The geography of stroke mortality in the United States and the concept of a stroke belt

Assessing regional disparities and vulnerability in stroke care across Gyeonggi Province: A focus on hospital service areas

BACKGROUND

This study aims to illuminate regional disparities and identify vulnerable areas in stroke care across Gyeonggi Province's hospital service areas.

METHODS

Using data from the Korea National Cardio-cerebrovascular Disease Management Commission, we included 4,427 acute stroke patients admitted in 2018 to hospitals within Gyeonggi Province. Our evaluation focused on: 1) stroke care quality indicators, including rates of defect-free care, intravenous thrombolysis (IVT), endovascular thrombectomy (EVT), and acute reperfusion therapy (either IVT or EVT); 2) intra-regional treatment rates; and 3) one-year mortality across the province and its 12 hospital service areas. These were compared both with national averages and inter-regionally. Vulnerable areas were pinpointed by evaluating the number of quality indicators falling below the national average and through visual distribution mapping, categorizing each indicator into higher (ranks 1-4), middle (ranks 5-8), and lower (ranks 9-12) tiers.

RESULTS

Despite fewer qualified stroke centers and specialists, Gyeonggi Province exhibited higher defect-free care rates (84.6 % vs. 80.7 %), intra-regional treatment rates (57.8 % vs. 51.0 %), and marginally lower one-year mortality (16.2 % vs. 17.3 %) compared to national averages. Notable regional disparities were observed; the highest-performing areas for defect-free care and acute reperfusion therapy exceeded the lowest by 1.4 and 3.3 times, respectively. Nine out of twelve areas fell below the national average for EVT rates, seven for IVT and reperfusion therapy rates, and five for intra-regional treatment rates. Pyeongtaek, with all stroke care quality indicators below the national average coupled with the highest one-year mortality, emerges as a critical area needing improvement in acute stroke care.

CONCLUSION

This study not only exposes the regional disparities in stroke care within Gyeonggi Province's hospital service areas but also identifies areas most vulnerable. Consequently, a customized support strategy for these areas is imperative.

Bed partner perception of CPAP therapy on relationship satisfaction and intimacy-A European perspective from the ESADA network

Obstructive sleep apnea increases morbidity and mortality risks. The most common treatment is continuous positive airway pressure, with nasal mask usage being important, but not always optimal. While most research on treatment adherence focuses on the patient, the bed partner's involvement may be detrimental. Our study aim is to obtain a European-wide picture of the bed partner's attitude and support towards continuous positive airway pressure therapy, including effects on relationship satisfaction and intimacy. The English translation of a German bed partner questionnaire, assessing relationship satisfaction and three major components (general attitude, perceived mask looks, intimacy effects) was distributed within the European Sleep Apnea Database Network and translated in participating countries' local language. Data were collected for 2 years. In total, 10 European countries (13 sleep centres) participated with 1546 questionnaires. Overall, 91% of bed partners had a positive attitude towards continuous positive airway pressure therapy, 86% perceived mask looks not negative, 64% stated no negative intimacy effects. More specifically, 71% mentioned improved sleep quality, 68% supported nightly device usage. For 41% of bed partners, relationship satisfaction increased (no change for 47%). These results were significantly more pronounced in Eastern/Southern Europe compared with Middle Europe, especially regarding intimacy effects. However, increased continuous positive airway pressure therapy length affected attitude negatively. These results provide necessary information to improve treatment strategies by including educational couple-focused approaches. Among others, we revealed that negative intimacy effects are not considered a barrier to continuous positive airway pressure adherence. These results may inspire more research identifying regional gaps with need for treatment adjustments.

Readmission Rates Among Acute Reperfusion Treatment Modalities for Patients With Ischemic Stroke

Background and purpose

Understanding various aspects associated with readmission after acute ischemic stroke (AIS) is an important priority. Our study aims to examine whether 60-day readmission rates differed among patients with AIS who were treated with different acute reperfusion treatment modalities along with associated clinical factors.

Methods

This is a retrospective analysis of a continuous cohort of patient with AIS, who received either intravenous recombinant tissue plasminogen activator (IV rtPA), endovascular treatment (EVT) or both, and were discharged alive. Patients readmitted within 60 days were identified as the readmission group. Multivariable logistic regression was used to identify all-cause readmission post-stroke between treatment groups.

Results

The final cohort comprised of 358 patients with AIS receiving IV rtPA only (N = 160), EVT only (N = 106), or both (N = 92). Fifty-six patients were readmitted to the hospital within 60-day follow-up period. The adjusted logistic regression model indicated that compared to patients who received IV tPA only, patients receiving both IV rtPA and EVT had significantly lower odds (OR = .27; 95% CI = .10, .75)) of getting readmitted within 60-day post-discharge from stroke admission.

Conclusion

In this sample of AIS hospitalizations, treatment-type was positively associated with 60-day readmission. Future studies are necessary to understand whether treatment-related adverse events, and readmission are avoidable.

Patient sentiment regarding stroke: Analysis of 2,992 social media posts

INTRODUCTION

Social media reflects personalized sentiment toward disease and increasingly impacts perceptions of treatment options. This study aims to assess patients experience with and perception of stroke through an analysis of social media posts.

METHODS

A variety of terms ("stroke", "stroke survivor", "stroke rehab", "stroke recovery") were used to search for possible qualified posts on Twitter and Instagram. Twitter posts containing "#stroke" and "@stroke" were identified, yielding 2,506 Twitter posts relating to the patient's own experience. Four hundred sixty-eight public Instagram posts marked under "#stroke" and "@stroke," including direct references to the patient's own experience, were analyzed. First vs. recurrent stroke was identified when possible. The posts were coded for themes relating to patient experience with the disease.

RESULTS

The most common Twitter theme was raising stroke awareness (23.4 %), while spreading positivity was the most common Instagram theme (66.7 %). Most Twitter posts (93.9 %) were from patients experiencing their first stroke, with only 6.1 % of the posts being about recurrent strokes. Women created the majority of Instagram (75.7 %) and Twitter (77.3 %) posts. Men were more likely to discuss mobility/functional outcomes (p = 0.001) and survival/death (p = 0.014), while women were more likely to recount symptoms (p = 0.014), depression (p = 0.002), fear (p<0.001), and mental health (p = 0.006).

CONCLUSION

Stroke patients most often describe their quality of life and discuss raising awareness via social media. Men and women differ in the most commonly shared aspects of their stroke experience. Gauging social media sentiment may guide physicians toward better counseling and psychosocial management of stroke patients.

Geographic variation in clinical outcomes and anticoagulation among medicare beneficiaries with non-valvular atrial fibrillation

Oral anticoagulants (OACs) have been used to prevent stroke/systemic embolism (SE) among patients with non-valvular atrial fibrillation (NVAF). To evaluate baseline clinical characteristics, incidence rates of stroke/SE and hospitalization for bleeding, and OAC use among elderly patients with NVAF in the US by geographic region. Patients with NVAF were selected from the US Centers for Medicare & Medicaid Services claims database (01JAN2013-31DEC2016). Twelve months of health plan enrollment was required before and after the NVAF diagnosis to evaluate baseline characteristics and outcomes, respectively. Each patient was assigned to a 3-digit zip code based on their primary residence, and geographic variation was visualized using ArcGIS Pro software. Over 2.8 million patients with NVAF were identified. Large geographic variation was observed in clinical characteristics, stroke/SE, hospitalization for bleeding, and OAC use among patients across the US. The zip codes with the highest mean CHA2DS2-VASc scores and frequency of prior bleeding also had the highest incidence of stroke/SE and hospitalization for bleeding. Across 3-digit zip codes, 35-63% of patients were untreated. Overall, the incidence of stroke/SE and hospitalization for bleeding were higher and OAC treatment was less frequent in zip codes located in the Southern US. Baseline clinical characteristics, incidence rates of stroke/SE and hospitalization for bleeding, and OAC usage vary considerably by 3-digit zip code in the US. The additional granularity provided in this study may help clinicians to identify small regions with high-risk of stroke/SE and hospitalization for bleeding and low use of OAC that may benefit from targeted care strategies.

Sociodemographic disparities in concomitant left atrial appendage occlusion during cardiac valve operations

BACKGROUND

Sociodemographic disparities in atrial fibrillation (AF) management and thromboembolic prophylaxis have previously been reported, which may involve inequitable access to left atrial appendage occlusion (LAAO) during cardiac surgery. The present study aimed to evaluate the association of LAAO utilization with sex, race, and hospital region among patients with AF undergoing heart valve operations.

METHODS

Adults with AF undergoing valve replacement/repair in the 2012-2019 National Inpatient Sample were identified and stratified based on concurrent LAAO. Multivariable linear and logistic regressions were developed to identify factors associated with LAAO utilization. Mortality, complications including stroke and thromboembolism, hospitalization costs and length of stay (LOS) were secondarily assessed.

