Progressive Gait Deficits in Parkinson’s Disease: A Wearable-Based Biannual 5-Year Prospective Study
Background: Gait changes occur during all Parkinson’s disease (PD) stages and wearable sensor-derived gait parameters may quantify PD progression. However, key aspects that may qualify quantitative gait parameters as progression markers in PD remain elusive.Objectives: Longitudinal changes in gait p...
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doaj-84d067e09c54499e8a2ccf1ac2e2e2a12020-11-25T00:30:37ZengFrontiers Media S.A.Frontiers in Aging Neuroscience1663-43652019-02-011110.3389/fnagi.2019.00022433252Progressive Gait Deficits in Parkinson’s Disease: A Wearable-Based Biannual 5-Year Prospective StudyMarkus A. Hobert0Markus A. Hobert1Markus A. Hobert2Susanne Nussbaum3Susanne Nussbaum4Tanja Heger5Tanja Heger6Daniela Berg7Daniela Berg8Daniela Berg9Walter Maetzler10Walter Maetzler11Walter Maetzler12Sebastian Heinzel13Department of Neurology, Christian-Albrechts-University zu Kiel, Kiel, GermanyDepartment of Neurodegenerative, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, GermanyGerman Center for Neurodegenerative Diseases (DZNE), Tübingen, GermanyDepartment of Neurodegenerative, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, GermanyGerman Center for Neurodegenerative Diseases (DZNE), Tübingen, GermanyDepartment of Neurodegenerative, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, GermanyGerman Center for Neurodegenerative Diseases (DZNE), Tübingen, GermanyDepartment of Neurology, Christian-Albrechts-University zu Kiel, Kiel, GermanyDepartment of Neurodegenerative, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, GermanyGerman Center for Neurodegenerative Diseases (DZNE), Tübingen, GermanyDepartment of Neurology, Christian-Albrechts-University zu Kiel, Kiel, GermanyDepartment of Neurodegenerative, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, GermanyGerman Center for Neurodegenerative Diseases (DZNE), Tübingen, GermanyDepartment of Neurology, Christian-Albrechts-University zu Kiel, Kiel, GermanyBackground: Gait changes occur during all Parkinson’s disease (PD) stages and wearable sensor-derived gait parameters may quantify PD progression. However, key aspects that may qualify quantitative gait parameters as progression markers in PD remain elusive.Objectives: Longitudinal changes in gait parameters from a lower-back sensor under convenient and challenging walking conditions in early- and mid-stage PD patients (E-PD, M-PD) compared to controls were investigated.Methods: Normal- and fast-pace parameters (step: number, time, velocity, variability) were assessed every 6 months for up to 5 years in 22 E-PD (<4 years baseline disease duration), 18 M-PD (>5 years) and 24 controls. Parameter trajectories and associations with MDS-UPDRS-III were tested using generalized estimating equations.Results: Normal-pace step number (annual change in E-PD: 2.1%, Time∗Group: p = 0.001) and step time variability (8.5%, p < 0.05) longitudinally increased in E-PD compared to controls (0.7%, -12%). For fast pace, no significant progression differences between groups were observed. Longitudinal changes in M-PD did not differ significantly from controls. MDS-UPDRS-III was largely associated with normal-pace parameters in M-PD.Conclusion: Wearables can quantify progressive gait deficits indicated by increasing step number and step time variability in E-PD. In M-PD, and for fast-pace, gait parameters possess limited potential as PD progression markers.https://www.frontiersin.org/article/10.3389/fnagi.2019.00022/fullParkinson’s diseaseprogression markergaitwearable sensorprospective study |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Markus A. Hobert Markus A. Hobert Markus A. Hobert Susanne Nussbaum Susanne Nussbaum Tanja Heger Tanja Heger Daniela Berg Daniela Berg Daniela Berg Walter Maetzler Walter Maetzler Walter Maetzler Sebastian Heinzel |
spellingShingle |
Markus A. Hobert Markus A. Hobert Markus A. Hobert Susanne Nussbaum Susanne Nussbaum Tanja Heger Tanja Heger Daniela Berg Daniela Berg Daniela Berg Walter Maetzler Walter Maetzler Walter Maetzler Sebastian Heinzel Progressive Gait Deficits in Parkinson’s Disease: A Wearable-Based Biannual 5-Year Prospective Study Frontiers in Aging Neuroscience Parkinson’s disease progression marker gait wearable sensor prospective study |
author_facet |
Markus A. Hobert Markus A. Hobert Markus A. Hobert Susanne Nussbaum Susanne Nussbaum Tanja Heger Tanja Heger Daniela Berg Daniela Berg Daniela Berg Walter Maetzler Walter Maetzler Walter Maetzler Sebastian Heinzel |
author_sort |
Markus A. Hobert |
title |
Progressive Gait Deficits in Parkinson’s Disease: A Wearable-Based Biannual 5-Year Prospective Study |
title_short |
Progressive Gait Deficits in Parkinson’s Disease: A Wearable-Based Biannual 5-Year Prospective Study |
title_full |
Progressive Gait Deficits in Parkinson’s Disease: A Wearable-Based Biannual 5-Year Prospective Study |
title_fullStr |
Progressive Gait Deficits in Parkinson’s Disease: A Wearable-Based Biannual 5-Year Prospective Study |
title_full_unstemmed |
Progressive Gait Deficits in Parkinson’s Disease: A Wearable-Based Biannual 5-Year Prospective Study |
title_sort |
progressive gait deficits in parkinson’s disease: a wearable-based biannual 5-year prospective study |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Aging Neuroscience |
issn |
1663-4365 |
publishDate |
2019-02-01 |
description |
Background: Gait changes occur during all Parkinson’s disease (PD) stages and wearable sensor-derived gait parameters may quantify PD progression. However, key aspects that may qualify quantitative gait parameters as progression markers in PD remain elusive.Objectives: Longitudinal changes in gait parameters from a lower-back sensor under convenient and challenging walking conditions in early- and mid-stage PD patients (E-PD, M-PD) compared to controls were investigated.Methods: Normal- and fast-pace parameters (step: number, time, velocity, variability) were assessed every 6 months for up to 5 years in 22 E-PD (<4 years baseline disease duration), 18 M-PD (>5 years) and 24 controls. Parameter trajectories and associations with MDS-UPDRS-III were tested using generalized estimating equations.Results: Normal-pace step number (annual change in E-PD: 2.1%, Time∗Group: p = 0.001) and step time variability (8.5%, p < 0.05) longitudinally increased in E-PD compared to controls (0.7%, -12%). For fast pace, no significant progression differences between groups were observed. Longitudinal changes in M-PD did not differ significantly from controls. MDS-UPDRS-III was largely associated with normal-pace parameters in M-PD.Conclusion: Wearables can quantify progressive gait deficits indicated by increasing step number and step time variability in E-PD. In M-PD, and for fast-pace, gait parameters possess limited potential as PD progression markers. |
topic |
Parkinson’s disease progression marker gait wearable sensor prospective study |
url |
https://www.frontiersin.org/article/10.3389/fnagi.2019.00022/full |
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