Predictors of health-related quality of life in community-dwelling stroke survivors: a cohort study

General and Specific Quality of Life Course of Individuals with Different Levels of Stroke Severity: A One-Year Prospective Longitudinal Study

OBJECTIVES

To compare the course of generic and specific health-related quality of life (HRQOL) of individuals with stroke, and its physical, mental, and social domains, at three, six, and 12 months after hospital discharge, considering the levels of stroke severity.

METHODS

This is a longitudinal study, in stroke individuals, assessed during hospital admission by the National Institutes of Health Stroke Scale (NIHSS), and divided into mild (NIHSS ≤3) or moderate/severe (NIHSS ≥4) disease. At three, six, and 12 months after hospital discharge, the individuals were assessed for generic (Short Form Health Survey-36: total score and physical and mental domains) and specific (Stroke Specific Quality of Life Scale: total score and social domain) HRQOL. A 2 × 2 repeated measures analysis of variance (ANOVA) with post-hoc was applied.

RESULTS

146, 122, and 103 individuals were assessed at three, six and 12 months, respectively HRQOL courses showed different behaviors according to stroke severity (3.37≤F ≤ 4.62; 0.010≤p ≤ .036). Individuals with mild stroke showed significant changes in the physical domain, with a reduction between three and six months, and an increase between six and 12. Moderate/severe individuals showed a significant increase in all HRQOL variables between three and six months, and a maintenance of values for almost all variables, except for physical domain, which improved significantly between three and six months, and got significantly worse between six and 12.

CONCLUSIONS

HRQOL during the first year after stroke showed distinct trajectories, being stroke severity an important factor in identifying stroke subjects at risk of HRQOL decline.

CLINICAL IMPLICATIONS

These results demonstrate the importance of considering not only the phase of the stroke, the severity, and the general and specific HRQOL, but also the physical, social, and mainly the mental domain, which has long been neglected, when assessing this population.

Predictors of health-related quality of life one year after stroke: a systematic review with meta-analysis

The objective was to investigate, through a systematic review, which independent variables predict health-related quality of life (HRQoL) one year after stroke. Searches were conducted in LILACS, MEDLINE, Scielo, Web of Science, and PEDro. The inclusion criteria were observational longitudinal studies, which included at least one independent variable measured at baseline, as a potential predictor of HRQoL measured 12 months after stroke. The predictors of interest were variables across all domains of the International Classification of Function, Disability and Health. The quality of evidence was rated according to the Grading of Recommendations Assessment, Development, and Evaluation (GRADE). A total of 17 papers were included, involving 8338 participants, and 10 possible predictors of the HRQoL one year after stroke. The meta-analysis was performed for six of them (cognition, depression, neurological deficit, stroke severity, motor impairment, and limitation in activities of daily living), and significant results were found only for limitation in activities of daily living (odds ratio, 1.30 [95% confidence interval, 1.09-1.57]; I2  = 72%; P  < 0.01). The descriptive analysis of the remaining four predictors suggested a significant predictive value of balance and functional independence, whereas the results for trunk control were not significant and for social participation were unclear. In conclusion, individuals within the first 11.5 weeks after stroke with lower limitation in activities of daily living, higher functional independence, and better balance, are more likely to have a higher HRQoL one year after stroke. Thus, these predictors, all modifiable factors, need to be targeted during acute rehabilitation.

Predictors of social risk for post-ischemic stroke reintegration

After stroke rehabilitation, patients need to reintegrate back into their daily life, workplace and society. Reintegration involves complex processes depending on age, sex, stroke severity, cognitive, physical, as well as socioeconomic factors that impact long-term outcomes post-stroke. Moreover, post-stroke quality of life can be impacted by social risks of inadequate family, social, economic, housing and other supports needed by the patients. Social risks and barriers to successful reintegration are poorly understood yet critical for informing clinical or social interventions. Therefore, the aim of this work is to predict social risk at rehabilitation discharge using sociodemographic and clinical variables at rehabilitation admission and identify factors that contribute to this risk. A Gradient Boosting modelling methodology based on decision trees was applied to a Catalan 217-patient cohort of mostly young (mean age 52.7), male (66.4%), ischemic stroke survivors. The modelling task was to predict an individual's social risk upon discharge from rehabilitation based on 16 different demographic, diagnostic and social risk variables (family support, social support, economic status, cohabitation and home accessibility at admission). To correct for imbalance in patient sample numbers with high and low-risk levels (prediction target), five different datasets were prepared by varying the data subsampling methodology. For each of the five datasets a prediction model was trained and the analysis involves a comparison across these models. The training and validation results indicated that the models corrected for prediction target imbalance have similarly good performance (AUC 0.831-0.843) and validation (AUC 0.881 - 0.909). Furthermore, predictor variable importance ranked social support and economic status as the most important variables with the greatest contribution to social risk prediction, however, sex and age had a lesser, but still important, contribution. Due to the complex and multifactorial nature of social risk, factors in combination, including social support and economic status, drive social risk for individuals.

