Walking and balance outcomes for stroke survivors: a randomized clinical trial comparing body-weight-supported treadmill training with versus without challenging mobility skills

Effects of rehabilitation exercise program types on dynamic balance in patients with stroke: a meta-analysis of randomized controlled trials

PURPOSE

The purposes of meta-analysis are to evaluate evidence about the effects of Rehabilitation Exercise Program on the balance of post-stroke patients, evaluated by the Berg Balance Scale (BBS).

METHODS

The search was conducted 'stroke,' 'rehabilitation,' 'dynamic balance,' 'Berg Balance Scale,' 'exercise' and 'randomized controlled trial'using MEDLINE (accessed by PubMed), Web of Science (WoS), ProQuest, and Google Scholar for journal studies published from January 2018 to October 2022. Two independent reviewers performed the article selection, data extraction, and methodological quality assessment. The main outcome was dynamic balance assessed by the Berg Balance scale.

RESULTS

The review included 30 papers and a total of 540 patients. The overall effect size was 0.550, a medium effect size according to the Cohen's standard. It was observed that gender has moderate effect size in male (0.551), female (0.458) and higher in male. Exercise type results showed large effect sizes in balance training (0.966), and aquatic activities (0.830), moderate effect sizes in virtual reality (0.762), moderate effect sizes in physically active (0.581), gait training (0.541), dual-task (0.478), trunk control (0.284), and small effect sizes in resistance training (0.128).

CONCLUSIONS

Exercise programs are effective in improving dynamic balance in stroke patients. Especially, the meta-analysis showed higher Effect Size for balance training and virtual reality than for other programs making this relevant interventions for future head to head superiority studies that compare different balance interventions in stroke.

Clinical indications and protocol considerations for selecting initial body weight support levels in gait rehabilitation: a systematic review

BACKGROUND

Body weight support (BWS) training devices are frequently used to improve gait in individuals with neurological impairments, but guidance in selecting an appropriate level of BWS is limited. Here, we aim to describe the initial BWS levels used during gait training, the rationale for this selection and the clinical goals aligned with BWS training for different diagnoses.

METHOD

A systematic literature search was conducted in PubMed, Embase and Web of Science, including terms related to the population (individuals with neurological disorders), intervention (BWS training) and outcome (gait). Information on patient characteristics, type of BWS device, BWS level and training goals was extracted from the included articles.

RESULTS

Thirty-three articles were included, which described outcomes using frame-based (stationary or mobile) and unidirectional ceiling-mounted devices on four diagnoses (multiple sclerosis (MS), spinal cord injury (SCI), stroke, traumatic brain injury (TBI)). The BWS levels were highest for individuals with MS (median: 75%, IQR: 6%), followed by SCI (median: 40%, IQR: 35%), stroke (median: 30%, IQR: 4.75%) and TBI (median: 15%, IQR: 0%). The included studies reported eleven different training goals. Reported BWS levels ranged between 30 and 75% for most of the training goals, without a clear relationship between BWS level, diagnosis, training goal and rationale for BWS selection. Training goals were achieved in all included studies.

CONCLUSION

Initial BWS levels differ considerably between studies included in this review. The underlying rationale for these differences was not clearly motivated in the included studies. Variation in study designs and populations does not allow to draw a conclusion on the effectiveness of BWS levels. Hence, it remains difficult to formulate guidelines on optimal BWS settings for different diagnoses, BWS devices and training goals. Further efforts are required to establish clinical guidelines and to experimentally investigate which initial BWS levels are optimal for specific diagnoses and training goals.

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.

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.

Multidirectional Overground Robotic Training Leads to Improvements in Balance in Older Adults

For the rapidly growing aging demographic worldwide, robotic training methods could be impactful towards improving balance critical for everyday life. Here, we investigated the hypothesis that non-bodyweight supportive (nBWS) overground robotic balance training would lead to improvements in balance performance and balance confidence in older adults. Sixteen healthy older participants (69.7 ± 6.7 years old) were trained while donning a harness from a distinctive NaviGAITor robotic system. A control group of 11 healthy participants (68.7 ± 5.0 years old) underwent the same training but without the robotic system. Training included 6 weeks of standing and walking tasks while modifying: (1) sensory information (i.e., with and without vision (eyes-open/closed), with more and fewer support surface cues (hard or foam surfaces)) and (2) base-of-support (wide, tandem and single-leg standing exercises). Prior to and post-training, balance ability and balance confidence were assessed via the balance error scoring system (BESS) and the Activities specific Balance Confidence (ABC) scale, respectively. Encouragingly, results showed that balance ability improved (i.e., BESS errors significantly decreased), particularly in the nBWS group, across nearly all test conditions. This result serves as an indication that robotic training has an impact on improving balance for healthy aging individuals.

