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Diagnostic accuracy of the International Classification of Diseases, Tenth Revision, codes of heart failure in an administrative database

dc.rights.licenseopenen_US
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorBOSCO-LEVY, Pauline
dc.contributor.authorDURET, S.
dc.contributor.authorPICARD, F.
dc.contributor.authorDOS SANTOS, P.
dc.contributor.authorPUYMIRAT, E.
dc.contributor.authorGILLERON, V.
dc.contributor.authorBLIN, Patrick
dc.contributor.authorCHATELLIER, G.
dc.contributor.authorLOOTEN, V.
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorMOORE, Nicholas
dc.date.accessioned2020-05-19T07:57:12Z
dc.date.available2020-05-19T07:57:12Z
dc.date.issued2019
dc.identifier.issn1053-8569en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/7629
dc.description.abstractEnPURPOSE: Heart failure (HF) is a common, serious, and still poorly known illness, which might benefit from studies in claims databases. However, to provide reliable estimates, HF patients must be adequately identified. This validation study aimed to estimate the diagnostic accuracy of the International Classification of Diseases, Tenth Revision (ICD-10) codes I50.x, heart failure, in the French hospital discharge diagnoses database. METHODS: This study was performed in two university hospitals, comparing recorded discharge diagnoses and electronic health records (EHRs). Patients with discharge ICD-10 codes 150.x were randomly selected. Their EHRs were reviewed to classify HF diagnosis as definite, potential, or miscoded based on the European Society of Cardiology diagnostic criteria, from which the codes' positive predictive value (PPV) was computed. To estimate sensitivity, patients with an EHR HF diagnosis were identified, and the presence of the I50.x codes was sought for in the hospital discharge database. RESULTS: Two hundred possible cases of HF were selected from the hospital discharge database, and 229 patients with an HF diagnosis were identified from the EHR. The PPV of I50.x codes was 60.5% (95% CI, 53.7%-67.3%) for definite HF and 88.0% (95% CI, 83.5%-92.5%) for definite/potential HF. The sensitivity of I50.x codes was 64.2% (95% CI, 58.0%-70.4%). PPV results were similar in both hospitals; sensitivity depended on the source of EHR: Departments of cardiology had a higher sensitivity than had nonspecialized wards. CONCLUSIONS: Diagnosis codes I50.x in discharge summary databases accurately identify patients with HF but fail to capture some of them.
dc.language.isoENen_US
dc.subject.enPharmacoEpi-Drugs
dc.title.enDiagnostic accuracy of the International Classification of Diseases, Tenth Revision, codes of heart failure in an administrative database
dc.title.alternativePharmacoepidemiol Drug Safen_US
dc.typeArticle de revueen_US
dc.identifier.doi10.1002/pds.4690en_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
dc.identifier.pubmed30395375en_US
bordeaux.journalPharmacoepidemiology and Drug Safetyen_US
bordeaux.page194-200en_US
bordeaux.volume28en_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - U1219en_US
bordeaux.issue2en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.identifierhal-03209493
hal.version1
hal.date.transferred2021-04-27T09:29:01Z
hal.exporttrue
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