Participation in daily life activities at two months after stroke predicts long-term health-related quality of life

BACKGROUND

After stroke, many patients experience problems with participation in daily activities. Improving participation is the main goal in stroke rehabilitation. However, the longitudinal relationship between participation and health-related quality of life (HRQoL) remains unclear.

OBJECTIVES

This study aimed to examine (1) the predictive value of participation at two months on long-term HRQoL and (2) the longitudinal relationship between participation and HRQoL.

METHODS

In this multicenter, prospective cohort study, patients were assessed at two and 12 months after stroke. Participation was measured with the Restriction subscale of the Utrecht Scale for Evaluation of Rehabilitation - Participation. HRQoL was assessed with the three-level version of the EuroQoL five dimensions questionnaire index score.

RESULTS

This study included 291 patients. Mean age was 66.6 ± 12.4 years, 64.3% were male and mean National Institutes of Health Stroke Scale (NIHSS) was 2.5 ± 2.9. Multivariable linear regression, adjusted for demographic characteristics, stroke characteristics, physical and cognitive impairment, showed that a higher level of participation at two months correlated with a higher HRQoL at one year (B = .004; 95% CI =.002-.005). Patients whose participation improved had a greater increase in HRQoL, compared to patients without improvement (0.080 ± .21 versus -.054 ± .21; p < .001).

CONCLUSIONS

The level of participation at two months post-stroke predicts HRQoL at one year. Improvement in participation during the first year after stroke is associated with improvement in HRQoL. We recommend including the assessment of participation in daily activities at follow-up visits.

Cognitive Function and Participation of Stroke Survivors Living With Companion Animals: A Cross-Sectional Study

INTRODUCTION/OBJECTIVES

Companion animals (CAs) may benefit human health, but few studies have examined their impact on stroke survivors. This study examines participation, quality of life (QoL), attachment, cognition, and executive function differences between stroke survivors living with and without CAs.

METHODS

In this cross-sectional, community-setting study, 25 stroke survivors with a CA and a matched group of 27 without a CA completed standard tools.

RESULTS

Stroke survivors with a CA scored significantly higher in participation and 1 cognitive performance test. No significant differences were found in other cognitive measures or QoL, and attachment to a CA was not correlated with participation or QoL within the research group. However, lower attachment avoidance correlated with better participation in survivors living with dogs.

CONCLUSION

Living with CAs, especially dogs, might be associated with some cognitive function and participation benefits among stroke survivors. The link between CAs and cognitive function is unclear: Survivors with higher cognitive functioning might be more capable of caring for a CA, or having and caring for a CA might promote better cognitive function. Attachment patterns also might explain stroke survivors' participation levels. Further study is warranted.

Functional independence measured in the acute phase of stroke predicts both generic and specific health-related quality of life: a 3-month prospective study in a middle-income country

PURPOSE

To identify acute predictors of both generic and specific health-related quality of life (HRQoL) 3 months after stroke in individuals from a middle-income country.

MATERIALS AND METHODS

A 3-month prospective study with individuals who had suffered their first stroke, without previous disability, discharged from a stroke unit. The dependent outcomes, assessed 3 months after stroke, were generic and specific HRQoL (SF-36 and SSQOL total scores, respectively). The predictors assessed in the stroke unit were age, sex, education level, duration of hospital stay, current living arrangement, stroke severity (National Institutes of Health Stroke Scale-NIHSS), functional independence (Modified Barthel Index-MBI), motor impairment (Fugl-Meyer Assessment), and lower- and upper-limb residual muscle strength deficits. Linear multiple regression analyses were employed to identify predictors of both generic (model-1) and specific (model-2) HRQoL (α = 5%).

RESULTS

One hundred twenty-six individuals were assessed at 3-month post-stroke (61.3 ± 13.6 years). Regression analysis showed that functional independence was the best predictor of both generic (R2 = 21%; F = 34.82; p < 0.001) and specific (R2 = 29%; F = 51.71; p < 0.001) HRQoL at 3-month post-stroke.

CONCLUSION

Both generic and specific HRQoL at 3-month post-stroke can be predicted by functional independence assessed in the acute phase with the MBI.

The factors that influence the adaptation process 6 months after a stroke: A path analysis

OBJECTIVE

The purpose of this study was to identify the determinant factors that influence the adaptation process and quality of life after a stroke.

METHODS

This study is an observational study using a cross-sectional design. Respondents were patients who were 6 months post-discharge after non-hemorrhagic strokae and their family caregivers. Information about respondents was taken from medical record data at two regional general hospitals in West Kalimantan Province, Indonesia. A total of 80 patients were selected using a consecutive sampling method. Theoretical models of patient and caregiver factors that influence adaptation responses and post-stroke quality of life were tested using path analysis.

RESULT

Caregiver coping, self-efficacy, and illness acceptance had a direct effect on the post-stroke psychosocial adaptation response by 58.1%, with self-efficacy contributing the most (β = 0.668, P < .0001). Self-efficacy, illness acceptance, and healthy behavior had a direct effect on the physiological adaptation response by 24.3%, where self-efficacy also contributed the most (β = 0.272, P < .014). Psychosocial adaptation and physiological adaptation had a direct effect on the quality of life by 54.6%, where psychosocial adaptation showed the largest contribution (β = 0.63, P < .0001).

