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International Electronic Health Record-Derived COVID-19 Clinical Course Profile: The 4CE Consortium
Bucalo Mauro.
Kirchoff Katie.
Craig Jean.
Obeid Jihad.
Jouhet Vianney.
Griffier Romain.
Cossin Sebastien.
Moal Bertrand.
Patel Lav.
Bellasi Antonio.
Prokosch Hans.
Kraska Detlef.
Sliz Piotr.
Tan Amelia LM.
Ngiam Kee Yuan.
Zambelli Alberto.
Mowery Danielle.
Schiver Emily.
Devkota Batsal.
Bradford Robert.
Daniar Mohamad.
Daniel Christel.
Benoit Vincent.
Bey Romain.
Paris Nicolas.
Serre Patricia.
Orlova Nina.
Dubiel Julien.
Hilka Martin.
Jannot Anne Sophie.
Breant Stephane.
Leblanc Judith.
Griffon Nicolas.
Burgun Anita.
Bernaux Melodie.
Sandrin Arnaud.
Salamanca Elisa.
Ganslandt Thomas.
Gradinger Tobias.
Champ Julien.
Boeker Martin.
Martel Patricia.
Gramfort Alexandre.
Grisel Olivier.
Leprovost Damien.
Moreau Thomas.
Varoquaux Gael.
Vie Jill Jen.
Wassermann Demian.
Mensch Arthur.
Caucheteux Charlotte.
Haverkamp Christian.
Lemaitre Guillaume.
Haverkamp Christian.
Cai Tianxi.
Kohane Isaac.
Brat Gabriel.
Weber Griffin.
Gehlenborg Nils.
Avillach Paul.
Palmer Nathan.
Chiovato Luca.
Cimino James.
Waitman Lemuel.
Omenn Gilbert.
Malovini Alberto.
Moore Jason.
Beaulieu-Jones Brett.
Tibollo Valentina.
Murphy Shawn.
L'Yi Sehi.
Keller Mark.
Bellazzi Riccardo.
Hanauer David.
Serret-Larmande Arnaud.
Gutierrez-Sacristan Alba.
Holmes John.
Bell Douglas.
Mandl Kenneth.
Follett Robert.
Klann Jeffrey.
Murad Douglas.
Scudeller Luigia.
Acceso Abierto
Atribución-NoComercial-SinDerivadas
10.1101/2020.04.13.20059691
INTRODUCTION: The Coronavirus Disease 2019 (COVID-19) epidemic has caused extreme strains on health systems, public health infrastructure, and economies of many countries. A growing literature has identified key laboratory and clinical markers of pulmonary, cardiac, immune, coagulation, hepatic, and renal dysfunction that are associated with adverse outcomes. Our goal is to consolidate and leverage the largely untapped resource of clinical data from electronic health records of hospital systems in affected countries with the aim to better-define markers of organ injury to improve outcomes. METHODS: A consortium of international hospital systems of different sizes utilizing Informatics for Integrating Biology and the Bedside (i2b2) and Observational Medical Outcomes Partnership (OMOP) platforms was convened to address the COVID-19 epidemic. Over a course of two weeks, the group initially focused on admission comorbidities and temporal changes in key laboratory test values during infection. After establishing a common data model, each site generated four data tables of aggregate data as comma-separated values files. These non-interlinked files encompassed, for COVID-19 patients, daily case counts; demographic breakdown; daily laboratory trajectories for 14 laboratory tests; and diagnoses by diagnosis codes. RESULTS: 96 hospitals in the US, France, Italy, Germany, and Singapore contributed data to the consortium for a total of 27,927 COVID-19 cases and 187,802 performed laboratory values. Case counts and laboratory trajectories were concordant with existing literature. Laboratory test values at the time of viral diagnosis showed hospital-level differences that were equivalent to country-level variation across the consortium partners. CONCLUSIONS: In under two weeks, we formed an international community of researchers to answer critical clinical and epidemiological questions around COVID-19. Harmonized data sets analyzed locally and shared as aggregate data has allowed for rapid analysis and visualization of regional differences and global commonalities. Despite the limitations of our datasets, we have established a framework to capture the trajectory of COVID-19 disease in various subsets of patients and in response to interventions.
www.medrxiv.org
2020
Artículo
https://www.medrxiv.org/content/medrxiv/early/2020/04/18/2020.04.13.20059691.full.pdf
Inglés
VIRUS RESPIRATORIOS
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