Projections of Extreme Temperature-Related Deaths in the US.

Importance: Extreme heat in the US is increasing due to climate change, while extreme cold is projected to decline. Understanding how extreme temperature along with demographic changes will affect population health is important for devising policies to mitigate the health outcome of climate change. Objective: To assess the burden of extreme temperature-related deaths in the contiguous US currently (2008-2019) and estimate the burden in the mid-21st century (2036-2065). Design, Setting, and Participants: This cross-sectional study used historical (1979-2000) daily mean temperatures to calculate monthly extreme heat (>97.5th percentile value) and extreme cold days (<2.5th percentile value) for all contiguous US counties for 2008 to 2019 (current period). Temperature projections from 20 climate models and county population projections were used to estimate extreme temperature-related deaths for 2036 to 2065 (mid-21st century period). Data were analyzed from November 2023 to July 2024. Exposure: Current monthly frequency of extreme heat days and projected mid-21st century frequency using 2 greenhouse gas emissions scenarios: Shared Socioeconomic Pathway (SSP)2-4.5, representing socioeconomic development with a lower emissions increase, and SSP5-8.5, representing higher emissions increase. Main Outcomes and Measures: Mean annual estimated number of extreme temperature-related excess deaths. Poisson regression model with county, month, and year fixed effects was used to estimate the association between extreme temperature and monthly all-cause mortality for older adults (aged ≥65 years) and younger adults (aged 18-64 years). Results: Across the contiguous US, extreme temperature days were associated with 8248.6 (95% CI, 4242.6-12 254.6) deaths annually in the current period and with 19 348.7 (95% CI, 11 388.7-27 308.6) projected deaths in the SSP2-4.5 scenario and 26 574.0 (95% CI, 15 408.0-37 740.1) in the SSP5-8.5 scenario. The mortality data included 30 924 133 decedents, of whom 15 573 699 were males (50.4%), with 6.3% of Hispanic ethnicity, 11.5% of non-Hispanic Black race, and 79.3% of non-Hispanic White race. Non-Hispanic Black adults (278.2%; 95% CI, 158.9%-397.5%) and Hispanic adults (537.5%; 95% CI, 261.6%-813.4%) were projected to have greater increases in extreme temperature-related deaths from the current period to the mid-21st century period compared with non-Hispanic White adults (70.8%; 95% CI, -5.8% to 147.3%). Conclusions and Relevance: This cross-sectional study found that extreme temperature-related deaths in the contiguous US were projected to increase substantially by mid-21st century, with certain populations, such as non-Hispanic Black and Hispanic adults, projected to disproportionately experience this increase. The results point to the need to mitigate the adverse outcome of extreme temperatures for population health.

Medicaid Expansion And Outpatient Cardiovascular Care Use Among Low-Income Nonelderly Adults, 2012-15.

Adults with lower socioeconomic status have a disproportionately higher burden of cardiovascular disease. Medicaid expansion under the Affordable Care Act, which went into effect January 1, 2014, in adopting states, led to an expansion of health insurance coverage for low-income adults. To understand whether Medicaid expansion was associated with increased access to outpatient cardiovascular care in expansion states, we examined Medicaid Analytic eXtract administrative claims data for nonelderly adult beneficiaries from the period 2012-15 for two states that expanded Medicaid eligibility (New Jersey and Minnesota) and two states that did not (Georgia and Tennessee) and calculated population-level rates of cardiovascular care use. There was a 38.1 percent greater increase in expansion states in the rate of beneficiaries with outpatient visits for cardiovascular disease management associated with Medicaid expansion relative to nonexpansion states. This was accompanied by a 42.9 percent greater increase in the prescription rate for cardiovascular disease management agents. These results suggest that expansion of Medicaid eligibility was associated with an increase in cardiovascular care use among low-income nonelderly adults in expansion states.

Projected Change in the Burden of Excess Cardiovascular Deaths Associated With Extreme Heat by Midcentury (2036-2065) in the Contiguous United States.

