Feasibility and efficacy of an activity-monitoring approach using pedometer in patients undergoing subacute rehabilitation: A pilot study.

Wearable devices for the quantification of walking have recently been adopted for gait rehabilitation. To apply this method in subacute rehabilitation settings, this approach must be effective in these populations and implemented as a feasible method in terms of adherence and safety, especially the risk of falling. This study aimed to investigate the feasibility and efficacy of an activity monitoring approach in subacute rehabilitation using a commercially available pedometer validated with slow walking. This randomized controlled study with blinded assessors recruited 29 patients admitted to a rehabilitation ward. The participants were randomly assigned to either the feedback (intervention) or the no-feedback (control) group. Participants in both groups received at least 120 min of therapy sessions every day for 6 or 7 days per week while wearing pedometers on their unaffected ankles from the day they were permitted to walk independently till discharge. Only participants in the feedback group received weekly encouragement and the next goals. The primary outcome was the change in the 6-minute walking distance (Δ6MD). Feasibility (percentage of pedometer data acquisition days in the total observational period and the number of falls) and other efficacy outcomes (step counts, gait speed, 30-seconds chair stand test, Berg Balance Scale, and Timed Up and Go Test) were also evaluated. Regarding feasibility outcomes, the data acquisition rate was 94.1% and the number of falls during the observation period was one in the feedback group. Regarding efficacy outcomes, Δ6MD was not significantly greater in the feedback group [mean (standard deviation): 79.1 (51.7) m] than in the no-feedback group [86.1 (65.4) m] (p = 0.774) and the other five secondary outcomes showed no between-group difference. Considering the large number of steps per day in both groups [6,912 (4,751) and 5,600 (5,108) steps in the feedback and no-feedback group, respectively], the effect of the intended intervention might have been masked by the effect of simply wearing pedometers in the control group. This study revealed that the activity monitoring approach using an ankle-worn pedometer was practical in terms of adherence and safety. Further clinical trials are required to elucidate ways to effectively use wearable devices in subacute rehabilitation.

Outcomes of Dysphagia Following Stroke: Factors Influencing Oral Intake at 6 Months After Onset.

PURPOSE: This study aimed to describe recovery of dysphagia after stroke. We determined the proportion of stroke survivors with dysphagia on admission, discharge, and 6 months after stroke. Additionally, the factors affecting oral feeding 6 months after stroke were explored. METHODS: A total of 427 acute stroke patients were recruited prospectively. Presence of dysphagia was evaluated on admission, weekly until recovery was achieved, and at discharge. We compared stroke survivors with dysphagia who had complete recovery, who had dysphagia but achieved oral feeding, and who required tube feeding. Patient-reported eating ability was evaluated at 6 months. Patients who achieved oral feeding by 6 months were compared to those who had persistent tube feeding need. RESULTS: Fifty-five percent of stroke survivors had dysphagia on initial evaluation (3.1 ± 1.4 days after admission) and 37% at discharge (21.1 ± 12.4 days). At 6 months, 5% of patients required tube feeding. Among those who had dysphagia at initial evaluation, 32% had resolution of dysphagia within two weeks, 44% had dysphagia but started oral feeding before discharge, and 23% required alternative means of alimentation (nasogastric tube feeding, percutaneous endoscopic gastrostomy, parental nutrition) throughout hospitalization. At 6 months, 90% of stroke survivors who achieved oral feeding by discharge continued with oral feeding. Patients who achieved oral feeding after discharge had less cognitive impairments on admission and a higher speech therapist intervention rate after discharge. CONCLUSIONS: More than half of stroke survivors had dysphagia but the vast majority were able to return to oral feeding by 6 months. Cognitive function and dysphagia rehabilitation interventions were associated with return to oral feeding after hospital discharge.

Effectiveness of Self-Monitoring Approach Using Fitness Trackers to Improve Walking Ability in Rehabilitation Settings: A Systematic Review.

