ArticlemedRxiv : the preprint server for health sciences2025
Short-term changes in objectively measured activity predict brain atrophy and disability progression in multiple sclerosis.
Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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14 authors.
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Abstract
Objective: To evaluate how within-person changes in accelerometry-derived activity patterns translate to brain atrophy and disability worsening in people with multiple sclerosis (PwMS). Methods: We included PwMS aged ≥40 years with approximately annual brain MRI who wore GT9X Actigraph accelerometers every three months over three years. Accelerometry-derived indices included total and 2-hour specific activity, sedentary time, and circadian rhythm parameters. Confirmed disability worsening was characterized using the composite Expanded Disability Status Scale-plus (EDSS+) and whole brain segmentation used SLANT-CRUISE. We modeled within- and between-person effects using Cox (for EDSS+) and linear mixed effects (for MRI) multivariable-adjusted models adjusted for age, sex, and body mass index that included only accelerometry measures obtained prior to EDSS+. Results: Among 239 PwMS (mean age 54.8, 29% male), 120 experienced EDSS+-confirmed progression over a mean 2.9 years (SD: 1.1 years). Participants wore accelerometers an average of 7.4 times over 67 days. Total activity declined an average of 48,694 activity counts ( Interpretation: Within-person reductions in daytime activity patterns precede clinical disability worsening and brain atrophy in PwMS. Longitudinal accelerometry may offer sensitive, non-invasive biomarkers of subclinical disease progression in MS.
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