Rural-urban stroke mortality gaps in the United States.

INTRODUCTION: Disparities in stroke outcomes, influenced by the use of systemic thrombolysis, endovascular therapies, and rehabilitation services, have been identified. Our study assesses these disparities in mortality after stroke between rural and urban areas across the United States (US). METHODS: We analyzed the CDC data on deaths attributed to cerebrovascular disease from 1999 to 2020. Data was categorized into rural and urban regions for comparative purposes. Age-adjusted mortality rates (AAMR) were computed using the direct method, allowing us to examine the ratios of rural to urban deaths for the cumulative population and among demographic subpopulations. Linear regression models were used to assess temporal changes in mortality ratios over the study period, yielding beta-coefficients (ß). RESULTS: There was a total of 628,309 stroke deaths in rural regions and 2,556,293 stroke deaths within urban regions. There were 1.13 rural deaths for each one urban death per 100,000 population in 1999 and 1.07 in 2020 (ß = -0.001, ptrend = 0.41). The rural-urban mortality ratio in Hispanic populations decreased from 1.32 rural deaths for each urban death per 100,000 population in 1999 to 0.85 in 2020 (ß = -0.011, ptrend < 0.001). For non-Hispanic populations, mortality remained stagnant with 1.12 rural deaths for each urban death per 100,000 population in 1999 and 1.07 in 2020 (ß = -0.001, ptrend = 0.543). Regionally, the Southern US exhibited the highest disparity with a urban-rural mortality ratio of 1.19, followed by the Northeast (1.13), Midwest (1.04), and West (1.01). CONCLUSIONS: Our findings depict marked disparities in stroke mortality between rural and urban regions, emphasizing the importance of targeted interventions to mitigate stroke-related disparities.

Influence of social vulnerability index on Medicare beneficiaries' expenditures upon discharge.

Medicare beneficiaries' healthcare spending varies across geographical regions, influenced by availability of medical resources and institutional efficiency. We aimed to evaluate whether social vulnerability influences healthcare costs among Medicare beneficiaries. Multivariable regression analyses were conducted to determine whether the social vulnerability index (SVI), released by the Centers for Disease Control and Prevention (CDC), was associated with average submitted covered charges, total payment amounts, or total covered days upon hospital discharge among Medicare beneficiaries. We used information from discharged Medicare beneficiaries from hospitals participating in the Inpatient Prospective Payment System. Covariate adjustment included demographic information consisting of age groups, race/ethnicity, and Hierarchical Condition Category risk score. The regressions were performed with weights proportioned to the number of discharges. Average submitted covered charges significantly correlated with SVI (ß = 0.50, p < 0.001) in the unadjusted model and remained significant in the covariates-adjusted model (ß = 0.25, p = 0.039). The SVI was not significantly associated with the total payment amounts (ß = -0.07, p = 0.238) or the total covered days (ß = 0.00, p = 0.953) in the adjusted model. Regional variations in Medicare beneficiaries' healthcare spending exist and are influenced by levels of social vulnerability. Further research is warranted to fully comprehend the impact of social determinants on healthcare costs.

Trends in comorbid chronic kidney disease and atrial fibrillation-related cardiovascular mortality in the United States.

Background: The impact of chronic kidney disease (CKD) on atrial fibrillation outcomes (AF) is not well understood. Methods: We conducted analyses of comorbid AF and CKD related death in the United States from 1999 to 2020 using descriptive epidemiology. Results: Age-adjusted mortality rates (AAMR) per 100,000 increased from 0.39 in 1999 to 1.65 in 2020. Non-Hispanic populations (1.01) and nonmetropolitan areas (1.08) had higher AAMRs compared to Hispanic (0.62) and metropolitan (0.97) areas. Midwestern (1.11) and Western (1.13) US regions recorded the highest AAMRs. Conclusions: These findings highlight the need for interventions to address AF death disparities in patients with CKD.

Ischemic heart disease mortality in individuals with inflammatory bowel disease: A nationwide analysis of disparities in the United States.

