Literature DB >> 33091160

Electromechanical-assisted training for walking after stroke.

Jan Mehrholz1, Simone Thomas2, Joachim Kugler1, Marcus Pohl3, Bernhard Elsner1.   

Abstract

BACKGROUND: Electromechanical- and robot-assisted gait-training devices are used in rehabilitation and might help to improve walking after stroke. This is an update of a Cochrane Review first published in 2007 and previously updated in 2017.
OBJECTIVES: Primary • To determine whether electromechanical- and robot-assisted gait training versus normal care improves walking after stroke Secondary • To determine whether electromechanical- and robot-assisted gait training versus normal care after stroke improves walking velocity, walking capacity, acceptability, and death from all causes until the end of the intervention phase SEARCH
METHODS: We searched the Cochrane Stroke Group Trials Register (last searched 6 January 2020); the Cochrane Central Register of Controlled Trials (CENTRAL; 2020 Issue 1), in the Cochrane Library; MEDLINE in Ovid (1950 to 6 January 2020); Embase (1980 to 6 January 2020); the Cumulative Index to Nursing and Allied Health Literature (CINAHL; 1982 to 20 November 2019); the Allied and Complementary Medicine Database (AMED; 1985 to 6 January 2020); Web of Science (1899 to 7 January 2020); SPORTDiscus (1949 to 6 January 2020); the Physiotherapy Evidence Database (PEDro; searched 7 January 2020); and the engineering databases COMPENDEX (1972 to 16 January 2020) and Inspec (1969 to 6 January 2020). We handsearched relevant conference proceedings, searched trials and research registers, checked reference lists, and contacted trial authors in an effort to identify further published, unpublished, and ongoing trials. SELECTION CRITERIA: We included all randomised controlled trials and randomised controlled cross-over trials in people over the age of 18 years diagnosed with stroke of any severity, at any stage, in any setting, evaluating electromechanical- and robot-assisted gait training versus normal care. DATA COLLECTION AND ANALYSIS: Two review authors independently selected trials for inclusion, assessed methodological quality and risk of bias, and extracted data. We assessed the quality of evidence using the GRADE approach. The primary outcome was the proportion of participants walking independently at follow-up. MAIN
RESULTS: We included in this review update 62 trials involving 2440 participants. Electromechanical-assisted gait training in combination with physiotherapy increased the odds of participants becoming independent in walking (odds ratio (random effects) 2.01, 95% confidence interval (CI) 1.51 to 2.69; 38 studies, 1567 participants; P < 0.00001; I² = 0%; high-quality evidence) and increased mean walking velocity (mean difference (MD) 0.06 m/s, 95% CI 0.02 to 0.10; 42 studies, 1600 participants; P = 0.004; I² = 60%; low-quality evidence) but did not improve mean walking capacity (MD 10.9 metres walked in 6 minutes, 95% CI -5.7 to 27.4; 24 studies, 983 participants; P = 0.2; I² = 42%; moderate-quality evidence). Electromechanical-assisted gait training did not increase the risk of loss to the study during intervention nor the risk of death from all causes. Results must be interpreted with caution because (1) some trials investigated people who were independent in walking at the start of the study, (2) we found variation between trials with respect to devices used and duration and frequency of treatment, and (3) some trials included devices with functional electrical stimulation. Post hoc analysis showed that people who are non-ambulatory at the start of the intervention may benefit but ambulatory people may not benefit from this type of training. Post hoc analysis showed no differences between the types of devices used in studies regarding ability to walk but revealed differences between devices in terms of walking velocity and capacity. AUTHORS'
CONCLUSIONS: People who receive electromechanical-assisted gait training in combination with physiotherapy after stroke are more likely to achieve independent walking than people who receive gait training without these devices. We concluded that eight patients need to be treated to prevent one dependency in walking. Specifically, people in the first three months after stroke and those who are not able to walk seem to benefit most from this type of intervention. The role of the type of device is still not clear. Further research should consist of large definitive pragmatic phase 3 trials undertaken to address specific questions about the most effective frequency and duration of electromechanical-assisted gait training, as well as how long any benefit may last. Future trials should consider time post stroke in their trial design.
Copyright © 2020 The Cochrane Collaboration. Published by John Wiley & Sons, Ltd.

