Disparities in Temporal and Geographic Patterns of Declining Heart Disease Mortality by Race and Sex in the United States, 1973-2010

Age-specific differences in the association between prediabetes and cardiovascular diseases in China: A national cross-sectional study

BACKGROUND

Cardiovascular disease (CVD) is a leading cause of morbidity and mortality worldwide, the global burden of which is rising. It is still unclear the extent to which prediabetes contributes to the risk of CVD in various age brackets among adults. To develop a focused screening plan and treatment for Chinese adults with prediabetes, it is crucial to identify variations in the connection between prediabetes and the risk of CVD based on age.

AIM

To examine the clinical features of prediabetes and identify risk factors for CVD in different age groups in China.

METHODS

The cross-sectional study involved a total of 46239 participants from June 2007 through May 2008. A thorough evaluation was conducted. Individuals with prediabetes were categorized into two groups based on age. Chinese atherosclerotic CVD risk prediction model was employed to evaluate the risk of developing CVD over 10 years. Random forest was established in both age groups. SHapley Additive exPlanation method prioritized the importance of features from the perspective of assessment contribution.

RESULTS

In total, 6948 people were diagnosed with prediabetes in this study. In pre-diabetes, prevalences of CVD were 5 (0.29%) in the younger group and 148 (2.85%) in the older group. Overall, 11.11% of the younger group and 29.59% of the older group were intermediate/high-risk of CVD for prediabetes without CVD based on the Prediction for ASCVD Risk in China equation in ten years. In the younger age group, the 10-year risk of CVD was found to be more closely linked to family history of CVD rather than lifestyle, whereas in the older age group, resident status was more closely linked.

CONCLUSION

The susceptibility to CVD is age-specific in newly diagnosed prediabetes. It is necessary to develop targeted approaches for the prevention and management of CVD in adults across various age brackets.

Causality of anti-Helicobacter pylori IgG levels on myocardial infarction and potential pathogenesis: a Mendelian randomization study

Background

Previous observational studies have shown that a potential relationship between anti-Helicobacter pylori (H. pylori) IgG levels and Myocardial Infarction (MI). Nevertheless, the evidence for the causal inferences remains disputable. To further clarify the relationship between anti-H. pylori IgG levels and MI and explore its pathogenesis, we conducted a Mendelian randomization (MR) analysis.

Methods

In this study, we used two-sample Mendelian Randomization (MR) to assess the causality of anti-H. pylori IgG levels on MI and potential pathogenesis, 12 single nucleotide polymorphisms (SNPs) related to anti-H. pylori IgG levels were obtained from the European Bioinformatics Institute (EBI). Summary data from a large-scale GWAS meta-analysis of MI was utilized as the outcome dataset. Summary data of mediators was obtained from the FinnGen database, the UK Biobank, the EBI database, MRC-IEU database, the International Consortium of Blood Pressure, the Consortium of Within family GWAS. Inverse variance weighted (IVW) analysis under the fixed effect model was identified as our main method. To ensure the reliability of the findings, many sensitivity analyses were performed.

Results

Our study revealed that increases of anti-H. pylori IgG levels were significantly related to an increased risk of MI (OR, 1.104; 95% CI,1.042-1.169; p = 7.084 × 10-4) and decreases in HDL cholesterol levels (β, -0.016; 95% CI, -0.026 to -0.006; p = 2.02 × 10-3). In addition, there was no heterogeneity or pleiotropy in our findings.

Conclusion

This two-sample MR analysis revealed the causality of anti-H. pylori IgG levels on MI, which might be explained by lower HDL cholesterol levels. Further research is needed to clarify the results.

Embedded racism: Inequitable niche construction as a neglected evolutionary process affecting health

Racial health disparities are a pervasive feature of modern experience and structural racism is increasingly recognized as a public health crisis. Yet evolutionary medicine has not adequately addressed the racialization of health and disease, particularly the systematic embedding of social biases in biological processes leading to disparate health outcomes delineated by socially defined race. In contrast to the sheer dominance of medical publications which still assume genetic 'race' and omit mention of its social construction, we present an alternative biological framework of racialized health. We explore the unifying evolutionary-ecological principle of niche construction as it offers critical insights on internal and external biological and behavioral feedback processes environments at every level of the organization. We Integrate insights of niche construction theory in the context of human evolutionary and social history and phenotype-genotype modification, exposing the extent to which racism is an evolutionary mismatch underlying inequitable disparities in disease. We then apply ecological models of niche exclusion and exploitation to institutional and interpersonal racial constructions of population and individual health and demonstrate how discriminatory processes of health and harm apply to evolutionarily relevant disease classes and life-history processes in which socially defined race is poorly understood and evaluated. Ultimately, we call for evolutionary and biomedical scholars to recognize the salience of racism as a pathogenic process biasing health outcomes studied across disciplines and to redress the neglect of focus on research and application related to this crucial issue.

A Dynamic Visualization Tool of Local Trends in Heart Disease and Stroke Mortality in the United States

Efforts in the US to prevent and treat cardiovascular disease (CVD) contributed to large decreases in death rates for decades; however, in the last decade, progress has stalled, and in many counties, CVD death rates have increased. Because of these increases, there is heightened urgency to disseminate high-quality data on the temporal trends in CVD mortality. The Local Trends in Heart Disease and Stroke Mortality Dashboard is an online, interactive visualization of US county-level death rates and trends for several CVD outcomes across stratifications of age, race and ethnicity, and sex. This powerful visualization tool generates national maps of death rates and trends, state maps of death rates and trends, county-level line plots of annual death rates, and bar charts of percentage changes. County-level death rates and trends were estimated by applying a Bayesian spatiotemporal model to data obtained from the National Vital Statistics System of the National Center for Health Statistics and US Census bridged-race intercensal estimates for the years 1999 through 2019. The Local Trends in Heart Disease and Stroke Mortality Dashboard makes it easy for public health practitioners, health care providers, and community leaders to monitor county-level spatiotemporal trends in CVD mortality by age group, race and ethnicity, and sex and provides key information for identifying and addressing local health inequities in CVD mortality trends.

A Convergent Mixed Methods Study of Cardiovascular Disease Risk Factors among Young Black Men in the United States

Background

An understanding of the factors that influence cardiovascular (CVD) risk among young Black men is critically needed to promote cardiovascular health earlier in the life course and prevent poor outcomes later in life.

Purpose

To explore how individual (eg, depression, racial discrimination) and environmental factors (eg, neighborhood resources) are associated with CVD risk factors among young Black men.

Methods

We conducted a convergent mixed methods study (qualitative/quantitative, QUAL+quant) with Black men aged 18 to 30 years (N = 21; 3 focus groups). Participants completed a self-administered electronic survey immediately prior to the focus groups.

Results

Participants (M age = 23) reported: two or more CVD risk factors (75%; eg, high blood pressure); racial discrimination (32%); and depressive symptoms in the past 2 weeks (50%). Five themes emerged: 1) emergence and navigation of Black manhood stressors; 2) high expectations despite limited available resources; 3) heart disease socialization: explicit and vicarious experiences; 4) managing health care needs against fear, avoidance and toughing it out; and 5) camaraderie and social support can motivate or deter. The integrated qualitative and quantitative analyses highlight race, gender, and class intersectionality factors that are relevant to what it means to be young, Black, male and of lower socioeconomic status in the United States.

Conclusion

Our findings help to identify modifiable, culturally specific and contextually relevant factors that relate to CVD risk factors among young Black men. Such work is crucial to inform interventions, primary prevention efforts, policies, and social-structural changes to thwart the development of CVD and advanced disease stages.

