Rural-Urban Differences in Cardiovascular Mortality in the US, 1999-2017

Regional and rural-urban patterns in the prevalence of diagnosed hypertension among older U.S. adults with diabetes, 2005-2017

BACKGROUND

Hypertension prevalence among the overall US adult population has been relatively stable during the last two decades. However, whether this stabilization has occurred across rural-urban communities and across different geographic regions is unknown, particularly among older adults with diabetes who are likely to have concomitant cardiovascular risk factors.

METHODS

This serial cross-sectional analysis used the 5% national sample of Medicare administrative claims data (n = 3,516,541) to examine temporal trends (2005-2017) in diagnosed hypertension among older adults with diabetes, across urban-rural communities and US census regions (Northeast, Midwest, South, and West). Joinpoint regression was used to obtain annual percent change (APC) in hypertension prevalence across rural-urban communities and geographic regions, and multivariable adjusted regression was used to assess associations between rural-urban communities and hypertension prevalence.

RESULTS

The APC in the prevalence of hypertension was higher during 2005-2010, and there was a slowdown in the increase during 2011-2017 across all regions, with significant variations across rural-urban communities within each of the regions. In the regression analysis, in the adjusted model, older adults living in non-core (most rural) areas in the Midwest (PR = 0.988, 95% CI: 0.981-0.995) and West (PR = 0.935, 95% CI: 0.923-0.946) had lower hypertension prevalence than their regional counterparts living in large central metro areas.

CONCLUSIONS

Although the magnitudes of these associations are small, differences in hypertension prevalence across rural-urban areas and geographic regions may have implications for targeted interventions to improve chronic disease prevention and management.

Rural versus urban outcomes following transcatheter aortic valve implantation: The importance of the heart team

BACKGROUND

Rural patients face known healthcare disparities and worse cardiovascular outcomes compared to urban residents due to inequitable access and delayed care. Few studies have assessed rural-urban differences in outcomes following Transcatheter Aortic Valve Implantation (TAVI). We compared short-term post-TAVI outcomes between rural and urban patients.

METHODS

We performed a retrospective analysis of n = 413 patients who underwent TAVI at our large academic medical center, between 2011 and 2020 (rural/urban patients = 93/320. Rural/urban males = 53/173). Primary outcomes were all-cause mortality and cardiovascular mortality. Secondary outcomes included stroke/transient ischemic attack, myocardial infarction, atrial fibrillation, acute kidney injury, bleeding, vascular complications, and length of stay.

RESULTS

The mean age in years was 77 [IQR 70-82] for rural patients and 78 [IQR 72-84] for urban patients. Baseline characteristics were similar between groups, except for a greater frequency of active smokers and diabetics as well as a greater body mass index in the rural group. There were no statistically significant differences in all-cause or cardiovascular mortality between the groups. There was also no statistically significant difference in secondary outcomes.

CONCLUSION

Rural and urban patients had no statistically significant difference in all-cause mortality or cardiovascular mortality following TAVI. Given its minimally invasive nature and quality-centric, multidisciplinary care provided by the TAVI Heart Teams, TAVI may be the preferred modality for the treatment of severe aortic stenosis in rural populations.

Risk of major adverse cardiovascular events in rural vs urban settings among patients with erectile dysfunction: a propensity-weighted retrospective cohort study of 430 621 men

BACKGROUND

The relationship between erectile dysfunction (ED) and cardiovascular (CV) events has been postulated, with ED being characterized as a potential harbinger of CV disease. Location of residence is another important consideration, as the impact of rural residence has been associated with worse health outcomes.

AIM

To investigate whether men from rural settings with ED are associated with a higher risk of major adverse CV events (MACEs).

METHODS

A propensity-weighted retrospective cohort study was conducted with provincial health administrative databases. ED was defined as having at least 2 ED prescriptions filled within 1 year. MACE was defined as the first hospitalization for an episode of acute myocardial infarction, heart failure, or stroke that resulted in a hospital visit >24 hours. We classified study groups into ED urban, ED rural, no ED urban, and no ED rural. A multiple logistic regression model was used to determine the propensity score. Stabilized inverse propensity treatment weighting was then applied to the propensity score.

OUTCOMES

A Cox proportional hazard model was used to examine our primary outcome of time to a MACE.

RESULTS

The median time to a MACE was 2731, 2635, 2441, and 2508 days for ED urban (n = 32 341), ED rural (n = 18 025), no ED rural (n = 146 358), and no ED urban (n = 233 897), respectively. The cohort with ED had a higher proportion of a MACE at 8.94% (n = 4503), as opposed to 4.58% (n = 17 416) for the group without ED. As compared with no ED urban, no ED rural was associated with higher risks of a MACE in stabilized time-varying comodels based on inverse probability treatment weighting (hazard ratio, 1.06-1.08). ED rural was associated with significantly higher risks of a MACE vs no ED rural, with the strength of the effect estimates increasing over time (hazard ratio, 1.10-1.74).

CLINICAL IMPLICATIONS

Findings highlight the need for physicians treating patients with ED to address CV risk factors for primary and secondary prevention of CV diseases.

STRENGTHS AND LIMITATIONS

This is the most extensive retrospective study demonstrating that ED is an independent risk factor for MACE. Due to limitations in data, we were unable to assess certain comorbidities, including obesity and smoking.

CONCLUSIONS

Our study confirms that ED is an independent risk factor for MACE. Rural men had a higher risk of MACE, with an even higher risk among those who reside rurally and are diagnosed with ED.

Rural/urban disparities in the trends and outcomes of peripartum cardiomyopathy in delivery hospitalizations

BACKGROUND

Rural-urban disparities in peripartum cardiomyopathy (PPCM) are not well known. We examined rural-urban differences in maternal, fetal, and cardiovascular outcomes in PPCM during delivery hospitalizations.

METHODS

We used 2003-2020 data from the National Inpatient Sample for delivery hospitalizations in individuals with PPCM. The 9th and 10th editions of the International Classification of Diseases were used to identify PPCM and cardiovascular, maternal, and fetal outcomes. Rural and urban hospitalizations for PPCM were 1:1 propensity score-matched using relevant clinical and sociodemographic variables. Odds of in-hospital mortality were assessed using logistic regression.

RESULTS

Among 72,880 delivery hospitalizations with PPCM, 4,571 occurred in rural locations, while 68,309 occurred in urban locations. After propensity matching, there were a total of 4,571 rural-urban pairs. There was significantly higher in-hospital mortality in urban compared to rural hospitalizations (adjusted OR 1.54, 95% CI 1.10-1.89). Urban PPCM hospitalizations had significantly higher cardiogenic shock (2.9% vs. 1.3%), mechanical circulatory support (1.0% vs. 0.6%), cardiac arrest (2.3% vs. 0.9%), and VT/VF (4.5% vs. 2.1%, all p <.05). Additionally, urban PPCM hospitalizations had worse maternal and fetal outcomes as compared to rural hospitalizations, including higher preterm delivery, gestational diabetes, and fetal death (all p<.05). Notably, significantly more rural individuals were transferred to a short-term hospital (including tertiary care centers) compared to urban individuals (13.5% vs. 3.2%, p<.0001).

CONCLUSIONS

There are significant rural-urban disparities in delivery hospitalizations with PPCM. Worse outcomes were associated with urban hospitalizations, while rural PPCM hospitalizations were associated with increased transfers, suggesting inadequate resources and advanced sickness.

Rural Veterans' Experiences with Social Risk Factors: Impacts, Challenges, and Care System Recommendations

BACKGROUND

Social risk factors, such as food insecurity and financial needs, are associated with increased risk of cardiovascular diseases, health conditions that are highly prevalent in rural populations. A better understanding of rural Veterans' experiences with social risk factors can inform expansion of Veterans Health Administration (VHA) efforts to address social needs.

OBJECTIVE

To examine social risk and need from rural Veterans' lived experiences and develop recommendations for VHA to address social needs.

DESIGN

We conducted semi-structured interviews with participants purposively sampled for racial diversity. The interview guide was informed by Andersen's Behavioral Model of Health Services Use and the Outcomes from Addressing Social Determinants of Health in Systems framework.

PARTICIPANTS

Rural Veterans with or at risk of cardiovascular disease who participated in a parent survey and agreed to be recontacted.

APPROACH

Interviews were recorded and transcribed. We analyzed transcripts using directed qualitative content analysis to identify themes.

KEY RESULTS

Interviews (n = 29) took place from March to June 2022. We identified four themes: (1) Social needs can impact access to healthcare, (2) Structural factors can make it difficult to get help for social needs, (3) Some Veterans are reluctant to seek help, and (4) Veterans recommended enhancing resource dissemination and navigation support.

CONCLUSIONS

VHA interventions should include active dissemination of information on social needs resources and navigation support to help Veterans access resources. Community-based organizations (e.g., Veteran Service Organizations) could be key partners in the design and implementation of future social need interventions.

Association Between Pharmacy Proximity With Cardiovascular Medication Use and Risk Factor Control in the United States

BACKGROUND

Poor neighborhood-level access to health care, including community pharmacies, contributes to cardiovascular disparities in the United States. The authors quantified the association between pharmacy proximity, antihypertensive and statin use, and blood pressure (BP) and low-density lipoprotein cholesterol (LDL-C) among a large, diverse US cohort.

METHODS AND RESULTS

A cross-sectional analysis of Black and White participants in the REGARDS (Reasons for Geographic and Racial Differences in Stroke) study during 2013 to 2016 was conducted. The authors designated pharmacy proximity by census tract using road network analysis with population-weighted centroids within a 10-minute drive time, with 5- and 20-minute sensitivity analyses. Pill bottle review measured medication use, and BP and LDL-C were assessed using standard methods. Poisson regression was used to quantify the association between pharmacy proximity with medication use and BP control, and linear regression for LDL-C. Among 16 150 REGARDS participants between 2013 and 2016, 8319 (51.5%) and 8569 (53.1%) had an indication for antihypertensive and statin medication, respectively, and pharmacy proximity data. The authors did not find a consistent association between living in a census tract with higher pharmacy proximity and antihypertensive medication use, BP control, or statin medication use and LDL-C levels, regardless of whether the area was rural, suburban, or urban. Results were similar among the 5- and 20-minute drive-time analyses.

