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Updated: Jul 4, 2026

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
Relapses in multiple sclerosis are age- and time-dependent
1Department of Medicine (Neurology), rm S178, 2211 Wesbrook Mall, University of British Columbia, Vancouver BCV6T2B5, Canada. tremlett@interchange.ubc.ca
Objectives:
To examine the relative relapse-rate patterns over time in a relapsing multiple sclerosis (MS) cohort and to investigate potential predictors of relapse rates and periods of low-relapse activity.
Methods:
This retrospective cohort study followed 2477 relapsing-remitting (RR) MS patients from onset to 1 July 2003. Annualised relapse rates were examined according to sex, age at onset, the patient's current age and disease duration. The relationship between relapse rates and baseline characteristics (sex, onset age and onset symptoms) were examined using Poisson regression. Time to the first 5 years relapse-free was examined using Kaplan-Meier survival analysis.
Results:
The mean follow-up time (from onset of MS symptoms) was 20.6 years, during which time 11,722 post-onset relapses were recorded. The relapse rate decreased by 17% every 5 years (between years 5 to 30 post-onset), but this decline increased in magnitude with increasing onset age. Women and those with onset sensory symptoms exhibited a higher relapse rate (p< or =0.001). More than three-quarters of patients (1692/2189) experienced a 5-year relapse-free period during the RR phase.
Conclusion:
Relapse rates were age- and time-dependent. Our observations have clinical implications: 1) any drug able to modify relapse rates has the greatest potential for a population impact in patients <40 years old and within the first few demi-decades of disease; 2) continuation of drug beyond these times may be of limited value; 3) long-term follow-up studies must consider that relapse rates probably decline at different rates over time according to the patient's onset age; 4) a relapse-quiescent period in MS is not uncommon.
Insights
Multiple sclerosis (MS) relapse rates naturally decline over time, particularly in younger patients and early in the disease course. A significant portion of patients experience long relapse-free periods, suggesting age and disease duration influence MS activity.
Area of Science:
- Neurology
- Clinical Epidemiology
Background:
- Relapsing-remitting multiple sclerosis (RRMS) is characterized by unpredictable relapses.
- Understanding relapse rate patterns and predictors is crucial for effective disease management.
Purpose of the Study:
- To analyze relapse rate trends over time in a large RRMS cohort.
- To identify factors influencing relapse frequency and periods of remission.
Main Methods:
- Retrospective cohort study of 2477 RRMS patients.
- Analysis of annualised relapse rates based on demographics and disease duration.
- Poisson regression and Kaplan-Meier survival analysis were employed.
Main Results:
- Relapse rates decreased by 17% every 5 years from year 5 to 30 post-onset.
- Higher relapse rates were observed in women and those with sensory onset symptoms.
- Over 75% of patients achieved a 5-year relapse-free period.
Conclusions:
- Relapse rates are significantly influenced by patient age and time since disease onset.
- Therapeutic interventions targeting relapse rates may have the greatest impact in younger patients (<40 years) and early disease stages.
- Long-term studies must account for age-dependent variations in relapse rate decline and the common occurrence of relapse-quiescent periods.
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