Literature DB >> 22180255

Who may have durable benefit from robotic gait training?: a 2-year follow-up randomized controlled trial in patients with subacute stroke.

Giovanni Morone1, Marco Iosa, Maura Bragoni, Domenico De Angelis, Vincenzo Venturiero, Paola Coiro, Raffaella Riso, Luca Pratesi, Stefano Paolucci.   

Abstract

BACKGROUND AND
PURPOSE: Robotic-assisted walking training after stroke aims to enhance the odd of regaining independent gait. Recent studies have suggested that this approach is more effective than conventional therapy alone only in severely affected patients. We determined whether these results persist at long-term follow-up.
METHODS: Forty-eight nonambulant participants after subacute stroke were stratified by motricity index into high (<29) and low (≥29) motor impairment groups. Each arm was randomized to a robotic or control group at a mean of 20 days after stroke. All patients underwent 2 therapy sessions per day, 5 days per week, for 3 months. Robotic group subjects underwent 20 sessions of robotic-assisted gait training in the first 4 weeks of inpatient therapy and abbreviated conventional therapy, whereas control group patients received only conventional gait training. The primary outcome was Functional Ambulation Category, and secondary measures were the Rivermead Mobility Index and Barthel Index scores. The scales were administered before and after the inpatient stay and 2 years after discharge.
RESULTS: At follow-up, as at discharge, the low motricity robotic group improved more than the control group counterpart with regard to functional ambulation category (4.7±0.5 versus 3.1±1.5, P=0.002), Barthel Index (76.9±11.5 versus 64.7±14.0, P=0.024), and Rivermead Mobility Index (11.8±3.5 versus 7.0±3.6, P=0.010), whereas conventional and robotic therapies were equally effective in the high motricity groups.
CONCLUSIONS: The higher efficacy of the combination of robotic therapy and conventional therapy versus conventional therapy alone that was observed at discharge only in patients with greater motor impairments was sustained after 2 years.

Entities:  

Mesh:

Year:  2011        PMID: 22180255     DOI: 10.1161/STROKEAHA.111.638148

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  23 in total

Review 1.  Robotic gait rehabilitation and substitution devices in neurological disorders: where are we now?

Authors:  Rocco Salvatore Calabrò; Alberto Cacciola; Francesco Bertè; Alfredo Manuli; Antonino Leo; Alessia Bramanti; Antonino Naro; Demetrio Milardi; Placido Bramanti
Journal:  Neurol Sci       Date:  2016-01-18       Impact factor: 3.307

Review 2.  Technological advances in interventions to enhance poststroke gait.

Authors:  Lynne R Sheffler; John Chae
Journal:  Phys Med Rehabil Clin N Am       Date:  2013-05       Impact factor: 1.784

3.  Generalizability of Results from Randomized Controlled Trials in Post-Stroke Physiotherapy.

Authors:  Matteo Paci; Claudia Prestera; Francesco Ferrarello
Journal:  Physiother Can       Date:  2020-11-01       Impact factor: 1.037

4.  Effects of robot assisted gait training in progressive supranuclear palsy (PSP): a preliminary report.

Authors:  Patrizio Sale; Fabrizio Stocchi; Daniele Galafate; Maria Francesca De Pandis; Domenica Le Pera; Ivan Sova; Manuela Galli; Calogero Foti; Marco Franceschini
Journal:  Front Hum Neurosci       Date:  2014-04-17       Impact factor: 3.169

5.  Rehabilitation of the Upper Extremity after Stroke: A Case Series Evaluating REO Therapy and an Auditory Sensor Feedback for Trunk Control.

Authors:  G Thielman; P Bonsall
Journal:  Stroke Res Treat       Date:  2012-08-08

6.  Seven capital devices for the future of stroke rehabilitation.

Authors:  M Iosa; G Morone; A Fusco; M Bragoni; P Coiro; M Multari; V Venturiero; D De Angelis; L Pratesi; S Paolucci
Journal:  Stroke Res Treat       Date:  2012-12-13

7.  New technologies for stroke rehabilitation.

Authors:  Marco Iosa; Stefan Hesse; Antonio Oliviero; Stefano Paolucci
Journal:  Stroke Res Treat       Date:  2013-01-20

8.  Effects of robot-assisted gait training on the balance and gait of chronic stroke patients: focus on dependent ambulators.

Authors:  Duk Youn Cho; Si-Woon Park; Min Jin Lee; Dae Sung Park; Eun Joo Kim
Journal:  J Phys Ther Sci       Date:  2015-10-30

9.  Physiological responses and energy cost of walking on the Gait Trainer with and without body weight support in subacute stroke patients.

Authors:  Anna Sofia Delussu; Giovanni Morone; Marco Iosa; Maura Bragoni; Marco Traballesi; Stefano Paolucci
Journal:  J Neuroeng Rehabil       Date:  2014-04-10       Impact factor: 4.262

10.  Concurrent validity of Physiological Cost Index in walking over ground and during robotic training in subacute stroke patients.

Authors:  Anna Sofia Delussu; Giovanni Morone; Marco Iosa; Maura Bragoni; Stefano Paolucci; Marco Traballesi
Journal:  Biomed Res Int       Date:  2014-05-19       Impact factor: 3.411

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