Related Experiment Video
Updated: Aug 16, 2026

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
Patterns and predictors of transition between multiple sclerosis phenotypes: A longitudinal analysis
Gauruv Bose1,2, Nupur Greene3, Brian C Healy1,4
1Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA.
Background:
Multiple sclerosis (MS) phenotype transitions are challenging to characterize. Our understanding of their predictors is also limited.
Objective:
To investigate the transition between relapsing-remitting MS (RRMS) and secondary progressive MS (SPMS) within the Comprehensive Longitudinal Investigation of MS at the Brigham and Women's Hospital (CLIMB) study.
Methods:
This retrospective study included adult people with MS having ≥10-year follow-up data who were classified as RRMS, primary progressive MS, and SPMS (active SPMS [aSPMS]: with relapse; nonrelapsing SPMS [nrSPMS]: no relapses within 2-year pre-index). Demographics, disability scores, and transition predictors were assessed.
Results:
Ninety-seven of 565 people with RRMS (17.2%) transitioned to SPMS, of whom 92.8% (n = 90/97) were classified as nrSPMS by the final visit. People with RRMS who transitioned to nrSPMS were older (mean age, 53.1 vs. 45.4 years; P < 0.001) and took longer time to transition (mean, 13.0 vs. 7.8 years; P < 0.001) than those who transitioned to aSPMS. Older age at MS onset and a high number of disease-modifying therapy switches were significantly associated with a shorter time-to-nrSPMS transition (P ≤ 0.001).
Conclusion:
This study provides a comprehensive characterization of MS phenotype transitions, that may enhance clinical decision-making and therapeutic targeting of underlying pathophysiology driving disability in progressive MS.
Related Concept Videos
Multiple Sclerosis l: Introduction
Longitudinal Research
Longitudinal Studies
