Predictors of quality of life for chronic stroke survivors in relation to cultural differences: a literature review

Health-Related Quality of Life Among Patients With Stroke: A Cross-Sectional Study

PURPOSE

To assess levels and predictive factors of health-related quality of life (HRQOL) among stroke patients.

METHODS

The study employed a cross-sectional predictive correlational design. Levels of HRQOL were assessed using the Stroke-Specific Quality of Life (SS-QOL) scale, and the Hospital Anxiety and Depression Scale was employed to assess psychological aspects among 209 Saudi stroke patients. The analysis included demographic and medical variables to comprehensively explore influencing factors.

RESULTS

A two-step hierarchical multiple regression analysis was performed. The overall SS-QOL summary score (49 items) showed a mean score of 94.4 (SD = 8.1), indicating poor functioning. Nine predictor variables were found to significantly predict HRQOL levels, including age (β = -0.212, p ≤ .001), female (β = -5.33, p ≤ .001), unmarried (β = 2.48, p ≤ .001), low gross monthly income (GMI) (β = -9.02, p ≤ .001), medium GMI (β = -8.36, p ≤ .001), having a medical history of hypertension (β = 2.7, p ≤ .01), time since stroke (β = 3.26 p ≤ .001), and being a probable case of anxiety (β = -4.29, p ≤ .001) and/or depression (β = -2.75, p ≤ .001). These variables collectively explained ~76% of the variance in HRQOL scores (adjusted R2 = .762, F (16,192) = 42.6, p ≤ .001).

CONCLUSIONS

Stroke patients exhibited poor HRQOL levels influenced by various factors. Clinicians should consider these predictors and intervene early to enhance HRQOL among patients at risk, emphasizing the importance of optimizing patient outcomes.

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.

Effectiveness of Problem-Solving Therapy in Improving Patient Mental Health, Function, Quality of Life, and Mortality Post-Stroke: A Systematic Review

Problem-solving therapy (PST) is a potential psychological intervention aimed at preventing and treating psychological issues in stroke patients, although its efficacy is not clearly established. This systematic review assessed the effectiveness of PST in improving mental health, functioning, quality of life, and mortality in this population. Six databases were searched for literature indexed through March 2024, including the Cochrane Library, PubMed, Scopus, CINAHL, NeuroBITE, and OTseeker. This review (CRD42023483757) followed the PRISMA guidelines and the Cochrane Library Handbook, utilizing the RoB 2 tool and GRADE system to assess the quality of the evidence. It included eight randomized controlled trials (RCTs) involving 1249 patients with stroke. Among them, five RCTs showed that PST might improve depression. Additionally, individual RCTs demonstrated the efficacy of PST in addressing patient anxiety, apathy, and coping. With respect to mental health, PST might affect patient quality of life and mortality. However, the results of four RCTs demonstrated no effect of PST on patient functioning. The quality of evidence for the outcomes ranged from very low to high. PST may improve mental health, quality of life, and mortality in patients with stroke.

Acute clinical outcomes predict both generic and specific health-related quality of life six and 12 months after stroke: A one-year prospective study developed in a middle-income country

OBJECTIVE

To identify acute predictors of generic and specific health-related quality of life (HRQoL) six and 12 months after stroke in individuals from a middle-income country.

MATERIAL AND METHODS

This was a prospective study. The dependent outcomes assessed during six and 12 months after stroke included both generic and specific HRQoL (Short Form Health Survey-36 [SF-36] and stroke-specific quality of life [SSQOL]). The predictors were age, sex, education level, length of hospital stay, current living arrangement, stroke severity, functional independence, and motor impairment.

RESULTS

122 (59.9±14 years) and 103 (59.8±14.71 years) individuals were evaluated six and 12 months after stroke, respectively. Functional independence and sex were significant acute predictors of both generic and specific HRQoL. Functional independence was the strongest predictor (0.149≤R2≤0.262; 20.01≤F≤43.96, p<0.001), except for generic HRQoL at 12 months, where sex was the strongest predictor (R2=0.14; F=17.97, p<0.001).

CONCLUSION

Generic and specific HRQoL in chronic individuals six and 12 months after stroke, from a middle-income country, can be predicted based on functional independence, the strongest predictor, assessed in the acute phase, except for generic HRQoL at 12 months. Functional independence can be modified by rehabilitation strategies and thus should be considered for HRQoL prognoses at chronic phase.

Sex-Related Differences in Post-Stroke Anxiety, Depression and Quality of Life in a Cohort of Smokers

BACKGROUND

We aimed to study anxiety, depression and quality of life in smokers after stroke by sex.

METHODS

A longitudinal prospective study with a 24-month follow-up of acute stroke patients who were previously active smokers. Anxiety and depression were evaluated with the Hospital Anxiety and Depression scale, and quality of life was evaluated with the EQ-5D questionnaire.

RESULTS

One hundred and eighty patients participated (79.4% men); their mean age was 57.6 years. Anxiety was most prevalent at 3 months (18.9% in men and 40.5% in women) and depression at 12 months (17.9% in men and 27% in women). The worst perceived health occurred at 24 months (EQ-VAS 67.5 in men and 65.1 in women), which was associated with depression (p < 0.001) and Rankin Scale was worse in men (p < 0.001) and depression in women (p < 0.001). Continued tobacco use was associated with worse perceived health at 3 months in men (p = 0.034) and at 12 months in both sexes. Predictor variables of worse perceived health at 24 months remaining at 3 and 12 months were tobacco use in men and neurological damage in women.

