International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium - Archive ouverte HAL
Article Dans Une Revue npj Digital Medicine Année : 2020

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

Gabriel A. Brat (1) , Griffin M. Weber (1) , Nils Gehlenborg (1) , Paul Avillach (1) , Nathan P. Palmer (1) , Luca Chiovato (2) , James Cimino (3) , Brett K. Beaulieu-Jones (1) , Sehi L'Yi (1) , Mark S. Keller (1) , Douglas S. Bell (4) , Robert W. Follett (4) , Lav P. Patel (5) , Anne Sophie Jannot (6) , Lemuel R. Waitman (5) , Gilbert Omenn (7) , Alberto Malovini (8) , Jason H. Moore (9) , Valentina Tibollo (8) , Shawn N Murphy (10) , Riccardo Bellazzi (11) , David A Hanauer (12) , Arnaud Serret-Larmande (13) , Alba Gutierrez-Sacristan (1) , John J Holmes (9) , Douglas Bell (4) , Kenneth D. Mandl (14) , Jeffrey G Klann (10) , Douglas A Murad (4) , Luigia Scudeller (15) , Mauro Bucalo (16) , Katie Kirchoff (17) , Jean Craig (17) , Jihad Obeid (17) , Vianney Jouhet (18, 19) , Romain Griffier (20) , Sébastien Cossin (21, 19) , Bertrand Moal (22) , Antonio Bellasi (23) , Hans U Prokosch (24) , Detlef Kraska (25) , Piotr Sliz (14) , Amelia L.M. Tan (1) , Kee Yuan Ngiam (26) , Alberto Zambelli (23) , Danielle L Mowery (9) , Emily Schiver (9) , Batsal Devkota (27) , Robert Bradford (28) , Mohamad Daniar (14) , Christel Daniel (29, 30) , Vincent Benoit (29) , Romain Bey (29) , Nicolas Paris (29) , Patricia Serre (29) , Nina Orlova (29) , Julien Dubiel (29) , Martin Hilka (29) , Stephane Breant (29) , Judith Leblanc (31) , Nicolas Griffon (32, 30) , Anita Burgun (33, 34, 35) , Melodie Bernaux (29) , Arnaud Sandrin (29) , Elisa Salamanca (29) , Sylvie Cormont (29) , Thomas Ganslandt (36) , Tobias Gradinger (36) , Julien Champ (37) , Martin Boeker (38) , Patricia Martel (29) , Loïc Estève (39) , Alexandre Gramfort (39) , Olivier Grisel (39) , Damien Leprovost (40) , Thomas Moreau (39) , Gael Varoquaux (39, 41, 42) , Jill-Jênn Vie (43, 44) , Demian Wassermann (39) , Arthur Mensch (39) , Charlotte Caucheteux (45) , Christian Haverkamp (38) , Guillaume Lemaître (39) , Silvano Bosari (46) , Andrew South (47) , Tianxi Cai (48) , Isaac Kohane (1)
1 HMS - Harvard Medical School [Boston]
2 UNIPV - Università degli Studi di Pavia [Italia] = University of Pavia [Italy] = Université de Pavie [Italie]
3 UAB - University of Alabama at Birmingham [ Birmingham]
4 David Geffen School of Medicine [Los Angeles]
5 University of Kansas [Kansas City]
6 HEGP - Hôpital Européen Georges Pompidou [APHP]
7 University of Michigan [Ann Arbor]
8 IRCCS Pavia - ICS Maugeri - Istituti Clinici Scientifici Maugeri [Pavia]
9 Perelman School of Medicine
10 Massachusetts General Hospital [Boston]
11 BMI - Laboratory for BioMedical Informatics
12 University of Michigan Medical School [Ann Arbor]
13 AP-HP - Hôpital Bichat - Claude Bernard [Paris]
14 Boston Children's Hospital
15 IRCCS Ospedale San Raffaele [Milan, Italy]
16 BIOMERIS [Pavia]
17 MUSC - Medical University of South Carolina [Charleston]
18 Unité d'épidémiologie, biostatistique et registre des cancers [Poitou-Charentes]
19 BPH - Bordeaux population health
20 CHU Bordeaux - Centre Hospitalier Universitaire de Bordeaux
21 UB - Université de Bordeaux
22 LBM - Laboratoire de biomécanique
23 Azienda Ospedaliera Ospedale Papa Giovanni XXIII [Bergamo, Italy]
24 FAU - Friedrich-Alexander Universität Erlangen-Nürnberg = University of Erlangen-Nuremberg
25 Universitätsklinikum Erlangen [Erlangen]
26 NUHS - National University Health System [Singapore]
27 CHOP - Children’s Hospital of Philadelphia
28 NC TraCS - North Carolina Translational and Clinical Sciences [Chapel Hill]
29 AP-HP - Assistance publique - Hôpitaux de Paris (AP-HP)
30 LIMICS - Laboratoire d'Informatique Médicale et Ingénierie des Connaissances en e-Santé
31 2I - Infection et inflammation
32 LITIS - Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes
33 Service d'informatique médicale et biostatistiques [CHU Necker]
34 Service d'informatique médicale
35 CRC (UMR_S_1138 / U1138) - Centre de Recherche des Cordeliers
36 Universität Heidelberg [Heidelberg] = Heidelberg University
37 ZENITH - Scientific Data Management
38 Albert-Ludwigs-Universität Freiburg = University of Freiburg
39 PARIETAL - Modelling brain structure, function and variability based on high-field MRI data
40 clevy.io - Clevy.io - Agents conversationnels à destination des grandes entreprises et du secteur public [Paris]
41 MILA - Montreal Institute for Learning Algorithms [Montréal]
42 MNI - McConnell Brain Imaging Centre
43 Scool - Scool
44 CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189
45 X - École polytechnique
46 UNIMI - Università degli Studi di Milano = University of Milan
47 Jefferson (Philadelphia University + Thomas Jefferson University)
48 Harvard T.H. Chan School of Public Health
Nils Gehlenborg
Paul Avillach
  • Fonction : Auteur
  • PersonId : 1048440
Sehi L'Yi
Gilbert Omenn
Riccardo Bellazzi
Mauro Bucalo
Bertrand Moal
Piotr Sliz
Mohamad Daniar
Julien Champ
Charlotte Caucheteux
Tianxi Cai
Isaac Kohane

Résumé

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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Dates et versions

hal-02918344 , version 1 (21-08-2020)

Identifiants

Citer

Gabriel A. Brat, Griffin M. Weber, Nils Gehlenborg, Paul Avillach, Nathan P. Palmer, et al.. International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium. npj Digital Medicine, 2020, 3 (1), pp.#109. ⟨10.1038/s41746-020-00308-0⟩. ⟨hal-02918344⟩
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