Abstract
Objective
To determine the concordance and statistical precision in gait velocity in people with multiple sclerosis (pwMS), measured with FeetMe® (insoles with pressure and motion sensors) compared with GAITRite® (classic reference system of gait analysis) in the timed 25-Feet Walk test (T25WT).
Methods
This observational, cross-sectional, prospective, single center study was conducted between September-2018 and April-2019 in pwMS aged 18–55 years, with Expanded Disability Status Scale (EDSS) 0–6.5 and relapse free ≥30 days at baseline. Primary endpoint was gait velocity. Secondary endpoints were ambulation time, cadence, and stride length assessment, while the correlation between gait variables and the clinical parameters of MS subjects was assessed as an exploratory endpoint.
Results
A total of 207 MS subjects were enrolled, of whom, 205 were considered in primary analysis. Most subjects were women (66.8%) and had relapsing-remitting MS (RRMS) (82.9%), with overall mean (standard deviation [SD]) age of 41.5 (8.0) year and EDSS 3.1 (2.0). There was a statistically significant (p<0.0001) and strong agreement (intra-class correlation coefficient (ICC) >0.830) in gait velocity, ambulation time and cadence assessment between FeetMe® and GAITRite®.
Conclusions
Agreement between devices was strong (ICC≥0.800). FeetMe® is the first validated wearable medical device that allows gait monitoring in MS subjects, being potentially able to assess disease activity, progression, and treatment response.
Publisher
Public Library of Science (PLoS)
Reference36 articles.
1. Gait abnormalities in multiple sclerosis: pathogenesis, evaluation, and advances in treatment;MH Cameron;Current neurology and neuroscience reports,2011
2. Global, regional, and national burden of multiple sclerosis 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016;GBD 2016 Multiple Sclerosis Collaborators;The Lancet Neurology,2019
3. Epidemiological study of multiple sclerosis in La Rioja;M Bártulos Iglesias;Neurologia,2015
4. Moreno-Torres I, Sabín-Muñoz J, García-Merino A. Chapter 1—Multiple Sclerosis: Epidemiology, Genetics, Symptoms, and Unmet Needs Available from: https://pubs.rsc.org/en/content/chapterhtml/2019/bk9781788014502-00001?isbn=978-1-78801-450-2.2019.
5. Measures of physical functioning predict self-reported performance in self-care, mobility, and domestic life in ambulatory persons with multiple sclerosis;J Paltamaa;Archives of physical medicine and rehabilitation,2007
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