CONCLUSION

Self-efficacy contributes the most to both psychosocial and physiological adaptations 6 months after stroke. Psychosocial adaptation and self-efficacy have been proven to be the determinant factors that contribute the most to the quality of life of patients 6 months after stroke.

Health State Utility Values in People With Stroke: A Systematic Review and Meta-Analysis

Background Health state utility values are commonly used to provide summary measures of health-related quality of life in studies of stroke. Contemporaneous summaries are needed as a benchmark to contextualize future observational studies and inform the effectiveness of interventions aimed at improving post-stroke quality of life. Methods and Results We conducted a systematic search of the literature using Medline, EMBASE, and Web of Science from January 1995 until October 2020 using search terms for stroke, health-related quality of life, and indirect health utility metrics. We calculated pooled estimates of health utility values for EQ-5D-3L, EQ-5D-5L, AQoL, HUI2, HUI3, 15D, and SF-6D using random effects models. For the EQ-5D-3L we conducted stratified meta-analyses and meta-regression by key subgroups. We screened 14 251 abstracts and 111 studies met our inclusion criteria (sample size range 11 to 12 447). EQ-5D-3L was reported in 78% of studies (study n=87; patient n=56 976). The pooled estimate for EQ-5D-3L at ≥3 months following stroke was 0.65 (95% CI, 0.63-0.67), which was ≈20% below population norms. There was high heterogeneity (I2>90%) between studies, and estimates differed by study size, case definition of stroke, and country of study. Women, older individuals, those with hemorrhagic stroke, and patients prior to discharge had lower pooled EQ-5D-3L estimates. Conclusions Pooled estimates of health utility for stroke survivors were substantially below population averages. We provide reference values for health utility in stroke to support future clinical and economic studies and identify subgroups with lower healthy utility. Registration URL: https://www.crd.york.ac.uk/prospero/. Unique Identifier: CRD42020215942.

Machine learning predicts clinically significant health related quality of life improvement after sensorimotor rehabilitation interventions in chronic stroke

Health related quality of life (HRQOL) reflects individuals perceived of wellness in health domains and is often deteriorated after stroke. Precise prediction of HRQOL changes after rehabilitation interventions is critical for optimizing stroke rehabilitation efficiency and efficacy. Machine learning (ML) has become a promising outcome prediction approach because of its high accuracy and easiness to use. Incorporating ML models into rehabilitation practice may facilitate efficient and accurate clinical decision making. Therefore, this study aimed to determine if ML algorithms could accurately predict clinically significant HRQOL improvements after stroke sensorimotor rehabilitation interventions and identify important predictors. Five ML algorithms including the random forest (RF), k-nearest neighbors (KNN), artificial neural network, support vector machine and logistic regression were used. Datasets from 132 people with chronic stroke were included. The Stroke Impact Scale was used for assessing multi-dimensional and global self-perceived HRQOL. Potential predictors included personal characteristics and baseline cognitive/motor/sensory/functional/HRQOL attributes. Data were divided into training and test sets. Tenfold cross-validation procedure with the training data set was used for developing models. The test set was used for determining model performance. Results revealed that RF was effective at predicting multidimensional HRQOL (accuracy: 85%; area under the receiver operating characteristic curve, AUC-ROC: 0.86) and global perceived recovery (accuracy: 80%; AUC-ROC: 0.75), and KNN was effective at predicting global perceived recovery (accuracy: 82.5%; AUC-ROC: 0.76). Age/gender, baseline HRQOL, wrist/hand muscle function, arm movement efficiency and sensory function were identified as crucial predictors. Our study indicated that RF and KNN outperformed the other three models on predicting HRQOL recovery after sensorimotor rehabilitation in stroke patients and could be considered for future clinical application.

Walking speed and home adaptations are associated with independence after stroke: a population-based prevalence study

This study aimed at estimating the prevalence of stroke in older adults in Brazil, and at identifying the sociodemographic, health-related, health service-related, and environmental factors associated with independence in daily activities. Across-sectional, population-based study (Brazilian Longitudinal Study of Aging 2015-2016) was conducted. 536 individuals (≥ 50 years), from 9,412 participants, have had stroke and were included. Prevalence of stroke was 5.3% among individuals aged 50 years and over, increasing up to 8.0% among individuals aged 75 years and over, showing a dissimilar pattern between sex. Independence was associated with walking speed (Prevalence Ratio (PR) 2.72, 95%CI: 1.96 to 3.77), physical activity (PR 1.24; 95%CI: 1.04 to 1.47) and use of walking devices (PR 0.63; 95%CI: 0.41 to 0.96). A significant interaction was found between walking speed plus home adaptations and performance of daily living activities (PR 3.42; 95%CI: 1.04 to 11.29). The probability of independence was 40% among slow walkers (< 0.4 m/s), increasing up to 70% among fast walkers (> 0.8 m/s), and to 90% among those who also have home adaptations. Faster walking speed combined with home adaptations was the main factor associated with long-term independence after stroke.

