首页|Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Cente r) Reports Findings in Stroke (Effect of robotic exoskeleton training on lower l imb function, activity and participation in stroke patients: a systematic review and ...)
Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Cente r) Reports Findings in Stroke (Effect of robotic exoskeleton training on lower l imb function, activity and participation in stroke patients: a systematic review and ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Cerebrovascular Diseas es and Conditions - Stroke is the subject of a report. According to news reporti ng out of Shanghai, People’s Republic of China, by NewsRx editors, research stat ed, “The current lower limb robotic exoskeleton training (LRET) for treating and managing stroke patients remains a huge challenge. Comprehensive ICF analysis a nd informative treatment options are needed.” Our news journalists obtained a quote from the research from Shanghai YangZhi Re habilitation Hospital (Shanghai Sunshine Rehabilitation Center), “This review ai ms to analyze LRET’ s efficacy for stroke patients, based on ICF, and explore th e impact of intervention intensities, devices, and stroke phases. We searched We b of Science, PubMed, and The Cochrane Library for RCTs on LRET for stroke patie nts. Two authors reviewed studies, extracted data, and assessed quality and bias . Standardized protocols were used. PEDro and ROB2 were employed for quality ass essment. All analyses were done with RevMan 5.4. Thirty-four randomized controll ed trials (1,166 participants) were included. For function, LRET significantly i mproved motor control (MD = 1.15, 95%CI = 0.29-2.01, = 0.009, FMA-L E), and gait parameters (MD = 0.09, 95%CI = 0.03-0.16, = 0.004, Ins trumented Gait Velocity; MD = 0.06, 95%CI = 0.02-0.09, = 0.002, Ste p length; MD = 4.48, 95%CI = 0.32-8.65, = 0.04, Cadence) compared w ith conventional rehabilitation. For activity, LRET significantly improved walki ng independence (MD = 0.25, 95%CI = 0.02-0.48, = 0.03, FAC), Gait V elocity (MD = 0.07, 95%CI = 0.03-0.11, = 0.001) and balance (MD = 2 .34, 95%CI = 0.21-4.47, = 0.03, BBS). For participation, social par ticipation (MD = 0.12, 95%CI = 0.03-0.21, = 0.01, EQ-5D) was superi or to conventional rehabilitation. Based on subgroup analyses, LRET improved mot or control (MD = 1.37, 95%CI = 0.47-2.27, = 0.003, FMA-LE), gait pa rameters (MD = 0.08, 95%CI = 0.02-0.14, = 0.006, Step length), Gait Velocity (MD = 0.11, 95%CI = 0.03-0.19, = 0.005) and activities of daily living (MD = 2.77, 95%CI = 1.37-4.16, = 0.0001, BI) for the subacute patients, while no significant improvement for the chronic patients. Fo r exoskeleton devices, treadmill-based exoskeletons showed significant superiori ty for balance (MD = 4.81, 95%CI = 3.10-6.52, <0.00001, BBS) and activities of daily living (MD = 2.67, 95%CI = 1 .25-4.09, = 0.00002, BI), while Over-ground exoskeletons was more effective for gait parameters (MD = 0.05, 95%CI = 0.02-0.08, = 0.0009, Step lengt h; MD = 6.60, 95%CI = 2.06-11.15, = 0.004, Cadence) and walking ind ependence (MD = 0.29, 95%CI = 0.14-0.44, = 0.0002, FAC). Depending on the training regimen, better results may be achieved with daily training inte nsities of 45-60 min and weekly training intensities of 3 h or more. These findi ngs offer insights for healthcare professionals to make effective LRET choices b ased on stroke patient needs though uncertainties remain.”
ShanghaiPeople’s Republic of ChinaAs iaActivities of Daily LivingCerebrovascular Diseases and ConditionsClinica l ResearchClinical Trials and StudiesEmerging TechnologiesHealth and Medic ineMachine LearningRehabilitationRoboticsRobotsStroke
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