Literature DB >> 33382439

Characterization of gait variability in multiple system atrophy and Parkinson's disease.

Victoria Sidoroff1, Cecilia Raccagni2,3, Christine Kaindlstorfer1, Sabine Eschlboeck1, Alessandra Fanciulli1, Roberta Granata1, Björn Eskofier4, Klaus Seppi1, Werner Poewe1, Johann Willeit1, Stefan Kiechl1, Philipp Mahlknecht1, Heike Stockner1, Kathrin Marini1, Oliver Schorr1, Gregorio Rungger5, Jochen Klucken6,7, Gregor Wenning1, Heiko Gaßner6.   

Abstract

BACKGROUND: Gait impairment is a pivotal feature of parkinsonian syndromes and increased gait variability is associated with postural instability and a higher risk of falls.
OBJECTIVES: We compared gait variability at different walking velocities between and within groups of patients with Parkinson-variant multiple system atrophy, idiopathic Parkinson's disease, and a control group of older adults.
METHODS: Gait metrics were recorded in 11 multiple system atrophy, 12 Parkinson's disease patients, and 18 controls using sensor-based gait analysis. Gait variability was analyzed for stride, swing and stance time, stride length and gait velocity. Values were compared between and within the groups at self-paced comfortable, fast and slow walking speed.
RESULTS: Multiple system atrophy patients displayed higher gait variability except for stride time at all velocities compared with controls, while Parkinson's patients did not. Compared with Parkinson's disease, multiple system atrophy patients displayed higher variability of swing time, stride length and gait velocity at comfortable speed and at slow speed for swing and stance time, stride length and gait velocity (all P < 0.05). Stride time variability was significantly higher in slow compared to comfortable walking in patients with multiple system atrophy (P = 0.014). Variability parameters significantly correlated with the postural instability/gait difficulty subscore in both disease groups. Conversely, significant correlations between variability parameters and MDS-UPDRS III score was observed only for multiple system atrophy patients.
CONCLUSION: This analysis suggests that gait variability parameters reflect the major axial impairment and postural instability displayed by multiple system atrophy patients compared with Parkinson's disease patients and controls.

Entities:  

Keywords:  Gait analysis; Gait variability; Multiple system atrophy; Parkinson’s disease; Wearable sensors

Year:  2020        PMID: 33382439     DOI: 10.1007/s00415-020-10355-y

Source DB:  PubMed          Journal:  J Neurol        ISSN: 0340-5354            Impact factor:   4.849


  26 in total

1.  Gait variability and basal ganglia disorders: stride-to-stride variations of gait cycle timing in Parkinson's disease and Huntington's disease.

Authors:  J M Hausdorff; M E Cudkowicz; R Firtion; J Y Wei; A L Goldberger
Journal:  Mov Disord       Date:  1998-05       Impact factor: 10.338

2.  Kinematic measures for assessing gait stability in elderly individuals: a systematic review.

Authors:  D Hamacher; N B Singh; J H Van Dieën; M O Heller; W R Taylor
Journal:  J R Soc Interface       Date:  2011-08-31       Impact factor: 4.118

3.  Early distinction of Parkinson-variant multiple system atrophy from Parkinson's disease.

Authors:  Alessandra Fanciulli; Georg Goebel; Giulia Lazzeri; Christoph Scherfler; Elke R Gizewski; Roberta Granata; Gusztav Kiss; Stefano Strano; Carlo Colosimo; Francesco E Pontieri; Horacio Kaufmann; Klaus Seppi; Werner Poewe; Gregor K Wenning
Journal:  Mov Disord       Date:  2019-02-20       Impact factor: 10.338

4.  Meaningful change in measures of gait variability in older adults.

Authors:  Jennifer S Brach; Subashan Perera; Stephanie Studenski; Mindy Katz; Charles Hall; Joe Verghese
Journal:  Gait Posture       Date:  2009-11-03       Impact factor: 2.840

5.  Physiotherapy improves motor function in patients with the Parkinson variant of multiple system atrophy: A prospective trial.

Authors:  C Raccagni; G Goebel; H Gaßner; Roberta Granata; Jean-Pierre Ndayisaba; Barbara Seebacher; Gudrun Schoenherr; Jakob Mitterhuber; Pascalle Hendriks; Christine Kaindlstorfer; Sabine Eschlboeck; Alessandra Fanciulli; Florian Krismer; Klaus Seppi; Werner Poewe; Bastiaan R Bloem; J Klucken; Gregor K Wenning
Journal:  Parkinsonism Relat Disord       Date:  2019-09-24       Impact factor: 4.891

6.  Unbiased and mobile gait analysis detects motor impairment in Parkinson's disease.

Authors:  Jochen Klucken; Jens Barth; Patrick Kugler; Johannes Schlachetzki; Thore Henze; Franz Marxreiter; Zacharias Kohl; Ralph Steidl; Joachim Hornegger; Bjoern Eskofier; Juergen Winkler
Journal:  PLoS One       Date:  2013-02-19       Impact factor: 3.240

7.  Gait variability: methods, modeling and meaning.

Authors:  Jeffrey M Hausdorff
Journal:  J Neuroeng Rehabil       Date:  2005-07-20       Impact factor: 4.262

8.  Sensor-based gait analysis in atypical parkinsonian disorders.

Authors:  Cecilia Raccagni; Heiko Gaßner; Sabine Eschlboeck; Sylvia Boesch; Florian Krismer; Klaus Seppi; Werner Poewe; Bjoern M Eskofier; Juergen Winkler; Gregor Wenning; Jochen Klucken
Journal:  Brain Behav       Date:  2018-05-07       Impact factor: 2.708

9.  The Diagnostic Scope of Sensor-Based Gait Analysis in Atypical Parkinsonism: Further Observations.

Authors:  Heiko Gaßner; Cecilia Raccagni; Bjoern M Eskofier; Jochen Klucken; Gregor K Wenning
Journal:  Front Neurol       Date:  2019-01-22       Impact factor: 4.003

10.  Wearable sensors objectively measure gait parameters in Parkinson's disease.

Authors:  Johannes C M Schlachetzki; Jens Barth; Franz Marxreiter; Julia Gossler; Zacharias Kohl; Samuel Reinfelder; Heiko Gassner; Kamiar Aminian; Bjoern M Eskofier; Jürgen Winkler; Jochen Klucken
Journal:  PLoS One       Date:  2017-10-11       Impact factor: 3.240

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