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

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

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 ( 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.

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