Prediction of disease activity and treatment failure in relapsing-remitting MS patients initiating daily oral DMTs

Agustin Pappolla, Cristina Auger, Augusto Sao-Aviles, Carmen Tur, Marta Rodriguez-Barranco, Álvaro Cobo-Calvo, Neus Mongay-Ochoa, Breogán Rodríguez-Acevedo, Ana Zabalza, Luciana Midaglia, Pere Carbonell-Mirabent, Rene Carvajal, Joaquín Castilló-Justribó, Nathane Braga, Luca Bollo, Angela Vidal-Jordana, Georgina Arrambide, Carlos Nos, Annalaura Salerno, Ingrid GalánManuel Comabella, Jaume Sastre-Garriga, Mar Tintoré, Alex Rovira, Xavier Montalban, Jordi Río

Research output: Contribution to journalArticleResearchpeer-review

Abstract

Background: Limited data exist regarding treatment response prediction to oral disease-modifying therapies (DMTs) in multiple sclerosis (MS).Objectives: We assessed the capacity of available scoring systems to anticipate disease activity parameters in naive relapsing-remitting MS (RRMS) patients initiating daily oral DMTs, hypothesizing that they exhibit different predictive potentials.Methods: We conducted a retrospective study and applied the Rio Score (RS), modified Rio Score (mRS), and MAGNIMS Score 12 months after DMT initiation. At 36 months, we examined their ability to predict evidence of disease activity (EDA) components and treatment failure by logistic regression analysis.Results: Notably, 218 patients (62.4% females) initiating dimethyl fumarate, teriflunomide, and fingolimod were included. At 36 months, the RS high-risk group predicted evidence of clinical activity (odds ratio (OR) 10 [2.7-36.9]) and treatment failure (OR 10.6 [3.4-32.5]) but did not predict radiological activity (OR 1.9 [0.7-5]). The mRS non-responders group did not predict EDA and treatment failure. RS, mRS, and MAGNIMS 0 categories showed significantly lower EDA and treatment failure than the remainder.Conclusion: Scoring systems present different predictive abilities for disease activity parameters at 36 months in MS patients initiating daily oral therapies, warranting further adjustments (i.e. introduction of fluid biomarkers) to depict disease activity status fully.
Original languageEnglish
Pages (from-to)820-832
Number of pages13
JournalMultiple sclerosis (Houndmills, Basingstoke, England)
Volume30
Issue number7
Early online date29 Mar 2024
DOIs
Publication statusPublished - Jun 2024

Keywords

  • Disease-modifying therapies
  • Evidence of disease activity
  • Non-evidence of disease activity
  • Treatment failure
  • Treatment response

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