The association between socioeconomic status and disability after stroke: findings from the Adherence eValuation After Ischemic stroke Longitudinal (AVAIL) registry

Person and Environment Factors Supporting Self-Care Performance and Social Participation After Mild Stroke

Mild stroke survivors seldom receive occupational therapy services as their deficits are assumed to be minor enough to not affect their daily occupations. Yet many mild stroke survivors report deficits in self-care performance and social participation. This study investigates person and environment factors influencing self-care performance and social participation among mild stroke survivors, using the Person-Environment-Occupation-Performance (PEOP) model. A retrospective cohort analysis of 736 mild stroke survivors was conducted using electronic health records. Person factors included demographic characteristics and clinical characteristics, and environment factors included the Social Vulnerability Index. The analysis included logistic regression. Approximately, 10% of patients reported deficits in self-care or social participation. Disability level was the only person factor associated with self-care performance. Person factors affecting social participation included mobility and unemployment. Socioeconomic status was associated with both occupation measures. Occupational therapy practitioners must address the person and environment factors affecting mild stroke survivors' self-care performance and social participation.

Influence of Socioeconomic Status on Functional Outcomes After Stroke: A Systematic Review and Meta-Analysis

BACKGROUND

This review aimed to quantify the impact of socioeconomic status on functional outcomes from stroke and identify the socioeconomic status indicators that exhibit the highest magnitude of association.

METHODS AND RESULTS

We performed a systematic literature search across Medline and Embase from inception to May 2022, to identify observational studies (n≥100, and in English). Risk of bias was assessed using the modified Newcastle Ottawa Scale. Random effects meta-analysis was used to pool data. We included 19 studies (157 715 patients, 47.7% women) reporting functional outcomes measured with modified Rankin Scale or Barthel index, with 10 assessed as low risk of bias. Measures of socioeconomic status reported were education (11 studies), income (8), occupation (4), health insurance status (3), and neighborhood socioeconomic deprivation (3). Pooled data suggested that low socioeconomic status was significantly associated with poor functional outcomes, including incomplete education or below high school level versus high school attainment and above (odds ratio [OR], 1.66 [95% CI, 1.40-1.95]), lowest income versus highest income (OR, 1.36 [95% CI, 1.02-1.83]), a manual job/being unemployed versus a nonmanual job/working (OR, 1.62 [95% CI, 1.29-2.02]), and living in the most disadvantaged socioeconomic neighborhood versus the least disadvantaged (OR, 1.55 [95% CI, 1.25-1.92]). Low health insurance status was also associated with an increased risk of poor functional outcomes (OR, 1.32 [95% CI, 0.95-1.84]), although this was association was not statistically significant.

CONCLUSIONS

Despite great strides in stroke treatment in the past decades, social disadvantage remains a risk factor for poor functional outcome after an acute stroke. Further research is needed to better understand causal mechanisms and disparities.

Biopsychosocial factors associated with the state of disability after hemiparesis in the chronic phase of stroke: exploratory analysis based on the International Classification of Functioning, Disability and Health

OBJECTIVE

To identify the main biopsychosocial factors associated with disability level after stroke using the International Classification of Functioning, Disability and Health (ICF) model.

METHODS

A cross-sectional study was conducted with chronic stroke survivors. Disability was assessed using the World Health Disability Assessment Schedule 2.0. The independent variables were: Body functions: emotional functioning and whether the dominant upper limb was affected. For the Activities & Participation component, satisfaction regarding the execution of activities and participation were assessed using the SATIS-Stroke, as well as the locomotion ability for adults (ABILOCO), manual ability (ABILHAND) and the return to work. For environmental factors, income and facilitators and obstacles were assessed using the Measure of the Quality of the Environment (MQE). Personal factors: age and sex. Multiple Linear Regression was employed.

RESULTS

Limited locomotor ability (β = -0.281; t = -3.231 p = 0.002), dissatisfaction regarding activities and participation (β = -0.273; t = -3.070 p = 0.003), and the non-return to work (β = 0.162; t = 2.085 p = 0.04) were associated with disability.

CONCLUSION

The reduction in locomotor ability, dissatisfaction regarding activities and participation and the non-return to work were associated with disability in the chronic phase following a stroke.

Mediation Analyses of the Mechanisms by Which Socioeconomic Status, Comorbidity, Stroke Severity, and Acute Care Influence Stroke Outcome

BACKGROUND AND OBJECTIVES

Low socioeconomic status (SES) is associated with increased risk of death and disability after stroke, but interventional targets to minimize disparities remain unclear. We aim to assess the extent to which SES-based disparities in the association between low SES and death and dependency at 3 months after stroke could be eliminated by offsetting differences in comorbidity, stroke severity, and acute care.

METHODS

This nationwide register-based cohort study included all 72 hospitals caring for patients with acute stroke in Sweden. All patients registered with an acute ischemic stroke in the Swedish Stroke Register in 2015-2016 who were independent in activities of daily living (ADL) during stroke were included. Data on survival and SES the year before stroke were retrieved by cross-linkage with other national registers. SES was defined by education and income and categorized into low, mid, and high. Causal mediation analysis was used to study the absolute risk of death and ADL dependency at 3 months depending on SES and to what extent hypothetical interventions on comorbidities, stroke severity, and acute care would equalize outcomes.

RESULTS

Of the 25,846 patients in the study, 6,798 (26.3%) were dead or ADL dependent 3 months after stroke. Adjusted for sex and age, low SES was associated with an increased absolute risk of 5.4% (95% CI 3.9%-6.9%; p < 0.001) compared with mid SES and 10.1% (95% CI 8.1%-12.2%; p < 0.001) compared with high SES. Intervening to shift the distribution of all mediators among patients with low SES to those of the more privileged groups would result in absolute reductions of these effects by 2.2% (95% CI 1.2%-3.2%; p < 0.001) and 4.0% (95% CI 2.6%-5.5%; p < 0.001), respectively, with the largest reduction accomplished by equalizing stroke severity.

DISCUSSION

Low SES patients have substantially increased risks of death and ADL dependency 3 months after stroke compared with more privileged patient groups. This study suggests that if we could intervene to equalize SES-related differences in the distributions of comorbidity, acute care, and stroke severity, up to 40 of every 1,000 patients with low SES could be prevented from dying or becoming ADL dependent.

Socioeconomic Inequalities in Functional Outcome After Reperfusion-Treated Ischemic Stroke

BACKGROUND

We aimed to investigate whether socioeconomic status (SES) was associated with functional outcome in patients with ischemic stroke treated with reperfusion therapy (intravenous thrombolysis and/or thrombectomy).

METHODS

This nationwide cohort study included reperfusion-treated patients with ischemic stroke ≥18 years registered in the Danish Stroke Registry between 2015 and 2018. Functional outcome was determined by the modified Rankin Scale score 90 days after stroke. SES was defined by educational attainment, family income, and employment status before stroke. SES data were available from Statistics Denmark and linked on the individual level with data from the Danish Stroke Registry. Uni- and multivariable ordinal logistic regression was performed for each socioeconomic parameter individually (education, income, and employment) to estimate the common odds ratios (cORs) for lower 90-day modified Rankin Scale scores.

RESULTS

A total of 5666 patients were included. Mean age was 68.7 years (95% CI, 68.3-69.0), and 38.4% were female. Low SES was associated with lower odds for achieving lower 90-day modified Rankin Scale score: Low versus high education, cOR, 0.69 (95% CI, 0.61-0.79), low versus high income, cOR, 0.59 (95% CI, 0.53-0.67), and unemployed versus employed, cOR, 0.70 (95% CI, 0.58-0.83). Inequalities were reduced after adjusting for age, sex, and immigrant status, except for unemployed versus employed patients, adjusted cOR, 0.66 (95% CI, 0.54-0.80). No statistically significant differences remained after adjusting for potentially mediating variables (eg, stroke severity, prestroke modified Rankin Scale, and smoking).

