Longitudinal analysis of disability outcomes among young people with MS

Nikki Ow1, Ayse Kuspinar2, Nancy E Mayo1

  • 1School of Physical and Occupational Therapy, Faculty of Medicine, McGill University, Montreal, QC, Canada; Center for Outcomes Research and Evaluation (CORE), The Research Institute of the McGill University Health Center (RI-MUHC), Montreal, QC, Canada.

Abstract

Insights

Younger individuals with multiple sclerosis (MS) show better functional performance in gait, dexterity, and cognition. These findings highlight age-related differences in MS disability progression, crucial for understanding disease trajectories.

Area of Science:

  • Neurology
  • Clinical Research
  • Biostatistics

Background:

  • Age of onset in Multiple Sclerosis (MS) may impact disease progression and disability.
  • Younger MS onset may lead to distinct disability trajectories compared to later onset.

Purpose of the Study:

  • To identify longitudinal disability progression patterns in young MS patients within drug trials.
  • To compare disability progression between two age groups: ≤25 years and 26–35 years.

Main Methods:

  • Utilized data from the Multiple Sclerosis Outcomes Assessment Consortium (MSOAC).
  • Employed group-based trajectory models (GBTM) to identify longitudinal MSFC patterns.
  • Applied linear mixed models to estimate changes in performance over time, considering age and sex.

Main Results:

  • GBTM indicated minimal performance variability over time.
  • Younger participants (≤25 years) demonstrated superior performance in gait speed, dexterity, and cognition.
  • Men exhibited poorer dexterity and cognitive performance.
  • Pediatric-onset MS patients showed significant differences in dexterity, cognition, and EDSS compared to expected distributions.

Conclusions:

  • The integration of trajectory models and linear mixed models offers comprehensive insights into functional variability in MS over time.
  • Findings underscore the importance of age and sex in MS disability progression patterns.

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