CONCLUSION

Differences by sex are observed in the prevalence of anxiety and depression and associated factors and in the predictive factors of perceived health.

Psychometric properties of Fullerton Advanced Balance Scale in patients with stroke

BACKGROUND

Patients experience falls frequently after stroke. Preserved or acquired balance skills decrease fall risk and improve independence. Feasibility of Fullerton Advanced Balance Scale (FAB) has been shown in balance assessment in some neurological diseases except stroke.

OBJECTIVES

The purpose of this study was to investigate the reliability and validity of Turkish version of FAB (FAB-T) in patients with stroke (PwS).

METHODS

This cross-sectional study included 51 PwS (60.64 ± 7.66 years). Reliability analyses were conducted with Cronbach's alpha, intraclass correlation coefficient (ICC), and Spearman correlation analysis. Intra-rater and inter-rater reliability were assessed with three raters. FAB-T, Stroke Rehabilitation Assessment of Movement (STREAM), Brunnstrom Recovery Stages (BRS), Barthel Index (BI), and 36-Item Short Form Health Survey (SF-36) were used for convergent validity. Correlations of FAB-T with Berg Balance Scale (BBS) and Mini-Balance Evaluation Systems Test (Mini-BESTest) were measured for concurrent validity. Spearman correlation analysis was used for convergent and concurrent validity. For predictive validity patients' self-reports of falling were analyzed with ROC.

RESULTS

Intra-rater (ICC = 0.998) and inter-rater reliability (ICCs = 0.984; 0.984; 0.990), and internal consistency (Cronbach's alpha = 0.930) were excellent. FAB-T had good correlations with STREAM (ρ = 0.677) and BI (ρ = 0.628), moderate correlations with BRS (ρ = 0.504 and ρ = 0.579) and physical function of SF-36 (ρ = 0.436). FAB-T excellently correlated with Mini-BESTest and BBS (ρ = 0.928 and ρ = 0.942). The cutoff score of FAB-T was determined to be 21.5 points, with sensitivity of 84% and specificity of 61% (AUC = 0.749).

CONCLUSIONS

FAB-T is a reliable and valid balance assessment tool with an acceptable accuracy of fall prediction in PwS.

An machine learning model to predict quality of life subtypes of disabled stroke survivors

OBJECTIVE

Stroke causes serious physical disability with impaired quality of life (QoL) and heavy burden on health. The goal of this study is to explore the impaired QoL typologies and their predicting factors in physically disabled stroke survivors with machine learning approach.

METHODS

Non-negative matrix factorization (NMF) was applied to clustering 308 physically disabled stroke survivors in rural China based on their responses on the short form 36 (SF-36) assessment of quality of life. Principal component analysis (PCA) was conducted to differentiate the subtypes, and the Boruta algorithm was used to identify the variables relevant to the categorization of two subtypes. A gradient boosting machine(GBM) and local interpretable model-agnostic explanation (LIME) algorithms were used to apply to interpret the variables that drove subtype predictions.

RESULTS

Two distinct subtypes emerged, characterized by short form 36 (SF-36) domains. The feature difference between worsen QoL subtype and better QoL subtype was as follows: role-emotion (RE), body pain (BP) and general health (GH), but not physical function (PF); the most relevant predictors of worsen QoL subtypes were help from others, followed by opportunities for community activity and rehabilitation needs, rather than disability severity or duration since stroke.

INTERPRETATION

The results suggest that the rehabilitation programs should be tailored toward their QoL clustering feature; body pain and emotional-behavioral problems are more crucial than motor deficit; stroke survivors with worsen QoL subtype are most in need of social support, return to community, and rehabilitation.

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.

Interventions for improving self-efficacy in patients after stroke based on self-efficacy-related principles of Bandura's cognition theory: a systematic review and meta-analysis

BACKGROUND

Interventional approaches based on Bandura's cognition theory are effective in improving self-efficacy poststroke. However, a systematical investigation for identifying effectives therapeutic components of the intervention has not yet been conducted.

OBJECTIVE

This meta-analysis was conducted to systematically investigated the effects of interventions with different principles on improving self-efficacy after stroke.

METHODS

Searches were conducted in PubMed, EMBASE, CINAHL, PsycINFO, MEDLINE, Cochrane Library, and two randomized controlled trials registration websites for randomized controlled trials from inception to 18th January 2022. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were followed. The meta-analysis was performed using Review Manager and Stata software.

RESULTS

In total, 36 RCTs were included. Interventions using any one of the self-efficacy principles - principle 1 (Mastery), principle 2 (Modeling), principle 3 (Social persuasion), and principle 4 (Understanding), were more effective in improving self-efficacy in patients with stroke at post-training and follow-up, compared with the control group. Psycho-educational interventions might significantly improve self-efficacy in both post-intervention and follow-up stages, compared with control group. Meta-regression revealed time since stroke onset was significantly associated with effect sizes.

CONCLUSION

Interventions developed based on Bandura's cognition theory are beneficial to the improvement of self-efficacy. This review highlights principles of Bandura's cognition theory are worth considering to be integrated to interventions targeted at improving self-efficacy. The application of self-efficacy principles with Bandura's cognitive theory could be encouraged in clinical practice in the future.

PROTOCOL REGISTRATION NUMBER

PROSPERO CRD42020154984.