CONCLUSIONS

Socioeconomic inequalities were observed in functional outcome after reperfusion treated ischemic stroke. In particular, prestroke unemployment was negatively associated with good functional outcome. A more adverse prognostic profile among patients with low SES appeared to explain the majority of these inequalities.

Household income is associated with functional outcomes in a multi-institutional cohort of patients with ischemic stroke and COVID-19

OBJECTIVES

The COVID-19 pandemic has heightened awareness of health disparities associated with socioeconomic status (SES) across the United States. We examined whether household income is associated with functional outcomes after stroke and COVID-19.

MATERIALS AND METHODS

This was a multi-institutional, retrospective cohort study of consecutively hospitalized patients with SARS-CoV-2 and radiographically confirmed stroke presenting from March through November 2020 to any of five comprehensive stroke centers in metropolitan Chicago, Illinois, USA. Zip-code-derived household income was dichotomized at the Chicago median. Logistic regression was used to examine the relationship between household income and good functional outcome (modified Rankin Scale 0-3 at discharge, after ischemic stroke).

RESULTS

Across five hospitals, 159 patients were included. Black patients comprised 48.1%, White patients 38.6%, and Hispanic patients 27.7%. Median household income was $46,938 [IQR: $32,460-63,219]. Ischemic stroke occurred in 115 (72.3%) patients (median NIHSS 7, IQR: 0.5-18.5) and hemorrhagic stroke in 37 (23.7%). When controlling for age, sex, severe COVID-19, and NIHSS, patients with ischemic stroke and household income above the Chicago median were more likely to have a good functional outcome at discharge (OR 7.53, 95% CI 1.61 - 45.73; P=0.016). Race/ethnicity were not included in final adjusted models given collinearity with income.

CONCLUSIONS

In this multi-institutional study of hospitalized patients with stroke, those residing in higher SES zip codes were more likely to have better functional outcomes, despite controlling for stroke severity and COVID-19 severity. This suggests that area-based SES factors may play a role in outcomes from stroke and COVID-19.

The nonalcoholic fatty liver risk in prediction of unfavorable outcome after stroke: A nationwide registry analysis

Few researches have looked at the relationship between nonalcoholic fatty liver disease (NAFLD) at the time of admission and the long-term outcomes of patients suffering from acute ischemic stroke (AIS). We aimed to probe the relationship between NAFLD risk evaluated by NAFLD indices and long-term endpoints, along with the prognostic value of merging NAFLD indices with established risk markers for the prognosis of AIS patients. The fatty liver index (FLI) and the Hepatic steatosis index (HSI) were used to evaluate NAFLD risk in the Third China National Stroke Registry (CNSR-III), a large, prospective, national, multicenter cohort registry study. NAFLD was defined as FLI ≥35 for males and FLI ≥ 20 for females, as well as HSI>36. Death or major disability (modified Rankin Scale score ≥3) were the primary outcomes following the beginning of a stroke. On patient outcomes, the prognostic performance of two objective NAFLD parameters was evaluated. NAFLD was detected in 32.10-51.90% of AIS patients. After 1-year, 14.5% of the participants had died or suffered a severe outcome. After controlling for known risk factors, NAFLD was associated with a modest probability of adverse outcome (odds ratio,0.72[95% CI, 0.61-0.86] for FLI; odds ratio,0.68[95% CI, 0.55-0.85] for HSI). The inclusion of the two NAFLD indicators in the conventional prediction model was justified by the integrated discrimination index, continuing to increase the model's overall predictive value for long-term adverse outcomes. NAFLD risk was linked to a lower risk of long-term death or major disability in people with AIS. The predictive value of objective NAFLD after AIS was demonstrated in our study.

Association of Income with Post-Stroke Cognition and the Underlying Neuroanatomical Mechanism

OBJECTIVE

To investigate the association between income and post-stroke cognition at 3 months, and the underlying neuroanatomical mechanism.

METHODS

Patients with first-ever ischemic stroke were enrolled and analyzed. Baseline information on income and neuroimaging measurements with predictive values for post-stroke cognitive impairment (PSCI) were collected within 7 days of the admission. Three months after the index stroke, all participants underwent a detailed neuropsychological test battery. The associations between income and PSCI and between income and brain structural measurements were investigated.

RESULTS

A total of 294 patients were recruited for this study. Lower income was independently associated with poor cognitive performance on Stroop tests, Clinical Dementia Rating, Boston Naming Test, and Verbal Fluency Test. Regarding neuroimaging parameters, lower income was associated with a lower total brain volume (TBV)/total intracranial volume (TICV) ratio (p = 0.004).

CONCLUSIONS

Lower income is associated with an increased chance of post-stroke cognitive decline, particularly in executive function and language domains. Since global brain atrophy (measured by TBV/TICV ratio) is a strong predictor for PSCI, its correlation with income may help explain the neuroanatomical mechanism between income and post-stroke cognition.

Association of Cardiovascular Disease Risk and Health-Related Behaviors in Stroke Patients

Brain stroke continues to be a leading cause of mortality and disability in both developed and developing countries, with higher healthcare costs due to the long-term care and rehabilitation that it incurs. The purpose of the current study was to assess the association between brain stroke patients' health-related behaviors and their risk for cardiovascular disease.

METHODS

A cross-sectional study was carried out from March to August 2022 in the Vlora district regional hospital in Albania. The study included 150 out of 170 participants who met the necessary criteria, achieving an 88% response rate. Measurement tools included the Framingham Cardiovascular Risk Scale (FRS) and the Lifestyle Health Promotion Profile II (HPLP II).

RESULTS

The patients' average age was 65.9 ± 9.04 years. Over 65% of the stroke patients suffer from diabetes, and 47% from hypertension. About 31% of them have a high risk of hyperlipidemia (mean TC = 179 ± 28.5). About 32% of the brain stroke patients manifested unhealthy behaviors, while 84% of them had a high risk of cardiovascular disease (FRS = 19.5 ± 0.53). Cardiovascular disease (CVD) risk was statistically associated with stress management behaviors (p = 0.008; OR = 0.20; CI = 95%). This risk was highest in the over-70 age group as well as in men.

CONCLUSION

Brain stroke patients had a high probability of developing CVD. For better health among stroke patients, new evidence-based behavior change approaches must be introduced into preventative and management programs.

Role of cognitive reserve in ischemic stroke prognosis: A systematic review

Objective

This systematic review was performed to identify the role of cognitive reserve (CR) proxies in the functional outcome and mortality prognostication of patients after acute ischemic stroke.

Methods

PubMed, Embase, Web of Science, and Cochrane Library were comprehensively searched by two independent reviewers from their inception to 31 August 2022, with no restrictions on language. The reference lists of reviews or included articles were also searched. Cohort studies with a follow-up period of ≥3 months identifying the association between CR indicators and the post-stroke functional outcome and mortality were included. The outcome records for patients with hemorrhage and ischemic stroke not reported separately were excluded. The Quality In Prognosis Studies (QUIPS) tool was used to assess the quality of included studies.

Results

Our search yielded 28 studies (n = 1,14,212) between 2004 and 2022, of which 14 were prospective cohort studies and 14 were retrospective cohort studies. The follow-up period ranged from 3 months to 36 years, and the mean or median age varied from 39.6 to 77.2 years. Of the 28 studies, 15 studies used the functional outcome as their primary outcome interest, and 11 of the 28 studies included the end-point interest of mortality after ischemic stroke. In addition, two of the 28 studies focused on the interest of functional outcomes and mortality. Among the included studies, CR proxies were measured by education, income, occupation, premorbid intelligence quotient, bilingualism, and socioeconomic status, respectively. The quality of the review studies was affected by low to high risk of bias.

