Patients living in impoverished areas have more severe ischemic strokes

Impact of Poverty on Stroke Recurrence: A Population-Based Study

BACKGROUND AND OBJECTIVES

Poverty is associated with greater stroke incidence. The relationship between poverty and stroke recurrence is less clear.

METHODS

In this population-based study, incident strokes within the Greater Cincinnati/Northern Kentucky region were ascertained during the 2015 study period and followed up for recurrence until December 31, 2018. The primary exposure was neighborhood socioeconomic status (nSES), defined by the percentage of households below the federal poverty line in each census tract in 4 categories (≤5%, >5%-10%, >10%-25%, >25%). Poisson regression models provided recurrence rate estimates per 100,000 residents using population data from the 2015 5-year American Community Survey, adjusting for age, sex, and race. In a secondary analysis, Cox models allowed for the inclusion of vascular risk factors in the assessment of recurrence risk by nSES among those with incident stroke.

RESULTS

Of 2,125 patients with incident stroke, 245 had a recurrent stroke during the study period. Poorer nSES was associated with increased stroke recurrence, with rates of 12.5, 17.5, 25.4, and 29.9 per 100,000 in census tracts with ≤5%, >5%-10%, >10%-25%, and >25% below the poverty line, respectively (p < 0.01). The relative risk (95% CI) for recurrent stroke among Black vs White individuals was 2.54 (1.91-3.37) before adjusting for nSES, and 2.00 (1.47-2.74) after adjusting for nSES, a 35.1% decrease. In the secondary analysis, poorer nSES (HR 1.74, 95% CI 1.10-2.76 for lowest vs highest category) and Black race (HR 1.31, 95% CI 1.01-1.70) were both independently associated with recurrence risk, though neither retained significance after full adjustment. Age, diabetes, and left ventricular hypertrophy were associated with increased recurrence risk in fully adjusted models.

DISCUSSION

Residents of poorer neighborhoods had a dose-dependent increase in stroke recurrence risk, and neighborhood poverty accounted for approximately one-third of the excess risk among Black individuals. These results highlight the importance of poverty, race, and the intersection of the 2 as potent drivers of stroke recurrence.

Structural Inequities for Historically Underserved Communities in the Adoption of Stroke Certification in the United States

Importance

Stroke centers are associated with better outcomes. There is substantial literature surrounding disparities in stroke outcomes for underserved populations. However, the existing literature has focused primarily on discrimination at the individual or institutional level, and studies of structural discrimination in stroke care are scant.

Objective

To examine differences in hospitals' likelihood of adopting stroke care certification between historically underserved and general communities.

Design, Setting, and Participants

This study combined a data set of hospital stroke certification from all general acute nonfederal hospitals in the continental US from January 1, 2009, to December 31, 2019, with national, hospital, and census data to define historically underserved communities by racial and ethnic composition, income distribution, and rurality. For all categories except rurality, communities were categorized by the composition and degree of segregation of each characteristic. Cox proportional hazard models were then estimated to compare the hazard of adopting stroke care certification between historically underserved and general communities, adjusting for population size and hospital bed capacity. Data were analyzed from June 2021 to April 2022.

Main Outcomes and Measures

Hospitals' likelihood of adopting stroke care certification.

Results

A total of 4984 hospitals were included. From 2009 to 2019, the total number of hospitals with stroke certification grew from 961 to 1763. Hospitals serving Black, racially segregated communities had the highest hazard of adopting stroke care certification (hazard ratio [HR], 1.67; 95% CI, 1.41-1.97) in models not accounting for population size, but their hazard was 26% lower than among those serving non-Black, racially segregated communities (HR, 0.74; 95% CI, 0.62-0.89) in models controlling for population and hospital size. Adoption hazard was lower in low-income communities compared with high-income communities, regardless of their level of economic segregation, and rural hospitals were much less likely to adopt any level of stroke care certification relative to urban hospitals (HR, 0.43; 95% CI, 0.35-0.51).

Conclusions and Relevance

In this analysis of stroke certification adoption across acute care hospitals in the US from 2009 to 2019, hospitals in low-income and rural communities had a lower likelihood of receiving stroke certification than hospitals in general communities. Hospitals operating in Black, racially segregated communities had the highest likelihood of adopting stroke care, but because these communities had the largest population, patients in these communities had the lowest likelihood of access to stroke-certified hospitals when the model controlled for population size. These findings provide empirical evidence that the provision of acute neurological services is structurally inequitable across historically underserved communities.

Social inequalities and gender differences in health care management of acute ischemic strokes in France

INTRODUCTION

There are regional disparities in access to stroke units in France. Several studies have shown that living in disadvantaged areas is associated with higher frequency of stroke, worse severity at presentation, increased level of dependency, and higher mortality rates. However, few studies have explored the association between an individual's socioeconomic characteristics and stroke care. Our study aimed to determine if living standards are associated with stroke unit access for patients admitted to hospital for acute ischemic stroke.

METHODS

Using the EDP-Santé French administrative database, we selected all patients admitted to hospital for acute ischemic stroke between 2014 and 2017. Acute ischemic stroke corresponded to hospital stay with ICD-10 codes I63 or I64 as the main diagnosis. Multivariate logistic regression was used to identify if standard of living was associated with likelihood of admission to a stroke unit.

RESULTS

We identified 14 123 acute-care episodes, corresponding to 335 273 episodes in the general population when appropriately weighted. Of these, 52.9 % were admitted to a stroke unit. Being in the first (i.e., poorest) living standard quartile was associated with lower likelihood of admission to a stroke unit compared with the fourth (i.e., wealthiest) quartile, and was associated with a higher likelihood of paralysis and language disorder, and death at 1 year.