Does social isolation, social support or loneliness influence health or well-being after a cardiovascular disease event? A narrative thematic systematic review

Identification of factors which influence health after a cardiovascular disease (CVD) event will assist with reducing the high health and economic burden of CVD. We undertook a systematic review to investigate the association between social health (lower social isolation, higher social support and lower loneliness) and health and well-being after a CVD event among people living in Australia and New Zealand. Four electronic databases were systematically searched until June 2020. Two reviewers undertook title/abstract screen. One reviewer undertook full-text screen and data extraction. A second author either independently extracted or checked data. Narrative thematic analysis was undertaken. Of the 752 unique records retrieved, 39 papers from 29 studies met our inclusion criteria. Included studies recruited between 10 and 1,455 participants, aged 12-96 years, and the majority were male. Greater social health was consistently associated with better mental health outcomes (lower depressive symptoms, anxiety symptoms and psychological distress). Lower social isolation and higher social support were associated with the extent to which patient needs were being met. Living situation was not associated with mental health outcomes, and being married or living with someone was associated with greater medication adherence. Our systematic review demonstrates that greater social health is associated with better mental health outcomes and met patient needs among cardiac patients. As partner status and living status did not align with social isolation and social support findings in this review, we recommend they not be used as social health proxies when assessing health outcomes among CVD patients. Our review highlights the need for more research focused on women and the importance of gender-disaggregated reporting. Further assessment is required to evaluate whether loneliness is associated with health and well-being outcomes after a CVD event.

Resilience is an independent correlate of the course of quality of life in patients with first-ever ischemic stroke

OBJECTIVES

To explore the changes in quality of life from the acute hospitalization period to 6 months after discharge in patients with first-ever ischemic stroke and to identify the association between resilience and the course of quality of life.

DESIGN

A prospective longitudinal cohort study.

SETTING

This study was conducted in Shanghai, China.

PARTICIPANTS

Two hundred and seventeen stroke patients were recruited for an initial questionnaire survey from two tertiary hospitals from February 2017 to January 2018.

INTERVENTION

None.

MEASUREMENTS

Quality of life was measured using the Stroke Scale Quality of Life. Resilience was assessed using the Connor-Davidson Resilience Scale. Other validated measurement instruments included the modified Rankin Scale and Hospital Anxiety and Depression Scale. A multilevel model was used for the analysis of repeated measurements and to determine the association between resilience and quality of life.

RESULTS

Quality of life scores significantly improved over the 6 months after discharge (B = 7.31, p < .0001). The multilevel model indicated that resilience was positively correlated with the course of quality of life (B = .133, p < .0001), independent of stroke severity (B = -.051, p = .0006), neurological function (B = -.577, p < .0001), hospitalization days (B = .023, p = .0099), anxiety (B = -.100, p =< .0001), depression (B = -.149, p < .0001), time (B = .360, p < .0001), and the interactions of time with hospitalization days (B = -.008, p = .0002), neurological function (B = .021, p < .0024), depression (B = -.014, p = .0273), and time (B = -.031, p < .0001).

CONCLUSIONS

Resilience played an important role in predicting the self-reported course of quality of life in stroke patients. Our findings emphasized the reasonableness and importance of developing suitable resilience-targeted clinical strategies for improving prognosis in stroke patients.

Association of Neighborhood Socioeconomic Status With Outcomes in Patients Surviving Stroke

OBJECTIVE

To examine associations between neighborhood socioeconomic status (nSES) and 90-day poststroke outcomes.

METHODS

The Brain Attack Surveillance in Corpus Christi Project is a population-based surveillance study in Nueces County, Texas. Patients with strokes were identified between 2010 and 2016 via active and passive surveillance and enrolled in the study. nSES index is a standardized composite of 2010 Census tract-level income, wealth, education, and employment (median -4.56, interquartile range -7.48 to -0.46). The 90-day outcomes were ascertained via interview: functional status measured by the average of 22 activities of daily living/instrumental activities of daily living (range 1-4), biopsychosocial health by the Stroke-Specific Quality of Life scale (range 0-5), and depressive symptoms by the 8-item Patient Health Questionnaire (range 0-24). Associations between nSES and outcomes were estimated using confounder-adjusted generalized estimating equations with an nSES × NIH Stroke Scale score interaction term.

RESULTS

Seven hundred seventy-six survivors made up the analytical sample (52.96% male, 62.24% Mexican American, 52.96% ≥64 years old). Higher compared to lower nSES (mean difference comparing 75th to 25th percentile of nSES) was associated with better function (-0.27, 95% confidence interval [CI] -0.49 to -0.05), better biopsychosocial health (0.26, 95% CI 0.06-0.47), and fewer depressive symptoms (-1.77, 95% CI -3.306 to -0.48) among those with moderate to severe strokes. Among those with minor strokes, higher nSES was associated with better function (-0.13, 95% CI -0.24 to -0.02).

