Performance of treatment response scoring systems among patients with multiple sclerosis treated with high-efficacy therapies

Mariano Marrodan, Augusto Sao Avilés, Jordi Río, Álvaro Cobo-Calvo, Victoria Fernández, Agustin Pappolla, Joaquín Castilló, Ángela Vidal-Jordana, Georgina Arrambide, Carmen Tur, Breogán Rodríguez-Acevedo, Ana Zabalza, Neus Mongay-Ochoa, Andreu Vilaseca, Marta Rodriguez, Ingrid Galán, Manuel Comabella, Jaume Sastre-Garriga, Mar Tintoré, Cristina AugerÀlex Rovira, Xavier Montalban, Luciana Midaglia

Research output: Contribution to journalArticleResearchpeer-review

Abstract

BACKGROUND: Predicting treatment response and disease progression in multiple sclerosis (MS) is challenging. Treatment Response Scoring Systems (TRSS) are potentially useful, but their utility in patients receiving high-efficacy therapies and very high-efficacy therapies (HET/vHET) remains unclear. OBJECTIVE: This study aimed to evaluate the performance of TRSS in patients treated with HET/vHET. METHODS: We retrospectively studied MS patients treated with HET/vHET in an MS specialized centre. TRSS, including the Rio Score, modified Rio Score and MAGNIMS score, were applied to assess response to treatment. We evaluated the predictive value of the TRSS on disease activity and disability progression. RESULTS: TRSS effectively predicted disease activity and progression of disability in patients treated with HET/vHET. Patients with high TRSS scores at 12 months post-HET/vHET initiation had a significantly increased risk of relapses, new lesions on magnetic resonance imaging (MRI) scans and progression of disability at 4 years. DISCUSSION: Our findings highlight the importance of personalized treatment strategies in MS. TRSS are valuable tools for monitoring treatment response, guiding clinical decision-making and optimizing patient care.

Original languageEnglish
Number of pages10
JournalMultiple sclerosis (Houndmills, Basingstoke, England)
Early online date10 Feb 2025
DOIs
Publication statusPublished - 10 Feb 2025

Keywords

  • Disease prognosis
  • High-efficacy treatment
  • Multiple sclerosis
  • Treatment response scoring systems

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