The where of when: Geographic variation in the timing of recent increases in US county-level heart disease death rates

PURPOSE

Within the context of local increases in US heart disease death rates, we estimated when increasing heart disease death rates began by county among adults aged 35-64 years and characterized geographic variation.

METHODS

We applied Bayesian spatiotemporal models to vital statistics data to estimate the timing (i.e., the year) of increasing county-level heart disease death rates during 1999-2019 among adults aged 35-64 years. To examine geographic variation, we stratified results by US Census region and urban-rural classification.

RESULTS

The onset of increasing heart disease death rates among adults aged 35-64 years spanned the two-decade study period from 1999 to 2019. Overall, 43.5% (95% CI: 41.3, 45.6) of counties began increasing before 2011, with early increases more prevalent outside of the most urban counties and outside of the Northeast. Roughly one-in-five (18.4% [95% CI: 15.6, 20.7]) counties continued to decline throughout the study period.

CONCLUSIONS

This variation suggests that factors associated with these geographic classifications may be critical in establishing the timing of changing trends in heart disease death rates. These results reinforce the importance of spatiotemporal surveillance in the early identification of adverse trends and in informing opportunities for tailored policies and programs.

Impact of Federal, State, and Local Housing Policies on Disparities in Cardiovascular Disease in Black/African American Men and Women: From Policy to Pathways to Biology

Racist and discriminatory federal, state, and local housing policies significantly contribute to disparities in cardiovascular disease incidence and mortality for individuals that self-identify as Black or African American. Here we highlight three key housing policies - "redlining," zoning, and the construction of highways - which have wrought a powerful, sustained, and destructive impact on cardiovascular health in Black/African American communities. Redlining and highway construction policies have restricted access to quality health care, increased exposure to carcinogens such as PM2.5, and increased exposure to extreme heat. At the root of these policy decisions are longstanding, toxic societal factors including racism, segregation, and discrimination, which also serve to perpetuate racial inequities in cardiovascular health. Here, we review these societal and structural factors and then link them with biological processes such as telomere shortening, allostatic load, oxidative stress, and tissue inflammation. Lastly, we focus on the impact of inflammation on the immune system and the molecular mechanisms by which the inflamed immune microenvironment promotes the formation of atherosclerotic plaques. We propose that racial residential segregation and discrimination increases tissue inflammation and cytokine production, resulting in dysregulated immune signaling, which promotes plaque formation and cardiovascular disease. This framework has the power to link structural racism not only to cardiovascular disease, but also to cancer.

County-Level Trends in Hypertension-Related Cardiovascular Disease Mortality-United States, 2000 to 2019

Background

Amid stagnating declines in national cardiovascular disease (CVD) mortality, documenting trends in county‐level hypertension‐related CVD death rates can help activate local efforts prioritizing hypertension prevention, detection, and control.

Methods and Results

Using death certificate data from the National Vital Statistics System, Bayesian spatiotemporal models were used to estimate county‐level hypertension‐related CVD death rates and corresponding trends during 2000 to 2010 and 2010 to 2019 for adults aged ≥35 years overall and by age group, race or ethnicity, and sex. Among adults aged 35 to 64 years, county‐level hypertension‐related CVD death rates increased from a median of 23.2 per 100 000 in 2000 to 43.4 per 100 000 in 2019. Among adults aged ≥65 years, county‐level hypertension‐related CVD death rates increased from a median of 362.1 per 100 000 in 2000 to 430.1 per 100 000 in 2019. Increases were larger and more prevalent among adults aged 35 to 64 years than those aged ≥65 years. More than 75% of counties experienced increasing hypertension‐related CVD death rates among patients aged 35 to 64 years during 2000 to 2010 and 2010 to 2019 (76.2% [95% credible interval, 74.7–78.4] and 86.2% [95% credible interval, 84.6–87.6], respectively), compared with 48.2% (95% credible interval, 47.0–49.7) during 2000 to 2010 and 66.1% (95% credible interval, 64.9–67.1) for patients aged ≥65 years. The highest rates for both age groups were among men and Black populations. All racial and ethnic categories in both age groups experienced widespread county‐level increases.

Conclusions

Large, widespread county‐level increases in hypertension‐related CVD mortality sound an alarm for intensified clinical and public health actions to improve hypertension prevention, detection, and control and prevent subsequent CVD deaths in counties across the nation.

Trends and Inequalities in the Incidence of Acute Myocardial Infarction among Beijing Townships, 2007-2018

Acute myocardial infarction (AMI) poses a serious disease burden in China, but studies on small-area characteristics of AMI incidence are lacking. We therefore examined temporal trends and geographic variations in AMI incidence at the township level in Beijing. In this cross-sectional analysis, 259,830 AMI events during 2007–2018 from the Beijing Cardiovascular Disease Surveillance System were included. We estimated AMI incidence for 307 consistent townships during consecutive 3-year periods with a Bayesian spatial model. From 2007 to 2018, the median AMI incidence in townships increased from 216.3 to 231.6 per 100,000, with a greater relative increase in young and middle-aged males (35–49 years: 54.2%; 50–64 years: 33.2%). The most pronounced increases in the relative inequalities was observed among young residents (2.1 to 2.8 for males and 2.8 to 3.4 for females). Townships with high rates and larger relative increases were primarily located in Beijing’s northeastern and southwestern peri-urban areas. However, large increases among young and middle-aged males were observed throughout peri-urban areas. AMI incidence and their changes over time varied substantially at the township level in Beijing, especially among young adults. Targeted mitigation strategies are required for high-risk populations and areas to reduce health disparities across Beijing.

Cardiovascular Health Metrics in Patients Hospitalized with an Acute Coronary Syndrome

BACKGROUND

The Life's Simple 7 (LS7) is a guiding metric for primordial/primary prevention of cardiovascular disease. However, little is known about the prevalence and distribution of LS7 metrics in patients with an acute coronary syndrome at the time of hospitalization.

METHODS

Data were obtained from patients hospitalized for an acute coronary syndrome at 6 hospitals in Central Massachusetts and Georgia (2011-2013). The LS7 assessed patient's smoking, diet, and physical activity based on self-reported measures, and patients' body mass index, blood pressure, and serum cholesterol and glucose levels were abstracted from medical records. All items were operationalized into 3 categories: poor (0), intermediate (1), or ideal (2). A total summary cardiovascular health score (0-14) was obtained and categorized into tertiles (0-5, 6-7, and 8-14).

RESULTS

The average age of study participants (n = 1110) was 59.6 years and 35% were women. Cardiovascular health scores ranged from 0-12 (mean = 6.2). Patients with higher scores were older, white, had lower burden of comorbidities, had fewer symptoms of anxiety, depression, and stress, better quality of life, more social support, and greater healthcare activation. One-third of patients had only 1 ideal cardiovascular health measure, less than 1% had 5, and no participant had more than 5 ideal factors.

CONCLUSIONS

Our results indicate that patients with acute coronary syndrome have poor cardiovascular health. Sociodemographic, clinical, and psychosocial characteristics differed across cardiovascular health groups. These findings highlight potential areas for educational and therapeutic interventions to reduce the risk of cardiovascular disease and promote cardiovascular health in adult men and women.

Longitudinal Trajectories and Factors Associated With US County-Level Cardiovascular Mortality, 1980 to 2014

IMPORTANCE

Cardiovascular (CV) mortality has declined for more than 3 decades in the US. However, differences in declines among residents at a US county level are not well characterized.

OBJECTIVE

To identify unique county-level trajectories of CV mortality in the US during a 35-year study period and explore county-level factors that are associated with CV mortality trajectories.

