Jeannine Bergmann1,2, Carmen Krewer3, Petra Bauer3,4, Alexander Koenig5, Robert Riener5,6, Friedemann Müller3,7. 1. Schoen Klinik Bad Aibling, Bad Aibling, Germany - JBergmann@Schoen-Kliniken.de. 2. German Center for Vertigo and Balance Disorders (DSGZ), Ludwig-Maximilians-University of Munich, Munich, Germany - JBergmann@Schoen-Kliniken.de. 3. Schoen Klinik Bad Aibling, Bad Aibling, Germany. 4. Faculty of Applied Healthcare and Social Sciences, University of Applied Sciences, Rosenheim, Germany. 5. Sensory-Motor Systems Lab, ETH Zurich, Zurich, Switzerland. 6. Spinal Cord Injury Center, Balgrist University Hospital, Zurich, Switzerland. 7. German Center for Vertigo and Balance Disorders (DSGZ), Ludwig-Maximilians-University of Munich, Munich, Germany.
Abstract
BACKGROUND: Active performance is crucial for motor learning, and, together with motivation, is believed to be associated with a better rehabilitation outcome. Virtual reality (VR) is an innovative approach to engage and motivate patients during training. There is promising evidence for its efficiency in retraining upper limb function. However, there is insufficient proof for its effectiveness in gait training. AIM: To evaluate the acceptability of robot-assisted gait training (RAGT) with and without VR and the feasibility of potential outcome measures to guide the planning of a larger randomized controlled trial (RCT). DESIGN: Single-blind randomized controlled pilot trial with two parallel arms. SETTING: Rehabilitation hospital. POPULATION: Twenty subacute stroke patients (64±9 years) with a Functional Ambulation Classification (FAC) ≤2. METHODS: Twelve sessions (over 4 weeks) of either VR-augmented RAGT (intervention group) or standard RAGT (control group). Acceptability of the interventions (drop-out rate, questionnaire), patients' motivation (Intrinsic Motivation Inventory [IMI], individual mean walking time), and feasibility of potential outcome measures (completion rate and response to interventions) were determined. RESULTS: We found high acceptability of repetitive VR-augmented RAGT. The drop-out rate was 1/11 in the intervention and 4/14 in the control group. Patients of the intervention group spent significantly more time walking in the robot than the control group (per session and total walking time; P<0.03). In both groups, motivation measured with the IMI was high over the entire intervention period. The felt pressure and tension significantly decreased in the intervention group (P<0.01) and was significantly lower than in the control group at the last therapy session (r=-0.66, P=0.005). The FAC is suggested as a potential primary outcome measure for a definitive RCT, as it could be assessed in all patients and showed significant response to interventions (P<0.01). We estimated a sample size of 44 for a future RCT. CONCLUSIONS:VR-augmented RAGT resulted in high acceptability and motivation, and in a reduced drop-out rate and an extended training time compared to standard RAGT. This pilot trial provides guidance for a prospective RCT on the effectiveness of VR-augmented RAGT. CLINICAL REHABILITATION IMPACT: VR might be a promising approach to enrich and improve gait rehabilitation after stroke.
RCT Entities:
BACKGROUND: Active performance is crucial for motor learning, and, together with motivation, is believed to be associated with a better rehabilitation outcome. Virtual reality (VR) is an innovative approach to engage and motivate patients during training. There is promising evidence for its efficiency in retraining upper limb function. However, there is insufficient proof for its effectiveness in gait training. AIM: To evaluate the acceptability of robot-assisted gait training (RAGT) with and without VR and the feasibility of potential outcome measures to guide the planning of a larger randomized controlled trial (RCT). DESIGN: Single-blind randomized controlled pilot trial with two parallel arms. SETTING: Rehabilitation hospital. POPULATION: Twenty subacute strokepatients (64±9 years) with a Functional Ambulation Classification (FAC) ≤2. METHODS: Twelve sessions (over 4 weeks) of either VR-augmented RAGT (intervention group) or standard RAGT (control group). Acceptability of the interventions (drop-out rate, questionnaire), patients' motivation (Intrinsic Motivation Inventory [IMI], individual mean walking time), and feasibility of potential outcome measures (completion rate and response to interventions) were determined. RESULTS: We found high acceptability of repetitive VR-augmented RAGT. The drop-out rate was 1/11 in the intervention and 4/14 in the control group. Patients of the intervention group spent significantly more time walking in the robot than the control group (per session and total walking time; P<0.03). In both groups, motivation measured with the IMI was high over the entire intervention period. The felt pressure and tension significantly decreased in the intervention group (P<0.01) and was significantly lower than in the control group at the last therapy session (r=-0.66, P=0.005). The FAC is suggested as a potential primary outcome measure for a definitive RCT, as it could be assessed in all patients and showed significant response to interventions (P<0.01). We estimated a sample size of 44 for a future RCT. CONCLUSIONS: VR-augmented RAGT resulted in high acceptability and motivation, and in a reduced drop-out rate and an extended training time compared to standard RAGT. This pilot trial provides guidance for a prospective RCT on the effectiveness of VR-augmented RAGT. CLINICAL REHABILITATION IMPACT: VR might be a promising approach to enrich and improve gait rehabilitation after stroke.
Authors: Laura Marchal-Crespo; Panagiotis Tsangaridis; David Obwegeser; Serena Maggioni; Robert Riener Journal: Front Neurosci Date: 2019-02-19 Impact factor: 4.677