Topics in Stroke Rehabilitation最新文献

Objective: The prognosis of stroke patients is greatly threatened by malnutrition. However, there is no model to predict the risk of malnutrition in hospitalized stroke patients. This study developed a predictive model for identifying high-risk malnutrition in stroke patients.

Methods: Stroke patients from two tertiary hospitals were selected as the objects. Binary logistic regression was used to build the model. The model's performance was evaluated using various metrics including the receiver operating characteristic curve, Hosmer-Lemeshow test, sensitivity, specificity, Youden index, clinical decision curve, and risk stratification.

Results: A total of 319 stroke patients were included in the study. Among them, 27% experienced malnutrition while in the hospital. The prediction model included all independent variables, including dysphagia, pneumonia, enteral nutrition, Barthel Index, upper arm circumference, and calf circumference (all p < 0.05). The AUC area in the modeling group was 0.885, while in the verification group, it was 0.797. The prediction model produces greater net clinical benefit when the risk threshold probability is between 0% and 80%, as revealed by the clinical decision curve. All p values of the Hosmer test were > 0.05. The optimal cutoff value for the model was 0.269, with a sensitivity of 0.849 and a specificity of 0.804. After risk stratification, the MRS scores and malnutrition incidences increased significantly with escalating risk levels (p < 0.05) in both modeling and validation groups.

Conclusions: This study developed a prediction model for malnutrition in stroke patients. It has been proven that the model has good differentiation and calibration.

Introduction: This longitudinal study aimed to explore the impacts of adopting a healthy lifestyle on self-reported physical and mental health outcomes among Australian females who are living with stroke.

Methods: The study utilized data retrieved from the Australian Longitudinal Study on Women's Health's 1946-51 cohort (from survey 5 conducted in 2007 to survey 9 conducted in 2019), focusing on 531 female stroke survivors. The dependent variables for this study were self-reported physical and mental health status, whereas the independent variables were lifestyle behaviors, including physical activity, smoking, alcohol consumption, and supplement use. Generalized Estimating Equation models were employed to assess the longitudinal associations between a dependent variable and the independent and confounding variables.

Results: The average age of the participants was 58.1 (SD = 1.4) years in survey 5 and 70.5 years in survey 9. The longitudinal analyses revealed that stroke survivors who engaged in moderate/high levels of physical activity had significantly better physical and mental health status than their inactive or sedentary counterparts. Besides, current smokers had significantly poorer physical and mental health status than nonsmokers. In addition, risky/high-risk alcohol consumers had significantly poorer mental health status compared to no/low-risk alcohol consumers.

Conclusions: Our findings suggest that post-stroke individuals can improve their physical and mental health by maintaining a healthy lifestyle. Specifically, targeted and appropriate programs and strategies are needed to promote physical activity and reduce smoking and alcohol consumption in female stroke survivors in order to optimize their overall health and quality of life.

Objective: To investigate the impact of a combination of aerobic and resistance exercises on the psychological and cognitive functions of post-stroke migraine patients.

Methods: This study recruited 100 patients suffering from post-stroke migraine pain who were admitted to the hospital, categorizing them into a control group (n = 50) and an intervention group (n = 50). The control group received conventional drug treatment, while the intervention group received the exercise-based intervention that combined aerobic exercise with resistance exercise.

Results: Before treatment, both groups displayed similar Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder-7 (GAD-7), Mini-mental State Examination (MMSE) and MoCA scores. However, after the intervention, the intervention group exhibited lower scores on these measures compared to the control group (all p < 0.05). Additionally, there were no discernible disparity in Migraine Disability Assessment (MIDAS) and Headache Impact Test (HIT-6) scores between the two cohorts of patients before treatment (p > 0.05), whereas the intervention group demonstrated significantly lower MIDAS and HIT-6 scores following the intervention (p < 0.05). Although there were no discernible distinctions in National Institute of Health stroke scale (NIHSS) and Stroke Specialized Quality of Life Scale (SS-QOL) measurements between the two patient groups before treatment (p > 0.05), the intervention group exhibited a significant decrease in NIHSS scores and a notable increase in SS-QOL scores after the intervention (p > 0.05). Moreover, the satisfaction rate and overall satisfaction rate were significantly higher in the intervention group (p < 0.05).

Conclusion: The combination of aerobic and resistance exercises demonstrated positive effects on the psychological well-being and overall quality of life for post-stroke migraine patients.

Aim: The aim of this study was to evaluate the measurement properties of activity monitoring for a rehabilitation (AMoR) platform for step counting, time spent in sedentary behavior, and postural changes during activities of daily living (ADLs) in a simulated home environment.