Test-Retest Reliability and Responsiveness of the Computerized Adaptive Test of Social Functioning in Persons With Stroke

OBJECTIVE

To examine the test-retest reliability, minimal detectable change (MDC), responsiveness, and efficiency of the Computerized Adaptive Test of Social Functioning (Social-CAT) in patients with stroke.

DESIGN

Repeated-assessments design.

SETTING

A department of rehabilitation of a medical center.

PARTICIPANTS

In total, 31 patients with chronic stroke and 65 patients with subacute stroke were recruited.

INTERVENTION

Not available.

MAIN OUTCOME MEASURE

Social-CAT.

RESULTS

The Social-CAT showed acceptable test-retest reliability (intraclass correlation coefficient, 0.80) and small random measurement error (MDC%: 18.0%). However, heteroscedasticity was found (r between the means and the absolute change scores: 0.32), so the MDC% adjusted cut-off score is recommended for determining real improvement. Regarding responsiveness, the Social-CAT showed large differences (Kazis' effect size and standardized mean response: 1.15 and 1.09, respectively) in subacute patients. Regarding efficiency, the Social-CAT required an average of 5 items and less than 2 minutes for completion.

CONCLUSIONS

Our findings indicate that the Social-CAT is a reliable and efficient measure with good test-retest reliability, small random measurement error, and good responsiveness. Thus, the Social-CAT is a useful outcome measure for routine monitoring of the changes in social function of patients with stroke.

Psychosocial factors as main predictors of quality of life 5 years after stroke: a cross-sectional study from a third-level Italian center

Stroke causes a significant reduction in health-related quality of life (HRQoL), and studies addressing its predictors often rely on models with few variables. This study aimed to assess the degree to which health status, health habits, and features of the environment predict HRQoL in stroke survivors with stable clinical condition. WHO Quality of Life questionnaire for old-Age subjects (WHOQOL-AGE) was used to assess HRQoL. We ran a multivariable linear regression to predict WHOQOL-AGE variation, entering measures of health state, bad habits, healthy behaviors, physical environment features, and social support. Patients were stroke survivors with a stable clinical condition, distance from acute event of more than 6 months, and National Institutes of Health Stroke Scale (NIHSS) of 10 or less. A total of 122 participants (47 females, 97 with ischemic stroke) were enrolled, the mean age was 64.1, mean NIHSS 2.9, and mean distance from the acute event was 5.1 years. State anxiety (β = -0.202), trait anxiety (β = -0.232), depression (β = -0.255), social support (β = 0.247), and functional independence (β = -0.210) predicted WHOQOL-AGE variation (Adj. R2 = 0.549). Our results show that psychological symptoms, reduced social network, and functional dependence together have a negative impact on HRQoL. These elements, which are partly stroke-specific, should be taken into account in the recovery process to enhance patients' health outcomes.

Factors Influencing Disabled Stroke Survivors' Quality of Life in Rural China: Based on the Structural Characteristics and Psychometric Properties of the SF-36 Assessment

Many stroke survivors' quality of life is impaired. Few studies of factors influencing their quality of life have been based on the factors tested by the short form 36 instrument. This study did so with 308 physically disabled stroke survivors in rural China. Principal components analysis was applied to refine the dimension structure of the short form 36 assessment, followed by backward multiple linear regression analysis to determine the independent factors influencing quality of life. The structure revealed differed from the generic structure in showing that the mental health and vitality dimensions are not unidimensional. Subjects who reported access to the outdoors as convenient demonstrated better quality of life in all dimensions. Those who exercised regularly achieved better social functioning and negative mental health scores. Other factors influencing a better quality of life in terms of physical functioning were younger age and not being married. Being older and better educated predicted better role-emotion scores. Being female correlated with better social functioning scores, while men scored better on bodily pain. Being less educated predicted higher negative mental health, while being less disabled predicted better physical and social functioning. The results suggest that the SF-36's dimension structure should be re-evaluated before using it to assess stroke survivors.

Functionality and quality of life in Brazilian patients 6 months post-stroke

Background

Surviving a stroke poses a social and economic impact that requires the care system to be reformulated and the patient to be addressed in a comprehensive approach.

Purpose

This study aims to investigate if there is a relationship between functional activities performed before the stroke, patients' clinical and hospitalization data, and functionality and quality of life measures in the first 6 months after the stroke.

Methods

This study used a prospective cohort of 92 patients. We investigated sociodemographic and clinical data, the modified Rankin Scale (mRS), and the Frenchay Activities Index (FAI) during hospitalization. The Barthel Index (BI) and EuroQol-5D (EQ-5D) were applied at the following time points: 30 days (T1), 90 days (T2), and 180 days (T3) following postictal state. Statistical analysis was conducted using Spearman's coefficient, Friedman's non-parametric test, and multiple linear regression models.

Results

No correlation was found between FAI, BI, and EQ-5D average scores. Severe patients, patients with comorbidities, and patients with extended hospital stays showed lower BI and EQ-5D scores □in the follow-up. BI and EQ-5D scores increased.

Conclusion

This research found no relationship between activities performed before the stroke and functionalities and quality of life after the stroke, but comorbidities and extended hospital stay were associated with worse outcomes.

Factors affecting the quality of life after ischemic stroke in young adults: a scoping review

PURPOSE

To synthesize the body of knowledge on the factors influencing the quality of life (QoL) after ischemic stroke (IS) in young adults.

METHODS

Guidelines regarding the scoping review methodology developed by the Joanna Briggs Institute, and the PRISMA-ScR checklist for a scoping review was used in this paper. A total of 1197 studies were identified through a bibliographic search in Web of Science, MEDLINE, PsycInfo, ScienceDirect, Scopus, and ProQuest Science Database. Articles published between the years 2000-2021 were included.

RESULTS

A total of nine papers were finally selected to respond to the research question. Three studies were prospective longitudinal studies compared QoL between young stroke and age-matched controls from the general population. Across all the analysed studies, 14 variables potentially associated with QoL were identified. QoL in young patients is mainly affected by clinical outcomes after IS (scored by the modified Rankin scale and the Barthel index-favourable initial functional status and higher independence in ADL leads to higher QoL) and psychological factors (post-stroke fatigue and depression-higher levels of fatigue and depression lead to lower QoL). The reviewed studies emphasized the importance of functional outcomes, post-stroke depression, fatigue and anxiety and early return to work.

CONCLUSION

Further longitudinal studies are needed to identify the trajectory of post-stroke psychosocial symptoms over time and other potential predictors of unfavourable long-term QoL, thus specific young stroke rehabilitation and stroke self-management support programmes should be developed (address physical, psychological factors which influence the psychosocial adaptation post-stroke and the perception of the QoL).

Health-related quality of life and its correlates among individuals with stroke during the COVID-19 pandemic

Strict safety procedures including lockdowns were adopted during the Corona virus (COVID-19) pandemic worldwide which might have influenced mental and physical health in affected communities. This study aimed to investigate the level of Health-related quality of life (HRQoL) and its correlates among individuals with stroke in Jordan during the COVID-19 pandemic. This was a cross-sectional study with a self-administered questionnaire, which included demographics, 12-item Short Form (SF-12) health survey, Depression Anxiety Stress Scale (DASS 21), and The Stroke Impact Scale 16 (SIS-16). Descriptive analyses were used to summarize study data. Factors significantly correlated with HRQoL were determined using Pearson correlation. A total of 97 individuals successfully completed the study with a mean age of 57.9 years (±57.9). The level of HRQoL (measured by SF-12) was significantly and negatively associated with mental health symptoms (depression, anxiety, and stress) and the stroke recovery subscale of the SIS-16. Furthermore, participants' HRQoL level was significantly and positively associated with participants' age, stroke chronicity, receiving rehabilitation, and amount of help asked from caregivers. Jordanians with stroke demonstrated a relatively low level of HRQoL and high levels of mental health symptoms during the COVID-19 pandemic. Healthcare administrators should carefully consider individuals with stroke HRQoL and its correlates while planning for future crises.

The Associated Factors of Quality of Life among Stroke Survivors: A Study in Indonesia

Background: The prevalence and burden of stroke are still high, especially in low and middle-income countries. Stroke affects the economy and physics related to the Quality of Life (QoL). Various QoL-associated factors, including sociodemographic, functional outcome, emotional, and cognitive function, were studied. However, there was very limited information about the QoL-associated factors among stroke survivors in Semarang, Indonesia.Purpose: This study aimed to identify the QoL-associated factors among stroke survivors in Semarang, Indonesia.Methods: This cross-sectional study was conducted in outpatient services and involved 57 ischemic stroke survivors using convenience sampling. Demographic and clinical information were obtained using medical records and questionnaires. The questionnaires were the Short Version of Specific Stroke Quality of Life (SS-QoL) to measure QoL, GRID-HAMD 17 to measure Post Stroke Depression (PSD), Mini-Mental Status Examination (MMSE) to measure cognitive impairment, Barthel–Index (BI) to measure functional outcome, Hamilton Anxiety Rating Scale (HAM-A) to measure anxiety, and Multidimensional Scale of Perceived Social Support (MSPSS) to measure social support. Linear regression was conducted in the model performance of QoL-associated factors.Results: The stroke duration was 155(18) days, and 50.9% of participants were males. The linear regression showed that age (-.164 95% CI -.412 - .084), marital status (3.937 95% CI 1.010 - 6.864), functional outcome (.127 95% CI .013 - .241), PSD (-1.090 95% CI -2.144 - -.036), cognitive function (.308 95% CI -.482 - 1.098) and anxiety (-.408 95% CI -1.125 - .268) were QoL-predictors (p<.001, adjusted R2=52.1). It is assumed that age, marital status, functional outcome, PSD, cognition, and anxiety significantly predict the QoL among ischemic stroke survivors.Conclusion: The QoL-associated factors were age, marital status, functional outcome, PSD, cognition, and anxiety. These associated factors of QoL should be considered as elements in formulating nursing interventions that aim to improve the good QoL among stroke survivors.

Understanding the Independent Predictors of Dysphagia-Related Quality of Life in Stroke Survivors

PURPOSE

It is important to pinpoint modifiable factors contributing to reduced dysphagia-related quality of life (QoL) in order to improve treatment outcomes and patient health given that a large proportion of stroke survivors experience dysphagia. The purpose of this exploratory study was to identify the independent predictors of dysphagia-related QoL in community-dwelling stroke survivors.

