Quality of life of post-stroke patients

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.

Ischemic perfusion radiomics: assessing neurological impairment in acute ischemic stroke

Introduction

Accurate neurological impairment assessment is crucial for the clinical treatment and prognosis of patients with acute ischemic stroke (AIS). However, the original perfusion parameters lack the deep information for characterizing neurological impairment, leading to difficulty in accurate assessment. Given the advantages of radiomics technology in feature representation, this technology should provide more information for characterizing neurological impairment. Therefore, with its rigorous methodology, this study offers practical implications for clinical diagnosis by exploring the role of ischemic perfusion radiomics features in assessing the degree of neurological impairment.

Methods

This study employs a meticulous methodology, starting with generating perfusion parameter maps through Dynamic Susceptibility Contrast-Perfusion Weighted Imaging (DSC-PWI) and determining ischemic regions based on these maps and a set threshold. Radiomics features are then extracted from the ischemic regions, and the t-test and least absolute shrinkage and selection operator (Lasso) algorithms are used to select the relevant features. Finally, the selected radiomics features and machine learning techniques are used to assess the degree of neurological impairment in AIS patients.

Results

The results show that the proposed method outperforms the original perfusion parameters, radiomics features of the infarct and hypoxic regions, and their combinations, achieving an accuracy of 0.926, sensitivity of 0.923, specificity of 0.929, PPV of 0.923, NPV of 0.929, and AUC of 0.923, respectively.

Conclusion

The proposed method effectively assesses the degree of neurological impairment in AIS patients, providing an objective auxiliary assessment tool for clinical diagnosis.

The impacts of a healthy lifestyle on the physical and mental health status of female stroke survivors in Australia

INTRODUCTION

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Predicting stroke risk after sepsis hospitalization with new-onset atrial fibrillation

BACKGROUND

New-onset atrial fibrillation (AF) during sepsis is common, but models designed to stratify stroke risk excluded patients with secondary AF. We assessed the predictive validity of CHA2DS2VASc scores among patients with new-onset AF during sepsis and developed a novel stroke prediction model incorporating presepsis and intrasepsis characteristics.

METHODS

We included patients ≥40 years old who survived hospitalizations with sepsis and new-onset AF across 21 Kaiser Permanente Northern California hospitals from January 1, 2011 to September 30, 2017. We calculated the area under the receiver operating curve (AUC) for CHA2DS2VASc scores to predict stroke or transient ischemic attack (TIA) within 1 year after a hospitalization with new-onset AF during sepsis using Fine-Gray models with death as competing risk. We similarly derived and validated a novel model using presepsis and intrasepsis characteristics associated with 1-year stroke/TIA risk.

RESULTS

Among 82,748 adults hospitalized with sepsis, 3992 with new-onset AF (median age: 80 years, median CHA2DS2VASc of 4) survived to discharge, among whom 70 (2.1%) experienced stroke or TIA outcome and 1393 (41.0%) died within 1 year of sepsis. The CHA2DS2VASc score was not predictive of stroke risk after sepsis (AUC: 0.50, 95% confidence interval [CI]: 0.48-0.52). A newly derived model among 2555 (64%) patients in the derivation set and 1437 (36%) in the validation set included 13 variables and produced an AUC of 0.61 (0.49-0.73) in derivation and 0.54 (0.43-0.65) in validation.

CONCLUSION

Current models do not accurately stratify risk of stroke following new-onset AF secondary to sepsis. New tools are required to guide anticoagulation decisions following new-onset AF in sepsis.

The efficacy of virtual reality for upper limb rehabilitation in stroke patients: a systematic review and meta-analysis

BACKGROUND

Stroke frequently gives rise to incapacitating motor impairments in the upper limb. Virtual reality (VR) rehabilitation has exhibited potential for augmenting upper extremity recovery; nonetheless, the optimal techniques for such interventions remain a topic of uncertainty. The present systematic review and meta-analysis were undertaken to comprehensively compare VR-based rehabilitation with conventional occupational therapy across a spectrum of immersion levels and outcome domains.

METHODS

A systematic search was conducted in PubMed, IEEE, Scopus, Web of Science, and PsycNET databases to identify randomized controlled trials about upper limb rehabilitation in stroke patients utilizing VR interventions. The search encompassed studies published in the English language up to March 2023. The identified studies were stratified into different categories based on the degree of immersion employed: non-immersive, semi-immersive, and fully-immersive settings. Subsequent meta-analyses were executed to assess the impact of VR interventions on various outcome measures.

RESULTS

Of the 11,834 studies screened, 55 studies with 2142 patients met the predefined inclusion criteria. VR conferred benefits over conventional therapy for upper limb motor function, functional independence, Quality of life, Spasticity, and dexterity. Fully immersive VR showed the greatest gains in gross motor function, while non-immersive approaches enhanced fine dexterity. Interventions exceeding six weeks elicited superior results, and initiating VR within six months post-stroke optimized outcomes.