CONCLUSIONS

nSES may influence poststroke recovery. Studies should identify neighborhood characteristics that contribute to poststroke outcomes, particularly in moderate to severe stroke survivors.

Long-term psychosocial outcome following mild traumatic brain injury and minor stroke: a direct longitudinal comparison

Background and purpose

Research suggests comparable long-term psychosocial outcomes following mild traumatic brain injury (mTBI) and minor stroke, but no direct comparison has been made. This study aimed to directly compare psychosocial outcome over time in persons with mTBI and minor stroke.

Methods

In this multicenter, prospective longitudinal cohort study, community-dwelling persons with mTBI (n = 182) and minor stroke (n = 48) were assessed at 6 weeks, 3, 6 and 12 months post-injury. Outcome measures included anxiety and depression symptoms (Hospital Anxiety and Depression Scale—HADS), cognitive problems in daily life (Checklist for Cognitive and Emotional Consequences of Stroke—CLCE-24) and quality of life (EuroQol-5D-5L—EQ-5D-5L). Multilevel growth curve modeling, controlled for demographic variables, was used to determine outcomes over time between groups. Proportions of persons reporting persistent psychosocial symptoms at 6 months post-injury were compared using Pearson’s Chi-squared tests.

Results

Improvements in outcomes were observed in the first 6 months and effects stabilized to 12 months post-injury in both groups. Minor stroke cases reported significantly higher levels of HADS anxiety and a significantly reduced increase in EQ-5D-5L utility scores than mTBI cases, but differences were small in absolute numbers. No significant differences were observed between groups regarding HADS depression and CLCE-24 cognition scores. Proportions of persons reporting persistent psychosocial symptoms were equal between groups.

Conclusions

Psychosocial outcome is largely comparable following mTBI and minor stroke. Specific attention should be paid to anxiety symptoms and cognitive problems in daily life for which uniform aftercare seems appropriate.

Association of Health Utility Score with Physical Activity Outcomes in Stroke Survivors

Health-related quality of life (HRQoL) after stroke tends to vary across studies or across stages of stroke. It is useful to use the health utility score to compare HRQoL across studies. Physical activity after stroke also tends to vary similarly. The purpose of the present study was to determine associations between the health utility score and physical activity outcomes in stroke survivors. This cross-sectional study recruited stroke survivors who could ambulate outside, free of assistance. We assessed the health utility score with the EuroQoL 5-Dimension 3-Level questionnaire. The physical activity outcomes were the number of steps taken and duration of moderate-to-vigorous physical activity (MVPA) as measured with an accelerometer. Multiple linear regression analyses were used to determine whether the physical activity outcomes were independently associated with the health utility score. Fifty patients (age: 68.0 years; 40 men, 10 women) were included. Multiple linear regression analysis showed the health utility score to be significantly associated with the number of steps taken (β = 0.304, p = 0.035) but not with MVPA. This is the first study to examine the association between the health utility score and objectively measured physical activity in stroke survivors. Promoting physical activity especially by increasing the number of steps taken might be a priority goal in improving a patient's health utility score after stroke.

Determinants of Health Status After Stroke: A Cohort Study with Repeated Measurements

Background

Knowledge about the long-term course of health following stroke is sparse and relies mainly on studies with short follow-up or few measurements per patient. We aimed to describe the course and analyze the determinants of the course of physical and mental health status after stroke with repeated measurements in a large population-based cohort of first time Danish stroke patients.

Methods

We followed 2,414 first time stroke patients admitted to any hospital in the Central Denmark Region, Denmark, between October 1, 2008 and January 1, 2012, with five questionnaires over a 2 years period. Self-rated health was assessed by the SF-12 instrument. Information on possible clinical and patient-related determinants of self-rated health was obtained from questionnaires and national registers. The scores were analyzed at five selected fixed time-points and as well as longitudinally with mixed models.

Results

The SF-12 mental component summary score (MCS) increased with 0.89 points/year (95% CI=0.6–1.2), while the increase in the physically component summary score (PCS) did not reach statistical significance (0.13/year; 95% CI=−0.2–0.5). The most pronounced changes were seen in the Vitality and Role Physical SF-12 subscales, which both increased by 2.1 points/year. No statistically significant changes over time were found in the Physical Functioning and Bodily Pain subscales. Variables associated with increasing self-rated mental health (MCS) were no comorbidity, older age, male gender, and mild stroke severity. Variables associated with increasing ratings of physical health (PCS) were mild stroke severity, no comorbidity, higher educational level, and younger age. The negative impact of age increased significantly with time during the follow-up period for physical as well as mental health, while the effects of the other variables were stable over time. The results were similar in the two analytical approaches.

Conclusion

In a large, geographically well-defined population of first time stroke patients, the majority of SF-12 sub-scales and the mental component score improved slightly over time. Small improvements in self-rated mental health may be observed during the first 2 years after the stroke. Stroke is a disease with long-term consequences on a wide range of health aspects. Level as well as course differ between sub-groups, and treatment of comorbidity may be an important target with respect to rehabilitation.

