Can Digital Mobility Assessment Enhance the Clinical Assessment of Disease Severity in Parkinson’s Disease?

Author:

Kirk Cameron1,Zia Ur Rehman Rana12,Galna Brook3,Alcock Lisa14,Ranciati Saverio5,Palmerini Luca67,Garcia-Aymerich Judith8910,Hansen Clint11,Schaeffer Eva11,Berg Daniela1112,Maetzler Walter11,Rochester Lynn1413,Del Din Silvia14,Yarnall Alison J.1413

Affiliation:

1. Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK

2. Janssen Research & Development, High Wycombe, UK

3. School of Allied Health (Exercise Science) / Health Futures Institute, Murdoch University, Perth, Australia

4. National Institute for Healthand Care Research (NIHR) Newcastle Biomedical Research Centre (BRC), Newcastle upon Tyne, UK

5. Department of Statistical Science “Paolo Fortunati”, University of Bologna, Bologna, Italy

6. Department of Electrical, Electronic and Information Engineering, “Guglielmo Marconi”, University of Bologna, Bologna, Italy

7. Health Sciences and Technologies—Interdepartmental Center for Industrial Research (CIRI-SDV), University of Bologna, Bologna, Italy

8. ISGlobal, Barcelona, Spain

9. University Pompeu Fabra, Barcelona, Spain

10. CIBER Epidemiologica y Salud Publica (CIBERESP), Barcelona, Spain

11. Department of Neurology, Christian-Albrecht-University Kiel, Kiel, Germany

12. German Centre of Neurodegenerative Diseases (DZNE), Tübingen, Germany

13. Newcastle upon Tyne Hospitals NHS Foundations Trust, Newcastle upon Tyne, UK

Abstract

Background: Real-world walking speed (RWS) measured using wearable devices has the potential to complement the Movement Disorder Society-Unified Parkinson’s Disease Rating Scale (MDS-UPDRS III) for motor assessment in Parkinson’s disease (PD). Objective: Explore cross-sectional and longitudinal differences in RWS between PD and older adults (OAs), and whether RWS was related to motor disease severity cross-sectionally, and if MDS-UPDRS III was related to RWS, longitudinally. Methods: 88 PD and 111 OA participants from ICICLE-GAIT (UK) were included. RWS was evaluated using an accelerometer at four time points. RWS was aggregated within walking bout (WB) duration thresholds. Between-group-comparisons in RWS between PD and OAs were conducted cross-sectionally, and longitudinally with mixed effects models (MEMs). Cross-sectional association between RWS and MDS-UPDRS III was explored using linear regression, and longitudinal association explored with MEMs. Results: RWS was significantly lower in PD (1.04 m/s) in comparison to OAs (1.10 m/s) cross-sectionally. RWS significantly decreased over time for both cohorts and decline was more rapid in PD by 0.02 m/s per year. Significant negative relationship between RWS and the MDS-UPDRS III only existed at a specific WB threshold (30 to 60 s, β= – 3.94 points, p = 0.047). MDS-UPDRS III increased significantly by 1.84 points per year, which was not related to change in RWS. Conclusion: Digital mobility assessment of gait may add unique information to quantify disease progression remotely, but further validation in research and clinical settings is needed.

Publisher

IOS Press

Subject

Cellular and Molecular Neuroscience,Neurology (clinical)

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