CONCLUSIONS

Living in a low pharmacy proximity census tract may be associated with antihypertensive and statin medication use, or with BP control and LDL-C levels. Although, in this US cohort, outcomes were similar for adults living in high or low pharmacy proximity census tracts.

The role of comorbidities, medications, and social determinants of health in understanding urban-rural outcome differences among patients with heart failure

PURPOSE

There is now a 20% disparity in all-cause, excess deaths between urban and rural areas, much of which is driven by disparities in cardiovascular death. We sought to explain the sources of these disparities for Medicare beneficiaries with heart failure with reduced ejection fraction (HFrEF).

METHODS

Using a sample of Medicare Parts A, B, and D, we created a cohort of 389,528 fee-for-service beneficiaries with at least 1 heart failure hospitalization from 2008 to 2017. The primary outcome was 30-day mortality after discharge; 1-year mortality, readmissions, and return emergency room (ER) admissions were secondary outcomes. We used hierarchical, logistic regression modeling to determine the contribution of comorbidities, guideline-directed medical therapy (GDMT), and social determinants of health (SDOH) to outcomes.

RESULTS

Thirty-day mortality rates after hospital discharge were 6.3% in rural areas compared to 5.7% in urban regions (P < .001); after adjusting for patient health and GDMT receipt, the 30-day mortality odds ratio for rural residence was 1.201 (95% CI 1.164-1.239). Adding the SDOH measure reduced the odds ratio somewhat (1.140, 95% CI 1.103-1.178) but a gap remained. Readmission rates in rural areas were consistently lower for all model specifications, while ER admissions were consistently higher.

CONCLUSIONS

Among patients with HFrEF, living in a rural area is associated with an increased risk of death and return ER visits within 30 days of discharge from HF hospitalization. Differences in SDOH appear to partially explain mortality differences but the remaining gap may be the consequence of rural-urban differences in HF treatment.

Closing the Last Mile Gap in Access to Multimodality Imaging in Rural Settings: Design of the Imaging Core of the Risk Underlying Rural Areas Longitudinal Study

Achieving optimal cardiovascular health in rural populations can be challenging for several reasons including decreased access to care with limited availability of imaging modalities, specialist physicians, and other important health care team members. Therefore, innovative solutions are needed to optimize health care and address cardiovascular health disparities in rural areas. Mobile examination units can bring imaging technology to underserved or remote communities with limited access to health care services. Mobile examination units can be equipped with a wide array of assessment tools and multiple imaging modalities such as computed tomography scanning and echocardiography. The detailed structural assessment of cardiovascular and lung pathology, as well as the detection of extracardiac pathology afforded by computed tomography imaging combined with the functional and hemodynamic assessments acquired by echocardiography, yield deep phenotyping of heart and lung disease for populations historically underrepresented in epidemiological studies. Moreover, by bringing the mobile examination unit to local communities, innovative approaches are now possible including engagement with local professionals to perform these imaging assessments, thereby augmenting local expertise and experience. However, several challenges exist before mobile examination unit-based examinations can be effectively integrated into the rural health care setting including standardizing acquisition protocols, maintaining consistent image quality, and addressing ethical and privacy considerations. Herein, we discuss the potential importance of cardiac multimodality imaging to improve cardiovascular health in rural regions, outline the emerging experience in this field, highlight important current challenges, and offer solutions based on our experience in the RURAL (Risk Underlying Rural Areas Longitudinal) cohort study.

Food Environment Quality and Cardiovascular Disease Mortality in the United States: a County-Level Analysis from 2017 to 2019

BACKGROUND

Upstream socioeconomic circumstances including food insecurity and food desert are important drivers of community-level health disparities in cardiovascular mortality let alone traditional risk factors. The study assessed the association between differences in food environment quality and cardiovascular mortality in US adults.

DESIGN

Retrospective analysis of the association between cardiovascular mortality among US adults aged 45 and above and food environment quality, measured as the food environment index (FEI), in 2615 US counties. FEI was measured by equal weights of food insecurity (limited access to a reliable food source) and food desert (limited access to healthy food), ranging from 0 (worst) to 10 (best). Age-adjusted cardiovascular mortality rates per 100,000 adults aged 45 and above in the calendar year 2017-2019. County-level association between CVD mortality rate and FEI was modeled using generalized linear regression. Data were weighted using county population.

RESULT

Median CVD deaths per 100,000 population were 645.4 (IQR 561.5, 747.0) among adults aged 45 years and above across US counties in 2017-2019. About 12.8% (IQR 10.7%, 15.1%) of residents were food insecure and 6.3% (IQR 3.6%, 9.9%) were living in food desert areas. Comparing counties by FEI quartiles, the CVD mortality rate was higher in the least healthy FE counties (704.3 vs 598.6 deaths per 100,000 population) compared to the healthiest FE counties. One unit increase in FEI was associated with - 12.95 CVD deaths/100,000 population. In the subgroup analysis of counties with higher income inequality, the healthiest food environment was associated with 46.4 lower CVD deaths/100,000 population than the least healthy food environment. One unit increase in FEI in counties with higher income inequality was associated with a fivefold decrease in CVD mortality difference in African American counties (- 18.4 deaths/100,000 population) when compared to non-African American counties (- 3.63 deaths/100,000 population).

CONCLUSION

In this retrospective multi-county study in the USA, a higher food environment index was significantly associated with lower cardiovascular mortality.

Rural and Urban Differences in Hypertension Management Through Telehealth Before and During the COVID-19 Pandemic Among Commercially Insured Patients

BACKGROUND

The COVID-19 pandemic prompted a rapid increase in telehealth use. However, limited evidence exists on how rural and urban residents used telehealth and in-person outpatient services to manage hypertension during the pandemic.

METHODS

This longitudinal study analyzed 701,410 US adults (18-64 years) in the MarketScan Commercial Claims Database, who were continuously enrolled from January 2017 through March 2022. We documented monthly numbers of hypertension-related telehealth and in-person outpatient visits (per 100 individuals), and the proportion of telehealth visits among all hypertension-related outpatient visits, from January 2019 through March 2022. We used Welch's two-tail t-test to differentiate monthly estimates by rural-urban status and month-to-month changes.

RESULTS

From February through April 2020, the monthly number of hypertension-related telehealth visits per 100 individuals increased from 0.01 to 6.05 (P < 0.001) for urban residents and from 0.01 to 4.56 (P < 0.001) for rural residents. Hypertension-related in-person visits decreased from 20.12 to 8.30 (P < 0.001) for urban residents and from 20.48 to 10.15 (P < 0.001) for rural residents. The proportion of hypertension-related telehealth visits increased from 0.04% to 42.15% (P < 0.001) for urban residents and from 0.06% to 30.98% (P < 0.001) for rural residents. From March 2020 to March 2022, the monthly average of the proportions of hypertension-related telehealth visits was higher for urban residents than for rural residents (10.19% vs. 6.96%; P < 0.001).

CONCLUSIONS

Data show that rural residents were less likely to use telehealth for hypertension management. Understanding trends in hypertension-related telehealth utilization can highlight disparities in the sustained use of telehealth to advance accessible health care.

Mortality post in-patient catheter ablation of atrial fibrillation in rural versus urban areas: Insights from national inpatient sample database

BACKGROUND

A growing body of evidence is supportive of early atrial fibrillation (AF) ablation to maintain sinus rhythm. Disparities in health care between rural and urban areas in the United States are well known. Catheter ablation (CA) of AF is a complex procedure and its outcomes among rural versus urban areas has not been studied in the past.

METHODS

The national inpatient sample database 2016-2020 was queried for all hospitalization with the primary diagnosis of AF who underwent AF catheter ablation at the index hospitalization. Then, hospitalizations were stratified into rural versus urban. The primary outcome was in-hospital mortality. Secondary outcomes were total hospitalization costs and likelihood for longer length of stay.

RESULTS

A total of 78,735 patients underwent inpatient CA of AF between January 2016 and December 2020, mean age was 68.5 ± 11 with 44 % being females. 27,180 (35 %) CA were performed in rural areas, while the remaining CA  51,555 (65 %) were done in urban areas. While, there was very low risk of mortality, patients who underwent CA in rural areas had more comorbidities and also was associated with a 79 % increase in post-procedural in-hospital mortality compared with urban areas (aOR 1.79, 0.8 % vs 0.4 %, CI: 1.15-2.78, P < 0.01). CA of AF in rural areas had a longer length of hospital stay (aOR 1.11, 4.21 vs 3.79 days, 95 % CI: 1.02-1.2, P = 0.02), lower overall cost compared with urban areas (49,698 ± 1251 vs. $53,252 ± 1339, P = 0.03). Multivariate regression analysis showed end stage renal disease and congestive heart failure were independent risk factors associated with increase in post CA in-hospital mortality exceeding two-fold.

CONCLUSION

Inpatient CA of AF in rural areas was associated with higher in-hospital mortality, longer length of stay and a lower overall cost when compared with urban areas.

Association of sleep duration with atrial fibrillation/flutter mortality in the United States: a cross-sectional analysis

BACKGROUND

The association between sleep duration and atrial fibrillation risk is poorly understood, with inconsistent findings reported by several studies. We sought to assess the association between long sleep duration and mortality due to atrial fibrillation/atrial flutter (AF/AFL).

METHODS

The 2016-2020 Centers for Disease Control and Prevention (CDC) Wide-Ranging Online Data for Epidemiologic Research dataset was used to identify death records secondary to AF/AFL in the United States population. We used the 2018 Behavioral Risk Factor Surveillance System (BRFSS) dataset of sleep duration at the county level. All counties were grouped into quartiles based on the percentage of their population with long sleep duration (i.e., ≥ 7 h), Q1 being the lowest and Q4 the highest quartile. Age-adjusted mortality rates (AAMR) were calculated for each quartile. County Health Rankings for Texas were used to adjust the AAMR for comorbidities using linear regression.

