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

Brat GA, Weber GM, Gehlenborg N, Avillach P, Palmer NP, Chiovato L, Cimino J, Waitman LR, Omenn GS, Malovini A, Moore JH, Beaulieu-Jones BK, Tibollo V, Murphy SN, Yi SL, Keller MS, Bellazzi R, Hanauer DA, Serret-Larmande A, Gutierrez-Sacristan A, Holmes JJ, Bell DS, Mandl KD, Follett RW, Klann JG, Murad DA, Scudeller L, Bucalo M, Kirchoff K, Craig J, Obeid J, Jouhet V, Griffier R, Cossin S, Moal B, Patel LP, Bellasi A, Prokosch HU, Kraska D, Sliz P, Tan AL, Ngiam KY, Zambelli A, Mowery DL, Schiver E, Devkota B, Bradford RL, Daniar M, Daniel C, Benoit V, Bey R, Paris N, Serre P, Orlova N, Dubiel J, Hilka M, Jannot AS, Breant S, Leblanc J, Griffon N, Burgun A, Bernaux M, Sandrin A, Salamanca E, Cormont S, Ganslandt T, Gradinger T, Champ J, Boeker M, Martel P, Esteve L, Gramfort A, Grisel O, Leprovost D, Moreau T, Varoquaux G, Vie JJ, Wassermann D, Mensch A, Caucheteux C, Haverkamp C, Lemaitre G, Bosari S, Krantz ID, South A, Cai T, Kohane IS (2020)

Publication Type: Journal article

Publication year: 2020

Journal

Book Volume: 3

Article Number: 109

Journal Issue: 1

DOI: 10.1038/s41746-020-00308-0

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.

Authors with CRIS profile

Involved external institutions

Harvard University United States (USA) (US) Istituti Clinici Scientifici (ICS) Maugeri Spa Italy (IT) University of Alabama at Birmingham (UAB) United States (USA) (US) University of Kansas Medical Center United States (USA) (US) University of Michigan United States (USA) (US) University of Pennsylvania (UPenn) United States (USA) (US) Massachusetts General Hospital United States (USA) (US) University of California Los Angeles (UCLA) United States (USA) (US) Boston Children's Hospital United States (USA) (US) Fondazione IRCCS Ca' Granda - Ospedale Maggiore Policlinico Italy (IT) BIOMEdical Research Informatics Solutions Italy (IT) Medical University of South Carolina (MUSC) United States (USA) (US) Centre Hospitalier Universitaire de Bordeaux / CHU Bordeaux France (FR) Children's Hospital of Philadelphia United States (USA) (US) University of North Carolina at Chapel Hill United States (USA) (US) Assistance Publique-Hôpitaux de Paris (AP-HP) France (FR) Université Paris-Saclay France (FR) National University of Singapore (NUS) Singapore (SG) Ruprecht-Karls-Universität Heidelberg Germany (DE) Universitätsklinikum Freiburg Germany (DE) Penn Medicine United States (USA) (US) Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier (LIRMM) France (FR) Clevy France (FR) Wake Forest School of Medicine United States (USA) (US) Centre de recherche Inria Lille - Nord Europe France (FR) École Normale Supérieure - PSL (ENS) France (FR) Azienda Ospedaliera Papa Giovanni XXIII Italy (IT)

How to cite

APA:

Brat, G.A., Weber, G.M., Gehlenborg, N., Avillach, P., Palmer, N.P., Chiovato, L.,... Kohane, I.S. (2020). International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium. npj Digital Medicine, 3(1). https://doi.org/10.1038/s41746-020-00308-0

MLA:

Brat, Gabriel A., et al. "International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium." npj Digital Medicine 3.1 (2020).

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