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Updated: Apr 12, 2026

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
Relapsing-remitting multiple sclerosis: patterns of response to disease-modifying therapies and associated factors: a
Maria José Sá1, João de Sá2, Lívia Sousa3
1Centro Hospitalar São João, Alameda Prof. Hernani Monteiro, 4200-319 Porto, Portugal ; Faculdade de Ciências da Saúde, Universidade Fernando Pessoa, Porto, Portugal.
Introduction:
Current treatments for relapsing-remitting multiple sclerosis (RRMS) are only partially effective. The objective of this study was to characterize treatment response in RRMS patients in Portugal to 12-month therapy with first-line disease-modifying therapies.
Methods:
In this retrospective study, neurologists at participating centers completed survey questionnaires using records of patients with RRMS who had received first-line treatment with one of five European Medicine Agency-approved agents in the 12 months prior to inclusion in the survey. Sub-optimal responders included patients treated for at least 1 year, and who had ≥1 relapse(s) or an increase of 1.5 points on the Expanded Disability Status Scale (EDSS; if baseline EDSS was 0) or an increase of ≥0.5 points (baseline EDSS ≥1). Optimal responders included patients treated for at least 1 year without relapse and who had an increase of <1.5 points on EDSS (if baseline EDSS was 0) or no increase in EDSS (baseline EDSS ≥1).
Results:
Data for 1,131 patients from 15 centers were analyzed. Twenty-six percent (95% confidence interval 23-28%) of patients had sub-optimal treatment response. Duration of therapy (P < 0.001), age at the start of therapy (P = 0.03), and baseline EDSS score (P < 0.001), were significantly different among treatments. Sub-optimal treatment response appeared to be related only to a more severe EDSS score at baseline and did not differ among therapies.
Conclusion:
Neurologists should closely monitor patients to optimize treatment strategies and better control disease, improving prognosis.
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