Cumulative Systolic Blood Pressure and Incident Stroke Type Variation by Race and Ethnicity.

Importance: Stroke risk varies by systolic blood pressure (SBP), race, and ethnicity. The association between cumulative mean SBP and incident stroke type is unclear, and whether this association differs by race and ethnicity remains unknown. Objective: To examine the association between cumulative mean SBP and first incident stroke among 3 major stroke types-ischemic stroke (IS), intracerebral hemorrhage (ICH), and subarachnoid hemorrhage (SAH)-and explore how these associations vary by race and ethnicity. Design, Setting, and Participants: Individual participant data from 6 US longitudinal cohorts (January 1, 1971, to December 31, 2019) were pooled. The analysis was performed from January 1, 2022, to January 2, 2024. The median follow-up was 21.6 (IQR, 13.6-31.8) years. Exposure: Time-dependent cumulative mean SBP. Main Outcomes and Measures: The primary outcome was time from baseline visit to first incident stroke. Secondary outcomes consisted of time to first incident IS, ICH, and SAH. Results: Among 40 016 participants, 38 167 who were 18 years or older at baseline with no history of stroke and at least 1 SBP measurement before the first incident stroke were included in the analysis. Of these, 54.0% were women; 25.0% were Black, 8.9% were Hispanic of any race, and 66.2% were White. The mean (SD) age at baseline was 53.4 (17.0) years and the mean (SD) SBP at baseline was 136.9 (20.4) mm Hg. A 10-mm Hg higher cumulative mean SBP was associated with a higher risk of overall stroke (hazard ratio [HR], 1.20 [95% CI, 1.18-1.23]), IS (HR, 1.20 [95% CI, 1.17-1.22]), and ICH (HR, 1.31 [95% CI, 1.25-1.38]) but not SAH (HR, 1.13 [95% CI, 0.99-1.29]; P = .06). Compared with White participants, Black participants had a higher risk of IS (HR, 1.20 [95% CI, 1.09-1.33]) and ICH (HR, 1.67 [95% CI, 1.30-2.13]) and Hispanic participants of any race had a higher risk of SAH (HR, 3.81 [95% CI, 1.29-11.22]). There was no consistent evidence that race and ethnicity modified the association of cumulative mean SBP with first incident stroke and stroke type. Conclusions and Relevance: The findings of this cohort study suggest that cumulative mean SBP was associated with incident stroke type, but the associations did not differ by race and ethnicity. Culturally informed stroke prevention programs should address modifiable risk factors such as SBP along with social determinants of health and structural inequities in society.

Racial-Ethnic disparities in stroke prevalence among patients with heart failure.

Racial-ethnic disparities exist in the prevalence and outcomes of heart failure (HF) and are presumed to be related to differences in cardiovascular risk factor burden and control. There is little data on stroke disparities among patients with HF or the factors responsible. We hypothesized disparities in stroke prevalence exist among patients with HF in a manner not fully explained by burden of cardiovascular disease. We analyzed data from the National Health and Nutrition Examination Survey (1999-2014). Cardiovascular profiles were compared by race/ethnicity. Using survey-weighted models, effect modification of the relationship between HF and stroke by race/ethnicity was examined adjusting for cardiovascular profiles. Of 40,437 participants, 2.5 % had HF. The HF cohort had a greater proportion of White and Black participants (77 % vs 74 % and 15 % vs 12 %, respectively) and fewer participants of Hispanic ethnicity (8 % vs 14 %). Stroke was 8 times more prevalent in HF (19.6 % vs 2.3 %, <0.001). Among individuals with HF, race-ethnic differences were identified in the prevalence and mean values of vascular risk factors but were largely driven by higher rates in Black participants. There was significant interaction between HF and race/ethnicity; HF increased the odds of stroke over 7-fold in participants of Hispanic ethnicity (aOR: 7.84; 95 % CI: 4.11-15.0) but to a lesser extent in Black and White participants (Black aOR: 2.49; 95 % CI: 1.72-3.60; White aOR: 3.36; 95 % CI: 2.57-4.40). People of Hispanic ethnicity with HF have a disproportionately higher risk of stroke in a manner not fully explained by differences in vascular risk profiles.

Trends in American Indian/Alaskan native self-reported stroke prevalence and associated modifiable risk factors in the United States from 2011-2021.

