Cardiovascular hospitalizations and mortality among adults aged 25-64 years in the USA.

BACKGROUND AND AIMS: Declines in cardiovascular mortality have stagnated in the USA since 2011. There is growing concern that these patterns reflect worsening cardiovascular health in younger adults. However, little is known about how the burden of acute cardiovascular hospitalizations and mortality has changed in this population. Changes in cardiovascular hospitalizations and mortality among adults aged 25-64 years were evaluated, overall and by community-level income. METHODS: Using the National Inpatient Sample, age-standardized annual hospitalization and in-hospital mortality rates for acute myocardial infarction (AMI), heart failure, and ischaemic stroke were determined among adults aged 25-64 years. Quasi-Poisson and quasi-binominal regression models were fitted to compare outcomes between individuals residing in low- and higher-income communities. RESULTS: Between 2008 and 2019, age-standardized hospitalization rates for AMI increased among younger adults from 155.0 (95% confidence interval: 154.6, 155.4) per 100 000 to 160.7 (160.3, 161.1) per 100 000 (absolute change +5.7 [5.0, 6.3], P < .001). Heart failure hospitalizations also increased (165.3 [164.8, 165.7] to 225.3 [224.8, 225.8], absolute change +60.0 (59.3, 60.6), P < .001), as ischaemic stroke hospitalizations (76.3 [76.1, 76.7] to 108.1 [107.8, 108.5], absolute change +31.7 (31.2, 32.2), P < .001). Across all conditions, hospitalizations rates were significantly higher among younger adults residing in low-income compared with higher-income communities, and disparities did not narrow between groups. In-hospital mortality decreased for all conditions over the study period. CONCLUSIONS: There was an alarming increase in cardiovascular hospitalizations among younger adults in the USA from 2008 to 2019, and disparities between those residing in low- and higher-income communities did not narrow.

Value-Based Payment for Clinicians Treating Cardiovascular Disease: A Policy Statement From the American Heart Association.

Clinician payment is transitioning from fee-for-service to value-based payment, with reimbursement tied to health care quality and cost. However, the overarching goals of value-based payment-to improve health care quality, lower costs, or both-have been largely unmet. This policy statement reviews the current state of value-based payment and provides recommended best practices for future design and implementation. The policy statement is divided into sections that detail different aspects of value-based payment: (1) key program design features (patient population, quality measurement, cost measurement, and risk adjustment), (2) the role of equity during design and evaluation, (3) adjustment of payment, and (4) program implementation and evaluation. Each section introduces the topic, describes important considerations, and lists examples from existing programs. Each section includes recommended best practices for future program design. The policy statement highlights 4 key themes for successful value-based payment. First, programs should carefully weigh the incentives between lowering cost and improving quality of care and ensure that there is adequate focus on quality of care. Second, the expansion of value-based payment should be a tool for improving equity, which is central to quality of care and should be a focal point of program design and evaluation. Third, value-based payment should continue to move away from fee for service toward more flexible funding that allows clinicians to focus resources on the interventions that best help patients. Last, successful programs should find ways to channel clinicians' intrinsic motivation to improve their performance and the care for their patients. These principles should guide the future development of clinician value-based payment models.

From Policy to Practice: Assessing the State Innovation Models Initiative's Early Success in Incorporating Social Determinants of Health in ASCVD Hospitalizations in the United States.

The study examines effects of the CMS State Innovation Models(SIM) on capturing social risk factors in adults hospitalized with Atherosclerotic Cardiovascular Disease (ASCVD). Using a difference-in-differences(DID) approach with propensity score weights, the study compared documentation of secondary diagnosis of SDOH/social factors using ICD-9 V codes ("SDOH codes") in adults hospitalized with ASCVD as a primary diagnosis (N= 1,485,354). Data were gathered from January 1, 2010, to September 30, 2015, covering the period before and after the SIM implementation in October 2013. From January 2010 to September 2015, SDOH codes were infrequently utilized among adults with ASCVD(0.55%, 95% CI: 0.43%-0.67%). SDOH codes with ASCVD increased from pre- to post-period in SIM states(0.56% to 0.93%) and comparison states (0.46% to 0.56%). SIM implementation was associated with greater improvement in SDOH codes utilization (adjusted OR 1.30, 95%CI: 1.18-1.43) during ASCVD hospitalizations. The odds of SDOH codes utilization were 86% higher in ED admissions(AOR 1.86, 95%CI: 1.76-1.97) than in routine admissions with ASCVD. Findings were similar when limiting population to older adults(>=65 years) enrolled in Medicare(AOR 1.50, 95%CI 1.31-1.71), whereas not significant for Medicaid beneficiaries. The study points to challenges for healthcare providers in documenting SDOH in adults with ASCVD.

Out-of-pocket prescription drug costs for adults with cardiovascular risk factors under Amazon's direct-to-consumer pharmacy service.

