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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Main Authors: Markus A. Hobert, Susanne Nussbaum, Tanja Heger, Daniela Berg, Walter Maetzler, Sebastian Heinzel
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-02-01
Series:Frontiers in Aging Neuroscience
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fnagi.2019.00022/full
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spelling 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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