Accuracy and cut-off points of different models of knee extension strength analysis to identify walking performance in individuals with chronic stroke

BACKGROUND

Adequate muscle strength is essential for walking performance in individuals with stroke.

OBJECTIVE

To investigate the accuracy of different forms of muscle knee extension strength analysis to identify high or low walking performance in individuals with chronic stroke.

METHODS

Twenty-eight participants with a chronic stroke for more than six months participated. Independence for walking was judged by measurement of walking performance assessed for comfortable walking speed (CWS), maximum walking speed (MWS), and the Six Minute Walk Test (6MWT). Peak knee extension torque of the paretic side, non-paretic side, sum of the sides (SS), and difference in the sides (DS) was assessed during concentric movements using an isokinetic dynamometer.

RESULTS

The equation with greatest predictive capacity for CWS and MWS included the DS as the main predictor (R² of 0.65 and 0.71, respectively, p < 0.05). The variable with the greatest predictive capacity for 6MWT was time since injury (R² of 0.68, p < 0.05). The highest percentile for CWS in the receiver operating characteristic curve of DS was 25 Nm/kg (cut-off: -12.75 for CWS of 0.498 m/s). The 75th percentile of the 6MWT (324.3 m) was used as the cut-off for the SS (2.1 Nm/kg). The area under the curve for CWS was 0.76 (p < 0.05) on the DS and 0.75 (p < 0.05) for 6MWT on the SS.

CONCLUSION

The models of muscle knee extension strength analysis using the SS and DS presented moderate accuracy to identify walking performance in individuals with chronic stroke.

Precision implementation of early ambulation in elderly patients undergoing off-pump coronary artery bypass graft surgery: a randomized-controlled clinical trial

Background

Although early ambulation (EA) is associated with improved outcomes in post-operative patients, implementation of EA in elderly patients is still a challenge. In this study, we aimed to design and assess a precision early ambulation program for cardiac rehabilitation.

Methods

We conducted a single-center, randomized and controlled clinical trial in elderly patients aged over 60 years after off-pump coronary artery bypass graft (OPCABG) surgery. Patients were randomly assigned to a precision early ambulation (PEA) group or a routine ambulation (Control) group. Age-predicted maximal heart rate (APMHR) and maximal oxygen uptake (VO_2max) were used as a reference to formulate and monitor the PEA regimen. The primary end-point was the postoperative length of stay in hospital (PLOS). The secondary end-points included 90-day mortality, incidence of early discharge, laboratory tests, length of ICU stay, the incidence of multiple organ complications and post-traumatic stress disorder (PTSD). Ambulation outcomes were also recorded.

Results

In total, 178 patients were enrolled (n = 89 per group). In the intent-to-treat analysis, PLOS in the PEA group was shorter than that in the Control group (9.04 ± 3.08 versus 10.09 ± 3.32 days, respectively. Mean difference 1.045 days; 95% confidence interval [CI] 0.098–1.992; P = 0.031 in the unadjusted model; mean difference 0.957 days; CI 0.007–1.907; P = 0.048 in adjusted model). The incidence of early discharge differed significantly between the PEA and control groups (41[46.1%] versus 24[27.0%] patients, respectively. Odds ratio [OR] 0.432; CI 0.231–0.809; P = 0.009 in unadjusted model; OR 0.466; CI 0.244–0.889, P = 0.02 in adjusted model). The time of first bowel movement, partial pressure O₂ and post-traumatic stress disorder score in the PEA group were better than those in the Control group. Participants walked much longer distances on day 3 in the PEA group than those in the Control group (76.12 ± 29.02 versus 56.80 ± 24.40 m, respectively, P < 0.001).

Conclusion

APMHR and VO_2max are valuable for implementation of PEA according to an established security threshold. PEA after OPCAPG surgery is safe and reliable for elderly patients, not only reducing the hospital stay, but also improving their physiological and psychological symptoms.

Trial registration

This study is a component of a protocol retrospectively registered: Application of ERAS in cardiovascular surgery. Trial registration number: ChiCTR1800018167. Date of registration: 3rd September, 2018. URL of trial registry record: http://www.chictr.org.cn/index.aspx

Effects of insole on the less affected side during execution of treadmill walking training on gait ability in chronic stroke patients: A preliminary study

BACKGROUND

People who have had hemiplegic stoke generally move more weight to the unaffected side than the affected side, resulting in asymmetrical posture and decreased ability in walking.