CONCLUSION

A low living standard was associated with lower likelihood of admission to a stroke unit as well as a greater chance of paralysis and aphasia at the end of hospitalization and a higher possibility of death at 1 year after stroke. Greater access to stroke units in disadvantaged people should be promoted.

Socioeconomic status and stroke severity: Understanding indirect effects via risk factors and stroke prevention using innovative statistical methods for mediation analysis

Background

Those with low socioeconomic status have an increased risk of stroke, more severe strokes, reduced access to treatment, and more adverse outcomes after stroke. The question is why these differences are present. In this study we investigate to which extent the association between low socioeconomic status and stroke severity can be explained by differences in risk factors and stroke prevention drugs.

Methods

The study included 86 316 patients registered with an ischemic stroke in the Swedish Stroke Register (Riksstroke) 2012–2016. Data on socioeconomic status was retrieved from the Longitudinal integrated database for health insurance and labour market studies (LISA) by individual linkage. We used education level as proxy for socioeconomic status, with primary school education classified as low education. Stroke severity was measured using the Reaction Level Scale, with values above 1 classified as severe strokes. To investigate the pathways via risk factors and stroke prevention drugs we performed a mediation analysis estimating indirect and direct effects.

Results

Low education was associated with an excess risk of a severe stroke compared to mid/high education (absolute risk difference 1.4%, 95% CI: 1.0%-1.8%), adjusting for confounders. Of this association 28.5% was an indirect effect via risk factors (absolute risk difference 0.4%, 95% CI: 0.3%-0.5%), while the indirect effect via stroke prevention drugs was negligible.

Conclusion

Almost one third of the association between low education and severe stroke was explained by risk factors, and clinical effort should be taken to reduce these risk factors to decrease stroke severity among those with low socioeconomic status.

Fishing for health: Neighborhood variation in fish intake, fish quality and association with stroke risk among older adults in the Cardiovascular Health Study

BACKGROUND AND AIMS

Fish consumption has been associated with better health outcomes. Dietary patterns may vary substantially by neighborhood of residence. However, it is unclear if the benefits of a healthy diet are equivalent in different communities. This study examines associations of fish consumption with stroke incidence and stroke risk factors, and whether these differ by neighborhood socioeconomic status (NSES).

METHODS AND RESULTS

We studied 4007 participants in the Cardiovascular Health Study who were 65 years or older and recruited between 1989 and 1990 from 4 US communities. Outcomes included fish consumption type (bakes/broiled vs. fried) and frequency, stroke incidence, and stroke risk factors. Multilevel regressions models were used to estimate fish consumption associations with clinical outcomes. Lower NSES was associated with higher consumption of fried fish (aOR = 1.47, 95% CI: 1.10-1.98) and lower consumption of non-fried fish (0.64, 0.47-0.86). Frequent fried fish (11.9 vs. 9.2 person-years for at least once weekly vs. less than once a month, respectively) and less frequent non-fried fish (17.7 vs. 9.6 person-years for less than once a month vs. at least once weekly, respectively) were independently associated with an increased risk of stroke (p-values < 0.05). However, among those with similar levels of healthy fish consumption, residents with low NSES had less benefit on stroke risk reduction, compared with high NSES.

CONCLUSION

Fish consumption type and frequency both impact stroke risk. Benefits of healthy fish consumption differ by neighborhood socioeconomic status.

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.

Association of Ischemic Stroke Incidence, Severity, and Recurrence With Dementia in the Atherosclerosis Risk in Communities Cohort Study

IMPORTANCE

Ischemic stroke is associated with increased risk of dementia, but the association of stroke severity and recurrence with risk of impaired cognition is not well known.

OBJECTIVE

To examine the risk of dementia after incident ischemic stroke and assess how it differed by stroke severity and recurrence.

DESIGN, SETTING, AND PARTICIPANTS

The Atherosclerosis Risk in Communities (ARIC) study is an ongoing prospective cohort of 15 792 community-dwelling individuals from 4 US states (Mississippi, Maryland, Minnesota, and North Carolina). Among them, 15 379 participants free of stroke and dementia at baseline (1987 to 1989) were monitored through 2019. Data were analyzed from April to October 2021. Associations between dementia and time-varying ischemic stroke incidence, frequency, and severity were studied across an average of 4.4 visits over a median follow-up of 25.5 years with Cox proportional hazards models adjusted for sociodemographic characteristics, apolipoprotein E, and vascular risk factors.

EXPOSURES

Incident and recurrent ischemic strokes were classified by expert review of hospital records, with severity defined by the National Institutes of Health Stroke Scale (NIHSS; minor, ≤5; mild, 6-10; moderate, 11-15; and severe, ≥16).

MAIN OUTCOMES AND MEASURES

Dementia cases adjudicated through expert review of in-person evaluations, informant interviews, telephone assessments, hospitalization codes, and death certificates. In participants with stroke, dementia events in the first year after stroke were not counted.