Background: A self-monitoring approach utilizing fitness trackers that provide feedback regarding physical activities has been recently applied to rehabilitation patients to promote voluntary walking activities. Although this approach has been proven to increase physical activity, it is uncertain whether the intervention improves walking ability. Aim: This review investigated whether the additional self-monitoring approach using activity trackers would improve walking ability in any type of rehabilitation setting. Methods: A systematic search was performed in four databases [PubMed (MEDLINE), The Cochrane Library, SPORTDiscus, and Cumulative Index to Nursing and Allied Health Literature] to identify studies that examined the self-monitoring approach combined with rehabilitative intervention vs. the same rehabilitative intervention only in participants with any unhealthy conditions. Two review authors independently assessed the eligibility of all the retrieved English literature published from 2009 to 2019, then discussed the final inclusion. The risk of bias was assessed referring to the criteria of the Cochrane Risk of Bias tool. The key findings were synthesized using narrative synthesis. In addition, a quantitative synthesis was conducted when more than two studies investigating the same disease were identified. Results: Eleven randomized controlled trials satisfied the eligibility criteria, nine of which had a lower risk of bias. The types of diseases included stroke, chronic obstructive pulmonary disease (COPD), cancer, Parkinson's disease, hemophilia, peripheral artery disease, post-total knee arthroplasty, and geriatric rehabilitation. Eight studies reported measures of walking endurance and four reported measures of gait speed. In the quantitative synthesis of two studies investigating COPD, there was a significant between-group difference in terms of changes in the 6-min walking distance from the baseline, which was favorable to the additional self-monitoring intervention group (mean difference: 13.1 m; 95% confidence interval, 1.8-24.5; 2 studies, 124 participants; p = 0.02; I 2 = 0%). Other available data revealed no consistent evidence regarding effectiveness of the intervention. Conclusions: The findings indicate that there is little evidence suggesting the effectiveness of the self-monitoring approach in improving walking ability in rehabilitation settings. However, a weak recommendation for patients with stable COPD was implicated in the quantitative synthesis. Further research would be required to explore the best indications for this self-monitoring approach. Systematic Review Registration: CRD 42020157695.

Relationship between lower limb function and functional connectivity assessed by EEG among motor-related areas after stroke.

Background: Neural connectivity in brain has been known as indicators for neural function and recovery of brain. Although previous studies reported that neural connectivity predicted the recovery of upper limb function after stroke, the relationship between neural connectivity and lower limb function has not been clear.Objectives: To clarify whether functional connectivity (FC) assessed by electroencephalographiy (EEG) with five electrodes placed on motor-related areas could be related to the functional motor recovery of the lower limbs in patients after stroke.Methods: Twenty-four patients with stroke during the recovery phase were recruited. Motor function of the lower limbs was assessed using Fugl-Meyer Assessment lower limb section (FMAL). EEG signals were recorded by five electrodes (C3, C4, FC3, FC4, and FCz) at rest and during ankle movement. Amplitude envelope correlations, as values for FC, were calculated in α (8-12 Hz), ß (13-30 Hz), low-ß (13-19 Hz), and high-ß (20-30 Hz) frequency bands. The predictive regression equation of the FMAL score in the eighth week after stroke (8 W) was created by FCs in the fourth week (4 W).Results: The higher intra-hemispheric FC in both hemispheres in the resting state and during the ankle movement at 4 W was related to a higher lower limb function at 8 W. Additionally, the higher inter-hemispheric FC between M1 on both sides during the ankle movement was related to a higher function recovery.Conclusions: The intra- and inter-hemispheric FC among motor-related areas at 4 W after stroke might be related to the functional recovery of the lower limbs at 8 W.

Relationship between upper limb function and functional neural connectivity among motor related-areas during recovery stage after stroke.

Backgrounds: Neural biomarkers to predict motor recovery have been used in the field of rehabilitation. Functional connectivity (FC) among the brain regions recorded by functional magnetic resonance imaging systems have been reported, but convenient method to estimate FC for clinical situation has not been established.Objectives: This observational study investigated the relationship between neural functional connectivity obtained by electroencephalography (EEG) and the upper limb function in patients during recovery stage after stroke.Methods: Twenty-four patients in the recovery stage between 4 and 8 weeks after the onset of stroke (mean age: 62 ± 12 (SD)) were enrolled. The EEG signals were obtained by five electrodes placed on the motor-related areas (C3, C4, FC3, FC4, and FCz in the International 10-20 system) for 60 sec at rest and during finger movement on the affected side, and amplitude envelope correlations as measures of FC among the areas were calculated. Fugl-Meyer Assessment (FMA) was used to assess upper limb motor function.Results: The FMA scores evaluated at 4W (33 ± 24 (SD)) were improved by 8W (42 ± 23) (p < .001). The FCs in α and ß bands calculated between the electrodes in the ipsi-lesional hemisphere were correlated negatively with the FMA score at 4W after stroke. The FCs obtained at 4W could be used to predict the FMA score at 8W after stroke.Conclusions: The FCs recorded at rest, as well as during the finger motor task, by the five electrodes placed on motor-related areas could be used to predict the motor function and recovery of the upper limb affected by stroke. The results indicate the possibility of using FCs recorded by conventional EEG with electrodes as biomarkers to predict motor recovery after stroke.