RESULTS

Overall, the AAMR for AF/AFL were highest in Q4 (65.9 [95% CI, 65.5-66.2] per 100,000 person-years) and lowest in Q1 (52.3 [95% CI, 52.1-52.5] per 100,000 person-years). The AAMR for AF/AFL increased stepwise from the lowest to highest quartiles of the percentage population with long sleep duration. After adjustment for the county health ranks of Texas, long sleep duration remained associated with a significantly higher AAMR (coefficient 220.6 (95% CI, 21.53-419.72, p-value = 0.03).

CONCLUSIONS

Long sleep duration was associated with higher AF/AFL mortality. Increased focus on risk reduction for AF, public awareness about the importance of optimal sleep duration, and further research to elucidate a potential causal relationship between sleep duration and AF are warranted.

Social disparities in cardiovascular mortality of patients with cancer in the USA between 1999 and 2019

Background

Temporal trends of the impact of social determinants on cardiovascular outcomes of cancer patients has not been previously studied.

Objectives

This study examined social disparities in cardiovascular mortality of people with and without cancer in the US population between 1999 and 2019.

Methods

Primary cardiovascular deaths were identified from the Multiple Cause of Death database and grouped by cancer status. The cancer cohort was subcategorized into breast, lung, prostate, colorectal, and haematological. The number of cardiovascular deaths, crude cardiovascular mortality rate, cardiovascular age-adjusted mortality rate (AAMR), and percentage change in cardiovascular AAMR were calculated by cancer status and cancer type, and stratified by sex, race, ethnicity, and urban-rural setting.

Results

17.9 million cardiovascular deaths were analysed. Of these, 572,222 occurred in patients with a record of cancer. The cancer cohort were older and included more men and White racial groups. Regardless of cancer status, cardiovascular AAMR was higher in men, rural settings, and Black or African American races. Cardiovascular AAMR declined over time, with greater reduction in those with cancer (-51.6% vs -38.3%); the greatest reductions were in colorectal (-68.4%), prostate (-60.0%), and breast (-58.8%) cancers. Sex, race, and ethnic disparities reduced over time, with greater narrowing in the cancer cohort. There was increase in urban-rural disparities, which appeared greater in those with cancer.

Conclusions

While most social disparities narrowed over time, urban-rural disparities widened, with greater increase in those with cancer. Healthcare plans should incorporate strategies for reduction of health inequality equitable access to cardio-oncology services.

Alcoholic cardiomyopathy mortality and social vulnerability index: A nationwide cross-sectional analysis

Background

Social vulnerability index (SVI) plays a pivotal role in the outcomes of cardiovascular diseases and prevalence of alcohol use. We evaluated the impact of the SVI on alcoholic cardiomyopathy (ACM) mortality.

Methods

Mortality data from 1999 to 2020 and the SVI were obtained from CDC databases. Demographics such as age, sex, race/ethnicity, and geographic residence were obtained from death certificates. The SVI was divided into quartiles, with the fourth quartile (Q4) representing the highest vulnerability. Age-adjusted mortality rates across SVI quartiles were compared, and excess deaths due to higher SVI were calculated. Risk ratios were calculated using univariable Poisson regression.

Results

A total of 2779 deaths were seen in Q4 compared to 1672 deaths in Q1. Higher SVI accounted for 1107 excess-deaths in the US and 0.05 excess deaths per 100,000 person-years (RR: 1.38). Similar trends were seen for both male (RR: 1.43) and female (RR: 1.67) populations. Higher SVI accounted for 0.06 excess deaths per 100,000 person-years in Hispanic populations (RR: 2.50) and 0.06 excess deaths per 100,000 person-years in non-Hispanic populations (RR: 1.46).

Conclusion

Counties with elevated SVI experienced higher ACM mortality rates. Recognizing the impact of SVI on ACM mortality can guide targeted interventions and public health strategies, emphasizing health equity and minimizing disparities.

Improvements in dietary intake, behaviors, and psychosocial measures in a community-randomized cardiovascular disease risk reduction intervention: Strong Hearts, Healthy Communities 2.0

BACKGROUND

Cardiovascular disease (CVD) prevalence has disproportionately risen among midlife and older female adults of rural communities, partly due to poor diet and diet-related behaviors and psychosocial factors that impede healthy eating.

OBJECTIVES

This study aimed to evaluate the impact of Strong Hearts Healthy Communities 2.0 (SHHC-2.0) on secondary diet-related outcomes between intervention and control participants that align with the dietary goal and behavioral aims of the SHHC-2.0, a CVD risk reduction program.

METHODS

A community-randomized controlled trial was conducted in rural, medically underserved communities. Participants were female adults ≥40 y who were classified as obese or both overweight and sedentary. Communities were randomized to SHHC-2.0 intervention (n = 5 communities; n = 87 participants) or control (with delayed intervention) (n = 6 communities; n = 95 participants). SHHC-2.0 consisted of 24 wk of twice-weekly experiential nutrition education and group-based physical activity classes led by local health educators. Changes between baseline and end point (24 wk) in dietary intake (24-h recalls), dietary behaviors (e.g., Rapid Eating Assessment for Participants-Short Version [REAP-S] scores) and diet-related psychosocial measures (e.g., Three Factor Eating questionnaire) between groups were analyzed using linear mixed-effects multilevel models.

RESULTS

At 24 wk, participants from the 5 intervention communities, compared with controls, consumed fewer calories (mean difference [MD]= -211 kcal, 95% CI: -412, -110, P = 0.039), improved overall dietary patterns measured by REAP-S scores (MD: 3.9; 95% CI: 2.26, 5.6; P < 0.001), and improved psychosocial measures (healthy eating attitudes, uncontrolled eating, cognitive restraint, and emotional eating).

CONCLUSIONS

SHHC-2.0 has strong potential to improve diet patterns and diet-related psychosocial wellbeing consistent with improved cardiovascular health. This trial was registered at www.

CLINICALTRIALS

gov as NCT03059472.

Patterns, Prognostic Implications, and Rural-Urban Disparities in Optimal GDMT Following HFrEF Diagnosis Among Medicare Beneficiaries

BACKGROUND

Patterns and disparities in guideline-directed medical therapy (GDMT) uptake for heart failure with reduced ejection fraction (HFrEF) across rural vs urban regions are not well described.

OBJECTIVES

This study aims to evaluate patterns, prognostic implications, and rural-urban differences in GDMT use among Medicare beneficiaries following new-onset HFrEF.

METHODS

Patients with a diagnosis of new-onset HFrEF in a 5% Medicare sample with available data for Part D medication use were identified from January 2015 through December 2020. The primary exposure was residence in rural vs urban zip codes. Optimal triple GDMT was defined as ≥50% of the target daily dose of beta-blockers, ≥50% of the target daily dose of angiotensin-converting enzyme inhibitors/angiotensin receptor blocker or any dose of sacubitril/valsartan, and any dose of mineralocorticoid receptor antagonist. The association between the achievement of optimal GDMT over time following new-onset HFrEF diagnosis and risk of all-cause mortality and subsequent HF hospitalization was also evaluated using adjusted Cox models. The association between living in rural vs urban location and time to optimal GDMT achievement over a 12-month follow-up was assessed using cumulative incidence curves and adjusted Fine-Gray subdistribution hazard models.

RESULTS

A total of 41,296 patients (age: 76.7 years; 15.0% Black; 27.6% rural) were included. Optimal GDMT use over the 12-month follow-up was low, with 22.5% initiated on any dose of triple GDMT and 9.1% on optimal GDMT doses. Optimal GDMT on follow-up was significantly associated with a lower risk of death (HR: 0.89 [95% CI: 0.85-0.94]; P < 0.001) and subsequent HF hospitalization (HR: 0.93 [95% CI: 0.87-0.98]; P = 0.02). Optimal GDMT use at 12 months was significantly lower among patients living in rural (vs urban) areas (8.4% vs 9.3%; P = 0.02). In adjusted analysis, living in rural (vs urban) locations was associated with a significantly lower probability of achieving optimal GDMT (HR: 0.92 [95% CI: 0.86-0.98]; P = 0.01 Differences in optimal GDMT use following HFrEF diagnosis accounted for 16% of excess mortality risk among patients living in rural (vs urban) areas.

CONCLUSIONS

Use of optimal GDMT following new-onset HFrEF diagnosis is low, with substantially lower use noted among patients living in rural vs urban locations. Suboptimal GDMT use following new-onset HFrEF was associated with an increased risk of mortality and subsequent HF hospitalization.

A cross-sectional examination of post-myocardial infarction physical activity levels among US rural and urban residents: Findings from the 2017-2019 Behavioral Risk Factor Surveillance System

BACKGROUND

This study sought to examine the relationship between rural residence and physical activity levels among US myocardial infarction (MI) survivors.

METHODS

We conducted a cross-sectional study using nationally representative Behavioral Risk Factor Surveillance System surveys from 2017 and 2019. We determined the survey-weighted percentage of rural and urban MI survivors meeting US physical activity guidelines. Logistic regression models were used to examine the relationship between rural/urban residence and meeting physical activity guidelines, accounting for sociodemographic factors.

RESULTS

Our study included 22,732 MI survivors (37.3% rural residents). The percentage of rural MI survivors meeting physical activity guidelines (37.4%, 95% CI: 35.1%-39.7%) was significantly less than their urban counterparts (45.6%, 95% CI: 44.0%-47.2%). Rural residence was associated with a 28.8% (95% CI: 20.0%-36.7%) lower odds of meeting physical activity guidelines, with this changing to a 19.3% (95% CI: 9.3%-28.3%) lower odds after adjustment for sociodemographic factors.

CONCLUSIONS

A significant rural/urban disparity in physical activity levels exists among US MI survivors. Our findings support the need for further efforts to improve physical activity levels among rural MI survivors as part of successful secondary prevention in US high-MI burden rural areas.