BACKGROUND: Climate change is causing an increase in extreme heat. Individuals with cardiovascular disease are at high risk of heat-related adverse health effects. How the burden of extreme heat-associated cardiovascular deaths in the United States will change with the projected rise in extreme heat is unknown. METHODS: We obtained data on cardiovascular deaths among adults and the number of extreme heat days (maximum heat index ≥90 °F [32.2 °C]) in each county in the contiguous United States from 2008 to 2019. Based on representative concentration pathway trajectories that model greenhouse gas emissions and shared socioeconomic pathways (SSP) that model future socioeconomic scenarios and demographic projections, we obtained county-level projected numbers of extreme heat days and populations under 2 scenarios for the midcentury period 2036 to 2065: SSP2-4.5 (representing demographic projections from a "middle-of-the-road" socioeconomic scenario and an intermediate increase in emissions) and SSP5-8.5 (demographic projections in an economy based on "fossil-fueled development" and a large increase in emissions). The association of cardiovascular mortality with extreme heat was estimated with a Poisson fixed-effects model. Using estimates from this model, the projected number of excess cardiovascular deaths associated with extreme heat was calculated. RESULTS: Extreme heat was associated with 1651 (95% CI, 921-2381) excess cardiovascular deaths per year from 2008 to 2019. By midcentury, extreme heat is projected to be associated with 4320 (95% CI, 2369-6272) excess deaths annually, which is an increase of 162% (95% CI, 142-182) under SSP2-4.5, and 5491 (95% CI, 3011-7972) annual excess deaths, which is an increase of 233% (95% CI, 206-259) under SSP5-8.5. Elderly adults are projected to have a 3.5 (95% CI, 3.2-3.8) times greater increase in deaths in the SSP2-4.5 scenario compared with nonelderly adults. Non-Hispanic Black adults are projected to have a 4.6 (95% CI, 2.8-6.4) times greater increase compared with non-Hispanic White adults. The projected change in deaths was not statistically significantly different for other race and ethnicity groups or between men and women. CONCLUSIONS: By midcentury, extreme heat is projected to be associated with a significantly greater burden of excess cardiovascular deaths in the contiguous United States.

Cardiovascular Disease Burden and Outcomes Among American Indian and Alaska Native Medicare Beneficiaries.

Importance: American Indian and Alaska Native persons face significant health disparities; however, data regarding the burden of cardiovascular disease in the current era is limited. Objective: To determine the incidence and prevalence of cardiovascular disease, the burden of comorbid conditions, including cardiovascular disease risk factors, and associated mortality among American Indian and Alaska Native patients with Medicare insurance. Design, Setting, and Participants: This was a population-based cohort study conducted from January 2015 to December 2019 using Medicare administrative data. Participants included American Indian and Alaska Native Medicare beneficiaries 65 years and older enrolled in both Medicare part A and B fee-for-service Medicare. Statistical analyses were performed from November 2022 to April 2023. Main Outcomes and Measures: The annual incidence, prevalence, and mortality associated with coronary artery disease (CAD), heart failure (HF), atrial fibrillation/flutter (AF), and cerebrovascular disease (stroke or transient ischemic attack [TIA]). Results: Among 220 598 American Indian and Alaska Native Medicare beneficiaries, the median (IQR) age was 72.5 (68.5-79.0) years, 127 402 were female (57.8%), 78 438 (38.8%) came from communities in the most economically distressed quintile in the Distressed Communities Index. In the cohort, 44.8% of patients (98 833) were diagnosed with diabetes, 61.3% (135 124) were diagnosed with hyperlipidemia, and 72.2% (159 365) were diagnosed with hypertension during the study period. The prevalence of CAD was 38.6% (61 125 patients) in 2015 and 36.7% (68 130 patients) in 2019 (P < .001). The incidence of acute myocardial infarction increased from 6.9 per 1000 person-years in 2015 to 7.7 per 1000 patient-years in 2019 (percentage change, 4.79%; P < .001). The prevalence of HF was 22.9% (36 288 patients) in 2015 and 21.4% (39 857 patients) in 2019 (P < .001). The incidence of HF increased from 26.1 per 1000 person-years in 2015 to 27.0 per 1000 person-years in 2019 (percentage change, 4.08%; P < .001). AF had a stable prevalence of 9% during the study period (2015: 9.4% [14 899 patients] vs 2019: 9.3% [25 175 patients]). The incidence of stroke or TIA decreased slightly throughout the study period (12.7 per 1000 person-years in 2015 and 12.1 per 1000 person-years in 2019; percentage change, 5.08; P = .004). Fifty percent of patients (110 244) had at least 1 severe cardiovascular condition (CAD, HF, AF, or cerebrovascular disease), and the overall mortality rate for the cohort was 19.8% (43 589 patients). Conclusions and Relevance: In this large cohort study of American Indian and Alaska Native patients with Medicare insurance in the US, results suggest a significant burden of cardiovascular disease and cardiometabolic risk factors. These results highlight the critical need for future efforts to prioritize the cardiovascular health of this population.