Does overground robotic gait training improve non-motor outcomes in patients with chronic stroke? Findings from a pilot study

Stroke is the leading cause of disability among the elderly in the industrialized world. No more than 40% of stroke survivors walk independently, and only after receiving appropriate rehabilitation treatment; many stroke patients have also non-motor symptoms. The aim of this pilot study is to evaluate the effects of Ekso-training on non-motor outcomes, including gastrointestinal function and psychological well-being, in post stroke patients. We enrolled 30 post-stroke subjects, which were randomized into two groups in order of recruitment: 15 patients were trained with the overground exoskeleton Ekso-GT (experimental group, EG), whereas 15 patients were submitted to a standard gait training (control group, CG). Both the groups underwent the same amount of physiotherapy. At the end of the training, only in the EG we observed a significant improvement in constipation, mood, and coping strategies, with regard to social support, as well as in the perception of quality of life (as per SF-12). According to these preliminary data, overground robotic gait training can be considered a valuable tool in improving non-motor symptoms, including constipation and behavioral disorders in patients with chronic stroke.

Factors Affecting Quality of Life among Post-Stroke Patients in the Sub-Himalayan Region

Background  Stroke is one of the most debilitating conditions contributing to significant disability and death globally. Identifying risk factors for quality of life (QoL) will enable to improve home-based rehabilitation in post-stroke phase.

Objective  This study was aimed to identify the risk factors of QoL in stroke patients in the sub-Himalayan region.

Materials and Methods  A cross-sectional hospital-based study assessed the QoL among stroke patients within a week after the onset of acute stroke and then re-evaluated at 3 months. World Health Organization QoL-BREF, Beck Depression Inventory, the Barthel Index, and Montreal Cognitive Assessment (MOCA) were used to seek data on QoL, depression, cognitive, and functional dependence status, respectively. Appropriate statistics were used to compute the results.

Results  In total, 129 stroke patients recruited, out of which 102 returned to a 3-month follow-up. QoL, MOCA, disability index, and depression score were compared using Wilcoxon Singed-rank test. In multivariate analysis, depression and disability together predicted 60% of the variance for physical QoL ( p < 0.0001). Similarly, poststroke depression and disability together predicted 61% of the variance for psychological QoL ( p < 0.0001) in stroke patients.

Conclusion  Findings indicated that depression and disability are leading risk factors of QoL in stroke patients. Early identification of poststroke depression and functional dependence status is, therefore, essential to devise screening procedure and to develop targeted intervention to improve rehabilitation outcomes.

Social participation is an important health behaviour for health and quality of life among chronically ill older Chinese people

BACKGROUND

Health behaviours (physical activity, maintenance of a healthy diet and not smoking) are known to be beneficial to the health and well-being of chronically ill people. With China's ageing population and increased prevalence of people with chronic diseases, the improvement of unhealthy behaviours in this population has become crucial. Although recent studies have highlighted the importance of social participation for health and quality of life (QoL) among older people, no study to date has included social participation along with more traditional health behaviours. Therefore, this study aimed to identify associations of multiple health behaviours (social participation, physical activity, maintenance of a healthy diet and not smoking) with health and QoL outcomes (including cognitive and physical function) among chronically ill older adults in China.

METHODS

For this nationally representative cross-sectional study, wave 1 data from the World Health Organization's Study on global AGEing and adult health (China) were examined. In total, 6629 community-dwelling older adults (mean age, 64.9 years) with at least one chronic disease were included. Multivariate linear regression analyses were used to evaluate associations of health behaviours with health and QoL outcomes while controlling for background characteristics.

RESULTS

Greater social participation was associated with better QoL [β = 0.127, standard error (SE) = 0.002, p < 0.001], cognitive function (β = 0.154, SE = 0.033, p < 0.001) and physical function (β = - 0.102, SE = 0.008, p < 0.001). Physical activity was associated with better QoL (β = 0.091, SE = 0.015, p < 0.001) and physical function (β = - 0.155, SE = 0.062, p < 0.001). Sufficient fruit and vegetable consumption was associated with better QoL (β = 0.087, SE = 0.015, p < 0.001).

CONCLUSIONS

Our findings suggest that social participation is an important health behaviour for quality of life and cognitive function among chronically ill older people in China. Health promotion programmes should expand their focus to include social participation as a health behaviour, in addition to physical activity, maintenance of a healthy diet and not smoking.