DESIGN, SETTING, AND PARTICIPANTS

This longitudinal cross-sectional analysis of CV mortality trends used data from 3133 US counties from 1980 to 2014. County-level demographic, socioeconomic, environmental, and health-related risk factors were compiled. Data were analyzed from December 2019 to September 2021.

EXPOSURES

County-level characteristics, collected from 5 county-level data sets.

MAIN OUTCOMES AND MEASURES

Cardiovascular mortality data were obtained for 3133 US counties from 1980 to 2014 using age-standardized county-level mortality rates from the Global Burden of Disease study. The longitudinal K-means approach was used to identify 3 distinct clusters based on underlying mortality trajectory. Multinomial logistic regression models were constructed to evaluate associations between county characteristics and cluster membership.

RESULTS

Among 3133 US counties (median, 49.5% [IQR, 48.9%-50.5%] men; 30.7% [IQR, 27.1%-34.4%] older than 55 years; 9.9% [IQR, 4.5%-22.7%] racial minority group [individuals self-identifying as Black or African American, American Indian or Alaska Native, Asian, Native Hawaiian, Pacific Islander, other, or multiple races/ethnicities]), CV mortality declined by 45.5% overall and by 38.4% in high-mortality strata (694 counties), by 45.0% in intermediate-mortality strata (1382 counties), and by 48.3% in low-mortality strata (1057 counties). Counties with the highest mortality in 1980 continued to demonstrate the highest mortality in 2014. Trajectory groups were regionally distributed, with high-mortality trajectory counties focused in the South and in portions of Appalachia. Low- vs high-mortality groups varied significantly in demographic (racial minority group proportion, 7.6% [IQR, 4.1%-14.5%]) vs 23.9% [IQR, 6.5%-40.8%]) and socioeconomic characteristics such as high-school education (9.4% [IQR, 7.3%-12.6%] vs 20.1% [IQR, 16.1%-23.2%]), poverty rates (11.4% [IQR, 8.8%-14.6%] vs 20.6% [IQR, 17.1%-24.4%]), and violent crime rates (161.5 [IQR, 89.0-262.4] vs 272.8 [IQR, 155.3-431.3] per 100 000 population). In multinomial logistic regression, a model incorporating demographic, socioeconomic, environmental, and health characteristics accounted for 60% of the variance in the CV mortality trajectory (R2 = 0.60). Sociodemographic factors such as racial minority group proportion (odds ratio [OR], 1.70 [95% CI, 1.35-2.14]) and educational attainment (OR, 6.17 [95% CI, 4.55-8.36]) and health behaviors such as smoking (OR for high vs low, 2.04 [95% CI, 1.58-2.64]) and physical inactivity (OR, 3.74 [95% CI, 2.83-4.93]) were associated with the high-mortality trajectory.

CONCLUSIONS AND RELEVANCE

Cardiovascular mortality declined in all subgroups during the 35-year study period; however, disparities remained unchanged during that time. Disparate trajectories were associated with social and behavioral risks. Health policy efforts across multiple domains, including structural and public health targets, may be needed to reduce existing county-level cardiovascular mortality disparities.

A Cluster Randomized Trial of a Community-Based Intervention Among African-American Adults: Effects on Dietary and Physical Activity Outcomes

Evidence of the effectiveness of community-based lifestyle behavior change interventions among African-American adults is mixed. We implemented a behavioral lifestyle change intervention, Heart Matters, in two rural counties in North Carolina with African-American adults. Our aim was to evaluate the effect of Heart Matters on dietary and physical activity behaviors, self-efficacy, and social support. We used a cluster randomized controlled trial to compare Heart Matters to a delayed intervention control group after 6 months. A total of 143 African-American participants were recruited and 108 completed 6-month follow-up assessments (75.5%). We used mixed regression models to evaluate changes in outcomes from baseline to 6-month follow-up. The intervention had a significant positive effect on self-reported scores of encouragement of healthy eating, resulting in an increase in social support from family of 6.11 units (95% CI [1.99, 10.22]) (p < .01). However, intervention participants also had an increase in discouragement of healthy eating compared to controls of 5.59 units (95% CI [1.46, 9.73]) among family (p < .01). There were no significant differences in changes in dietary behaviors. Intervention participants had increased odds (OR = 2.86, 95% CI [1.18, 6.93]) of increased frequency of vigorous activity for at least 20 min per week compared to control participants (p < .05). Individual and group lifestyle behavior counseling can have a role in promoting physical activity levels among rural African-American adults, but more research is needed to identify the best strategies to bolster effectiveness and influence dietary change. Trial Registration: Clinical Trials, NCT02707432. Registered 13 March 2016.

Changing Spatiotemporal Trends in County-Level Heart Failure Death Rates in the United States, 1999 to 2018

Background

Amid recently rising heart failure (HF) death rates in the United States, we describe county‐level trends in HF mortality from 1999 to 2018 by racial/ethnic group and sex for ages 35 to 64 years and 65 years and older.

Methods and Results

Applying a hierarchical Bayesian model to National Vital Statistics data representing all US deaths, ages 35 years and older, we estimated annual age‐standardized county‐level HF death rates and percent change by age group, racial/ethnic group, and sex from 1999 through 2018. During 1999 to 2011, ~30% of counties experienced increasing HF death rates among adults ages 35 to 64 years. However, during 2011 to 2018, 86.9% (95% CI, 85.2–88.2) of counties experienced increasing mortality. Likewise, for ages 65 years and older, during 1999 to 2005 and 2005 to 2011, 27.8% (95% CI, 25.8–29.8) and 12.6% (95% CI, 11.2–13.9) of counties, respectively, experienced increasing mortality. However, during 2011 to 2018, most counties (67.4% [95% CI, 65.4–69.5]) experienced increasing mortality. These temporal patterns by age group held across racial/ethnic group and sex.

Conclusions

These results provide local context to previously documented recent national increases in HF death rates. Although county‐level declines were most common before 2011, some counties and demographic groups experienced increasing HF death rates during this period of national declines. However, recent county‐level increases were pervasive, occurring across counties, racial/ethnic group, and sex, particularly among ages 35 to 64 years. These spatiotemporal patterns highlight the need to identify and address underlying clinical risk factors and social determinants of health contributing to these increasing trends.

Historic and recent trends in county-level coronary heart disease death rates by race, gender, and age group, United States, 1979-2017

Given recent slowing of declines in national all-cause, heart disease, and stroke mortality, examining spatiotemporal distributions of coronary heart disease (CHD) death rates and trends can provide data critical to improving the cardiovascular health of populations. This paper documents county-level CHD death rates and trends by age group, race, and gender from 1979 through 2017. Using data from the National Vital Statistics System and a Bayesian multivariate space-time conditional autoregressive model, we estimated county-level age-standardized annual CHD death rates for 1979 through 2017 by age group (35–64 years, 65 years and older), race (white, black, other), and gender (men, women). We then estimated county-level total percent change in CHD death rates during four intervals (1979–1990, 1990–2000, 2000–2010, 2010–2017) using log-linear regression models. For all intervals, national CHD death rates declined for all groups. Prior to 2010, although most counties across age, race, and gender experienced declines, pockets of increasing CHD death rates were observed in the Mississippi Delta, Oklahoma, East Texas, and New Mexico across age groups and gender, and were more prominent among non-white populations than whites. Since 2010, across age, race, and gender, county-level declines in CHD death rates have slowed, with a marked increase in the percent of counties with increasing CHD death rates (e.g. 4.4% and 19.9% for ages 35 and older during 1979–1990 and 2010–2017, respectively). Recent increases were especially prevalent and geographically widespread among ages 35–64 years, with 40.5% of counties (95% CI: 38.4, 43.1) experiencing increases. Spatiotemporal differences in these long term, county-level results can inform responses by the public health community, medical providers, researchers, and communities to address troubling recent trends.

