Journal Article

DZNE-2020-06811

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Progressive Gait Deficits in Parkinson's Disease: A Wearable-Based Biannual 5-Year Prospective Study.

Hobert, M. A. (First author)DZNE* ; Nussbaum, S.DZNE* ; Heger, T.DZNE* ; Berg, D.DZNE* ; Maetzler, W.DZNE* ; Heinzel, S. (Corresponding author)

2019
Frontiers Research Foundation Lausanne

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Please use a persistent id in citations: doi:10.3389/fnagi.2019.00022

Abstract: 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.

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Contributing Institute(s):

1. Ext Universitätsklinikum Tübingen (Ext UKT)
2. Parkinson Genetics (AG Gasser)
3. Tübingen Pre 2020 (Tübingen Pre 2020)
4. Parkinson's Disease Genetics AG Berg (AG Berg)
5. Functional Neurogeriatrics (AG Maetzler)

Research Program(s):

1. 344 - Clinical and Health Care Research (POF3-344) (POF3-344)
2. 345 - Population Studies and Genetics (POF3-345) (POF3-345)

Appears in the scientific report 2019

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Database coverage:
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