BACKGROUND: Stroke prevalence varies by race/ethnicity, as do the risk factors that elevate the risk of stroke. Prior analyses have suggested that American Indian/Alaskan Natives (AI/AN) have higher rates of stroke and vascular risk factors. METHODS: We included biyearly data from the 2011-2021 Behavioral Risk Factor Surveillance System (BRFSS) surveys of adults (age ≥18) in the United States. We describe survey-weighted prevalence of stroke per self-report by race and ethnicity. In patients with self-reported stroke (SRS), we also describe the prevalence of modifiable vascular risk factors. RESULTS: The weighted number of U.S. participants represented in BRFSS surveys increased from 237,486,646 in 2011 to 245,350,089 in 2021. SRS prevalence increased from 2.9% in 2011 to 3.3% in 2021 (p<0.001). Amongst all race/ethnicity groups, the prevalence of stroke was highest in AI/AN at 5.4% and 5.6% in 2011 and 2021, compared to 3.0% and 3.4% for White adults (p<0.001). AI/AN with SRS were also the most likely to have four or more vascular risk factors in both 2011 and 2021 at 23.9% and 26.4% compared to 18.2% and 19.6% in White adults (p<0.001). CONCLUSION: From 2011-2021 in the United States, AI/AN consistently had the highest prevalence of self-reported stroke and highest overall burden of modifiable vascular risk factors. This persistent health disparity leaves AI/AN more susceptible to both incident and recurrent stroke.

Subclinical vascular composites predict clinical cardiovascular disease, stroke, and dementia: The Multi-Ethnic Study of Atherosclerosis (MESA).

BACKGROUND AND AIMS: Subclinical cardiovascular disease (CVD) measures may reflect biological pathways that contribute to increased risk for coronary heart disease (CHD) events, stroke, and dementia beyond conventional risk scores. METHODS: The Multi-Ethnic Study of Atherosclerosis (MESA) followed 6814 participants (45-84 years of age) from baseline in 2000-2002 to 2018 over 6 clinical examinations and annual follow-up interviews. MESA baseline subclinical CVD procedures included: seated and supineblood pressure, coronary calcium scan, radial artery tonometry, and carotid ultrasound. Baseline subclinical CVD measures were transformed into z-scores before factor analysis to derive composite factor scores. Time to clinical event for all-cause CVD, CHD, stroke and ICD code-based dementia events were modeled using Cox proportional hazards models reported as area under the curve (AUC) with 95% Confidence Intervals (95%CI) at 10 and 15 years of follow-up. All models included all factor scores together, and adjustment for conventional risk scores for global CVD, stroke, and dementia. RESULTS: After factor selection, 24 subclinical measures aggregated into four distinct factors representing: blood pressure, atherosclerosis, arteriosclerosis, and cardiac factors. Each factor significantly predicted time to CVD events and dementia at 10 and 15 years independent of each other and conventional risk scores. Subclinical vascular composites of atherosclerosis and arteriosclerosis best predicted time to clinical events of CVD, CHD, stroke, and dementia. These results were consistent across sex and racial and ethnic groups. CONCLUSIONS: Subclinical vascular composites of atherosclerosis and arteriosclerosis may be useful biomarkers to inform the vascular pathways contributing to events of CVD, CHD, stroke, and dementia.

Incidence of Stroke in Indigenous Populations of Countries With a Very High Human Development Index: A Systematic Review.

BACKGROUND AND OBJECTIVES: Cardiovascular disease contributes significantly to disease burden among many Indigenous populations. However, data on stroke incidence in Indigenous populations are sparse. We aimed to investigate what is known of stroke incidence in Indigenous populations of countries with a very high Human Development Index (HDI), locating the research in the broader context of Indigenous health. METHODS: We identified population-based stroke incidence studies published between 1990 and 2022 among Indigenous adult populations of developed countries using PubMed, Embase, and Global Health databases, without language restriction. We excluded non-peer-reviewed sources, studies with fewer than 10 Indigenous people, or not covering a 35- to 64-year minimum age range. Two reviewers independently screened titles, abstracts, and full-text articles and extracted data. We assessed quality using "gold standard" criteria for population-based stroke incidence studies, the Newcastle-Ottawa Scale for risk of bias, and CONSIDER criteria for reporting of Indigenous health research. An Indigenous Advisory Board provided oversight for the study. RESULTS: From 13,041 publications screened, 24 studies (19 full-text articles, 5 abstracts) from 7 countries met the inclusion criteria. Age-standardized stroke incidence rate ratios were greater in Aboriginal and Torres Strait Islander Australians (1.7-3.2), American Indians (1.2), Sámi of Sweden/Norway (1.08-2.14), and Singaporean Malay (1.7-1.9), compared with respective non-Indigenous populations. Studies had substantial heterogeneity in design and risk of bias. Attack rates, male-female rate ratios, and time trends are reported where available. Few investigators reported Indigenous stakeholder involvement, with few studies meeting any of the CONSIDER criteria for research among Indigenous populations. DISCUSSION: In countries with a very high HDI, there are notable, albeit varying, disparities in stroke incidence between Indigenous and non-Indigenous populations, although there are gaps in data availability and quality. A greater understanding of stroke incidence is imperative for informing effective societal responses to socioeconomic and health disparities in these populations. Future studies into stroke incidence in Indigenous populations should be designed and conducted with Indigenous oversight and governance to facilitate improved outcomes and capacity building. REGISTRATION INFORMATION: PROSPERO registration: CRD42021242367.