Mediation by Fatalism of the Association Between Symptom Burden and Self-care Management in Patients With Heart Failure

BACKGROUND

Clinicians and researchers often assume that symptom burden is associated with self-care management (SCM) in patients with heart failure (HF). However, that association is often not borne out in simple regression analyses and may be because another variable mediates the association. Fatalism is an appropriate candidate for mediation and is the belief that circumstances are predetermined without opportunity for control by individuals.

OBJECTIVE

Our objective was to determine whether fatalism mediated the relationship of symptom burden with SCM among adults with HF.

METHODS

We conducted a secondary analysis (N = 95) from a clinical trial. We used Self-care of HF Index to measure SCM, the Memorial Symptom Assessment Scale-HF for symptom burden, and the Cardiovascular Disease Fatalism Instrument to measure fatalism. We used the PROCESS macro to evaluate mediation.

RESULTS

Symptom burden was not directly associated with SCM (effect coefficient [C'] = 0.0805; 95% confidence interval, -0.048 to 0.209; P = .217). There was, however, an indirect pathway between symptom burden and SCM through fatalism (ab = -0.040; 95% confidence interval, -0.097 to -0.002). Those with higher symptom burden were more fatalistic (a = 0.004, P = .015), and greater fatalism was associated with worse SCM (b = -9.132, P = .007).

CONCLUSION

Symptom burden, not directly associated with SCM, is associated through the mediator of fatalism. Interventions to improve SCM should include strategies to mitigate fatalistic views. Self-care management interventions should focus on promoting internal locus of control or increasing perceptions of perceived control to decrease fatalism and improve engagement in self-care.

Physical Activity Among Rural Men: Barriers and Preferences

INTRODUCTION

Physical activity positively affects health. Although 94% of Americans know the health benefits of regular physical activity, more than 75% do not achieve recommended levels. The objective of our study was to identify and define the key components of a physical activity intervention tailored to rural American men.

METHODS

We recruited rural men (N = 447) via Amazon's Mechanical Turk online platform to complete a needs assessment survey focused on their interest in a physical activity intervention, preferred intervention features, and potential intervention objectives. Data were summarized by using descriptive statistics. A cumulative logistic regression model examined associations between the men's perceived importance of physical activity to health and their interest in a physical activity intervention.

RESULTS

Almost all participants (97.7%) rated physical activity as "at least somewhat important" to their health, and 83.9% indicated they would be "at least somewhat interested" in participating in a physical activity intervention. On a scale of 1 (not at all a barrier) to 5 (very much a barrier), motivation (mean 3.4; 95% CI, 3.3-3.5), cold weather (mean, 3.4; 95% CI, 3.3-3.5), and tiredness (mean, 3.3; 95% CI, 3.2-3.4) were rated the biggest barriers to physical activity. Becoming fitter (54.1%) was the top reason for joining a physical activity program. Preferred delivery channels for receiving an intervention were mobile application (ranked from 1 being the most preferred and 9 being the least preferred: mean, 2.8; 95% CI, 2.70-3.09) and e-mail (mean, 4.2; 95% CI, 3.92-4.36). Rural men preferred interventions that taught them how to exercise and that could be done from home.

CONCLUSION

Our findings suggest US men in rural areas are receptive to physical activity programs. A systematic approach and a clear model of development are needed to tailor future physical activity interventions to the special needs of rural men.

Determining the association of rurality and cardiovascular disease among prostate cancer survivors

PURPOSE

Rural disparities in prostate cancer survivorship and cardiovascular disease remain. Prostate cancer treatment also contributes to worse cardiovascular disease outcomes. Our objective was to determine whether rural-urban differences in cardiovascular outcomes contribute to disparities in prostate cancer survivorship.

MATERIALS AND METHODS

Data were collected from the Utah Population Database. Rural and urban prostate cancer survivors were matched by diagnosis year and age. Cox proportional hazards models were used to estimate hazard ratios for cardiovascular disease (levels 1-3) based on rural-urban classification, while controlling for demographic and socioeconomic characteristics. We identified 3,379 rural and 16,253 urban prostate cancer survivors with a median follow-up of 9.3 years.

RESULTS

Results revealed that rural survivors had a lower risk of hypertension (HR 0.90), diseases of arteries (HR 0.92), and veins (HR 0.92) but a higher risk of congestive heart failure (HR 1.17). Interactions between level 2 cardiovascular diseases and rural/urban status, showed that diseases of the heart had a distinct between-group relationship for all-cause (P = 0.005) and cancer-specific mortality (P = 0.008).

CONCLUSIONS

This study revealed complex relationships between rural-urban status, cardiovascular disease, and prostate cancer. Rural survivors were less likely to be diagnosed with screen-detected cardiovascular disease but more likely to have heart failure. Further, the relationship between cardiovascular disease and survival was different between rural and urban survivors. It may be that our findings underscore differences in healthcare access where rural patients are less likely to be screened for preventable cardiovascular disease and have worse outcomes when they have a major cardiovascular event.

The effectiveness of interactive cardiac rehabilitation web applications versus usual care on programme completion in patients with cardiovascular disease: A systematic review and meta-analysis of randomised controlled trials

INTRODUCTION

Although available evidence demonstrates positive clinical outcomes for patients attending and completing cardiac rehabilitation, the effectiveness of interactive cardiac rehabilitation web applications on programme completion has not been systematically examined.

METHODS

This JBI systematic review of effects included studies measuring effectiveness of interactive cardiac rehabilitation web applications compared to telephone, and centre-based programmes. Outcome data were pooled under programme completion and clinical outcomes (body mass index, low-density lipoproteins, and blood pressure). Databases including MEDLINE (via Ovid), Cochrane Library, Scopus (via Elsevier) and CINAHL (via EBSCO) published in English were searched. Articles were screened and reviewed by two independent reviewers for inclusion, and the JBI critical appraisal tool and Grading of Recommendations Assessment, Development and Evaluation tool were applied to appraise and assess the certainty of the findings of the included studies. A meta-analysis of the primary and secondary outcomes used random effects models.

RESULTS

In total, nine studies involving 1175 participants who participated in web-based cardiac rehabilitation to usual care were identified. The mean critical appraisal tool score was 76 (standard deviation: 9.7) with all (100%) studies scoring >69%, and the certainty of evidence low. Web-based programmes were 43% more likely to be completed than usual care (risk ratio: 1.43; 95% confidence interval: 0.96, 2.13) There was no difference between groups for clinical outcomes.

DISCUSSION

Despite the relatively small number of studies, high heterogeneity and the limited outcome measures, the results appeared to favour web-based cardiac rehabilitation with regard to programme completion.

Twenty-Year Disparity Trends in United States Stroke Death Rate by Age, Race/Ethnicity, Geography, and Socioeconomic Status

BACKGROUND AND OBJECTIVES

In 2017, the Centers for Disease Control and Prevention (CDC) issued an alert that, after decades of consistent decline, the stroke death rate levelled off in 2013, particularly in younger individuals and without clear origin. The objective of this analysis was to understand whether social determinants of health have influenced trends in stroke mortality.

METHODS

We performed a longitudinal analysis of county-level ischemic and hemorrhagic stroke death rate per 100,000 adults from 1999 to 2018 using a Bayesian spatiotemporally smoothed CDC dataset stratified by age (35-64 years [younger] and 65 years or older [older]) and then by county-level social determinants of health. We reported stroke death rate by county and the percentage change in stroke death rate during 2014-2018 compared with that during 2009-2013.

RESULTS

We included data from 3,082 counties for younger individuals and 3,019 counties for older individuals. The stroke death rate began to increase for younger individuals in 2013 (p < 0.001), and the slope of the decrease in stroke death rate tapered for older individuals (p < 0.001). During the 20-year period of our study, counties with a high social deprivation index and ≥10% Black residents consistently had the highest rates of stroke death in both age groups. Comparing stroke death rate during 2014-2018 with that during 2009-2013, larger increases in younger individuals' stroke death rate were seen in counties with ≥90% (vs <90%) non-Hispanic White individuals (3.2% mean death rate change vs 1.7%, p < 0.001), rural (vs urban) populations (2.6% vs 2.0%, p = 0.019), low (vs high) proportion of medical insurance coverage (2.9% vs 1.9%, p = 0.002), and high (vs low) substance abuse and suicide mortality (2.8 vs 1.9%, p = 0.008; 3.3% vs 1.5%, p < 0.001). In contrast to the younger individuals, in older individuals, the associations with increased death rates were with more traditional social determinants of health such as the social deprivation index, urban location, unemployment rate, and proportion of Black race and Hispanic ethnicity residents.

DISCUSSION

Improvements in the stroke death rate in the United States are slowing and even reversing in younger individuals and many US counties. County-level increases in stroke death rate were associated with distinct social determinants of health for younger vs older individuals. These findings may inform targeted public health strategies.

Associations of Urban Built Environment with Cardiovascular Risks and Mortality: a Systematic Review

With rapid urbanization, built environment has emerged as a set of modifiable factors of cardiovascular disease (CVD) risks. We conducted a systematic review to synthesize evidence on the associations of attributes of urban built environment (e.g. residential density, land use mix, greenness and walkability) with cardiovascular risk factors (e.g. hypertension and arterial stiffness) and major CVD events including mortality. A total of 63 studies, including 31 of cross-sectional design and 32 of longitudinal design conducted across 21 geographical locations and published between 2012 and 2023 were extracted for review. Overall, we report moderately consistent evidence of protective associations of greenness with cardiovascular risks and major CVD events (cross-sectional studies: 12 of 15 on hypertension/blood pressure (BP) and 2 of 3 on arterial stiffness; and longitudinal studies: 6 of 8 on hypertension/BP, 7 of 8 on CVD mortality, 3 of 3 on ischemic heart disease mortality and 5 of 8 studies on stroke hospitalization or mortality reporting significant inverse associations). Consistently, walkability was associated with lower risks of hypertension, arterial stiffness and major CVD events (cross-sectional studies: 11 of 12 on hypertension/BP and 1 of 1 on arterial stiffness; and longitudinal studies: 3 of 6 on hypertension/BP and 1 of 2 studies on CVD events being protective). Sixty-seven percent of the studies were rated as "probably high" risk of confounding bias because of inability to adjust for underlying comorbidities/family history of diseases in their statistical models. Forty-six percent and 14% of the studies were rated as "probably high" risk of bias for exposure and outcome measurements, respectively. Future studies with robust design will further help elucidate the linkages between urban built environment and cardiovascular health, thereby informing planning policies for creating healthy cities.