C-reactive protein and stroke risk in blacks and whites: The REasons for Geographic And Racial Differences in Stroke cohort

BACKGROUND

C-reactive protein (CRP) is an inflammatory biomarker used in vascular risk prediction, though with less data in people of color. Blacks have higher stroke incidence and also higher CRP than whites. We studied the association of CRP with ischemic stroke risk in blacks and whites.

METHODS

REGARDS, an observational cohort study, recruited and followed 30,239 black and white Americans 45 years and older for ischemic stroke. We calculated hazard ratios and 95% CIs of ischemic stroke by CRP category (<1, 1-3, 3-10, and ≥10 mg/L) adjusted for age, sex and stroke risk factors.

RESULTS

There were 292 incident ischemic strokes among blacks and 439 in whites over 6.9 years of follow-up. In whites, the risk was elevated for CRP in the range from 3 to 10 mg/L and even higher for CRP >10 mg/L, whereas in blacks, an association was only seen for CRP >10 mg/L. Considered as a continuous variable, the risk factor-adjusted hazard ratios per SD higher lnCRP were 1.18 (95% CI 1.09-1.28) overall, 1.14 (95% CI 1.00-1.29) in blacks, and 1.22 (95% CI 1.10-1.35) in whites. Spline regression analysis visually confirmed the race difference in the association.

CONCLUSIONS

CRP may not be equally useful in stroke risk assessment in blacks and whites. Confirmation, similar study for coronary heart disease, and identification of reasons for these racial differences require further study.

Black-White Differences in 20-year Trends in Cardiovascular Risk in the United States, 1990-2010

Objective

Improvements in the Black-White difference in life expectancy have been attributed to improved diagnosis and treatment of cardiovascular diseases and declines in cardiovascular disease mortality. However, it is unclear whether race differences in total cardiovascular risk and the prevalence of cardiovascular risk factors have improved in the United States since the 1990s.

Design

Serial cross-sectional design.

Setting

Data from the 1988-1994, 1999-2002, and 2009-2012 National Health and Nutrition Examination Survey (NHANES).

Methods

We estimated total cardiovascular risk levels, the prevalence of high-risk cardiovascular risk factors and the use of antihypertensive and lipid-lowering drugs among US Black and White men and women to determine whether differential changes occurred from 1990-2010.

Results

Total cardiovascular risk declined for all races from 1990-2010. The Black-White difference was only significant in 2000 and sex-specific analyses showed that trends seen in the total population were driven by changes among women. Black and White men did not differ in risk at any time during this period. Conversely, Black women had significantly higher risk than White women in 1990 and 2000; this difference was eliminated by 2010. Improved diagnosis and treatment of high blood pressure and high cholesterol reduced risk in the total population; improved blood pressure and lipid profiles among Black women and increasing obesity prevalence among White women specifically contributed to the narrowing of the Black-White difference in risk among women.

Conclusion

Cardiovascular risk and racial disparities in risk declined among US Whites and Blacks due to greater use and effectiveness of lipid-lowering and antihypertensive medications.

Measurement of Socioeconomic Position in Research on Cardiovascular Health Disparities in Korea: A Systematic Review

OBJECTIVES

The validity of instruments measuring socioeconomic position (SEP) has been a major area of concern in research on cardiovascular health disparities. The purpose of this systematic review is to identify the current status of the methods used to measure SEP in research on cardiovascular health disparities in Korea and to provide directions for future research.

METHODS

Relevant articles were obtained through electronic database searches with manual searches of reference lists and no restriction on the date of publication. SEP indicators were categorized into compositional, contextual, composite, and life-course measures.

RESULTS

Forty-eight studies published from 2003 to 2018 satisfied the review criteria. Studies utilizing compositional measures mainly relied on a limited number of SEP parameters. In addition, these measures hardly addressed the time-varying and subjective features of SEP. Finding valid contextual measures at the organizational, community, and societal levels that are appropriate to Korea's context remains a challenge, and these are rarely modeled simultaneously. Studies have rarely focused on composite and life-course measures.

CONCLUSIONS

Future studies should develop and utilize valid compositional and contextual measures and appraise social patterns that vary across time, place, and culture using such measures. Studies should also consider multilevel influences, adding a focus on the interactions between different levels of intertwined SEP factors to advance the design of research. More attention should be given to composite and life-course measures.

CVD risk factors and surrogate markers - Urban-rural differences

Aims: Disparity in cardiovascular disease (CVD) mortality and risk factor levels between urban and rural regions has been confirmed worldwide. The aim of this study was to examine how living in different community types (urban-rural) in childhood and adulthood are related to cardiovascular risk factors and surrogate markers of CVD such as carotid intima-media thickness (IMT) and left ventricular mass (LVM). Methods: The study population comprised 2903 participants (54.1% female, mean age 10.5 years in 1980) of the Cardiovascular Risk in Young Finns Study who had been clinically examined in 1980 (age 3-18 years) and had participated in at least one adult follow-up (2001-2011). Results: In adulthood, urban residents had lower systolic blood pressure (-1 mmHg), LDL-cholesterol (-0.05 mmol/l), lower body mass index (-1.0 kg/m²) and glycosylated haemoglobin levels (-0.05 mmol/mol), and lower prevalence of metabolic syndrome (19.9 v. 23.7%) than their rural counterparts. In addition, participants continuously living in urban areas had significantly lower IMT (-0.01 mm), LVM (1.59 g/m^2.7) and pulse wave velocity (-0.22 m/s) and higher carotid artery compliance (0.07%/10 mmHg) compared to persistently rural residents. The differences in surrogate markers of CVD were only partially attenuated when adjusted for cardiovascular risk factors. Conclusions: Participants living in urban communities had a more favourable cardiovascular risk factor profile than rural residents. Furthermore, participants continuously living in urban areas had less subclinical markers related to CVD compared with participants living in rural areas. Urban-rural differences in cardiovascular health might provide important opportunities for optimizing prevention by targeting areas of highest need.

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.

Estimating County-Level Mortality Rates Using Highly Censored Data From CDC WONDER

INTRODUCTION

CDC WONDER is a system developed to promote information-driven decision making and provide access to detailed public health information to the general public. Although CDC WONDER contains a wealth of data, any counts fewer than 10 are suppressed for confidentiality reasons, resulting in left-censored data. The objective of this analysis was to describe methods for the analysis of highly censored data.

METHODS

A substitution approach was compared with 1) a simple, nonspatial Bayesian model that smooths rates toward their statewide averages and 2) a more complex Bayesian model that accounts for spatial and between-age sources of dependence. Age group-specific county-level data on heart disease mortality were used for the comparisons.

RESULTS

Although the substitution and nonspatial approach provided age-standardized rate estimates that were more highly correlated with the true rate estimates, the estimates from the spatial Bayesian model provided a superior compromise between goodness-of-fit and model complexity, as measured by the deviance information criterion. In addition, the spatial Bayesian model provided rate estimates with greater precision than the nonspatial approach; in contrast, the substitution approach did not provide estimates of uncertainty.

CONCLUSION

Because of the ability to account for multiple sources of dependence and the flexibility to include covariate information, the use of spatial Bayesian models should be considered when analyzing highly censored data from CDC WONDER.

Progress Toward Improved Cardiovascular Health in the United States

The Healthy People Initiative has served as the leading disease prevention and health promotion roadmap for the nation since its inception in 1979. Healthy People 2020 (HP2020), the initiative's current iteration, sets a national prevention agenda with health goals and objectives by identifying nationwide health improvement priorities and providing measurable objectives and targets from 2010 to 2020. Central to the overall mission and vision of Healthy People is an emphasis on achieving health equity, eliminating health disparities, and improving health for all population groups. The Heart Disease and Stroke (HDS) Work Group of the HP2020 Initiative aims to leverage advances in biomedical science and prevention research to improve cardiovascular health across the nation. The initiative provides a platform to foster partnerships and empower professional societies and nongovernmental organizations, governments at the local, state, and national levels, and healthcare professionals to strengthen policies and improve practices related to cardiovascular health. Disparities in cardiovascular disease burden are well recognized across, for example, race/ethnicity, sex, age, and geographic region, and improvements in cardiovascular health for the entire population are only possible if such disparities are addressed through efforts that target individuals, communities, and clinical and public health systems. This article summarizes criteria for creating and tracking the 50 HDS HP2020 objectives in 3 areas (prevention, morbidity/mortality, and systems of care), reports on progress toward the 2020 targets for these objectives based on the most recent data available, and showcases examples of relevant programs led by participating agencies. Although most of the measurable objectives have reached the 2020 targets ahead of time (n=14) or are on track to meet the targets (n=7), others may not achieve the decade's targets if the current trends continue, with 3 objectives moving away from the targets. This summary illustrates the utility of HP2020 in tracking measures of cardiovascular health that are of interest to federal agencies and policymakers, professional societies, and other nongovernmental organizations. With planning for Healthy People 2030 well underway, stakeholders such as healthcare professionals can embrace collaborative opportunities to leverage existing progress and emphasize areas for improvement to maximize the Healthy People initiative's positive impact on population-level health.

Changing rate orders of race-gender heart disease death rates: An exploration of county-level race-gender disparities

A holistic view of racial and gender disparities that simultaneously compares multiple groups can suggest associated underlying contextual factors. Therefore, to more comprehensively understand temporal changes in combined racial and gender disparities, we examine variations in the orders of county-level race-gender specific heart disease death rates by age group from 1973-2015. We estimated county-level heart disease death rates by race, gender, and age group (35-44, 45-54, 55-64, 65-74, 75-84, ≥ 85, and ≥ 35) from the National Vital Statistics System of the National Center for Health Statistics from 1973-2015. We then ordered these rates from lowest to highest for each county and year. The predominant national rate order (i.e., white women (WW) < black women (BW) < white men (WM) < black men (BM)) was most common in younger age groups. Inverted rates for black women and white men (WW Collapse

Key Words

• BM, black men
• BW, black women
• CDC, Centers for Disease Control and Prevention
• County-level
• Gender
• Heart disease mortality
• ICD, International Classification of Diseases
• MCMC, Markov chain Monte Carlo
• NCHS, National Center for Health Statistics
• Race
• Spatiotemporal
• Temporal trends
• WM, white men
• WW, white women

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MESH Headings Collapse

Grants

• K01 HD074726 NICHD NIH HHS

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Affiliation(s)

Adam S. Vaughan Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, 4770 Buford Hwy NE, Atlanta, GA 30341, United States
Harrison Quick Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Nesbitt Hall, 3215 Market St., Philadelphia, PA 19104, United States
Linda Schieb Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, 4770 Buford Hwy NE, Atlanta, GA 30341, United States
Michael R. Kramer Department of Epidemiology, Rollins School of Public Health, Emory University, 1518 Clifton Road NE, Atlanta, GA 30322, United States
Herman A. Taylor Cardiovascular Research Institute, Morehouse School of Medicine, 720 Westview Drive, Atlanta, GA 30310, United States
Michele Casper Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, 4770 Buford Hwy NE, Atlanta, GA 30341, United States

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The Rate Stabilizing Tool: Generating Stable Local-Level Measures of Chronic Disease

Accurate and precise estimates of local-level epidemiologic measures are critical to informing policy and program decisions, but they often require advanced statistical knowledge, programming/coding skills, and extensive computing power. In response, we developed the Rate Stabilizing Tool (RST), an ArcGIS-based tool that enables users to input their own record-level data to generate more reliable age-standardized measures of chronic disease (eg, prevalence rates, mortality rates) or other population health outcomes at the county or census tract levels. The RST uses 2 forms of empirical Bayesian modeling (nonspatial and spatial) to estimate age-standardized rates and 95% credible intervals for user-specified geographic units. The RST also provides indicators of the reliability of point estimates. In addition to reviewing the RST's statistical techniques, we present results from a simulation study that illustrates the key benefit of smoothing. We demonstrate the dramatic reduction in root mean-squared error (rMSE), indicating a better compromise between accuracy and stability for both smoothing approaches relative to the unsmoothed estimates. Finally, we provide an example of the RST's use. This example uses heart disease mortality data for North Carolina census tracts to map the RST output, including reliability of estimates, and demonstrates a subsequent statistical test.

Geographic surveillance of community associated MRSA infections in children using electronic health record data

BACKGROUND

Community- associated methicillin resistant Staphylococcus aureus (CA-MRSA) cause serious infections and rates continue to rise worldwide. Use of geocoded electronic health record (EHR) data to prevent spread of disease is limited in health service research. We demonstrate how geocoded EHR and spatial analyses can be used to identify risks for CA-MRSA in children, which are tied to place-based determinants and would not be uncovered using traditional EHR data analyses.

METHODS

An epidemiology study was conducted on children from January 1, 2002 through December 31, 2010 who were treated for Staphylococcus aureus infections. A generalized estimated equations (GEE) model was developed and crude and adjusted odds ratios were based on S. aureus risks. We measured the risk of S. aureus as standardized incidence ratios (SIR) calculated within aggregated US 2010 Census tracts called spatially adaptive filters, and then created maps that differentiate the geographic patterns of antibiotic resistant and non-resistant forms of S. aureus.

RESULTS

CA-MRSA rates increased at higher rates compared to non-resistant forms, p = 0.01. Children with no or public health insurance had higher odds of CA-MRSA infection. Black children were almost 1.5 times as likely as white children to have CA-MRSA infections (aOR 95% CI 1.44,1.75, p < 0.0001); this finding persisted at the block group level (p < 0.001) along with household crowding (p < 0.001). The youngest category of age (< 4 years) also had increased risk for CA-MRSA (aOR 1.65, 95%CI 1.48, 1.83, p < 0.0001). CA-MRSA encompasses larger areas with higher SIRs compared to non-resistant forms and were found in block groups with higher proportion of blacks (r = 0.517, p < 0.001), younger age (r = 0.137, p < 0.001), and crowding (r = 0.320, p < 0.001).

CONCLUSIONS

In the Atlanta MSA, the risk for CA-MRSA is associated with neighborhood-level measures of racial composition, household crowding, and age of children. Neighborhoods which have higher proportion of blacks, household crowding, and children < 4 years of age are at greatest risk. Understanding spatial relationship at a community level and how it relates to risks for antibiotic resistant infections is important to combat the growing numbers and spread of such infections like CA-MRSA.

Geographic disparities persist despite decline in mortality from IHD in California's Central Valley 1999-2014

BACKGROUND

Nationally, ischemic heart disease mortality has declined significantly due to advancements in managing traditional risk factors of hypertension, diabetes, hyperlipidemia, smoking, and obesity and acute intervention. However geographic disparities persist that may, in part, be attributed to environmental effects.

METHODS

Ischemic heart disease age-adjusted mortality were obtained from the CDC database for years 1999 through 2014 by county, gender, race, and Hispanic origin for the Central Valley of California.

RESULTS

There was an increase in mortality from north to south of 14.9 (95% CI: 8.0-21.9, p value <0.0001) in time period 1, 7.9 (95% CI: 0.8-15, p value <0.05) in time period 2, and 9.2 (95% CI: 4.0-14.3, p value <0.001) in time period 3. In time period 1, the ambient particulate matter ≤2.5 micrometers (PM2.5) level increased from north to south by 0.84 µg/m³ (95% CI: 0.71-0.96), in time period 2 there was a 0.87 µg/m³ increase (95% CI: 0.74-1.0), and a 1.0 µg/m³ increase in time period 3 (95% CI: 0.87-1.1). PM2.5 level was correlated to IHD mortality in all time periods (Period 1 r2 = 0.46, p = 0.0001; Period 2, r2 = 0.34, p = 0.008; Period 3 r2 = 0.51, p value <0.0001).

CONCLUSION

Continued declines in ischemic heart disease mortality will depend on the concerted efforts of clinicians in continuing management of the traditional risk factors with appropriate medication use, acute interventions for coronary syndromes, the necessity of patient self-management of high risk behaviors associated with smoking and obesity, and the development of coordinated actions with policy makers to reduce environmental exposure in their respective communities.

Using spatiotemporal models to generate synthetic data for public use

When agencies release public-use data, they must be cognizant of the potential risk of disclosure associated with making their data publicly available. This issue is particularly pertinent in disease mapping, where small counts pose both inferential challenges and potential disclosure risks. While the small area estimation, disease mapping, and statistical disclosure limitation literatures are individually robust, there have been few intersections between them. Here, we formally propose the use of spatiotemporal data analysis methods to generate synthetic data for public use. Specifically, we analyze ten years of county-level heart disease death counts for multiple age-groups using a Bayesian model that accounts for dependence spatially, temporally, and between age-groups; generating synthetic data from the resulting posterior predictive distribution will preserve these dependencies. After demonstrating the synthetic data's privacy-preserving features, we illustrate their utility by comparing estimates of urban/rural disparities from the synthetic data to those from data with small counts suppressed.

Association of Helicobacter Pylori with Presence of Myocardial Infarction in Iran: A Systematic Review and Meta-Analysis

Background

Over the past decade, cardiovascular diseases have been recognized as the leading cause of mortality worldwide. Myocardial infarction (MI) is one of the most prevalent types of cardiovascular diseases that is caused by the closure of coronary arteries and ischemic heart muscle. Numerous studies have analyzed the role of H. pylori as a possible risk factor for coronary artery diseases, in most of which the role of infection in coronary artery disease is not statistically significant.

Methods

These contradictory findings made us conduct a systematic review to analyze all relevant studies in Iran through a meta-analysis and report a comprehensive and integrated result. All published studies from September 2000 until September 2016 were considered. Using reliable Latin databases like PubMed, Google Scholar, Google search, Scopus, Science Direct and Persian databases like SID, Irandoc, Iran Mede and Magiran. After quality control, these studies were entered into a meta-analysis by using the random effects model. After evaluating the studies, 11 papers were finally selected and assessed.

Results

A total of 2517 participants had been evaluated in these studies, including 1253 cases and 1264 controls. Based on the results of meta-analysis and using random effects model, an overall estimate of OR Helicobacter Pylori with Presence of Myocardial Infarction in Iran was OR=2.53 (CI=1.37-4.67).

Conclusions

The results of this review study show that H. pylori are associated with the incidence of MI so that the odds ratio of MI in the patients with helicobacter pylori is twice greater than that of the people without H. pylori. Future studies are recommended to evaluate the mechanisms associated with relation of H. pylori with MI as well as its association with time.

Heart Disease Death Rates Among Blacks and Whites Aged ≥35 Years - United States, 1968-2015

PROBLEM/CONDITION

Heart disease is the leading cause of death in the United States. In 2015, heart disease accounted for approximately 630,000 deaths, representing one in four deaths in the United States. Although heart disease death rates decreased 68% for the total population from 1968 to 2015, marked disparities in decreases exist by race and state.

PERIOD COVERED

1968-2015.

DESCRIPTION OF SYSTEM

The National Vital Statistics System (NVSS) data on deaths in the United States were abstracted for heart disease using diagnosis codes from the eighth, ninth, and tenth revisions of the International Classification of Diseases (ICD-8, ICD-9, and ICD-10) for 1968-2015. Population estimates were obtained from NVSS files. National and state-specific heart disease death rates for the total population and by race for adults aged ≥35 years were calculated for 1968-2015. National and state-specific black-white heart disease mortality ratios also were calculated. Death rates were age standardized to the 2000 U.S. standard population. Joinpoint regression was used to perform time trend analyses.

RESULTS

From 1968 to 2015, heart disease death rates decreased for the total U.S. population among adults aged ≥35 years, from 1,034.5 to 327.2 per 100,000 population, respectively, with variations in the magnitude of decreases by race and state. Rates decreased for the total population an average of 2.4% per year, with greater average decreases among whites (2.4% per year) than blacks (2.2% per year). At the national level, heart disease death rates for blacks and whites were similar at the start of the study period (1968) but began to diverge in the late 1970s, when rates for blacks plateaued while rates for whites continued to decrease. Heart disease death rates among blacks remained higher than among whites for the remainder of the study period. Nationwide, the black-white ratio of heart disease death rates increased from 1.04 in 1968 to 1.21 in 2015, with large increases occurring during the 1970s and 1980s followed by small but steady increases until approximately 2005. Since 2005, modest decreases have occurred in the black-white ratio of heart disease death rates at the national level. The majority of states had increases in black-white mortality ratios from 1968 to 2015. The number of states with black-white mortality ratios >1 increased from 16 (40%) to 27 (67.5%).

INTERPRETATION

Although heart disease death rates decreased both for blacks and whites from 1968 to 2015, substantial differences in decreases were found by race and state. At the national level and in most states, blacks experienced smaller decreases in heart disease death rates than whites for the majority of the period. Overall, the black-white disparity in heart disease death rates increased from 1968 to 2005, with a modest decrease from 2005 to 2015.

PUBLIC HEALTH ACTION

Since 1968, substantial increases have occurred in black-white disparities of heart disease death rates in the United States at the national level and in many states. These increases appear to be due to faster decreases in heart disease death rates for whites than blacks, particularly from the late 1970s until the mid-2000s. Despite modest decreases in black-white disparities at the national level since 2005, in 2015, heart disease death rates were 21% higher among blacks than among whites. This study demonstrates the use of NVSS data to conduct surveillance of heart disease death rates by race and of black-white disparities in heart disease death rates. Continued surveillance of temporal trends in heart disease death rates by race can provide valuable information to policy makers and public health practitioners working to reduce heart disease death rates both for blacks and whites and disparities between blacks and whites.

The legacy of slavery and contemporary declines in heart disease mortality in the U.S. South

BACKGROUND

This study aims to characterize the role of county-specific legacy of slavery in patterning temporal (i.e., 1968-2014), and geographic (i.e., Southern counties) declines in heart disease mortality. In this context, the U.S. has witnessed dramatic declines in heart disease mortality since the 1960's, which have benefitted place and race groups unevenly, with slower declines in the South, especially for the Black population.

METHODS

Age-adjusted race- and county-specific mortality rates from 1968-2014 for all diseases of the heart were calculated for all Southern U.S. counties. Candidate confounding and mediating covariates from 1860, 1930, and 1970, were combined with mortality data in multivariable regression models to estimate the ecological association between the concentration of slavery in1860 and declines in heart disease mortality from 1968-2014.

RESULTS

Black populations, in counties with a history of highest versus lowest concentration of slavery, experienced a 17% slower decline in heart disease mortality. The association for Black populations varied by region (stronger in Deep South than Upper South states) and was partially explained by intervening socioeconomic factors. In models accounting for spatial autocorrelation, there was no association between slave concentration and heart disease mortality decline for Whites.