Diversity, Equity, and Inclusion Lessons From Developing Stroke Education Programs for West Michigan Asian Communities.

BACKGROUND: Asians in the United States, facing health care disparities, have increased stroke risk. Multiple subgroups, with distinct cultures and languages, add complexity to caring for Asian American (AsA) communities. We developed a tailored stroke education program for underserved West Michigan AsA communities. Methodology, lessons learned, and diversity, equity, and inclusion insights are described. METHODS: Neurology residents and faculty, in collaboration with trained community-specific navigators, developed culturally resonant stroke education that was tailored to meet the needs of specific self-identified West Michigan AsA communities. Educational and debriefing sessions were delivered over 6 months, following the Plan-Do-Study-Act model, to elucidate diversity, equity, and inclusion insights and improve materials and delivery methods. RESULTS: Eighty-six non-English-speaking participants from 5 self-identified AsA communities (Burmese, Buddhist Vietnamese, Catholic Vietnamese, Chinese, and Nepali) attended educational stroke sessions. The average age of attendees was 57.6±13.2 years; most were females (70%). Diversity, equity, and inclusion insights included identification of Asian cultural beliefs about acute stroke treatment (eg, bloodletting), investigator insights (eg, need for kitchen-table programs), systemic barriers (eg, language), and mitigation strategies. CONCLUSIONS: Institutions should consider the integration of equity-focused, trainee-influenced quality improvement projects, such as this culturally resonant stroke educational program for AsA, to enhance stroke care in these vulnerable communities.

Comparison of performances of SIREN or MFSRS in stroke risk prediction in an African environment.

BACKGROUND: The Modified Framingham Stroke Risk Score (MFSRS) is a widely utilized stroke risk assessment algorithm usually applied in international comparison. The Stroke Investigative Research and Educational Network (SIREN) is the only known African-specific stroke risk assessment algorithm. AIMS AND OBJECTIVES: To compare stroke risk estimates from the SIREN and the MFSRS in an African community. METHODS: This was a population-based cross-sectional survey involving consecutively recruited 310 consenting adult residents (mean age = 37.21 ± 15.84 years) of a Nigerian community. Risk factors of stroke were assessed among the participants and were utilized in calculating stroke risk estimates on the MFSRS and the SIREN. The obtained data were analyzed using descriptive statistics and the Spearman-rank order correlation test at an alpha level of 0.05. RESULTS: The percentage stroke risk scores estimated by the SIREN and the MFSRS were 34.5% and 6.79% respectively. The most prevalent risk factors among the participants were hypertriglyceridemia (100.0%), raised waist-hip ratio (50.6%), hypercholesterolemia (45.5), physical inactivity (43.2%), psychological stress (41.3%), and hypertension (37.7%). Only two (hypertriglyceridemia and high blood pressure) out of the six factors considered in the MFSRS were rated among the first 10 most impactful risks by the SIREN. There was a weak correlation between the total scores on the MFSRS and the SIREN (rho = 0.39; p < 0.01) suggesting that the two ratings were discordant. CONCLUSION: There were disagreements between the risk estimates on the SIREN and MFSRS with SIREN having a higher estimate that corresponded with the literature; this may be suggesting a poorer estimation of stroke risks by the MFSRS in an African environment. There is a need for large African-based quality control studies to determine and address these lapses.

Mexican Americans agree to participate in longitudinal clinical research more than non-Hispanic whites.

