The effects of body weight-supported treadmill training on static and dynamic balance in stroke patients: A pilot, single-blind, randomized trial

Effects of body weight support training on balance and walking function in stroke patients: a systematic review and meta-analysis

Objective

To comprehensively and quantitatively evaluate the impact of body weight support training (BWST) on balance and gait function in stroke patients based on an evidence-based basis and to identify the most effective intervention strategies.

Methods

PubMed, Web of Science, The Cochrane Library, CNKI, Wanfang, and Chinese SinoMed Database were searched until November 25, 2023. Quality assessment and meta-analysis were performed using RevMan 5.2 and Stata 14.0 software.

Results

A total of 31 randomized controlled trials involving 1,918 patients were included in the study. The meta-analysis demonstrated that body weight support training (BWST) significantly improved Berg Balance Scale (BBS) scores (MD = 3.60; 95% CI: 1.23 to 5.98; p = 0.003), gait speed (SMD = 0.77; 95% CI: 0.38 to 1.15; p < 0.0001), and step length (SMD = 0.46; 95% CI: 0.19 to 0.72; p = 0.0008) in stroke patients compared to conventional rehabilitation. For enhancing balance function, the most effective interventions were identified as a disease duration of 3-6 months (MD = 5.16; 95% CI: 0.76 to 9.57; p = 0.02), intervention time of 4-8 weeks (MD = 5.70; 95% CI: 2.90 to 8.50; p < 0.0001), a maximum body weight support level above 30% (MD = 3.80; 95% CI: 1.48 to 6.13; p = 0.001), and a maximum training walking speed of 0.2 m/s or more (MD = 4.66; 95% CI: 0.37 to 9.70; p = 0.03). For improving walking function, the optimal interventions were also a disease duration of 3-6 months (gait speed: SMD = 0.59; 95% CI: 0.15 to 1.03; p = 0.008; step length: SMD = 0.27; 95% CI: 0.06 to 0.56; p = 0.04), intervention time of 4-8 weeks (gait speed: SMD = 1.01; 95% CI: 0.44 to 1.59; p = 0.0006; step length: SMD = 0.83; 95% CI: 0.54 to 1.12; p < 0.00001), a maximum body weight support level above 30% (gait speed: SMD = 0.79; 95% CI: 0.36 to 1.22; p = 0.0003; step length: SMD = 0.79; 95% CI: 0.47 to 1.11; p < 0.00001), and a maximum training walking speed of 0.2 m/s or more (gait speed: SMD = 1.26; 95% CI: 0.62 to 1.90; p = 0.0001; step length: SMD = 0.85; 95% CI: 0.38 to 1.31; p = 0.0003).

Conclusion

Compared with conventional rehabilitation training, BWST demonstrates superior efficacy in enhancing balance and walking function in stroke patients, with a consistent optimal intervention strategy. The most effective program includes a disease duration of 3-6 months, an intervention period of 4-8 weeks, a maximum body weight support of 30% or more, and a maximum training walking speed of 0.2 m/s or greater.

Systematic review registration

http://www.crd.york.ac.uk/PROSPERO/, identifier: CRD42022358963.

The Effectiveness of Overground Robot Exoskeleton Gait Training on Gait Outcomes, Balance, and Motor Function in Patients with Stroke: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

OBJECTIVE

This study aimed to investigate the effects of overground robot exoskeleton gait training on gait outcomes, balance, and motor function in patients with stroke.

METHODS

Following the PRISMA guidelines, literature searches were performed in the PubMed, EMBASE, Cochrane Central Register of Controlled Trials, SCOPUS, Ovid-LWW, and RISS databases. A total of 504 articles were identified, of which 19 were included for analysis after application of the inclusion and exclusion criteria. The included literature was qualitatively evaluated using the PEDro scale, while the Egger's regression, funnel plot, and trim-and-fill methods were applied to assess and adjust for publication bias.

