Literature DB >> 28132574

Robotic-assisted gait training in Parkinson's disease: a three-month follow-up randomized clinical trial.

Anna Furnari1, Rocco Salvatore Calabrò2, Maria Cristina De Cola2, Michelangelo Bartolo1, Alberto Castelli1, Alessia Mapelli1, Giampiero Buttacchio1, Elena Farini1, Placido Bramanti1, Roberto Casale1.   

Abstract

PURPOSE: The aim of this study was to evaluate the efficacy of a robotic-assisted gait training (RAGT), together with a conventional exercise program (CEP), to improve PD ambulation, as compared to standard gait training.
METHODS: Thirty-eight patients with mild PD stage (H&Y 2-2.5) were randomly assigned to an experimental group (EG) or a control group. The 19 patients in EG received 30 min RAGT (using Lokomat device), whereas the 19 controls received a conventional gait training; both groups received 30 min of CEP. Participants were evaluated before (T0), immediately after (T1), and 12 weeks after the end of treatment (T2), by using 10-MWT, Tinetti Test and the motor score of the UPDRS-III.
RESULTS: We found that Tinetti Walking (TW) (X2(3) = 31.75; p < 0.001), Tinetti Balance (X2(3) = 74.07; p < 0.001), UPDRS-III (X2(3) = 6.87; p < 0.001) and GDS (X2(3) = 28.83; p < 0.001) scores were affected by the type of the rehabilitative treatment. At T2, we found a significant difference between the two groups for TW (t = 2.62; p < 0.02, d = 0.85). Concerning all the study outcomes, a significant improvement was observed from T0 to T1 in both groups. However, the functional motor gain at T2 was maintained only in the EG.
CONCLUSIONS: RAGT may significantly improve walking ability, motor function and for a maximum period of three months. Thus, our findings support the importance of a RAGT as a valid rehabilitative tool for PD.

Entities:  

Keywords:  Neurodegenerative brain disorder; device-based therapy; gait disorders; lower extremity rehabilitation

Mesh:

Year:  2017        PMID: 28132574     DOI: 10.1080/00207454.2017.1288623

Source DB:  PubMed          Journal:  Int J Neurosci        ISSN: 0020-7454            Impact factor:   2.292


  9 in total

1.  What the Tech? The Management of Neurological Dysfunction Through the Use of Digital Technology.

Authors:  Caitlin Carswell; Paul M Rea
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

2.  A Case Report on Robot-Aided Gait Training in Primary Lateral Sclerosis Rehabilitation: Rationale, Feasibility and Potential Effectiveness of a Novel Rehabilitation Approach.

Authors:  Simona Portaro; Laura Ciatto; Loredana Raciti; Enrico Aliberti; Riccardo Aliberti; Antonino Naro; Rocco Salvatore Calabrò
Journal:  Innov Clin Neurosci       Date:  2021 Apr-Jun

3.  Physical Therapist Management of Parkinson Disease: A Clinical Practice Guideline From the American Physical Therapy Association.

Authors:  Jacqueline A Osborne; Rachel Botkin; Cristina Colon-Semenza; Tamara R DeAngelis; Oscar G Gallardo; Heidi Kosakowski; Justin Martello; Sujata Pradhan; Miriam Rafferty; Janet L Readinger; Abigail L Whitt; Terry D Ellis
Journal:  Phys Ther       Date:  2022-04-01

Review 4.  Settings matter: a scoping review on parameters in robot-assisted gait therapy identifies the importance of reporting standards.

Authors:  Florian van Dellen; Rob Labruyère
Journal:  J Neuroeng Rehabil       Date:  2022-04-22       Impact factor: 5.208

5.  Motor and psychosocial impact of robot-assisted gait training in a real-world rehabilitation setting: A pilot study.

Authors:  Cira Fundarò; Anna Giardini; Roberto Maestri; Silvia Traversoni; Michelangelo Bartolo; Roberto Casale
Journal:  PLoS One       Date:  2018-02-14       Impact factor: 3.240

6.  Effects of robot-assisted gait training in patients with Parkinson's disease: study protocol for a randomized controlled trial.

Authors:  Min-Gu Kang; Seo Jung Yun; Hyun Iee Shin; Eunkyung Kim; Hyun Haeng Lee; Byung-Mo Oh; Han Gil Seo
Journal:  Trials       Date:  2019-01-07       Impact factor: 2.279

7.  Effect of robot-assisted gait training on gait automaticity in Parkinson disease: A prospective, open-label, single-arm, pilot study.

Authors:  Seo Jung Yun; Hyun Haeng Lee; Woo Hyung Lee; Seung Hak Lee; Byung-Mo Oh; Han Gil Seo
Journal:  Medicine (Baltimore)       Date:  2021-02-05       Impact factor: 1.817

Review 8.  A Literature Review of High-Tech Physiotherapy Interventions in the Elderly with Neurological Disorders.

Authors:  Marios Spanakis; Ioanna Xylouri; Evridiki Patelarou; Athina Patelarou
Journal:  Int J Environ Res Public Health       Date:  2022-07-28       Impact factor: 4.614

9.  Efficacy of Wearable Device Gait Training on Parkinson's Disease: A Randomized Controlled Open-label Pilot Study.

Authors:  Noriko Kawashima; Kazuko Hasegawa; Masako Iijima; Kayo Nagami; Tomomi Makimura; Aya Kumon; Shigeaki Ohtsuki
Journal:  Intern Med       Date:  2022-02-08       Impact factor: 1.282

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.