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Updated: Jan 21, 2026

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
Age-related decreases in relapses among adults with relapsing-onset multiple sclerosis
Natalie A Schwehr1, Karen M Kuntz1, Mary Butler1
1Division of Health Policy & Management, School of Public Health, University of Minnesota, Minneapolis, MN, USA.
Background:
Relapsing-onset multiple sclerosis (MS) typically starts in early- to mid-adulthood, yet the trajectory of disease activity over the subsequent lifetime remains poorly defined. Previous studies have not quantified the age-specific portion of decreases in annualized relapse rates (ARR).
Objective:
The aim of this article is to determine, under a range of disease-related assumptions, the age-specific component of decreases in ARR over time among adults with relapsing-onset MS.
Methods:
We used a simulation modeling approach to examine a range of assumptions about changes in ARR due to age versus disability status. Scenarios included variations in initial ARR and rate of worsening on the Expanded Disability Status Scale. Model parameters were developed through analysis of MS patients in British Columbia, Canada, and literature review.
Results:
We found a substantial age-specific decrease in ARR in all simulated scenarios, independent of disability worsening. Under a range of clinically plausible assumptions, 88%-97% of the decrease was attributed to age and 3%-13% to disability. The age-specific decrease ranged from 22% to 37% per 5 years for a wide range of initial ARR (0.33-1.0).
Conclusion:
Decreases in ARR were due mostly to age rather than disability status. To facilitate informed decision making in MS, it is important to quantify the dynamic relationship between relapses and age.
Insights
Annual relapse rates in relapsing-onset multiple sclerosis (MS) decrease significantly with age, largely independent of disability progression. This age-related decline in MS activity is a key factor in understanding disease trajectory.
Area of Science:
- Neurology
- Immunology
- Epidemiology
Background:
- Relapsing-onset multiple sclerosis (MS) typically affects young to middle-aged adults.
- The long-term disease activity trajectory, particularly age-related changes in relapse rates, remains incompletely understood.
- Previous research has not adequately quantified the age-specific contribution to decreases in annualized relapse rates (ARR).
Purpose of the Study:
- To quantify the age-specific component of decreases in ARR over time in adults with relapsing-onset MS.
- To differentiate the impact of aging versus disability worsening on ARR.
- To model these changes under various clinically relevant assumptions.
Main Methods:
- Utilized simulation modeling to explore changes in ARR.
- Assessed the influence of age and disability status on ARR.
- Incorporated data from British Columbia MS patients and literature reviews to inform model parameters.
Main Results:
- Demonstrated a substantial age-specific decrease in ARR across all simulated scenarios.
- Found that 88%-97% of the ARR decrease was attributable to age, with only 3%-13% attributed to disability worsening.
- Quantified age-specific ARR decreases ranging from 22% to 37% per 5 years for a broad spectrum of initial ARR.
Conclusions:
- Age is the primary driver of decreased relapse activity in relapsing-onset MS, more so than disability progression.
- Understanding the dynamic relationship between age and MS relapses is crucial for informed clinical decision-making.
- These findings highlight the importance of considering age in managing MS patients over their lifetime.
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