RESULTS

At baseline, the mean (SD) age of participants was 54.1 (5.8) years, and 8485 of 15 379 participants (55.2%) were women. A total of 4110 participants (26.7%) were Black and 11 269 (73.3%) were White. A total of 1378 ischemic strokes (1155 incident) and 2860 dementia cases were diagnosed 1 year or more after incident stroke in participants with stroke, or at any point after baseline in participants without stroke, were identified through December 31, 2019. NIHSS scores were available for 1184 of 1378 ischemic strokes (85.9%). Risk of dementia increased with both the number and severity of strokes. Compared with no stroke, risk of dementia by adjusted hazard ratio was 1.76 (95% CI, 1.49-2.00) for 1 minor to mild stroke, 3.47 (95% CI, 2.23-5.40) for 1 moderate to severe stroke, 3.48 (95% CI, 2.54-4.76) for 2 or more minor to mild strokes, and 6.68 (95% CI, 3.77-11.83) for 2 or more moderate to severe strokes.

CONCLUSIONS AND RELEVANCE

In this study, risk of dementia significantly increased after ischemic stroke, independent of vascular risk factors. Results suggest a dose-response association of stroke severity and recurrence with risk of dementia.

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.

Neurologic Complications of Poverty: the Associations Between Poverty as a Social Determinant of Health and Adverse Neurologic Outcomes

PURPOSE OF REVIEW

Increasing attention has been paid in recent decades to social determinants of health as a risk factor for disease development and disease severity. While traditionally heart disease, family history, lipid profile, and tobacco use have all been associated with increased risk of neurological disease, numerous studies now show that the influence of poverty may be just as strong a risk factor. This study summarizes the recent literature on poverty as it contributes to neurological disease.

RECENT FINDINGS

Children growing up in poverty have increased risk for cognitive deficits and behavioral disorders as reported by Noble et al. (Dev Sci. 9(6):642-54, 2006) and Farah et al. (Brain Res. 1110(1):166-74, 2006) as well as worse outcomes when it comes to epilepsy management and disease course as discussed by Camfield et al. (Epilepsia. 57(11):1826-33, 2016). In adulthood, as the number of social determinants of health increases, the incidence of stroke and severe stroke increases significantly as reported by Reshetnyak et al. (Stroke. 51:2445-53, 2020) as does exposure to neurologically significant infectious diseases and incidence of dementia as reported by Sumilo et al. (Rev Med Virol. 18(2):81-95, 2008) and Zuelsdorff et al. (Alzheimer's Dement. 6(1):e12039, 2020). Social determinants of health including poverty should be considered a risk factor for disease. More attention is needed from clinicians as well as from a public health perspective to address this disparity.

Divergent poststroke outcomes for black patients: Lower mortality, but greater disability

OBJECTIVE

To explore racial differences in disability at the time of first postdischarge disability assessment.

METHODS

This was a retrospective cohort study of all Medicare fee-for-service beneficiaries hospitalized with primary ischemic stroke (ICD-9,433.x1, 434.x1, 436) or intracerebral hemorrhage (431) diagnosed from 2011 to 2014. Racial differences in poststroke disability were measured in the initial postacute care setting (inpatient rehabilitation facility, skilled nursing facility, or home health) with the Pseudo-Functional Independence Measure. Given that assignment into postacute care setting may be nonrandom, patient location during the first year after stroke admission was explored.

RESULTS

A total of 390,251 functional outcome assessments (white = 339,253, 87% vs black = 50,998, 13%) were included in the primary analysis. At the initial functional assessment, black patients with stroke had greater disability than white patients with stroke across all 3 postacute care settings. The difference between white and black patients with stroke was largest in skilled nursing facilities (black patients 1.8 points lower than white patients, 11% lower) compared to the other 2 settings. Conversely, 30-day mortality was greater in white patients with stroke compared to black patients with stroke (18.4% vs 12.6% [p < 0.001]) and a 3 percentage point difference in mortality persisted at 1 year. Black patients with stroke were more likely to be in each postacute care setting at 30 days, but only very small differences existed at 1 year.

CONCLUSIONS

Black patients with stroke have 30% lower 30-day mortality than white patients with stroke, but greater short-term disability. The reasons for this disconnect are uncertain, but the pattern of reduced mortality coupled with increased disability suggests that racial differences in care preferences may play a role.

Prevalence of Balance Impairment Among Stroke Survivors Undergoing Neurorehabilitation in Nigeria

BACKGROUND

Poststroke balance impairment adversely affects stroke outcomes and addressing the impairment is expected to constitute an important focus of neurorehabilitation.

AIMS

To examine the prevalence and factors associated with balance impairment after stroke.

METHODS

Ninety-five stroke survivors undergoing neurorehabilitation at 2 government hospitals in Northern Nigeria participated in this cross-sectional study. Berg Balance Scale (BBS) was used to assess the presence of balance impairment (BBS score of 0-20). Prevalence of balance impairment was presented as frequency and percentage while demographic and stroke-related determinants of balance impairments were identified using logistic regression analysis.

RESULTS

Thirty-five (36.8%) stroke survivors had balance impairment, and age, gender, and poststroke duration were statistically significant determinants. Stroke survivors aged less than 40 years (odds ratio [OR] = .14 [confidence interval [CI] = .20-.94]) and 40-59 years (OR = .23 [CI = .06-.81]) had a lower likelihood of having balance impairment compared to stroke survivors aged 60 years and above. Similarly, males had a lower likelihood of having balance impairment (OR = 1.60 [CI = .05-.55]) compared to females while those in the acute/subacute phase of stroke had a 7-fold likelihood of having balance impairment (OR = 7.74 [CI = 2.63-22.79]) compared to those with chronic stroke.

CONCLUSIONS

Poststroke balance impairment appears to be significantly influenced by stroke survivors' age, gender, and poststroke duration. Hence, these variables should be considered when planning rehabilitation strategies for improving balance after stroke.

