Literature DB >> 34127032

An innovative training based on robotics for older people with subacute stroke: study protocol for a randomized controlled trial.

Elvira Maranesi1,2, Roberta Bevilacqua3, Mirko Di Rosa4, Giuseppe Pelliccioni5, Valentina Di Donna6, Riccardo Luzi7, Micaela Morettini8, Agnese Sbrollini8, Elisa Casoni9, Nadia Rinaldi6, Renato Baldoni9, Fabrizia Lattanzio3, Laura Burattini8, Giovanni R Riccardi9.   

Abstract

BACKGROUND: Stroke is a leading cause of disability, injury, and death in elderly people and represents a major public health problem with substantial medical and economic consequences. The incidence of stroke rapidly increases with age, doubling for each decade after age 55 years. Gait impairment is one of the most important problems after stroke, and improving walking function is often a key component of any rehabilitation program. To achieve this goal, a robotic gait trainer seems to be promising. In fact, some studies underline the efficacy of robotic gait training based on end-effector technology, for different diseases, in particular in stroke patients. In this randomized controlled trial, we verify the efficacy of the robotic treatment in terms of improving the gait and reducing the risk of falling and its long-term effects.
METHODS: In this single-blind randomized controlled trial, we will include 152 elderly subacute stroke patients divided in two groups to receive a traditional rehabilitation program or a robotic rehabilitation using G-EO system, an end-effector device for the gait rehabilitation, in addition to the traditional therapy. Twenty treatment sessions will be conducted, divided into 3 training sessions per week, for 7 weeks. The control group will perform traditional therapy sessions lasting 50 min. The technological intervention group, using the G-EO system, will carry out 30 min of traditional therapy and 20 min of treatment with a robotic system. The primary outcome of the study is the evaluation of the falling risk. Secondary outcomes are the assessment of the gait improvements and the fear of falling. Further evaluations, such as length and asymmetry of the step, walking and functional status, and acceptance of the technology, will be carried. DISCUSSION: The final goal of the present study is to propose a new approach and an innovative therapeutic plan in the post-stroke rehabilitation, focused on the use of a robotic device, in order to obtain the beneficial effects of this treatment. TRIAL REGISTRATION: ClinicalTrials.gov NCT04087083 . Registered on September 12, 2019.

Entities:  

Keywords:  End-effector gait rehabilitation; Gait training; Stroke patients

Mesh:

Year:  2021        PMID: 34127032     DOI: 10.1186/s13063-021-05357-8

Source DB:  PubMed          Journal:  Trials        ISSN: 1745-6215            Impact factor:   2.279


  25 in total

Review 1.  Robotic-assisted gait training in neurological patients: who may benefit?

Authors:  Isabella Schwartz; Zeev Meiner
Journal:  Ann Biomed Eng       Date:  2015-02-28       Impact factor: 3.934

Review 2.  Stroke incidence and prevalence in Europe: a review of available data.

Authors:  T Truelsen; B Piechowski-Jóźwiak; R Bonita; C Mathers; J Bogousslavsky; G Boysen
Journal:  Eur J Neurol       Date:  2006-06       Impact factor: 6.089

3.  Design and evaluation of the LOPES exoskeleton robot for interactive gait rehabilitation.

Authors:  Jan F Veneman; Rik Kruidhof; Edsko E G Hekman; Ralf Ekkelenkamp; Edwin H F Van Asseldonk; Herman van der Kooij
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2007-09       Impact factor: 3.802

4.  Robot assisted gait training with active leg exoskeleton (ALEX).

Authors:  Sai K Banala; Seok Hun Kim; Sunil K Agrawal; John P Scholz
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2009-02       Impact factor: 3.802

Review 5.  Stroke epidemiology: advancing our understanding of disease mechanism and therapy.

Authors:  Bruce Ovbiagele; Mai N Nguyen-Huynh
Journal:  Neurotherapeutics       Date:  2011-07       Impact factor: 7.620

6.  Trends in stroke and coronary heart disease in the WHO MONICA Project.

Authors:  Thomas Truelsen; Markku Mähönen; Hanna Tolonen; Kjell Asplund; Ruth Bonita; Diego Vanuzzo
Journal:  Stroke       Date:  2003-05-08       Impact factor: 7.914

7.  Innovative gait robot for the repetitive practice of floor walking and stair climbing up and down in stroke patients.

Authors:  Stefan Hesse; Andreas Waldner; Christopher Tomelleri
Journal:  J Neuroeng Rehabil       Date:  2010-06-28       Impact factor: 4.262

Review 8.  A review of lower extremity assistive robotic exoskeletons in rehabilitation therapy.

Authors:  Gong Chen; Chow Khuen Chan; Zhao Guo; Haoyong Yu
Journal:  Crit Rev Biomed Eng       Date:  2013

9.  Conflicting results of robot-assisted versus usual gait training during postacute rehabilitation of stroke patients: a randomized clinical trial.

Authors:  Giovanni Taveggia; Alberto Borboni; Chiara Mulé; Jorge H Villafañe; Stefano Negrini
Journal:  Int J Rehabil Res       Date:  2016-03       Impact factor: 1.479

10.  Influence of body weight unloading on human gait characteristics: a systematic review.

Authors:  Salil Apte; Michiel Plooij; Heike Vallery
Journal:  J Neuroeng Rehabil       Date:  2018-06-20       Impact factor: 4.262

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