Methods: Twenty-one individuals in the post-stroke chronic phase used the AMoR platform during an ADL protocol and were monitored by a video camera. Spearman's correlation coefficient, mean absolute percent error (MAPE), intraclass correlation coefficient (ICC), and Bland-Altman plot analyses were used to estimate the validity and reliability between the AMoR platform and the video for step counting, time spent sitting/lying, and postural changes from sit-to-stand (SI-ST) and sit-to-stand (ST-SI).

Results: Validity of the platform was observed with very high correlation values for step counting (rs = 0.998) and time spent sitting/lying (rs = 0.992) and high correlation for postural change of SI-ST (rs = 0.850) and ST-SI (rs = 0.851) when compared to the video. An error percentage above 5% was observed only for the SI-ST postural change (7.13%). The ICC values show excellent agreement for step counting (ICC3, k = 0.999) and time spent sitting/lying (ICC3, k = 0.992), and good agreement for SI-ST (ICC3, k = 0.859) and ST-SI (ICC3, k = 0.936) postural change. Values of the differences for step counting, sitting/lying time, and postural change were within the limits of agreement according to the analysis of the Bland-Altman graph.

Conclusion: The AMoR platform presented validity and reliability for step counting, time spent sitting/lying, and identification of SI-ST and ST-SI postural changes during tests in a simulated environment in post-stroke individuals.

Background: There is a need for practical, easy-to-use and accurately assessing balance tools in stroke patients.

Objectives: This study aimed to compare the psychometric properties of the dual-task Timed Up-and-Go test (cognitive) (DTUG) and the 3-m walk backward test (3MBWT) in stroke patients.

Methods: This study evaluated the practicality, validity, and reliability of the DTUG and the 3MBWT. The test-retest method was used for reliability. The Modified Four Square Step Test (MFSST), the Timed Up-and-Go (TUG), and Berg Balance Scale (BBS) were administered for concurrent validity. A cutoff value was calculated to discriminate between fallers and non-fallers.

Results: The mean practicality times of the tests were 63.58 ± 47.32 sec for DTUG and 37.42 ± 24.036 sec for 3MBWT. Intraclass correlation coefficient of the DTUG and 3MBWT were 0.977, 0.964, respectively which showed excellent test - retest reliability. The DTUG demonstrated strong/very strong correlations with the MFSST (r = 0.724, p < 0.001), TUG (r = 0.909, p < 0.001), and BBS (r = -0.740, p < 0.001). The 3MBWT showed strong correlations with the MFSST (r = 0.835, p < 0.001), the TUG (r = 0.799, p < 0.001), and the BBS (r = -0.740, p < 0.001). The cutoff point was 36.945 s for DTUG and 14.605 s for 3MBWT.

Conclusions: The 3MBWT was a more practical test than the DTUG; however, the DTUG was more discriminative than the 3MBWT in identifying fallers after stroke.

Clinical trial registration number: NCT05211349.

Url: https://register.clinicaltrials.gov/prs/app/action/SelectProtocol?sid=S000BRKZ&selectaction=Edit&uid=U0005GRO&ts=2&cx=z21bhg.

Background: Kinesio tape (KT) is known to enhance tactile sensation. In stroke rehabilitation, KT is often used alongside conventional therapy (CT) to improve balance recovery.

Objective: In this study, we aimed to evaluate the effectiveness of plantar KT in enhancing plantar tactile sensation (PTS) and balance ability in subacute stroke patients.

Methods: In this randomized crossover trial, 22 subacute stroke participants were randomly assigned to receive no taping, paretic plantar KT, or bilateral plantar KT, with a 24-h washout period between each condition. All participants underwent 30 min of CT. The primary outcome was PTS, involving tactile sensitivity in five areas on the plantar surface and the contact area with the ground of the paretic foot. The one-leg stand (OLS) time, functional reach test (FRT), and timed up-and-go test (TUG) were employed as secondary outcomes.

Results: Paretic plantar KT application led to significant increases in the contact area, OLS, FRT, and TUG test times. Particularly, bilateral plantar KT showed significantly greater improvement in PTS compared to paretic plantar KT. Additionally, bilateral plantar KT significantly improved OLS (p < 0.001, η² = 0.575), FRT (p < 0.001, η² = 781), and TUG (p < 0.001, η² = 0.771) times compared with paretic plantar KT.

Conclusions: This study demonstrated that plantar KT improved PTS and balance ability in stroke rehabilitation. The findings suggest that bilateral plantar KT as an adjunct to CT may have a beneficial effect on balance recovery in patients with subacute stroke.

Trial registration: Clinical trial KCT0009048.