RESULTS

Of 382,580 patients undergoing valve operations, 18.7% underwent concomitant LAAO. Over the study period, the proportion of female patients receiving LAAO significantly decreased from 44.8% to 38.9% (p<0.001). Upon risk adjustment, female (AOR 0.93 [95% CI 0.89-0.97]) and Black patients (0.91 [0.83-0.99]) had significantly reduced odds of undergoing LAAO compared to males and Whites, respectively. Additionally, hospitals in the Midwest (1.38 [1.24-1.51]) and West (1.26 [1.15-1.36]) had increased likelihood of LAAO whereas Northeast hospitals (0.85 [0.77-0.94)] had decreased odds relative to the South. Furthermore, LAAO was associated with decreased stroke (0.71 [0.60-0.84]) and thromboembolism (0.68 [0.54-0.86]), $4,200 reduction in costs and 1-day decrement in LOS.

CONCLUSIONS

Female and Black patients had significantly lower odds while Midwest and Western hospitals had greater odds of LAAO utilization. Enhancing access to LAAO during valvular surgery is warranted to improve clinical and financial outcomes for patients with AF.

Associations between mortality from COVID-19 and other causes: A state-level analysis

BACKGROUND

During the COVID-19 pandemic, the high death toll from COVID-19 was accompanied by a rise in mortality from other causes of death. The objective of this study was to identify the relationship between mortality from COVID-19 and changes in mortality from specific causes of death by exploiting spatial variation in these relationships across US states.

METHODS

We use cause-specific mortality data from CDC Wonder and population estimates from the US Census Bureau to examine relationships at the state level between mortality from COVID-19 and changes in mortality from other causes of death. We calculate age-standardized death rates (ASDR) for three age groups, nine underlying causes of death, and all 50 states and the District of Columbia between the first full year of the pandemic (March 2020-February 2021) and the year prior (March 2019-February 2020). We then estimate the relationship between changes in cause-specific ASDR and COVID-19 ASDR using linear regression analysis weighted by the size of the state's population.

RESULTS

We estimate that causes of death other than COVID-19 represent 19.6% of the total mortality burden associated with COVID-19 during the first year of the COVID-19 pandemic. At ages 25+, circulatory disease accounted for 51.3% of this burden while dementia (16.4%), other respiratory diseases (12.4%), influenza/pneumonia (8.7%) and diabetes (8.6%) also contribute. In contrast, there was an inverse association across states between COVID-19 death rates and changes in death rates from cancer. We found no state-level association between COVID-19 mortality and rising mortality from external causes.

CONCLUSIONS

States with unusually high death rates from COVID-19 experienced an even larger mortality burden than implied by those rates alone. Circulatory disease served as the most important route through which COVID-19 mortality affected death rates from other causes of death. Dementia and other respiratory diseases made the second and third largest contributions. In contrast, mortality from neoplasms tended to decline in states with the highest death rates from COVID-19. Such information may help to inform state-level responses aimed at easing the full mortality burden of the COVID-19 pandemic.

Risk factors and geographic disparities in premature cardiovascular mortality in US counties: a machine learning approach

Disparities in premature cardiovascular mortality (PCVM) have been associated with socioeconomic, behavioral, and environmental risk factors. Understanding the "phenotypes", or combinations of characteristics associated with the highest risk of PCVM, and the geographic distributions of these phenotypes is critical to targeting PCVM interventions. This study applied the classification and regression tree (CART) to identify county phenotypes of PCVM and geographic information systems to examine the distributions of identified phenotypes. Random forest analysis was applied to evaluate the relative importance of risk factors associated with PCVM. The CART analysis identified seven county phenotypes of PCVM, where high-risk phenotypes were characterized by having greater percentages of people with lower income, higher physical inactivity, and higher food insecurity. These high-risk phenotypes were mostly concentrated in the Black Belt of the American South and the Appalachian region. The random forest analysis identified additional important risk factors associated with PCVM, including broadband access, smoking, receipt of Supplemental Nutrition Assistance Program benefits, and educational attainment. Our study demonstrates the use of machine learning approaches in characterizing community-level phenotypes of PCVM. Interventions to reduce PCVM should be tailored according to these phenotypes in corresponding geographic areas.

Spatiotemporal Correlation Analysis of Hydraulic Fracturing and Stroke in the United States

Hydraulic fracturing or fracking has led to a rapid growth of oil and gas production in the United States, but the impact of fracking on public health is an important but underresearched topic. We designed a methodology to study spatiotemporal correlations between the risk of fracking and stroke mortality. An annualized loss expectancy (ALE) model is applied to quantify the risk of fracking. The geographically and temporally weighted regression (GTWR) model is used to analyze spatiotemporal correlations of stroke mortality, fracking ALE, and nine other socioeconomic- and health-related factors. The analysis shows that fracking ALE is moderately correlated with stroke mortality at ages over 65 in most states of fracking, in addition to cardiovascular disease and drug overdose being positively correlated with stroke mortality. Furthermore, the correlations between fracking ALE and stroke mortality in men appear to be higher than in women near the Marcellus Shale, including Ohio, Pennsylvania, West Virginia, and Virginia, while stroke mortality among women is concentrated in the Great Plains, including Montana, Wyoming, New Mexico, and Oklahoma. Lastly, within two kilometers of the fracking mining activity, the level of benzene in the air was found to be significantly correlated with the fracking activity in Colorado.

Epidemiology for public health practice: The application of spatial epidemiology

Spatial epidemiology is the description and analysis of geographic patterns and variations in disease risk factors, morbidity and mortality with respect to their distributions associated with demographic, socioeconomic, environmental, health behavior, and genetic risk factors, and time-varying changes. In the Letter to Editor, we had a brief description of the practice for the mortality and the space-time patterns of John Snow's map of cholera epidemic in London, United Kingdom in 1854. This map is one of the earliest public heath practices of developing and applying spatial epidemiology. In the early history, spatial epidemiology was predominantly applied in infectious disease and risk factor studies. However, since the recent decades, noncommunicable diseases have become the leading cause of death in both developing and developed countries, spatial epidemiology has been used in the study of noncommunicable disease. In the Letter, we addressed two examples that applied spatial epidemiology to cluster and identify stroke belt and diabetes belt across the states and counties in the United States. Similar to any other epidemiological study design and analysis approaches, spatial epidemiology has its limitations. We should keep in mind when applying spatial epidemiology in research and in public health practice.

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

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

Association of Medicare-Medicaid Dual Eligibility and Race and Ethnicity With Ischemic Stroke Severity

Importance

Black and Hispanic US residents are disproportionately affected by stroke incidence, and patients with dual eligibility for Medicare and Medicaid may be predisposed to more severe strokes. Little is known about differences in stroke severity for individuals with dual eligibility, Black individuals, and Hispanic individuals, but understanding hospital admission stroke severity is the first important step for focusing strategies to reduce disparities in stroke care and outcomes.

Objective

To examine whether dual eligibility and race and ethnicity are associated with stroke severity in Medicare beneficiaries admitted to acute hospitals with ischemic stroke.

Design, Setting, and Participants

This retrospective cross-sectional study was conducted using Medicare claims data for patients with ischemic stroke admitted to acute hospitals in the United States from October 1, 2016, to November 30, 2017. Data were analyzed from July 2021 and January 2022.

Exposures

Dual enrollment for Medicare and Medicaid; race and ethnicity categorized as White, Black, Hispanic, and other.

Main Outcomes and Measures

Claim-based National Institutes of Health Stroke Scale (NIHSS) categorized into minor (0-7), moderate (8-13), moderate to severe (14-21), and severe (22-42) stroke.

Results

Our sample included 45 459 Medicare fee-for-service patients aged 66 and older (mean [SD] age, 80.2 [8.4]; 25 303 [55.7%] female; 7738 [17.0%] dual eligible; 4107 [9.0%] Black; 1719 [3.8%] Hispanic; 37 715 [83.0%] White). In the fully adjusted models, compared with White patients, Black patients (odds ratio [OR], 1.21; 95% CI, 1.06-1.39) and Hispanic patients (OR, 1.54; 95% CI, 1.29-1.85) were more likely to have a severe stroke. Using White patients without dual eligibility as a reference group, White patients with dual eligibility were more likely to have a severe stroke (OR, 1.75; 95% CI, 1.56-1.95). Similarly, Black patients with dual eligibility (OR, 2.15; 95% CI, 1.78-2.60) and Hispanic patients with dual eligibility (OR, 2.50; 95% CI, 1.98-3.16) were more likely to have a severe stroke.

Conclusions and Relevance

In this cross-sectional study, Medicare fee-for-service patients with ischemic stroke admitted to acute hospitals who were Black or Hispanic had a higher likelihood of worse stroke severity. Additionally, dual eligibility status had a compounding association with stroke severity regardless of race and ethnicity. An urgent effort is needed to decrease disparities in access to preventive and poststroke care for dual eligible and minority patients.

