Novel County-Level Non-Communicable Disease Risk (NCDR) Groups are Associated with Contemporary Cardiovascular Mortality Related to Heart Failure in the United States, 2016-18

2020 ◽  
Vol 26 (10) ◽  
pp. S80-S81
Author(s):  
Quentin Youmas ◽  
Megan McCabe ◽  
Clyde W. Yancy ◽  
Lucia Petito ◽  
Kiarra N. Kershaw ◽  
...  
2020 ◽  
Vol 13 (2) ◽  
Author(s):  
Sarah Chuzi ◽  
Rebecca Molsberry ◽  
Adeboye Ogunseitan ◽  
Haider J. Warraich ◽  
Jane E. Wilcox ◽  
...  

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0246813
Author(s):  
Jacob B. Pierce ◽  
Nilay S. Shah ◽  
Lucia C. Petito ◽  
Lindsay Pool ◽  
Donald M. Lloyd-Jones ◽  
...  

Background Adults in rural counties in the United States (US) experience higher rates broadly of cardiovascular disease (CVD) compared with adults in urban counties. Mortality rates specifically due to heart failure (HF) have increased since 2011, but estimates of heterogeneity at the county-level in HF-related mortality have not been produced. The objectives of this study were 1) to quantify nationwide trends by rural-urban designation and 2) examine county-level factors associated with rural-urban differences in HF-related mortality rates. Methods and findings We queried CDC WONDER to identify HF deaths between 2011–2018 defined as CVD (I00-78) as the underlying cause of death and HF (I50) as a contributing cause of death. First, we calculated national age-adjusted mortality rates (AAMR) and examined trends stratified by rural-urban status (defined using 2013 NCHS Urban-Rural Classification Scheme), age (35–64 and 65–84 years), and race-sex subgroups per year. Second, we combined all deaths from 2011–2018 and estimated incidence rate ratios (IRR) in HF-related mortality for rural versus urban counties using multivariable negative binomial regression models with adjustment for demographic and socioeconomic characteristics, risk factor prevalence, and physician density. Between 2011–2018, 162,314 and 580,305 HF-related deaths occurred in rural and urban counties, respectively. AAMRs were consistently higher for residents in rural compared with urban counties (73.2 [95% CI: 72.2–74.2] vs. 57.2 [56.8–57.6] in 2018, respectively). The highest AAMR was observed in rural Black men (131.1 [123.3–138.9] in 2018) with greatest increases in HF-related mortality in those 35–64 years (+6.1%/year). The rural-urban IRR persisted among both younger (1.10 [1.04–1.16]) and older adults (1.04 [1.02–1.07]) after adjustment for county-level factors. Main limitations included lack of individual-level data and county dropout due to low event rates (<20). Conclusions Differences in county-level factors may account for a significant amount of the observed variation in HF-related mortality between rural and urban counties. Efforts to reduce the rural-urban disparity in HF-related mortality rates will likely require diverse public health and clinical interventions targeting the underlying causes of this disparity.


2021 ◽  
Vol 10 (4) ◽  
Author(s):  
Adam S. Vaughan ◽  
Mary G. George ◽  
Sandra L. Jackson ◽  
Linda Schieb ◽  
Michele Casper

Background Amid recently rising heart failure (HF) death rates in the United States, we describe county‐level trends in HF mortality from 1999 to 2018 by racial/ethnic group and sex for ages 35 to 64 years and 65 years and older. Methods and Results Applying a hierarchical Bayesian model to National Vital Statistics data representing all US deaths, ages 35 years and older, we estimated annual age‐standardized county‐level HF death rates and percent change by age group, racial/ethnic group, and sex from 1999 through 2018. During 1999 to 2011, ~30% of counties experienced increasing HF death rates among adults ages 35 to 64 years. However, during 2011 to 2018, 86.9% (95% CI, 85.2–88.2) of counties experienced increasing mortality. Likewise, for ages 65 years and older, during 1999 to 2005 and 2005 to 2011, 27.8% (95% CI, 25.8–29.8) and 12.6% (95% CI, 11.2–13.9) of counties, respectively, experienced increasing mortality. However, during 2011 to 2018, most counties (67.4% [95% CI, 65.4–69.5]) experienced increasing mortality. These temporal patterns by age group held across racial/ethnic group and sex. Conclusions These results provide local context to previously documented recent national increases in HF death rates. Although county‐level declines were most common before 2011, some counties and demographic groups experienced increasing HF death rates during this period of national declines. However, recent county‐level increases were pervasive, occurring across counties, racial/ethnic group, and sex, particularly among ages 35 to 64 years. These spatiotemporal patterns highlight the need to identify and address underlying clinical risk factors and social determinants of health contributing to these increasing trends.


