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Updated: Feb 4, 2026

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
Age is a critical determinant in recovery from multiple sclerosis relapses
Brittani L Conway1, Burcu Zeydan2, Uğur Uygunoğlu3
1Mayo Clinic Center for Multiple Sclerosis and Autoimmune Neurology, and Department of Neurology, Mayo Clinic College of Medicine, Rochester, MN, USA/ HealthPartners Neuroscience Center, Saint Paul, MN, USA.
Objective:
To evaluate the impact of age on recovery from multiple sclerosis relapses.
Background:
Increasing disability in multiple sclerosis is a consequence of progressive disease and incomplete relapse recovery.
Methods:
The first and last-ever relapse data (357 relapses in 193 patients) from the Olmsted County population-based multiple sclerosis cohort were systematically reviewed for age, fulminance, location (optic nerve, brainstem/cerebellar, spinal cord), peak deficit, and maximum recovery. Three different relapse-outcome measures were studied both as paired analyses and as an overall group effect: change from peak deficit to maximum recovery in raw functional system score related to the relapse (ΔFSS), a previously published FSS-based relapse-impact model, and change from peak deficit to maximum recovery in Extended Disability Status Scale (ΔEDSS) score.
Results:
Older age was linearly associated with worse recovery in the ΔFSS outcome (p = 0.002), ΔEDSS outcome (p < 0.001), and the FSS-based relapse-impact model (p < 0.001). A multivariate analysis of ΔFSS outcome linked poor recovery to older age (p = 0.015), relapse location (transverse myelitis or brainstem/cerebellar syndrome; p < 0.001), and relapse fulminance (p = 0.004).
Conclusion:
Multiple sclerosis-relapse recovery declines in a linear fashion with increased age, which should be considered when making treatment decisions.
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