Secondary organic aerosol association with cardiorespiratory disease mortality in the United States

Fine particle pollution, PM2.5, is associated with increased risk of death from cardiorespiratory diseases. A multidecadal shift in the United States (U.S.) PM2.5 composition towards organic aerosol as well as advances in predictive algorithms for secondary organic aerosol (SOA) allows for novel examinations of the role of PM2.5 components on mortality. Here we show SOA is strongly associated with county-level cardiorespiratory death rates in the U.S. independent of the total PM2.5 mass association with the largest associations located in the southeastern U.S. Compared to PM2.5, county-level variability in SOA across the U.S. is associated with 3.5× greater per capita county-level cardiorespiratory mortality. On a per mass basis, SOA is associated with a 6.5× higher rate of mortality than PM2.5, and biogenic and anthropogenic carbon sources both play a role in the overall SOA association with mortality. Our results suggest reducing the health impacts of PM2.5 requires consideration of SOA.

An Examination of History for Promoting Diversity in Neuroscience

Purpose of Review

A review of American history is presented to understand how public policy has contributed to a disproportionate burden of disease in members of underrepresented groups. A review of research conducted in the Stroke Belt provides an opportunity to examine more closely traditional and non-traditional risk factors in an effort to consider strategies for change.

Recent Findings

A diverse physician workforce has been offered as a way of improving care for our increasingly diverse populace. Given the expected increased prevalence of stroke in communities of color and the impact of stress from discrimination on health, proactive strategies to promote inclusion and equity to support diversity in perioperative neuroscience is warranted.

Summary

Public policy rooted in structural racism has left marginalized groups economically and educationally disadvantaged with less access to health care. Mistrust and fear from ongoing discrimination compels the neuroscience community to broaden their approach for developing a more reassuring and supportive educational environment for patients and trainees.

Rural/urban differences in the prevalence of stroke risk factors: A cross-sectional analysis from the REGARDS study

PURPOSE

We previously described the magnitude of rural-urban differences in the prevalence of stroke risk factors and stroke mortality. In this report, we sought to extend the understanding of rural-urban differences in the prevalence of stroke risk factors by using an enhanced definition of rural-urban status and assessing the impact of neighborhood socioeconomic status (nSES) on risk factor differences.

METHODS

This analysis included 28,242 participants without a history of stroke from the REasons for Geographic And Racial Differences in Stroke (REGARDS) cohort. Participants were categorized into the 6-level ordinal National Center for Health Statistics Urban-Rural Classification Scheme. The prevalence of stroke risk factors (hypertension, diabetes, smoking, atrial fibrillation, left ventricular hypertrophy, and heart disease) was assessed across the rural-urban scale with adjustment for demographic characteristics and further adjustment for nSES score.

FINDINGS

Hypertension, diabetes, and heart disease were more prevalent in rural than urban regions. Higher odds were observed for these risk factors in the most rural compared to the most urban areas (odds ratios [95% CI]: 1.25 [1.11-1.42] for hypertension, 1.15 [0.99-1.33] for diabetes, and 1.19 [1.02-1.39] for heart disease). Adjustment for nSES score partially attenuated the odds of hypertension and heart disease with rurality, completely attenuated the odds of diabetes, and unmasked an association of current smoking.

CONCLUSIONS

Some of the higher stroke mortality in rural areas may be due to the higher burden of stroke risk factors in rural areas. Lower nSES contributed most notably to rural-urban differences for diabetes and smoking.

Characterizing the performance of emergency medical transport time metrics in a residentially segregated community

OBJECTIVE

To derive and characterize the performance of various metrics of emergency transport time in assessing for sociodemographic disparities in the setting of residential segregation. Secondarily to characterize racial disparities in emergency transport time of suspected stroke patients in Austin, Texas.

DATA SOURCES

We used a novel dataset of 2518 unique entries with detailed spatial and temporal information on all suspected stroke transports conducted by a public emergency medical service in Central Texas between 2010 and 2018.

STUDY DESIGN

We conducted one-way ANOVA tests with post-hoc pairwise t-tests to assess how mean hospital transport times varied by patient race. We also developed a spatially-independent metric of emergency transport urgency, the ratio of expected duration of self-transport to a hospital and the measured transport time by an ambulance.

DATA COLLECTION/EXTRACTION

We calculated ambulance arrival and destination times using sequential temporospatial coordinates. We excluded any entries in which patient race was not recorded. We also excluded entries in which ambulances' routes did not pass within 100 m of either the patient's location or the documented hospital destination.

PRINCIPAL FINDINGS

We found that mean transport time to a hospital was 2.5 min shorter for black patients compared to white patients. However, white patients' transport times to a hospital were found to be, on average, 4.1 min shorter than expected compared to 3.4 min shorter than expected for black patients. One-way ANOVA testing for the spatially-independent index of emergency transport urgency was not statistically significant, indicating that average transport time did not vary significantly across racial groups when accounting for variations in transport distance.

CONCLUSIONS

Using a novel transport urgency index, we demonstrate that these findings represent race-based variation in spatial distributions rather than racial bias in emergency medical transport. These results highlight the importance of closely examining spatial distributions when utilizing temporospatial data to investigate geographically-dependent research questions.

Geographic Variation in Cardiovascular Health Among American Adults

OBJECTIVE

To evaluate the contemporary geographic trends in cardiovascular health in the United States and its relationship with geographic distribution of cardiovascular mortality.

METHODS

By use of a retrospective cross-sectional design, the 2011-2017 Behavioral Risk Factor Surveillance System (BRFSS) was queried to determine the age-adjusted prevalence of cardiovascular health index (CVHI) metrics (sum of ideal blood pressure, blood glucose concentration, lipid levels, body mass index, smoking, physical activity, and diet). Cardiovascular health was estimated as both continuous (0 to 7 points) and categorical (ideal, intermediate, poor) variables from the BRFSS. Age-adjusted cardiovascular mortality for 2017 was obtained from the Centers for Disease Control and Prevention WONDER database.

RESULTS

Among 1,362,529 American adult participants of the BRFSS 2011-2017 and all American residents in 2017, the CVHI score increased from 3.89±0.004 in 2011 to 3.96±0.005 in 2017 (Ptrend<.001) nationally, with modest improvement across all regions (Ptrend<.05 for all). Ideal cardiovascular health prevalence improved in the northeastern (Ptrend=.03) and southern regions (Ptrend=.002). In 2017, the prevalence of coronary heart disease (6.8%; 95% CI, 6.5% to 7.1%) and stroke (3.7%; 95% CI, 3.4% to 3.9%) was highest in the southern region. The CVHI score (3.81±0.01) and the prevalence of ideal cardiovascular health (12.2%; 95% CI, 11.7% to 12.7%) were lowest in the southern United States. This corresponded to the higher cardiovascular mortality in the southern region (233.0 [95% CI, 232.2- to 33.8] per 100,000 persons).

CONCLUSION

Despite a modest improvement in CVHI, only 1 in 6 Americans has ideal cardiovascular health with significant geographic differences. These differences correlate with the geographic distribution of cardiovascular mortality. An urgent unmet need exists to mitigate the geographic disparities in cardiovascular morbidity and mortality.

Does a physical activity supportive environment ameliorate or exacerbate socioeconomic inequities in incident coronary heart disease?

BACKGROUND

Efforts to reduce socioeconomic inequities in cardiovascular disease include interventions to change the built environment. We aimed to explore whether socioeconomic inequities in coronary heart disease (CHD) incidence are ameliorated or exacerbated in environments supportive of physical activity (PA).

METHODS

We used data from the Reasons for Geographic and Racial Differences in Stroke study, which recruited US residents aged 45 or older between 2003 and 2007. Our analyses included participants at risk for incident CHD (n=20 808), followed until 31 December 2014. We categorised household income and treated it as ordinal: (1) US$75 000+, (2) US$35 000-US$74 000, (3) US$20 000-US$34 000 and (4)

RESULTS

We found a 25% (95% CI 1.17% to 1.34%) increased hazard of CHD per 1-category decrease in household income category. Adjusting for PA-supportive environments slightly reduced this association (HR=1.24). The income-CHD association was strongest in areas without walking destinations (HR=1.57), an interaction which reached statistical significance in analyses among men. In contrast, the income-CHD association showed a trend towards being strongest in areas with the highest percentage of green land cover.

CONCLUSIONS

Indicators of a PA supportive environment show divergent trends to modify socioeconomic inequities in CHD . Built environment interventions should measure the effect on socioeconomic inequities.