Association of High-Deductible Health Plans With Health Care Use and Costs for Patients With Cardiovascular Disease.

Background By increasing cost sharing, high-deductible health plans (HDHPs) aim to reduce low-value health care use. The association of HDHPs with health care use and costs in patients with chronic cardiovascular disease is unknown. Methods and Results This longitudinal cohort study analyzed 57 690 privately insured patients, aged 18 to 64 years, from a large commercial claims database with chronic cardiovascular disease from 2011 to 2019. Health care entities in which all or most beneficiaries switched from being in a traditional plan to an HDHP were identified. A difference-in-differences design was used to account for differences between individuals who remained in traditional plans and those who switched to HDHPs and to assess changes in health care use and costs. Among the 934 individuals in the HDHP group and the 56 756 in the traditional plan group, switching to an HDHP was not associated with statistically significant changes in annual outpatient visits, hospitalizations, or emergency department visits (-8.3% [95% CI, -16.8 to 1.1], -28.5% [95% CI, -62.1 to 34.6], and 11.2% [95% CI, -20.9 to 56.5], respectively). Switching to an HDHP was associated with an increase of $921 (95% CI, $743-$1099) in out-of-pocket costs but no statistically significant difference in total health care costs. Conclusions Among commercially insured patients with chronic cardiovascular disease, switching to an HDHP was not associated with a change in health care use but was associated with an increase in out-of-pocket costs. Although health care use by individuals with chronic cardiovascular disease may not be sensitive to higher cost sharing associated with HDHP enrollment, there may be a significant increase in patients' financial burden.

Racial Differences in Presentation and Outcomes After Peripheral Arterial Interventions: Insights From the NCDR-PVI Registry.

BACKGROUND: We assess the rates of device use and outcomes by race among patients undergoing lower extremity peripheral arterial intervention using the American College of Cardiology National Cardiovascular Data Registry-Peripheral Vascular Intervention (PVI) registry. METHODS: Patients who underwent PVI between April 2014 and March 2019 were included. Socioeconomic status was evaluated using the Distressed Community Index score for patients' zip codes. Multivariable logistic regression was used to assess factors associated with utilization of drug-eluting technologies, intravascular imaging, and atherectomy. Among patients with Centers for Medicare and Medicaid Services data, we compared 1-year mortality, rates of amputation, and repeat revascularizations. RESULTS: Of 63 150 study cases, 55 719 (88.2%) were performed in White patients and 7431 (11.8%) in Black patients. Black patients were younger (67.9 versus 70.0 years), had higher rates of hypertension (94.4% versus 89.5%), diabetes (63.0% versus 46.2%), less likely to be able to walk 200 m (29.1% versus 24.8%), and higher Distressed Community Index scores (65.1 versus 50.6). Black patients were provided drug-eluting technologies at a higher rate (adjusted odds ratio, 1.14 [95% CI, 1.06-1.23]) with no difference in atherectomy (adjusted odds ratio, 0.98 [95% CI, 0.91-1.05]) or intravascular imaging (adjusted odds ratio, 1.03 [95% CI, 0.88-1.22]) use. Black patients experienced a lower rate of acute kidney injury (adjusted odds ratio, 0.79 [95% CI, 0.72-0.88]). In Centers for Medicare and Medicaid Services-linked analyses of 7429 cases (11.8%), Black patients were significantly less likely to have surgical (adjusted hazard ratio, 0.40 [95% CI, 0.17-0.96]) or repeat PVI revascularization (adjusted hazard ratio, 0.42 [95% CI, 0.30-0.59]) at 1 year compared with White patients. There was no difference in mortality (adjusted hazard ratio [0.8-1.4]) or major amputation (adjusted hazard ratio, 2.5 [95% CI, 0.8-7.6]) between Black and White patients. CONCLUSIONS: Black patients presenting for PVI were younger, had higher prevalence of comorbidities and lower socioeconomic status. After adjustment, Black patients were less likely to have surgical or repeat PVI revascularization after the index PVI procedure.

Association between racial residential segregation and Black-White disparities in cardiovascular disease mortality.