BACKGROUND: The National Institutes of Health has advocated for improved minority participation in clinical research, including clinical trials and observational epidemiologic studies since 1993. An understanding of Mexican Americans (MAs) participation in clinical research is important for tailoring recruitment strategies and enrollment techniques for MAs. However, contemporary data on MA participation in observational clinical stroke studies are rare. We examined differences between Mexican Americans (MAs) and non-Hispanic whites (NHWs) participation in a population-based stroke study. METHODS: We included 3,594 first ever stroke patients (57.7% MAs, 48.7% women, median [IQR] age 68 [58-79]) from the Brain Attack Surveillance in Corpus Christi Project, 2009-2020 in Texas, USA, who were approached and invited to participate in a structured baseline interview. We defined participation as completing a baseline interview by patient or proxy. We used log-binomial models adjusting for prespecified potential confounders to estimate prevalence ratios (PR) of participation comparing MAs with NHWs. We tested interactions of ethnicity with age or sex to examine potential effect modification in the ethnic differences in participation. We also included an interaction between year and ethnicity to examine ethnic-specific temporal trends in participation. RESULTS: Baseline participation was 77.0% in MAs and 64.2% in NHWs (Prevalence Ratio [PR] 1.20; 95% CI, 1.14-1.25). The ethnic difference remained after multivariable adjustment (1.17; 1.12-1.23), with no evidence of significant effect modification by age or sex (Pinteraction by age = 0.68, Pinteraction by sex = 0.83). Participation increased over time for both ethnic groups (Ptrend < 0.0001), but the differences in participation between MAs and NHWs remained significantly different throughout the 11-year time period. CONCLUSION: MAs were persistently more likely to participate in a population-based stroke study in a predominantly MA community despite limited outreach efforts towards MAs during study enrollment. This finding holds hope for future research studies to be inclusive of the MA population.

Neighborhood socioeconomic disadvantage measures in rehabilitation clinical trials: Lessons learned in recruitment.

PURPOSE: The Area Deprivation Index (ADI) measures the relative disadvantage of an individual or social network using US Census indicators. Although a strong re-hospitalization predictor, ADI has not been routinely incorporated into rehabilitation research. The purposes of this paper are to examine the use of ADI related to study recruitment, association with carepartner psychosocial factors, and recruitment strategies to increase participant diversity. METHODS: Descriptive analysis of baseline data from a pilot stroke carepartner-integrated therapy trial. Participants were 32 carepartners (N = 32; 62.5 % female; mean age 57.8 ± 13.0 years) and stroke survivors (mean age (60.6 ± 14.2) residing in an urban setting. Measures included ADI, Bakas Caregiver Outcome Scale, Caregiver Strain Index, and Family Assessment Device. RESULTS: Most carepartners were Non-Hispanic White participants (61.3 %), part or fully employed (43 %), with >$50,000 (67.7 %) income, and all had some college education. Most stroke survivors were Non-Hispanic White participants (56.3 %) with some college (81.3 %). Median ADI state deciles were 3.0 (interquartile range 1.5-5, range 1-9), and mean national percentiles were 41.7 ± 23.5 with only 6.3 % of participants from the most disadvantaged neighborhoods. For the more disadvantaged half of the state deciles, the majority were Black or Asian participants. No ADI and carepartner factors were statistically related. CONCLUSIONS: The use of ADI data highlighted a recruitment gap in this stroke study, lacking the inclusivity of participants from disadvantaged neighborhoods and with lower education. Using social determinants of health indicators to identify underrepresented neighborhoods may inform recruitment methods to target marginalized populations and broaden the generalizability of clinical trials.

Disparities in transitions of acute stroke care: The transitions of care stroke disparities study methodological report.

OBJECTIVE: The Transitions of Stroke Care Disparities Study (TCSD-S) is an observational study designed to determine race-ethnic and sex disparities in post-hospital discharge transitions of stroke care and stroke outcomes and to develop hospital-level initiatives to reduce these disparities to improve stroke outcomes. MATERIALS AND METHODS: Here, we present the study rationale, describe the methodology, report preliminary outcomes, and discuss a critical need for the development, implementation, and dissemination of interventions for successful post-hospital transition of stroke care. The preliminary outcomes describe the demographic, stroke risk factor, socioeconomic, and acute care characteristics of eligible participants by race-ethnicity and sex. We also report on all-cause and vascular-related death, readmissions, and hospital/emergency room representations at 30- and 90-days after hospital discharge. RESULTS: The preliminary sample included data from 1048 ischemic stroke and intracerebral hemorrhage discharged from 10 comprehensive stroke centers across the state of Florida. The overall sample was 45% female, 22% Non-Hispanic Black and 21% Hispanic participants, with an average age of 64 ± 14 years. All cause death, readmissions, or hospital/emergency room representations are 10% and 19% at 30 and 90 days, respectively. One in 5 outcomes was vascular-related. CONCLUSIONS: This study highlights the transition from stroke hospitalization as an area in need for considerable improvement in systems of care for stroke patients discharged from hospital. Results from our preliminary analysis highlight the importance of investigating race-ethnic and sex differences in post-stroke outcomes.

