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Many distinct features can be extracted, reflecting multiple mobility domains. However, it is unclear which digital measures are related to PD severity and are sensitive to disease progression.<\/jats:p><\/jats:sec><jats:sec><jats:title>Objectives<\/jats:title><jats:p>The aim was to identify real\u2010world mobility measures that reflect PD severity and show discriminant ability and sensitivity to disease progression, compared to the Movement Disorder Society\u2010Unified Parkinson's Disease Rating Scale (MDS\u2010UPDRS) scale.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Multicenter real\u2010world continuous (24\/7) digital mobility data from 587 persons with PD and 68 matched healthy controls were collected using an accelerometer adhered to the lower back. Machine learning feature selection and regression algorithms evaluated associations of the digital measures using the MDS\u2010UPDRS (I\u2013III). Binary logistic regression assessed discriminatory value using controls, and longitudinal observational data from a subgroup (n\u2009=\u200933) evaluated sensitivity to change over time.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Digital measures were only moderately correlated with the MDS\u2010UPDRS (part II\u2010r\u2009=\u20090.60 and parts I and III\u2010r\u2009=\u20090.50). Most associated measures reflected activity quantity and distribution patterns. A model with 14 digital measures accurately distinguished recently diagnosed persons with PD from healthy controls (81.1%, area under the curve: 0.87); digital measures showed larger effect sizes (Cohen's d: [0.19\u20130.66]), for change over time than any of the MDS\u2010UPDRS parts (Cohen's d: [0.04\u20130.12]).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Real\u2010world mobility measures are moderately associated with clinical assessments, suggesting that they capture different aspects of motor capacity and function. Digital mobility measures are sensitive to early\u2010stage disease and to disease progression, to a larger degree than conventional clinical assessments, demonstrating their utility, primarily for clinical trials but ultimately also for clinical care. \u00a9 2023 The Authors. <jats:italic>Movement Disorders<\/jats:italic> published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.<\/jats:p><\/jats:sec>","DOI":"10.1002\/mds.29689","type":"journal-article","created":{"date-parts":[[2023,12,28]],"date-time":"2023-12-28T01:19:57Z","timestamp":1703726397000},"page":"328-338","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":49,"title":["Digital Mobility Measures: A Window into Real\u2010World Severity and Progression of Parkinson's Disease"],"prefix":"10.1002","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1520-2292","authenticated-orcid":false,"given":"Anat","family":"Mirelman","sequence":"first","affiliation":[{"name":"Laboratory for Early Markers of Neurodegeneration (LEMON) Center for the Study of Movement, Cognition and Mobility, Neurological Institute, Tel Aviv Medical Center  Tel Aviv Israel"},{"name":"Faculty of Medicine and Sagol School of Neuroscience, Tel Aviv University  Tel Aviv Israel"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jana","family":"Volkov","sequence":"additional","affiliation":[{"name":"Laboratory for Early Markers of Neurodegeneration (LEMON) Center for the Study of Movement, Cognition and Mobility, Neurological Institute, Tel Aviv Medical Center  Tel Aviv Israel"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amit","family":"Salomon","sequence":"additional","affiliation":[{"name":"Laboratory for Early Markers of Neurodegeneration 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University  Newcastle United Kingdom"},{"name":"National Institute for Health and Care Research (NIHR) Newcastle Biomedical Research Centre (BRC), Newcastle University and The Newcastle upon Tyne Hospitals NHS Foundation Trust  Newcastle upon Tyne United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Silvia","family":"Del Din","sequence":"additional","affiliation":[{"name":"Translational and Clinical Research Institute, Faculty of Medical Sciences Newcastle University  Newcastle United Kingdom"},{"name":"National Institute for Health and Care Research (NIHR) Newcastle Biomedical Research Centre (BRC), Newcastle University and The Newcastle upon Tyne Hospitals NHS Foundation Trust  Newcastle upon Tyne United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6286-1509","authenticated-orcid":false,"given":"Laura","family":"Avanzino","sequence":"additional","affiliation":[{"name":"Department of Neuroscience, 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