Literature DB >> 31377382

Clinical effects of robot-assisted gait training and treadmill training for Parkinson's disease. A randomized controlled trial.

Marianna Capecci1, Sanaz Pournajaf2, Daniele Galafate2, Patrizio Sale3, Domenica Le Pera2, Michela Goffredo2, Maria Francesca De Pandis4, Elisa Andrenelli5, Mauro Pennacchioni5, Maria Gabriella Ceravolo5, Marco Franceschini6.   

Abstract

BACKGROUND: Although gait disorders strongly contribute to perceived disability in people with Parkinson's disease, clinical trials have failed to identify which task-oriented gait training method can provide the best benefit. Freezing of gait remains one of the least investigated and most troublesome symptoms.
OBJECTIVE: We aimed to compare the effects of robot-assisted gait training and treadmill training on endurance and gait capacity in people with Parkinson disease; the secondary aim was to compare the effect of the treatments in people with freezing and/or severe gait disability and assess changes in overall disease-related disability and quality of life.
METHODS: Outpatients with Parkinson disease (Hoehn and Yahr stage≥2) were randomly assigned to receive 20 sessions of 45-min gait training assisted by an end-effector robotic device (G-EO System) or treadmill training. Outcome assessments were the 6-min walk test, Timed Up and Go test, Freezing of Gait Questionnaire, Unified Parkinson's Disease Rating Scales and Parkinson's Disease Quality of Life Questionnaire-39 administered before (T0) and after treatment (T1).
RESULTS: We included 96 individuals with Parkinson disease: 48 with robot-assisted gait training and 48 treadmill training. Both groups showed significant improvement in all outcomes. As compared with baseline, with robot-assisted gait training and treadmill training, endurance and gait capacity were enhanced by 18% and 12%, respectively, and motor symptoms and quality of life were improved by 17% and 15%. The maximum advantage was observed with the Freezing of Gait Questionnaire score, which decreased by 20% after either treatment. On post-hoc analysis, dependent walkers benefited more than independent walkers from any gait training, whereas freezers gained more from robot-assisted than treadmill training in terms of freezing reduction.
CONCLUSIONS: Repetitive intensive gait training is an effective treatment for people with Parkinson disease and can increase endurance and gait velocity, especially for those with severe walking disability. Advantages are greater with robot-assisted gait training than treadmill training for individuals with freezing of gait - related disability.
Copyright © 2019 Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  Freezing; Gait; Parkinson disease; Rehabilitation; Robotics

Mesh:

Year:  2019        PMID: 31377382     DOI: 10.1016/j.rehab.2019.06.016

Source DB:  PubMed          Journal:  Ann Phys Rehabil Med        ISSN: 1877-0657


  12 in total

1.  Managing freezing of gait in Parkinson's disease: a systematic review and network meta-analysis.

Authors:  Jojo Yan Yan Kwok; Robert Smith; Lily Man Lee Chan; Leo Chun Chung Lam; Daniel Yee Tak Fong; Edmond Pui Hang Choi; Kris Yuet Wan Lok; Jung Jae Lee; Man Auyeung; Bastiaan R Bloem
Journal:  J Neurol       Date:  2022-03-04       Impact factor: 6.682

2.  Physical Therapist Management of Parkinson Disease: A Clinical Practice Guideline From the American Physical Therapy Association.

Authors:  Jacqueline A Osborne; Rachel Botkin; Cristina Colon-Semenza; Tamara R DeAngelis; Oscar G Gallardo; Heidi Kosakowski; Justin Martello; Sujata Pradhan; Miriam Rafferty; Janet L Readinger; Abigail L Whitt; Terry D Ellis
Journal:  Phys Ther       Date:  2022-04-01

3.  Improving Upper Extremity Bradykinesia in Parkinson's Disease: A Randomized Clinical Trial on the Use of Gravity-Supporting Exoskeletons.

Authors:  Loredana Raciti; Loris Pignolo; Valentina Perini; Massimo Pullia; Bruno Porcari; Desiree Latella; Marco Isgrò; Antonino Naro; Rocco Salvatore Calabrò
Journal:  J Clin Med       Date:  2022-05-01       Impact factor: 4.964

4.  Biofeedback Core Exercise Using Hybrid Assistive Limb for Physical Frailty Patients With or Without Parkinson's Disease.

Authors:  Naoya Kotani; Takashi Morishita; Aya Yatsugi; Shinsuke Fujioka; Satoshi Kamada; Etsuji Shiota; Yoshio Tsuboi; Tooru Inoue
Journal:  Front Neurol       Date:  2020-04-09       Impact factor: 4.003

5.  Rehabilitation of older people with Parkinson's disease: an innovative protocol for RCT study to evaluate the potential of robotic-based technologies.

Authors:  Roberta Bevilacqua; Elvira Maranesi; Mirko Di Rosa; Riccardo Luzi; Elisa Casoni; Nadia Rinaldi; Renato Baldoni; Fabrizia Lattanzio; Valentina Di Donna; Giuseppe Pelliccioni; Giovanni Renato Riccardi
Journal:  BMC Neurol       Date:  2020-05-13       Impact factor: 2.474

6.  Gait Recovery with an Overground Powered Exoskeleton: A Randomized Controlled Trial on Subacute Stroke Subjects.

Authors:  Franco Molteni; Eleonora Guanziroli; Michela Goffredo; Rocco Salvatore Calabrò; Sanaz Pournajaf; Marina Gaffuri; Giulio Gasperini; Serena Filoni; Silvano Baratta; Daniele Galafate; Domenica Le Pera; Placido Bramanti; Marco Franceschini
Journal:  Brain Sci       Date:  2021-01-14

7.  Identification of the Exercise Load When Using a Balance Exercise Assist Robot.

Authors:  Naoki Sasanuma; Koichiro Sota; Yuki Uchiyama; Norihiko Kodama; Kazuhisa Domen
Journal:  Prog Rehabil Med       Date:  2021-12-25

8.  Gait training with a wearable curara® robot for cerebellar ataxia: a single-arm study.

Authors:  Akira Matsushima; Yoichi Maruyama; Noriaki Mizukami; Mikio Tetsuya; Minoru Hashimoto; Kunihiro Yoshida
Journal:  Biomed Eng Online       Date:  2021-09-08       Impact factor: 2.819

9.  Wearable Solutions for Patients with Parkinson's Disease and Neurocognitive Disorder: A Systematic Review.

Authors:  Asma Channa; Nirvana Popescu; Vlad Ciobanu
Journal:  Sensors (Basel)       Date:  2020-05-09       Impact factor: 3.576

Review 10.  Artificial intelligence applications and robotic systems in Parkinson's disease (Review).

Authors:  Lacramioara Perju-Dumbrava; Maria Barsan; Daniel Corneliu Leucuta; Luminita C Popa; Cristina Pop; Nicoleta Tohanean; Stefan L Popa
Journal:  Exp Ther Med       Date:  2021-12-17       Impact factor: 2.447

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