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Key Words

• cardiovascular disease
• neighborhood/place
• socio-economic

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MESH Headings Collapse

Grants

• DP5 OD026429 NIH HHS
• R01 AG049970 NIA NIH HHS
• U01 NS041588 NINDS NIH HHS

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Affiliation(s)

Pedro Gullon Public Health and Epidemiology Research Group, Universidad de Alcala de Henares Facultad de Medicina y Ciencias de la Salud, Alcala de Henares, Spain Urban Health Collaborative, Drexel University School of Public Health, Philadelphia, Pennsylvania, USA
Usama Bilal Urban Health Collaborative, Drexel University School of Public Health, Philadelphia, Pennsylvania, USA Epidemiology and Statistics, Drexel University School of Public Health, Philadelphia, Pennsylvania, USA
Jana A Hirsch Urban Health Collaborative, Drexel University School of Public Health, Philadelphia, Pennsylvania, USA Epidemiology and Statistics, Drexel University School of Public Health, Philadelphia, Pennsylvania, USA
Andrew G Rundle Department of Epidemiology, Columbia University Mailman School of Public Health, New York, New York, USA
Suzanne Judd Department of Biostatistics, University of Alabama at Birmingham College of Arts and Sciences, Birmingham, Alabama, USA
Monika M Safford Department of Medicine, Joan and Sanford I Weill Medical College of Cornell University, New York, New York, USA
Gina S Lovasi Urban Health Collaborative, Drexel University School of Public Health, Philadelphia, Pennsylvania, USA Epidemiology and Statistics, Drexel University School of Public Health, Philadelphia, Pennsylvania, USA

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Obstructive sleep apnea in older adults: geographic disparities in PAP treatment and adherence

STUDY OBJECTIVES

Obstructive sleep apnea (OSA) is prevalent among older adults. Although treatment with positive airway pressure (PAP) lowers subsequent morbidity, PAP adherence is inconsistent. Socioeconomic disparities have been observed in OSA treatment, but regional differences in OSA care are unknown. This study examined geographic variations in PAP treatment and adherence among older Americans.

METHODS

This study utilized a representative 5% sample of all Medicare fee-for-service beneficiaries aged 65+ years. An OSA diagnosis, treatment, and PAP adherence were confirmed with International Classification of Diseases, Ninth Revision, HCPCS (Health Care Common Procedure Coding System) codes, and ≥2 HCPCS claims for PAP supplies respectively. Descriptive statistics were used to examine proportions of Medicare beneficiaries who obtained and adhered to PAP. Maps described the proportion of treated and adherent beneficiaries by state and hospital referral region.

RESULTS

For state-level data, PAP treatment and adherence proportions among beneficiaries with an OSA diagnosis ranged between 54-87% and 59-81%, respectively. Proportions of treated patients were higher in Midwest states (>80%), in comparison to Northwest, Northeast, and Southern states (<73%). Southern states and California had lowest proportions of PAP adherence (<70%). Within-state variability in treatment patterns were apparent along the East and West coasts. Correlations of PAP treatment and adherence proportions were low in Washington, DC, New York, and New Jersey. Discordant treatment and adherence proportions were observed in Alabama and Mississippi.

CONCLUSIONS

Significant state-level and regional disparities of PAP treatment and adherence among Medicare beneficiaries with OSA suggest gaps in delivery of OSA care for older Americans.

Association and pathways of birth in the stroke belt on old age dementia and stroke Mortality

This paper uses data from the Diet and Health Study (DHS) to examine associations between being born in a "stroke belt" state and old age stroke and mortality outcomes. Adding to prior work that used administrative data, our paper explores educational and health mechanisms that are both stratified by geography and by mortality outcomes. Using logistic regression, we first replicate earlier findings of elevation in risk of dementia mortality (OR 1.13, CI [1.07, 1.20]) and stroke mortality (OR 1.17, CI [1.07, 1.29]) for white individuals born in a stroke belt state. These associations are largely unaffected by controls for educational attainment or by experiences with surviving a stroke and are somewhat attenuated by controls for self-rated health status in old age. The results suggest a need to consider additional life course mechanisms in order to understand the persistent effects of place of birth on old age mortality patterns.

Geographic Inequalities in Cardiovascular Mortality in the United States: 1999 to 2018

OBJECTIVE

To evaluate the trends in cardiovascular, ischemic heart disease (IHD), stroke, and heart failure mortality in the stroke belt in comparison with the rest of the United States.

PATIENTS AND METHODS

We evaluated the nationwide mortality data of all Americans from the Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research database from 1999 to 2018. Cause-specific deaths were identified in the stroke belt and nonstroke belt populations using International Statistical Classification of Diseases and Related Health Problems, Tenth Revision codes. The relative percentage gap was estimated as the absolute difference computed relative to nonstroke belt mortality. Piecewise linear regression and age-period-cohort modeling were used to assess, respectively, the trends and to forecast mortality across the 2 regions.

RESULTS

The cardiovascular mortality rate (per 100,000 persons) was 288.3 (95% CI, 288.0 to 288.6; 3,684,273 deaths) in the stroke belt region and 251.2 (95% CI, 251.0 to 251.3; 13,296,164 deaths) in the nonstroke belt region. In the stroke belt region, age-adjusted mortality rates due to all cardiovascular causes (average annual percentage change [AAPC] in mortality rates, -2.4; 95% CI, -2.8 to -2.0), IHD (AAPC, -3.8; 95% CI, -4.2 to -3.5), and stroke (AAPC, -2.8; 95% CI, -3.4 to -2.1) declined from 1999 to 2018. A similar decline in cardiovascular (AAPC, -2.5; 95% CI, -3.0 to -2.0), IHD (AAPC, -4.0; 95% CI, -4.3 to -3.7), and stroke (AAPC, -2.9; 95% CI, -3.2 to -2.2) mortality was seen in the nonstroke belt region. There was no overall change in heart failure mortality in both regions (P_AAPC>.05). The cardiovascular mortality gap was 11.8% in 1999 and 15.9% in 2018, with a modest reduction in absolute mortality rate difference (~7 deaths per 100,000 persons). These patterns were consistent across subgroups of age, sex, race, and urbanization status. An estimated 101,953 additional cardiovascular deaths need to be prevented from 2020 to 2025 in the stroke belt to ameliorate the gap between the 2 regions.

CONCLUSION

Despite the overall decline, substantial geographic disparities in cardiovascular mortality persist. Novel approaches are needed to attenuate the long-standing geographic inequalities in cardiovascular mortality in the United States, which are projected to increase.

Progress Toward Achieving National Targets for Reducing Coronary Heart Disease and Stroke Mortality: A County-Level Perspective

Background

The American Heart Association and Healthy People 2020 established objectives to reduce coronary heart disease (CHD) and stroke death rates by 20% by the year 2020, with 2007 as the baseline year. We examined county‐level achievement of the targeted reduction in CHD and stroke death rates from 2007 to 2017.

Methods and Results

Applying a hierarchical Bayesian model to National Vital Statistics data, we estimated annual age‐standardized county‐level death rates and the corresponding percentage change during 2007 to 2017 for those aged 35 to 64 and ≥65 years and by urban‐rural classification. For those aged ≥35 years, 56.1% (95% credible interval [CI], 54.1%–57.7%) and 39.8% (95% CI, 36.9%–42.7%) of counties achieved a 20% reduction in CHD and stroke death rates, respectively. For both CHD and stroke, the proportions of counties achieving a 20% reduction were lower for those aged 35 to 64 years than for those aged ≥65 years (CHD: 32.2% [95% CI, 29.4%–35.6%] and 64.1% [95% CI, 62.3%–65.7%]), respectively; stroke: 17.9% [95% CI, 13.9%–22.2%] and 45.6% [95% CI, 42.8%–48.3%]). Counties achieving a 20% reduction in death rates were more commonly urban counties (except stroke death rates for those aged ≥65 years).

Conclusions

Our analysis found substantial, but uneven, achievement of the targeted 20% reduction in CHD and stroke death rates, defined by the American Heart Association and Healthy People. The large proportion of counties not achieving the targeted reduction suggests a renewed focus on CHD and stroke prevention and treatment, especially among younger adults living outside of urban centers. These county‐level patterns provide a foundation for robust responses by clinicians, public health professionals, and communities.

Analysis of COVID-19 Cases' Spatial Dependence in US Counties Reveals Health Inequalities

On March 13, 2020, the World Health Organization (WHO) declared the 2019 coronavirus disease (COVID-19) caused by the novel coronavirus SARS-CoV2 a pandemic. Since then the virus has infected over 9.1 million individuals and resulted in over 470,000 deaths worldwide (as of June 24, 2020). Here, we discuss the spatial correlation between county population health rankings and the incidence of COVID-19 cases and COVID-19 related deaths in the United States. We analyzed the spread of the disease based on multiple variables at the county level, using publicly available data on the numbers of confirmed cases and deaths, intensive care unit beds and socio-demographic, and healthcare resources in the U.S. Our results indicate substantial geographical variations in the distribution of COVID-19 cases and deaths across the US counties. There was significant positive global spatial correlation between the percentage of Black Americans and cases of COVID-19 (Moran I = 0.174 and 0.264, p < 0.0001). A similar result was found for the global spatial correlation between the percentage of Black American and deaths due to COVID-19 at the county level in the U.S. (Moran I = 0.264, p < 0.0001). There was no significant spatial correlation between the Hispanic population and COVID-19 cases and deaths; however, a higher percentage of non-Hispanic white was significantly negatively spatially correlated with cases (Moran I = -0.203, p < 0.0001) and deaths (Moran I = -0.137, p < 0.0001) from the disease. This study showed significant but weak spatial autocorrelation between the number of intensive care unit beds and COVID-19 cases (Moran I = 0.08, p < 0.0001) and deaths (Moran I = 0.15, p < 0.0001), respectively. These findings provide more detail into the interplay between the infectious disease and healthcare-related characteristics of the population. Only by understanding these relationships will it be possible to mitigate the rate of spread and severity of the disease.