The Kentucky Appalachian Stroke Registry (KApSR)

BACKGROUND

The population of rural Kentucky and West Virginia has a disproportionately high incidence of stroke and stroke risk factors. The Kentucky Appalachian Stroke Registry (KApSR) is a novel registry of stroke patients developed to collect demographic and clinical data in real time from these patients' electronic health records.

OBJECTIVE

We describe the development of this novel registry and test it for ability to provide the information necessary to identify care gaps and direct clinical management.

METHODS

The KApSR was developed as described in this article. To assess utility in patient care, we developed a "Diabetes Quality Assurance Dashboard" by cross-referencing patients in the registry with a diagnosis of ischemic cerebrovascular disease with patients that were tested for hemoglobin A1c (HbA1c) levels, patients with HbA1c levels diagnostic for diabetes mellitus (DM), and patients with an elevated HbA1c that were formally diagnosed with DM.

RESULTS

For the 1008 patients treated for ischemic cerebrovascular disease in the year studied, 859 (85%) had their HbA1c tested. Of those, 281 had levels of 6.5 or greater, although only 261 (93%) were discharged with a formal diagnosis of DM.

CONCLUSIONS

The KApSR has practical value as a tool to assess a large population of patients quickly for care quality and for research purposes.

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.

No Racial Difference in Rehabilitation Therapy Across All Post-Acute Care Settings in the Year Following a Stroke

BACKGROUND AND PURPOSE

Black stroke survivors experience greater poststroke disability than whites. Differences in post-acute rehabilitation may contribute to this disparity. Therefore, we estimated racial differences in rehabilitation therapy utilization, intensity, and the number of post-acute care settings in the first year after a stroke.

METHODS

We used national Medicare data to study 186 168 elderly black and white patients hospitalized with a primary diagnosis of stroke in 2011. We tabulated the proportion of stroke survivors receiving physical, occupational, and speech and language therapy in each post-acute care setting (inpatient rehabilitation facility, skilled nursing facility, and home health agency), minutes of therapy, and number of transitions between settings. We then used generalized linear models to determine whether racial differences in minutes of physical therapy were influenced by demographics, comorbidities, thrombolysis, and markers of stroke severity.

RESULTS

Black stroke patients were more likely to receive each type of therapy than white stroke patients. Compared with white stroke patients, black stroke patients received more minutes of physical therapy (897.8 versus 743.4; P<0.01), occupational therapy (752.7 versus 648.9; P<0.01), and speech and language therapy (865.7 versus 658.1; P<0.01). There were no clinically significant differences in physical therapy minutes after adjustment. Blacks had more transitions (median, 3; interquartile range, 1-5) than whites (median, 2; interquartile range, 1-5; P<0.01).

CONCLUSIONS

There are no clinically significant racial differences in rehabilitation therapy utilization or intensity after accounting for patient characteristics. It is unlikely that differences in rehabilitation utilization or intensity are important contributors to racial disparities in poststroke disability.

Synergism of Short-Term Air Pollution Exposures and Neighborhood Disadvantage on Initial Stroke Severity

BACKGROUND AND PURPOSE

Little is known about the relation between environment and stroke severity. We investigated associations between environmental exposures, including neighborhood socioeconomic disadvantage and short-term exposure to airborne particulate matter <2.5 μm and ozone, and their interactions with initial stroke severity.

METHODS

First-ever ischemic stroke cases were identified from the Brain Attack Surveillance in Corpus Christi project (2000-2012). Associations between pollutants, disadvantage, and National Institutes of Health Stroke Scale were modeled using linear and logistic regression with adjustment for demographics and risk factors. Pollutants and disadvantage were modeled individually, jointly, and with interactions.

RESULTS

Higher disadvantage scores and previous-day ozone concentrations were associated with higher odds of severe stroke. Higher levels of particulate matter <2.5 μm were associated with higher odds of severe stroke among those in higher disadvantage areas (odds ratio, 1.24; 95% confidence interval, 1.00-1.55) but not in lower disadvantage areas (odds ratio, 0.82; 95% confidence interval, 0.56-1.22; P interaction =0.097).

CONCLUSIONS

Air pollution exposures and neighborhood socioeconomic status may be important in understanding stroke severity. Future work should consider the multiple levels of influence on this important stroke outcome.

Social deprivation and stroke severity on admission: a French cohort study in Burgundy and the West Indies - Guyana region

BACKGROUND AND PURPOSE

Although there is growing and convincing evidence that socially deprived patients are at higher risk of stroke and worse outcomes, it remains controversial whether or not they suffer more severe stroke. This study aimed to evaluate the influence of social deprivation on initial clinical severity in patients with stroke.

METHODS

A total of 1536 consecutive patients with an acute first-ever stroke (both ischaemic stroke and intracerebral hemorrhage) were prospectively enrolled from six French study centers. Stroke severity on admission was measured by the National Institutes of Health Stroke Scale score. Social deprivation was assessed at the individual level by the Evaluation de la Précarité et des Inégalités de santé dans les Centres d'Examen de Santé (EPICES) score, a validated multidimensional questionnaire, and several additional single socioeconomic indicators. Polytomous logistic regression analyses were performed to evaluate the association between social deprivation and stroke severity.