BACKGROUND: Racial residential segregation is associated with racial health inequities, but it is unclear if segregation may exacerbate Black-White disparities in cardiovascular disease (CVD) mortality. This study aimed to assess associations between Black-White residential segregation, CVD mortality rates among non-Hispanic (NH) Black and NH White populations, and Black-White disparities in CVD mortality. METHODS: This cross-sectional study analyzed Black-White residential segregation, as measured by county-level interaction index, of US counties, county-level CVD mortality among NH White and NH black adults aged 25 years and older, and county-level Black-White disparities in CVD mortality in years 2014 to 2017. Age-adjusted, county-level NH Black CVD mortality rates and NH White cardiovascular disease mortality rates, as well as group-level relative risk ratios for Black-White cardiovascular disease mortality, were calculated. Sequential generalized linear models adjusted for county-level socioeconomic and neighborhood factors were used to estimate associations between residential segregation and cardiovascular mortality rates among NH Black and NH White populations. Relative risk ratio tests were used to compare Black-White disparities in the most segregated counties to disparities in the least segregated counties. RESULTS: We included 1,286 counties with ≥5% Black populations in the main analysis. Among adults aged ≥25 years, there were 2,611,560 and 408,429 CVD deaths among NH White and NH Black individuals, respectively. In the unadjusted model, counties in the highest tertile of segregation had 9% higher (95% CI, 1%-20% higher, P = .04) rates of NH Black CVD mortality than counties in the lowest tertile of segregation. In the multivariable adjusted model, the most segregated counties had 15% higher (95% CI, 0.5% to 38% higher, P = .04) rates of NH Black CVD mortality than the least segregated counties. In the most segregated counties, NH Black individuals were 33% more likely to die of CVD than NH White individuals (RR 1.33, 95% CI 1.32 to 1.33, P < .001). CONCLUSIONS: Counties with increased Black-White residential segregation have higher rates of NH Black CVD mortality and larger Black-White disparities in CVD mortality. Identifying the causal mechanisms through which racial residential segregation widens disparities in CVD mortality requires further study.

Racial, Ethnic, and Socioeconomic Inequities in Access to Left Atrial Appendage Occlusion.

Background Inequitable access to high-technology therapeutics may perpetuate inequities in care. We examined the characteristics of US hospitals that did and did not establish left atrial appendage occlusion (LAAO) programs, the patient populations those hospitals served, and the associations between zip code-level racial, ethnic, and socioeconomic composition and rates of LAAO among Medicare beneficiaries living within large metropolitan areas with LAAO programs. Methods and Results We conducted cross-sectional analyses of Medicare fee-for-service claims for beneficiaries aged 66 years or older between 2016 and 2019. We identified hospitals establishing LAAO programs during the study period. We used generalized linear mixed models to measure the association between zip code-level racial, ethnic, and socioeconomic composition and age-adjusted rates of LAAO in the most populous 25 metropolitan areas with LAAO sites. During the study period, 507 candidate hospitals started LAAO programs, and 745 candidate hospitals did not. Most new LAAO programs opened in metropolitan areas (97.4%). Compared with non-LAAO centers, LAAO centers treated patients with higher median household incomes (difference of $913 [95% CI, $197-$1629], P=0.01). Zip code-level rates of LAAO procedures per 100 000 Medicare beneficiaries in large metropolitan areas were 0.34% (95% CI, 0.33%-0.35%) lower for each $1000 zip code-level decrease in median household income. After adjustment for socioeconomic markers, age, and clinical comorbidities, LAAO rates were lower in zip codes with higher proportions of Black or Hispanic patients. Conclusions Growth in LAAO programs in the United States had been concentrated in metropolitan areas. LAAO centers treated wealthier patient populations in hospitals without LAAO programs. Within major metropolitan areas with LAAO programs, zip codes with higher proportions of Black and Hispanic patients and more patients experiencing socioeconomic disadvantage had lower age-adjusted rates of LAAO. Thus, geographic proximity alone may not ensure equitable access to LAAO. Unequal access to LAAO may reflect disparities in referral patterns, rates of diagnosis, and preferences for using novel therapies experienced by racial and ethnic minority groups and patients experiencing socioeconomic disadvantage.

Association Between Community-Level Violent Crime and Cardiovascular Mortality in Chicago: A Longitudinal Analysis.