Incidence of Stroke in the Aboriginal and Non-Aboriginal Populations of Australia: A Data Linkage Study.

BACKGROUND: Most estimates of stroke incidence among Aboriginal and Torres Strait Islander (hereinafter Aboriginal) Australians are confined to single regions and include small sample sizes. We aimed to measure and compare stroke incidence in Aboriginal and non-Aboriginal residents across central and western Australia. METHODS: Whole-population multijurisdictional person-linked data from hospital and death datasets were used to identify stroke admissions and stroke-related deaths (2001-2015) in Western Australia, South Australia, and the Northern Territory. Fatal (including out-of-hospital deaths) and nonfatal incident (first-ever) strokes in patients aged 20-84 years were identified during the 4-year study period (2012-2015), using a 10-year lookback period to exclude people with prior stroke. Incidence rates per 100 000 population/year were estimated for Aboriginal and non-Aboriginal populations, age-standardized to the World Health Organization World Standard population. RESULTS: In a population of 3 223 711 people (3.7% Aboriginal), 11 740 incident (first-ever) strokes (20.6% regional/remote location of residence; 15.6% fatal) were identified from 2012 to 2015, 675 (5.7%) in Aboriginal people (73.6% regional/remote; 17.0% fatal). Median age of Aboriginal cases (54.5 years; 50.1% female) was 16 years younger than non-Aboriginal cases (70.3 years; 44.1% female; P<0.001), with significantly greater prevalence of comorbidities. Age-standardized stroke incidence in Aboriginal people (192/100 000 [95% CI, 177-208]) was 2.9-fold greater than in non-Aboriginal people (66/100 000 [95% CI, 65-68]) aged 20-84 years; fatal incidence was 4.2-fold greater (38/100 000 [95% CI, 31-46] versus 9/100 000 [95% CI, 9-10]). Disparities were particularly apparent at younger ages (20-54 years), where age-standardized stroke incidence was 4.3-fold greater in Aboriginal people (90/100 000 [95% CI, 81-100]) than non-Aboriginal people (21/100 000 [95% CI, 20-22]). CONCLUSIONS: Stroke occurred more commonly, and at younger ages, in Aboriginal than non-Aboriginal populations. Greater prevalence of baseline comorbidities was present in the younger Aboriginal population. Improved primary prevention is required. To optimize stroke prevention, interventions should include culturally appropriate community-based health promotion and integrated support for nonmetropolitan health services.

Scoping Review of Racial, Ethnic, and Sex Disparities in the Diagnosis and Management of Hemorrhagic Stroke.

BACKGROUND AND OBJECTIVES: In the United States, Black, Hispanic, and Asian Americans experience excessively high incidence rates of hemorrhagic stroke compared with White Americans. Women experience higher rates of subarachnoid hemorrhage than men. Previous reviews detailing racial, ethnic, and sex disparities in stroke have focused on ischemic stroke. We performed a scoping review of disparities in the diagnosis and management of hemorrhagic stroke in the United States to identify areas of disparities, research gaps, and evidence to inform efforts aimed at health equity. METHODS: We included studies published after 2010 that assessed racial and ethnic or sex disparities in the diagnosis or management of patients aged 18 years or older in the United States with a primary diagnosis of spontaneous intracerebral hemorrhage or aneurysmal subarachnoid hemorrhage. We did not include studies assessing disparities in incidence, risks, or mortality and functional outcomes of hemorrhagic stroke. RESULTS: After reviewing 6,161 abstracts and 441 full texts, 59 studies met our inclusion criteria. Four themes emerged. First, few data address disparities in acute hemorrhagic stroke. Second, racial and ethnic disparities in blood pressure control after intracerebral hemorrhage exist and likely contribute to disparities in recurrence rates. Third, racial and ethnic differences in end-of-life care exist, but further work is required to understand whether these differences represent true disparities in care. Fourth, very few studies specifically address sex disparities in hemorrhagic stroke care. DISCUSSION: Further efforts are necessary to delineate and correct racial, ethnic, and sex disparities in the diagnosis and management of hemorrhagic stroke.

Stroke Mortality Among Black and White Adults Aged ≥35 Years Before and During the COVID-19 Pandemic - United States, 2015-2021.

