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The Effects of Robot-assisted Gait Training(RAGT) On Patients With Burn

H

Hangang Sacred Heart Hospital

Status

Unknown

Conditions

Burns

Treatments

Other: Robot-assisted Gait Training

Study type

Interventional

Funder types

Other

Identifiers

NCT03992547
HangangSHH-4

Details and patient eligibility

About

This study aimed to elucidate the efficacy and investigate the mechanism of motor recovery after RAGT on patients with lower extremity burn. To investigate RAGT effects, we compare the results of RGAT group to the results of matched conventional(CON) rehabilitation group.

Full description

Gait enables individuals to move forward and is considered a natural skill. However, gait disturbances are very common in patients with burn injury. Major causes of functional impairment are pain and joint contractures. Contractures at the lower extremities such as the hip, knee, and ankle significantly limit gait. Recent studies focused on the application of robot-assisted gait training (RAGT).

This single-blinded, randomized, controlled trial involved 40 patients with lower extremity burns. Patients were randomized into a RAGT or a CON group.

SUBAR® (CRETEM, Korea) is a wearable robot with a footplate that assists patients to perform voluntary muscle movements. RAGT enables training of automatically programmed normal gait pattern. Patients underwent 30 min of RAGT using SUBAR® and conventional exercise rehabilitation each for 30 min once a day for 5 days a week for 12 weeks. The CON group focused on gait training such as passive ROM exercise, weight bearing training, manual lymphatic drainage, and hypertrophic scar care for 60 min once a day for 5 days a week for 12 weeks.

A wearable functional near-infrared spectroscopy (fNIRS) device has been developed for studying cortical hemodynamics. Changes in cortical activity has not previously been documented in patients with burn injury. Cortical activity was measured by evaluating relative changes in oxyhemoglobin level. The NIRST Analysis Tool v2.1 was utilized to analyze fNIRS data in a MATLAB environment. Functional scores of functional ambulation category (FAC), 6-minute walking test (6MWT) distances, and numeric rating scale (NRS) scores of pain before and after 12 weeks RAGT were measured. Numeric rating scale (NRS) was used to rate the degree of subjective pain during gait movement: 0 points were assigned when no pain was noted, and unbearable pain was assigned 10 points. To evaluate functional recovery, FAC scores and 6-minute walking test (6MWT) distances were measured. FAC was evaluated based on six scales. Scale 0 means that the patient cannot walk or can only walk with assistance of two people. Scale 5 means that the patient can walk independently. We measured walking-related cortical activity using an fNIRS device before and after 12 weeks RAGT.

Enrollment

40 estimated patients

Sex

All

Ages

18 to 60 years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • the parients with lower extremity burn
  • ≤1 functional ambulation category (FAC) score ≤ 3

Exclusion criteria

  • cognitive disorders
  • intellectual impairment before burn injury
  • serious cardiac dysfunction
  • problems with weight bearing due to unstable fractures
  • body weight ≥100 kg
  • severe fixed contracture
  • skin disorders that could be worsened by robot assisted gait training

Trial design

Primary purpose

Treatment

Allocation

N/A

Interventional model

Single Group Assignment

Masking

None (Open label)

40 participants in 1 patient group

robot assisted gait traing
Experimental group
Description:
SUBAR® (CRETEM, Korea) is a wearable robot with a footplate that assists patients to perform voluntary muscle movements. RAGT enables training of automatically programmed normal gait pattern. Patients underwent 30 min of RAGT using SUBAR® and conventional exercise rehabilitation each for 30 min once a day for 5 days a week for 12 weeks.
Treatment:
Other: Robot-assisted Gait Training

Trial contacts and locations

1

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Central trial contact

SO YOUNG JOO, M.D.; Cheong Hoon Seo, M.D.

Data sourced from clinicaltrials.gov

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