CONCLUSIONS

This systematic review and meta-analysis demonstrates that adjunctive VR-based rehabilitation enhances upper limb motor recovery across multiple functional domains compared to conventional occupational therapy alone after stroke. Optimal paradigms likely integrate VR's immersive capacity with conventional techniques.

TRIAL REGISTRATION

This systematic review and meta-analysis retrospectively registered in the OSF registry under the identifier [ https://doi.org/10.17605/OSF.IO/YK2RJ ].

Peripheral vascular function in stroke: systematic review and meta-analysis

Peripheral vascular dysfunction, measured as flow-mediated dilation (FMD), is present across all phases of stroke recovery and elevates the risk for recurrent cardiovascular events. The objective of this systematic review and meta-analysis was to characterize baseline FMD in individuals' poststroke, with consideration for each phase of stroke recovery. Three databases (PubMed, CINAHL, and Embase) were searched between January 1, 2000 and October 12, 2023 for studies that examined baseline FMD in stroke. Three reviewers conducted abstract and full-text screening, data extraction, and quality assessment. A random effects model was used to estimate FMD across studies. Meta-regression was used to examine the impact of age and time since stroke (acute, subacute, chronic) on FMD. Twenty-eight studies with ischemic and hemorrhagic stroke were included. Descriptive statistics for the demographics and FMD values of each study are presented. For the meta-analysis, average estimate FMD was 3.9% (95% CI: 2.5-5.3%). We report a large amount of heterogeneity (Cochrane's Q P value <0.001, and I2 = 99.6%). Differences in average age and the time poststroke between studies were not significantly associated with differences in FMD values. Despite the large heterogeneity for FMD values across studies, our primary finding suggests that FMD remains impaired across all phases of stroke.NEW & NOTEWORTHY This systematic review and meta-analysis offers invaluable insight into poststroke vascular function. Despite the inherent heterogeneity among the 28 studies analyzed, we report that peripheral vascular dysfunction, as quantified by flow-mediated dilation, exists across all stages of stroke recovery. This finding underscores the importance for interventions that focus on improving vascular health and secondary stroke prevention.

Dynamic changes and lifetime effect of functional disability profiles for stroke patients: real-world evidence from South Korea

PURPOSE

This work aimed to investigate the long-term dynamic changes of functional disabilities and estimate lifetime outcomes of different functional disabilities after a stroke, using real-world data from a nationally representative South Korean cohort.

METHODS

Patients aged 18 and above with ischemic and hemorrhagic strokes were identified from the Korea Health Panel (KHP) data (2008-2018). Functional disabilities were repeatedly measured for patients aged 55 and over for the prevalence of disabilities associated with activities of daily living (ADL), and kernel smoothing means were estimated for each item. The lifetime survival function of stroke patients in Korea was adopted from another study utilizing the National Health Insurance Service of Korea's national sample cohort. By multiplying the disability-free proportion with the survival function throughout life, disability-free life expectancy (DFLE) for each ADL item was estimated. The loss-of-DFLE was calculated by subtracting the DFLE from age-, sex-, and calendar year-matched referents simulated from Korean life tables.

RESULTS

The KHP dataset included 466 stroke patients. The overall functional disability needs increased over time after stroke diagnosis. DFLE was lowest for bathing (10.1 years for ischemic stroke and 12.8 years for hemorrhagic stroke), followed by those for dressing and washing. Loss-of-DFLE was highest for bathing for ischemic and hemorrhagic strokes (7.2 and 10.7 years, respectively), indicating that this task required the most assistance for stroke patients compared with the other tasks. DFLEs were slightly lower than the quality-adjusted life expectancy of stroke patients.

CONCLUSION

Our findings provide valuable insights for resource allocation and policy decisions in long-term stroke care, potentially enhancing the quality of life for stroke survivors and caregivers.

Technology engagement is associated with higher perceived physical well-being in stroke patients prescribed smartwatches for atrial fibrillation detection

Background

Increasing ownership of smartphones among Americans provides an opportunity to use these technologies to manage medical conditions. We examine the influence of baseline smartwatch ownership on changes in self-reported anxiety, patient engagement, and health-related quality of life when prescribed smartwatch for AF detection.

Method

We performed a post-hoc secondary analysis of the Pulsewatch study (NCT03761394), a clinical trial in which 120 participants were randomized to receive a smartwatch-smartphone app dyad and ECG patch monitor compared to an ECG patch monitor alone to establish the accuracy of the smartwatch-smartphone app dyad for detection of AF. At baseline, 14 days, and 44 days, participants completed the Generalized Anxiety Disorder-7 survey, the Health Survey SF-12, and the Consumer Health Activation Index. Mixed-effects linear regression models using repeated measures with anxiety, patient activation, physical and mental health status as outcomes were used to examine their association with smartwatch ownership at baseline.

Results

Ninety-six participants, primarily White with high income and tertiary education, were randomized to receive a study smartwatch-smartphone dyad. Twenty-four (25%) participants previously owned a smartwatch. Compared to those who did not previously own a smartwatch, smartwatch owners reported significant greater increase in their self-reported physical health (β = 5.07, P < 0.05), no differences in anxiety (β = 0.92, P = 0.33), mental health (β = -2.42, P = 0.16), or patient activation (β = 1.86, P = 0.54).

Conclusions

Participants who own a smartwatch at baseline reported a greater positive change in self-reported physical health, but not in anxiety, patient activation, or self-reported mental health over the study period.

Cultural adaptation and validation of the Arabic version of the short 12-item stroke-specific quality of life scale

Background

Given the excessive length and inconsistent validity of the existing long stroke-specific quality of life (SS-QOL) scales, there is a need to validate a shorter measuring tool. The aim of this study was to validate the Arabic version of the short 12-item SS-QOL (SS-QOL-12-AR) and examine its validity measures and psychometric properties. Additionally, the study aimed to assess the QOL after stroke and identify the sociodemographic and clinical factors that influence it in Lebanon.

Methods

A cross-sectional study was conducted. The SS-QOL-12-AR structure was validated, and its reliability and internal consistency were assessed. The scale's specificity and sensitivity were evaluated and then compared with those of other SS-QOL scales. The correlation between each item and the overall scale were examined, and its convergent validity was evaluated.

Results

A total of 172 stroke survivors were included. The SS-QOL-12-AR structure was validated with a solution of two factors, with a Kaiser-Meyer-Olkin measure of sampling adequacy of 0.850 and a significant Bartlett's test of sphericity (p < 0.001). The Cronbach's alpha of the scale was 0.917. According to ROC curve analysis, the optimal cut-off point for distinguishing between lower and better QOL was 32.50. At this cut-off, the sensitivity and specificity were 70.0% and 71.2%, respectively. The area under the curve was 0.779 (95% CI 0.704-0.855, p < 0.001). The SS-QOL-12-AR demonstrated a strong and highly significant correlation with existing versions of the SS-QOL, confirming its convergent validity. 61.6% of stroke survivors had a lower QOL, which was significantly associated with poor stroke prognosis, increased physical dependence, current smoking, and alcohol abstinence.

Conclusion

The SS-QOL-12-AR exhibits strong validity and reliability, demonstrating excellent psychometric properties. The scale holds potential for application in clinical practice and research settings, enabling the measurement of stroke-related consequences and evaluation of management outcomes.

Associations of effort-reward imbalance at work and quality of life among workers after stroke: a one-year longitudinal study in Thailand

Stroke incidence is increasing among working-age population, but the role of psychosocial stress in the workplace in predicting quality of life (QoL) after stroke onset is understudied. This longitudinal study aimed to investigate the relationship between work stress, measured by the effort-reward imbalance (ERI) model, and QoL over one-year period among 103 Thai workers who had experienced a stroke. The study evaluated the effort (E)-reward (R) ratio and over-commitment, the extrinsic and intrinsic components of the ERI model, before discharge; QoL was repeatedly measured at baseline, six months, and 12 months after discharge, respectively, using the Short Form Version 2 (SF-12v2) indicators of physical and mental health composite scores. Generalized estimating equations were used to examine longitudinal relationships between work stress at baseline and QoL over one year by testing the hypotheses that E-R ratio and over-commitment would have direct effects on QoL, and potential moderating effects of over-commitment on E-R ratio and QoL. The results supported the ERI model partially, as over-commitment was significantly associated with poor mental health (coefficient - 8.50; 95% CI: -13.79, -3.20) after adjusting baseline sociodemographic, behavioral, and clinical characteristics, while the E-R ratio was not significantly associated with physical or mental health; the interaction between the E-R ratio and over-commitment was also not significant. These findings suggest that more attention should be paid to workers' personal coping skills and ability to handle work-related problems and prioritize interventions that address over-commitment to promote long-term mental health among workers with stroke.

Variations in Health-Related Quality of Life After Stroke: Insights From a Clinical Trial on Arm Rehabilitation With a Long-Term Follow-Up

Despite rehabilitation, stroke patients continue to have impaired function and reduced health-related quality of life (HRQoL) even in a chronic stage. However, no clear information is available on long-term variations in HRQoL. In this study, we aimed to report the short- and long-term changes in HRQoL in a subacute stroke sample that was enrolled in a clinical trial on arm rehabilitation. Thirty-nine stroke survivors (62% male, mean age 68 years) were assessed using the Stroke Impact Scale Version 2.0 (SIS 2.0) pre and post rehabilitation and at 6 months and 6 years follow-up. Long-term changes in physical function were explored through clinically meaningful changes in the Stroke Impact Scale-16 (SIS-16). After rehabilitation (P < .001), an overall improvement was found in all SIS domains except the memory and thinking, emotions, and communication domains. The baseline SIS-16 score (P < .001), the presence of a sensory deficit, and rehabilitation setting (P < .05) were factors related to the SIS-16 domain scores at the end of rehabilitation and at 6 months follow-up. Patients showed the most deterioration in the mobility (P < .001), strength (P < .003), and hand function (P < .05) domains 6 years after stroke. Stroke severity, male gender, and age ⩾65 years are related with a long-term HRQoL reduction after stroke.