Timing and Predictive Value of Clinical Conditions Preceding Multiple Sclerosis in the UK Biobank.

ABSTRACT:

Objectives

Multiple sclerosis (MS) patients often experience a higher incidence of clinical conditions before diagnosis, suggesting a prodromal phase. However, their predictive value and temporal trajectories remain underexplored. We investigated these aspects using the large UK Biobank's population-based cohort, which provided clinical history through ICD-10 diagnosis codes.

Methods

We assessed associations between 600 clinical conditions and MS risk in 477,421 individuals using Cox models adjusted for demographics, smoking, and MS polygenic risk score (MS-PRS). Statistically significant conditions were included in a LASSO Cox regression (five-fold cross-validation on 70% training set) to identify key predictors, with performance assessed by the C-index and age-dependent ar

SUBMITTER: Nova A 

PROVIDER: S-EPMC12516241 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature