  • Elisa Salamanca,
  • Sylvie Cormont,
  • Thomas Ganslandt,
  • Tobias Gradinger,
  • Julien Champ,
  • Martin Boeker,
  • Patricia Martel,
  • Loic Esteve,
  • Alexandre Gramfort,
  • Olivier Grisel,
  • Damien Leprovost,
  • Thomas Moreau,
  • Gael Varoquaux,
  • Jill-Jênn Vie,
  • Demian Wassermann,
  • Arthur Mensch,
  • Charlotte Caucheteux,
  • Christian Haverkamp,
  • Guillaume Lemaitre,
  • Silvano Bosari,
  • Ian D. Krantz,
  • Andrew South,
  • Tianxi Cai,
  • Isaac S. Kohane

DOI
https://doi.org/10.1038/s41746-020-00308-0
Journal volume & issue
Vol. 3, no. 1
pp. 1 – 9

Abstract

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Abstract We leveraged the largely untapped resource of electronic health record data to address critical clinical and epidemiological questions about Coronavirus Disease 2019 (COVID-19). To do this, we formed an international consortium (4CE) of 96 hospitals across five countries ( www.covidclinical.net ). Contributors utilized the Informatics for Integrating Biology and the Bedside (i2b2) or Observational Medical Outcomes Partnership (OMOP) platforms to map to a common data model. The group focused on temporal changes in key laboratory test values. Harmonized data were analyzed locally and converted to a shared aggregate form for rapid analysis and visualization of regional differences and global commonalities. Data covered 27,584 COVID-19 cases with 187,802 laboratory tests. Case counts and laboratory trajectories were concordant with existing literature. Laboratory tests at the time of diagnosis showed hospital-level differences equivalent to country-level variation across the consortium partners. Despite the limitations of decentralized data generation, we established a framework to capture the trajectory of COVID-19 disease in patients and their response to interventions.