SMILE: a predictive model for Scoring the severity of relapses in MultIple scLErosis
dc.rights.license | open | en_US |
dc.contributor.author | LEJEUNE, F. | |
dc.contributor.author | CHATTON, A. | |
dc.contributor.author | LAPLAUD, D.-A. | |
dc.contributor.author | LE PAGE, E. | |
dc.contributor.author | WIERTLEWSKI, S. | |
dc.contributor.author | EDAN, G. | |
dc.contributor.author | KERBRAT, A. | |
dc.contributor.author | VEILLARD, D. | |
dc.contributor.author | HAMONIC, S. | |
dc.contributor.author | JOUSSET, N. | |
dc.contributor.author | LE FRERE, F. | |
hal.structure.identifier | Neurocentre Magendie : Physiopathologie de la Plasticité Neuronale [U1215 Inserm - UB] | |
dc.contributor.author | OUALLET, Jean Christophe | |
hal.structure.identifier | Neurocentre Magendie : Physiopathologie de la Plasticité Neuronale [U1215 Inserm - UB] | |
dc.contributor.author | BROCHET, Bruno | |
hal.structure.identifier | Neurocentre Magendie : Physiopathologie de la Plasticité Neuronale [U1215 Inserm - UB] | |
dc.contributor.author | RUET, Aurelie | |
dc.contributor.author | FOUCHER, Y. | |
dc.contributor.author | MICHEL, L. | |
dc.date.accessioned | 2022-03-25T13:43:40Z | |
dc.date.available | 2022-03-25T13:43:40Z | |
dc.date.issued | 2021-02 | |
dc.identifier.issn | 1434-1459 (online) | en_US |
dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/136540 | |
dc.description.abstractEn | Background : In relapsing–remitting multiple sclerosis (RRMS), relapse severity and residual disability are difficult to predict. Nevertheless, this information is crucial both for guiding relapse treatment strategies and for informing patients. Objective : We, therefore, developed and validated a clinical-based model for predicting the risk of residual disability at 6 months post-relapse in MS. Methods : We used the data of 186 patients with RRMS collected during the COPOUSEP multicentre trial. The outcome was an increase of ≥ 1 EDSS point 6 months post-relapse treatment. We used logistic regression with LASSO penalization to construct the model, and bootstrap cross-validation to internally validate it. The model was externally validated with an independent retrospective French single-centre cohort of 175 patients. Results : The predictive factors contained in the model were age > 40 years, shorter disease duration, EDSS increase ≥ 1.5 points at time of relapse, EDSS = 0 before relapse, proprioceptive ataxia, and absence of subjective sensory disorders. Discriminative accuracy was acceptable in both the internal (AUC 0.82, 95% CI [0.73, 0.91]) and external (AUC 0.71, 95% CI [0.62, 0.80]) validations. Conclusion : The predictive model we developed should prove useful for adapting therapeutic strategy of relapse and follow-up to individual patients. | |
dc.language.iso | EN | en_US |
dc.subject.en | EDSS | |
dc.subject.en | Multiple sclerosis | |
dc.subject.en | Predictive model | |
dc.subject.en | Relapse phenotype | |
dc.subject.en | Relapse recovery | |
dc.title.en | SMILE: a predictive model for Scoring the severity of relapses in MultIple scLErosis | |
dc.title.alternative | J Neurol . | en_US |
dc.type | Article de revue | en_US |
dc.identifier.doi | 10.1007/s00415-020-10154-5 | en_US |
dc.subject.hal | Sciences du Vivant [q-bio]/Neurosciences [q-bio.NC] | en_US |
dc.identifier.pubmed | 32902734 | en_US |
bordeaux.journal | Journal of Neurology | en_US |
bordeaux.page | 669-679 | en_US |
bordeaux.volume | 268 | en_US |
bordeaux.hal.laboratories | Neurocentre Magendie - UMR-S 1215 | en_US |
bordeaux.issue | 2 | en_US |
bordeaux.institution | Université de Bordeaux | en_US |
bordeaux.institution | INSERM | en_US |
bordeaux.peerReviewed | oui | en_US |
bordeaux.inpress | non | en_US |
hal.export | false | |
dc.rights.cc | Pas de Licence CC | en_US |
bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Journal%20of%20Neurology&rft.date=2021-02&rft.volume=268&rft.issue=2&rft.spage=669-679&rft.epage=669-679&rft.eissn=1434-1459%20(online)&rft.issn=1434-1459%20(online)&rft.au=LEJEUNE,%20F.&CHATTON,%20A.&LAPLAUD,%20D.-A.&LE%20PAGE,%20E.&WIERTLEWSKI,%20S.&rft.genre=article |
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