Contemporary trends in mortality related to high-risk pulmonary embolism in US from 1999 to 2019

BACKGROUND

Population-based data on high-risk pulmonary embolism (PE) mortality trends in the United States (US) are scant.

OBJECTIVES

To assess current trends in US mortality related to high-risk PE over the past 21 years and determine differences by sex, race, ethnicity, age and census region.

METHODS

Data were extracted from the Centers for Disease Control and Prevention (CDC) Wide-ranging ONline Data for Epidemiologic Research (WONDER) to determine trends in age-adjusted mortality rates (AAMR) per 100,000 people, due to high-risk PE. To calculate nationwide annual trends, we assessed the average (AAPC) and annual percent change (APC) with relative 95 % confidence intervals (CIs) using Joinpoint regression.

RESULTS

Between 1999 and 2019, high-risk PE was listed as the underlying cause of death in 209,642 patients, corresponding to an AAMR of 3.01 per 100,000 people (95 % CI: 2.99 to 3.02). AAMR from high-risk PE remained stable from 1999 to 2007 [APC: -0.2 %, (95 % CI: -2.0 to 0.5, p = 0.22)] and then significantly increased [APC: 3.1 % (95 % CI: 2.6 to 3.6), p < 0.0001], especially in males [AAPC: 1.9 % (95 % CI: 1.4 to 2.4), p < 0.001 vs AAPC: 1.5 % (95 % CI: 1.1 to 2.2), p < 0.001]. AAMR increase was more pronounced in those <65 years, Black Americans, and residents of rural areas.

CONCLUSIONS

In an US population analysis, high-risk PE mortality rate increased, with racial, sex-based, and regional variations. Further studies are needed to understand root causes for these trends and to implement appropriate corrective strategies.

Hoosier Sport: a research protocol for a multilevel physical activity-based intervention in rural Indiana

Introduction

Currently, only 1 in 4 children in the U.S. engage in the recommended amount of physical activity (PA) and disparities in PA participation increase as income inequities increase. Moreover, leading health organizations have identified rural health as a critical area of need for programming, research, and policy. Thus, there is a critical need for the development and testing of evidence-based PA interventions that have the potential to be scalable to improve health disparities in children from under-resourced rural backgrounds. As such, the present study utilizes human-centered design, a technique that puts community stakeholders at the center of the intervention development process, to increase our specific understanding about how the PA-based needs of children from rural communities manifest themselves in context, at the level of detail needed to make intervention design decisions. The present study connects the first two stages of the NIH Stage Model for Behavioral Intervention Development with a promising conceptual foundation and potentially sustainable college student mentor implementation strategy.

Methods

We will conduct a three-phase study utilizing human-centered community-based participatory research (CBPR) in three aims: (Aim 1) conduct a CBPR needs assessment with middle school students, parents, and teachers/administrators to identify perceptions, attributes, barriers, and facilitators of PA that are responsive to the community context and preferences; (Aim 2) co-design with children and adults to develop a prototype multi-level PA intervention protocol called Hoosier Sport; (Aim 3) assess Hoosier Sport's trial- and intervention-related feasibility indicators. The conceptual foundation of this study is built on three complementary theoretical elements: (1) Basic Psychological Needs mini-theory within Self-Determination Theory; (2) the Biopsychosocial Model; and (3) the multilevel Research Framework from the National Institute on Minority Health and Health Disparities.

Discussion

Our CBPR protocol takes a human-centered approach to integrating the first two stages of the NIH Stage Model with a potentially sustainable college student mentor implementation strategy. This multidisciplinary approach can be used by researchers pursuing multilevel PA-based intervention development for children.

Guidelines, position statements, and advisories for the primary prevention of type 2 diabetes, hypertension, and cardiovascular disease in rural populations: A systematic review protocol

INTRODUCTION

Globally, noncommunicable diseases (NCDs), which include type 2 diabetes (T2D), hypertension, and cardiovascular disease (CVD), are associated with a high burden of morbidity and mortality. Health disparities exacerbate the burden of NCDs. Notably, rural, compared with urban, populations face greater disparities in access to preventive care, management, and treatment of NCDs. However, there is sparse information and no known literature synthesis on the inclusion of rural populations in documents (i.e., guidelines, position statements, and advisories) pertaining to the prevention of T2D, hypertension, and CVD. To address this gap, we are conducting a systematic review to assess the inclusion of rural populations in documents on the primary prevention of T2D, hypertension, and CVD.

METHODS AND ANALYSIS

This protocol follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We searched 19 databases including EMBASE, MEDLINE, and Scopus, from January 2017 through October 2022, on the primary prevention of T2D, hypertension, and CVD. We conducted separate Google® searches for each of the 216 World Bank economies. For primary screening, titles and/or abstracts were screened independently by two authors (databases) or one author (Google®). Documents meeting selection criteria will undergo full-text review (secondary screening) using predetermined criteria, and data extraction using a standardized form. The definition of rurality varies, and we will report the description provided in each document. We will also describe the social determinants of health (based on the World Health Organization) that may be associated with rurality.

ETHICS AND DISSEMINATION

To our knowledge, this will be the first systematic review on the inclusion of rurality in documents on the primary prevention of T2D, hypertension, and CVD. Ethics approval is not required since we are not using patient-level data. Patients are not involved in the study design or analysis. We will present the results at conferences and in peer-reviewed publication(s).

TRIAL REGISTRATION

PROSPERO Registration Number: CRD42022369815.

Racial and regional disparities in deaths in breast cancer

Breast cancer is the second most diagnosed malignancy in American women with a lifetime occurrence of 1 in 8 women in the United States. There has been a dearth of research focusing on regional differences in breast cancer mortality with respect to race in the US. It is crucial to identify regions that are lagging to uplift the outreach of breast cancer care to certain races. Data for this study were obtained from the 2016-2018 Nationwide Inpatient Sample. In-hospital mortality, race and hospital regions for the patients with the primary diagnosis of Malignant Neoplasms of Breast were studied. Baseline characteristics of participants were summarized using descriptive statistics. The patient population was stratified as per race, hospital region, gender, therapy received and family history. Logistic regression was performed to derive the odds ratio while adjusting for different variables. 99, 543 patients with metastatic breast cancer were identified. African Americans (AAs) were found to have the highest reported deaths at 5.54%, followed by Asians and Pacific Islanders at 4.80% and Caucasians 4.09% (p < 0.0001). The odds of dying were significantly higher in the AA population when compared to Caucasian population (OR 1.391 (1.286-1.504)), and the odds were consistently higher across all regions of the US. In terms of regional disparities with respect to race, AA's had highest mortality in the south whereas all other races had the highest mortality in the west. It was seen that races identifying as "others" had significantly higher odds of dying in the Northeast. It is crucial to identify racial differences in the various regions across the US in order to implement appropriate outreach strategies to tackle these disparities.

Demographic and regional trends of peripheral artery disease-related mortality in the United States, 2000 to 2019

INTRODUCTION

Peripheral artery disease (PAD) is a common progressive atherosclerotic disease associated with significant morbidity and mortality in the US; however, data regarding PAD-related mortality trends are limited. This study aims to characterize contemporary trends in mortality across sociodemographic and regional groups.

METHODS

The Centers for Disease Control and Prevention Wide-Ranging OnLine Data for Epidemiologic Research (CDC WONDER) was queried for data regarding PAD-related deaths from 2000 to 2019 in the overall sample and different demographic (age, sex, race/ethnicity) and regional (state, urban-rural) subgroups. Crude and age-adjusted mortality rates (CMR and AAMR, respectively) per 100,000 people were calculated. Associated annual percentage changes (APC) were computed using Joinpoint Regression Program Version 4.9.0.0 trend analysis software.

RESULTS

Between 2000 and 2019, a total of 1,959,050 PAD-related deaths occurred in the study population. Overall, AAMR decreased from 72.8 per 100,000 in 2000 to 32.35 per 100,000 in 2019 with initially decreasing APCs followed by no significant decline from 2016 to 2019. Most demographic and regional subgroups showed initial declines in AAMRs during the study period, with many groups exhibiting no change in mortality in recent years. However, men, non-Hispanic (NH) Black or African American individuals, people aged ⩾ 85 years, and rural counties were associated with the highest AAMRs of their respective subgroups. Notably, there was an increase in crude mortality rate among individuals 25-39 years of age from 2009 to 2019.

CONCLUSION

Despite initial improvement, PAD-related mortality has remained stagnant in recent years. Disparities have persisted across several demographic and regional groups, requiring further investigation.

Cardiovascular outcomes of cancer patients in rural Australia

Background

Cancer and heart disease are the two most common health conditions in the world, associated with high morbidity and mortality, with even worse outcomes in regional areas. Cardiovascular disease is the leading cause of death in cancer survivors. We aimed to evaluate the cardiovascular outcomes of patients receiving cancer treatment (CT) in a regional hospital.

Methods

This was an observational retrospective cohort study in a single rural hospital over a ten-year period (17th February 2010 to 19th March 2019). Outcomes of all patients receiving CT during this period were compared to those who were admitted to the hospital without a cancer diagnosis.