CONCLUSIONS

Nearly 50 years of declining heart disease mortality is a major public health success, but one marked by uneven progress by place and race. At the county level, progress in heart disease mortality reduction among Blacks is associated with place-based historical legacy of slavery. Effective and equitable public health prevention efforts should consider the historical context of place and the social and economic institutions that may play a role in facilitating or impeding diffusion of prevention efforts thereby producing heart healthy places and populations. Graphical abstract.

Metabolic Syndrome Risks Following the Great Recession in Rural Black Young Adults

Background

Some of the country's highest rates of morbidity and mortality from cardiovascular disease are found in lower‐income black communities in the rural Southeast. Research suggests these disparities originate in the early decades of life, and partly reflect the influence of broader socioeconomic forces acting on behavioral and biological processes that accelerate cardiovascular disease progression. However, this hypothesis has not been tested explicitly. Here, we examine metabolic syndrome (MetS) in rural black young adults as a function of their family's economic conditions before and after the Great Recession.

Methods and Results

In an ongoing prospective study, we followed 328 black youth from rural Georgia, who were 16 to 17 years old when the Great Recession began. When youth were 25, we assessed MetS prevalence using the International Diabetes Federation's guidelines. The sample's overall MetS prevalence was 18.6%, but rates varied depending on family economic trajectory from before to after the Great Recession. MetS prevalence was lowest (10.4%) among youth whose families maintained stable low‐income conditions across the Recession. It was intermediate (21.8%) among downwardly mobile youth (ie, those whose families were lower income before the Recession, but slipped into poverty). The highest MetS rates (27.5%) were among youth whose families began the Recession in poverty, and sank into more meager conditions afterwards. The same patterns were observed with 3 alternative MetS definitions.

Conclusions

These patterns suggest that broader economic forces shape cardiometabolic risk in young blacks, and may exacerbate disparities already present in this community.

The Delivery Science Rapid Analysis Program: A Research and Operational Partnership at Kaiser Permanente Northern California

Introduction

Health care researchers and delivery system leaders share a common mission to improve health care quality and outcomes. However, differing timelines, incentives, and priorities are often a barrier to research and operational partnerships. In addition, few funding mechanisms exist to generate and solicit analytic questions that are of interest to both research and to operations within health care settings, and provide rapid results that can be used to improve practice and outcomes.

Methods

The Delivery Science Rapid Analysis Program (RAP) was formed in 2013 within the Kaiser Permanente Northern California Division of Research, sponsored by The Permanente Medical Group. A steering committee consisting of both researchers and clinical leaders solicits and reviews proposals for rapid analytic projects that will use existing data and are feasible within 6 months and with up to $30,000 (approximately 25%–50% full‐time equivalent) of programmer/analyst effort. Review criteria include the importance of the analytic question for both research and operations, and the potential for the project to have a significant impact on care delivery within 12 months of completion.

Results

The RAP funded 5 research and operational analytic projects between 2013 and 2017. These projects spanned a wide range of clinical areas, including lupus, pediatric obesity, diabetes, e‐cigarette use, and hypertension. The hypertension RAP project, which focused on optimizing thiazide prescribing in Black/African American patients with hypertension, led to new insights that inform an equitable care quality metric designed to reduce blood pressure control disparities throughout the Kaiser Permanente Northern California region.

Conclusions

Programs that actively encourage research and operational analytic partnerships have significant potential to improve care, enhance research collaborations, and contribute to the building and sustaining of learning health systems.

Trends in mortality rates by subtypes of heart disease in Mississippi, 1980-2013

BACKGROUND

Heart disease (HD) is the leading cause of death among Mississippians. However, trends in mortality rates for HD subtypes in Mississippi have not been adequately described. This study examined trends in mortality rates for HD subtypes among adults in Mississippi from 1980 through 2013.

METHODS

We used Mississippi Vital Statistics data to calculate age-specific mortality rates for HD subtypes for Mississippians age 35 and older. Cases were identified via underlying cause of death codes from the International Classification of Diseases, Ninth Revision (ICD-9) and Tenth Revision (ICD-10). We used Joinpoint software to calculate the average annual percent change (AAPC) in mortality rates for HD subtypes by race, sex, and age group.

RESULTS

Overall, the age-adjusted coronary heart disease (CHD) mortality rate among Mississippi adults decreased by 62.7% between 1980 and 2013, with an AAPC of -3.0% (95% CI -3.7 to -2.3), while the age-adjusted heart failure mortality rate increased by 66.7%, with an AAPC of 1.4% (95% CI 0.5 to 2.3). Trends varied across HD subtypes: Annual rates of hypertensive HD mortality increased significantly for men, for individuals age 35 to 54, and for individuals age 75 and older. CHD mortality experienced a significant annual decrease among all race, sex, and age subgroups, while heart failure increased significantly among women, whites, and individuals age 75 and older.

CONCLUSIONS

From 1980 to 2013, CHD mortality decreased significantly while heart failure mortality increased significantly among adult Mississippians. However, HD subtype trends differed by race, sex, and age group.

Opportunities for improving cardiovascular health outcomes in adults younger than 65 years with guideline-recommended statin therapy

The impact of age, race/ethnicity, healthcare insurance, and selected clinical variables on statin-preventable ASCVD were quantified in adults aged 21 to 79 years from National Health and Nutrition Examination Surveys 2007-2012 using the 2013 American College of Cardiology/American Heart Association guideline on the treatment of cholesterol. Among ≈42.4 million statin-eligible, untreated adults, 52.6% were hypertensive and 71% were younger than 65 years. Of ≈232 000 statin-preventable ASCVD events annually, most occur in individuals younger than 65 years, with higher proportions in blacks and Hispanics than whites (73.0% and 69.2% vs 56.9%, respectively; P<.01). Among adults younger than 65 years, the ratio of statin-eligible but untreated to statin-treated adults was higher in blacks and Hispanics than whites (3.0 and 2.9 vs 1.3, respectively; P<.01), and blacks, men, hypertensives, and cigarette smokers were more likely to be statin eligible than their statin-ineligible counterparts by multivariable logistic regression. Two thirds of untreated statin-eligible adults had two or more healthcare visits per year. Identifying and treating more statin-eligible adults in the healthcare system could improve cardiovascular health equity.

Mortality Among Black Men in the USA

IMPORTANCE

Black men have the lowest life expectancy of all major ethnic-sex populations in the USA, yet no recent studies have comprehensively examined black male mortality.

OBJECTIVE

The purpose of this study was to analyze recent mortality trends for black men, including black to white (B to W) disparities.

DESIGN

The study design was national mortality surveillance for 2000 to 2014.

SETTING

The setting was the USA.

POPULATION

All black non-Hispanic males aged ≥15 years old in the USA, including institutionalized persons, were included.

EXPOSURE

The 15 leading causes of death were analyzed.

MAIN OUTCOMES AND MEASURES

Linear regression of log-transformed annual age-adjusted death rates was used to calculate average annual percent change (AAPC) in mortality. Black to white (B to W) disparity rate ratios (RR) and 95% confidence intervals (CI) were compared for 2000 and 2014. The most recent available social and economic profile data were obtained from the U.S. Census of Population.