RESULTS

The averaged PEDro score was 6.21 points, indicating a high level of methodological quality. In the analysis based on dependent variables, higher effect sizes were observed in the following ascending order: gait speed (g = 0.26), motor function (g = 0.21), gait ability (g = 0.18), Timed Up and Go Test (g = -0.15), gait endurance (g = 0.11), and Berg Balance Scale (g = 0.05). Subgroup analyses further revealed significant differences in Asian populations (g = 0.26), sessions lasting longer than 30 min (g = 0.37), training frequency of three times per week or less (g = 0.38), and training duration of four weeks or less (g = 0.25). Overall, the results of this study indicate that overground robot exoskeleton gait training is effective at improving gait speed in patients with stroke, particularly when the sessions exceed 30 min, are conducted three times or less per week, and last for four weeks or less.

CONCLUSION

our results suggest that training is an effective intervention for patients with stroke, provided that appropriate goal-setting and intensity and overground robot exoskeleton gait are applied.

The effect of exercise on balance function in stroke patients: a systematic review and meta-analysis of randomized controlled trials

OBJECTIVE

A growing body of studies has examined the effect of exercise on balance function in stroke patients, with conflicting findings. This study aimed to investigate the effect of exercise on balance function in stroke patients and to determine the optimal exercise prescription for stroke patients.

METHODS

We conducted an extensive search across various databases, including PubMed, Web of Science, EBSCO, Cochrane, and Scopus. The search was conducted until March 11th, 2024. Data were pooled using the weighted mean difference (WMD) and 95% confidence interval.

RESULTS

Twenty-nine studies fulfilled the inclusion criteria. Exercise significantly improved Berg balance scale (BBS, WMD, 5.24, P < 0.00001) and timed up and go test (TUG, WMD, - 2.91, P < 0.00001) in stroke patients. Subgroup analyses showed that aerobic exercise (WMD, 6.71, P = 0.003), exercise conducted ≥ 8 weeks (WMD, 6.43, P < 0.00001), > 3 times per week (WMD, 6.18, P < 0.00001), ≥ 60 min per session (WMD, 6.40, P < 0.0001), and ≥ 180 min per week (WMD, 7.49, P < 0.00001) were more effective in improving BBS.

CONCLUSIONS

Exercise improved balance function in stroke patients, and aerobic exercise might be the most effective intervention. To improve balance function, this meta-analysis provides clinicians with evidence to recommend that stroke patients participate in a minimum of 8 weeks of exercise at least 3 times per week for more than 60 min per session, with a goal of 180 min per week being achieved by increasing the frequency of exercise.

The effectiveness of bodyweight-supported treadmill training in stroke patients: randomized controlled trial

OBJECTIVE

This study aimed to assess the impact of conventional rehabilitation (CR) and the combination of bodyweight-supported treadmill training (BWSTT) with CR on walking speed, endurance, balance, mobility, and the quality of life in stroke survivors.

METHOD

In this prospective, randomized, controlled, and single-blind study, 30 stroke patients were included (ClinicalTrials.gov registration number: NCT04597658 date: October 22, 2020). These patients were divided into two groups: (1) CR only (control group, n = 14) and (2) CR with BWSTT (experimental group, n = 16). Both groups received CR for 3 consecutive weeks, 5 days a week, for 30 min each day. The experimental group received an additional 30 min of BWSTT per session. Patients were evaluated using the 10-m walk test (10MWT), the six-minute walk test (6MWT), the Tinetti Balance and Gait Assessment Score, the Timed Up and Go (TUG) test, the Rivermead Mobility Index (RMI), and the Stroke-Specific Quality of Life Scale (SS-QOL) before and after the intervention.

RESULTS

Both groups showed significant improvements across all scales after the intervention. The BWSTT group exhibited particularly noteworthy enhancements in comfortable 10MWT and TUG scores (p = 0.043 and p = 0.025, respectively) compared to the CR group post-intervention.

CONCLUSION

In conclusion, a holistic approach combining conventional physiotherapy with overground gait training can enhance various aspects of mobility. This approach offers a cost-effective and equipment-free alternative to BWSTT and necessitates specialized treadmill and bodyweight support systems, incurring higher costs. However, using BWSTT as a co-therapy therapy can be costly but provides additional benefits for enhancing functional mobility.

Effects of Virtual Reality-Assisted and Overground Gait Adaptation Training on Balance and Walking Ability in Stroke Patients: A Randomized Controlled Trial

OBJECTIVE

This study compared the effects of virtual reality-assisted gait adaptation training with the overground gait adaptation training on balance and walking in patients with stroke.

