Can digital mobility assessment enhance the clinical assessment of disease severity in Parkinson's disease?

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• dc.contributor.author Kirk, Cameron
• dc.contributor.author Rehman, Rana Zia Ur
• dc.contributor.author Galna, Brook
• dc.contributor.author Alcock, Lisa
• dc.contributor.author Ranciati, Saverio
• dc.contributor.author Palmerini, Luca
• dc.contributor.author García Aymerich, Judith
• dc.contributor.author Hansen, Clint
• dc.contributor.author Schaeffer, Eva
• dc.contributor.author Berg, Daniela
• dc.contributor.author Maetzler, Walter
• dc.contributor.author Rochester, Lynn
• dc.contributor.author Del Din, Silvia
• dc.contributor.author Yarnall, Alison J.
• dc.date.accessioned 2023-12-11T06:37:20Z
• dc.date.available 2023-12-11T06:37:20Z
• dc.date.issued 2023
• dc.description.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.
• dc.description.sponsorship This work is also supported by the Innovative Medicines Initiative 2 Joint Undertaking (IMI2 JU) project Mobilise-D that has received funding from the Innovative Medicines Initiative 2 Joint Undertaking (JU) under grant agreement No. 820820. This JU receives support from the European Union’s Horizon 2020 research and innovation program and the European Federation of Pharmaceutical Industries and Associations (EFPIA). Content in this publication reflects the authors’ view and neither IMI nor the European Union, EFPIA, or any Associated Partners are responsible for any use that may be made of the information contained herein.
• dc.format.mimetype application/pdf
• dc.identifier.citation Kirk C, Zia Ur Rehman R, Galna B, Alcock L, Ranciati S, Palmerini L, Garcia-Aymerich J, Hansen C, Schaeffer E, Berg D, Maetzler W, Rochester L, Del Din S, Yarnall AJ. Can digital mobility assessment enhance the clinical assessment of disease severity in Parkinson's disease?. J Parkinsons Dis. 2023;13(6):999-1009. DOI: 10.3233/JPD-230044
• dc.identifier.doi http://dx.doi.org/10.3233/JPD-230044
• dc.identifier.issn 1877-7171
• dc.identifier.uri http://hdl.handle.net/10230/58469
• dc.language.iso eng
• dc.publisher IOS Press
• dc.relation.ispartof J Parkinsons Dis. 2023;13(6):999-1009
• dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/820820
• dc.rights © 2023 – The authors. Published by IOS Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (CC BY-NC 4.0) https://creativecommons.org/licenses/by-nc/4.0/.
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri http://creativecommons.org/licenses/by-nc/4.0/
• dc.subject.keyword Parkinson's disease
• dc.subject.keyword Real-world gait analysis
• dc.subject.keyword Clinical importance
• dc.subject.keyword Digital technology
• dc.subject.keyword Motor severity
• dc.subject.keyword Walking speed
• dc.title Can digital mobility assessment enhance the clinical assessment of disease severity in Parkinson's disease?
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion