Modelling Disease Progression of Multiple Sclerosis in a South Wales Cohort

Uzochukwu, Emeka C.; Harding, Katharine E.; Hrastelj, James; Kreft, Karim L.; Holmans, Peter; Robertson, Neil P.; Tallantyre, Emma C.; Lawton, Michael

Abstract

Objectives: The objective of this study was to model multiple sclerosis (MS) disease progression and compare disease trajectories by sex, age of onset, and year of diagnosis. Study Design and Setting: Longitudinal EDSS scores (20,854 observations) were collected for 1,787 relapse-onset MS patients at MS clinics in South Wales and modelled using a multilevel model (MLM). The MLM adjusted for covariates (sex, age of onset, year of diagnosis, and disease-modifying treatments), and included interactions between baseline covariates and time variables. Results: The optimal model was truncated at 30 years after disease onset and excluded EDSS recorded within 3 months of relapse. As expected, older age of onset was associated with faster disease progression at 15 years (effect size (ES): 0.75; CI: 0.63, 0.86; p: <0.001) and female-sex progressed more slowly at 15 years (ES: -0.43; CI: -0.68, -0.18; p: <0.001). Patients diagnosed more recently (defined as 2007-2011 and >2011) progressed more slowly than those diagnosed historically (<2006); (ES: -0.46; CI: -0.75, -0.16; p: 0.006) and (ES: -0.95; CI: -1.20, -0.70; p: <0.001), respectively. Conclusion: We present a novel model of MS outcomes, accounting for the non-linear trajectory of MS and effects of baseline covariates, validating well-known risk factors (sex and age of onset) associated with disease progression. Also, patients diagnosed more recently progressed more slowly than those diagnosed historically.

Citation

Uzochukwu, E. C., Harding, K. E., Hrastelj, J., Kreft, K. L., Holmans, P., Robertson, N. P., Tallantyre, E. C., & Lawton, M. (2024). Modelling Disease Progression of Multiple Sclerosis in a South Wales Cohort. Neuroepidemiology, 58(3), 218-226. https://doi.org/10.1159/000536427

• Journal Article Type: Article
• Acceptance Date: Feb 20, 2024
• Online Publication Date: Feb 20, 2024
• Publication Date: 2024-06
• Deposit Date: Jul 22, 2025
• Publicly Available Date: Jul 22, 2025
• Journal: Neuroepidemiology
• Print ISSN: 0251-5350
• Electronic ISSN: 1423-0208
• Publisher: Karger Publishers
• Peer Reviewed: Peer Reviewed
• Volume: 58
• Issue: 3
• Pages: 218-226
• DOI: https://doi.org/10.1159/000536427
• Public URL: https://nottingham-repository.worktribe.com/output/41929903
• Publisher URL: https://karger.com/ned/article/58/3/218/895952/Modelling-Disease-Progression-of-Multiple