Background Violent crime has recently increased in many major metropolitan cities in the United States. Prior studies suggest an association between neighborhood crime levels and cardiovascular disease, but many have been limited by cross-sectional designs. We investigated whether longitudinal changes in violent crime rates are associated with changes in cardiovascular mortality rates at the community level in one large US city-Chicago, IL. Methods and Results Chicago is composed of 77 community areas. Age-adjusted mortality rates by community area for cardiovascular disease, stroke, and coronary artery disease from 2000 to 2014, aggregated at 5-year intervals, were obtained from the Illinois Department of Public Health Division of Vital Records. Mean total and violent crime rates by community area were obtained from the City of Chicago Police Data Portal. Using a 2-way fixed effects estimator, we assessed the association between longitudinal changes in violent crime and cardiovascular mortality rates after accounting for changes in demographic and economic variables and secular time trends at the community area level from 2000 to 2014. Between 2000 and 2014, the median violent crime rate in Chicago decreased from 3620 per 100 000 (interquartile range [IQR], 2256, 7777) in the 2000 to 2004 period to 2390 (IQR 1507, 5745) in the 2010 to 2014 period (P=0.005 for trend). In the fixed effects model a 1% decrease in community area violent crime rate was associated with a 0.21% (95% CI, 0.09-0.33) decrease in cardiovascular mortality rates (P=<0.001) and a 0.19% (95% CI, 0.04-0.33) decrease in coronary artery disease mortality rates (P=0.01). There was no statistically significant association between change in violent crime and stroke mortality rates (-0.17% [95% CI, -0.42 to 0.08; P=0.18]). Conclusions From 2000 to 2014, a greater decrease in violent crime at the community area level was associated with a greater decrease in cardiovascular and coronary artery disease mortality rates in Chicago. These findings add to the growing evidence of the impact of the built environment on health and implicate violent crime exposure as a potential social determinant of cardiovascular health. Targeted investment in communities to decrease violent crime may improve community cardiovascular health.

Predictors of telemedicine use during the COVID-19 pandemic in the United States-an analysis of a national electronic medical record database.

Telemedicine utilization increased significantly in the United States during the COVID-19 pandemic. However, there is concern that disadvantaged groups face barriers to access based on single-center studies. Whether there has been equitable access to telemedicine services across the US and during later parts of the pandemic is unclear. This study retrospectively analyzes outpatient medical encounters for patients 18 years of age and older using Healthjump-a national electronic medical record database-from March 1 to December 31, 2020. A mixed effects multivariable logistic regression model was used to assess the association between telemedicine utilization and patient and area-level factors and the odds of having at least one telemedicine encounter during the study period. Among 1,999,534 unique patients 21.6% had a telemedicine encounter during the study period. In the multivariable model, age [OR = 0.995 (95% CI 0.993, 0.997); p<0.001], non-Hispanic Black race [OR = 0.88 (95% CI 0.84, 0.93); p<0.001], and English as primary language [OR = 0.78 (95% CI 0.74, 0.83); p<0.001] were associated with a lower odds of telemedicine utilization. Female gender [OR = 1.24 (95% CI 1.22, 1.27); p<0.001], Hispanic ethnicity or non-Hispanic other race [OR = 1.40 (95% CI 1.33, 1.46);p<0.001 and 1.29 (95% CI 1.20, 1.38); p<0.001, respectively] were associated with a higher odds of telemedicine utilization. During the COVID-19 pandemic, therefore, utilization of telemedicine differed significantly among patient groups, with older and non-Hispanic Black patients less likely to have telemedicine encounters. These findings are relevant for ongoing efforts regarding the nature of telemedicine as the COVID-19 pandemic ends.

Association of Extreme Heat and Cardiovascular Mortality in the United States: A County-Level Longitudinal Analysis From 2008 to 2017.