INTRODUCTION: Inflammatory bowel disease (IBD) is linked to immune-mediated pathogenesis and a pro-inflammatory state, leading to accelerated atherosclerosis. This earlier onset of clinical cardiovascular disease poses significant morbidity and mortality. We sought to identify IHD mortality trends in individuals with IBD in the United States (US). METHODS: Mortality due to ischemic heart diseases (IHD) as the underlying cause of death with the IBD as a contributor of death were queried from death certificates using the CDC database from 1999 to 2020. Yearly crude mortality rates (CMR) were estimated by dividing the death count by the respective population size, reported per 100,000 persons. Mortality rates were adjusted for age using the Direct method and compared by demographic subpopulations. Log-linear regression models were utilized to assess temporal variation (annual percentage change [APC]) in mortality. RESULTS: Age-adjusted mortality rates (AAMR) decreased from 0.11 in 1999 to 0.07 in 2020, primarily between 1999 and 2018 (APC -4.41, p < 0.001). AAMR was higher among male (AAMR 0.08) and White (AAMR 0.08) populations compared to female populations (AAMR 0.06) and Black (AAMR 0.04) populations, respectively. No significant differences were seen when comparing mortality between urban (AAMR 0.07) and rural (AAMR 0.08) regions. Southern US regions (AAMR 0.06) had the lowest mortality rates when compared to the other US census regions: Northeastern (AAMR 0.08), Midwestern (AAMR 0.08), and Western (AAMR 0.08). CONCLUSION: Disparities in IHD mortality exist among individuals with IBD in the US based on demographic factors, with an overall decline in mortality during the 22-year period. Further investigation is warranted to confirm these findings and evaluate for contributors to the observed disparities.

Mortality trends, disparities, and social vulnerability in cardiac arrest mortality in the young: A cross-sectional analysis.

BACKGROUND: Cardiac arrest (CA) is a leading cause of death in the United States (US). Social determinants of health may impact CA outcomes. We aimed to assess mortality trends, disparities, and the influence of the social vulnerability index (SVI) on CA outcomes in the young. METHODS: We conducted a cross-sectional analysis of age-adjusted mortality rates (AAMRs) related to CA in the United States from the Years 1999 to 2020 in individuals aged 35 years and younger. Data were obtained from death certificates and analyzed using log-linear regression models. We examined disparities in mortality rates based on demographic variables. We also explored the impact of the SVI on CA mortality. RESULTS: A total of 4792 CA deaths in the young were identified. Overall AAMR decreased from 0.20 in 1999 to 0.14 in 2020 with an average annual percentage change of -1.3% (p = .001). Black (AAMR: 0.30) and male populations (AAMR: 0.14) had higher AAMR compared with White (AAMR: 0.11) and female (AAMR: 0.11) populations, respectively. Nonmetropolitan (AAMR: 0.29) and Southern (AAMR: 0.26) regions were also impacted by higher AAMR compared with metropolitan (AAMR: 0.11) and other US census regions, respectively. A higher SVI was associated with greater mortality risks related to CA (risk ratio: 1.82 [95% CI, 1.77-1.87]). CONCLUSIONS: Our analysis of CA in the young revealed disparities based on demographics, with a decline in AAMR from 1999 to 2020. There is a correlation between a higher SVI and increased CA mortality risk, highlighting the importance of targeted interventions to address these disparities effectively.

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.

Exploring Heart Failure Mortality Trends and Disparities in Women: A Retrospective Cohort Analysis.

Heart failure (HF) remains a significant cause of morbidity and mortality in women. Population-level analyses shed light on existing disparities and promote targeted interventions. We evaluated HF-related mortality data in women in the United States to identify disparities based on race/ethnicity, urbanization level, and geographic region. We conducted a retrospective cohort analysis utilizing the Centers for Disease Control and Prevention Wide-ranging Online Data for Epidemiologic Research database to identify HF-related mortality in the death files from 1999 to 2020. Age-adjusted HF mortality rates were standardized to the 2000 US population. We fit log-linear regression models to analyze mortality trends. Age-adjusted HF mortality rates in women have decreased significantly over time, from 97.95 in 1999 to 89.19 in 2020. Mortality mainly downtrended from 1999 to 2012, followed by a significant increase from 2012 to 2020. Our findings revealed disparities in mortality rates based on race and ethnicity, with the most affected population being non-Hispanic Black (age-adjusted mortality rates [AAMR] 90.36), followed by non-Hispanic White (AAMR 83.25), American Indian/Alaska Native (AAMR 64.27), and Asian/Pacific Islander populations (AAMR 37.46). We also observed that nonmetropolitan (AAMR 103.36) and Midwestern (AAMR 90.45) regions had higher age-adjusted mortality rates compared with metropolitan (AAMR 78.43) regions and other US census regions. In conclusion, significant differences in HF mortality rates were observed based on race/ethnicity, urbanization level, and geographic region. Disparities in HF outcomes persist and efforts to reduce HF-related mortality rates should focus on targeted interventions that address social determinants of health, including access to care and socioeconomic status.