METHOD

A sample of 31 adult stroke survivors with dysphagia (M _age = 62 years; 23 males) and their partners (M _age = 57 years; seven males) participated in the study. Survivors were > 3 months poststroke and living with their partner. Backward regression analysis methods were employed to determine independent predictors of dysphagia-related QoL using scores from the Swallowing-Related Quality of Life questionnaire. Independent variables tested included age, employment status, receiving dysphagia treatment, number of medical conditions, level of diet modification, Stroke Impact Scale (SIS) scores, relationship with partner, partner age, partner employment status, partner burden, and partner depression.

RESULTS

Results indicated that number of survivor medical conditions, degree of diet modification, SIS emotional subscale score, and partner employment status significantly predicted dysphagia-related QoL (p < .001). More specifically, stroke survivors with more medical conditions or a partner who worked outside of the home had worse dysphagia-related QoL, and those with better mental health or a less modified diet had better dysphagia-related QoL.

CONCLUSION

Factors related to dysphagia-related QoL are multifactorial and include both survivor and spousal variables. The results of this exploratory study highlight the need for clinicians and researchers to consider patient function and needs more wholistically to maximize perceived QoL.

Negative Impact of Comorbidity on Health-Related Quality of Life Among Patients With Stroke as Modified by Good Diet Quality

Background

Comorbidity, along with aging, affects stroke-induced health-related quality of life (HRQoL). We examined the potential role of diet quality in modifying the association between comorbidity and HRQoL in patients with stroke.

Methods

A cross-sectional study was conducted on 951 patients with stroke from December 2019 to December 2020 across Vietnam. Comorbidity was assessed using the Charlson Comorbidity Index (CCI) items and classified into two groups (none vs. one or more). Diet quality was evaluated using the Dietary Approaches to Stop Hypertension Quality (DASH-Q) questionnaire, and HRQoL was measured using the RAND-36, with a higher score indicating better diet quality or HRQoL, respectively. Besides, socio-demographics, health-related behaviors (e.g., physical activity, smoking, and drinking), disability (using WHODAS 2.0), and health literacy were also assessed. Linear regression analysis was utilized to explore the associations and interactions.

Results

The proportion of patients with stroke aged ≥65 years and having comorbidity were 53.7 and 49.9%, respectively. The HRQoL scores were 44.4 ± 17.4. The diet quality was associated with higher HRQoL score (regression coefficient, B, 0.14; (95% confidence interval, 95% CI, 0.04, 0.23; p = 0.004), whereas comorbidity was associated with lower HRQoL score (B, −7.36; 95% CI, −9.50, −5.23; p < 0.001). In interaction analysis, compared to patients without comorbidity and having the lowest DASH-Q score, those with comorbidity and higher DASH-Q score had a higher HRQoL score (B, 0.21; 95% CI, 0.03, 0.39; p = 0.021).

Conclusion

The findings showed that good diet quality could modify the adverse impact of comorbidity on HRQoL in patients with stroke. Diet quality should be considered as a strategic intervention to improve the HRQoL of patients with stroke, especially those with comorbidity, and to promote healthier aging.

Health-Related Quality of Life and Its Related Factors in Survivors of Stroke in Rural China: A Large-Scale Cross-Sectional Study

Background

Stroke is a major health threat and the leading cause of mortality and disability in China. The aims of this study were to identify the possible influencing factors of health-related quality of life (HRQoL) and its domain-specific contents in stroke patients in rural areas in China.

Methods

A total of 1,709 stroke patients aged 36–79 years from the baseline data of Henan Rural Cohort study (n = 39,259) were included in the cross-sectional study. The Chinese version of the European Quality of Life Five Dimension (including mobility, self-care, usual activities, pain/discomfort, and anxiety/depression) Five Level Scale (EQ-5D-5L) and visual analog scale (VAS) were used to evaluate HRQoL in stroke patients. Tobit regression models, generalized linear models and binary logistic regression models were constructed to determine potential influencing factors of the EQ-5D utility index, as well as influencing factors of each domain and VAS score.

Results

The mean utility index and VAS scores of stroke patients were 0.885 (SD, 0.204), and 68.39 (SD, 17.31), respectively. Pain/discomfort (PD, 35.2%) and mobility (MO, 30.4%) were the most frequently reported issues. Regression models revealed that illiterate; a low monthly income; low physical activity intensity; and diabetes, anxiety, depression, or poor sleep quality were significantly associated with lower utility index and VAS scores among stroke patients. In addition, patients with stroke who were older, female, drinking, smoking, and consuming a high-fat diet, had a higher BMI, and lived with a stroke for a longer time, were also significantly associated with different dimensions of the EQ-5D.

Conclusion

Patients with stroke in rural areas in China had a low HRQoL. Factors associated with the EQ-5D utility index as well as each domain and VAS score, need to be considered by health providers in rural areas. Patients with stroke in rural areas need to be included in national basic public medical services and managed systematically by medical institutions.

Quality of life of post-stroke patients

Introduction

Stroke is a disease whose consequences have a considerable impact on the quality of the patient’s life. It is a widespread disease that has a disabling impact on life and, in addition to physical changes, brings about a number of psychological and cognitive processes.

Goal

The goal of the study was to identify and describe the quality of life of post-stroke patients.

Methodology

The study design was quantitative. A questionnaire of the authors’ own design and the SF-36 questionnaire were used to obtain the data.

Results

Significant differences in patient quality of life were identified in relation to patient gender. Moreover, the quality of life in all individual SF-36 dimensions, except for mental health, deteriorated with age. With regard to occupational placement, employed respondents gave the highest evaluation of quality of life according to SF-36 and old-age pensioners the lowest. The analysis shows that quality of life in individual dimensions is positively influenced by respondents’ higher education. The evaluation in individual dimensions improves with the time that has passed since the stroke.

