The Effect of Mobile Robot Assisted Gait Training on Gait Performance in Chronic Patients With Impaired Gait Function After Burn Injury : Pilot Study
| Registry | NCT07277166 |
|---|---|
| Status | Recruiting |
| Phase | Not applicable |
| Study type | Interventional; na, single group, masking: none, treatment |
| Enrollment | 20 (Estimated) |
| Sponsor | Hangang Sacred Heart Hospital (Other) |
| Conditions | Burns, Gait Dysfunction, Robot Training |
| Interventions | wearable robot training (Other) |
| Dates | start 2025-05-13, primary completion 2026-11-15 (estimated), completion 2026-12-15 (estimated), first posted 2025-12-11, last updated 2025-12-11 |
| Locations | 1 site in South Korea |
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This study aims to examine the clinical effectiveness of gait training using wearable robots in patients with impaired gait function after burn injury. The participants were chronic patients who underwent split-thickness skin grafting or burns of more than 50% of the lower extremities and still had impaired gait dysfunction 6 months later. Eligible participants were aged over 18 years and had a Functional Ambulation Category (FAC) score of 3 or higher. Physiotherapy was performed on a one to one basis by qualified physiotherapists for 1 hour per day, 5 days a week Monday through Friday, for 12 weeks. Assessments were carried out before and immediately after the 12-week training period. Physical ability were assessed using the functional ambulatory category(FAC) scale, the 6-Minute Walk Test (6MWT), and the visual analogue scale (VAS). Spatiotemporal gait parameters-including gait speed, cadence, and step length-and sagittal joint kinematic parameters for the hip, knee, and ankle during stance and swing phases were measured during gait analysis. Pulmonary function test such as forced vital capacity (FVC), 1-s forced expiratory volume (FEV1), and carbon monoxide (DLco). The highest maximal expiratory pressure (MEP) and maximal inspiratory pressure (MIP) value were evaluated.
Regaining a mobility level post-surgery that comes close to the patient's previous mobility as a baseline is the goal. It is commonly accepted that conventional physiotherapy after burn injury has a positive impact on muscle strength, range of motion, pain or gait performance which all impact patient mobility. Wearable robots that assist walking centered on the hip joint of the lower extremities are appearing. This wearable robot is a positive effect in terms of increased energy efficiency and posture during walking. This study aims to examine the clinical effectiveness of gait training using wearable robots in patients with impaired gait function after burn injury. The participants were chronic patients who underwent split-thickness skin grafting or burns of more than 50%of the lower extremities and still had impaired gait dysfunction 6 months later. Eligible participants were aged over 18 years and had a Functional Ambulation Category (FAC) score of 3 or higher. This study excluded patients with fourth-degree burns (involving muscles, tendons, and bone injuries), severe communication disorders because of intellectual impairment and psychological problems. The specific exclusion criteria were as follows. Patients with body types that prevent them form wearing the robot, such as a height of 4.59 feet (140cm) or 5.91 feet (185cm) or more, or severe obesity with a BMI of 35 or more. Patients with heart and circulatory conditions that may affect gait training. Patients at a high risk of falling during gait training, owing to severe dizziness and having experienced a fall within the preceeding 2 month.Physiotherapy was performed on a one to one basis by qualified physiotherapists for 1 hour per day, 5 days a week Monday through Friday, for 12 weeks. Assessments were carried out before and immediately after the 12-week training period. Physical ability were assessed using the functional ambulatory category(FAC) scale, the 6-Minute Walk Test (6MWT), and the visual analogue scale (VAS). Spatiotemporal gait parameters-including gait speed, cadence, and step length-and sagittal joint kinematic parameters for the hip, knee, and ankle during stance and swing phases were measured during gait analysis. Pulmonary function test such as forced vital capacity (FVC), 1-s forced expiratory volume (FEV1), and carbon monoxide (DLco). The highest maximal expiratory pressure (MEP) and maximal inspiratory pressure (MIP) value were evaluated.
| Arm | Type | Interventions | Description |
|---|---|---|---|
| Wearable robot training | Experimental | Other: wearable robot training | The wearable robot (WIRobotics Inc) is a wearable robot designed to provide assistive torque and resistive torque for hip movement. It is worn around the waist and thighs and weight approximately 1.6 kg. The main body and actuation parts are not located at the hip joints and back to avoid restricting body movements and to facilitate movement even in cramped spaces. Physiotherapy was performed on a one to one basis by qualified physiotherapists for 1 hour per day, 5 days a week Monday through Friday, for 12 weeks. |
Sex: All, ages: 19 Years to 65 Years
Inclusion Criteria: * chronic patients who underwent split-thickness skin grafting or burns of more than 50% of the lower extremities and still had impaired gait dysfunction 6 months later. -aged over 18 years * had a Functional Ambulation Category (FAC) score of 3 or higher Exclusion Criteria: * fourth-degree burns (involving muscles, tendons, and bone injuries) * severe communication disorders because of intellectual impairment and psychological problems * Patients with body types that prevent them form wearing the robot, such as a height of 4.59 feet (140cm) or 5.91 feet (185cm) or more, or severe obesity with a BMI of 35 or more. * Patients with heart and circulatory conditions that may affect gait training. * Patients at a high risk of falling during gait training, owing to severe dizziness and having experienced a fall within the preceeding 2 month.
| Facility | City | Country | Status |
|---|---|---|---|
| Hangang sacred heart hodpital | Seoul | South Korea | Recruiting |