학술논문
International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium
Document Type
article
Author
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
Source
npj Digital Medicine, Vol 3, Iss 1, Pp 1-9 (2020)
Subject
Language
English
ISSN
2398-6352
Abstract
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.