RESULTS

In univariate analysis, the EPICES score (P = 0.039) and level of education (P = 0.018) were the only two socioeconomic variables associated with stroke severity. Multivariate analysis of the association between EPICES and National Institutes of Health Stroke Scale scores showed that more deprived patients presented a significantly higher risk of both mild and moderate/severe stroke (odds ratio for mild versus minor stroke, 1.39; 95% confidence interval, 1.06-1.84; odds ratio for moderate/severe versus minor stroke, 1.44; 95% confidence interval, 1.09-1.92). A non-significant trend towards a higher risk of both mild and moderate/severe stroke in less educated patients was observed.

CONCLUSIONS

Social deprivation was associated with a more severe clinical presentation in patients with stroke. These findings may contribute to the worse outcome after stroke in deprived patients, and underline the need for strategies to reduce social inequalities for stroke.

Stroke Risk Factors, Genetics, and Prevention

Stroke is a heterogeneous syndrome, and determining risk factors and treatment depends on the specific pathogenesis of stroke. Risk factors for stroke can be categorized as modifiable and nonmodifiable. Age, sex, and race/ethnicity are nonmodifiable risk factors for both ischemic and hemorrhagic stroke, while hypertension, smoking, diet, and physical inactivity are among some of the more commonly reported modifiable risk factors. More recently described risk factors and triggers of stroke include inflammatory disorders, infection, pollution, and cardiac atrial disorders independent of atrial fibrillation. Single-gene disorders may cause rare, hereditary disorders for which stroke is a primary manifestation. Recent research also suggests that common and rare genetic polymorphisms can influence risk of more common causes of stroke, due to both other risk factors and specific stroke mechanisms, such as atrial fibrillation. Genetic factors, particularly those with environmental interactions, may be more modifiable than previously recognized. Stroke prevention has generally focused on modifiable risk factors. Lifestyle and behavioral modification, such as dietary changes or smoking cessation, not only reduces stroke risk, but also reduces the risk of other cardiovascular diseases. Other prevention strategies include identifying and treating medical conditions, such as hypertension and diabetes, that increase stroke risk. Recent research into risk factors and genetics of stroke has not only identified those at risk for stroke but also identified ways to target at-risk populations for stroke prevention.

Neighborhood Influences on Emergency Medical Services Use for Acute Stroke: A Population-Based Cross-sectional Study

STUDY OBJECTIVE

Delay to hospital arrival limits acute stroke treatment. Use of emergency medical services (EMS) is key in ensuring timely stroke care. We aim to identify neighborhoods with low EMS use and to evaluate whether neighborhood-level factors are associated with EMS use.

METHODS

We conducted a secondary analysis of data from the Brain Attack Surveillance in Corpus Christi project, a population-based stroke surveillance study of ischemic stroke and intracerebral hemorrhage cases presenting to emergency departments in Nueces County, TX. The primary outcome was arrival by EMS. The primary exposures were neighborhood resident age, poverty, and violent crime. We estimated the association of neighborhood-level factors with EMS use, using hierarchic logistic regression, controlling for individual factors (stroke severity, ethnicity, and age).

RESULTS

During 2000 to 2009 there were 4,004 identified strokes, with EMS use data available for 3,474. Nearly half (49%) of stroke cases arrived by EMS. Adjusted stroke EMS use was lower in neighborhoods with higher family income (odds ratio [OR] 0.86; 95% confidence interval [CI] 0.75 to 0.97) and a larger percentage of older adults (OR 0.70; 95% CI 0.56 to 0.89). Individual factors associated with stroke EMS use included white race (OR 1.41; 95% CI 1.13 to 1.76) and older age (OR 1.36 per 10-year age increment; 95% CI 1.27 to 1.46). The proportion of neighborhood stroke cases arriving by EMS ranged from 17% to 71%. The fully adjusted model explained only 0.3% (95% CI 0% to 1.1%) of neighborhood EMS stroke use variance, indicating that individual factors are more strongly associated with stroke EMS use than neighborhood factors.

CONCLUSION

Although some neighborhood-level factors were associated with EMS use, patient-level factors explained nearly all variability in stroke EMS use. In this community, strategies to increase EMS use should target individuals rather than specific neighborhoods.

Towards an Understanding of Racial Differences in Post-stroke Disability

Due to the aging of the baby boomer generation, the number of stroke survivors is expected to increase from 7 million to over 10 million in 2030. Stroke survivorship will be particularly important for African Americans who have a higher incidence of strokes compared to non-Hispanics whites and greater post stroke disability. Current evidence suggests that the most prominent racial differences in post-stroke disability emerge in the post-stroke period. Further work, with a focus on modifiable factors, is needed to understand which factors in the post-stroke period lead to racial differences in post-stroke disability.

Racial Disparities in Poststroke Activity Limitations Are Not due to Differences in Prestroke Activity Limitation

BACKGROUND

African Americans experience greater poststroke disability than whites. We explored whether these differences are because of differences in prestroke function.

METHODS

The Panel Study of Income Dynamics (PSID) is a nationally representative US panel survey of families and their descendants. We included all PSID respondents who reported an incident stroke between 2001 and 2011. Our primary outcome was an index representing the sum of total activities of daily living (ADL) limitations (0-7), and the secondary outcome was an index of instrumental activities of daily living (IADL) limitations (0-6). Survey-weighted descriptive statistics and Poisson regression were used to estimate racial differences in ADL and IADL before, with, and after the wave when incident stroke was reported.

RESULTS

A total of 534 incident strokes were identified, 198 (37%) in African Americans. There were no prestroke racial differences in activity limitations (.7 versus .7, P = .99). In the wave of the incident stroke (between 0 and 2 years from incident stroke), African Americans had considerably more ADL limitations than whites (2.2 versus 1.5, P = .048). These racial differences persisted after adjusting for age, sex, and comorbidities. For IADLs, adjusted models suggested small prestroke racial differences and larger poststroke differences.

