Progression risk stratification with six-minute walk gait speed trajectory in multiple sclerosis.

ABSTRACT:

Background

Multiple Sclerosis (MS) disease progression has notable heterogeneity among patients and over time. There is no available single method to predict the risk of progression, which represents a significant and unmet need in MS.

Methods

MS and healthy control (HC) participants were recruited for a 2-year observational study. A latent-variable growth mixture model (GMM) was applied to cluster baseline 6-min walk gait speed trajectories (6MW^GST). MS patients within different 6 MW^GST clusters were identified and stratified. The group membership of these MS patients was compared against 2-year confirmed-disease progression (CDP). Clinical and patient-reported outcome (PRO) measures were compared between HC and MS subgroups over 2 years.

Results

SUBMITTER: Goldman MD 

PROVIDER: S-EPMC10582752 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature