Literature DB >> 30878496

Robotic-Assisted Shoulder Rehabilitation Therapy Effectively Improved Poststroke Hemiplegic Shoulder Pain: A Randomized Controlled Trial.

Min-Su Kim1, Sung Hoon Kim2, Se-Eung Noh1, Heui Je Bang3, Kyoung-Moo Lee4.   

Abstract

OBJECTIVE: The purpose of this study was to investigate the therapeutic effects of a newly developed shoulder robot on poststroke hemiplegic shoulder pain.
DESIGN: Prospective, single-blind randomized controlled trial.
SETTING: Inpatient department of a tertiary university hospital. PARTICIPANTS: Hemiplegic shoulder pain patients (N=38) were consecutively recruited and randomly assigned to an intervention or control group.
INTERVENTIONS: A newly developed robot was designed to perform joint mobilization and stretching exercises with patients lying in the supine position. Conventional physical therapy directed at both improving upper extremity mechanics and reducing neurologic injury was performed twice per day in both groups. In the intervention group, additional robotic-assisted shoulder rehabilitation therapy was administered for 30 minutes per day, 5 times per week for 4 weeks. MAIN OUTCOME MEASURES: The visual analog scale was the primary outcome, and the pain-free passive range of motion of the shoulder joint, the Korean version of the Shoulder Disability Questionnaire, and ultrasonographic grades were the secondary outcomes. The outcomes were evaluated at baseline (T0), postintervention (T1), and a 4-week follow-up (T2).
RESULTS: Significant time and group interaction effects were found on the visual analog scale, in the abduction passive range of motion, and on the Shoulder Disability Questionnaire (F2,33=16.384, P=.002; F2,33=10.609, P=.012; F2,33=32.650, P=.008, respectively). Significantly higher improvements in these outcome measures were observed in the intervention group than in the control group at T1 after post hoc analysis (P<0.05, all). These improvements were sustained at T2 when the intervention group was compared with the control group (P<.05, all).
CONCLUSIONS: A prototype shoulder rehabilitation robot as an adjuvant therapy improves hemiplegic shoulder pain and self-reported shoulder-related disability.
Copyright © 2019 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Musculoskeletal manipulations; Pain; Rehabilitation; Robotics; Shoulder; Stroke

Year:  2019        PMID: 30878496     DOI: 10.1016/j.apmr.2019.02.003

Source DB:  PubMed          Journal:  Arch Phys Med Rehabil        ISSN: 0003-9993            Impact factor:   3.966


  5 in total

1.  Robotic therapy for the hemiplegic shoulder pain: a pilot study.

Authors:  Ruthber Rodríguez Serrezuela; Mauricio Torres Quezada; Marcia Hernández Zayas; Arquímedes Montoya Pedrón; Daily Milanés Hermosilla; Roberto Sagaró Zamora
Journal:  J Neuroeng Rehabil       Date:  2020-04-22       Impact factor: 4.262

2.  The Route of Motor Recovery in Stroke Patients Driven by Exoskeleton-Robot-Assisted Therapy: A Path-Analysis.

Authors:  Loris Pignolo; Rocco Servidio; Giuseppina Basta; Simone Carozzo; Paolo Tonin; Rocco Salvatore Calabrò; Antonio Cerasa
Journal:  Med Sci (Basel)       Date:  2021-10-26

3.  ROBOCOP (ROBOtic Care of Poststroke Pain): Study Protocol for a Randomized Trial to Assess Robot-Assisted Functional and Motor Recovery and Impact on Poststroke Pain Development.

Authors:  Loris Pignolo; Paolo Tonin; Pierluigi Nicotera; Giacinto Bagetta; Damiana Scuteri
Journal:  Front Neurol       Date:  2022-02-18       Impact factor: 4.003

Review 4.  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

5.  Effectiveness of acupuncture combined with rehabilitation training vs. rehabilitation training alone for post-stroke shoulder pain: A systematic review and meta-analysis of randomized controlled trials.

Authors:  Jie Zhan; Xiaojing Wei; Chenyang Tao; Xiaoting Yan; Peiming Zhang; Rouhao Chen; Yu Dong; Hongxia Chen; Jianhua Liu; Liming Lu
Journal:  Front Med (Lausanne)       Date:  2022-10-04
  5 in total

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