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dc.rights.licenseopenen_US
hal.structure.identifierBiologie des maladies cardiovasculaires = Biology of Cardiovascular Diseases
dc.contributor.authorBATS, Marie-Lise
dc.contributor.authorRUCHETON, Benoit
dc.contributor.authorFLEUR, Tara
dc.contributor.authorORIEUX, Arthur
dc.contributor.authorCHEMIN, Clement
hal.structure.identifierBiologie des maladies cardiovasculaires = Biology of Cardiovascular Diseases
dc.contributor.authorRUBIN, Sebastien
dc.contributor.authorCOLOMBIES, Brigitte
dc.contributor.authorDESCLAUX, Arnaud
dc.contributor.authorRIVOISY, Claire
dc.contributor.authorMERIGLIER, Etienne
dc.contributor.authorRIVIERE, Etienne
dc.contributor.authorBOYER, Alexandre
dc.contributor.authorGRUSON, Didier
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorPELLEGRIN, Isabelle
hal.structure.identifierMicrobiologie Fondamentale et Pathogénicité [MFP]
dc.contributor.authorTRIMOULET, Pascale
dc.contributor.authorGARRIGUE, Isabelle
dc.contributor.authorALKOURI, Rana
hal.structure.identifierBiothérapies des maladies génétiques et cancers
dc.contributor.authorDUPIN, Charles
hal.structure.identifierBiothérapies des maladies génétiques et cancers
dc.contributor.authorMOREAU-GAUDRY, Francois
hal.structure.identifierBiothérapies des maladies génétiques et cancers
dc.contributor.authorBEDEL, Aurelie
hal.structure.identifierBiothérapies des maladies génétiques et cancers
dc.contributor.authorDABERNAT, Sandrine
dc.date.accessioned2021-06-23T13:12:45Z
dc.date.available2021-06-23T13:12:45Z
dc.date.issued2021-04-17
dc.identifier.issn1932-6203en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/79274
dc.description.abstractEnClinical and laboratory predictors of COVID-19 severity are now well described and combined to propose mortality or severity scores. However, they all necessitate saturable equipment such as scanners, or procedures difficult to implement such as blood gas measures. To provide an easy and fast COVID-19 severity risk score upon hospital admission, and keeping in mind the above limits, we sought for a scoring system needing limited invasive data such as a simple blood test and co-morbidity assessment by anamnesis. A retrospective study of 303 patients (203 from Bordeaux University hospital and an external independent cohort of 100 patients from Paris Pitié-Salpêtrière hospital) collected clinical and biochemical parameters at admission. Using stepwise model selection by Akaike Information Criterion (AIC), we built the severity score Covichem. Among 26 tested variables, 7: obesity, cardiovascular conditions, plasma sodium, albumin, ferritin, LDH and CK were the independent predictors of severity used in Covichem (accuracy 0.87, AUROC 0.91). Accuracy was 0.92 in the external validation cohort (89% sensitivity and 95% specificity). Covichem score could be useful as a rapid, costless and easy to implement severity assessment tool during acute COVID-19 pandemic waves.
dc.language.isoENen_US
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.title.enCovichem: A biochemical severity risk score of COVID-19 upon hospital admission
dc.typeArticle de revueen_US
dc.identifier.doi10.1371/journal.pone.0250956en_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
dc.identifier.pubmed33956870en_US
bordeaux.journalPLoS ONEen_US
bordeaux.pagee0250956en_US
bordeaux.volume16en_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - UMR 1219en_US
bordeaux.issue5en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionINSERMen_US
bordeaux.institutionCNRS
bordeaux.teamMORPH3Eusen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.exportfalse
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=PLoS%20ONE&rft.date=2021-04-17&rft.volume=16&rft.issue=5&rft.spage=e0250956&rft.epage=e0250956&rft.eissn=1932-6203&rft.issn=1932-6203&rft.au=BATS,%20Marie-Lise&RUCHETON,%20Benoit&FLEUR,%20Tara&ORIEUX,%20Arthur&CHEMIN,%20Clement&rft.genre=article


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