Conclusion

The quality of life of post-stroke patients deteriorates with age. The deteriorating level of patient quality of life in older age requires programmes that include assessments and interventions that lead to the treatment of these patients.

Influence of Type D Personality on Health Promoting Behaviours and Quality of Life in Stroke Patients: A Cross-Sectional Study in South Korea

OBJECTIVES

Type D personality is vulnerable to stress and is associated with high symptom severity, unhealthy behaviors, and low quality of life (QoL) in patients with chronic diseases. This study aimed to identify the influence of type D personality on health promoting behaviors and QoL in patients with ischemic stroke in South Korea.

MATERIALS AND METHODS

A descriptive, cross-sectional design was used. This study collected data from a convenience sample of 170 patients with ischemic stroke. Demographic and clinical characteristics, health promoting behaviors, and QoL were compared between the type D personality group and the non-type D group. Stepwise multiple regression analysis was performed to identify factors influencing patients' QoL.

RESULTS

Of the 170 subjects, 39 (22.9%) were classified as having type D personality. Type D personality was associated with higher National Institutes of Health Stroke Scale scores at admission and discharge, higher modified Rankin Scale (mRS) scores at 3 months after stroke, lower scores for health promoting behaviors, and lower QoL. Regression analysis showed that mRS score 3 months after stroke was the most significant factor influencing QoL, followed by health promoting behaviors, type D personality, speech deficits, and family income.

CONCLUSIONS

Type D personality should be considered together with health promoting behaviors and QoL in patients with ischemic stroke. Interventions considering type D personality may be helpful in improving health promoting behavior and QoL for the stroke patients.

Health-related quality of life, anxiety and depression up to 12 months post-stroke: Influence of sex, age, stroke severity and atrial fibrillation - A longitudinal subanalysis of the Find-AFRANDOMISED trial

BACKGROUND

Stroke can negatively impact the health-related quality of life (HRQoL). Anxiety or depression after stroke have been associated with poorer HRQoL, higher mortality and greater dependence in activities of daily living. We aimed to analyze HRQoL, anxiety and depressive symptoms in patients with and without atrial fibrillation (AF) up to 12 months post-stroke.

METHODS

Find-AF_RANDOMISED was a prospective, randomized multicenter study, which included 398 patients ≥60 years with acute cerebral ischemia. HRQoL data were collected using the 3-level EuroQol-5D (EQ-5D-3L) and Stroke Impact Scale (SIS-16). Anxiety and depressive symptoms were measured using the Hospital Anxiety and Depression Scale (HADS). The severity of stroke was measured using the modified Rankin Scale (mRS).

RESULTS

In this study (mean age 72.7 ± 7.5 years, 40.2% females), there was a significant improvement in HRQoL using EQ-5D-3L after 3 months (β = 0.37, p < .01), 6 months (β = 0.43, p < .01) and 12 months (β = 0.44, p < .01) post-stroke compared to baseline. HADS anxiety scores after 3 months (β = -0.22, p < .01) and 12 months (β = -0.28, p < .01) were significantly reduced. Older patients reported reduced HRQoL and more depressive symptoms. Females indicated lower HRQoL and more anxiety. mRS score at baseline was an independent predictor for HRQoL. There was a significant but small effect of AF on EQ-5D-3L and on HADS anxiety.

CONCLUSIONS

Patients showed significant improvement in HRQoL and reduced anxiety after 3 and 12 months after stroke. We could demonstrate that the severity of stroke as well as sex and age impact long-term post-stroke HRQoL.

CLINICAL TRIAL REGISTRATION

Clinical Trial Registration-URL: http://www.clinicaltrials.gov. Unique identifier: NCT01855035.

Health related quality of life and satisfaction with care of stroke patients in Budapest: A substudy of the EuroHOPE project

BACKGROUND

Disadvantaged socioeconomic status is associated with higher stroke incidence and mortality, and higher readmission rate. We aimed to assess the effect of socioeconomic factors on case fatality, health related quality of life (HRQoL), and satisfaction with care of stroke survivors in the framework of the European Health Care Outcomes, Performance and Efficiency (EuroHOPE) study in Hungary, one of the leading countries regarding stroke mortality.

METHODS

We evaluated 200 consecutive patients admitted for first-ever ischemic stroke in a single center and performed a follow-up at 3 months after stroke. We recorded pre- and post-stroke socioeconomic factors, and assessed case fatality, HRQoL and patient satisfaction with the care received. Stroke severity at onset was scored by the National Institutes of Health Stroke scale (NIHSS), disability at discharge from acute care was evaluated by the modified Rankin Score (mRS). To evaluate HRQoL and patient satisfaction with care we used the EQ-5D-5L, 15D and EORTC IN PATSAT 32 questionnaires.

RESULTS

At 3 months after stroke the odds of death was significantly increased by stroke severity (NIHSS, OR = 1.209, 95%CI: 1.125-1.299, p<0.001) and age (OR = 1.045, 95%CI: 1.003-1.089, p = 0.038). In a multiple linear regression model, independent predictors of HRQoL were age, disability at discharge, satisfaction with care, type of social dwelling after stroke, length of acute hospital stay and rehospitalization. Satisfaction with care was influenced negatively by stroke severity (Coef. = -1.111, 95%C.I.: -2.159- -0.062, p = 0.040), and positively by having had thrombolysis (Coef. = 25.635, 95%C.I.: 5.212-46.058, p = 0.016) and better HRQoL (Coef. = 22.858, 95%C.I.: 6.007-39.708, p = 0.009).