Stroke is the fifth leading cause of death and a leading cause of long-term disability in the United States (1). Although stroke death rates have declined since the 1950s, age-adjusted rates remained higher among non-Hispanic Black or African American (Black) adults than among non-Hispanic White (White) adults (1,2). Despite intervention efforts to reduce racial disparities in stroke prevention and treatment through reducing stroke risk factors, increasing awareness of stroke symptoms, and improving access to treatment and care for stroke (1,3), Black adults were 45% more likely than were White adults to die from stroke in 2018.* In 2019, age-adjusted stroke death rates (AASDRs) (stroke deaths per 100,000 population) were 101.6 among Black adults and 69.1 among White adults aged ≥35 years. Stroke deaths increased during the early phase of the COVID-19 pandemic (March-August 2020), and minority populations experienced a disproportionate increase (4). The current study examined disparities in stroke mortality between Black and White adults before and during the COVID-19 pandemic. Analysts used National Vital Statistics System (NVSS) mortality data accessed via CDC WONDER† to calculate AASDRs among Black and White adults aged ≥35 years prepandemic (2015-2019) and during the pandemic (2020-2021). Compared with that during the prepandemic period, the absolute difference in AASDR between Black and White adults during the pandemic was 21.7% higher (31.3 per 100,000 versus 38.0). During the pandemic period, an estimated 3,835 excess stroke deaths occurred among Black adults (9.4% more than expected) and 15,125 among White adults (6.9% more than expected). These findings underscore the importance of identifying the major factors contributing to the widened disparities; implementing prevention efforts, including the management and control of hypertension, high blood cholesterol, and diabetes; and developing tailored interventions to reduce disparities and advance health equity in stroke mortality between Black and White adults. Stroke is a serious medical condition that requires emergency care. Warning signs of a stroke include sudden face drooping, arm weakness, and speech difficulty. Immediate notification of Emergency Medical Services by calling 9-1-1 is critical upon recognition of stroke signs and symptoms.

The Racial Disparity Among the Clinical Outcomes Post Stroke and its Intervention Outcomes: A Systematic Review and Meta-analysis.

The Racial disparity between the clinical outcomes poststroke have not been well studied, with limited literature available. We conducted a meta-analysis to evaluate the poststroke outcomes among the White and Black race of patients. We systematically searched all electronic databases from inception until March 1, 2023. The primary endpoint was post stroke in-hospital mortality, and all-cause mortality. Secondary endpoints were poststroke intervention in-hospital mortality, intracerebral hemorrhage, and all-cause mortality (ACM). A total of 1,250,397 patients were included in the analysis, with 1,018,892 (81.48%) patients of the White race and 231,505 (18.51%) patients in the Black race. The mean age of the patients in each group was (73.55 vs 66.28). The most common comorbidity among White and Black patients was HTN (73.92% vs 81.00%), and DM (29.37% vs 43.36%). The odds of in hospital mortality post stroke (OR, 1.45 [95% CI:1.35-1.55], P <0.001), and all-cause mortality (OR, 1.40 [95% CI:1.28-1.54], P < 0.001) were significantly higher among White patients compared with Black patients. Among patients with post stroke intervention the odds of in-hospital mortality (OR, 1.29 (95% CI: 1.05-1.59, P = 0.02), and intracerebral hemorrhage (ICH) (OR, 1.15, [95% CI:1.06-1.26], P < 0.01) were significantly higher among White patients compared with Black patients post intervention. However, all-cause mortality (OR,1.21 [95% CI: 0.87-1.68, P = 0.25] was comparable between both groups. Our study is the most comprehensive and first meta-analysis with the largest sample size thus far, highlighting that White patients are at increased risk of mortality and post intervention intracerebral hemorrhage compared with Black patients.

All-Cause, Cardiovascular, and Stroke Mortality Among Foreign-Born Versus US-Born Individuals of African Ancestry.