Forty-Year Shifting Distribution of Systolic Blood Pressure With Population Hypertension Treatment and Control

BACKGROUND

Hypertension awareness, treatment, and control programs were initiated in the United States during the 1960s and 1970s. Whereas blood pressure (BP) control in the population and subsequent reduced hypertension-related disease risks have improved since the implementation of these interventions, it is unclear whether these BP changes can be generalized to diverse and high-risk populations. This report describes the 4-decade change in BP levels for the population in a high disease risk southeastern region of the United States. The objective is to determine the magnitude of the shift in systolic BP (SBP) among Blacks and Whites from the Southeast between 1960 and 2005 with the assessment of the unique population cohorts.

METHODS

A multicohort study design compared BPs from the CHS (Charleston Heart Study) and ECHS (Evans County Heart Study) in 1960 and the REGARDS study (Reasons for Geographic and Racial Differences in Stroke) 4 decades later. The analyses included participants ≥45 years of age from CHS (n=1323), ECHS (n=1842), and REGARDS (n=6294) with the main outcome of SBP distribution.

RESULTS

Among Whites 45 to 54 years of age, the median SBP was 18 mm Hg (95% CI, 16-21 mm Hg) lower in 2005 than 1960. The median shift was a 45 mm Hg (95% CI, 37-51 mm Hg) decline for those ≥75 years of age. The shift was larger for Blacks, with median declines of 38 mm Hg (95% CI, 32-40 mm Hg) at 45 to 54 years of age and 50 mm Hg (95% CI, 33-60 mm Hg) for ages ≥75 years. The 95th percentile of SBP decreased 60 mm Hg for Whites and 70 mm Hg for Blacks.

CONCLUSIONS

The results of the current analyses of the unique cohorts in the Southeast confirm the improvements in population SBP levels since 1960. This assessment provides new evidence of improvement in SBP, suggesting that strategies and programs implemented to improve hypertension treatment and control have been extraordinarily successful for both Blacks and Whites residing in a high-risk region of the United States. Severe BP elevations commonly observed in the 1960s have been nearly eliminated, with the current 75th percentile of BP generally less than the 25th percentile of BP in 1960.

A Bayesian spatio-temporal analysis of neighborhood pediatric asthma emergency department visit disparities

Asthma disparities have complex, neighborhood-level drivers that are not well understood. Consequently, identifying particular contextual factors that contribute to disparities is a public health goal. We study pediatric asthma emergency department (ED) visit disparities and neighborhood factors associated with them in South Carolina (SC) census tracts from 1999 to 2015. Leveraging a Bayesian framework, we identify risk clusters, spatially-varying relationships, and risk percentile-specific associations. Clusters of high risk occur in both rural and urban census tracts with high probability, with neighborhood-specific associations suggesting unique risk factors for each locale. Bayesian methods can help clarify the neighborhood drivers of health disparities.

Geographic Variations of Stroke Incidence in Chinese Communities: An 18-Year Prospective Cohort Study from 1997 to 2015

Background and Purpose

As a leading cause of disability and death in China, stroke as well as its epidemiologic features have gained increasing attention. Prior studies, however, have overgeneralized the north-to-south gradient in China. Whether the differences exist across urban and rural areas remains unexplored. This study therefore aims to investigate the north-to-south gradient in stroke incidence across urban and rural China.

Methods

The present prospective cohort study analyzed data from the China Health and Nutrition Survey 1997 to 2015. By including 16,917 individuals from diverse social contexts, we calculated the age-standardized incidence of stroke across regions and the age-adjusted risk ratio (aRR). Cox proportional hazards models with time-varying covariates were employed to analyze variations in incident stroke.

Results

During the follow-up, age-standardized incidence of stroke ranged from 4.17 per 1,000 person-years (95% confidence interval [CI], 3.38 to 4.96) in the north region to 1.95 (95% CI, 1.60 to 2.30) in the south region (aRR, 2.04; 95% CI, 1.58 to 2.64; P<0.001). The north-to-south gradient of stroke incidence was observed only in rural areas, but not in urban areas. Hierarchical modelling analyses further indicated that the regional differences could be mostly explained by the disparities in the prevalence of hypertension.

Conclusions

The present study extends the current evidence on the north-to-south gradient by demonstrating that the difference varied across urban and rural China. Our findings highlight the importance of hypertension management as the measure for alleviating regional differences in stroke incidence.

Exploring the Spatial Patterning in Racial Differences in Cardiovascular Health Between Blacks and Whites Across the United States: The REGARDS Study

Background

Cardiovascular health (CVH) disparities between blacks and whites have persisted in the United States for some time, and although there have been remarkable improvements in addressing cardiovascular disease, it still remains the leading cause of death in the United States. In addition, well‐documented disparities are unfortunately widening incidence gaps across certain regions of the United States. Our focus was on answering the following questions: (1) How much spatial heterogeneity exists in the racial differences in CVH between blacks and whites across this country? and (2) Is the spatial heterogeneity in the racial differences significantly explained by living in the Stroke Belt?

Methods and Results

To explore the spatial patterning in the racial differences in CVH between blacks and whites across the country, we used geographically weighted regression methods, which result in local estimates of the racial differences in CVH. Using data from the REGARDS (Reasons for Geographic and Racial Differences in Stroke) Study, we found significant spatial patterning in these racial differences, even beyond the well‐known Stroke Belt and Stroke Buckle. All of the estimated differences indicated blacks consistently having diminishing CVH compared with whites, where this difference was largely noted in pockets of the Stroke Belt and Stroke Buckle, in addition to moderate to large disparities noted in the Great Lakes region, portions of the Northeast, and along the West coast.

Conclusions

Efforts to improve CVH and ultimately reduce disparities between blacks and whites require culturally competent methods, with a strong focus on geography‐based interventions and policies.

The Association Between Stroke Mortality and Time of Admission and Participation in a Telestroke Network

OBJECTIVES

Acute ischemic stroke is one of the leading causes of death. Patient outcomes, such as in-patient mortality, may be impacted by the time of arrival to the hospital. Telestroke networks have been found to be effective and safe at treating acute ischemic strokes. This paper investigated the association between mortality and time of arrival and hospital's participation in a telestroke network.

METHODS

Data were collected on ischemic stroke patients who arrived at 15 nonteaching hospitals in Georgia's Paul Coverdell Acute stroke registry from 2009 to 2016. After controlling for patient and hospital characteristics, multivariate logistic regression was conducted to assess whether time of arrival and telestroke participation was associated with in-hospital mortality. Subgroup analysis was conducted based on hospital bed size.

RESULTS

Overall, a total of 19,759 admissions for acute ischemic stroke were included in this analysis. The odds of dying in the hospital when arriving during the nighttime are 1.22 times the odds of dying when arriving during the day (95% CI: 1.04-1.45) and the odds of dying at a telestroke hospital are 53% lower than at a nontelestroke hospital (OR .47, 95% CI .31-.71). The associations were more prominent in large hospitals.

CONCLUSIONS

Our study found that the hour of arrival for acute ischemic stroke is linked with in-hospital mortality in large hospitals, with patients more likely to die if they arrive during the nighttime hours as compared to the daytime hours. Telestroke participation is linked with lower odds of hospital mortality in all hospitals.

Stagnating National Declines in Stroke Mortality Mask Widespread County-Level Increases, 2010-2016

Background and Purpose- Recent national and state-level trends show a stalling or reversal of previously declining stroke death rates. These national trends may mask local geographic variation and changes in stroke mortality. We assessed county-level trends in stroke mortality among adults aged 35 to 64 and ≥65 years. Methods- We used data from National Vital Statistics Systems and a Bayesian multivariate space-time conditional autoregressive model to estimate age-standardized annual stroke death rates for 2010 through 2016 among middle-aged adults (35-64 years) and older adults (≥65 years) in US counties. We used log-linear regression models to estimate average annual and total percent change in stroke mortality during the period. Results- Nationally, the annual percent change in stroke mortality from 2010 to 2016 was -0.7% (95% CI, -4.2% to 3.0%) among middle-aged adults and -3.5% (95% CI, -10.7% to 4.3%) among older adults, resulting in 2016 rates of 15.0 per 100 000 and 259.8 per 100 000, respectively. Increasing county-level stroke mortality was more prevalent among middle-aged adults (56.6% of counties) compared with among older adults (26.1% of counties). About half (48.3%) of middle-aged adults, representing 60.2 million individuals, lived in counties in which stroke mortality increased. Conclusions- County-level increases in stroke mortality clarify previously reported national and state-level trends, particularly among middle-aged adults. Roughly 3×as many counties experienced increases in stroke death rates for middle-aged adults compared with older adults. This highlights a need to address stroke prevention and treatment for middle-aged adults while continuing efforts to reduce stroke mortality among the more highly burdened older adults. Efforts to reverse these troubling local trends will likely require joint public health and clinical efforts to develop innovative and integrated approaches for stroke prevention and care, with a focus on community-level characteristics that support stroke-free living for all.