METHODS

Fifty-four eligible patients were enrolled. All patients were randomly divided into a virtual reality and control group, with 27 patients in each group. The virtual reality group received virtual reality-assisted training on the treadmill, whereas the control group received overground training in a physical therapy room. After the intervention, patients were assessed using walking speed, obstacle avoidance ability, Timed Up and Go test, postural stability, and the Barthel Index.

RESULTS

Significant improvements in walking speed, obstacle avoidance ability, Timed Up and Go test, and eye-opening center of pressure speed were observed after the intervention ( P < 0.05). No statistically significant differences were found in eye-closing center of pressure speed, tandem center of pressure speed, single-leg center of pressure speed, and Barthel Index ( P > 0.05).

CONCLUSIONS

Stroke patients may benefit from virtual reality-assisted gait adaptation training in improving walking and static balance function and reducing the risk of falls.

Contributing factors and interventions for fear of falling in stroke survivors: a systematic review

OBJECTIVES

The purpose of this study was to provide a comprehensive overview of the prevalence, measurement tools, influencing factors, and interventions for fear of falling (FOF) in stroke survivors.

METHODS

A PRISMA-guided systematic literature review was conducted. PubMed, EMBASE, Cochrane, and Web of Science were systematically searched. The search time was up to February 2023. All observational and experimental studies investigating FOF in stroke patients were included. The assessment tool of the Joanna Briggs Institute was used to assess the quality of the included studies and the risk of bias assessment. (PROSPERO: CRD42023412522).

RESULT

A total of 25 observational studies and 10 experimental studies were included. The overall quality of the included studies was "low" to "good." The most common tool used to measure the FOF was the Falls Efficacy Scale-International (FES-I). The prevalence of FOF was 42%- 93.8%. Stroke survivors with physical impairments have the highest prevalence of FOF. The main risk factors for the development of FOF in stroke survivors were female gender, use of assistive devices, balance, limb dysfunction, and functional mobility. The combination of cognitive behavioral and exercise interventions is the most effective strategy.

CONCLUSIONS

This review suggests that the prevalence of FOF in stroke survivors is high and that understanding the factors associated with FOF in stroke patients can help develop multifactorial prevention strategies to reduce FOF and improve quality of life. In addition, a uniform FOF measurement tool should be used to better assess the effectiveness of interventions for stroke survivors.

ETHICS APPROVAL

PROSPERO registration (CRD42023412522).

A comparison of the immediate effects of the Andago over ground body weight support trainer versus over ground walking on selected gait parameters in a post-acute rehabilitation population

BACKGROUND

The Andago is an electromechanical gait trainer providing dynamic body weight support while simultaneously enabling over ground walking. The aim of this study was to compare the effects of the Andago with over ground walking on selected gait parameters, during a single gait reeducation session in a post-acute rehabilitation population.

METHODS

Twenty-seven participants (mean age 78 yrs. (SD = 9.2), female 55.6% (n = 15)) undergoing rehabilitation for neurological (51.8%, n = 14), orthopedic (33.3%, n = 9), and medical conditions (14.8%, n = 4) completed the study. This was a single group, cross sectional, repeated measures study. Participants completed a 10-meter walk test (10MWT) and a 20-minute gait reeducation session under two conditions: i) harnessed in the Andago with body weight support or ii) using their normal walking pattern. Walking speed, steps taken, distance walked, rest breaks, Borg ratings of perceived exertion, and fear of falling were compared over both conditions.

RESULTS

Walking speed was significantly slower with the Andago (10MWT mean difference 0.12 (95% CI 0.03-0.20), eta squared 0.24, p = .008; 20-min gait mean difference 0.04 (95% CI 0.00-0.09), eta squared 0.15, p = .049). During the 20-minute gait reeducation session, step count, distance walked, and duration of walking was similar over both conditions, however participants recorded less rest breaks and fear of falling at minutes 10 and 20 in favor of the Andago.

CONCLUSION

Gait parameters measured during a single gait reeducation session in the Andago, in a mixed cohort of predominately older rehabilitation patients, appear comparable to conventional over ground training, other than walking speed which was reduced.