CONCLUSIONS

Racial disparities in poststroke ADL limitations are not due to prestroke activity limitations. Instead, differences appear largest in the first 2 years after stroke.

Stroke subtypes and factors associated with ischemic stroke in Kinshasa, Central Africa

BACKGROUND AND PURPOSE

Ischemic stroke causes death and disability worldwide. Better understanding and controlling factors associated will improve the prevention of the disease. This study reviews records of patients with ischemic stroke in Central Africa.

MATERIAL AND METHODS

Patients of Bantu ethnicity with clinical diagnosis of stroke and lesion on computed tomography scan from January 2011 to December 2012 were selected. Computed tomographic subtypes of ischemic stroke and factors associated were considered with tropical seasonal variation.

RESULTS

Of the 303 first-ever stroke patients (average age 53 years old, range 3- 84 years old; 62% male) were included in the study. The prevalence of computed tomography stroke subtypes was: lacunar infarct (63%) and non lacunar infarct lesion (37%). Silent brain infarct was seen in 9 % of patients. Prevalence of factors associated with ischemic stroke was: age≥60 years old (55%); male gender (63%), chronic and uncontrolled hypertension (54%) and type 2 Diabetes mellitus (11%). A seasonal high prevalence was observed in warmer season (p < 0.05).

CONCLUSIONS

This study shows a high prevalence of lacunar infarct than non lacunar in Bantu of Central Africa.

Guidelines for the primary prevention of stroke: a statement for healthcare professionals from the American Heart Association/American Stroke Association

The aim of this updated statement is to provide comprehensive and timely evidence-based recommendations on the prevention of stroke among individuals who have not previously experienced a stroke or transient ischemic attack. Evidence-based recommendations are included for the control of risk factors, interventional approaches to atherosclerotic disease of the cervicocephalic circulation, and antithrombotic treatments for preventing thrombotic and thromboembolic stroke. Further recommendations are provided for genetic and pharmacogenetic testing and for the prevention of stroke in a variety of other specific circumstances, including sickle cell disease and patent foramen ovale.

Mortality following stroke during and after acute care according to neighbourhood deprivation: a disease registry study

BACKGROUND

Neighbourhood deprivation has been shown to be inversely associated with mortality 1 month after stroke. Whether this disadvantage begins while patients are still receiving acute care is unclear. We aimed to study mortality after stroke specifically in the period while patients are under acute care and the ensuing period when they are discharged to home or other care settings.

METHODS

Our sample includes 1760 incident strokes (mean age 75, 48% men, 86% ischaemic) identified between 1998 and 2010 by the population-based stroke registry of Dijon (France). We used Cox regression to study all-cause mortality up to 90 days after stroke occurrence.

RESULTS

Overall, 284 (16.1%) patients died during the 90 days following stroke. Prior to stroke, risk factors prevalence (eg, high blood pressure and diabetes) and acute care management did not vary across deprivation levels. There was no association between deprivation and mortality while patients were in acute care (HR comparing the highest to the lowest tertiles of deprivation: 1.01, 95% CI 0.71 to 1.43). After discharge, however, age and gender adjusted mortality gradually increased with deprivation (HR 2.08, 95% CI 1.07 to 4.02). This association was not modified when stroke type and severity were accounted for.

CONCLUSIONS

The gradient of higher poststroke mortality with increasing neighbourhood deprivation was noticeable only after acute hospital discharge. Quality of postacute care and social support are potential determinants of these variations.

Differences in initial stroke severity between Mexican Americans and non-Hispanic whites vary by age: the Brain Attack Surveillance in Corpus Christi (BASIC) project

BACKGROUND

A wide variety of racial and ethnic disparities in stroke epidemiology and treatment have been reported. Race-ethnic differences in initial stroke severity may be one important determinant of differences in the outcome after stroke. The overall goal of this study was to move beyond ethnic comparisons in the mean or median severity, and instead investigate ethnic differences in the entire distribution of initial stroke severity. Additionally, we investigated whether age modifies the relationship between ethnicity and initial stroke severity as this may be an important determinant of racial differences in the outcome after stroke.

METHODS

Ischemic stroke cases were identified from the population-based Brain Attack Surveillance in Corpus Christi (BASIC) project. National Institutes of Health Stroke Scale (NIHSS) was determined from the medical record or abstracted from the chart. Ethnicity was reported as Mexican American (MA) or non-Hispanic white (NHW). Quantile regression was used to model the distribution of NIHSS score by age category (45-59, 60-74, 75+) to test whether ethnic differences exist over different quantiles of NIHSS (5 percentile increments). Crude models examined the interaction between age category and ethnicity; models were then adjusted for history of stroke/transient ischemic attack, hypertension, atrial fibrillation, coronary artery disease, and diabetes. RESULTS were adjusted for multiple comparisons.

RESULTS

There were 4,366 ischemic strokes, with median age 72 (IQR: 61-81), 55% MA, and median NIHSS of 4 (IQR: 2-8). MAs were younger, more likely to have a history of hypertension and diabetes, but less likely to have atrial fibrillation compared to NHWs. In the crude model, the ethnicity-age interaction was not statistically significant. After adjustment, the ethnicity-age interaction became significant at the 85th and 95th percentiles of NIHSS distribution. MAs in the younger age category (45-59) were significantly less severe by 3 and 6 points on the initial NIHSS than NHWs, at the 85th and 95th percentiles, respectively. However, in the older age category (75+), there was a reversal of this pattern; MAs had more severe strokes than NHWs by about 2 points, though not reaching statistical significance.