Geographic disparity in systemic sclerosis mortality in the United States: 1999–2017

Introduction:

Previous studies reported a progressive decrease in the systemic sclerosis mortality rates in the United States from 1959 to 2002. Identification of areas with clusters of higher mortality rates is important to implement targeted interventions. In this study, we aimed to estimate the mortality rates of scleroderma and to analyze its geographic variability at the state level in the United States.

Methods:

Mortality rates of scleroderma from 1999 to 2017 were obtained from the CDC Wonder Underlying Cause of Death database and its query system, using International Classification of Diseases, Tenth Revision codes. Age-adjusted rates were calculated by state and demographics. A linear regression model was applied to evaluate trends over time.

Results:

Over the period studied, a total of 24,525 deaths had scleroderma as the underlying cause of death. The age-adjusted mortality rate was 3.962 per million (95% CI: 3.912–4.012), decreasing progressively from 4.679 (95%CI: 4.423–4.934) in 1999 to 2.993 (95% CI: 2.817–3.170) per million in 2017. The age-adjusted mortality rate was 5.885 (95% CI: 5.802–5.967) and 1.651 (95% CI: 1.604–1.698) per million in females and males, respectively. Per races, the highest age-adjusted mortality rate was in Blacks or African Americans, at 5.703 per million (95% CI: 5.521–5.885), followed by American Indians or Alaska Native at 5.047 per million (95% CI: 4.428–5.667). Clusters of states with higher and lower mortality rates were identified. South Dakota had the highest whereas Hawaii had the lowest mortality rate.

Conclusion:

We found a trend to a progressive decrease in mortality rates of scleroderma during the years of our study. In addition, we found relevant state-by-state variation in mortality with several geographical clusters with higher mortality rates. Further analyses are warranted in order to better understand the factors associated with the observed geographic disparities.

The association of age at menopause and all-cause and cause-specific mortality by race, postmenopausal hormone use, and smoking status

While a mean age at menopause of 51 years has been reported in the United States (U.S.), some U.S. women experience menopause before age 45, possibly increasing risk of cardiovascular mortality; however, the role in all-cause and cerebrovascular-related mortality is unclear. The purpose of this study was to investigate the association between age at menopause and all-cause and cause-specific mortality by race, hormone replacement therapy (HRT) use, and smoking status. REasons for Geographic and Racial Differences in Stroke (REGARDS) is a population-based study of 30,239 participants aged ≥45 years enrolled between 2003 and 2007 of whom 14,361 were postmenopausal women. Age at menopause was defined as <45 (early) or ≥45. All-cause and cause-specific mortality were ascertained through 2013. Cox proportional hazards models estimated hazard ratios (HR) and 95% confidence intervals (CI) for the association between age at menopause and mortality, adjusting for baseline measures. Of 11,287 eligible women (6403 white; 4884 black), mean menopause age was 45.2 (SD 7.9) with 1524 deaths over 7.1 years. Significant interactions were detected between early age at menopause (39%) and HRT use in association with all-cause mortality (p < 0.01), mortality from coronary heart disease (p = 0.06), and mortality from all other causes (p = 0.04). An association between early age at menopause and all-cause mortality was observed among ever-HRT users (HR = 1.31, 95% CI: 1.10–1.56), but not never-HRT users (HR = 1.01, 95% CI: 0.85–1.20). There were no differences in associations examined by race or smoking status. Increased all-cause mortality risk was observed for ever-HRT users with menopause before age 45.

•

Increased all-cause mortality risk in ever-HRT users with menopause before age 45

•

HRT use modified the association of menopause before age 45 and CHD mortality.

•

There were no differences in associations examined by race or smoking status.

Determinants of cigarette smoking status in a national cohort of black and white adult ever smokers in the USA: a cross-sectional analysis of the REGARDS study

OBJECTIVES

While awareness of cigarette smoking's harmful effects has increased, determinants associated with smoking status remain understudied, including potential racial differences. We aim to examine factors associated with former versus current smoking status and assess whether these associations differed by race.

SETTING

We performed a cross-sectional analysis using the population-based Reasons for Geographic and Racial Differences in Stroke(REGARDS)study.

OUTCOME MEASURES

Logistic regression was used to calculate the OR of former smoking status compared with current smoking status with risk factors of interest. Race interactions were tested using multiplicative interaction terms.

RESULTS

16 463 participants reported smoking at least 100 cigarettes in their lifetime. Seventy-three per cent (n=12 067) self-reported former-smoker status. Physical activity (reference (REF) <3×/week; >3×/week: OR=1.26, 95% CI 1.11 to 1.43), adherence to Mediterranean diet (REF: low; medium: OR=1.46, 95% CI 1.27 to 1.67; high: OR=2.20, 95% CI 1.84 to 2.64), daily television viewing time (REF: >4 hours; <1 hour: OR=1.32, 95% CI 1.10 to 1.60) and abstinence from alcohol use (REF: heavy; none: OR=1.50, 95% CI 1.18 to 1.91) were associated with former-smoker status. Male sex, higher education and income $35 000-$74 000 (REF: <$20 000) were also associated with former-smoker status. Factors associated with lower odds of reporting former-smoker status were younger age (REF: ≥65 years; 45-64 years: OR=0.34, 95% CI 0.29 to 0.39), black race (OR=0.62, 95% CI 0.53 to 0.72) and single marital status (REF: married status; OR=0.66, 95% CI 0.51 to 0.87), being divorced (OR=0.60, 95% CI 0.50 to 0.72) or widowed (OR=0.70, 95% CI 0.57 to 0.85). Significant interactions were observed between race and alcohol use and dyslipidaemia, such that black participants had higher odds of reporting former-smoker status if they were abstinent from alcohol (OR=2.32, 95% CI 1.47 to 3.68) or had a history of dyslipidaemia (OR=1.31, 95% CI 1.06 to 1.62), whereas these relationships were not statistically significant in white participants.

CONCLUSION

Efforts to promote tobacco cessation should consist of targeted behavioural interventions that incorporate racial differences.

Tales from the Trips: A Qualitative Study of Timely Recognition, Treatment, and Transfer of Emergency Department Patients with Acute Ischemic Stroke

BACKGROUND AND OBJECTIVES

Acute Ischemic stroke (AIS) is a time-sensitive emergency and patients frequently present to, and are transferred from emergency departments (EDs). We sought to evaluate potential factors, particularly organizational, that may influence the timeliness of interfacility transfer for ED patients with AIS.

METHODS

We conducted semistructured interviews at 3 EDs that routinely transfer AIS patients. A structured interview guide was developed and piloted prior to use. Staff were asked about perceived facilitators and barriers to timely and high quality emergency care for patients with AIS who require transfer. Each interview was audio recorded, transcribed, coded, and analyzed using an iterative inductive-deductive approach to build a list of themes and subthemes, and identify supporting quotes.

RESULTS

We interviewed 45 ED staff (administrative staff, nurses, and physicians) involved in acute stroke care. We identified 4 major themes influencing the execution of interfacility transfers of AIS patients: (1) processes, (2) historical experiences; (3) communication; and (4) resources. Pre-existing protocols that standardized processes (eg, autoacceptance protocols) and reduced unnecessary communication, combined with direct communication with the neurology team at the comprehensive stroke center, and the flexibility and availability of human and physical resources (eg, staff and equipment) were commonly cited as facilitators. Lack of communication of clinical and operational outcomes back to transferring ED staff was viewed as a lost opportunity for process improvement, interorganization relationship building, and professional satisfaction.

CONCLUSIONS

ED staff view the interfacility transfer of AIS patients as highly complex with multiple opportunities for delay. Coordination through the use of protocols and communication pre- and post-transfer represented opportunities to facilitate transfers. Staff and clinicians at transferring facilities identified multiple opportunities to enhance existing processes and ongoing communication quality among facilities involved in the acute management of patients with AIS.

Geographic Disparities in the Incidence of Stroke among Patients with Atrial Fibrillation in the United States

AIM

To determine whether regional variation in stroke incidence exists among individuals with AF.

METHODS

Using healthcare utilization claims from 2 large US databases, MarketScan (2007-2014) and Optum Clinformatics (2009-2015), and the 2010 US population as the standard, we estimated age-, sex-, race- (only in Optum) standardized stroke incidence rates by the 9 US census divisions. We also used Poisson regression to examine incidence rate ratios (IRR) of stroke and the probability of anticoagulation prescription fills across divisions.

RESULTS

Both databases combined included 970,683 patients with AF who experienced 15,543 strokes, with a mean follow-up of 23 months. In MarketScan, the age- and sex-standardized stroke incidence rate was highest in the Middle Atlantic and East South Central divisions at 3.8/1000 person-years (PY) and lowest in the West North Central at 3.2/1000 PY. The IRR of stroke and the probability of anticoagulation fills were similar across divisions. In Optum Clinformatics, the age-, sex-, and race-standardized stroke incidence rate was highest in the East North Central division at 5.0/1000 PY and lowest in the New England division at 3.3/1000 PY. IRR of stroke and the probability of anticoagulation fills differed across divisions when compared to New England.