Entities:  

Mesh:

Year:  2020        PMID: 33091160      PMCID: PMC8189995          DOI: 10.1002/14651858.CD006185.pub5

Source DB:  PubMed          Journal:  Cochrane Database Syst Rev        ISSN: 1361-6137


  98 in total

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Authors:  R W Bohannon; M G Horton; J B Wikholm
Journal:  Int J Rehabil Res       Date:  1991       Impact factor: 1.479

2.  Who may benefit from robotic-assisted gait training? A randomized clinical trial in patients with subacute stroke.

Authors:  Giovanni Morone; Maura Bragoni; Marco Iosa; Domenico De Angelis; Vincenzo Venturiero; Paola Coiro; Luca Pratesi; Stefano Paolucci
Journal:  Neurorehabil Neural Repair       Date:  2011-03-26       Impact factor: 3.919

3.  Effects of Innovative WALKBOT Robotic-Assisted Locomotor Training on Balance and Gait Recovery in Hemiparetic Stroke: A Prospective, Randomized, Experimenter Blinded Case Control Study With a Four-Week Follow-Up.

Authors:  Soo-Yeon Kim; Li Yang; In Jae Park; Eun Joo Kim; Min Su JoshuaPark; Sung Hyun You; Yun-Hee Kim; Hyun-Yoon Ko; Yong-Il Shin
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2015-04-02       Impact factor: 3.802

Review 4.  Repetitive task training for improving functional ability after stroke.

Authors:  Beverley French; Lois H Thomas; Jacqueline Coupe; Naoimh E McMahon; Louise Connell; Joanna Harrison; Christopher J Sutton; Svetlana Tishkovskaya; Caroline L Watkins
Journal:  Cochrane Database Syst Rev       Date:  2016-11-14

5.  Gait training with a robotic leg brace after stroke: a randomized controlled pilot study.

Authors:  Joel Stein; Lauri Bishop; Daniel J Stein; Christopher Kevin Wong
Journal:  Am J Phys Med Rehabil       Date:  2014-11       Impact factor: 2.159

6.  Combined transcranial direct current stimulation and robot-assisted gait training in patients with chronic stroke: a preliminary comparison.

Authors:  Christian Geroin; Alessandro Picelli; Daniele Munari; Andreas Waldner; Christopher Tomelleri; Nicola Smania
Journal:  Clin Rehabil       Date:  2011-03-14       Impact factor: 3.477

7.  Improved walking ability and reduced therapeutic stress with an electromechanical gait device.

Authors:  Susanna Freivogel; Dieter Schmalohr; Jan Mehrholz
Journal:  J Rehabil Med       Date:  2009-09       Impact factor: 2.912

Review 8.  Guidelines for Adult Stroke Rehabilitation and Recovery: A Guideline for Healthcare Professionals From the American Heart Association/American Stroke Association.

Authors:  Carolee J Winstein; Joel Stein; Ross Arena; Barbara Bates; Leora R Cherney; Steven C Cramer; Frank Deruyter; Janice J Eng; Beth Fisher; Richard L Harvey; Catherine E Lang; Marilyn MacKay-Lyons; Kenneth J Ottenbacher; Sue Pugh; Mathew J Reeves; Lorie G Richards; William Stiers; Richard D Zorowitz
Journal:  Stroke       Date:  2016-05-04       Impact factor: 7.914

Review 9.  Overground physical therapy gait training for chronic stroke patients with mobility deficits.