Conclusion

Based on the current literature, patients with ischemic stroke with higher CR proxies may have a lower risk of adverse outcomes. Further prospective studies involving a combination of CR proxies and residuals of fMRI measurements are warranted to determine the contribution of CR to the adverse outcome of ischemic stroke.

Systematic review registration

PROSPERO, identifier CRD42022332810, https://www.crd.york.ac.uk/PROSPERO/.

Is the socioeconomic inequality in stroke prognosis changing over time and does quality of care play a role?

Introduction:

In a publicly financed healthcare system we aimed to study the development in socioeconomic disparity in ischemic stroke outcomes over time. In addition, we study whether the healthcare system affects these outcomes through the quality of early stroke care when adjustments are made for various patient characteristics incl. comorbidity and stroke severity.

Patients and methods:

Using nationwide, detailed individual-level register-data we analysed how income-related and education-related inequality in 30-day mortality and 30-day readmission risk developed between 2003 and 2018. In addition, focusing on income-related inequality, we applied mediation analyses to estimate the mediating role of quality of acute stroke care on 30-day mortality and 30-day readmission.

Results:

A total of 97,779 individual ischemic stroke patients were registered in Denmark with a first ever stroke in the study period. Three-point-seven percent died within 30 days of their index-admission and 11.5% were readmitted within 30 days of discharge. The income-related inequality in mortality remained virtually unchanged over time from an RR of 0.53 (95% CI: 0.38; 0.74) in 2003–06 to RR 0.69 (95% CI: 0.53; 0.89)) in 2015–18 when high income was compared to low income (Family income-time interaction: RR 1.00 (95% CI: 0.98–1.03)). A similar but less uniform trend was found for the education-related inequality in mortality (Education-time interaction: RR 1.00 (95% CI: 0.97–1.04)). The income-related disparity in 30-day readmission was smaller than in 30-day mortality and it diminished over time from 0.70 (95% CI: 0.58; 0.83) to 0.97 (95% CI: 0.87; 1.10). The mediation analysis showed no systematic mediating effect of quality of care on neither mortality nor readmission. However, it cannot be ruled out that residual confounding may have washed out some mediating effects.

Discussion and Conclusion:

The socioeconomic inequality in stroke mortality and re-admission risk has yet to be eliminated. Additional studies from different settings are warranted in order to clarify the impact of socioeconomic inequality of quality of acute stroke care.

Pre-stroke socioeconomic status predicts upper limb motor recovery after inpatient neurorehabilitation

BACKGROUND

Lower socioeconomic status (SES) is associated with higher mortality rates and the likelihood of receiving less evidence-based treatment after stroke. In contrast, little is known about the impact of SES on recovery after discharge from inpatient rehabilitation. The aim of this study was to investigate the influence of SES on long-term recovery after stroke.

PATIENTS AND METHODS

In a prospective, observational, multicentre study, inpatients were recruited towards the end of rehabilitation. The 12-month follow-up focussed on upper limb motor recovery, measured by the Fugl-Meyer score. A clinically relevant improvement of ≥5.25 points was considered recovery. Patient-centric measures such as the Patient-reported Outcomes Measurement Information System-Physical Health (PROMIS-10 PH) provided secondary outcomes. Information on schooling, vocational training, income and occupational status pre-stroke entered a multidimensional SES index. Multivariate logistic regression models calculating odds ratios (ORs) and corresponding confidence intervals (CIs) were applied. SES was added to an initial model including age, sex and baseline neurological deficit. Additional exploratory analyses examined the association between SES and outpatient treatment.

RESULTS

One hundred and seventy-six patients were enrolled of whom 98 had SES and long-term recovery data. Model comparisons showed the SES-model superior to the initial model (Akaike information criterion (AIC): 123 vs. 120, Pseudo R²: 0.09 vs. 0.13). The likelihood of motor recovery (OR = 17.12, 95%CI = 1.31; 224.18) and PROMIS-10 PH improvement (OR = 20.76, 95%CI = 1.28; 337.11) were significantly increased with higher SES, along with more frequent use of outpatient therapy (p = .02).

CONCLUSIONS

Higher pre-stroke SES is associated with better long-term recovery after discharge from rehabilitation. Understanding these factors can improve outpatient long-term stroke care and lead to better recovery.KEY MESSAGEHigher pre-stroke socioeconomic status (SES) is associated with better long-term recovery after discharge from rehabilitation both in terms of motor function and self-reported health status.Higher SES is associated with significantly higher utilization of outpatient therapies.Discharge management of rehabilitation clinics should identify and address socioeconomic factors in order to detect individual needs and to improve outpatient recovery. Article registration: clinicaltrials.gov NCT04119479.

Social Determinants of Stroke Hospitalization and Mortality in United States' Counties

(1) Background: Stroke incidence and outcomes are influenced by socioeconomic status. There is a paucity of reported population-level studies regarding these determinants. The goal of this ecological analysis was to determine the county-level associations of social determinants of stroke hospitalization and death rates in the United States. (2) Methods: Publicly available data as of 9 April 2021, for the socioeconomic factors and outcomes, was extracted from the Centers for Disease Control and Prevention. The outcomes of interest were “all stroke hospitalization rates per 1000 Medicare beneficiaries” (SHR) and “all stroke death rates per 100,000 population” (SDR). We used a multivariate binomial generalized linear mixed model after converting the outcomes to binary based on their median values. (3) Results: A total of 3226 counties/county-equivalents of the states and territories in the US were analyzed. Heart disease prevalence (odds ratio, OR = 2.03, p < 0.001), blood pressure medication nonadherence (OR = 2.02, p < 0.001), age-adjusted obesity (OR = 1.24, p = 0.006), presence of hospitals with neurological services (OR = 1.9, p < 0.001), and female head of household (OR = 1.32, p = 0.021) were associated with high SHR while cost of care per capita for Medicare patients with heart disease (OR = 0.5, p < 0.01) and presence of hospitals (OR = 0.69, p < 0.025) were associated with low SHR. Median household income (OR = 0.6, p < 0.001) and park access (OR = 0.84, p = 0.016) were associated with low SDR while no college degree (OR = 1.21, p = 0.049) was associated with high SDR. (4) Conclusions: Several socioeconomic factors (e.g., education, income, female head of household) were found to be associated with stroke outcomes. Additional research is needed to investigate intermediate and potentially modifiable factors that can serve as targeted interventions.

Association of Socioeconomic Status and Infarct Volume With Functional Outcome in Patients With Ischemic Stroke

IMPORTANCE

Long-term disability after stroke is associated with socioeconomic status (SES). However, the reasons for such disparities in outcomes remain unclear.

OBJECTIVE

To assess whether lower SES is associated with larger admission infarct volume and whether initial infarct volume accounts for the association between SES and long-term disability.

DESIGN, SETTING, AND PARTICIPANTS

This cohort study was conducted in a prospective, consecutive population (n = 1256) presenting with acute ischemic stroke who underwent magnetic resonance imaging (MRI) within 24 hours of admission. Patients were recruited in Massachusetts General Hospital, Boston, from May 31, 2009, to December 31, 2011. Data were analyzed from May 1, 2019, until June 30, 2020.

MAIN OUTCOMES AND MEASURES

Initial stroke severity (within 24 hours of presentation) was determined using clinical (National Institutes of Health Stroke Scale [NIHSS]) and imaging (infarct volume by diffusion-weighted MRI) measures. Stroke etiologic subtypes were determined using the Causative Classification of Ischemic Stroke algorithm. Long-term stroke disability was measured using the modified Rankin Scale. Socioeconomic status was estimated using zip code-derived median household income and census block group-derived area deprivation index (ADI). Regression and mediation analyses were performed.

RESULTS

A total of 1098 patients had imaging and SES data available (mean [SD] age, 68.1 [15.7] years; 607 men [55.3%]). Income was inversely associated with initial infarct volume (standardized β, -0.074 [95% CI, -0.127 to -0.020]; P = .007), initial NIHSS (standardized β, -0.113 [95% CI, -0.171 to -0.054]; P < .001), and long-term disability (standardized β, -0.092 [95% CI, -0.149 to -0.035]; P = .001), which remained significant after multivariable adjustments. Initial stroke severity accounted for 64% of the association between SES and long-term disability (standardized β, -0.063 [95% CI, -0.095 to -0.029]; P < .05). Findings were similar when SES was alternatively assessed using ADI.

CONCLUSIONS AND RELEVANCE

The findings of this cohort study suggest that lower SES is associated with larger infarct volumes on presentation. These SES-associated differences in initial stroke severity accounted for most of the subsequent disparities in long-term disability in this study. These findings shift the culpability for SES-associated disparities in poststroke disability from poststroke factors to those that precede presentation.

[The effective post-stroke adaptation behavior model requires a family support system]

PURPOSE

This study aimed to explain the effective post-stroke adaptation behavior based on the Roy's adaptation model (RAM) through the patient experiences when undergoing the adaptation process after stroke.

METHODS

This study was qualitative used a phenomenological approach. The participants were patients undergoing post-stroke recovery at home with the following inclusion criteria: post-discharge from the hospital 2-3 months, and in stable medical condition. The data were collected through in-depth interviews. The data analysis was performed through content analysis. We used Lincoln and Guba's criteria to establish the trustworthiness of the study.

RESULTS

Three thematic categories structured the meaning of the stroke survivor's experience: (1) Problems after stroke; (2) Adaptive coping strategies and (3) Effective adaptation response.

CONCLUSION

A thematic analysis integrated with Roy's adaptation model generated an effective post-stroke adaptation model. We recommend the development of a family empowerment intervention framework to improve the adaptation behavior of stroke survivors.

Cryptogenic Stroke and Embolic Stroke of Undetermined Source: Risk Factors and Approaches for Detection of Atrial Fibrillation

BACKGROUND

Stroke is a problem worldwide because of its high mortality and disability rates. Almost 90% of strokes are ischemic, and more than half of the deaths are caused by an ischemic stroke. Most risk factors for stroke are manageable so that it can be avoided with proper prevention. Despite the success in determining the causes of stroke in recent years, selectively, the "culprit" causing stroke remains unsolved. In such cases, a diagnosis of undetermined etiology (cryptogenic stroke) or embolic stroke of undetermined source (ESUS) is generated, resulting the prevention of a recurrent cerebrovascular occurrence impossible. Atrial fibrillation (AF) can be a cause of stroke by causing blood clots in the chambers of the heart.

PURPOSE

The aim was to determine the optimal method of heart rate monitoring in patients with ischemic stroke, as methods and approaches for detecting AF are very diverse, but there is still no single opinion, which would be universal.

PROCEDURES

In our review, we consider epidemiology, risk factors for the stroke of undetermined etiology, as well as analytical methods for detecting heart rhythm disturbances in this category of patients.

FINDINGS

Atrial fibrillation (AF) is detected by thorough monitoring of heart rate of patients with cryptogenic stroke and ESUS can be diagnosed in up to 46% of patients. .

CONCLUSION

After AF detection, consideration should be given to prescribing anticoagulants, instead of antiplatelet agents, for the secondary prevention of stroke.

Association of Neighborhood-Level Material Deprivation With Health Care Costs and Outcome After Stroke

BACKGROUND AND OBJECTIVES

To determine the association between material deprivation and direct health care costs and clinical outcomes following stroke in the context of a publicly funded universal health care system.

METHODS

In this population-based cohort study of patients with ischemic and hemorrhagic stroke admitted to the hospital between 2008 and 2017 in Ontario, Canada, we used linked administrative data to identify the cohort, predictor variables, and outcomes. The exposure was a 5-level neighborhood material deprivation index. The primary outcome was direct health care costs incurred by the public payer in the first year. Secondary outcomes were death and admission to long-term care.

RESULTS

Among 90,289 patients with stroke, the mean (SD) per-person costs increased with increasing material deprivation, from $50,602 ($55,582) in the least deprived quintile to $56,292 ($59,721) in the most deprived quintile (unadjusted relative cost ratio and 95% confidence interval 1.11 [1.08, 1.13] and adjusted relative cost ratio 1.07 [1.05, 1.10] for least compared to most deprived quintile). People in the most deprived quintile had higher mortality within 1 year compared to the least deprived quintile (adjusted hazard ratio [HR] 1.07 [1.03, 1.12]) as well as within 3 years (adjusted HR 1.09 [1.05, 1.13]). Admission to long-term care increased incrementally with material deprivation and those in the most deprived quintile had an adjusted HR of 1.33 (1.24, 1.43) compared to those in the least deprived quintile.

DISCUSSION

Material deprivation is a risk factor for increased costs and poor outcomes after stroke. Interventions targeting health inequities due to social determinants of health are needed.

CLASSIFICATION OF EVIDENCE

This study provides Class II evidence that the neighborhood-level material deprivation predicts direct health care costs.

Socioeconomic Influence on Emergency Medical Services Utilization for Acute Stroke: Think Nationally, Act Locally

Background and Purpose

Rates of emergency medical services (EMS) utilization for acute stroke remain low nationwide, despite the time-sensitive nature of the disease. Prior research suggests several demographic and social factors are associated with EMS use. We sought to evaluate which demographic or socioeconomic factors are associated with EMS utilization in our region, thereby informing future education efforts.

Methods

We performed a retrospective analysis of patients for whom the stroke code system was activated at 2 hospitals in our region. Univariate and logistic regression analysis was performed to identify factors associated with use of EMS versus private vehicle.

Results

EMS use was lower in patients who were younger, had higher income, were married, more educated and in those who identified as Hispanic. Those arriving by EMS had significantly faster arrival to code, arrival to imaging, and arrival to thrombolytic treatment times.

Conclusion

Analysis of regional data can identify specific populations underutilizing EMS services for acute stroke symptoms. Factors effecting EMS utilization varies by region and this information may be useful for targeted education programs promoting EMS use for acute stroke symptoms. EMS use results in more rapid evaluation and treatment of stroke patients.

Association between annual household income and adverse outcomes in patients who had ischaemic stroke

BACKGROUND AND PURPOSE

The association between annual household income and prognosis of ischaemic stroke remains debatable. We aimed to prospectively investigate the relationship between annual household income and prognosis at 3 months after ischaemic stroke.

METHODS

We included 3975 participants from the China Antihypertensive Trial in Acute Ischemic Stroke. All participants were categorised into three groups according to annual household income per capita: <¥10 000 (Chinese Yuan Renminbi (RMB)), ¥10 000-19 999 and ≥¥20 000. The primary outcome was a composite outcome of death and major disability (modified Rankin Scale score ≥3) at 3 months after stroke onset, and secondary outcomes included major disability, death, and vascular events. A meta-analysis was conducted to incorporate the results of the current study and previous studies on the association of income level with outcomes after stroke.

RESULTS

Within 3 months after ischaemic stroke, 1002 participants (25.20%) experienced primary outcome (880 major disabilities and 122 deaths). After multivariate adjustment, low annual household income level was associated with increased risk of the primary outcome (OR 1.60; 95% CI: 1.12 to 2.31; P_trend=0.034) when two extreme groups were compared. The meta-analysis confirmed the significant association between income level and death or major disability after stroke (pooled relative risk for lowest vs highest income level, 1.31 (95% CI: 1.18 to 1.45)).

CONCLUSIONS

Low annual household income per capita was significantly associated with increased risks of adverse clinical outcomes at 3 months after ischaemic stroke, independently of established risk factors. Further studies from other samples are needed to replicate our findings due to a reason for excluding some patients who had a severe stroke in this study.

TRIAL REGISTRATION NUMBER

ClinicalTrials.gov (http://wwwclinicaltrialsgov) Registry (NCT01840072).

Explanatory models of stroke in Ghana: perspectives of stroke survivors and their caregivers

Objective: This study examines explanatory models (EMs) of stroke and its complications among people living with stroke, and their caregivers, in two urban poor communities in Accra (Ga Mashie) and Korle Bu Teaching Hospital (KBTH), Accra.Methods: Twenty-two stroke survivors and 29 caregivers were recruited from 2 urban poor communities in Accra and KBTH. Qualitative data were obtained using semi-structured interviews that lasted between 45 minutes and 2 hours. The interviews were audiotaped, transcribed and analysed thematically, informed by the concept of EMs of illness.Results: Participants referred to stroke as a sudden event and they expressed different emotional responses after the stroke onset. Stroke survivors and their caregivers attributed stroke with poor lifestyle practices, high blood pressure, unhealthy diet and dietary practices, supernatural causes, stress, family history, other chronic diseases, and delay in treatment of symptoms. While the stroke survivors associated stroke complications with physical disability and stigmatisation, the caregivers associated these with physical disability, behavioural and psychological changes, cognitive disability and death. These associations were mostly influenced by the biomedical model of stroke.Conclusion: The biomedical model of stroke is important for developing interventions that will be accepted by the stroke survivors and the caregivers. Nevertheless, sociocultural explanations of stroke need to be taken into consideration during delivery of medical information to the participants. This study proposes an integrated biopsychosociocultural approach for stroke intervention among the study participants.

The effective post-stroke adaptation behavior model requires a family support system

PURPOSE

This study aimed to explain the effective post-stroke adaptation behavior based on the Roy's adaptation model (RAM) through the patient experiences when undergoing the adaptation process after stroke.

METHODS

This study was qualitative used a phenomenological approach. The participants were patients undergoing post-stroke recovery at home with the following inclusion criteria: post-discharge from the hospital 2-3 months, and in stable medical condition. The data were collected through in-depth interviews. The data analysis was performed through content analysis. We used Lincoln and Guba's criteria to establish the trustworthiness of the study.

RESULTS

Three thematic categories structured the meaning of the stroke survivor's experience: (1) Problems after stroke; (2) Adaptive coping strategies and (3) Effective adaptation response.

CONCLUSION

A thematic analysis integrated with Roy's adaptation model generated an effective post-stroke adaptation model. We recommend the development of a family empowerment intervention framework to improve the adaptation behavior of stroke survivors.

Investigating predictors of community integration in individuals after stroke in a residential setting: A longitutinal study

Aim

To identify potential predictors of community integration in individuals after stroke using a residential setting-based strategy.

Method

A prospective cohort of post-stroke individuals was recruited from the Stroke Unit of the Roberto Santos General Hospital (UAVC-HGRS). All included individuals were aged over 18 years, received a diagnosis of ischemic stroke confirmed by neuroimaging and resided in the city of Salvador (Bahia, Brazil). Following discharge from the stroke unit, the individuals themselves, or their responsible parties, were contacted by telephone to schedule a home visit no less than three months after discharge. All subjects were examined in their homes, at which time the Community Integration Questionnaire (CIQ) was also applied. A robust linear regression model was used to assess community reintegration using CIQ score as the outcome variable.

Results

A total of 124 individuals effectively fulfilled the eligibility criteria: 51.6% were females, the median (IQR) age was 63(53–69) years, 82.3% were non-white, 53.2% were married, the median (IQR) of years of schooling was 6 (4–12) and family income averaged two minimum monthly wages. Investigated individuals presented a median (IQR) NIH Stroke Scale (NIHSS) score of 7 (4–12). Multivariate linear regression identified the following independent predictors of community integration: age (β = -0.095; 95% CI = -0.165 to -0.025; p = 0.008), diabetes mellitus (β = -2.348; 95% CI = -4.125 to -0.571; p = 0.010), smoking habit (β = -2.951; 95% CI = -5.081 to -0.821; p = 0.007), functional capacity upon hospital discharge (β = 0.168; 95% CI = 0.093 to 0.242; p = <0.001) and stroke severity (β = -0.163; CI = -0.318 to -0.009); p = 0.038).

Conclusions

Regardless of length of time since stroke, individuals present restrictions that compromise their reintegration into their respective communities. The demographic, clinical and functional factors identified herein as potential predictors should be considered when conducting regular follow-up, as well as in the rehabilitation of individuals after stroke with the purpose to identify the interventions necessary to optimize their reintegration into the community.

Improving the Social Relevance of Experimental Stroke Models: Social Isolation, Social Defeat Stress and Stroke Outcome in Animals and Humans

The outcome of ischemic stroke varies across socioeconomic strata, even among countries with universal health care. Emerging evidence suggests that psychosocial aspects of low socioeconomic status such as social isolation and social defeat stress interact with, and contribute to, stroke pathophysiology. However, experimental investigations of stroke rarely account for such socioeconomic influences. Social isolation in stroke survivors is associated with increased infarction volume, increased risk of post-stroke depression, and worse long-term functional outcome. Social defeat is thought to contribute significantly to chronic stress in low socioeconomic status groups and is associated with poor health outcomes. Chronic stress is also associated with worse post-stroke functional outcome and greater disability even after accounting for stroke severity, vascular risk factors, and access to acute stroke care. Experimental stroke studies which incorporate social isolation or social defeat stress have shown that both tissue and functional stroke outcome is affected by the increased expression of TNF-α and IL-6, increased glucocorticoid production, and suppression of the protooncogene bcl-2. This review explores the consequences of social isolation and social defeat stress on stroke, preclinical stroke models that have been used to investigate these factors, and possible molecular mechanisms underlying the influence of socioeconomic disparities on stroke outcome.

Cognitive Reserve as an Emerging Concept in Stroke Recovery

Stroke is a leading cause of death and disability. It is a complex and largely heterogeneous condition. Prognosis for variations in impairment and recovery following stroke continues to be challenging and inaccurate, highlighting the need to examine the influence of other currently unknown variables to better predict and understand interindividual differences in stroke impairment and recovery. The concept of "cognitive reserve," a feature of brain function said to moderate the relationship between brain pathology and clinical outcomes, might provide a partial explanation. This review discusses the potential significance of cognitive reserve in the context of stroke, with reference to reduced burden of disability poststroke, health promotion, intervention and secondary prevention of cognitive impairment, ease and challenges of translation into clinical practice, prognosis and prediction of recovery, and clinical decisions and trial stratification. Discussions from the review aim to encourage stroke clinicians and researchers to better consider the role of premorbid, lifestyle-related variables, such as cognitive reserve, in facilitating successful neurological outcomes and recovery following stroke.

Socioeconomic Status And Acute Stroke Care: Has The Inequality Gap Been Closed?

Purpose

Socioeconomic inequality in stroke care occurs even in countries with free access to health care. We aimed to investigate the association between socioeconomic status and guideline-recommended acute care in Denmark during the last decade.

Design

We conducted a nationwide, population-based study. We used household income, employment status, and education as markers of socioeconomic status and adjusted the results for relevant clinical covariates. We used weighted linear regression models to analyse empirical log odds of performance measure fulfillment at patient level.

Setting

Public hospitals in Denmark.

Participants

A total of 110,848 consecutive stroke patients discharged between 2004 and 2014.

Intervention(s)

Acute stroke care according to clinical guidelines.

Main outcome measure(s)

Guideline-recommended care was defined in two ways based on clinical performance measures: the percentage of fulfilled measures used throughout the study period (m=8) (model 1) and the percentage of fulfilled measures used at the time of discharge (m=8 to 16) (model 2).

Results

Compared with high family income, low income was negatively associated with the guideline-recommended care; odds ratios (95% CI) were 0.89 (0.85–0.93) in model 1 and 0.81 (0.77–0.85) in model 2. Low family income was negatively associated with fulfillment of 14 of the 16 performance measures. In general, the percentage of performance measures fulfilled increased over time from 70% (95% CI 63–76) to 85% (95% CI 83–87).

Conclusion

Socioeconomic inequality in guideline-recommended stroke care remains despite overall improvements in a setting with free access to care and systematic monitoring of health care quality.

Association between socioeconomic status and prognosis after ischemic stroke in South China

Background: Previous studies have conflicting results on the association between socioeconomic status and stroke outcomes. Thus, this study aimed to investigate whether socioeconomic status is associated with the prognosis of ischemic stroke in Guangzhou, South China. Methods: A total of 622 patients with ischemic stroke who were admitted in the neurology department of five general hospitals in Guangzhou from May 2014 to October 2014 were included in the study. Socioeconomic status was measured based on education, income, caregiver, and insurance. The modified Rankin scale was used to evaluate the two years prognosis of patients with stroke. A multivariate logistic regression model was performed to determine the association between socioeconomic status and ischemic stroke prognosis. Results: In 2 years follow-up, 542 ischemic stroke patients were interviewed by telephone. Age ranged from 31 to 96 years, 65.5% of the patients were male. 33.9% of patients with ischemic stroke had a poor prognosis. After adjustment for age, sex, cardiovascular disease, behavior lifestyle, and severity of stroke, odds ratio for poor prognosis in patients with low income was 1.84 (95%CI 1.05-3.22), family caregiver 3.19 (95%CI 1.05-9.70), and no insurance 1.68 (95%CI 1.02-2.77). Conclusions: Patients with low income, family caregiver, and no insurance have a poorer prognosis after ischemic stroke that can be partly explained by intermediate variable in the patients' demographic characteristics, cardiovascular disease, behavior lifestyle, and stroke severity. Abbreviations: DALYs: disability-adjusted life years; SES: socioeconomic status; FMC: free medical care; MIUR: medical insurance for urban residents; MIUE: medical insurance for urban employees; NCMS: new rural cooperative medical scheme ; NIHSS: National Institute of Health Stroke Scale ; mRS: modified Rankin scale; OR: odds ratios; CI: confidence interval.

Factors associated with post-acute discharge location after hospital stay: a cross-sectional study from a Swiss hospital

BACKGROUND

In 2012, Switzerland introduced the diagnosis-related group hospital payment system. Fearing that vulnerable patients may be discharged early, Acute and Transitional Care (ATC) was introduced to address the nursing care of patients who no longer needed an acute hospital stay. ATC is more costly for patients when compared to other discharge options like rehabilitation while providing less rehabilitative services. This study investigates factors associated with the place of discharge for patients in need of care.

METHODS

Data was collected from 660 medical records of inpatients 50 years and older of the municipal hospital Triemli in Zurich, Switzerland. We used stepwise logistic regression to identify factors associated with their discharge into ATC or rehabilitation.

RESULTS

Older patients with higher Delirium Observation Scale (DOS), lack of supplementary health insurance, resuscitation order and a lower social network were more likely to be discharged into ATC than rehabilitation.

CONCLUSIONS

The association of supplementary health insurance and social network with discharge into ATC or rehabilitation is problematic because patients that are already vulnerable from a financial and social perspective are potentially discharged into a more costly and less rehabilitative post-acute care facility.

Increase in the functional capacity and quality of life among stroke patients by family caregiver empowerment program based on adaptation model

Purpose

The family caregiver's role is an important influence factor of patient's adaptation behaviour and quality of life after stroke. The purpose of this research was to identify the effect of caregiver empowerment program based on the adaptation model (CEP-BAM) on functional capacity and quality of life of patients after stroke.

Methods

This research was a quasi-experimental research with a pre- and post-test control group design. The total participants who completed the research were 80 patients and their families, 40 participants in the intervention group and 40 participants in the control group. We conducted home visits to perform the intervention. The measurement of functional capacity and quality of life performed four times (pre-test and three times post-test). Data analysis was performed using the repeated measurement ANOVA or general linear model repeated measure (GLM-RM).

Results

This research proves a significant difference in functional capacity and quality of life between the two groups and between pre-test and sixth months after intervention (P < 0.05). The quality of life of the intervention group in the sixth month after intervention was better than that of the control group (33.40 ± 3.65 vs 30.60 ± 2.78) with a significant difference (P < 0.05).

Conclusion

It is concluded that CEP-BAM effectively increased patients' functional capacity and quality of life after a stroke in the sixth month after intervention.

Socioeconomic determinants of outcome after childhood arterial ischemic stroke

OBJECTIVE

To determine whether lower socioeconomic status (SES) is associated with worse 1-year neurologic outcomes and reduced access to rehabilitation services in children with arterial ischemic stroke (AIS).

METHODS

From 2010 to 2014, the Vascular effects of Infection in Pediatric Stroke (VIPS) observational study prospectively enrolled and confirmed 355 children (age 29 days-18 years) with AIS at 37 international centers. SES markers measured via parental interview included annual household income (US dollars) at the time of enrollment, maternal education level, and rural/suburban/urban residence. Receipt of rehabilitation services was measured by parental report. Pediatric Stroke Outcome Measure scores were categorized as 0 to 1, 1.5 to 3, 3.5 to 6, and 6.5 to 10. Univariate and multivariable ordinal logistic regression models examined potential predictors of outcome.

RESULTS

At 12 ± 3 months after stroke, 320 children had documented outcome measurements, including 15 who had died. In univariate analysis, very low income (<US $10,000), but not other markers of SES, was associated with worse outcomes (odds ratio [OR] 3.13, 95% confidence interval [CI] 1.43-6.88, p = 0.004). In multivariable analysis, including adjustment for stroke etiology, this association persisted (OR 3.17, 95% CI 1.18-8.47, p = 0.02). Income did not correlate with receiving rehabilitation services at 1 year after stroke; however, quality and quantity of services were not assessed.

CONCLUSIONS

In a large, multinational, prospective cohort of children with AIS, low income was associated with worse neurologic outcomes compared to higher income levels. This difference was not explained by stroke type, neurologic comorbidities, or reported use of rehabilitation services. The root causes of this disparity are not clear and warrant further investigation.

Association between socioeconomic status and post-stroke functional outcome in deprived rural southern China: a population-based study

BACKGROUND

Data on the association between socioeconomic status and post-stroke functional outcome in developing countries is lacking. We aimed to evaluate the association in stroke survivors in deprived rural Southern China.

METHODS

We conducted door-to-door interviews and collected data using a structured questionnaire in stroke survivors from five fourth-class rural areas of Guangdong Province through a non-government initiated registry from August 2014 to March 2015. Descriptive statistics were used to provide information on the demographic, socioeconomic and clinical characteristics of the selected population. Univariate and multivariate logistic regression were used to examine the relationship of socioeconomic status indexed by self-reported average family income and functional impairment defined as a modified Rankin Scale of 3 to 5.

RESULTS

Among the 425 stroke survivors, 52.7% lived below the poverty line set by the local government. About 50% of patients suffered from functional impairment and required assistance in their daily life. Compared with their wealthier counterpart, stroke survivors with lower income were more likely to have functional impairment (OR 2.85, 95% CI 1.93-4.23). The effect size increased and remained significant after adjusting for possible confounding factors (OR 3.17, 95% CI 2.04-4.91).