CONCLUSIONS

These findings suggest regional differences in stroke incidence among AF patients follow a pattern that differs from the hypothesized trend found in the general population and that other factors may be responsible for this new pattern. Cross-database differences provide a cautionary tale for the identification of regional variation using health claims data.

Community characteristics and regional variations in sepsis

Background

Sepsis may contribute to more than 200 000 annual deaths in the USA. Little is known about the regional patterns of sepsis mortality and the community characteristics that explain this relationship. We aimed to determine the influence of community characteristics upon regional variations in sepsis incidence and case fatality.

Methods

We performed a retrospective analysis of data from the REasons for Geographic and Racial Differences in Stroke (REGARDS) cohort. Using US sepsis mortality data, we used two strategies for defining geographic regions: (i) Sepsis 'Belt' vs Non-Belt and (ii) Sepsis 'Cluster' vs Non-Cluster. We determined sepsis incidence and case fatality among REGARDS participants in each region, adjusting for participant characteristics. We examined the mediating effect of community characteristics upon regional variations in sepsis incidence and case fatality.

Results

Among 29 680 participants, 16 493 (55.6%) resided in the Sepsis Belt and 2958 (10.0%) resided in a Sepsis Cluster. Sepsis incidence was higher for Sepsis Belt than Non-Belt participants [adjusted hazard ratio (HR) = 1.14; 95% confidence interval (CI) = 1.02-1.24] and higher for Sepsis Cluster than Non-Cluster participants (adjusted HR = 1.18; 95% CI = 1.01-1.39). Sepsis case fatality was similar between Sepsis Belt and Non-Belt participants, as well as between Cluster and Non-Cluster participants. Community poverty mediated the regional differences in sepsis incidence.

Conclusions

Regional variations in sepsis incidence may be partly explained by community poverty. Other community characteristics do not explain regional variations in sepsis incidence or case fatality.

Circulating Troponin I Level in Patients with Acute Ischemic Stroke

PURPOSE OF REVIEW

Cardiac troponin levels in the blood are an important biomarker of acute coronary events, but may also be elevated in the context of acute ischemic stroke without an obvious concurrent myocardial insult. The objective of this study and systematic review is to determine how high the circulating troponin I level can rise due to ischemic stroke.

RECENT FINDINGS

Anonymized medical records from Vanderbilt University Medical Center were reviewed identifying 151,972 unique acute ischemic stroke events, of which 1226 met criteria for inclusion in this study. Included patients had at least one measurement of troponin I level documented during the hospital visit when an acute ischemic stroke was diagnosed and were free of known cardiac/coronary disease, renal impairment, sepsis, or other confounders. In this group, 20.6% had a circulating troponin I level elevated over the reference range, but 99% were below 2.13 ng/mL. This is significantly lower than the distribution observed in a cohort of 89,423 unique cases of acute coronary syndrome (p < 2.2^-16). A systematic review of published literature further supported the conclusion that troponin I level may increase due to an acute ischemic stroke, but rarely rises above 2 ng/mL. Because of the shared risk factors between stroke and coronary artery disease, clinicians caring for patients with acute ischemic stroke should always have a high index of suspicion for comorbid cardiac and cardiovascular disease. In general, troponin I levels greater than 2 ng/mL should not be attributed to an acute ischemic stroke, but should prompt a thorough evaluation for coronary artery disease.

Alcohol Consumption and Incident Stroke Among Older Adults

Objectives

This study examines the relationship between alcohol consumption and incident stroke among older adults and tests whether alcohol consumption contributes to observed race and sex differences in stroke.

Method

Data are from a U.S. national cohort of black and white adults aged 45 and older, the REasons for Geographic And Racial Differences in Stroke (REGARDS) study. Current and past drinking levels were reported at baseline (2003-2007). Participants who had never had a stroke were followed for adjudicated stroke events through September 2015 (n = 27,265). We calculated Cox proportional hazard models for stroke, adjusting for demographic, socioeconomic, behavioral, and health characteristics.

Results

Participants, mean age 64.7 years, consumed on average 2.2 drinks/week and experienced 1,140 first-time stroke events over median 9.1 years follow-up. Nondrinkers had a 12% higher risk of stroke than current drinkers; the risk of stroke among nondrinkers largely reflected high risks among past drinkers; these differences were explained by socioeconomic characteristics. Among current drinkers, light drinkers had significantly lower stroke risks than moderate drinkers after accounting for demographic, socioeconomic, behavioral, and health characteristics. Implications of alcohol did not differ between blacks and whites but did differ by sex: Especially among women, nondrinkers, and specifically past drinkers, had higher risks; these differences were largely explained by health characteristics and behaviors. Alcohol did not explain race and sex differences in stroke incidence.

Discussion

Among older adults, those who used to, but no longer, drink had higher risks of stroke, especially among women; current light drinkers had the lowest risk of stroke.

Arsenic Exposure in Relation to Ischemic Stroke: The Reasons for Geographic and Racial Differences in Stroke Study

BACKGROUND AND PURPOSE

The purpose of this case-cohort study was to examine urinary arsenic levels in relation to incident ischemic stroke in the United States.

METHODS

We performed a case-cohort study nested within the REGARDS (REasons for Geographic and Racial Differences in Stroke) cohort. A subcohort (n=2486) of controls was randomly sampled within region-race-sex strata while all incident ischemic stroke cases from the full REGARDS cohort (n=671) were included. Baseline urinary arsenic was measured by inductively coupled plasma-mass spectrometry. Arsenic species, including urinary inorganic arsenic and its metabolites monomethylarsonic acid and dimethylarsinic acid, were measured in a random subset (n=199). Weighted Cox's proportional hazards models were used to calculate hazard ratios and 95% confidence intervals of ischemic stroke by arsenic and its species.

RESULTS

The average follow-up was 6.7 years. Although incident ischemic stroke showed no association with total arsenic or total inorganic arsenic, for each unit higher level of urinary monomethylarsonic acid on a log-scale, after adjustment for potential confounders, ischemic stroke risk increased ≈2-fold (hazard ratio=1.98; 95% confidence interval: 1.12-3.50). Effect modification by age, race, sex, or geographic region was not evident.

CONCLUSIONS

A metabolite of arsenic was positively associated with incident ischemic stroke in this case-cohort study of the US general population, a low-to-moderate exposure area. Overall, these findings suggest a potential role for arsenic methylation in the pathogenesis of stroke, having important implications for future cerebrovascular research.

Patterns of Sedentary Behavior and Mortality in U.S. Middle-Aged and Older Adults: A National Cohort Study

BACKGROUND

Excessive sedentary time is ubiquitous in Western societies. Previous studies have relied on self-reporting to evaluate the total volume of sedentary time as a prognostic risk factor for mortality and have not examined whether the manner in which sedentary time is accrued (in short or long bouts) carries prognostic relevance.

OBJECTIVE

To examine the association between objectively measured sedentary behavior (its total volume and accrual in prolonged, uninterrupted bouts) and all-cause mortality.

DESIGN

Prospective cohort study.

SETTING

Contiguous United States.

PARTICIPANTS

7985 black and white adults aged 45 years or older.

MEASUREMENTS

Sedentary time was measured using a hip-mounted accelerometer. Prolonged, uninterrupted sedentariness was expressed as mean sedentary bout length. Hazard ratios (HRs) were calculated comparing quartiles 2 through 4 to quartile 1 for each exposure (quartile cut points: 689.7, 746.5, and 799.4 min/d for total sedentary time; 7.7, 9.6, and 12.4 min/bout for sedentary bout duration) in models that included moderate to vigorous physical activity.

RESULTS

Over a median follow-up of 4.0 years, 340 participants died. In multivariable-adjusted models, greater total sedentary time (HR, 1.22 [95% CI, 0.74 to 2.02]; HR, 1.61 [CI, 0.99 to 2.63]; and HR, 2.63 [CI, 1.60 to 4.30]; P for trend < 0.001) and longer sedentary bout duration (HR, 1.03 [CI, 0.67 to 1.60]; HR, 1.22 [CI, 0.80 to 1.85]; and HR, 1.96 [CI, 1.31 to 2.93]; P for trend < 0.001) were both associated with a higher risk for all-cause mortality. Evaluation of their joint association showed that participants classified as high for both sedentary characteristics (high sedentary time [≥12.5 h/d] and high bout duration [≥10 min/bout]) had the greatest risk for death.

LIMITATION

Participants may not be representative of the general U.S. population.

CONCLUSION

Both the total volume of sedentary time and its accrual in prolonged, uninterrupted bouts are associated with all-cause mortality, suggesting that physical activity guidelines should target reducing and interrupting sedentary time to reduce risk for death.

