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

Gabriel A BratGriffin M WeberNils GehlenborgPaul AvillachNathan P PalmerLuca ChiovatoJames J CiminoLemuel R WaitmanGilbert S OmennAlberto MaloviniJason H MooreBrett K Beaulieu-JonesValentina TibolloShawn N MurphySehi L' YiMark S KellerRiccardo BellazziDavid A HanauerArnaud Serret-LarmandeAlba Gutierrez-SacristanJohn J HolmesDouglas S BellKenneth D MandlRobert W FollettJeffrey G KlannDouglas A MuradLuigia ScudellerMauro BucaloKatie KirchoffJean CraigJihad S ObeidVianney JouhetRomain GriffierSebastien CossinBertrand MoalLav P PatelAntonio BellasiHans U ProkoschDetlef KraskaPiotr SlizAmelia Li Min TanKee-Yuan NgiamAlberto ZambelliDanielle L MoweryEmily SchiverBatsal DevkotaRobert Louis BradfordMohamad DaniarChristel DanielVincent BenoitRomain BeyNicolas ParisPatricia SerreNina OrlovaJulien DubielMartin HilkaAnne Sophie JannotStephane BreantJudith LeblancNicolas GriffonAnita BurgunMelodie BernauxArnaud SandrinElisa SalamancaSylvie CormontThomas GanslandtTobias GradingerJulien ChampMartin BoekerPatricia MartelLoic EsteveAlexandre GramfortOlivier GriselDamien LeprovostThomas MoreauGael VaroquauxJill-Jênn VieDemian WassermannArthur MenschCharlotte CaucheteuxChristian HaverkampGuillaume LemaitreSilvano BosariIan D KrantzAndrew Michael SouthTianxi CaiIsaac S Kohane
Published in: NPJ digital medicine (2020)
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.
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