Wii Fit-Based Biofeedback Rehabilitation Among Post-Stroke Patients: A Systematic Review and Meta-Analysis of Randomized Controlled Trial

BACKGROUND

Stroke is one of the most widespread reasons for acquired adult disability. Recent experimental studies have reported the beneficial influence of Wii Fit-based feedback on improving overall balance and gait for stroke survivors.

METHODS

We conducted a systematic review of the literature using the following keywords to retrieve the data: feedback, biofeedback, stroke, visual, auditory, tactile, virtual reality, videogame rehabilitation, Nintendo Wii stroke, videogame stroke, exergame stroke, Nintendo Wii rehabilitation, balance, and gait. A review and meta-analysis of RCTs regarding Wii Fit-based rehabilitation accompanied by conventional therapy effects on Berg Balance Scale (BBS), Timed Up and Go (TUG), functional reach test, and gait (speed) in stroke survivors was conducted.

OBJECTIVE

To determine the impacts of Wii Fit-based feedback combined with traditional therapy on balance and gait in stroke survivors.

RESULTS

22 studies were included. The meta-analysis results revealed statistically significant improvements in functional ambulation measured using TUG (p < 0.0001), balance measured using BBS (p = 0.0001), and functional reach test (p = 0.01), but not in gait speed (p = 0.32) following Wii Fit-based feedback. Regarding the types of feedback, significant differences were found in BBS scores when mixed visual and auditory feedback was used.

CONCLUSION

Wii Fit-based feedback has desired effects on improving balance in stroke patients, making it a suitable adjunct to physical therapy.

The effect of the Lokomat® robotic-orthosis system on lower extremity rehabilitation in patients with stroke: a systematic review and meta-analysis

Background

The Lokomat® is a device utilized for gait training in post-stroke patients. Through a systematic review, the objective was to determine whether robot-assisted gait training with the Lokomat® is more effective in enhancing lower extremity rehabilitation in patients with stroke in comparison to conventional physical therapy (CPT).

Methods

In this study, a systematic search was conducted in various databases, including CINAHL, MEDLINE, PubMed, Embase, Cochrane Library, Scopus, Web of Science, and Physiotherapy Evidence Database (PEDro), as well as bibliographies of previous meta-analyses, to identify all randomized controlled trials that investigated the use of Lokomat® devices in adult stroke patients. The study aimed to derive pooled estimates of standardized mean differences for six outcomes, namely, Fugl-Meyer Assessment lower-extremity subscale (FMA-LE), Berg Balance Scale (BBS), gait speed, functional ambulation category scale (FAC), timed up and go (TUG), and functional independence measure (FIM), through random effects meta-analyses.

Results

The review analyzed 21 studies with a total of 709 participants and found that the use of Lokomat® in stroke patients resulted in favorable outcomes for the recovery of balance as measured by the BBS (mean difference = 2.71, 95% CI 1.39 to 4.03; p < 0.0001). However, the FAC showed that Lokomat® was less effective than the CPT group (mean difference = -0.28, 95% CI -0.45 to 0.11, P = 0.001). There were no significant differences in FMA-LE (mean difference = 1.27, 95% CI -0.88 to 3.42, P = 0.25), gait speed (mean difference = 0.02, 95% CI -0.03 to 0.07, P = 0.44), TUG (mean difference = -0.12, 95% CI -0.71 to 0.46, P = 0.68), or FIM (mean difference = 2.12, 95% CI -2.92 to 7.16, P = 0.41) between the Lokomat® and CPT groups for stroke patients.

Conclusion

Our results indicate that, with the exception of more notable improvements in balance, robot-assisted gait training utilizing the Lokomat® was not superior to CPT based on the current literature. Considering its ability to reduce therapists' work intensity and burden, the way in which Lokomat® is applied should be strengthened, or future randomized controlled trial studies should use more sensitive assessment criteria.

Comparative efficacy of gait training for balance outcomes in patients with stroke: A systematic review and network meta-analysis

Background

Growing evidence suggests that gait training can improve stroke patients’ balance outcomes. However, it remains unclear which type of gait training is more effective in improving certain types of balance outcomes in patients with stroke. Thus, this network meta-analysis (NMA) included six types of gait training (treadmill, body-weight-supported treadmill, virtual reality gait training, robotic-assisted gait training, overground walking training, and conventional gait training) and four types of balance outcomes (static steady-state balance, dynamic steady-state balance, proactive balance, and balance test batteries), aiming to compare the efficacy of different gait training on specific types of balance outcomes in stroke patients and determine the most effective gait training.