CONCLUSION

In addition to age, disability, and satisfaction with care, length of hospital stay and type of social dwelling after stroke also predicted HRQoL. Long-term outcome after stroke could be improved by reducing time spent in hospital, i.e. by developing home care rehabilitation facilities thus reducing the need for readmission to inpatient care.

Life satisfaction of 511 elderly Chinese stroke survivors: moderating roles of social functioning and depression in a quality of life model

OBJECTIVE

Using a published quality of life model, to investigate the moderating roles played by social functioning and post-stroke depression in buffering the relationship between physical functioning and life satisfaction among elderly Chinese stroke survivors.

DESIGN

Cross-sectional survey through face-to-face interviews.

SETTING

Fangshan district of the Beijing Municipality in China.

PARTICIPANTS

A representative random sample of 511 community-dwelling elderly Chinese stroke survivors aged 60 years or above. In total, 127 participants were categorized as stroke survivors with clinical depression and 384 without.

MEASURES

Satisfaction With Life Scale, Center for Epidemiologic Studies Depression Scale, International Residential Assessment Instrument Activities of Daily Living Hierarchy scale, International Residential Assessment Instrument Instrumental Activities of Daily Living Performance scale, De Jong Gierveld Loneliness Scale, and Lubben Social Network Scale.

RESULTS

Analyses revealed that the unique variance shown by social functioning (16%) is more important than physical functioning (5%) or depressive symptoms (12%) in promoting life satisfaction among all elderly stroke survivors. The moderation model denotes the interaction effect between depressed mood and physical functioning (β = .152 to .176, p < .001) for all stroke survivors. For stroke survivors without clinical depression, loneliness (β = .264 to .287, p < .001) and social support (β = .115 to .151, p < .05) buffered the relationship between physical functioning and life satisfaction; whereas for those with clinical depression, only loneliness (β = -.264 to .236, p < .05) moderated the corresponding relationship.

CONCLUSIONS

Social functioning and post-stroke depression buffered the relationship between physical dependence and life satisfaction among elderly Chinese stroke survivors.

Brain Imaging Signs and Health-Related Quality of Life after Acute Ischemic Stroke: Analysis of ENCHANTED Alteplase Dose Arm

BACKGROUND AND PURPOSE

The influence of specific brain lesions on health-related quality of life (HRQoL) after acute ischemic stroke (AIS) is uncertain. We aimed to identify imaging predictors of poor HRQoL in alteplase-treated participants of the alteplase dose arm of the Enhanced Control of Hypertension and Thrombolysis Stroke Study (ENCHANTED).

METHODS

ENCHANTED was an international trial of low- versus standard-dose intravenous alteplase in AIS patients, with functional outcome (modified Rankin scale [mRS]) and HRQoL on the 5-dimension European Quality of Life Scale (EQ-5D) assessed at 90 days post-randomization. Brain images were analyzed centrally by trained assessors. Multivariable logistic regression was undertaken in the study population randomly divided (2:1) into training (development) and validation (performance) groups, with age (per 10-year increase), ethnicity, baseline National Institutes of Health Stroke Scale (NIHSS) score, diabetes mellitus, premorbid function (mRS score 0 or 1), and proxy respondent, forced into all models. Data are presented with odds ratios (ORs) and 95% confidence intervals (CIs).

RESULTS

Eight prediction models were developed and validated in 2,526 AIS patients (median age 67.5 years; 38.4% female; 61.7% Asian) with complete brain imaging and 90-day EQ-5D utility score data. The best performance model included acute ischemic changes in the right (OR 1.69, 95% CI: 1.24-2.29) and deep (OR 1.50, 95% CI: 1.03-2.19) middle cerebral artery (MCA) regions. Several background features of brain frailty - atrophy, white matter change, and old infarcts - were significantly associated with adverse physical but not emotional HRQoL domains.

CONCLUSIONS

In thrombolysed AIS patients, right-sided and deep ischemia within the MCA territory predict poor overall HRQoL, whilst features of old cerebral ischemia are associated with reduced physical HRQoL.

[Modern aspects of the pathophysiology of walking disorders and their rehabilitation in post-stroke patients]

The problem of rehabilitation of post-stroke patients with motor deficit remains relevant with growing prevalence of disability and decreasing mortality, despite all measures aimed at stroke prevention and morbidity reduction. One of the most common consequences of stroke is gait impairment as a result of spastic paresis of the lower limb (decreased gait velocity, shortened step, excessive loading of intact limb etc.), which leads to significant maladaptation, increased risk of falls, decrease in quality of life. The article presents a detailed review of motor action in normal and pathologic conditions, analysis of neuronal structures involved into a movement act in healthy individuals and in stroke patients, current aspects of gait pathophysiology, characteristics of post-stroke gait (speed and asymmetry of gain, balance control impairment). A separate paragraph is devoted to gait recovery after stroke with analysis of existing and developing strategies of rehabilitation, aimed at the improvement of vertical posture, balance control and movement, condition, tone and functioning of skeletal muscles. Authors also analyze new research information on the efficacy of botulinum toxin preparations and programs of Guided Self-Rehabilitation Contracts (GSC), present the results of clinical trials demonstrating the efficacy of combination of these two methods.