BACKGROUND: Extreme-heat events are increasing as a result of climate change. Prior studies, typically limited to urban settings, suggest an association between extreme heat and cardiovascular mortality. However, the extent of the burden of cardiovascular deaths associated with extreme heat across the United States and in different age, sex, or race and ethnicity subgroups is unclear. METHODS: County-level daily maximum heat index levels for all counties in the contiguous United States in summer months (May-September) and monthly cardiovascular mortality rates for adults ≥20 years of age were obtained. For each county, an extreme-heat day was identified if the maximum heat index was ≥90 °F (32.2 °C) and in the 99th percentile of the maximum heat index in the baseline period (1979-2007) for that day. Spatial empirical Bayes smoothed monthly cardiovascular mortality rates from 2008 to 2017 were the primary outcome. A Poisson fixed-effects regression model was estimated with the monthly number of extreme-heat days as the independent variable of interest. The model included time-fixed effects and time-varying environmental, economic, demographic, and health care-related variables. RESULTS: Across 3108 counties, from 2008 to 2017, each additional extreme-heat day was associated with a 0.12% (95% CI, 0.04%-0.21%; P=0.004) higher monthly cardiovascular mortality rate. Extreme heat was associated with an estimated 5958 (95% CI, 1847-10 069) additional deaths resulting from cardiovascular disease over the study period. In subgroup analyses, extreme heat was associated with a greater relative increase in mortality rates among men compared with women (0.20% [95% CI, 0.07%-0.33%]) and non-Hispanic Black compared with non-Hispanic White adults (0.19% [95% CI, 0.01%-0.37%]). There was a greater absolute increase among elderly adults compared with nonelderly adults (16.6 [95% CI, 14.6-31.8] additional deaths per 10 million individuals per month). CONCLUSIONS: Extreme-heat days were associated with higher adult cardiovascular mortality rates in the contiguous United States between 2008 and 2017. This association was heterogeneous among age, sex, race, and ethnicity subgroups. As extreme-heat events increase, the burden of cardiovascular mortality may continue to increase, and the disparities between demographic subgroups may widen.

Association of Extreme Heat With All-Cause Mortality in the Contiguous US, 2008-2017.

Importance: The number of extreme heat events is increasing because of climate change. Previous studies showing an association between extreme heat and higher mortality rates generally have been limited to urban areas, and whether there is heterogeneity across different populations is not well studied; understanding whether this association varies across different communities, particularly minoritized racial and ethnic groups, may allow for more targeted mitigation efforts. Objective: To the assess the association between extreme heat and all-cause mortality rates in the US. Design, Setting, and Participants: This cross-sectional study involved a longitudinal analysis of the association between the number of extreme heat days in summer months from 2008 to 2017 (obtained from the Centers for Disease Control and Prevention's Environmental Public Health Tracking Program) and county-level all-cause mortality rates (obtained from the National Center for Health Statistics), using a linear fixed-effects model across all counties in the contiguous US among adults aged 20 years and older. Data analysis was performed from September 2021 to March 2022. Exposures: The number of extreme heat days per month. Extreme heat was identified if the maximum heat index was greater than or equal to 90 °F (32.2 °C) and in the 99th percentile of the maximum heat index in the baseline period (1979 to 2007). Main Outcomes and Measures: County-level, age-adjusted, all-cause mortality rates. Results: There were 219 495 240 adults aged 20 years and older residing in the contiguous US in 2008, of whom 113 294 043 (51.6%) were female and 38 542 838 (17.6%) were older than 65 years. From 2008 to 2017, the median (IQR) number of extreme heat days during summer months in all 3108 counties in the contiguous US was 89 (61-122) days. After accounting for time-invariant confounding, secular time trends, and time-varying environmental and economic measures, each additional extreme heat day in a month was associated with 0.07 additional death per 100 000 adults (95% CI, 0.03-0.10 death per 100 000 adults; P = .001). In subgroup analyses, greater increases in mortality rates were found for older vs younger adults (0.19 death per 100 000 individuals; 95% CI, 0.04-0.34 death per 100 000 individuals), male vs female adults (0.12 death per 100 000 individuals; 95% CI, 0.05-0.18 death per 100 000 individuals), and non-Hispanic Black vs non-Hispanic White adults (0.11 death per 100 000 individuals; 95% CI, 0.02-0.20 death per 100 000 individuals). Conclusions and Relevance: These findings suggest that from 2008 to 2017, extreme heat was associated with higher all-cause mortality in the contiguous US, with a greater increase noted among older adults, men, and non-Hispanic Black individuals. Without mitigation, the projected increase in extreme heat due to climate change may widen health disparities between groups.

Identifying Racial, Ethnic, and Socioeconomic Inequities in the Use of Novel P2Y12 Inhibitors After Percutaneous Coronary Intervention.

