Murdoch Children’s Research Institute, Melbourne,, Australia

Author Of 1 Presentation

Clinical Outcome Measures Poster Presentation

P0104 - Long term disability trajectories in multiple sclerosis: a group-based trajectory analysis of the AusLong cohort (ID 1920)

Speakers
Presentation Number
P0104
Presentation Topic
Clinical Outcome Measures

Abstract

Background

Understanding progression of disability in multiple sclerosis (MS) is essential to design preventive and therapeutic strategies.

Objectives

We analyzed data from the Ausimmune Longitudinal (AusLong) Study to investigate the existing heterogeneity in long-term disability accumulation in a prospective cohort of People with MS (PwMS) followed over 10 years from the date of their first clinical diagnosis (FCD) and identify clinical and demographic factors associated with these trajectories.

Methods

We used a group-based trajectory model (GBTM) to measure the heterogeneity in the disability trajectories based on Expanded Disability Status Scale (EDSS) in a prospective cohort of 263 participants followed from FCD.

Results

We identified three distinct clinically meaningful disability trajectories: no or mild, moderate and severe disability trajectories. Those in the minimal disability trajectory did not show any appreciable progression of disability (median EDSS ~ 1 at 10-year review), those in moderate and severe disability trajectories experienced disability worsening (median EDSS~ 2.5 and 6, respectively). The relative probability of being in a worsening disability trajectory was higher for older age at onset, those experiencing a higher number of relapses within five-year post FCD and those having a shorter interval between the first two attacks. High annual relapse rate was associated with an upward shift in moderate disability trajectory, whereas non-smoking status was associated with reducing the EDSS score in minimal and severe disability trajectories.

Conclusions

Those at highest risk of rapid disability progression can be identified based on their early clinical information with potential therapeutic implications.

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