Value-based healthcare in ischemic stroke care: case-mix adjustment models for clinical and patient-reported outcomes

Background

Patient-Reported Outcome Measures (PROMs) have been proposed for benchmarking health care quality across hospitals, which requires extensive case-mix adjustment. The current study’s aim was to develop and compare case-mix models for mortality, a functional outcome, and a patient-reported outcome measure (PROM) in ischemic stroke care.

Methods

Data from ischemic stroke patients, admitted to four stroke centers in the Netherlands between 2014 and 2016 with available outcome information (N = 1022), was analyzed. Case-mix adjustment models were developed for mortality, modified Rankin Scale (mRS) scores and EQ-5D index scores with respectively binary logistic, proportional odds and linear regression models with stepwise backward selection. Predictive ability of these models was determined with R-squared (R²) and area-under-the-receiver-operating-characteristic-curve (AUC) statistics.

Results

Age, NIHSS score on admission, and heart failure were the only common predictors across all three case-mix adjustment models. Specific predictors for the EQ-5D index score were sex (β = 0.041), socio-economic status (β = − 0.019) and nationality (β = − 0.074). R²-values for the regression models for mortality (5 predictors), mRS score (9 predictors) and EQ-5D utility score (12 predictors), were respectively R² = 0.44, R² = 0.42 and R² = 0.37.

Conclusions

The set of case-mix adjustment variables for the EQ-5D at three months differed considerably from the set for clinical outcomes in stroke care. The case-mix adjustment variables that were specific to this PROM were sex, socio-economic status and nationality. These variables should be considered in future attempts to risk-adjust for PROMs during benchmarking of hospitals.

Health related quality of life in stroke patients and risk factors associated with patients for return to work

To clarify dynamic change of quality of life (QOL) in patients with stroke after treatment, and to explore the predictors associated with return to work (RTW) within 48 weeks.Patients diagnosed with stroke were enrolled. All patients enrolled were asked to fill in the Short Form 36 Health Survey. For patients with stroke, SF-36 questionnaires were measured repeatedly 4 weeks after treatment. We used phone call to find out if the patient was RTW. The investigation time was 48 weeks.Patients with stroke had lower scores in terms of physiological dimensions, such as physical functional, role limitations due to physical problems, and general health (P < .001). While patients with strokes scored significantly lower in all mental dimensions including vitality, social functioning, role limitations due to emotional problems, and mental health (P < .001). After 4-weeks treatment, we found that, except for bodily pain, scores in dimensions like physical functioning, role limitations due to physical problems, and general health had increased significantly (P < .001). Multivariate logistic regression analysis was conducted, and the result showed that older age (P = .04) and singleness (P = .03) were risk factors associated with QOL improvement in stroke patients after treatment. Outcomes of stroke patients within 48 weeks were explored. The results showed that 108 out of 136 patients RTW within 48 weeks. Average days it took for patients with cerebral infarction to return to work were 77 ± 79, significantly less than patients with cerebral hemorrhage (206 ± 159 days) and patients with subarachnoid hemorrhage (117 ± 113 days, P < .001). Multivariate analysis indicated that only QOL improvement (P = .04) and subtype of stroke (P = .01) were independent factors associated with RTW within 48 weeks.QOL of stroke patients was significantly reduced. After treatments, the physiological quality of stroke patients increased, but the psychological quality remained low. In addition, patients with cerebral hemorrhage and patients with no significant improvement in QOL are independent risk factors for RTW. Therefore, for this subgroup of the population, early diagnosis, close follow-up and monitor of the psychological state should be provided to avoid the occurrence of adverse events.

The Active Ingredient of Cognitive Restoration: A Multicenter Randomized Controlled Trial of Sequential Combination of Aerobic Exercise and Computer-Based Cognitive Training in Stroke Survivors With Cognitive Decline

OBJECTIVE

To investigate the efficacy of a sequential combination of aerobic exercise and cognitive training on cognitive function and other health-related outcomes in stroke survivors with cognitive decline.

DESIGN

Intervention study and randomized controlled trial.

SETTING

Hospital-based rehabilitation units.

PARTICIPANTS

Survivors of stroke with cognitive decline (N=30) were randomized to sequential combination training (SEQ) (n=15) or an active control (n=15) group.

INTERVENTIONS

The SEQ group received 30 minutes of aerobic exercise, followed by 30 minutes of computerized cognitive training. The control group received 30 minutes of nonaerobic physical exercise, followed by 30 minutes of unstructured mental activities.

MAIN OUTCOME MEASURES

The primary outcome measure was cognitive function. Secondary outcome measures included physical function, social participation, and quality of life.

RESULTS

Compared with the control group, the SEQ group had significantly improved Montreal Cognitive Assessment scores (P=.03) and Wechsler Memory Scale span scores (P=.012) after training. The endurance and mobility level measured by the 6-minute walk test (P=.25) was also enhanced in the SEQ group relative to the control group. However, the transfer of sequential training to social participation (Community Integration Questionnaire) and quality of life (EuroQoL questionnaire) was limited (P>.05 for both).

CONCLUSIONS

Aerobic exercise combined with computerized cognitive training has better effects on the cognitive functional status of survivors of stroke than an active control. The cognitive functional status of stroke survivors was better after participation in aerobic exercise combined with computerized training than after active control therapy, demonstrating the clinical significance of this combination therapy.