Background Little is known about the effect of region of origin on all-cause mortality, cardiovascular mortality, and stroke mortality among Black individuals. We examined associations between nativity and mortality (all-cause, cardiovascular, and stroke) in Black individuals in the United States. Methods and Results Using the National Health Interview Service 2000 to 2014 data and mortality-linked files through 2015, we identified participants aged 25 to 74 years who self-identified as Black (n=64 717). Using a Cox regression model, we examined the association between nativity and all-cause, cardiovascular, and stroke mortality. We recorded 4329 deaths (205 stroke and 932 cardiovascular deaths). In the model adjusted for age and sex, compared with US-born Black individuals, all-cause (hazard ratio [HR], 0.44 [95% CI, 0.37-0.53]) and cardiovascular mortality (HR, 0.66 [95% CI, 0.44-0.87]) rates were lower among Black individuals born in the Caribbean, South America, and Central America, but stroke mortality rates were similar (HR, 1.01 [95% CI, 0.52-1.94]). African-born Black individuals had lower all-cause mortality (HR, 0.43 [95% CI, 0.27-0.69]) and lower cardiovascular mortality (HR, 0.42 [95% CI, 0.18-0.98]) but comparable stroke mortality (HR, 0.48 [95% CI, 0.11-2.05]). When the model was further adjusted for education, income, smoking, body mass index, hypertension, and diabetes, the difference in mortality between foreign-born Black individuals and US-born Black individuals was no longer significant. Time since migration did not significantly affect mortality outcomes among foreign-born Black individuals. Conclusions In the United States, foreign-born Black individuals had lower all-cause mortality, a difference that was observed in recent and well-established immigrants. Foreign-born Black people had age- and sex-adjusted lower cardiovascular mortality than US-born Black people.

Ethnic differences in stroke outcomes in Aotearoa New Zealand: A national linkage study.

BACKGROUND: Ethnic differences in post-stroke outcomes have been largely attributed to biological and socioeconomic characteristics resulting in differential risk factor profiles and stroke subtypes, but evidence is mixed. AIMS: This study assessed ethnic differences in stroke outcome and service access in New Zealand (NZ) and explored underlying causes in addition to traditional risk factors. METHODS: This national cohort study used routinely collected health and social data to compare post-stroke outcomes between NZ Europeans, Maori, Pacific Peoples, and Asians, adjusting for differences in baseline characteristics, socioeconomic deprivation, and stroke characteristics. First and principal stroke public hospital admissions during November 2017 to October 2018 were included (N = 6879). Post-stroke unfavorable outcome was defined as being dead, changing residence, or becoming unemployed. RESULTS: In total, 5394 NZ Europeans, 762 Maori, 369 Pacific Peoples, and 354 Asians experienced a stroke during the study period. Median age was 65 years for Maori and Pacific Peoples, and 71 and 79 years for Asians and NZ Europeans, respectively. Compared with NZ Europeans, Maori were more likely to have an unfavorable outcome at all three time-points (odds ratio (OR) = 1.6 (95% confidence interval (CI) = 1.3-1.9); 1.4 (1.2-1.7); 1.4 (1.2-1.7), respectively). Maori had increased odds of death at all time-points (1.7 (1.3-2.1); 1.5 (1.2-1.9); 1.7 (1.3-2.1)), change in residence at 3 and 6 months (1.6 (1.3-2.1); 1.3 (1.1-1.7)), and unemployment at 6 and 12 months (1.5 (1.1-2.1); 1.5 (1.1-2.1)). There was evidence of differences in post-stroke secondary prevention medication by ethnicity. CONCLUSION: We found ethnic disparities in care and outcomes following stroke which were independent of traditional risk factors, suggesting they may be attributable to stroke service delivery rather than patient factors.

Predictive Accuracy of Stroke Risk Prediction Models Across Black and White Race, Sex, and Age Groups.

Importance: Stroke is the fifth-highest cause of death in the US and a leading cause of serious long-term disability with particularly high risk in Black individuals. Quality risk prediction algorithms, free of bias, are key for comprehensive prevention strategies. Objective: To compare the performance of stroke-specific algorithms with pooled cohort equations developed for atherosclerotic cardiovascular disease for the prediction of new-onset stroke across different subgroups (race, sex, and age) and to determine the added value of novel machine learning techniques. Design, Setting, and Participants: Retrospective cohort study on combined and harmonized data from Black and White participants of the Framingham Offspring, Atherosclerosis Risk in Communities (ARIC), Multi-Ethnic Study for Atherosclerosis (MESA), and Reasons for Geographical and Racial Differences in Stroke (REGARDS) studies (1983-2019) conducted in the US. The 62 482 participants included at baseline were at least 45 years of age and free of stroke or transient ischemic attack. Exposures: Published stroke-specific algorithms from Framingham and REGARDS (based on self-reported risk factors) as well as pooled cohort equations for atherosclerotic cardiovascular disease plus 2 newly developed machine learning algorithms. Main Outcomes and Measures: Models were designed to estimate the 10-year risk of new-onset stroke (ischemic or hemorrhagic). Discrimination concordance index (C index) and calibration ratios of expected vs observed event rates were assessed at 10 years. Analyses were conducted by race, sex, and age groups. Results: The combined study sample included 62 482 participants (median age, 61 years, 54% women, and 29% Black individuals). Discrimination C indexes were not significantly different for the 2 stroke-specific models (Framingham stroke, 0.72; 95% CI, 0.72-073; REGARDS self-report, 0.73; 95% CI, 0.72-0.74) vs the pooled cohort equations (0.72; 95% CI, 0.71-0.73): differences 0.01 or less (P values >.05) in the combined sample. Significant differences in discrimination were observed by race: the C indexes were 0.76 for all 3 models in White vs 0.69 in Black women (all P values <.001) and between 0.71 and 0.72 in White men and between 0.64 and 0.66 in Black men (all P values ≤.001). When stratified by age, model discrimination was better for younger (<60 years) vs older (≥60 years) adults for both Black and White individuals. The ratios of observed to expected 10-year stroke rates were closest to 1 for the REGARDS self-report model (1.05; 95% CI, 1.00-1.09) and indicated risk overestimation for Framingham stroke (0.86; 95% CI, 0.82-0.89) and pooled cohort equations (0.74; 95% CI, 0.71-0.77). Performance did not significantly improve when novel machine learning algorithms were applied. Conclusions and Relevance: In this analysis of Black and White individuals without stroke or transient ischemic attack among 4 US cohorts, existing stroke-specific risk prediction models and novel machine learning techniques did not significantly improve discriminative accuracy for new-onset stroke compared with the pooled cohort equations, and the REGARDS self-report model had the best calibration. All algorithms exhibited worse discrimination in Black individuals than in White individuals, indicating the need to expand the pool of risk factors and improve modeling techniques to address observed racial disparities and improve model performance.