Method

We searched PubMed, Embase, Medline, Web of Science, and Cochrane Library databases from inception until 25 April 2022. Randomized controlled trials (RCTs) of gait training for the treatment of balance outcomes after stroke were included. RoB2 was used to assess the risk of bias in the included studies. Frequentist random-effects network meta-analysis (NMA) was used to evaluate the effect of gait training on four categories of balance outcomes.

Result

A total of 61 RCTs from 2,551 citations, encompassing 2,328 stroke patients, were included in this study. Pooled results showed that body-weight-support treadmill (SMD = 0.30, 95% CI [0.01, 0.58]) and treadmill (SMD = 0.25, 95% CI [0.00, 0.49]) could improve the dynamic steady-state balance. Virtual reality gait training (SMD = 0.41, 95% CI [0.10, 0.71]) and body-weight-supported treadmill (SMD = 0.41, 95% CI [0.02, 0.80]) demonstrated better effects in improving balance test batteries. However, none of included gait training showed a significant effect on static steady-state balance and proactive balance.

Conclusion

Gait training is an effective treatment for improving stroke patients’ dynamic steady-state balance and balance test batteries. However, gait training had no significant effect on static steady-state balance and proactive balance. To achieve maximum efficacy, clinicians should consider this evidence when recommending rehabilitation training to stroke patients. Considering body-weight-supported treadmill is not common for chronic stroke patients in clinical practice, the treadmill is recommended for those who want to improve dynamic steady-state balance, and virtual reality gait training is recommended for those who want to improve balance test batteries.

Limitation

Missing evidence in relation to some types of gait training is supposed to be taken into consideration. Moreover, we fail to assess reactive balance in this NMA since few included trials reported this outcome.

Systematic Review Registration

PROSPERO, identifier CRD42022349965.

Is Leg-Driven Treadmill-Based Exoskeleton Robot Training Beneficial to Poststroke Patients: A Systematic Review and Meta-analysis

OBJECTIVE

The aim of the study is to systematically review the effects of leg-driven treadmill-based exoskeleton robot training on balance and walking ability in poststroke patients.

DESIGN

The PubMed, Cochrane Library, Embase, Web of Science, Medline, CNKI, VIP, and Wanfang databases were searched from inception to August 2021. The literature quality was evaluated using Cochrane Handbook. Primary outcomes include the Functional Ambulation Category Scale and Berg Balance Scale, and secondary outcomes include the 10 meter walk test, 6 minute walk test, and gait assessment cadence were analyzed.

RESULTS

Seventeen randomized controlled trials were included in the systematic review, 15 studies in meta-analysis. Primary outcomes showed no significant difference in the Functional Ambulation Category Scale score; subgroup with the exoskeleton robot + conventional therapy of the Berg Balance Scale score was significantly increased; secondary outcomes showed no significance in 6 minute walk test or 10 meter walk test. The cadence score increased for the subgroup with an onset of more than 6 mos in the treatment group. The control group performed better than the subgroup with an onset of less than 6 mos.

CONCLUSIONS

Leg-driven treadmill-based exoskeleton robot training can improve balance function in poststroke patients and is beneficial for patients with an onset of greater than 6 mos. However, there is no evidence to support the efficacy of walking ability.

Effect of physical exercise on fear of falling in patients with stroke: A systematic review and meta-analysis

OBJECTIVE

To consolidate the evidence on the effect of physical exercise on fear of falling in individuals with stroke.

DATA SOURCES

PubMed, CINAHL, Cochrane Database and MEDLINE.

METHODS

An extensive database search was conducted to identify the randomised controlled trials that examined the effect of physical exercise on fear of falling post-stroke. Grading of Recommendation, Assessment, Development and Evaluation (GRADE) was used to assess the quality of evidence for each meta-analysis.