Results

268 patients received CT during the study period. High rates of cardiovascular risk factors: hypertension (52.2%), smoking (54.9%), and dyslipidaemia (38.4%) were observed in the CT group. Patients who had CT were more likely to be readmitted with ACS (5.9% vs. 2.8% p = 0.005) and AF (8.2% vs. 4.5% p = 0.006) when compared to the general admission cohort. There was a statistically significant difference observed for all cause cardiac readmission, with a higher rate observed in the CT group (17.1% vs. 13.2% p = 0.042). Patients undergoing CT had a higher rate of mortality (49.5% vs. 10.2%, p ≤ 0.001) and shorter time (days) from first admission to death (401.06 vs. 994.91, p ≤ 0.001) when compared to the general admission cohort, acknowledging this reduction in survival may be driven at least in part by the cancer itself.

Conclusion

There is an increased incidence of adverse cardiovascular outcomes, including higher readmission rate, higher mortality rate and shorter survival in people undergoing cancer treatment in rural environments. Rural cancer patients demonstrated a high burden of cardiovascular risk factors.

Demographic and Regional Trends of Cardiovascular Diseases and Diabetes Mellitus-Related Mortality in the United States From 1999 to 2019

OBJECTIVE

The purpose of this research was to study the contemporary trends in cardiovascular disease (CVD) and diabetes mellitus (DM)-related mortality.

METHODS

We used the Centers for Disease Control and Prevention Wide-Ranging OnLine Data for Epidemiologic Research (CDC WONDER) database to identify adults ≥25 years old where both CVD and DM were listed as an underlying or contributing cause of death between 1999 and 2019. Crude and age-adjusted mortality rates per 100,000 population were determined.

RESULTS

The overall age-adjusted mortality rate was 99.18 in 1999 and 91.43 in 2019, with a recent increase from 2014-2019 (annual percent change 1.0; 95% confidence interval [CI], 0.3-1.6). Age-adjusted mortality rate was higher for males compared with females, with increasing mortality in males between 2014 and 2019 (annual percent change 1.5; 95% CI, 0.9-2.0). Age-adjusted mortality rate was highest for non-Hispanic Black adults and was ∼2-fold higher compared with non-Hispanic White adults. Young and middle-aged adults (25-69 years) had increasing age-adjusted mortality rates in recent years. There were significant urban-rural disparities, and age-adjusted mortality rates in rural counties increased from 2014 to 2019 (annual percent change 2.2; 95% CI, 1.5-2.9); states in the 90^th percentile of mortality had age-adjusted mortality rates that were ∼2-fold higher than those in the bottom 10^th percentile of mortality.

CONCLUSION

After an initial decrease in DM + CVD-related mortality for a decade, this trend has reversed, with increasing mortality from 2014 to 2019. Significant geographic and demographic disparities persist, requiring targeted health policy interventions to prevent the loss of years of progress.

Rural and socioeconomic differences in the effectiveness of the HEART Pathway accelerated diagnostic protocol

BACKGROUND

The HEART Pathway is a validated accelerated diagnostic protocol (ADP) for patients with possible acute coronary syndrome (ACS). This study aimed to compare the safety and effectiveness of the HEART Pathway based on patient rurality (rural vs. urban) or socioeconomic status (SES).

METHODS

We performed a preplanned subgroup analysis of the HEART Pathway Implementation Study. The primary outcomes were death or myocardial infarction (MI) and hospitalization at 30 days. Proportions were compared by SES and rurality with Fisher's exact tests. Logistic regression evaluated for interactions of ADP implementation with SES or rurality and changes in outcomes within subgroups.

RESULTS

Among 7245 patients with rurality and SES data, 39.9% (2887/7245) were rural and 22.2% were low SES (1607/7245). The HEART Pathway identified patients as low risk in 32.2% (818/2540) of urban versus 28.1% (425/1512) of rural patients (p = 0.007) and 34.0% (311/915) of low SES versus 29.7% (932/3137) high SES patients (p = 0.02). Among low-risk patients, 30-day death or MI occurred in 0.6% (5/818) of urban versus 0.2% (1/425) rural (p = 0.67) and 0.6% (2/311) with low SES versus 0.4% (4/932) high SES (p = 0.64). Following implementation, 30-day hospitalization was reduced by 7.7% in urban patients (adjusted odds ratio [aOR] 0.76, 95% confidence interval [CI] 0.66-0.87), 10.6% in low SES patients (aOR 0.68, 95% CI 0.54-0.86), and 4.5% in high SES patients (aOR 0.83, 95% CI 0.73-0.94). However, rural patients had a nonsignificant 3.3% reduction in hospitalizations.

CONCLUSIONS

HEART Pathway implementation decreased 30-day hospitalizations regardless of SES and for urban patients but not rural patients. The 30-day death or MI rate was similar among low-risk patients.

Prevalence of Meeting Aerobic, Muscle-Strengthening, and Combined Physical Activity Guidelines During Leisure Time Among Adults, by Rural-Urban Classification and Region - United States, 2020

The healthful effects of physical activity on a multitude of physical and mental health outcomes are well documented (1). Despite promising increases in the percentage of U.S. adults meeting aerobic and muscle-strengthening physical activity guidelines (guidelines)* (1) during leisure time in nearly all demographic and regional subgroups 1998-2018 (2,3), differences by rurality and U.S. Census Bureau region (Northeast, Midwest, South, and West), persist (4). Before 2020, analyses of rural-urban differences were dichotomized into nonmetropolitan (rural) versus metropolitan (urban) areas; however, in 2020 a four-category rural-urban variable^† to classify rural-urban status was included in the National Health Interview Survey (NHIS) public-use dataset. NHIS 2020 data were used to conduct multivariate logistic regression analyses by rural-urban status and U.S. Census Bureau region of the prevalence of meeting the aerobic, muscle-strengthening, and combined aerobic and muscle-strengthening guidelines during leisure time among adults aged ≥18 years, controlling for demographic characteristics. Prevalence of meeting the aerobic, muscle-strengthening, and combined aerobic and muscle-strengthening guidelines was consistently the lowest in Nonmetropolitan counties (38.2%, 21.1%, and 16.1%, respectively) and highest in the West region (52.1%, 35.3%, and 28.5%, respectively). Regardless of rural-urban classification and region, no more than 28% of adults met combined aerobic and muscle-strengthening guidelines. Adults in the most rural category were significantly less likely to meet aerobic, muscle-strengthening, and combined guidelines than were adults in each of the three other categories (adjusted odds ratio [aOR] range = 0.68-0.89). In addition, adults in medium and small metropolitan counties were less likely to meet guidelines than were adults in the two most urban categories (aOR range = 0.85-0.89). Adults in the Northeast, Midwest, and South U.S. Census Bureau regions were less likely to meet guidelines than were adults in the West region (aOR range = 0.75-0.82). These analyses identify geographic disparities in leisure-time physical activity where focused population-level intervention efforts could help reduce or eliminate the consequent disparities in chronic conditions (e.g., cardiovascular diseases) and the resulting mortality (5,6).

Higher risk of cardiovascular mortality than cancer mortality among long-term cancer survivors

Background

Previous studies focused more on the short-term risk of cardiovascular (CV) death due to traumatic psychological stress after a cancer diagnosis and the acute cardiotoxicity of anticancer treatments than on the long-term risk of CV death.

Methods

Time trends in the proportions of CV death (P_CV), cancer death (P_CA), and other causes in deaths from all causes were used to show preliminary relationships among the three causes of death in 4,806,064 patients with cancer from the Surveillance, Epidemiology, and End Results (SEER) program. Competing mortality risk curves were used to investigate when the cumulative CV mortality rate (CMR_CV) began to outweigh the cumulative cancer mortality rate (CMR_CA) for patients with cancer who survived for more than 10 years. Multivariable competing risk models were further used to investigate the potential factors associated with CV death.

Results

For patients with cancer at all sites, the P_CV increased from 22.8% in the 5th year after diagnosis to 31.0% in the 10th year and 35.7% in the 20th year, while the P_CA decreased from 57.7% in the 5th year after diagnosis to 41.2 and 29.9% in the 10th year and 20th year, respectively. The P_CV outweighed the P_CA (34.6% vs. 34.1%) since the 15th year for patients with cancer at all sites, as early as the 9th year for patients with colorectal cancer (37.5% vs. 33.2%) and as late as the 22nd year for patients with breast cancer (33.5% vs. 30.6%). The CMR_CV outweighed the CMR_CA since the 25th year from diagnosis. Multivariate competing risk models showed that an increased risk of CV death was independently associated with older age at diagnosis [hazard ratio and 95% confidence intervals [HR (95%CI)] of 43.39 (21.33, 88.28) for ≥ 80 vs. ≤ 30 years] and local metastasis [1.07 (1.04, 1.10)] and a decreased risk among women [0.82 (0.76, 0.88)], surgery [0.90 (0.87, 0.94)], and chemotherapy [0.85 (0.81, 0.90)] among patients with cancer who survived for more than 10 years. Further analyses of patients with cancer who survived for more than 20 years and sensitivity analyses by cancer at all sites showed similar results.

Conclusion

CV death gradually outweighs cancer death as survival time increases for most patients with cancer. Both the cardio-oncologist and cardio-oncology care should be involved to reduce CV deaths in long-term cancer survivors.

Social Determinants of Cardiovascular Health: A Longitudinal Analysis of Cardiovascular Disease Mortality in US Counties From 2009 to 2018

Background Disparities in cardiovascular disease (CVD) outcomes persist across the United States. Social determinants of health play an important role in driving these disparities. The current study aims to identify the most important social determinants associated with CVD mortality over time in US counties. Methods and Results The authors used the Agency for Healthcare Research and Quality's database on social determinants of health and linked it with CVD mortality data at the county level from 2009 to 2018. The age-standardized CVD mortality rate was measured as the number of deaths per 100 000 people. Penalized generalized estimating equations were used to select social determinants associated with county-level CVD mortality. The analytic sample included 3142 counties. The penalized generalized estimating equation identified 17 key social determinants of health including rural-urban status, county's racial composition, income, food, and housing status. Over the 10-year period, CVD mortality declined at an annual rate of 1.08 (95% CI, 0.74-1.42) deaths per 100 000 people. Rural counties and counties with a higher percentage of Black residents had a consistently higher CVD mortality rate than urban counties and counties with a lower percentage of Black residents. The rural-urban CVD mortality gap did not change significantly over the past decade, whereas the association between the percentage of Black residents and CVD mortality showed a significant diminishing trend over time. Conclusions County-level CVD mortality declined from 2009 through 2018. However, rural counties and counties with a higher percentage of Black residents continued to experience higher CVD mortality. Median income, food, and housing status consistently predicted higher CVD mortality.