Lethal Police Encounters and Cardiovascular Health among Black Americans.

This study uses insights from social stress theory to examine associations between exposure to police killings of Black Americans and cardiovascular health among Black women and men. Data on lethal police encounters come from the Mapping Police Violence (MPV) database, which allows for examination of total exposures to police killings of Black people and exposures to events when decedents were unarmed. MPV data are merged with the Behavioral Risk Factor Surveillance System (n = 26,086) and state-level information from multiple federal databases. Four cardiovascular health outcomes are examined-hypertension, diabetes, heart attack, and stroke. After adjusting for important risk factors, results from gender-stratified multilevel logistic regressions reveal a positive association between exposures to police killings of unarmed Black people and odds of hypertension among Black women and stroke among Black men. Total exposures to police killings of Black people are also associated with greater likelihood of stroke for Black men. Findings from this study demonstrate that stress exposures generated by the quantity and injustice of police killings have important implications for cardiovascular health among Black Americans. Furthermore, adverse cardiovascular health associated with exposure to police violence tends to manifest differently for Black men and women.

Racial Differences in Atrial Fibrillation Management Between White Patients and Black Patients in Transthyretin Cardiac Amyloid.

Black patients have higher rates of stroke than White patients. Paradoxically, atrial fibrillation (AF) affects twice as many White patients compared with Black patients. Transthyretin cardiac amyloidosis (ATTR-CA) is associated with both AF and strokes. We hypothesized that although Black patients with ATTR-CA have a lower incidence of AF, when diagnosed with AF, they have increased thromboembolic events. Patients with ATTR-CA (n = 558) at 3 international centers were retrospectively identified. We compared baseline characteristics, presence of AF, outcomes of thromboembolism (stroke, transient ischemic attack, and peripheral embolism), major bleed, and mortality by race. Of all patients, 367 of 488 White patients (75%) were diagnosed with AF compared with 39 of 70 Black patients (56%) (p = 0.001). Black patients with AF had a hazard ratio of 5.78 (95% confidence interval 2.30 to 14.50) for time to first thromboembolic event compared with White patients. There were no racial differences in major bleeding. Black patients with AF more often lacked anticoagulation (p = 0.038) and had higher incidence of labile international normalized ratio (p <0.001). In conclusion, these data suggest that although Black patients with ATTR-CA have lower incidence of AF, they have increased thromboembolic events compared with White patients. These findings may be related to treatment discrepancies, time in therapeutic range for warfarin, and disparities in healthcare.

Hmong Stroke Knowledge Survey.

The Hmong are an ethnic group from Southeast Asia who migrated in large numbers to the United States after the end of the Vietnam War and are now clustered in several parts of the country, including our city. Based on a retrospective review of medical records and on our anecdotal experience, we suspected that there was a gap in stroke knowledge in our Hmong patients. This stroke knowledge survey was intended to uncover any knowledge gaps within the Hmong community before engaging in community awareness activities. Not only did the survey identify a knowledge gap, it also revealed significant linguistic and cultural gaps that we believe are important to share with the reader.