Literature DB >> 24018369

Does robot-assisted gait training ameliorate gait abnormalities in multiple sclerosis? A pilot randomized-control trial.

S Straudi1, M G Benedetti2, E Venturini3, M Manca3, C Foti4, N Basaglia3.   

Abstract

BACKGROUND: Gait disorders are common in multiple sclerosis (MS) and lead to a progressive reduction of function and quality of life.
OBJECTIVE: Test the effects of robot-assisted gait rehabilitation in MS subjects through a pilot randomized-controlled study.
METHODS: We enrolled MS subjects with Expanded Disability Status Scale scores within 4.5-6.5. The experimental group received 12 robot-assisted gait training sessions over 6 weeks. The control group received the same amount of conventional physiotherapy. Outcomes measures were both biomechanical assessment of gait, including kinematics and spatio-temporal parameters, and clinical test of walking endurance (six-minute walk test) and mobility (Up and Go Test).
RESULTS: 16 subjects (n = 8 experimental group, n = 8 control group) were included in the final analysis. At baseline the two groups were similar in all variables, except for step length. Data showed walking endurance, as well as spatio-temporal gait parameters improvements after robot-assisted gait training. Pelvic antiversion and reduced hip extension during terminal stance ameliorated after aforementioned intervention.
CONCLUSIONS: Robot-assisted gait training seems to be effective in increasing walking competency in MS subjects. Moreover, it could be helpful in restoring the kinematic of the hip and pelvis.

Entities:  

Keywords:  Rehabilitation; gait analysis; multiple sclerosis; robot-driven gait orthosis

Mesh:

Year:  2013        PMID: 24018369     DOI: 10.3233/NRE-130990

Source DB:  PubMed          Journal:  NeuroRehabilitation        ISSN: 1053-8135            Impact factor:   2.138


  13 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

2.  Effect of Comorbidities on Outcomes of Neurorehabilitation Interventions in Multiple Sclerosis: A Scoping Review.

Authors:  Afolasade Fakolade; Etienne J Bisson; Julie Pétrin; Julie Lamarre; Marcia Finlayson
Journal:  Int J MS Care       Date:  2016 Nov-Dec

Review 3.  Exploring Wellness Interventions in Progressive Multiple Sclerosis: an Evidence-Based Review.

Authors:  Myriam Venasse; Thomas Edwards; Lara A Pilutti
Journal:  Curr Treat Options Neurol       Date:  2018-04-10       Impact factor: 3.598

4.  Robot-assisted vs. sensory integration training in treating gait and balance dysfunctions in patients with multiple sclerosis: a randomized controlled trial.

Authors:  Marialuisa Gandolfi; Christian Geroin; Alessandro Picelli; Daniele Munari; Andreas Waldner; Stefano Tamburin; Fabio Marchioretto; Nicola Smania
Journal:  Front Hum Neurosci       Date:  2014-05-22       Impact factor: 3.169

5.  Do Patients with Multiple Sclerosis Derive More Benefit from Robot-Assisted Gait Training Compared with Conventional Walking Therapy on Motor Function? A Meta-analysis.

Authors:  Xiao Xie; Hao Sun; Qing Zeng; Pengcheng Lu; Yijin Zhao; Tao Fan; Guozhi Huang
Journal:  Front Neurol       Date:  2017-06-13       Impact factor: 4.003

6.  The effectiveness of Robot-Assisted Gait Training versus conventional therapy on mobility in severely disabled progressIve MultiplE sclerosis patients (RAGTIME): study protocol for a randomized controlled trial.

Authors:  Sofia Straudi; Fabio Manfredini; Nicola Lamberti; Paolo Zamboni; Francesco Bernardi; Giovanna Marchetti; Paolo Pinton; Massimo Bonora; Paola Secchiero; Veronica Tisato; Stefano Volpato; Nino Basaglia
Journal:  Trials       Date:  2017-02-27       Impact factor: 2.279

Review 7.  Sensors and Systems for Physical Rehabilitation and Health Monitoring-A Review.

Authors:  Lucas Medeiros Souza do Nascimento; Lucas Vacilotto Bonfati; Melissa La Banca Freitas; José Jair Alves Mendes Junior; Hugo Valadares Siqueira; Sergio Luiz Stevan
Journal:  Sensors (Basel)       Date:  2020-07-22       Impact factor: 3.576

8.  Over-ground walking or robot-assisted gait training in people with .multiple sclerosis: does the effect depend on baseline walking speed and disease related disabilities? A systematic review and meta-regression.

Authors:  Martin Sattelmayer; Odile Chevalley; Ruedi Steuri; Roger Hilfiker
Journal:  BMC Neurol       Date:  2019-05-08       Impact factor: 2.474

Review 9.  Review-Emerging Portable Technologies for Gait Analysis in Neurological Disorders.

Authors:  Christina Salchow-Hömmen; Matej Skrobot; Magdalena C E Jochner; Thomas Schauer; Andrea A Kühn; Nikolaus Wenger
Journal:  Front Hum Neurosci       Date:  2022-02-03       Impact factor: 3.169

10.  Vigorous cool room treadmill training to improve walking ability in people with multiple sclerosis who use ambulatory assistive devices: a feasibility study.

Authors:  Augustine J Devasahayam; Arthur R Chaves; Wendy O Lasisi; Marie E Curtis; Katie P Wadden; Liam P Kelly; Ryan Pretty; Alice Chen; Elizabeth M Wallack; Caitlin J Newell; John B Williams; Hannah Kenny; Matthew B Downer; Jason McCarthy; Craig S Moore; Michelle Ploughman
Journal:  BMC Neurol       Date:  2020-01-22       Impact factor: 2.474

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