RESULTS

Fourteen trials totalling 1211 participants were included in this review. Thirteen of these (1180 participants) were included in the meta-analyses. In the primary analysis, very low-quality evidence suggested that exercise reduced fear of falling post-stroke (standardized mean difference (SMD) 0.48; 95% confidence interval (CI) 0.23 to 0.72). The effect was diminished at three- to six-month follow-up after exercise training ended (SMD -0.09; 95% CI -0.27 to 0.10; high-quality evidence). In the sensitivity analyses, the treatment effect was more pronounced in individuals with a lower baseline Berg balance score (BBS ≤45; SMD 0.53; 95%CI 0.17 to 0.88) and for those trials with exercise frequency of ≥3 sessions per week (SMD 0.70; 95%CI 0.39 to 1.01). Compared with circuit-based training consisting of a combination of walking, balance and strengthening exercises (SMD 0.27; 95% CI -0.09 to 0.63), walking programmes seemed to generate a larger effect on fear of falling (SMD 1.06; 95%CI 0.43 to 1.70).

CONCLUSION

Physical exercise was beneficial for reducing fear of falling in individuals with stroke, particularly those with poorer balance ability.

Balance Rehabilitation through Robot-Assisted Gait Training in Post-Stroke Patients: A Systematic Review and Meta-Analysis

BACKGROUND

Balance impairment is a common disability in post-stroke survivors, leading to reduced mobility and increased fall risk. Robotic gait training (RAGT) is largely used, along with traditional training. There is, however, no strong evidence about RAGT superiority, especially on balance. This study aims to determine RAGT efficacy on balance of post-stroke survivors.

METHODS

PubMed, Cochrane Library, and PeDRO databases were investigated. Randomized clinical trials evaluating RAGT efficacy on post-stroke survivor balance with Berg Balance Scale (BBS) or Timed Up and Go test (TUG) were searched. Meta-regression analyses were performed, considering weekly sessions, single-session duration, and robotic device used.

RESULTS

A total of 18 trials have been included. BBS pre-post treatment mean difference is higher in RAGT-treated patients, with a pMD of 2.17 (95% CI 0.79; 3.55). TUG pre-post mean difference is in favor of RAGT, but not statistically, with a pMD of -0.62 (95%CI - 3.66; 2.43). Meta-regression analyses showed no relevant association, except for TUG and treatment duration (β = -1.019, 95% CI - 1.827; -0.210, p-value = 0.0135).

CONCLUSIONS

RAGT efficacy is equal to traditional therapy, while the combination of the two seems to lead to better outcomes than each individually performed. Robot-assisted balance training should be the focus of experimentation in the following years, given the great results in the first available trials. Given the massive heterogeneity of included patients, trials with more strict inclusion criteria (especially time from stroke) must be performed to finally define if and when RAGT is superior to traditional therapy.

Associations Between Time After Stroke and Exercise Training Outcomes: A Meta-Regression Analysis

Background Knowledge gaps exist regarding the effect of time elapsed after stroke on the effectiveness of exercise training interventions, offering incomplete guidance to clinicians. Methods and Results To determine the associations between time after stroke and 6-minute walk distance, 10-meter walk time, cardiorespiratory fitness and balance (Berg Balance Scale score [BBS]) in exercise training interventions, relevant studies in post-stroke populations were identified by systematic review. Time after stroke as continuous or dichotomized (≤3 months versus >3 months, and ≤6 months versus >6 months) variables and weighted mean differences in postintervention outcomes were examined in meta-regression analyses adjusted for study baseline mean values (pre-post comparisons) or baseline mean values and baseline control-intervention differences (controlled comparisons). Secondary models were adjusted additionally for mean age, sex, and aerobic exercise intensity, dose, and modality. We included 148 studies. Earlier exercise training initiation was associated with larger pre-post differences in mobility; studies initiated ≤3 months versus >3 months after stroke were associated with larger differences (weighted mean differences [95% confidence interval]) in 6-minute walk distance (36.3 meters; 95% CI, 14.2-58.5), comfortable 10-meter walk time (0.13 m/s; 95% CI, 0.06-0.19) and fast 10-meter walk time (0.16 m/s; 95% CI, 0.03-0.3), in fully adjusted models. Initiation ≤3 months versus >3 months was not associated with cardiorespiratory fitness but was associated with a higher but not clinically important Berg Balance Scale score difference (2.9 points; 95% CI, 0.41-5.5). In exercise training versus control studies, initiation ≤3 months was associated with a greater difference in only postintervention 6-minute walk distance (baseline-adjusted 27.3 meters; 95% CI, 6.1-48.5; fully adjusted, 24.9 meters; 95% CI, 0.82-49.1; a similar association was seen for ≤6 months versus >6 months after stroke (fully adjusted, 26.6 meters; 95% CI, 2.6-50.6). Conclusions There may be a clinically meaningful benefit to mobility outcomes when exercise is initiated within 3 months and up to 6 months after stroke.