Stroke-Specific Quality of Life one-year post-stroke in two Scandinavian country-regions with different organisation of rehabilitation services: a prospective study

Purpose: To compare stroke-specific health related quality of life in two country-regions with organisational differences in subacute rehabilitation services, and to reveal whether organisational factors or individual factors impact outcome.Materials and methods: A prospective multicentre study with one-year follow-up of 369 first-ever stroke survivors with ischaemic or haemorrhagic stroke, recruited from stroke units in North Norway (n = 208) and Central Denmark (n = 161). The 12-domain Stroke-Specific Quality of Life scale was the primary outcome-measure.Results: The Norwegian participants were older than the Danish (M_age= 69.8 vs. 66.7 years, respectively), had higher initial stroke severity, and longer stroke unit stays. Both cohorts reported more problems with cognitive, social, and emotional functioning compared to physical functioning. Two scale components were revealed. Between-country differences in the cognitive-social-mental component showed slightly better function in the Norwegian participants. Depression, anxiety, pre-stroke dependency, initial stroke severity, and older age were substantially associated to scale scores.Conclusions: Successful improvements in one-year functioning in both country-regions may result from optimising long-term rehabilitation services to address cognitive, emotional, and social functioning. Stroke-Specific Quality of Life one-year post-stroke could be explained by individual factors, such as pre-stroke dependency and mental health, rather than differences in the organisation of subacute rehabilitation services.IMPLICATIONS FOR REHABILITATIONThe stroke-specific health related quality of life (SS-QOL) assessment tool captures multidimensional effects of a stroke from the perspective of the patient, which is clinically important information for the rehabilitation services.The cognitive-social-mental component and the physical health component, indicate specific functional problems which may vary across and within countries and regions with different organisation of rehabilitation services.For persons with mild to moderate stroke, longer-term functional improvements may be better optimised if the rehabilitation services particularly address cognitive, emotional, and social functioning.

Responsiveness and Predictive Validity of the Participation Measure-3 Domains, 4 Dimensions in Survivors of Stroke

OBJECTIVES

To examine the responsiveness and predictive validity of the Participation Measure-3 Domains, 4 Dimensions (PM-3D4D) in people receiving outpatient rehabilitation following stroke.

DESIGN

Prospective cohort observational study.

SETTING

Outpatient rehabilitation settings.

PARTICIPANTS

Volunteer patients (N=269) with stroke (mean age ± SD [y], 55.36±12.46; 70.26% male).

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURES

The PM-3D4D was designed to measure 3 domains (Productivity, Social, and Community) and 4 dimensions (Diversity, Frequency, Desire for change, and Difficulty) of participation in individuals with rehabilitation needs. All participants completed the PM-3D4D, the Participation Assessment with Recombined Tools-Objective (PART-O), the Participation Measure for Post-Acute Care (PM-PAC), and the EuroQol-5-Dimension (EQ-5D) at the baseline assessment and again following 3 months of outpatient rehabilitation.

RESULTS

Significant mean changes in scores were observed for most of the PM-3D4D subscales, with the largest score change observed in the Difficulty subscale (standardized response mean=0.57∼0.88). The minimal detectable change and meaningful clinically important differences were calculated for each subscale. The Frequency and Difficulty dimensions of the PM-3D4D demonstrated significantly greater responsiveness than the PART-O and PM-PAC, respectively. The baseline PM-3D4D scores, except for Desire for change subscales, were significantly correlated with the PART-O, PM-PAC, and EQ-5D scores after 3 months of rehabilitation.

CONCLUSIONS

This study provides evidence supporting the responsiveness and predictive validity of the PM-3D4D in survivors of stroke. Among all subscales of the PM-3D4D, the Difficulty dimensional scale demonstrated the greatest responsiveness. The Desire for change dimension of the PM-3D4D showed less responsiveness, and we recommend that it be used as a goal-setting tool rather than an outcome measure. The PM-3D4D can potentially be used to predict participation outcomes and the health-related quality of life following rehabilitation interventions.

Relationship between functional independence and psychosocial quality of life of stroke survivors undergoing outpatient rehabilitation in Maiduguri, Nigeria

BACKGROUND

There are divergent findings on the impact of functional independence on psychosocial quality of life (QoL) of stroke survivors.

AIM

To investigate the relationship between functional independence and psychosocial QoL among stroke survivors in Maiduguri, Nigeria.

METHODS

A cross-sectional design was utilized, and functional independence and psychosocial QoL of consecutive stroke survivors undergoing rehabilitation were assessed with the motor subscale of the Functional Independence Measure (motor- FIM) and the psychosocial subscale of the Stroke-Specific Quality of Life Scale-12 (SS-QoL- 12) respectively. Relationships between the two variables were explored with Pearson's correlation coefficients and multivariable regression analysis.

RESULTS

Fifty-nine stroke survivors participated in the study with a male majority (54.2%). Correlation between motor-FIM and the psychosocial subscale scores was not statistically significant (r = 0.24; p = 0.07) while correlation between motor-FIM and each item of the psychosocial subscale showed that a statistically significant correlation (r = 0.29; p = 0.02) was present for the 'mood' item only. Functional independence however did not statistically contribute to the multivariable regression model (R2 = 0.22; P < 0.01) for the 'mood' item after controlling for the effect of the participants' age and sex.

CONCLUSION

Functional independence had no independent or statistically significant relationship with overall psychosocial QoL. Further studies are therefore needed to explore modifiable factors that influence psychosocial QoL of stroke survivors in our setting.