CONCLUSIONS

Poorer patients tend to have poorer post-stroke functional outcome. Primary and secondary strategies targeting underprivileged populations in less-developed areas are thus urgently needed in China.

Stroke: the critically neglected first year post-stroke

Purpose

Stroke is a leading cause of death and disability in the USA and worldwide. While stroke care has evolved dramatically, many new acute approaches to therapy focus only on the first 3-12 hours. Significant treatment opportunities beyond the first 12 hours can play a major role in improving outcomes for stroke patients. The purpose of this paper is to highlight the issues that affect stroke care delivery for patients and caregivers and describe an integrated care model that can improve care across the continuum.

Design/methodology/approach

This paper details evidence-based research that documents current stroke care and efforts to improve care delivery. Further, an innovative integrated care model is described, and its novel application to stroke care is highlighted.

Findings

Stroke patients and caregivers face fragmented and poorly coordinated care systems as they move through specific stroke nodes of care, from acute emergency and in-hospital stay through recovery post-discharge at a care facility or at home, and can be addressed by applying a comprehensive, technology-enabled Integrated Stroke Practice Unit (ISPU) Model of Care.

Originality/value

This paper documents specific issues that impact stroke care and the utilization of integrated care delivery models to address them. Evidence-based research results document difficulties of current care delivery methods for stroke and the impact of that care delivery on patients and caregivers across each node of care. It offers an innovative ISPU model and highlights specific tenets of that model for readers.

Hospital Discharge Disposition of Stroke Patients in Tennessee

OBJECTIVES

Early determination of hospital discharge disposition status at an acute admission is extremely important for stroke management and the eventual outcomes of patients with stroke. We investigated the hospital discharge disposition of patients with stroke residing in Tennessee and developed a predictive tool for clinical adoption. Our investigational aims were to evaluate the association of selected patient characteristics with hospital discharge disposition status and predict such status at the time of an acute stroke admission.

METHODS

We analyzed 127,581 records of patients with stroke hospitalized between 2010 and 2014. Logistic regression was used to generate odds ratios with 95% confidence intervals to examine the factor outcome association. An easy-to-use clinical predictive tool was built by using integer-based risk scores derived from coefficients of multivariable logistic regression.

RESULTS

Among the 127,581 records of patients with stroke, 86,114 (67.5%) indicated home discharge and 41,467 (32.5%) corresponded to facility discharge. All considered patient characteristics had significant correlations with hospital discharge disposition status. Patients were at greater odds of being discharged to another facility if they were women; older; black; patients with a subarachnoid or intracerebral hemorrhage; those with the comorbidities of diabetes mellitus, heart disease, hypertension, chronic kidney disease, arrhythmia, or depression; those transferred from another hospital; or patients with Medicare as the primary payer. A predictive tool had a discriminatory capability with area under the curve estimates of 0.737 and 0.724 for derivation and validation cohorts, respectively.

CONCLUSIONS

Our investigation revealed that the hospital discharge disposition pattern of patients with stroke in Tennessee was associated with the key patient characteristics of selected demographics, clinical indicators, and insurance status. These analyses resulted in the development of an easy-to-use predictive tool for early determination of hospital discharge disposition status.

Hospital Variation in Functional Recovery After Stroke

Background—

Functional status is a key patient-centric outcome, but there are little data on whether functional recovery post-stroke varies among hospitals. This study examined the distribution of functional status 3 months after stroke, determined whether these outcomes vary among hospitals, and identified hospital characteristics associated with better (or worse) functional outcomes.

Methods and Results—

Observational analysis of the AVAIL study (Adherence Evaluation After Ischemic Stroke-Longitudinal) included 2083 ischemic stroke patients enrolled from 82 US hospitals participating in Get With The Guidelines-Stroke and AVAIL. The primary outcome was dependence or death at 3 months (modified Rankin Scale [mRS] score of 3–6). Secondary outcomes included functional dependence (mRS score of 3–5), disabled (mRS score of 2–5), and mRS evaluated as a continuous score. By 3 months post-discharge, 36.5% of patients were functionally dependent or dead. Rates of dependence or death varied widely by discharging hospitals (range: 0%–67%). After risk adjustment, patients had lower rates of 3-month dependence or death when treated at teaching hospitals (odds ratio, 0.72; 95% confidence interval, 0.54–0.96) and certified primary stroke centers (odds ratio, 0.69; 95% confidence interval, 0.53–0.91). In contrast, a composite measure of hospital-level adherence to acute stroke care performance metrics, stroke volume, and bed size was not associated with downstream patient functional status. Findings were robust across mRS end points and sensitivity analyses.

Conclusions—

One third of acute ischemic stroke patients were functionally dependent or dead 3 months postacute stroke; functional recovery rates varied considerably among hospitals, supporting the need to better determine which care processes can maximize functional outcomes.

Functional disability and associated factors in elderly stroke survivors in Vitória, Brazil

Abstract Objective: The aim of the present study was to estimate the prevalence of disability and associated factors in elderly stroke survivors. Methods: A cross-sectional study of 230 elderly persons was conducted in the 22 territories of the Estratégia de Saúde da Família (the Family Health Strategy) of Vitória, in the state of Espirito Santo. Patients were assessed using the modified Rankin Scale. Poisson regression with robust variance in crude and adjusted analyses was employed. Results: The majority of subjects were men (52.1%) aged between 60 to 98 years, with a mean age of 75.8 (sd±9.2). The prevalence of disability was 66%. Age ≥80 years, self-perceived limitations in bodily function, considering the physical structure of the street to be a barrier to leaving home and believing street lighting to be insufficient were positively associated with functional disability. Possessing 12 or more years of schooling was inversely associated with the outcome. Conclusions: The high prevalence of disability and associated factors in elderly stroke survivors reinforce the need for a health system that operates continuously and proactively, promoting active aging.

Moving Toward an Understanding of Disability in Older U.S. Stroke Survivors

OBJECTIVES

We test a comprehensive model of disability in older stroke survivors and determine the relative contribution of neighborhood, economic, psychological, and medical factors to disability.

METHOD

The sample consisted of 728 stroke survivors from the National Health and Aging Trends Study (NHATS), who were 65 years and older living in community settings or residential care. Confirmatory factor analysis and structural equation modeling were used to test relationships between neighborhood, socioeconomic, psychological, and medical factors, and disability.

RESULTS

Economic and medical context were associated with disability directly and indirectly through physical impairment. Neighborhood context was associated with disability, but was only marginally statistically significant ( p = .05). The effect of economic and neighborhood factors was small compared with that of medical factors.

DISCUSSION

Neighborhood and economic factors account for a portion of the variance in disability among older stroke survivors beyond that of medical factors.

Post-stroke disability and its predictors among Nigerian stroke survivors

BACKGROUND

Despite stroke is a major cause of disability, the predictors of the disability among stroke survivors has not been sufficiently delineated.

OBJECTIVE

To assess post-stroke disability and determine its predictors among Nigerian stroke survivors.

METHODS

This study involved 121 consecutive stroke survivors with at least 3 months of stroke from two tertiary health institutions in South-Western Nigeria. The World Health Organization Disability Assessment Schedule was used to assess their disability. Socio-demographic and clinical variables were obtained through interview and from their hospital records respectively. Poisson regression was used to examine the predictors.