CONCLUSIONS

There was no overall ethnic difference in stroke severity by age in our crude model. However, several potentially important ethnic differences among individuals with the most severe strokes were seen in younger and older stroke patients that were not explained by traditional risk factors. Age should be considered in future studies when looking at the complex distributional relationship between ethnicity and stroke severity.

Racial differences in disability after stroke: results from a nationwide study

OBJECTIVE

We sought to characterize racial differences in disability among older stroke survivors.

METHODS

A cross-sectional study of 806 self-reported stroke survivors from the 2011 National Health and Aging Trends Study was performed. Race was based on self-report. Primary outcome was activity limitations (requiring assistance with mobility, self-care, and household activities). Secondary outcome was participation restrictions, which were defined as reductions/absence in valued social activities because of health. Physical capacity was measured by a validated scale (0 low-12 high). Logistic regression was used to estimate average marginal effects of activity limitations and participation restrictions by race before and after adjusting for sociodemographics, comorbidities, and physical and cognitive capacity.

RESULTS

Non-Hispanic black participants had lower physical capacity than non-Hispanic white participants (mean 5.1 vs 6.9, p < 0.01). For most activities, black participants had significantly greater limitations than white participants. These differences persisted after accounting for sociodemographic factors and comorbidities, but largely became nonsignificant after accounting for physical capacity. The only unadjusted racial difference in participation restriction was in religious service attendance (18.2% of white participants vs 28.6% of black participants, p < 0.01).

CONCLUSION

After stroke, black individuals have a greater prevalence of activity limitations than white individuals, largely due to their greater physical capacity limitations. Further understanding of the causes of racial differences in capacity after stroke is needed to reduce activity limitations after stroke and decrease racial disparities.

Stroke outcomes measures must be appropriately risk adjusted to ensure quality care of patients: a presidential advisory from the American Heart Association/American Stroke Association

Because stroke is among the leading causes of death, disability, hospitalizations, and healthcare expenditures in the United States, there is interest in reporting outcomes for patients hospitalized with acute ischemic stroke. The American Heart Association/American Stroke Association, as part of its commitment to promote high-quality, evidence-based care for cardiovascular and stroke patients, fully supports the development of properly risk-adjusted outcome measures for stroke. To accurately assess and report hospital-level outcomes, adequate risk adjustment for case mix is essential. During the development of the Centers for Medicare & Medicaid Services 30-day stroke mortality and 30-day stroke readmission measures, concerns were expressed that these measures were not adequately designed because they do not include a valid initial stroke severity measure, such as the National Institutes of Health Stroke Scale. These outcome measures, as currently constructed, may be prone to mischaracterizing the quality of stroke care being delivered by hospitals and may ultimately harm acute ischemic stroke patients. This article details (1) why the Centers for Medicare & Medicaid Services acute ischemic stroke outcome measures in their present form may not provide adequate risk adjustment, (2) why the measures as currently designed may lead to inaccurate representation of hospital performance and have the potential for serious unintended consequences, (3) what activities the American Heart Association/American Stroke Association has engaged in to highlight these concerns to the Centers for Medicare & Medicaid Services and other interested parties, and (4) alternative approaches and opportunities that should be considered for more accurately risk-adjusting 30-day outcomes measures in patients with ischemic stroke.

A poverty-related quality of life questionnaire can help to detect health inequalities in emergency departments

OBJECTIVES

This study aimed to develop a self-administered, multidimensional, poverty-related quality of life (PQoL) questionnaire for individuals seeking care in emergency departments (EDs): the PQoL-17.

STUDY DESIGN AND SETTING

The development of the PQoL was undertaken in three steps: item generation, item reduction, and validation. The content of the PQoL was derived from 80 interviews with patients seeking care in EDs. Using item response and classical test theories, item reduction was performed in 3 EDs on 300 patients and validation was completed in 10 EDs on 619 patients.

RESULTS

The PQoL contains 17 items describing seven dimensions (self-esteem/vitality, psychological well-being, relationships with family, relationships with friends, autonomy, physical well-being/access to care, and future perception). The seven-factor structure accounted for 75.1% of the total variance. This model showed a good fit (indices from the LISREL model: root mean square error of approximation, 0.055; comparative fit index, 0.97; general fit index, 0.96; standardized root mean square residual, 0.058). Each item achieved the 0.40 standard for item internal consistency, and Cronbach α coefficients were >0.70. Significant associations with socioeconomic and clinical indicators showed good discriminant and external validity. Infit statistics ranged from 0.82 to 1.16.

CONCLUSION

The PQoL-17 presents satisfactory psychometric properties and can be completed quickly, thereby fulfilling the goal of brevity sought in EDs.

Effect of Socioeconomic Status on Inpatient Mortality and Use of Postacute Care After Subarachnoid Hemorrhage

Background and Purpose—

Studies in the United States and Canada have demonstrated socioeconomic gradients in outcomes of acute life-threatening cardiovascular and cerebrovascular diseases. The extent to which these findings are applicable to subarachnoid hemorrhage is uncertain. This study investigated socioeconomic status-related differences in risk of inpatient mortality and use of institutional postacute care after subarachnoid hemorrhage in the United States and Canada.

