Literature DB >> 29600688

Early robot-assisted gait retraining in non-ambulatory patients with stroke: a single blind randomized controlled trial.

Andreas Mayr1, Ellen Quirbach2, Alessandro Picelli3,4, Markus Kofler2, Nicola Smania3,4, Leopold Saltuari2,5.   

Abstract

BACKGROUND: Restoration of walking function is a primary concern of neurorehabilitation with respect to the aspired social and vocational reintegration. To date, the best practice for improving gait early after stroke is still object of debate. On one hand, repetitive task-specific approaches with higher intensities of walking have been observed to result in greater improvements of gait after stroke. Conversely there is some evidence that conventional gait training would be more effective for facilitating walking ability after stroke. AIM: To compare the effects of an early treatment protocol of add-on robot-assisted gait training with add-on conventional overground physiotherapy for improving locomotion in non-ambulatory adult stroke patients.
DESIGN: Single-blind randomized controlled trial.
SETTING: Neurorehabilitation hospital. POPULATION: Seventy-four subacute patients with first-ever ischemic stroke.
METHODS: The patients were randomized into two groups. The training program consisted of forty, 2-hour sessions (including 45 minutes basic training, 45 minutes add-on training plus rest periods), 5 days a week, for 8 consecutive weeks. Patients allocated to the add-on robot-assisted gait training were treated by means of the Lokomat. Patients allocated to the add-on conventional overground gait training aimed at improving postural control during gait, body weight transfer, stability during the stance phase, free swing phase, adequate heel contact and gait pattern. Primary outcome was the modified Emory Functional Ambulation Profile. Secondary outcomes were the Rivermead Motor Index, the Mobility Milestones and the Hochzirl Walking Aids Profile.
RESULTS: No significant difference was observed between groups with regards to age (P=0.661), time from stroke onset (P=0.413) and the primary outcome (P=0.854) at baseline evaluation. As to the primary outcome, no significant differences were found between groups at the end of the study. As During the 8-week training, within-group comparisons showed significant improvements of mean modified Emory Functional Ambulation Profile in both groups (P<0.001).
CONCLUSIONS: Our results support the hypothesis that an early treatment protocol of robot-assisted gait retraining is not superior to add-on conventional gait training intervention for improving locomotion in non-ambulatory stroke patients. CLINICAL REHABILITATION IMPACT: This study might help to better understand the role of robot-assisted gait training in early phase stroke rehabilitation.

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Year:  2018        PMID: 29600688     DOI: 10.23736/S1973-9087.18.04832-3

Source DB:  PubMed          Journal:  Eur J Phys Rehabil Med        ISSN: 1973-9087            Impact factor:   2.874


  8 in total

Review 1.  Settings matter: a scoping review on parameters in robot-assisted gait therapy identifies the importance of reporting standards.

Authors:  Florian van Dellen; Rob Labruyère
Journal:  J Neuroeng Rehabil       Date:  2022-04-22       Impact factor: 5.208

Review 2.  Electromechanical-assisted training for walking after stroke.

Authors:  Jan Mehrholz; Simone Thomas; Cordula Werner; Joachim Kugler; Marcus Pohl; Bernhard Elsner
Journal:  Cochrane Database Syst Rev       Date:  2017-05-10

3.  New Motion Intention Acquisition Method of Lower Limb Rehabilitation Robot Based on Static Torque Sensors.

Authors:  Yongfei Feng; Hongbo Wang; Luige Vladareanu; Zheming Chen; Di Jin
Journal:  Sensors (Basel)       Date:  2019-08-06       Impact factor: 3.576

4.  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

5.  Robot-Assisted Gait Training Plan for Patients in Poststroke Recovery Period: A Single Blind Randomized Controlled Trial.

Authors:  Deng Yu; Zhang Yang; Liu Lei; Ni Chaoming; Wu Ming
Journal:  Biomed Res Int       Date:  2021-08-29       Impact factor: 3.411

6.  Hybrid robot-assisted gait training for motor function in subacute stroke: a single-blind randomized controlled trial.

Authors:  Yen-Nung Lin; Shih-Wei Huang; Yi-Chun Kuan; Hung-Chou Chen; Wen-Shan Jian; Li-Fong Lin
Journal:  J Neuroeng Rehabil       Date:  2022-09-14       Impact factor: 5.208

7.  The Effect of Robotic Assisted Gait Training With Lokomat® on Balance Control After Stroke: Systematic Review and Meta-Analysis.

Authors:  Federica Baronchelli; Chiara Zucchella; Mariano Serrao; Domenico Intiso; Michelangelo Bartolo
Journal:  Front Neurol       Date:  2021-07-06       Impact factor: 4.003

8.  Electromechanical-assisted training for walking after stroke.

Authors:  Jan Mehrholz; Simone Thomas; Joachim Kugler; Marcus Pohl; Bernhard Elsner
Journal:  Cochrane Database Syst Rev       Date:  2020-10-22
  8 in total

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