HeART of Stroke: randomised controlled, parallel-arm, feasibility study of a community-based arts and health intervention plus usual care compared with usual care to increase psychological well-being in people following a stroke

INTRODUCTION

People often experience distress following stroke due to fundamental challenges to their identity.

OBJECTIVES

To evaluate (1) the acceptability of 'HeART of Stroke' (HoS), a community-based arts and health group intervention, to increase psychological well-being; and (2) the feasibility of a definitive randomised controlled trial (RCT).

DESIGN

Two-centre, 24-month, parallel-arm RCT with qualitative and economic components. Randomisation was stratified by centre and stroke severity. Participant blinding was not possible. Outcome assessment blinding was attempted.

SETTING

Community.

PARTICIPANTS

Community-dwelling adults ≤2 years poststroke recruited via hospital clinical teams/databases or community stroke/rehabilitation teams.

INTERVENTIONS

Artist-facilitated arts and health group intervention (HoS) (ten 2-hour sessions over 14 weeks) plus usual care (UC) versus UC.

OUTCOMES

The outcomes were self-reported measures of well-being, mood, capability, health-related quality of life, self-esteem and self-concept (baseline and 5 months postrandomisation). Key feasibility parameters were gathered, data collection methods were piloted, and participant interviews (n=24) explored the acceptability of the intervention and study processes.

RESULTS

Despite a low recruitment rate (14%; 95% CI 11% to 18%), 88% of the recruitment target was met, with 29 participants randomised to HoS and 27 to UC (57% male; mean (SD) age=70 (12.1) years; time since stroke=9 (6.1) months). Follow-up data were available for 47 of 56 (84%; 95% CI 72% to 91%). Completion rates for a study-specific resource use questionnaire were 79% and 68% (National Health Service and societal perspectives). Five people declined HoS postrandomisation; of the remaining 24 who attended, 83% attended ≥6 sessions. Preliminary effect sizes for candidate primary outcomes were in the direction of benefit for the HoS arm. Participants found study processes acceptable. The intervention cost an estimated £456 per person and was well-received (no intervention-related serious adverse events were reported).

CONCLUSIONS

Findings from this first community-based study of an arts and health intervention for people poststroke suggest a definitive RCT is feasible. Recruitment methods will be revised.

TRIAL REGISTRATION NUMBER

ISRCTN99728983.

Effects of high intensity speed-based treadmill training on ambulatory function in people with chronic stroke: A preliminary study with long-term follow-up

High intensity treadmill training has shown to be beneficial for stroke survivors, yet the feasibility and long-term effects remain unclear. In this study, we aimed to determine whether a 4-week high intensity speed-based treadmill training (HISTT) is feasible for chronic stroke survivors, and we examined its effects on ambulatory function, and long-term retention. Sixteen individuals post-stroke participated in 40 minutes of HISTT for four weeks at a frequency of three sessions per week. Gait speed was measured using the 10-meter walk test, endurance was measured using the 6-minute walk test, and quality of life was assessed using the Stroke Impact Scale (SIS) at baseline, post-training, and at 3-month follow-up. All participants successfully completed the training without any serious adverse events. Participants significantly increased fastest walking speed by 19%, self-selected walking speed by 18%, and walking endurance by 12% after the training. These improvements were maintained for 3 months after the intervention. Our results indicate that this modified speed-based high intensity walking program has the potential to be a feasible and effective method of gait training for stroke survivors. However, the small sample size and lack of a control group warrant caution in interpretation of results. Further studies are recommended to better understand effectiveness of this protocol in combination with other physical therapy interventions for functional recovery after stroke.

Association Between Anxiety, Depression, and Post-traumatic Stress Disorder and Outcomes After Ischemic Stroke

Background: Stroke patients are known to be at risk of developing anxiety, depression, and post-traumatic stress disorder (PTSD). Objective: To determine the overlap between anxiety, depression, and PTSD in patients after stroke and to determine the association between these disorders and quality of life, functional status, healthcare utilization, and return to work. Methods: A cross-sectional telephone survey was conducted to assess for depression, anxiety, PTSD, and health-related outcomes 6-12 months after first ischemic stroke in patients without prior psychiatric disease at a single stroke center. Results: Of 352 eligible subjects, 55 (16%) completed surveys. Seven subjects (13%) met criteria for probable anxiety, 6 (11%) for PTSD, and 11 for depression (20%). Of the 13 subjects (24%) who met criteria for any of these disorders, 6 (46%) met criteria for more than one, and 5 (39%) met criteria for all three. There were no significant differences in baseline characteristics, including stroke severity or neurologic symptoms, between those with or without any of these disorders. Those who had any of these disorders were less likely to be independent in their activities of daily living (ADLs) (54 vs. 95%, p < 0.001) and reported significantly worse quality of life (score of 0-100, median score of 50 vs. 80, p < 0.001) compared to those with none of these disorders. Conclusions: Anxiety, depression, and PTSD are common after stroke, have a high degree of co-occurrence, and are associated with worse outcomes, including quality of life and functional status.