BACKGROUND: Novel P2Y12 inhibitors prasugrel and ticagrelor were approved for patients with acute coronary syndrome (ACS) in 2009 and 2011, respectively. We assessed the association of racial, ethnic, and socioeconomic factors with initiation of and adherence to novel P2Y12 inhibitors in a commercially insured population. METHODS: We performed a retrospective cohort analysis of adults undergoing percutaneous coronary intervention with placement of a drug-eluting stent, stratified by ACS status, between January 2008 and December 2016 using Clinformatics Data Mart (OptumInsight). We estimated multivariable logistic regression models to identify factors associated with the initiation of clopidogrel vs novel P2Y12 inhibitors as well as subsequent 6-month medication adherence, assessed via pharmacy records. RESULTS: A total of 55,664 patients were included in the analysis. Hispanic ethnicity was independently associated with the initiation of clopidogrel compared with novel P2Y12 inhibitors among ACS patients (odds ratio [OR], 1.19; 95% confidence interval [CI], 1.04-1.36; P<.01). ACS patients with an annual median household income of over $100,000 were less likely to be started on clopidogrel when compared with those who earned less than $40,000 (OR, 0.67; 95% CI, 0.61-0.75; P<.01). Black race, Hispanic ethnicity, and lower household income were each associated with significantly reduced odds of P2Y12 inhibitor adherence. CONCLUSION: Hispanic ethnicity and lower household income were associated with novel P2Y12 inhibitor initiation, and non-White race and ethnicity were associated with lower P2Y12 inhibitor adherence over 6-month follow-up. These findings highlight continued inequity of care, even in an insured population, and point to a need for new strategies to close these gaps.

Racial, Ethnic, and Socioeconomic Disparities in Access to Transcatheter Aortic Valve Replacement Within Major Metropolitan Areas.

Importance: Despite the benefits of high-technology therapeutics, inequitable access to these technologies may generate disparities in care. Objective: To examine the association between zip code-level racial, ethnic, and socioeconomic composition and rates of transcatheter aortic valve replacement (TAVR) among Medicare patients living within large metropolitan areas with TAVR programs. Design, Setting, and Participants: This multicenter, nationwide cross-sectional analysis of Medicare claims data between January 1, 2012, and December 31, 2018, included beneficiaries of fee-for-service Medicare who were 66 years or older living in the 25 largest metropolitan core-based statistical areas. Exposure: Receipt of TAVR. Main Outcomes and Measures: The association between zip code-level racial, ethnic, and socioeconomic composition and rates of TAVR per 100 000 Medicare beneficiaries. Results: Within the studied metropolitan areas, there were 7590 individual zip codes. The mean (SD) age of Medicare beneficiaries within these areas was 71.4 (2.0) years, a mean (SD) of 47.6% (5.8%) of beneficiaries were men, and a mean (SD) of 4.0% (7.0%) were Asian, 11.1% (18.9%) were Black, 8.0% (12.9%) were Hispanic, and 73.8% (24.9%) were White. The mean number of TAVRs per 100 000 Medicare beneficiaries by zip code was 249 (IQR, 0-429). For each $1000 decrease in median household income, the number of TAVR procedures performed per 100 000 Medicare beneficiaries was 0.2% (95% CI, 0.1%-0.4%) lower (P = .002). For each 1% increase in the proportion of patients who were dually eligible for Medicaid services, the number of TAVR procedures performed per 100 000 Medicare beneficiaries was 2.1% (95% CI, 1.3%-2.9%) lower (P < .001). For each 1-unit increase in the Distressed Communities Index score, the number of TAVR procedures performed per 100 000 Medicare beneficiaries was 0.4% (95% CI, 0.2%-0.5%) lower (P < .001). Rates of TAVR were lower in zip codes with higher proportions of patients of Black race and Hispanic ethnicity, despite adjusting for socioeconomic markers, age, and clinical comorbidities. Conclusions and Relevance: Within major metropolitan areas in the US with TAVR programs, zip codes with higher proportions of Black and Hispanic patients and those with greater socioeconomic disadvantages had lower rates of TAVR, adjusting for age and clinical comorbidities. Whether this reflects a different burden of symptomatic aortic stenosis by race and socioeconomic status or disparities in use of TAVR requires further study.

Changes in County-Level Economic Prosperity Are Associated With Liver Disease-Related Mortality Among Working-Age Adults.