PRIMARY FUNDING SOURCE

National Institutes of Health.

Participation in a US community-based cardiovascular health study: investigating nonrandom selection effects related to employment, perceived stress, work-related stress, and family caregiving

PURPOSE

Participation in health studies may be inversely associated with employment and stress. We investigated whether employment, perceived stress, work-related stress, and family caregiving were related to participation in a longitudinal US community-based health study of black and white men and women aged ≥45 years.

METHODS

Prevalence ratios and confidence intervals were estimated for completion of the second stage (S2) of a two-stage enrollment process by employment (status, type), and stress (perceived stress, work-related stress, caregiving), adjusting for age, sex, race, region, income, and education. Eligibility and consent for a follow-up occupational survey were similarly evaluated.

RESULTS

Wage- but not self-employed participants were less likely than the unemployed to complete S2. Among the employed, S2 completion did not vary by stress; however, family caregivers with a short time burden of care (<2 hour/d) were more likely to complete S2, compared to noncaregivers. Eligibility and participation in the follow-up occupational survey were higher among those employed (vs. unemployed) at enrollment but were not associated with enrollment stress levels.

CONCLUSIONS

Limited evidence of selection bias was seen by employment and stress within a large US community-based cohort, but findings suggest the need for enrollment procedures to consider possible barriers to participation among wage-employed individuals.

Cardiovascular Disease Burden and Socioeconomic Correlates: Findings From the Jackson Heart Study

BACKGROUND

Black persons have an excess burden of cardiovascular disease (CVD) compared with white persons. This burden persists after adjustment for socioeconomic status and other known CVD risk factors. This study evaluated the CVD burden and the socioeconomic gradient of CVD among black participants in the JHS (Jackson Heart Study).

METHODS AND RESULTS

CVD burden was evaluated by comparing the observed prevalence of myocardial infarction, stroke, and hypertension in the JHS at baseline (2000-2004) with the expected prevalence according to US national surveys during a similar time period. The socioeconomic gradient of CVD was evaluated using logistic regression models. Compared with the national data, the JHS age- and sex-standardized prevalence ratios for myocardial infarction, stroke, and hypertension were 1.07 (95% CI, 0.90-1.27), 1.46 (95% CI, 1.18-1.78), and 1.51 (95% CI, 1.42-1.60), respectively, in men and 1.50 (95% CI, 1.27-1.76), 1.33 (95% CI, 1.12-1.57), and 1.43 (95% CI, 1.37-1.50), respectively, in women. A significant and inverse relationship was observed between socioeconomic status and CVD within the JHS cohort. The strongest and most consistent socioeconomic correlate after adjusting for age and sex was income for myocardial infarction (odds ratio: 3.53; 95% CI, 2.31-5.40) and stroke (odds ratio: 3.73; 95% CI, 2.32-5.97), comparing the poor and affluent income categories.

CONCLUSIONS

Except for myocardial infarction in men, CVD burden in the JHS cohort was higher than expected. A strong inverse socioeconomic gradient of CVD was also observed within the JHS cohort.

Association between trace elements in the environment and stroke risk: The reasons for geographic and racial differences in stroke (REGARDS) study

The disparities in stroke mortality between blacks and whites, as well as the increased stroke mortality in the "stroke belt" have long been noted. The reasons for these disparities have yet to be fully explained. The association between trace element status and cardiovascular diseases, including stroke, has been suggested as a possible contributor to the disparities in stroke mortality but has not been fully explored. The purpose of this study is to investigate distributions of four trace elements (arsenic, mercury, magnesium, and selenium) in the environment in relation to stroke risk. The study population (N=27,770) is drawn from the Reasons for Geographic and Racial Disparities in Stroke (REGARDS) cohort. Environmental distribution of each trace element was determined using data from the United States Geological Survey (USGS) and was categorized in quartiles. A proportional hazards model, adjusted for demographic data and stroke risk factors, was used to examine the association of interest. The results showed that higher selenium levels in the environment were associated with increased stroke risk, and the hazard ratio for the 4th quartile compared to the 1st quartile was 1.33 (95% CI: 1.09, 1.62). However, there was no statistically significant relationship between environmental arsenic, mercury or magnesium and the risk of stroke. Because of dietary and non-dietary exposure as well as bioavailability, further research using biomarkers is warranted to examine the association between these trace elements and the risk of stroke.

Pollution and regional variations of lung cancer mortality in the United States

INTRODUCTION

The aims of this study were to identify counties in the United States (US) with high rates of lung cancer mortality, and to characterize the associated community-level factors while focusing on particulate-matter pollution.

METHODS

We performed a descriptive analysis of lung cancer deaths in the US from 2004 through 2014. We categorized counties as "clustered" or "non-clustered" - based on whether or not they had high lung cancer mortality rates - using novel geospatial autocorrelation methods. We contrasted community characteristics between cluster categories. We performed logistic regression for the association between cluster category and particulate-matter pollution.

RESULTS

Among 362 counties (11.6%) categorized as clustered, the age-adjusted lung cancer mortality rate was 99.70 deaths per 100,000 persons (95%CI: 99.1-100.3). Compared with non-clustered counties, clustered counties were more likely in the south (72.9% versus 42.1%, P<0.01) and in non-urban communities (73.2% versus 57.4, P<0.01). Clustered counties had greater particulate-matter pollution, lower education and income, higher rates of obesity and physical inactivity, less access to healthcare, and greater unemployment rates (P<0.01). Higher levels of particulate-matter pollution (4th quartile versus 1st quartile) were associated with two-fold greater odds of being a clustered county (adjusted OR: 2.10; 95%CI: 1.23-3.59).

CONCLUSION

We observed a belt of counties with high lung mortality ranging from eastern Oklahoma through central Appalachia; these counties were characterized by higher pollution, a more rural population, lower socioeconomic status and poorer access to healthcare. To mitigate the burden of lung cancer mortality in the US, both urban and rural areas should consider minimizing air pollution.

Defining Sepsis Mortality Clusters in the United States

OBJECTIVES

In the United States, sepsis is a major public health problem accounting for over 200,000 annual deaths. The aims of this study were to identify U.S. counties with high sepsis mortality and to assess the community characteristics associated with increased sepsis mortality.

DESIGN

We performed a descriptive analysis of 2003 through 2012 Compressed Mortality File data. We defined sepsis deaths as deaths associated with an infection, classified according to the International Classification of Diseases, 10th Version.

SETTING

Three thousand one hundred and eight counties in the contiguous U.S. counties, excluding Hawaii and Alaska.

MEASUREMENTS AND MAIN RESULTS

Using geospatial autocorrelation methods, we defined county-level sepsis mortality as strongly clustered, moderately clustered, and nonclustered. We approximated the mean crude, age-adjusted, and community-adjusted sepsis mortality rates nationally and for clustering groups. We contrasted demographic and community characteristics between clustering groups. We performed logistic regression for the association between strongly clustered counties and community characteristics. Among 3,108 U.S. counties, the age-adjusted sepsis mortality rate was 59.6 deaths per 100,000 persons (95% CI, 58.9-60.4). Sepsis mortality was higher in the Southern U.S. and clustered in three major regions: Mississippi Valley, Middle Georgia, and Central Appalachia. Among 161 (5.2%) strongly clustered counties, age-adjusted sepsis mortality was 93.1 deaths per 100,000 persons (95% CI, 90.5-95.7). Strongly clustered sepsis counties were more likely to be located in the south (92.6%; p < 0.001), exhibit lower education, higher impoverished population, without medical insurance, higher medically uninsured rates, and had higher unemployment rates (p < 0.001).

CONCLUSIONS

Sepsis mortality is higher in the Southern United States, with three regional clusters: "Mississippi Valley," "Middle Georgia," and "Central Appalachia": Regions of high sepsis mortality are characterized by lower education, income, employment, and insurance coverage.

The geographic distribution of trace elements in the environment: the REGARDS study

Research on trace elements and the effects of their ingestion on human health is often seen in scientific literature. However, little research has been done on the distribution of trace elements in the environment and their impact on health. This paper examines what characteristics among participants in the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study are associated with levels of environmental exposure to arsenic, magnesium, mercury, and selenium. Demographic information from REGARDS participants was combined with trace element concentration data from the US Geochemical Survey (USGS). Each trace element was characterized as either low (magnesium and selenium) or high (arsenic and mercury) exposure. Associations between demographic characteristics and trace element concentrations were analyzed with unadjusted and adjusted logistic regression models. Individuals who reside in the Stroke Belt have lower odds of high exposure (4th quartile) to arsenic (OR 0.33, CI 0.31, 0.35) and increased exposure to mercury (OR 0.65, CI 0.62, 0.70) than those living outside of these areas, while the odds of low exposure to trace element concentrations were increased for magnesium (OR 5.48, CI 5.05, 5.95) and selenium (OR 2.37, CI 2.22, 2.54). We found an association between levels of trace elements in the environment and geographic region of residence, among other factors. Future studies are needed to further examine this association and determine whether or not these differences may be related to geographic variation in disease.