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Cerebral Small Vessel Disease MRI Features Do Not Improve the Prediction of Stroke Outcome

dc.rights.licenseopenen_US
dc.contributor.authorCOUTUREAU, Juliette
dc.contributor.authorASSELINEAU, Julien
dc.contributor.authorPEREZ, Paul
dc.contributor.authorKUCHCINSKI, Gregory
dc.contributor.authorSAGNIER, Sharmila
dc.contributor.authorRENOU, Pauline
dc.contributor.authorMUNSCH, Fanny
dc.contributor.authorLOPES, Renaud
dc.contributor.authorHENON, Hilde
dc.contributor.authorBORDET, Regis
hal.structure.identifierNeurocentre Magendie : Physiopathologie de la Plasticité Neuronale [U1215 Inserm - UB]
dc.contributor.authorDOUSSET, Vincent
dc.contributor.authorSIBON, Igor
hal.structure.identifierNeurocentre Magendie : Physiopathologie de la Plasticité Neuronale [U1215 Inserm - UB]
dc.contributor.authorTOURDIAS, Thomas
dc.date.accessioned2022-03-28T12:43:48Z
dc.date.available2022-03-28T12:43:48Z
dc.date.issued2021-01-26
dc.identifier.issn1526-632X (online) 0028-3878 (print)en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/136543
dc.description.abstractEnOBJECTIVE: To determine whether the total small vessel disease (SVD) score adds information to the prediction of stroke outcome compared to validated predictors, we tested different predictive models of outcome in patients with stroke. METHODS: White matter hyperintensity, lacunes, perivascular spaces, microbleeds, and atrophy were quantified in 2 prospective datasets of 428 and 197 patients with first-ever stroke, using MRI collected 24 to 72 hours after stroke onset. Functional, cognitive, and psychological status were assessed at the 3- to 6-month follow-up. The predictive accuracy (in terms of calibration and discrimination) of age, baseline NIH Stroke Scale score (NIHSS), and infarct volume was quantified (model 1) on dataset 1, the total SVD score was added (model 2), and the improvement in predictive accuracy was evaluated. These 2 models were also developed in dataset 2 for replication. Finally, in model 3, the MRI features of cerebral SVD were included rather than the total SVD score. RESULTS: Model 1 showed excellent performance for discriminating poor vs good functional outcomes (area under the curve [AUC] 0.915), and fair performance for identifying cognitively impaired and depressed patients (AUCs 0.750 and 0.688, respectively). A higher SVD score was associated with a poorer outcome (odds ratio 1.30 [1.07-1.58], p = 0.0090 at best for functional outcome). However, adding the total SVD score (model 2) or individual MRI features (model 3) did not improve the prediction over model 1. Results for dataset 2 were similar. CONCLUSIONS: Cerebral SVD was independently associated with functional, cognitive, and psychological outcomes, but had no clinically relevant added value to predict the individual outcomes of patients when compared to the usual predictors, such as age and baseline NIHSS.
dc.description.sponsorshipTranslational Research and Advanced Imaging Laboratory - ANR-10-LABX-0057en_US
dc.language.isoENen_US
dc.title.enCerebral Small Vessel Disease MRI Features Do Not Improve the Prediction of Stroke Outcome
dc.typeArticle de revueen_US
dc.identifier.doi10.1212/WNL.0000000000011208en_US
dc.subject.halSciences du Vivant [q-bio]/Neurosciences [q-bio.NC]en_US
dc.identifier.pubmed33184231en_US
bordeaux.journalNeurologyen_US
bordeaux.pagee527-e537en_US
bordeaux.volume96en_US
bordeaux.hal.laboratoriesNeurocentre Magendie - UMR-S 1215en_US
bordeaux.issue4en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionINSERMen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.identifier.funderIDAgence Régionale de Santé Hauts-de-Franceen_US
bordeaux.identifier.funderIDMinistère de la Santéen_US
hal.identifierhal-03621713
hal.version1
hal.date.transferred2022-03-28T12:43:51Z
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=Neurology&rft.date=2021-01-26&rft.volume=96&rft.issue=4&rft.spage=e527-e537&rft.epage=e527-e537&rft.eissn=1526-632X%20(online)%200028-3878%20(print)&rft.issn=1526-632X%20(online)%200028-3878%20(print)&rft.au=COUTUREAU,%20Juliette&ASSELINEAU,%20Julien&PEREZ,%20Paul&KUCHCINSKI,%20Gregory&SAGNIER,%20Sharmila&rft.genre=article


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