BACKGROUND & AIMS: There is significant variability in county-level rates of liver disease-related mortality. Although this variability is explained partly by demographics, risk factors for liver disease, and access to specialty liver care, little is known about temporal changes in mortality, and its association with economic prosperity. Therefore, we sought to explore the association between changes in county-level economic prosperity and liver disease-related mortality. METHODS: We performed a retrospective cohort study using county-level mortality data from the Centers for Disease Control and Prevention, economic prosperity measures from the Distressed Communities Index, and county-level markers of demographics, risk factors for liver disease, and access to health care. Primary analyses focused on adults aged 20 to 64 years of age. We used generalized linear mixed models (outcome = annual percentage change in age-adjusted liver disease-related mortality), with the primary exposure being an interaction between year and change in economic prosperity. RESULTS: There was an inverse relationship between county-level changes in economic prosperity and changes in county-level age-adjusted liver disease-related mortality rates (eg, counties with the smallest increase in economic prosperity had the biggest annual increase in liver disease-related mortality). In generalized linear mixed models accounting for county-level covariates, there was a significant association between economic prosperity and liver disease-related mortality, that is, for every 10-point higher mean rank for change in economic prosperity, there was an additional 0.65% decrease (95% CI, 0.19%-1.10%; P = .006) in mortality per year. CONCLUSIONS: County-level changes in economic prosperity, independent of other county-level clinical, demographic, and access-to-care variables, may play a role in population-level trends in liver disease-related deaths among the working age population.

Impact of Medicaid Expansion on Liver-Related Mortality.

BACKGROUND & AIMS: The Affordable Care Act provided the opportunity for states to expand Medicaid for low-income individuals. Not all states adopted Medicaid expansion, and the timing of adoption among expansion states varied. Prior studies have shown that Medicaid expansion improved mortality rates for several chronic conditions. Although there are data on the association between Medicaid expansion on insurance type among patients waitlisted for a liver transplant, there are no published data to date on its impact on liver disease-related mortality in the broader population. We therefore sought to evaluate the association between Medicaid expansion and state-level liver disease-related mortality using a quasi-experimental study design. METHODS: We evaluated age-adjusted, state-level, liver disease-related mortality rates using the Centers for Disease Control and Prevention data. We fit multivariable linear regression models that accounted for sociodemographic, clinical, and access-to-care variables at the state level, and a difference-in-difference estimator to evaluate the association between Medicaid expansion and liver disease-related mortality. RESULTS: In multivariable linear regression models, there was a significant association between Medicaid expansion and liver disease-related mortality (P = .02). Medicaid expansion was associated with 8.3 (95% CI, 1.6-15.1) fewer deaths from liver disease per 1,000,000 adult residents per year after Medicaid expansion compared with what would have been expected to occur if those states followed the same trajectory as nonexpansion states. The impact of Medicaid expansion translated to 870 fewer liver-related deaths per year in expansion states (4350 in the postexpansion study period from 2014 to 2018). CONCLUSIONS: These data support the contention that Medicaid expansion has been associated with significantly decreased liver disease-related mortality. Universal Medicaid expansion could further decrease liver disease-related mortality in the United States.

Changes in Supplemental Nutrition Assistance Program Policies and Diabetes Prevalence: Analysis of Behavioral Risk Factor Surveillance System Data From 2004 to 2014.

OBJECTIVE: Food insecurity is associated with diabetes. The Supplemental Nutrition Assistance Program (SNAP) is the largest U.S. government food assistance program. Whether such programs impact diabetes trends is unclear. The objective of this study was to evaluate the association between changes in state-level policies affecting SNAP participation and county-level diabetes prevalence. RESEARCH DESIGN AND METHODS: We evaluated the association between change in county-level diabetes prevalence and changes in the U.S. Department of Agriculture SNAP policy index-a measure of adoption of state-level policies associated with increased SNAP participation (higher value indicating adoption of more policies associated with increased SNAP participation; range 1-10)-from 2004 to 2014 using g-computation, a robust causal inference methodology. The study included all U.S. counties with diabetes prevalence data available from the Centers for Disease Control and Prevention's U.S. Diabetes Surveillance System. RESULTS: The study included 3,135 of 3,143 U.S. counties. Mean diabetes prevalence increased from 7.3% (SD 1.3) in 2004 to 9.1% (SD 1.8) in 2014. The mean SNAP policy index increased from 6.4 (SD 0.9) to 8.2 (SD 0.6) in 2014. After accounting for changes in demographic-, economic-, and health care-related variables and the baseline SNAP policy index, a 1-point absolute increase in the SNAP policy index between 2004 and 2014 was associated with a 0.050 (95% CI 0.042-0.057) percentage point lower diabetes prevalence per year. CONCLUSIONS: State policies aimed at increasing SNAP participation were independently associated with a lower rise in diabetes prevalence between 2004 and 2014.