Disability Worsening Phenotypes in Multiple Sclerosis and Impact of Disease-Modifying Treatments
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Le résumé fourni par la source
BACKGROUND AND OBJECTIVES: Patients with multiple sclerosis (MS) exhibit variability in disability progression and response to disease-modifying therapies (DMTs). Identifying those at greatest risk of disability worsening and most likely to benefit from high-efficacy DMTs remains challenging. We aimed to identify distinct disability worsening phenotypes, explore their mechanisms, and evaluate DMT impact across them. METHODS: In this multicenter cohort study, we analyzed clinical and MRI data from propensity-matched cohorts of treated and untreated patients with relapse-onset MS from the Italian MS Register. Inclusion criteria were as follows: ≥3 years of follow-up, ≤1 year between disease onset and first assessment, and complete clinical and baseline MRI data. Latent class mixture models were applied to Expanded Disability Status Scale (EDSS) scores from untreated patients to identify disability worsening phenotypes. We compared proportions of progression independent of relapse activity (PIRA) and relapse-associated worsening events across phenotypes. A random forest algorithm, trained (70%) and tested (30%) on baseline clinical and MRI features of untreated patients, was used to assign phenotypes to treated patients. Linear mixed-effects models estimated DMT impact on disability trajectories within each phenotype. RESULTS: < 0.001) proving especially beneficial for the "rapid-worsening" phenotype. DISCUSSION: We identified 4 clinically relevant disability worsening phenotypes in relapse-onset MS, primarily driven by PIRA, with greater CNS involvement linked to early and rapid progression. Despite reliance on EDSS alone, these phenotypes may inform personalized treatment and response assessment.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Disability Worsening Phenotypes in Multiple Sclerosis and Impact of Disease-Modifying Treatments
- Date Crossref
- 23/12/2025
- Éditeur
- Ovid Technologies (Wolters Kluwer Health)
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Les institutions déclarées
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