Methods—

Subarachnoid hemorrhage patient records in the US Nationwide Inpatient Sample database (2005–2010) and the Canadian Discharge Abstract Database (2004–2010) were analyzed separately, and summative results were compared. Both databases are nationally representative and contain relevant sociodemographic, diagnostic, procedural, and administrative information. We determined socioeconomic status on the basis of estimated median household income of residents for patient’s ZIP or postal code. Multinomial logistic regression models were fitted with adjustment for relevant confounding covariates.

Results—

The cohort consisted of 31 631 US patients and 16 531 Canadian patients. Mean age (58 years) and crude inpatient mortality rates (22%) were similar in both countries. A significant income–mortality association was observed among US patients (odds ratio, 0.77; 95% CI, 0.65–0.93), which was absent among Canadian patients (odds ratio, 0.97; 95% CI, 0.85–1.12). Neighborhood income status was not significantly associated with use of postacute care in the 2 countries.

Conclusions—

Socioeconomic status is associated with subarachnoid hemorrhage inpatient mortality risk in the United States, but not in Canada, although it does not influence the pattern of use of institutional care among survivors in both countries.

Profiles of the National Institutes of Health Stroke Scale items as a predictor of patient outcome

BACKGROUND AND PURPOSE

Initial National Institutes of Health Stroke Scale (NIHSS) score is highly predictive of outcome after ischemic stroke. We examined whether grouping strokes by presence of individual NIHSS symptoms could provide prognostic information additional or alternative to the NIHSS total score.

METHODS

Ischemic strokes from the Greater Cincinnati Northern Kentucky Stroke Study in 2005 were used to develop the model. Latent class analysis was implemented to form groups of patients with similar retrospective NIHSS (rNIHSS) item responses. Profile group was then used as an independent predictor of discharge modified Rankin and mortality, using logistic regression and Cox proportional hazards model.

RESULTS

A total of 2112 stroke patients were identified in 2005. Six distinct profiles were characterized. Consistent with the profile patterns, the median rNIHSS total score decreased from profile A "most severe" (median [interquartile range], 20 [15-25]) to profile F "mild" (1[1-2]). Two profiles falling between these extremes, C and D, both had median rNIHSS total score of 5, but different survival rates. Compared with A, C was associated with 59% risk reduction for death, whereas D with 70%. C patients were more likely to have decreased level of consciousness and abnormal language, whereas D patients were more likely to have abnormal right arm and right leg motor function.

CONCLUSIONS

Six rNIHSS profiles were identifiable using latent class analysis. In particular, 2 symptom profiles with identical median rNIHSSS were observed with widely disparate outcomes, which may prove useful both clinically and for research studies as an enhancement to the overall NIHSS score.

Racial and socioeconomic disparities in access to mechanical revascularization procedures for acute ischemic stroke

BACKGROUND

Mechanical revascularization procedures performed for treatment of acute ischemic stroke have increased in recent years. Data suggest association between operative volume and mortality rates. Understanding procedural allocation and patient access patterns is critical. Few studies have examined these demographics.

METHODS

Data were collected from the 2008 Nationwide Inpatient Sample database. Patients hospitalized with ischemic stroke and the subset of individuals who underwent mechanical thrombectomy were characterized by race, payer source, population density, and median wealth of the patient's zip code. Demographic data among patients undergoing mechanical thrombectomy procedures were examined. Stroke admission demographics were analyzed according to thrombectomy volume at admitting centers and patient demographics assessed according to the thrombectomy volume at treating centers.

RESULTS

Significant allocation differences with respect to frequency of mechanical thrombectomy procedures among stroke patients existed according to race, expected payer, population density, and wealth of the patient's zip code (P < .0001). White, Hispanic, and Asian/Pacific Islander patients received endovascular treatment at higher rates than black and Native American patients. Compared with the white stroke patients, black (P < .001), Hispanic (P < .001), Asian/Pacific Islander (P < .001), and Native American stroke patients (P < .001) all demonstrated decreased frequency of admission to hospitals performing mechanical thrombectomy procedures at high volumes. Among treated patients, blacks (P = .0876), Hispanics (P = .0335), and Asian/Pacific Islanders (P < .001) demonstrated decreased frequency in mechanical thrombectomy procedures performed at high-volume centers when compared with whites. While present, socioeconomic disparities were not as consistent or pronounced as racial differences.

CONCLUSIONS

We demonstrate variances in endovascular acute stroke treatment allocation according to racial and socioeconomic factors in 2008. Efforts should be made to monitor and address potential disparities in treatment utilization.

Prehospital stroke diagnosis and treatment in ambulances and helicopters-a concept paper

Stroke is the second common cause of death and the primary cause of early invalidity worldwide. Different from other diseases is the time sensitivity related to stroke. In case of an ischemic event occluding a brain artery, 2000000 neurons die every minute. Stroke diagnosis and treatment should be initiated at the earliest time point possible, preferably at the site or during patient transport. Portable ultrasound has been used for prehospital diagnosis for applications other than stroke, and its acceptance as a valuable diagnostic tool "in the field" is growing. The intrahospital use of transcranial ultrasound for stroke diagnosis has been described extensively in the literature. Beyond its diagnostic use, first clinical trials as well as numerous preclinical work demonstrate that ultrasound can be used to accelerate clot lysis (sonothrombolysis) in presence as well as in absence of tissue plasminogen activator. Hence, the use of transcranial ultrasound for diagnosis and possibly treatment of stroke bares the potential to add to current stroke care paradigms significantly. The purpose of this concept article is to describe the opportunities presented by recent advances in transcranial ultrasound to diagnose and potentially treat large vessel embolic stroke in the prehospital environment.