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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.
Summary
Predictors for multiple sclerosis (MS) phenotype transitions remain unclear. This study found older age at onset and multiple disease-modifying therapy switches predict faster progression from relapsing-remitting MS to non-relapsing secondary progressive MS.
Area of Science:
- Neurology
- Clinical Research
- Disease Progression
Background:
- Multiple sclerosis (MS) phenotype transitions, particularly from relapsing-remitting MS (RRMS) to secondary progressive MS (SPMS), are difficult to characterize.
- Predictors for these transitions are not well understood, limiting clinical management strategies.
Purpose of the Study:
- To investigate the transition dynamics between RRMS and SPMS.
- To identify predictors associated with these phenotype changes in MS patients.
Main Methods:
- Retrospective analysis of adult MS patients with over 10 years of follow-up data from the Comprehensive Longitudinal Investigation of MS (CLIMB) study.
- Classification of patients into RRMS, active SPMS (aSPMS), and non-relapsing SPMS (nrSPMS) based on clinical criteria.
- Assessment of demographics, disability scores, and potential transition predictors.
Main Results:
- 17.2% of RRMS patients transitioned to SPMS, with 92.8% classified as nrSPMS.
- Patients transitioning to nrSPMS were older and had a longer time to transition compared to those progressing to aSPMS.
- Older age at MS onset and frequent disease-modifying therapy switches were significantly linked to a shorter time to nrSPMS transition.
Conclusions:
- This study offers a detailed characterization of MS phenotype transitions, specifically the shift to nrSPMS.
- Findings may aid in clinical decision-making and the development of targeted therapies for progressive MS.
- Understanding transition predictors can help identify individuals at higher risk for progressive disease.
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