| Literature DB >> 33597635 |
Gabriel A Brat1, Griffin M Weber1, Nils Gehlenborg1, Paul Avillach1, Nathan P Palmer1, Luca Chiovato2,3, James Cimino4, Lemuel R Waitman5, Gilbert S Omenn6, Alberto Malovini2, Jason H Moore7,8, Brett K Beaulieu-Jones1, Valentina Tibollo2, Shawn N Murphy9, Sehi L' Yi1, Mark S Keller1, Riccardo Bellazzi2,10, David A Hanauer11, Arnaud Serret-Larmande1, Alba Gutierrez-Sacristan1, John J Holmes7,11, Douglas S Bell12, Kenneth D Mandl13, Robert W Follett12, Jeffrey G Klann14, Douglas A Murad12, Luigia Scudeller15, Mauro Bucalo16, Katie Kirchoff17, Jean Craig17, Jihad Obeid17, Vianney Jouhet18, Romain Griffier18, Sebastien Cossin18, Bertrand Moal18, Lav P Patel5, Antonio Bellasi19, Hans U Prokosch20, Detlef Kraska21, Piotr Sliz13, Amelia L M Tan1, Kee Yuan Ngiam22, Alberto Zambelli23, Danielle L Mowery7,11, Emily Schiver24, Batsal Devkota25, Robert L Bradford26, Mohamad Daniar13, Christel Daniel27, Vincent Benoit27, Romain Bey27, Nicolas Paris27, Patricia Serre27, Nina Orlova27, Julien Dubiel27, Martin Hilka27, Anne Sophie Jannot28, Stephane Breant27, Judith Leblanc29, Nicolas Griffon27, Anita Burgun28, Melodie Bernaux30, Arnaud Sandrin27, Elisa Salamanca27, Sylvie Cormont27, Thomas Ganslandt31, Tobias Gradinger31, Julien Champ32, Martin Boeker33, Patricia Martel34, Loic Esteve35, Alexandre Gramfort36, Olivier Grisel36, Damien Leprovost37, Thomas Moreau36, Gael Varoquaux36, Jill-Jênn Vie38, Demian Wassermann36, Arthur Mensch39, Charlotte Caucheteux36, Christian Haverkamp40, Guillaume Lemaitre36, Silvano Bosari41, Ian D Krantz25, Andrew South42, Tianxi Cai43, Isaac S Kohane44.
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.Year: 2020 PMID： 33597635 DOI： 10.1038/s41746-020-00308-0
Source DB: PubMed Journal: NPJ Digit Med ISSN： 2398-6352