Background: Physical activity (PA) is important for people with stroke, but the reliability of PA questionnaires used in this population has been relatively unexplored.

Objective: To compare the internal consistency, test-retest, and absolute reliability of 3 commonly used PA questionnaires in adults with stroke.

Methods: Participants reported their PA levels twice, 2-3 days apart, using the Physical Activity Scale for Individuals with Physical Disabilities (PASIPD), International Physical Activity Questionnaire (IPAQ), and Global Physical Activity Questionnaire (GPAQ). Intraclass correlation coefficients (ICC_2,1) were calculated for test-retest reliability, Cronbach's alpha (α) for internal consistency, and standard error of measurement (SEM) and minimal detectable change (MDC₉₅) for absolute reliability.

Results: Twenty-eight people (64.4 years, 50% female, 5.2 years post-stroke) participated. Internal consistency was acceptable for total scores on the IPAQ ($\alpha$ = 0.79) and GPAQ ($\alpha$ = 0.74), but only domain-level scores for the GPAQ ($\alpha$ = 0.71-0.88). In the full sample, test-retest reliability was good for the PASIPD (ICC_2,1 = 0.83) but poor for the IPAQ and GPAQ (ICC_2,1 <0.50). After excluding participants self-reporting true changes in PA, all questionnaires had good test-retest reliability (ICC_2,1 = 0.77-0.88). SEM and MDC₉₅ were lowest for the PASIPD (188.8 and 523.3 MET-minutes/week, respectively).

Conclusions: In adults with stroke, the IPAQ and GPAQ had adequate total-questionnaire internal consistency, and the GPAQ had acceptable domain-level internal consistency. When true change in PA did not occur, test-retest reliability was good for all questionnaires. We suggest clinicians and rehabilitation scientists can use any of the three questionnaires, but may consider the GPAQ due to acceptable internal consistency and test-retest reliability.

Background: People with communication differences are known to have poorer hospital outcomes than their peers. However, the combined impact of aphasia and cultural/linguistic differences on care and outcomes after stroke remains unknown.

Objectives: To investigate the association between cultural/linguistic differences, defined as those requiring an interpreter, and the provision of acute evidence-based stroke care and in-hospital outcomes for people with aphasia.

Methods: Cross-sectional, observational data collected in the Stroke Foundation National Audit of Acute Services (2017, 2019, 2021) were used. Multivariable regression models compared evidence-based care and in-hospital outcomes (e.g., length of stay) by interpreter status. Models were adjusted for sex, hospital location, stroke type and severity, with clustering by hospital.

Results: Among 3122 people with aphasia (median age 78, 49% female) from 126 hospitals, 193 (6%) required an interpreter (median age 78, 55% female). Compared to people with aphasia not requiring an interpreter, those requiring an interpreter had similar care access but less often had their mood assessed (OR 0.50, 95% CI 0.32, 0.76), were more likely to have physiotherapy assessments (96% vs 90% p = 0.011) and carer training (OR 4.83, 95% CI 1.70, 13.70), had a 2 day longer median length of stay (8 days vs 6 days, p = 0.003), and were less likely to be independent on discharge (OR 0.54, 95% CI 0.33, 0.89).

Conclusions: Some differences exist in the management and outcomes for people with post-stroke aphasia who require an interpreter. Further research to explore their needs and the practical issues underpinning their clinical care pathways is required.

Background: The independent predictive power of fatigue for community integration has not been investigated, although there is an increasing amount of literature that recognizes the importance of fatigue in people with stroke.

Objectives: To examine the correlation between community integration and fatigue, walking endurance, and fear of falling; and to quantify the relative contribution of fatigue to community integration in people with stroke.

Methods: This was a cross-sectional study with 75 community-dwelling people with stroke. Data were collected using the Community Integration Measure (CIM), Fatigue Assessment Scale (FAS), 6-minute walk test (6MWT), and Survey of Activities and Fear of Falling in the Elderly (SAFE). Multiple linear regressions (forced entry method) were used to quantify the relative power of the FAS score to predict community integration in a model covering distance in the 6MWT and the SAFE score.

Results: After controlling for age, the CIM score significantly correlated with the scores for FAS (r=-0.48, p < 0.001), 6MWT distance (r = 0.24, p = 0.039), and SAFE (r=-0.39, p = 0.001). The entire model, including age, FAS score, 6MWT distance, and SAFE score, explained 26.1% of the variance in the CIM scores (F [4, 70] = 7.52, p < 0.001). The FAS scores independently explained 10.6% of the variance in the CIM scores.

Conclusions: This study suggests that fatigue is an independent predictor of community integration among people with stroke, taking into account walking endurance and fear of falling.