The Effect of Robotic Assisted Gait Training With Lokomat® on Balance Control After Stroke: Systematic Review and Meta-Analysis

Introduction: Disturbances of balance control are common after stroke, affecting the quality of gait and increasing the risk of falls. Because balance and gait disorders may persist also in the chronic stage, reducing individual independence and participation, they represent primary goals of neurorehabilitation programs. For this purpose, in recent years, numerous technological devices have been developed, among which one of the most widespread is the Lokomat®, an actuated exoskeleton that guide the patient's limbs, simulating a symmetrical bilateral gait. Preliminary evidence suggests that beyond gait parameters, robotic assisted gait training may also improve balance. Therefore, the aim of this systematic review was to summarize evidence about the effectiveness of Lokomat® in improving balance in stroke patients.

Methods: Randomized controlled trials published between January 1989 and August 2020, comparing Lokomat® training to conventional therapy for stroke patients, were retrieved from seven electronic databases. Balance, assessed by means of validated clinical scales, was considered as outcome measure. The Physiotherapy Evidence Database (PEDro) scale was used to evaluate the methodological quality of the studies. The study protocol was registered on PROSPERO (no. CRD42020197531).

Results: After the removal of the duplicates, according to the inclusion criteria, 13 studies were selected, involving 445 subacute or chronic stroke patients. Eleven papers contributed to three meta-analyses. Favorable results for recovery of balance in stroke survivors treated with Lokomat® were shown using Timed Up and Go (pooled mean difference = −3.40, 95% CI −4.35 to −2.44; p < 0.00001) and Rivermead Mobility Index as outcome measures (pooled mean difference = 0.40, 95% CI 0.26–0.55; p < 0.00001). Inconclusive results were found when balance was measured by means of the Berg Balance Scale (pooled mean difference = 0.17, 95% CI −0.26 to 0.60; p = 0.44).

Conclusions: Overall, most studies have shown beneficial effects of Lokomat® on balance recovery for stroke survivors, at least comparable to conventional physical therapy. However, due to the limited number of studies and their high heterogeneity, further research is needed to draw more solid and definitive conclusions.

Caregiver burden in stroke inpatients: a randomized study comparing robot-assisted gait training and conventional therapy

The effects of caregiver burden during the inpatient rehabilitation period have not yet been investigated. The purpose of this study was to evaluate the burden on stroke survivors' caregivers during the inpatient rehabilitation period, and to compare the associations of robot-assisted gait training and conventional therapy with caregiver burden. Our randomized, crossover, prospective study included 63 stroke survivors and their caregivers, who were randomly assigned to one of two groups. The patients in group I received robot-assisted gait training for 2 weeks, followed by conventional therapy for a further 2 weeks. The patients in group II received conventional therapy for 2 weeks followed by robot-assisted gait training for a further 2 weeks. The caregiver burden inventory, beck depression index, and beck hopelessness scale were administered to the caregivers at day 0, on the "switch day" (day 15), and day 30. Before inpatient rehabilitation, 18 (35%) of the caregivers had somewhat elevated scores on the caregiver burden inventory; however, at the end of rehabilitation, 42 (66.6%) of the caregivers were in a high-burden state. The caregiver burden inventory scores differed significantly between baseline and the end of rehabilitation in both groups. Caregiver depression scores also increased significantly in both groups (p < 0.0001), while hopelessness scores increased only in group II (p = 0.027). Caregiver burden increased during the inpatient stroke rehabilitation period. During inpatient rehabilitation, both robot-assisted gait training and conventional therapy increased caregiver burden.ClinicalTrials.gov Number NCT03535467, First Posted: 24 May 2018.

