A wearable device perspective on the standard definitions of disability progression in multiple sclerosis

Author:

Dalla Costa Gloria1ORCID,Nos Carlos2,Zabalza Ana2ORCID,Buron Mathias3ORCID,Magyari Melinda3,Sellebjerg Finn3,Guerrero Ana Isabel2,Roselli Lucia1,La Porta Maria Libera1,Martinis Matteo1,Bailon Raquel45,Kontaxis Spyridon45,Laporta Estela45,Garcia Esther56,Pokorny Florian B78,Schuller Björn W79,Folarin Amos1011,Stewart Callum1011,Leocani Letizia1ORCID,Vairavan Srinivasan12,Cummins Nicholas10,Dobson Richard10,Hotopf Matthew13,Narayan Vaibhav12,Montalban Xavier2,Sorensen Per Soelberg3,Comi Giancarlo14

Affiliation:

1. Vita-Salute San Raffaele University, Milan, Italy

2. Servei de Neurologia-Neuroimmunologia, Centre d’Esclerosi Múltiple de Catalunya (Cemcat), Vall d’Hebron Institut de Recerca, Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain

3. Department of Neurology, Danish Multiple Sclerosis Center, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark

4. Biomedical Signal Interpretation & Computational Simulation (BSICoS) Group, Aragon Institute of Engineering Research (I3A), IIS Aragon, University of Zaragoza, Zaragoza, Spain

5. Centro de Investigacion Biomedica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Madrid, Spain

6. Department of Microelectronics and Electronic Systems, Autonomous University of Barcelona, Barcelona, Spain

7. Chair of Embedded Intelligence for Healthcare and Wellbeing, University of Augsburg, Augsburg, Germany

8. Division of Phoniatrics, Medical University of Graz, Graz, Austria

9. Group on Language, Audio & Music, Imperial College London, London, UK

10. Department of Biostatistics & Health informatics, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK

11. Institute of Health Informatics, University College London, London, UK

12. Janssen Research and Development LLC, Janssen Global Services, LLC, Titusville, NJ, USA

13. Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK

14. Vita-Salute San Raffaele University, Milan, Italy/Multiple Sclerosis Center, Casa di Cura Igea, Milan, Italy

Abstract

Introduction: Multiple sclerosis (MS) is a leading cause of disability among young adults, but standard clinical scales may not accurately detect subtle changes in disability occurring between visits. This study aims to explore whether wearable device data provides more granular and objective measures of disability progression in MS. Methods: Remote Assessment of Disease and Relapse in Central Nervous System Disorders (RADAR-CNS) is a longitudinal multicenter observational study in which 400 MS patients have been recruited since June 2018 and prospectively followed up for 24 months. Monitoring of patients included standard clinical visits with assessment of disability through use of the Expanded Disability Status Scale (EDSS), 6-minute walking test (6MWT) and timed 25-foot walk (T25FW), as well as remote monitoring through the use of a Fitbit. Results: Among the 306 patients who completed the study (mean age, 45.6 years; females 67%), confirmed disability progression defined by the EDSS was observed in 74 patients, who had approximately 1392 fewer daily steps than patients without disability progression. However, the decrease in the number of steps experienced over time by patients with EDSS progression and stable patients was not significantly different. Similar results were obtained with disability progression defined by the 6MWT and the T25FW. Conclusion: The use of continuous activity monitoring holds great promise as a sensitive and ecologically valid measure of disability progression in MS.

Publisher

SAGE Publications

Subject

Neurology (clinical),Neurology

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