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dc.rights.licenseopenen_US
dc.contributor.authorKUHNEL, Line
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorBOUTELOUP, Vincent
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorLESPINASSE, Jeremie
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorCHENE, Genevieve
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorDUFOUIL, Carole
dc.contributor.authorMOLINUEVO, Jose Luis
dc.contributor.authorRAKET, Lars Lau
dc.contributor.authorGROUP, Memento Study
dc.contributor.authorTHE ALZHEIMER'S DISEASE NEUROIMAGING, Initiative
dc.date.accessioned2021-11-22T10:00:17Z
dc.date.available2021-11-22T10:00:17Z
dc.date.issued2021-09-28
dc.identifier.issn1552-5279 (Electronic) 1552-5260 (Linking)en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/123897
dc.description.abstractEnINTRODUCTION: The prognosis of patients at the pre-dementia stage is difficult to define. The aim of this study is to develop and validate a biomarker-based continuous model for predicting the individual cognitive level at any future moment. In addition to personalized prognosis, such a model could reduce trial sample size requirements by allowing inclusion of a homogenous patient population. METHODS: Disease-progression modeling of longitudinal cognitive scores of pre-dementia patients (baseline Clinical Dementia Rating </= 0.5) was used to derive a biomarker profile that was predictive of patient's cognitive progression along the dementia continuum. The biomarker profile model was developed and validated in the MEMENTO cohort and externally validated in the Alzheimer's Disease Neuroimaging Initiative. RESULTS: Of nine candidate biomarkers in the development analysis, three cerebrospinal fluid and two magnetic resonance imaging measures were selected to form the final biomarker profile. The model-based prognosis of individual future cognitive deficit was shown to significantly improve when incorporating biomarker information on top of cognition and demographic data. In trial power calculations, adjusting the primary analysis for the baseline biomarker profile reduced sample size requirements by approximately 10%. Compared to conventional cognitive cut-offs, inclusion criteria based on biomarker-profile cut-offs resulted in up to 28% reduced sample size requirements due to increased homogeneity in progression patterns. DISCUSSION: The biomarker profile allows prediction of personalized trajectories of future cognitive progression. This enables accurate personalized prognosis in clinical care and better selection of patient populations for clinical trials. A web-based application for prediction of patients' future cognitive progression is available online.
dc.language.isoENen_US
dc.title.enPersonalized prediction of progression in pre-dementia patients based on individual biomarker profile: A development and validation study
dc.typeArticle de revueen_US
dc.identifier.doi10.1002/alz.12363en_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
dc.identifier.pubmed34581496en_US
bordeaux.journalAlzheimer's and Dementiaen_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - UMR 1219en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionINSERMen_US
bordeaux.teamMORPH3Eusen_US
bordeaux.teamVINTAGEen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.identifierhal-03439298
hal.version1
hal.date.transferred2021-11-22T10:00:24Z
hal.exporttrue
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&amp;rft_val_fmt=info:ofi/fmt:kev:mtx:journal&amp;rft.jtitle=Alzheimer's%20and%20Dementia&amp;rft.date=2021-09-28&amp;rft.eissn=1552-5279%20(Electronic)%201552-5260%20(Linking)&amp;rft.issn=1552-5279%20(Electronic)%201552-5260%20(Linking)&amp;rft.au=KUHNEL,%20Line&amp;BOUTELOUP,%20Vincent&amp;LESPINASSE,%20Jeremie&amp;CHENE,%20Genevieve&amp;DUFOUIL,%20Carole&amp;rft.genre=article


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