Geographic heterogeneity of the epidemiological impact of the COVID-19 pandemic in Italy using a socioeconomic proxy-based classification of the national territory

Objectives

This study aimed to evaluate the differences in incidence, non-intensive care unit (non-ICU) and intensive care unit (ICU) hospital admissions, and COVID-19-related mortality between the "inner areas" of Italy and its metropolitan areas.

Study design

Retrospective population-based study conducted from the beginning of the pandemic in Italy (20 February 2020) to 31 March 2022.

Methods

The municipalities of Italy were classified into metropolitan areas, peri-urban/intermediate areas and "inner areas" (peripheral/ultra-peripheral). The exposure variable was residence in an "inner area" of Italy. Incidence of diagnosis of SARS-CoV-2 infection, non-ICU and ICU hospital admissions and death within 30 days from diagnosis were the outcomes of the study. COVID-19 vaccination access was also evaluated. Crude and age-standardized rates were calculated for all the study outcomes. The association between the type of area of residence and each outcome under study was evaluated by calculating the ratios between the standardized rates. All the analyses were stratified by period of observation (original Wuhan strain, Alpha variant, Delta variant, Omicron variant).

Results

Incidence and non-ICUs admissions rates were lower in "inner areas." ICU admission and mortality rates were much lower in "inner areas" in the early phases of the pandemic, but this protection progressively diminished, with a slight excess risk observed in the "inner areas" during the Omicron period. The greater vaccination coverage in metropolitan areas may explain this trend.

Conclusion

Prioritizing healthcare planning through the strengthening of the primary prevention policies in the peripheral areas of Italy is fundamental to guarantee health equity policies.

Aging in Rural Communities

Purpose of Review

Population aging is occurring worldwide, particularly in developed countries such as the United States (US). However, in the US, the population is aging more rapidly in rural areas than in urban areas. Healthy aging in rural areas presents unique challenges. Understanding and addressing those challenges is essential to ensure healthy aging and promote health equity across the lifespan and all geographies. This review aims to present findings and evaluate recent literature (2019-2022) on rural aging and highlight future directions and opportunities to improve population health in rural communities.

Recent Findings

The review first addresses several methodological considerations in measuring rurality, including the choice of measure used, the composition of each measure, and the limitations and drawbacks of each measure. Next, the review considers important concepts and context when describing what it means to be rural, including social, cultural, economic, and environmental conditions. The review assesses several key epidemiologic studies addressing rural-urban differences in population health among older adults. Health and social services in rural areas are then discussed in the context of healthy aging in rural areas. Racial and ethnic minorities, indigenous peoples, and informal caregivers are considered as special populations in the discussion of rural older adults and healthy aging. Lastly, the review provides evidence to support critical longitudinal, place-based research to promote healthy aging across the rural-urban divide is highlighted.

Summary

Policies, programs, and interventions to reduce rural-urban differences in population health and to promote health equity and healthy aging necessitate a context-specific approach. Considering the cultural context and root causes of rural-urban differences in population health and healthy aging is essential to support the real-world effectiveness of such programs, policies, and interventions.

CKD-Associated Cardiovascular Mortality in the United States: Temporal Trends From 1999 to 2020

Rationale & Objective

Chronic kidney disease (CKD) is associated with an increased risk of cardiovascular (CV) mortality, but there are limited data on temporal trends disaggregated by sex, race, and urban/rural status in this population.

Study Design

Retrospective observational study.

Setting & Participants

The Centers for Disease Control and Prevention Wide-Ranging, Online Data for Epidemiologic Research database.

Exposure & Predictors

Patients with CKD and end-stage kidney disease (ESKD) stratified according to key demographic groups.

Outcomes

Etiologies of CKD- and ESKD-associated mortality between 1999 and 2000.

Analytical Approach

Presentation of age-adjusted mortality rates (per 100,000 people) characterized by CV categories, ethnicity, sex (male or female), age categories, state, and urban/rural status.

Results

Between 1999 and 2020, we identified 1,938,505 death certificates with CKD (and ESKD) as an associated cause of mortality. Of all CKD-associated mortality, the most common etiology was CV, with 31.2% of cases. Between 1999 and 2020, CKD-related age-adjusted mortality increased by 50.2%, which was attributed to an 86.6% increase in non-CV mortality but a 7.1% decrease in CV mortality. Black patients had a higher rate of CV mortality throughout the study period, although Black patients experienced a 38.6% reduction in mortality whereas White patients saw a 2.7% increase. Hispanic patients experienced a greater reduction in CV mortality over the study period (40% reduction) compared to non-Hispanic patients (3.6% reduction). CV mortality was higher in urban areas in 1999 but in rural areas in 2020.

Limitations

Reliance on accurate characterization of causes of mortality in a large dataset.

Conclusions

Among patients with CKD-related mortality in the United States between 1999 and 2020, there was an increase in all-cause mortality though a small decrease in CV-related mortality. Overall, temporal decreases in CV mortality were more prominent in Hispanic versus non-Hispanic patients and Black patients versus White patients.

Disparity of Performance Measure by Door-to-Balloon Time Between a Rural and Urban Area for Management of Patients With ST-Segment Elevation Myocardial Infarction ― Insights From the Nationwide Japan Acute Myocardial Infarction Registry ―

BACKGROUND

Although a door-to-balloon (D2B) time ≤90 min is recognized as a key indicator of timely reperfusion for patients with ST-segment elevation myocardial infarction (STEMI), it is unclear whether regional disparities in the prognostic value of D2B remain in contemporary Japan.Methods and Results: We retrospectively analyzed 17,167 STEMI patients (mean [±SD] age 68±13 years, 77.6% male) undergoing primary percutaneous coronary intervention. With reference to the Japanese median population density of 1,147 people/km², patients were divided into 2 groups: rural (n=6,908) and urban (n=10,259). Compared with the urban group, median D2B time was longer (70 vs. 62 min; P<0.001) and the rate of achieving a D2B time ≤90 min was lower (70.7% vs. 75.4%; P<0.001) in the rural group. In-hospital mortality was lower for patients with a D2B time ≤90 min than >90 min, regardless of residential area, whereas multivariable analysis identified prolonged D2B time as a predictor of in-hospital death only in the rural group (adjusted odds ratio 1.57; 95% confidence interval 1.18-2.09; P=0.002). Importantly, the rural-urban disparity in in-hospital mortality emerged most distinctively among patients with Killip Class IV and a D2B time >90 min.

CONCLUSIONS

These data suggest that there is a substantial rural-urban gap in the prognostic significance of D2B time among STEMI patients, especially those with cardiogenic shock and a prolonged D2B time.

Emergency Interhospital Transfer of Patients With ST‐Segment–Elevation Myocardial Infarction: Call 9‐1‐1—The American Heart Association Mission: Lifeline Program

ABSTRACT: The American Heart Association Mission: Lifeline program objectives are to improve the quality of care and outcomes for patients with ST‐segment–elevation myocardial infarction. Every minute of delay in treatment adversely affects 1‐year mortality. Transfer of patients safely and timely to hospitals with primary percutaneous coronary intervention capability is needed to improve outcomes. But treatment times continue to show delays, especially during interhospital transfers. A simple 3‐step process of an interhospital “Call 9‐1‐1” protocol may expedite this process. This STAT TRANSFER process uses a systems approach that considers diverse ways in which patients access care, how EMS responds and determines destinations, how referring hospital transfers are performed, urban and rural differences, and how receiving hospitals prepare for an incoming patient with ST‐segment–elevation myocardial infarction. This initiative suggests a strategy to reduce variability in interhospital transfer times using a STAT TRANSFER and a Call 9‐1‐1 process in a system of care that involves all stakeholders.

Adverse Childhood Experiences and Cardiovascular Risk among Young Adults: Findings from the 2019 Behavioral Risk Factor Surveillance System

Background: Heart disease is the fourth leading cause of death for young adults aged 18-34 in the United States. Recent research suggests that adverse childhood experiences (ACEs) may shape cardiovascular health and its proximate antecedents. In the current study, we draw on a contemporary, national sample to examine the association between ACEs and cardiovascular health among young adults in the United States, as well as potential mediating pathways. Methods: The present study uses data from the 2019 Behavioral Risk Factor Surveillance System (BRFSS) to examine associations between ACEs and cardiovascular risk, as well as the role of cumulative disadvantage and poor mental health in these associations. Results: Findings indicate that young adults who have experienced a greater number of ACEs have a higher likelihood of having moderate to high cardiovascular risk compared to those who have zero or few reported ACEs. Moreover, both poor mental health and cumulative disadvantage explain a significant proportion of this association. Conclusions: The present findings suggest that young adulthood is an appropriate age for deploying prevention efforts related to cardiovascular risk, particularly for young adults reporting high levels of ACEs.

Demographic and Regional Trends in Stroke-Related Mortality in Young Adults in the United States, 1999 to 2019

Background Despite improvements in the management and prevention of stroke, increasing hospitalizations for stroke and stagnant mortality rates have been described in young adults. However, there is a paucity of contemporary national mortality estimates in young adults. Methods and Results Trends in mortality related to stroke in young adults (aged 25-64 years) were assessed using the Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research database. Age-adjusted mortality rates per 100 000 people with associated annual percentage change were calculated. Joinpoint regression was used to assess the trends in the overall sample and different demographic (sex, race and ethnicity, and age) and geographical (state, urban-rural, and regional) subgroups. Between 1999 and 2019, a total of 566 916 stroke-related deaths occurred among young adults. After the initial decline in mortality in the overall population, age-adjusted mortality rate increased from 2013 to 2019 with an associated annual percentage change of 1.5 (95% CI, 1.1-2.0). Mortality rates were higher in men versus women and in non-Hispanic Black people versus individuals of other races and ethnicities. Non-Hispanic American Indian or Alaskan Native people had a marked increase in stroke-related mortality (annual percentage change 2010-2019: 3.3). Furthermore, rural (nonmetropolitan) counties experienced the greatest increase in mortality (annual percentage change 2012-2019: 3.1) compared with urban (metropolitan) counties. Conclusions Following the initial decline in stroke-related mortality, young adults have experienced increasing mortality rates from 2013 to 2019, with considerable differences across demographic groups and regions.

