To assess the relationships between research visit and real-world digital mobility outcome (DMO)-derived gait parameters and explore the correlations between DMOs and multiple sclerosis (MS)-related disability.

Over 75% of people with MS (pwMS) experience significant gait abnormalities, yet current gold-standard mobility assessments, such as timed walks, lack the sensitivity to detect subtle changes in gait mechanics. DMOs, derived from wearable sensors, may provide sensitive assessments of mobility impairment in clinical and real-world settings for pwMS.

The mean age of this cohort (n=10) was 55 years, 60% were female, and median EDSS score was 3.5 (2.5 - 6.5). Median EDSS of the entire cohort (n=30) was 5.0. Real-world increased average cadence was strongly and significantly correlated with longer 2MTW length during the research visit (r=0.69, p=0.04). Real-world 90^th percentile cadence during walking bouts lasting over 30 seconds was strongly and significantly correlated with 2MTW increased average gait speed (p=0.73, p=0.04), increased average cadence (p=0.88, p=0.004), decreased average gait cycle duration (p=-0.89, p=0.003), and decreased average step duration (r=-0.89, p=0.003). There were significant associations between real-world average speed and MS Impact Scale (0.65, p=0.4).

Using sensors to measure real-world DMO could provide an accurate assessment of a participant’s average level of functioning across many ability levels.