Effectiveness of Nintendo Wii and Physical Therapy in Functionality, Balance, and Daily Activities in Chronic Stroke Patients

OBJECTIVES

The aim of this study was to assess whether a virtual rehabilitation program using Nintendo Wii added to conventional physical therapy improved functionality, balance, and daily activities in chronic stroke survivors, when compared with conventional physical therapy.

DESIGN

We undertook a randomized controlled clinical trial. The participants of this study were randomized to 2 groups: (1) conventional physical therapy (CPTG), which included exercises related to functionality, balance, and activities of daily living; and (2) virtual reality with Nintendo Wii (VRWiiG), which included balance training with the Wii Balance Board and upper limb exercises with the Wii Sports package, added to conventional physical therapy.

SETTING AND PARTICIPANTS

This study was conducted in a university rehabilitation clinic and 29 stroke survivors were admitted.

METHODS

Both interventions lasted 4 weeks, 2 sessions per week. Assessments were performed at baseline and at the end of the study, including functionality [Timed up and go (TUG)], balance [Tinetti Performance-Oriented Mobility Assessment (POMA)], Berg Balance Scale (BBS), and activities of daily living [Fugl-Meyer Upper Limb Motor Assessment, Barthel Index, Frenchay Activity Index (FAI)].

RESULTS

Regarding TUG, POMA, and BBS, the analysis of variance showed significant differences for time and group∗time interaction. Post hoc analysis showed between-group differences (P = .044, d = -0.78; P = .012, d = 1.00; P = .042, d = 0.79, respectively) and within-group differences only in the VRWiiG (P < .001, d = 0.75; P < .001, d = -0.76; P < .001, d = -0.57, respectively). Regarding activities of daily living, post hoc analysis showed within-group differences only in VRWiiG.

CONCLUSIONS AND IMPLICATIONS

Our study showed promising results in functionality, balance, and activities of daily living when adding virtual reality with Nintendo Wii to conventional physical therapy in chronic stroke survivors. All procedures were approved by the Human Research Ethics Committee of the University of Valencia (H1518177391901). ClinicalTrials.gov database (NLM identifier NCT04144556).

The effects of virtual reality augmented robot-assisted gait training on dual-task performance and functional measures in chronic stroke: a randomized controlled single-blind trial

BACKGROUND

Many studies have demonstrated positive effects of virtual reality (VR) and robot-assisted gait training (RAGT) on balance, gait skills, functional capacity, active participation, and motivation in stroke patients, previously. However, the effects of VR augmented RAGT on dual-task performance which requires simultaneous use of motor and cognitive parameters have not been investigated.

AIM

To primarily investigate the effects of virtual reality (VR) augmented robot-assisted gait training (RAGT) on dual-task performance and secondarily, functional measurements in chronic stroke patients.

DESIGN

A randomized, single-blind trial.

SETTING

Inpatient rehabilitation center.

POPULATION

The study included 30 chronic stroke patients aged between 40-65 with the level of ≥3 from Functional Ambulation Classification and ≥24 from the Standardized Mini Mental State Examination.

METHODS

Fifteen patients in the study group received VR augmented RAGT and 15 patients in the control group received only RAGT during 12 sessions (six weeks). All patients received neurodevelopmental therapy in addition to their treatments, simultaneously. To evaluate dual-task performance, motor and cognitive tasks were given in addition to the 10 Meter Walk (first motor task), and durations were recorded in seconds. Functional measures such as Functional Gait Assessment, Rivermead Mobility Index, Berg Balance Scale, Fall Activity Scale International, and the Functional Independence Measure for gait, mobility, balance, fear of falling, and independence in daily living activities were also applied, consecutively.

RESULTS

The mean age of the study population was 57.93±5.91. After the treatment, single and dual-task gait speeds and cognitive dual-task performance increased in the study group (P<0.05), while no change was observed in the control group (P>0.05). No significant difference was detected between the groups in terms of all assessments after the treatment (P>0.05).

CONCLUSIONS

This study demonstrated that VR augmented RAGT improved dual-task gait speeds and dual-task performance of chronic stroke patients; however, there were no difference between the two groups after the treatment. Although functional improvements were determined with VR combined RAGT approach, it was not superior to RAGT only treatment.

CLINICAL REHABILITATION IMPACT

The results of current study suggest the simultaneous use of VR as an adjunct therapy method to the functional training to obtain functional gains in ambulant patients with chronic stroke.