Authors:  Rebecca A States; Evangelos Pappas; Yasser Salem
Journal:  Cochrane Database Syst Rev       Date:  2009-07-08

10.  The effects of robot-assisted gait training using virtual reality and auditory stimulation on balance and gait abilities in persons with stroke.

Authors:  Jaeho Park; Yijung Chung
Journal:  NeuroRehabilitation       Date:  2018       Impact factor: 2.138

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Journal:  Anaesthesiologie       Date:  2022-06-15

2.  Combining Robot-Assisted Gait Training and Non-Invasive Brain Stimulation in Chronic Stroke Patients: A Systematic Review.

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Review 3.  Rethinking the tools in the toolbox.

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Journal:  J Neuroeng Rehabil       Date:  2022-06-20       Impact factor: 5.208

4.  Feasibility and cost description of highly intensive rehabilitation involving new technologies in patients with post-acute stroke-a trial of the Swiss RehabTech Initiative.

Authors:  Corina Schuster-Amft; Jan Kool; J Carsten Möller; Raoul Schweinfurther; Markus J Ernst; Leah Reicherzer; Carina Ziller; Martin E Schwab; Simon Wieser; Markus Wirz
Journal:  Pilot Feasibility Stud       Date:  2022-07-05

5.  Gait Recovery with an Overground Powered Exoskeleton: A Randomized Controlled Trial on Subacute Stroke Subjects.

Authors:  Franco Molteni; Eleonora Guanziroli; Michela Goffredo; Rocco Salvatore Calabrò; Sanaz Pournajaf; Marina Gaffuri; Giulio Gasperini; Serena Filoni; Silvano Baratta; Daniele Galafate; Domenica Le Pera; Placido Bramanti; Marco Franceschini
Journal:  Brain Sci       Date:  2021-01-14

6.  Effects of Balance Exercise Assist Robot training for patients with hemiparetic stroke: a randomized controlled trial.

Authors:  Seigo Inoue; Yohei Otaka; Masashi Kumagai; Masafumi Sugasawa; Naoki Mori; Kunitsugu Kondo
Journal:  J Neuroeng Rehabil       Date:  2022-01-28       Impact factor: 4.262

7.  Efficacy and Safety Study of Wearable Cyborg HAL (Hybrid Assistive Limb) in Hemiplegic Patients With Acute Stroke (EARLY GAIT Study): Protocols for a Randomized Controlled Trial.

Authors:  Hiroki Watanabe; Aiki Marushima; Hideki Kadone; Yukiyo Shimizu; Shigeki Kubota; Tenyu Hino; Masayuki Sato; Yoshiro Ito; Mikito Hayakawa; Hideo Tsurushima; Kazushi Maruo; Yasushi Hada; Eiichi Ishikawa; Yuji Matsumaru
Journal:  Front Neurosci       Date:  2021-07-02       Impact factor: 4.677

Review 8.  Converging Robotic Technologies in Targeted Neural Rehabilitation: A Review of Emerging Solutions and Challenges.

Authors:  Kostas Nizamis; Alkinoos Athanasiou; Sofia Almpani; Christos Dimitrousis; Alexander Astaras
Journal:  Sensors (Basel)       Date:  2021-03-16       Impact factor: 3.576

9.  Professionals' Views and Experiences of Using Rehabilitation Robotics With Stroke Survivors: A Mixed Methods Survey.

Authors:  Lutong Li; Sarah Tyson; Andrew Weightman
Journal:  Front Med Technol       Date:  2021-11-11

Review 10.  Gamified Neurorehabilitation Strategies for Post-stroke Motor Recovery: Challenges and Advantages.

Authors:  Jenna Tosto-Mancuso; Laura Tabacof; Joseph E Herrera; Erica Breyman; Sophie Dewil; Mar Cortes; Loreene Correa-Esnard; Christopher P Kellner; Neha Dangayach; David Putrino
Journal:  Curr Neurol Neurosci Rep       Date:  2022-03-12       Impact factor: 6.030

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