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Background: Overground Robot-Assisted Gait Training (o-RAGT) provides intensive gait rehabilitation. This study investigated the efficacy of o-RAGT in subacute stroke subjects, compared to conventional gait training. Methods: A multicenter randomized controlled trial was conducted on 75 subacute stroke subjects (38 in the Experimental Group (EG) and 37 in the Control Group (CG)). Both groups received 15 sessions of gait training (5 sessions/week for 60 min) and daily conventional rehabilitation. The subjects were assessed at the beginning (T1) and end (T2) of the training period with the primary outcome of a 6 Minutes Walking Test (6MWT), the Modified Ashworth Scale of the Affected lower Limb (MAS-AL), the Motricity Index of the Affected lower Limb (MI-AL), the Trunk Control Test (TCT), Functional Ambulation Classification (FAC), a 10 Meters Walking Test (10MWT), the modified Barthel Index (mBI), and the Walking Handicap Scale (WHS). Results: The 6MWT increased in both groups, which was confirmed by both frequentist and Bayesian analyses. Similar outcomes were registered in the MI-AL, 10MWT, mBI, and MAS-AL. The FAC and WHS showed a significant number of subjects improving in functional and community ambulation in both groups at T2. Conclusions: The clinical effects of o-RAGT were similar to conventional gait training in subacute stroke subjects. The results obtained in this study are encouraging and suggest future clinical trials on the topic. [ABSTRACT FROM AUTHOR]

Supplemental digital content is available in the text. Objective: Functional outcome represents the most central objective of rehabilitation programs. Understanding which factors could affect functional status at discharge is crucial for the planning of appropriate treatments in both neurologic and orthopedic patients. The aim of this study was to investigate which clinical and demographic variables, collected at the patient's admission, could influence the functional outcome, assessed by the modified Barthel Index (mBI), at discharge. Design: A retrospective study was conducted on a large cohort (n = 3548) of orthopedic and neurologic patients. Functional, demographic, and clinical records at patient admission and mBI score at discharge were collected. General linear model analysis was performed to assess the influence of these variables on functional outcome at discharge. Results: The results reported a significant effect of mBI score at admission (P < 0.0001), age (P < 0.0001), and time from the acute event (P < 0.0001) on mBI score at discharge. Moreover, the disease type (neurologic or orthopedic) adjusted by sex (male or female) and presence of different impairments (cognitive and behavioral impairments) and complications (hypertension and cardiovascular diseases) significantly influenced mBI score at discharge (P < 0.05) (R 2 = 0.497). No significant interactions between other factors were found (P > 0.05). Conclusion: Several prognostic factors should be considered when planning an appropriate tailored rehabilitation program. [ABSTRACT FROM AUTHOR]

• This randomised controlled trial compared robot-assisted gait training (RAGT) to treadmill training (TT) for people with Parkinson's disease. • RAGT and TT improved overall gait capacity to the same extent. • RAGT was more effective than TT in improving freezing of gait (FOG). • RAGT reduced FOG more in dependent walkers than independent walkers. • Disability level was reduced in freezers more than in non-freezers. Although gait disorders strongly contribute to perceived disability in people with Parkinson's disease, clinical trials have failed to identify which task-oriented gait training method can provide the best benefit. Freezing of gait remains one of the least investigated and most troublesome symptoms. We aimed to compare the effects of robot-assisted gait training and treadmill training on endurance and gait capacity in people with Parkinson disease; the secondary aim was to compare the effect of the treatments in people with freezing and/or severe gait disability and assess changes in overall disease-related disability and quality of life. Outpatients with Parkinson disease (Hoehn and Yahr stage ≥ 2) were randomly assigned to receive 20 sessions of 45-min gait training assisted by an end-effector robotic device (G-EO System) or treadmill training. Outcome assessments were the 6-min walk test, Timed Up and Go test, Freezing of Gait Questionnaire, Unified Parkinson's Disease Rating Scales and Parkinson's Disease Quality of Life Questionnaire-39 administered before (T0) and after treatment (T1). We included 96 individuals with Parkinson disease: 48 with robot-assisted gait training and 48 treadmill training. Both groups showed significant improvement in all outcomes. As compared with baseline, with robot-assisted gait training and treadmill training, endurance and gait capacity were enhanced by 18% and 12%, respectively, and motor symptoms and quality of life were improved by 17% and 15%. The maximum advantage was observed with the Freezing of Gait Questionnaire score, which decreased by 20% after either treatment. On post-hoc analysis, dependent walkers benefited more than independent walkers from any gait training, whereas freezers gained more from robot-assisted than treadmill training in terms of freezing reduction. Repetitive intensive gait training is an effective treatment for people with Parkinson disease and can increase endurance and gait velocity, especially for those with severe walking disability. Advantages are greater with robot-assisted gait training than treadmill training for individuals with freezing of gait – related disability. [ABSTRACT FROM AUTHOR]

• Virtual reality (VR) and serious games (SGs) are widely used in rehabilitation. • VR-based SG balance training and conventional therapy showed similar outcomes. • VR-based SG static balance training seemed to elicit a better gait pattern than conventional therapy. • VR-based SG statistic balance training was safe and well tolerated. • VR-based SG balance training can be used to intensify the rehabilitation treatment. Virtual reality (VR) and serious games (SGs) are widespread in rehabilitation for many orthopedic and neurological diseases. However, few studies have addressed the effects of rehabilitation with VR-based SGs on clinical, gait, and postural outcomes in individuals with total knee replacement (TKR). The primary objective was the efficacy of balance training using non-immersive VR-based SGs compared to conventional therapy in TKR patients on the Time Up and Go test. Secondary objectives included the efficacy on clinical, gait, and postural outcomes. We randomly allocated 56 individuals with unilateral TKR to the experimental group (EG) or control group (CG) for 15 sessions (45 min; 5 times per week) of non-immersive VR-based SGs or conventional balance training, respectively. The primary outcome was functional mobility measured by the Timed Up and Go test; secondary outcomes were walking speed, pain intensity, lower-limb muscular strength, independence in activities of daily living as well as gait and postural parameters. We found significant within-group differences in all clinical outcomes and in a subset of gait (p <0.0001) and postural (p ≤ 0.05) parameters. Analysis of the stance time of the affected limb revealed significant between-group differences (p = 0.022): post-hoc analysis revealed within-group differences in the EG (p = 0.002) but not CG (p = 0.834). We found no significant between-group differences in other outcomes. Balance training with non-immersive VR-based SGs can improve clinical, gait, and postural outcomes in TKR patients. It was not superior to the CG findings but could be considered an alternative to the conventional approach and can be added to a regular rehabilitation program in TKR patients. The EG had a more physiological duration of the gait stance phase at the end of the treatment than the CG. NCT03454256 [ABSTRACT FROM AUTHOR]