Factors Associated With Geographic Disparities in Gastrointestinal Cancer Mortality in the United States

BACKGROUND & AIMS

Significant geographic variability in gastrointestinal (GI) cancer-related death has been reported in the United States. We aimed to evaluate both modifiable and nonmodifiable factors associated with intercounty differences in mortality due to GI cancer.

METHODS

Data from the Centers for Disease Control and Prevention's Wide-ranging Online Data for Epidemiologic Research platform were used to calculate county-level mortality from esophageal, gastric, pancreatic, and colorectal cancers. Multivariable linear regression models were fit to adjust for county-level covariables, considering both patient (eg, sex, race, obesity, diabetes, alcohol, and smoking) and structural factors (eg, specialist density, poverty, insurance prevalence, and colon cancer screening prevalence). Intercounty variability in GI cancer-related mortality explained by these covariables was expressed as the multivariable model R².

RESULTS

There were significant geographic disparities in GI cancer-related county-level mortality across the US from 2010-2019 with the ratio of mortality between 90th and 10th percentile counties ranging from 1.5 (pancreatic) to 2.1 (gastric cancer). Counties with the highest 5% mortality rates for gastric, pancreatic, and colorectal cancer were primarily in the Southeastern United States. Multivariable models explained 43%, 61%, 14%, and 39% of the intercounty variability in mortality rates for esophageal, gastric, pancreatic, and colorectal cancer, respectively. Cigarette smoking and rural residence (independent of specialist density) were most strongly associated with GI cancer-related mortality.

CONCLUSIONS

Both patient and structural factors contribute to significant geographic differences in mortality from GI cancers. Our findings support continued public health efforts to reduce smoking use and improve care for rural patients, which may contribute to a reduction in disparities in GI cancer-related death.

A Decade of Nutrition and Health Disparities Research at NIH, 2010-2019

INTRODUCTION

Nutrition health disparities include differences in incidence, prevalence, morbidity, and mortality of diet-related diseases and conditions. Often, race, ethnicity, and the social determinants of health are associated with dietary intake and related health disparities. This report describes the nutrition health disparities research supported by NIH over the past decade and offers future research opportunities relevant to NIH's mission as described in the Strategic Plan for NIH Nutrition Research.

METHODS

Data were extracted from an internal reporting system from FY2010 to FY2019 using the Research, Condition, and Disease Categorization spending categories for Nutrition and Health Disparities.

RESULTS

Over the past decade, NIH-supported nutrition and health disparities research increased, from 860 grants in 2010 to 937 grants in FY2019, whereas total nutrition and health disparities funding remained relatively stable. The top 5 Institutes/Centers that funded nutrition and health disparities research (on the basis of both grant numbers and dollars) were identified. Principal areas of focus included several chronic diseases (e.g., obesity, diabetes, cancer, heart disease) and research disciplines (e.g., clinical research and behavioral and social science). Focus areas related to special populations included pediatrics, minority health, aging, and women's health.

CONCLUSIONS

The gaps and trends identified in this analysis highlight the need for future nutrition and health disparities research, including a focus on American Indian and Asian populations and the growing topics of rural health, maternal health, and food insecurity. In alignment with the Strategic Plan for NIH Nutrition Research, health equity may be advanced through innovative research approaches to develop effective targeted interventions to address these disparities.

Disparities in Cardiovascular Mortality Between Black and White Adults in the United States, 1999 to 2019

BACKGROUND

Black adults experience a disproportionately higher burden of cardiovascular risk factors and disease in comparison with White adults in the United States. Less is known about how sex-based disparities in cardiovascular mortality between these groups have changed on a national scale over the past 20 years, particularly across geographic determinants of health and residential racial segregation.

METHODS

We used CDC WONDER (Centers for Disease Control and Prevention's Wide-Ranging Online Data for Epidemiologic Research) to identify Black and White adults age ≥25 years in the United States from 1999 to 2019. We calculated annual age-adjusted cardiovascular mortality rates (per 100 000) for Black and White women and men, as well as absolute rate differences and rate ratios to compare the mortality gap between these groups. We also examined patterns by US census region, rural versus urban residence, and degree of neighborhood segregation.

RESULTS

From 1999 to 2019, age-adjusted mortality rates declined overall for both Black and White adults. There was a decline in age-adjusted cardiovascular mortality among Black (602.1 to 351.8 per 100 000 population) and White women (447.0 to 267.5), and the absolute rate difference (ARD) between these groups decreased over time (1999: ARD, 155.1 [95% CI, 149.9-160.3]; 2019: ARD, 84.3 [95% CI, 81.2-87.4]). These patterns were similar for Black (824.1 to 526.3 per 100 000) and White men (637.5 to 396.0; 1999: ARD, 186.6 [95% CI, 178.6-194.6]; 2019: ARD, 130.3 [95% CI, 125.6-135.0]). Despite this progress, cardiovascular mortality in 2019 was higher for Black women (rate ratio, 1.32 [95% CI, 1.30-1.33])- especially in the younger (age <65 years) subgroup (rate ratio, 2.28 [95% CI, 2.23-2.32])-as well as for Black men (rate ratio, 1.33 [95% CI, 1.32-1.34]), compared with their respective White counterparts. There was regional variation in cardiovascular mortality patterns, and the Black-White gap differed across rural and urban areas. Cardiovascular mortality rates among Black women and men were consistently higher in communities with high levels of racial segregation compared with those with low to moderate levels.

CONCLUSIONS

During the past 2 decades, age-adjusted cardiovascular mortality declined significantly for Black and White adults in the United States, as did the absolute difference in death rates between these groups. Despite this progress, Black women and men continue to experience higher cardiovascular mortality rates than their White counterparts.

Rural-Urban Disparities in Heart Failure and Acute Myocardial Infarction Hospitalizations

Substantial gaps in clinical outcomes exist in rural and urban hospitals in the United States. We used the National Inpatient Sample to examine trends in hospitalizations, in-hospital mortality, length of stay, and inflation-adjusted cost of adults admitted for heart failure (HF) and acute myocardial infarction (AMI) in rural and urban hospitals between 2004 and 2018. From 2004 to 2013 and 2014, there was an initial decrease in age-adjusted HF hospitalizations in both urban (annual percent change [APC] -3.9 [95% confidence interval [CI] -4.3 to -3.5] p <0.001) and rural hospitals (APC -5.9 [95% CI -6.4 to -5.3] p <0.001), after which hospitalizations for HF increased in urban areas (APC 4.2 [95% CI 3.2 to 5.3] p <0.001) and remained stable in rural areas (APC 0.2 [95% CI -2.1 to 2.6] p = 0.863). Urban AMI hospitalizations decreased between 2004 and 2010 (APC -4.4 [95% CI -5.3 to -3.3] p <0.001) and subsequently remained stable (APC 0.2 [95% CI -0.5 to 0.9] p = 0.552), whereas rural AMI hospitalizations had a consistent decrease throughout the study period (APC -4.2 [95% CI -5.0 to -3.4] p <0.001). Overall, urban hospitals had lower in-hospital mortality for HF and AMI than rural hospitals (3.1% vs 3.5%, p <0.001% and 5.4% vs 6.5%, p <0.001), respectively. Initially, in-hospital mortality was higher in rural hospitals; however, the rural-urban hospital mortality gap decreased during the study period for both HF and AMI. Rural hospitals had a shorter mean length of stay for HF and AMI (4.4 vs 5.5 days, p <0.001 and 3.9 vs 4.7 days, p <0.001) and lower inflation-adjusted costs for both HF and AMI ($8,897.1 vs $13,420.8, p <0.001 and $15,301.6 vs $22,943.7, p <0.001) when compared with urban hospitals. In conclusion, a consistent decrease in the in-hospital mortality gap in rural and urban hospitals for HF and AMI suggests improvement in inpatient rural cardiovascular care during the study period. Continued healthcare policy reforms are warranted to alleviate the disparities in rural-urban cardiovascular outcomes.

Rural-Urban Disparities in Mortality From Cirrhosis in the United States From 1999 to 2019

INTRODUCTION

We examined trends in rural-urban cirrhosis mortality disparities in the United States from decedents aged 25 years and older from 1999 to 2019.

METHODS

We calculated cirrhosis age-adjusted mortality rates across 3 population categories: large metropolitan (≥1 million), medium/small metropolitan (50,000-999,999), and rural (<50,000) areas using the US Centers for Disease Control and Prevention Wide-ranging ONline Data for Epidemiologic Research database.

RESULTS

We found an almost 20-fold increase in the absolute difference in cirrhosis age-adjusted mortality rates between rural and large metropolitan areas between 1999 and 2019.

DISCUSSION

Future research is needed to investigate reasons for this widening rural-urban disparity to improve rural cirrhosis care.

Alzheimer's Disease Mortality as a Function of Urbanization Level: 1999-2019

This study investigated Alzheimer's disease (AD) mortality trends by urbanization level and geographical location in the U.S. The CDC's WONDER database was used to investigate AD mortality from 1999-2019 stratified by urbanization level, census division, race, and sex. Data showed that while AD mortality increased across the U.S., rural areas, particularly in the South, had higher mortality compared to urban counterparts. AD mortality was higher among the female and White population. Data suggested that the urban-rural discrepancy is widening over time. Identifying health disparities underlying the urban-rural discrepancy in AD mortality is critical for allocating social and public health resources.