2020 ◽  
Vol 26 (10) ◽  
pp. S11
Author(s):  
Jacob B. Pierce ◽  
Nilay S. Shah ◽  
Lucia C. Petito ◽  
Lindsay Pool ◽  
Donald M. Lloyd-Jones ◽  
...  

2019 ◽  
Vol 25 (8) ◽  
pp. S91-S92
Author(s):  
Peter Glynn ◽  
Rebecca Molsberry ◽  
Nilay S. Shah ◽  
Clyde W. Yancy ◽  
Donald M. Lloyd-Jones ◽  
...  

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Daniel W. Riggs ◽  
Ray Yeager ◽  
Natalie C. Dupre ◽  
Shesh N. Rai ◽  
Peter James ◽  
...  

2022 ◽  
Vol 22 (1) ◽  
Author(s):  
Sadiya S. Khan ◽  
Amy E. Krefman ◽  
Megan E. McCabe ◽  
Lucia C. Petito ◽  
Xiaoyun Yang ◽  
...  

Abstract Background Geographic heterogeneity in COVID-19 outcomes in the United States is well-documented and has been linked with factors at the county level, including sociodemographic and health factors. Whether an integrated measure of place-based risk can classify counties at high risk for COVID-19 outcomes is not known. Methods We conducted an ecological nationwide analysis of 2,701 US counties from 1/21/20 to 2/17/21. County-level characteristics across multiple domains, including demographic, socioeconomic, healthcare access, physical environment, and health factor prevalence were harmonized and linked from a variety of sources. We performed latent class analysis to identify distinct groups of counties based on multiple sociodemographic, health, and environmental domains and examined the association with COVID-19 cases and deaths per 100,000 population. Results Analysis of 25.9 million COVID-19 cases and 481,238 COVID-19 deaths revealed large between-county differences with widespread geographic dispersion, with the gap in cumulative cases and death rates between counties in the 90th and 10th percentile of 6,581 and 291 per 100,000, respectively. Counties from rural areas tended to cluster together compared with urban areas and were further stratified by social determinants of health factors that reflected high and low social vulnerability. Highest rates of cumulative COVID-19 cases (9,557 [2,520]) and deaths (210 [97]) per 100,000 occurred in the cluster comprised of rural disadvantaged counties. Conclusions County-level COVID-19 cases and deaths had substantial disparities with heterogeneous geographic spread across the US. The approach to county-level risk characterization used in this study has the potential to provide novel insights into communicable disease patterns and disparities at the local level.


2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S988-S989
Author(s):  
Stephanie A Kujawski ◽  
Gayle Langley ◽  
Gayle Langley ◽  
Evan J Anderson ◽  
Ann Thomas ◽  
...  

Abstract Background Respiratory syncytial virus (RSV) can cause severe disease in older adults and adults with cardiopulmonary conditions, such as congestive heart failure (CHF). RSV vaccines in development may target adults based on age or medical conditions. We assessed rates of RSV infection in hospitalized adults by CHF status using RSV surveillance conducted through the Centers for Disease Control and Prevention’s Emerging Infections Program, a population-based platform in the United States Methods RSV surveillance was performed during two seasons (2015–2017) from October 1–April 30 at seven US sites covering an annual catchment population up to 13.7 million adults. Adults (≥ 18 years) admitted to a hospital from the catchment area and with laboratory-confirmed RSV infections identified by clinician-directed testing were included. Demographic data and any history of CHF were abstracted from medical charts. For adults ≥ 65 years, county-level CHF prevalence was obtained from 2015 Centers for Medicare and Medicaid Services (CMS) data. To estimate county-level CHF prevalence for adults < 65 years, we used 2015–2016 National Health and Nutrition Examination Survey and CMS data. We calculated crude incidence rates (and 95% exact Poisson confidence intervals) of RSV by CHF status and age group (< 65 years vs. ≥ 65 years) using RSV cases (numerator) and catchment area county-level population estimates from the US Census (denominator). Results During 2015–2017, a total of 2,211 hospitalized RSV cases were identified; 2,055 (92.9%) had CHF status documented. The majority were ≥ 65 years (n = 1236, 60.1%) and 26.8% (n = 550) had CHF. The crude rate of RSV was 62.7 (95% CI: 57.5–68.2) per 100,000 population in adults with CHF compared with 6.1 (95% CI: 5.7–6.4) per 100,000 population in adults without CHF (rate ratio: 10.3, 95% CI: 9.3–11.3). In both age groups, those with CHF had higher rates of RSV than those without CHF. Rates were highest in adults ≥ 65 years with CHF (73.4 per 100,000 population, 95% CI: 66.4–80.9). Conclusion Using population-based surveillance, we found that adults with CHF had RSV hospitalization rates 10 times higher than those without CHF. Identifying high-risk populations for RSV infection are critical to inform clinical practice and future RSV vaccine policy. Disclosures All authors: No reported disclosures.


Sign in / Sign up

Export Citation Format

Share Document