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dc.rights.licenseopenen_US
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorBEN HASSEN, Celine
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorHELMER, Catherine
dc.contributor.authorBERR, Claudine
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorJACQMIN-GADDA, Helene
dc.date.accessioned2022-01-13T08:04:33Z
dc.date.available2022-01-13T08:04:33Z
dc.date.issued2021-11-09
dc.identifier.issn1476-6256 (Electronic) 0002-9262 (Linking)en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/124363
dc.description.abstractEnThe progression of dementia prevalence over the years and the lack of efficient treatments to stop or reverse the cognitive decline make dementia a major public health challenge in the developed world. Identifying subjects at high risk of developing dementia could improve the management of these patients and help selecting the target population for preventive clinical trials. We used joint modeling to build a dynamic prediction tool of dementia based on the change over time of two neurocognitive tests (the Mini-Mental State Examination and the Isaacs Set Tests) as well as an autonomy scale (the Instrumental Activities of Daily Living). The model was estimated on the French cohort PAQUID (1988-2015) and validated both by cross-validation and externally on the French cohort 3C (1999-2018). We evaluated its predictive abilities through Area Under the Receiver Operating Characteristics Curve and Brier score accounting for right censoring and competing risk of death and obtained Area Under the Curve equal to 0.95 in average for the risk of dementia in the next 5 or 10 years. This tool is able to discriminate a high risk group of subjects from the rest of the population. This could be of great help in clinical practice and research.
dc.language.isoENen_US
dc.subject.enAlzheimer disease
dc.subject.enCognition
dc.subject.enDementia
dc.subject.enDependency
dc.subject.enJoint model
dc.subject.enPrediction
dc.title.en5-Year Dynamic Prediction of Dementia Using Repeated Measures of Cognitive Tests and a Dependency Scale
dc.typeArticle de revueen_US
dc.identifier.doi10.1093/aje/kwab269en_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
dc.identifier.pubmed34753171en_US
bordeaux.journalAmerican Journal of Epidemiologyen_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - UMR 1219en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionINSERMen_US
bordeaux.teamBIOSTAT_BPHen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.identifierhal-03524063
hal.version1
hal.date.transferred2022-01-13T08:04:36Z
hal.exporttrue
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=American%20Journal%20of%20Epidemiology&rft.date=2021-11-09&rft.eissn=1476-6256%20(Electronic)%200002-9262%20(Linking)&rft.issn=1476-6256%20(Electronic)%200002-9262%20(Linking)&rft.au=BEN%20HASSEN,%20Celine&HELMER,%20Catherine&BERR,%20Claudine&JACQMIN-GADDA,%20Helene&rft.genre=article


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