RESULTS

Moderate disability level (44.1 ± 20.5) was observed among the participants. Prevalence of post-stroke disability was high in nine items with scores ranged between 62.0% and 90.1%. There was moderate prevalence of post-stroke disability in 3 items (44.6%-52.1%). When adjusted for sex, prevalence of post-stroke disability followed the same pattern. Being a male and having the affectation of dominant right limbs had 1.08 and 1.46 more likelihood of having disability while being gainfully employed after stroke had 0.81 less likelihood of having disability. Every additional unit of diastolic blood pressure and stroke duration were associated with estimated 0.4% and 0.2% less disability while every one year increased in age was associated with 0.5% increase in disability.

CONCLUSION

Disability in stroke survivors is determined by having right dominant limb affected, increase in blood pressure, longer stroke duration, increase in age and being a male. However, disability in stroke survivors decreases with the stroke survivors engaging in productive lifestyle.

The effects of socioeconomic status on stroke risk and outcomes

The latest evidence on socioeconomic status and stroke shows that stroke not only disproportionately affects low-income and middle-income countries, but also socioeconomically deprived populations within high-income countries. These disparities are reflected not only in risk of stroke but also in short-term and long-term outcomes after stroke. Increased average levels of conventional risk factors (eg, hypertension, hyperlipidaemia, excessive alcohol intake, smoking, obesity, and sedentary lifestyle) in populations with low socioeconomic status account for about half of these effects. In many countries, evidence shows that people with lower socioeconomic status are less likely to receive good-quality acute hospital and rehabilitation care than people with higher socioeconomic status. For clinical practice, better implementation of well established treatments, effective management of risk factors, and equity of access to high-quality acute stroke care and rehabilitation will probably reduce inequality substantially. Overcoming barriers and adapting evidence-based interventions to different countries and health-care settings remains a research priority.

Evaluation of a smartphone human activity recognition application with able-bodied and stroke participants

Background

Mobile health monitoring using wearable sensors is a growing area of interest. As the world’s population ages and locomotor capabilities decrease, the ability to report on a person’s mobility activities outside a hospital setting becomes a valuable tool for clinical decision-making and evaluating healthcare interventions. Smartphones are omnipresent in society and offer convenient and suitable sensors for mobility monitoring applications. To enhance our understanding of human activity recognition (HAR) system performance for able-bodied and populations with gait deviations, this research evaluated a custom smartphone-based HAR classifier on fifteen able-bodied participants and fifteen participants who suffered a stroke.

Methods

Participants performed a consecutive series of mobility tasks and daily living activities while wearing a BlackBerry Z10 smartphone on their waist to collect accelerometer and gyroscope data. Five features were derived from the sensor data and used to classify participant activities (decision tree). Sensitivity, specificity and F-scores were calculated to evaluate HAR classifier performance.

Results

The classifier performed well for both populations when differentiating mobile from immobile states (F-score > 94 %). As activity recognition complexity increased, HAR system sensitivity and specificity decreased for the stroke population, particularly when using information derived from participant posture to make classification decisions.

Conclusions

Human activity recognition using a smartphone based system can be accomplished for both able-bodied and stroke populations; however, an increase in activity classification complexity leads to a decrease in HAR performance with a stroke population. The study results can be used to guide smartphone HAR system development for populations with differing movement characteristics.

The HAAPI (Home Arm Assistance Progression Initiative) Trial: A Novel Robotics Delivery Approach in Stroke Rehabilitation

BACKGROUND

Geographical location, socioeconomic status, and logistics surrounding transportation impede access of poststroke individuals to comprehensive rehabilitative services. Robotic therapy may enhance telerehabilitation by delivering consistent and state-of-the art therapy while allowing remote monitoring and adjusting therapy for underserved populations. The Hand Mentor Pro (HMP) was incorporated within a home exercise program (HEP) to improve upper-extremity (UE) functional capabilities poststroke.

OBJECTIVE

To determine the efficacy of a home-based telemonitored robotic-assisted therapy as part of a HEP compared with a dose-matched HEP-only intervention among individuals less than 6 months poststroke and characterized as underserved.

METHODS

In this prospective, single-blinded, multisite, randomized controlled trial, 99 hemiparetic participants with limited access to UE rehabilitation were randomized to either (1) the experimental group, which received combined HEP and HMP for 3 h/d ×5 days ×8 weeks, or (2) the control group, which received HEP only at an identical dosage. Weekly communication between the supervising therapist and participant promoted compliance and progression of the HEP and HMP prescription. The Action Research Arm Test and Wolf Motor Function Test along with the Fugl-Meyer Assessment (UE) were primary and secondary outcome measures, respectively, undertaken before and after the interventions.

RESULTS

Both groups demonstrated improvement across all UE outcomes.

CONCLUSIONS

Robotic + HEP and HEP only were both effectively delivered remotely. There was no difference between groups in change in motor function over time. Additional research is necessary to determine the appropriate dosage of HMP and HEP.

Sex, diastolic blood pressure, and outcome after thrombolysis for ischemic stroke

Background. The goal of this study was to identify differences in risk factors and functional outcome between the two sexes in patients treated with thrombolysis for ischemic stroke. Methods. This cohort study audited data from patients treated with thrombolysis for ischemic stroke during a 3-year period at Södersjukhuset, Stockholm. Results. Of the 355 patients included in the study, 162 (45%) were women and 193 (54%) were men. Women were older with a median age of 76 years; median age for men was 69 years (P < 0.0001). Diastolic blood pressure was lower for women compared to men (P = 0.001). At admission fewer women had a favorable modified Rankin Scale score compared to men (93.8% versus 99%, P = 0.008). Three months after discharge functional status did not differ significantly between the two sexes. Diastolic blood pressure was associated to functional outcome only in men when sex specific odds ratios were calculated (OR, 5.7; 95% CI, 1.7–20). Conclusion. The study indicates that females appear to gain a relatively greater benefit from thrombolytic therapy than men due to a better functional recovery. A higher diastolic blood pressure increases the risk for a worse prospective functional status in men.

Post stroke health-related quality of life, stroke severity and function: A longitudinal cohort study

Background

Health related quality of life (HRQoL) is a determinant of physical, social and emotional well-being post-stroke.

Objectives

This study aimed to correlate self-reported HRQoL with activities of daily living (ADL) and stroke severity.

Method

A longitudinal observational study was conducted at a rehabilitation centre in the Western Cape, South Africa. Stroke inpatients were sampled over 6 months. The Euro-QoL Five Dimensions instrument (EQ5D-3L) for self-reported HRQoL, Barthel Index (BI) for function and independence in ADL, and modified Rankin Scale (mRS) for stroke severity were administered on admission and discharge. Statistical analysis was performed using Statistical Package for the Social Sciences (SPSS) version 25.

Results

Of the 54 potential participants, 49 met inclusion criteria and 41 completed reassessments (median age 48 years [interquartile range {IQR} 39–60]; median length of stay 53 days [IQR 46–60]). Most participants had infarctions (89.90%); with hypertension or diabetes risk factors (73.47% and 28.57%, respectively). The BI and mRS scores improved significantly (p < 0.001) with very strong correlation between scores (rs = -0.874, p < 0.001); indicating a trend of decreased stroke severity as function improved. The EQ5D Visual Analog Scale (VAS) scores (p < 0.001) and domains mobility, self-care, usual activities (p < 0.001) and pain/discomfort (p = 0.034) improved significantly. The anxiety/depression domain showed a non-significant change (p = 0.378). A weak negative significant correlation existed between EQ5D VAS and mRS scores (rs = -0.362; p = 0.02); indicating a trend that HRQoL was not improving to the degree stroke severity decreased. A weak positive significant correlation was seen between EQ5D VAS and BI scores (rs = 0.329; p = 0.036).

Conclusion

Although an improvement was noted in HRQoL, EQ5D VAS scores tended not to improve as strongly, despite significant improvements in function and stroke severity. These findings demonstrate the need for psychological support and pain management interventions for adjustment post-stroke.