RESULTS

The top five causes of death for black men in 2014, with percentage of total deaths, were (1) heart disease (24.8%), (2) cancer (23.0%), (3) unintentional injuries (5.8%), (4) stroke (5.1%), and (5) homicide (4.3%). Significant mortality declines for 12 of the 15 leading causes occurred through 2014, with the strongest decline for HIV/AIDS (AAPC -8.0, 95% CI -8.8 to -7.1). Only Alzheimer's disease, ranked #15, significantly increased (AAPC +2.5, 95% CI +1.4 to +3.7). Significant black disadvantage persisted for 10 of the 15 leading causes in 2014, including homicide (RR = 10.43, 95% CI 9.98 to 10.89), HIV/AIDS (RR = 8.01, 95% CI 7.50 to 8.54), diabetes (RR = 1.88, 95% CI 1.82 to 1.93), and stroke (RR = 1.61, 95% CI 1.57 to 1.65). The B to W disparity did not improve for heart disease (RR 1.24 in 2000 vs. RR 1.23 in 2014), but did improve for cancer (RR 1.39 in 2000 vs. 1.20 in 2014). Death rates were significantly lower in black men for five causes, including unintentional injuries (RR = 0.83, 95% CI 0.80 to 0.84), chronic lower respiratory diseases (RR = 0.75, 95% CI 0.73 to 0.78), and suicide (RR = 0.37, 95% CI 0.35 to 0.39).

CONCLUSIONS AND RELEVANCE

Total mortality significantly declined for black men from 2000 to 2014, and the overall B to W disparity narrowed to RR = 1.21 (95% CI 1.20 to 1.23) in 2014. However, significant black disadvantages relative to white men persisted for 10 leading causes of death.

Regional differences in mortality, hospital discharges and primary care contacts for cardiovascular disease

Aims: Surveillance of geographical variations in cardiovascular health is important in order to achieve the objectives of reducing regional health disparities. We aimed to explore differences in cardiovascular disease (CVD) mortality and prevalence of CVD diagnoses made in primary and in-patient care, as well as risk factor distribution by geographic regions (urban/rural) in Iceland. Methods: From nationwide health registers, we obtained data on CVD mortalities ( N = 7113), primary healthcare CVD contacts ( N = 58,246) and hospital CVD discharges ( N = 14,039), as well as data on CVD risk factors from a national health survey ( N = 5909; response rate 60.3%). Age-standardised annual mortality, primary healthcare contact and hospital discharge rates due to CVD were calculated per 100,000 population inside (urban) and outside (rural) the Capital Area (CA). Logistic regression was used to explore regional differences in CVD risk factors. Results: We observed slightly higher total CVD mortality rates among women outside compared to inside the CA (Standardised Rate Ratio (SRR) 1.06 (95% confidence interval (CI) 1.05–1.07)), particularly due to atrial fibrillation (SRR 1.47 (95% CI 1.46–1.48)), heart failure (SRR 1.29 (95% CI 1.27–1.31)) and ischemic heart disease (SRR 1.11 (95% CI 1.10–1.12)), while reduced mortality risk for cerebrovascular disease (SRR 0.81 (95% CI 0.80–0.83)). The rates of hospital discharges and primary care contacts for these diseases, as well as prevalence of several modifiable risk factors, were generally higher outside the CA, particularly among women. Conclusions:The higher prevalence of modifiable risk factors and CVD in rural areas, especially among women, calls for refined treatment and health-promoting efforts in rural areas.

Trends in Heart Disease Mortality among Mississippi Adults over Three Decades, 1980-2013

Heart disease (HD) remains the leading cause of death among Mississippians; however, despite the importance of the condition, trends in HD mortality in Mississippi have not been adequately explored. This study examined trends in HD mortality among adults in Mississippi from 1980 through 2013 and further examined these trends by race and sex. We used data from Mississippi Vital Statistics (1980-2013) to calculate age-adjusted HD mortality rates for Mississippians age 25 or older. Cases were identified using underlying cause of death codes from the International Classification of Diseases, Ninth Revision (ICD-9: 390-398, 402, 404-429) and Tenth Revision (ICD-10), including I00-I09, I11, I13, and I20-I51. Joinpoint software was used to calculate the average annual percent change in HD mortality rates for the overall population and by race and sex. Overall, the age-adjusted HD mortality rate among Mississippi adults decreased by 36.5% between 1980 and 2013, with an average annual percent change of -1.60% (95% CI -2.00 to -1.30). This trend varied across subgroups: HD mortality rates experienced an average annual change of -1.34% (95% CI -1.98 to -0.69) for black adults; -1.60% (95% CI -1.74 to -1.46) for white adults; -1.30% (95% CI -1.50 to -1.10) for all women, and -1.90% (95% -2.20 to -1.50) for all men. From 1980 to 2013, there was a continuous decrease in HD mortality among adult Mississippians. However, the magnitude of this reduction differed by race and sex.

Sex-Based Disparities in Incidence, Treatment, and Outcomes of Cardiac Arrest in the United States, 2003-2012

BACKGROUND

Recent studies have shown improving survival after cardiac arrest. However, data regarding sex-based disparities in treatment and outcomes after cardiac arrest are limited.

METHODS AND RESULTS

We performed a retrospective analysis of all patients suffering cardiac arrest between 2003 and 2012 using the Nationwide Inpatient Sample database. Annual rates of cardiac arrest, rates of utilization of coronary angiography/percutaneous coronary interventions/targeted temperature management, and sex-based outcomes after cardiac arrest were examined. Among a total of 1 436 052 discharge records analyzed for cardiac arrest patients, 45.4% (n=651 745) were females. Women were less likely to present with ventricular tachycardia/ventricular fibrillation arrests compared with men throughout the study period. The annual rates of cardiac arrests have increased from 2003 to 2012 by 14.0% (Ptrend<0.001) and ventricular tachycardia/ventricular fibrillation arrests have increased by 25.9% (Ptrend<0.001). Women were less likely to undergo coronary angiography, percutaneous coronary interventions, or targeted temperature management in both ventricular tachycardia/ventricular fibrillation and pulseless electrical activity/asystole arrests. Over a 10-year study period, there was a significant decrease in in-hospital mortality in women (from 69.1% to 60.9%, Ptrend<0.001) and men (from 67.2% to 58.6%, Ptrend<0.001) after cardiac arrest. In-hospital mortality was significantly higher in women compared with men (64.0% versus 61.4%; adjusted odds ratio 1.02, P<0.001), particularly in the ventricular tachycardia/ventricular fibrillation arrest cohort (49.4% versus 45.6%; adjusted odds ratio 1.11, P<0.001).

CONCLUSIONS

Women presenting with cardiac arrests are less likely to undergo therapeutic procedures, including coronary angiography, percutaneous coronary interventions, and targeted temperature management. Despite trends in improving survival after cardiac arrest over 10 years, women continue to have higher in-hospital mortality when compared with men.

Changes in the Geographic Patterns of Heart Disease Mortality in the United States: 1973 to 2010

BACKGROUND

Although many studies have documented the dramatic declines in heart disease mortality in the United States at the national level, little attention has been given to the temporal changes in the geographic patterns of heart disease mortality.

METHODS AND RESULTS

Age-adjusted and spatially smoothed county-level heart disease death rates were calculated for 2-year intervals from 1973 to 1974 to 2009 to 2010 for those aged ≥35 years. Heart disease deaths were defined according to the International Classification of Diseases codes for diseases of the heart in the eighth, ninth, and tenth revisions of the International Classification of Diseases. A fully Bayesian spatiotemporal model was used to produce precise rate estimates, even in counties with small populations. A substantial shift in the concentration of high-rate counties from the Northeast to the Deep South was observed, along with a concentration of slow-decline counties in the South and a nearly 2-fold increase in the geographic inequality among counties.

CONCLUSIONS

The dramatic change in the geographic patterns of heart disease mortality during 40 years highlights the importance of small-area surveillance to reveal patterns that are hidden at the national level, gives communities the historical context for understanding their current burden of heart disease, and provides important clues for understanding the determinants of the geographic disparities in heart disease mortality.