Disability progression in multiple sclerosis: a latent class analysis of predictors - PubMed
a day ago
- #Disability Progression
- #Latent Class Analysis
- #Multiple Sclerosis
- Identified seven distinct disability progression trajectories in multiple sclerosis (MS) using latent class trajectory modeling.
- Older age at diagnosis, longer baseline disease duration, and higher baseline EDSS score were associated with unfavorable progression.
- More frequent early relapses, poor cognitive performance, and autoimmune comorbidities also linked to worse outcomes.
- Lifestyle factors such as obesity, smoking, and low sun exposure were associated with worse disability progression.
- High physical activity decreased the odds of unfavorable progression, while baseline vitamin D levels showed no significant association.
- Findings highlight the heterogeneity of MS progression and the importance of early modifiable factors.