Literature DB >> 27486219

Does robot-assisted gait training improve ambulation in highly disabled multiple sclerosis people? A pilot randomized control trial.

Alessandra Pompa1, Giovanni Morone2, Marco Iosa2, Luca Pace1, Sheila Catani1, Paolo Casillo1, Alessandro Clemenzi1, Elio Troisi1, Angelo Tonini1, Stefano Paolucci2, Maria Grazia Grasso1.   

Abstract

BACKGROUND: Robotic training is commonly used to assist walking training in patients affected by multiple sclerosis (MS) with non-conclusive results.
OBJECTIVE: To compare the effect of robot-assisted gait training (RAGT) with that of conventional walking training (CWT) on gait competencies, global ability, fatigue and spasticity in a group of severely affected patients with MS.
METHODS: A pilot, single-blind randomized controlled trial was conducted in 43 severe (Expanded Disability Status Scale (EDSS) score of 6-7.5) and non-autonomous ambulant in-patients with MS. Experimental group performed 12 sessions of RAGT, whereas control group performed the same amount of CWT. Primary outcome measures were gait ability assessed by 2 minutes walking test and Functional Ambulatory Category; secondary outcomes were global ability (modified Barthel Index), global mobility (Rivermead Mobility Index), severity of disease (EDSS) and subjectively perceived fatigue (Fatigue Severity Scale).
RESULTS: The number of subjects who achieved a clinical significant improvement was significantly higher in RAGT than in CWT ( p < 0.05 for both primary outcome measures). RAGT also led to an improvement in all the other clinical parameters (global ability: p < 0.001, global mobility: p < 0.001, EDSS: p = 0.014 and fatigue: p = 0.001).
CONCLUSIONS: RAGT improved the walking competencies in non-autonomous ambulant patients with MS, with benefits in terms of perceived fatigue.

Entities:  

Keywords:  Multiple sclerosis; fatigue; robotic training; spasticity

Mesh:

Year:  2016        PMID: 27486219     DOI: 10.1177/1352458516663033

Source DB:  PubMed          Journal:  Mult Scler        ISSN: 1352-4585            Impact factor:   6.312


  8 in total

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  8 in total

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