OBJECTIVES

This study sought to investigate the effect of inducing a weight shift to the affected side by raising the shoe height of the less affected side using an insole during the execution of treadmill training on gait ability in people with chronic stroke.

METHODS

The subjects were randomly assigned into two groups: insole on less affected side for execution of treadmill walking training (ILTW) group and normal treadmill training (NTW) group. The treadmill training was conducted for 30 minutes per session, 5 times a week, for 4 weeks. A gait analyzer based on body center, Functional Gait Assessment (FGA), Figure-of-Eight Walk Test (F8WT), and 6 min Walk Test (6 MWT), was measured before first intervention and after twentieth treadmill training intervention (Trial registration number is KCT0003830).

RESULTS

The results revealed statistically significant differences between the two groups in the Speed, Cadence, Stride Length/Height, Stride Length, Double Support Duration, Single Support Duration, FGA, F8WT, and 6 MWT of the gait test. In the ILTW group, statistically significant improvements were observed in the Speed, Stride Length/Height, Stride Length, Stance Phase Duration, Swing Phase Duration, Double Support Duration, Single Support Duration, FGA, F8WT, and 6 MWT after execution of training, while in the NTW group, statistically significant improvements were observed only in Speed, Cadence, FGA, F8WT, and 6 MWT.

CONCLUSIONS

ILTW, more than NTW, may improve walking ability in people with chronic stroke as it increases the weight-support ratio by adjusting the shoe height of the unaffected side using an insole.

Walking faster and farther with a soft robotic exosuit: Implications for post-stroke gait assistance and rehabilitation

OBJECTIVE

Soft robotic exosuits can improve the mechanics and energetics of walking after stroke. Building on this prior work, we evaluated the effects of the first prototype of a portable soft robotic exosuit.

METHODS

Exosuit-induced changes in the overground walking speed, distance, and energy expenditure of individuals post-stroke were evaluated statistically with alpha set to 0.05 and compared to minimal clinically important difference scores.

RESULTS

Compared to baseline walking without the exosuit worn, the <5kg exosuit did not substantially modify walking speed, distance, or energy expenditure when worn unpowered. In contrast, when the exosuit was powered on to provide an average 22.87±0.58 %bodyweight of plantarflexor force assistance during the paretic limb's stance phase and assist the paretic dorsiflexors during swing phase to reduce drop-foot, study participants walked a median 0.14±0.06 m/s faster during the 10-meter walk test and traveled 32±8 m farther during the six minute walk test.

CONCLUSIONS

Individuals post-stroke can leverage the paretic plantarflexor and dorsiflexor assistance provided by soft robotic exosuits to achieve clinically-meaningful increases in speed and distance.

Walking speed as a predictor of community mobility and quality of life after stroke

Background: Community mobility (CM) is considered a part of community reintegration that enhances Quality of Life (QoL). Achieving an appropriate gait speed is essential in attaining an independent outdoor ambulation and satisfactory CM. Objective: The aim of this study was to identify whether gait speed is a predictor of CM and QoL in patients with stroke following a multimodal rehabilitation program (MRP). Methods: This was a baseline control trial with 6-months follow-up in an outpatient rehabilitation setting at a university hospital. Twenty-six stroke survivors completed the MRP (24 sessions, 2 days/wk, 1 hr/session). The MRP consisted of aerobic exercise, task-oriented exercises, balance exercises and stretching. Participants also performed an ambulation program at home. Outcome variables were: walking speed (10-m walking test) and QoL (physical and psychosocial domains of Euroquol and Sickness Impact Profile). Results: At the end of the intervention, comfortable and fast walking speed increased by an average of 0.16 (SD 0.21) (*p < .05) and 0.40 (SD 0.51) (**p < .001) m/s, respectively. After the intervention, all participants achieved independent outdoor ambulation with an increase of 34.14 of walking minutes/day in the community and a decrease of sitting time of 95.45 minutes/day. Regarding QoL there were increased mean scores on the physical and psychosocial dimensions of Euroquol and the Sickness Impact Profile, respectively (**p < .001). Conclusions: The results suggest that improved walking speed after the MRP is associated with CM and higher scores in QoL. These findings support the need to implement rehabilitation programs to promote increased speed.