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

Gabriel Brat 1 Griffin Weber 1 Nils Gehlenborg 1 Paul Avillach 1 Nathan Palmer 1 Luca Chiovato 2 James Cimino 3 Brett Beaulieu-Jones 1 Sehi L’ Yi 1 Mark Keller 1 Douglas Bell 4 Robert Follett 4 Lav Patel 5 Anne Jannot 6 Lemuel Waitman 5 Gilbert Omenn 7 Alberto Malovini 8 Jason Moore 9 Valentina Tibollo 8 Shawn Murphy 10 Riccardo Bellazzi 11 David Hanauer 12 Arnaud Serret-Larmande 13 Alba Gutierrez-Sacristan 1 John Holmes 9 Douglas Bell 4 Kenneth Mandl 14 Jeffrey Klann 10 Douglas Murad 4 Luigia Scudeller 15 Mauro Bucalo 16 Katie Kirchoff 17 Jean Craig 17 Jihad Obeid 17 Vianney Jouhet 18 Romain Griffier 19 Sébastien Cossin 20 Bertrand Moal 21 Antonio Bellasi 22 Hans Prokosch 23 Detlef Kraska 24 Piotr Sliz 14 Amelia Tan 1 Kee Yuan Ngiam 25 Alberto Zambelli 22 Danielle Mowery 9 Emily Schiver 9 Batsal Devkota 26 Robert Bradford 27 Mohamad Daniar 14 Christel Daniel 28 Vincent Benoit 28 Romain Bey 28 Nicolas Paris 28 Patricia Serre 28 Nina Orlova 28 Julien Dubiel 28 Martin Hilka 28 Stephane Breant 28 Judith Leblanc 29 Nicolas Griffon 30 Anita Burgun 31 Melodie Bernaux 28 Arnaud Sandrin 28 Elisa Salamanca 28 Sylvie Cormont 28 Thomas Ganslandt 32 Tobias Gradinger 32 Julien Champ 33 Martin Boeker 34 Patricia Martel 28 Loïc Estève 35 Alexandre Gramfort 35 Olivier Grisel 35 Damien Leprovost 36 Thomas Moreau 35 Gael Varoquaux 35, 37, 38 Jill-Jênn Vie 39 Demian Wassermann 35 Arthur Mensch 35 Charlotte Caucheteux 40 Christian Haverkamp 34 Guillaume Lemaître 35 Silvano Bosari 41 Andrew South 42 Tianxi Cai 43 Isaac Kohane 1
33 ZENITH - Scientific Data Management
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
35 PARIETAL - Modelling brain structure, function and variability based on high-field MRI data
Inria Saclay - Ile de France, NEUROSPIN - Service NEUROSPIN
39 SCOOL - Prise de décision séquentielle dans l’incertain
Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
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 5 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 comorbidities and 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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Submitted on : Friday, August 21, 2020 - 10:32:49 PM
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Gabriel Brat, Griffin Weber, Nils Gehlenborg, Paul Avillach, Nathan Palmer, et al.. International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium. npj Digital Medicine, Nature Research 2020, 3 (1), pp.#109. ⟨10.1038/s41746-020-00308-0⟩. ⟨hal-02918344⟩

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