井伊 卓真

BACKGROUND: Robot-assisted gait training (RAGT) has proven effective in addressing gait disorders in patients with stroke. However, its efficacy in patients with acute stroke has not yet been demonstrated. This pilot study is designed to evaluate the following: (1) feasibility of conducting a randomized controlled trial on RAGT for enhancing gait postacute stroke and (2) to obtain preliminary estimates regarding the potential efficacy of RAGT for achieving gait independence during the acute phase. METHODS: We will conduct an assessor-blinded, single-center, randomized controlled pilot trial involving 32 patients with acute stroke who are unable to walk. Participants will be randomly assigned to either the RAGT or the conventional gait training (CGT) groups. Each participant will receive 180 min of daily rehabilitation, including 60 min dedicated to gait training. The RAGT group will receive 40 min of RAGT and 20 min of CGT, while the CGT group will engage in 60 min of CGT. Interventions will continue for up to 8 weeks, or until participants achieve gait independence, as indicated by a Functional Ambulation Category score of ≥ 3. Feasibility outcomes will include recruitment, enrollment, protocol adherence, and retention rates. The primary clinical outcome will be the incidence of achieving gait independence during the intervention period. Secondary clinical outcomes will include gait performance measures, assessments of physical function and activity, and intervention dose. Adverse events associated with RAGT and CGT will also be documented to evaluate the safety of both interventions. DISCUSSION: Implementing RAGT during the acute phase of stroke may facilitate earlier attainment of gait independence compared to CGT. We aim to provide valuable insights into the feasibility of the proposed study design and generate preliminary data on the potential effects of RAGT on gait independence in the acute phase of stroke, providing a framework for future larger-scale trials. TRIAL REGISTRATION: This clinical trial was registered with the Japan Clinical Trials Registry (jRCT) on 19 June 2023 (registration number: jRCTs042230040). The study protocol was initially registered as version 1.0 and has since undergone minor amendments-currently on version 4.0. This protocol was written based on the latest version (ver. 4.0) registered with jRCT.

OBJECTIVES: With the recent progression of a super-aging society in Japan, demand for medical and welfare professionals has increased, and occupational therapists are in great demand. Academic performance is important for occupational therapy and rehabilitation students. The current study aimed to determine the influence of self-esteem and psychological factors on academic performance in Japanese occupational therapy students. METHODS: A cross-sectional study was conducted among 60 first-year occupational therapy students (16 male and 44 female) at a private medical university in Japan in June 2022. The State-Trait Anxiety Inventory (STAI) and Beck Depression Inventory Second Edition (BDI-II) were used to assess anxiety and depression symptoms, respectively, and the Rosenberg Self-Esteem Scale (RSES) was used to assess self-esteem. RESULTS: We identified several factors affecting the examination performance of Japanese occupational therapy students. Self-esteem was significantly associated with examination performance in anatomy 1 (p=0.02, β=0.40). RSES-J social work (p=0.07, β=0.31) and anatomy 2 (p=0.08, β=0.30), STAI-JYZ (p=0.09, β=0.38), and STAI-JYZ rehabilitation medicine (p=0.06, β=0.44), and BDI-II (p=0.08, β=-0.43) showed no significant effects but exhibited a trend toward an association. CONCLUSIONS: Understanding the role of psychological aspects and self-esteem is important for constructing systems to support first-year university students. Furthermore, the development of psychological aspects and self-esteem is essential for improving the academic performance of occupational therapy students, and it is crucial to establish educational programs and support systems.

BACKGROUND: Robot-assisted gait training (RAGT) is an effective method for treating gait disorders in individuals with stroke. However, no previous studies have demonstrated the effectiveness of RAGT in individuals with acute stroke. This study aimed to investigate the effects of RAGT initiation within 1 week after onset on degree of gait independence in individuals with hemiparetic stroke. METHODS: This retrospective cohort study used propensity-score matching. Individuals admitted to Fujita Health University Hospital after stroke onset and underwent RAGT between March 2017 and June 2023 were enrolled. Ninety-two individuals were eligible and grouped into the acute (≤ 7 days after the onset) and subacute groups (8-90 days after onset). RAGT was conducted using Welwalk, primarily comprising a knee-ankle-foot orthosis type robot worn on one paralyzed lower extremity, with training sessions lasting approximately 40 min/day, occurring 3-7 days/week. The primary outcome was the gait under supervision within 90 days of onset, which was compared between groups using the log-rank test. RESULTS: After propensity-score matching, 36 individuals were included in the analysis, including 18 each in the acute and subacute groups; the participant demographics were not significantly different between the groups. RAGT was initiated at a median of 6 and 25 days after onset in the acute and subacute groups, respectively. The Kaplan-Meier curves after the log-rank test showed a significantly higher percentage and shorter median days to achieve gait under supervision in the acute group than in the subacute group. The cumulative incidence of gait under supervision events at 90 days after onset was 82.2% and 55.6% in the acute and the subacute groups, respectively. Half of the individuals achieved gait under supervision within 49 days and 75 days in the acute and subacute groups, respectively (p = 0.038). No significant differences were observed in the dose of rehabilitation program and gait training per day from onset to achieving gait under supervision. CONCLUSION: Initiation of RAGT within 1 week after stroke onset in individuals with hemiparesis may reduce the number of days required to achieve gait under supervision and increase the percentage of gait under supervision.

Background/Objectives: Clinical trials have investigated the efficacy of rehabilitation robotics for various pathological conditions, but the overall impact on rehabilitation practice remains unclear. We comprehensively examined and analyzed systematic reviews (SRs) of randomized controlled trials (RCTs) investigating rehabilitative interventions with robotic devices. Methods: Four databases were searched using term combinations of keywords related to robotic devices, rehabilitation, and SRs. The SR meta-analyses were categorized into “convincing”, “highly suggestive”, “suggestive”, “weak”, or “non-significant” depending on evidence strength and validity. Results: Overall, 62 SRs of 341 RCTs involving 14,522 participants were identified. Stroke was most frequently reported (40 SRs), followed by spinal cord injury (eight SRs), multiple sclerosis (four SRs), cerebral palsy (four SRs), Parkinson’s disease (three SRs), and neurological disease (any disease causing limited upper- and lower-limb functioning; three SRs). Furthermore, 38, 21, and 3 SRs focused on lower-limb devices, upper-limb devices, and both upper- and lower-limb devices, respectively. Quantitative synthesis of robotic intervention effects was performed by 51 of 62 SRs. Robot-assisted training was effective for various outcome measures per disease. Meta-analyses offering suggestive evidence were limited to studies on stroke. Upper-limb devices were effective for motor control and activities of daily living, and lower-limb devices for walking independence in stroke. Conclusions: Robotic devices are useful for improving impairments and disabilities in several diseases. Further high-quality SRs including RCTs with large sample sizes and meta-analyses of these RCTs, particularly on non-stroke-related diseases, are required. Further research should also ascertain which type of robotic device is the most effective for improving each specific impairment or disability.