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Updated: Jul 3, 2026
A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
Multiple sclerosis relapses: a multivariable analysis of residual disability determinants
M Vercellino1, A Romagnolo, A Mattioda
1Department of Neuroscience, University of Turin, Italy.
Background:
Recovery from multiple sclerosis (MS) relapses is variable. The factors influencing persistence of residual disability (RD) after a relapse are still to be thoroughly elucidated.
Aims Of Study:
To assess RD after MS relapses and to define the factors associated with persistence of RD.
Methods:
Data were retrospectively collected for all relapses in a population of relapsing-remitting MS patients during 3 years. Relapse severity and RD after 1 year were calculated on Expanded Disability Status Scale basis. A multivariable analysis for factors influencing RD and relapse severity was performed (variables: age, gender, disease duration, oligoclonal bands, relapse severity, monosymptomatic/polysymptomatic relapse, immunomodulating treatment, incomplete recovery at 1 month).
Results:
A total of 174 relapses were assessed. RD after 1 year was observed in 54.5% of the relapses. Higher risk of RD was associated with occurrence of a severe relapse (P = 0.024). Incomplete recovery at 1 month was highly predictive of RD at 1 year (P < 0.0001). Risk of a severe relapse was associated with age
Conclusions:
Incomplete recovery at 1 month is a predictor of long-term persistence of RD. Higher relapse severity is associated with higher risk of RD. Risk of severe relapses is lower in patients treated with immunomodulating drugs.
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