BACKGROUND: US adults often overpay for generic prescription medications, which can lead to medication nonadherence that negatively impacts cardiovascular outcomes. As a result, new direct-to-consumer online medication services are growing in popularity nationwide. Amazon recently launched a $5/month direct-to-consumer medication subscription service (Amazon RxPass), but it is unclear how many US adults could save on out-of-pocket drug costs by using this new service. OBJECTIVES: To estimate out-of-pocket savings on generic prescription medications achievable through Amazon's new direct-to-consumer subscription medication service for adults with cardiovascular risk factors and/or conditions. METHODS: Cross-sectional study of adults 18-64 years in the 2019 Medical Expenditure Panel Survey. RESULTS: Of the 25,280,517 (SE ± 934,809) adults aged 18-64 years with cardiovascular risk factors or conditions who were prescribed at least 1 medication available in the Amazon RxPass formulary, only 6.4% (1,624,587 [SE ± 68,571]) would achieve savings. Among those achieving savings, the estimated average out-of-pocket savings would be $140 (SE ± $15.8) per person per year, amounting to a total savings of $228,093,570 (SE ± $26,117,241). In multivariable regression models, lack of insurance coverage (adjusted odds ratio [OR] 3.5, 95%CI 1.9-6.5) and being prescribed a greater number of RxPass-eligible medications (2-3 medications versus 1 medication: OR 5.6, 95%CI 3.0-10.3; 4+ medications: OR 21.8, 95%CI 10.7-44.3) were each associated with a higher likelihood of achieving out-of-pocket savings from RxPass. CONCLUSIONS: Changes to the pricing structure of Amazon's direct-to-consumer medication service are needed to expand out-of-pocket savings on generic medications to a larger segment of the working-age adults with cardiovascular risk factors and/or diseases.

IV Diuresis in Alternative Treatment Settings for the Management of Heart Failure: Implications for Mortality, Hospitalizations and Cost.

BACKGROUND: Recent advances in heart failure (HF) care have sought to shift management from inpatient to outpatient and observation settings. We evaluated the association among HF treatment in the (1) inpatient; (2) observation; (3) emergency department (ED); and (4) outpatient settings with 30-day mortality, hospitalizations and cost. METHODS: Using 100% Medicare inpatient, outpatient and Part B files from 2011-2018, 1,534,708 unique patient encounters in which intravenous (IV) diuretics were received for a primary diagnosis of HF were identified. Encounters were sorted into mutually exclusive settings: (1) inpatient; (2) observation; (3) ED; or (4) outpatient IV diuretic clinic. The primary outcome was 30-day all-cause mortality. Secondary outcomes included 30-day hospitalization and total 30-day costs. Multivariable logistic and linear regression were used to examine the association between treatment location and the primary and secondary outcomes. RESULTS: Patients treated in observation and outpatient settings had lower 30-day mortality rates (observation OR 0.67, 95% CI 0.66-0.69; P < 0.001; outpatient OR 0.53, 95% CI 0.51-0.55; P < 0.001) compared to those treated in inpatient settings. Observation and outpatient treatment were also associated with decreased 30-day total cost compared to inpatient treatment. Observation relative cost -$5528.77, 95% CI -$5613.63 to -$5443.92; outpatient relative cost -$7005.95; 95% CI -$7103.94 to -$6907.96). Patients treated in the emergency department and discharged had increased mortality rates (OR 1.15, 95% CI 1.13-1.17; P < 0.001) and increased rates of hospitalization (OR 1.72, 95% CI 1.70-1.73; P < 0.001) compared to patients treated as inpatients. CONCLUSIONS: Medicare beneficiaries who received IV diuresis for acute HF in the outpatient and observation settings had lower mortality rates and decreased costs of care compared to patients treated as inpatients. Outpatient and observation management of acute decompensated HF, when available, is a safe and cost-effective strategy in certain populations of patients with HF.

Community Benefit and Tax-Exemption Levels at Non-Profit Hospitals Across U.S. States.

OBJECTIVE: To assess the association between state policies and sociodemographic characteristics and state mean fair share spending at non-profit hospitals. Fair share spending is a hospital's charity care and community investment less the estimated value of their tax-exempt status. BACKGROUND: Hospitals with non-profit status in the United States are exempt from paying taxes. In return, they are expected to provide community benefits by subsidizing medical care for those who cannot pay and investing in the health and social needs of their community. METHODS: We used a multivariable linear regression model to determine the association of state-level sociodemographics and policies with state-level mean fair share spending in 2019. Fair share spending data was obtained from the Lown Institute. RESULTS: We found no association between the percentage of people living in poverty, in rural areas, or U.S. region and fair share spending. Similarly, there was no association found for state minimum community benefit and reporting requirements. The state percentage of racial/ethnic minorities was associated with higher mean fair share spending [+$1.48 million for every 10% increase (95% CI: 0.01 to 2.96 million)]. Medicaid expansion status was associated with a 6.9-million-dollar decrease (95% CI: -10.4 to -3.3 million). CONCLUSIONS: State-level community benefit policies have been ineffective at raising community benefit spending to levels comparable to the value of non-profit hospital tax-exempt status.

Out-of-Pocket Prescription Drug Savings for Medicare Beneficiaries with Asthma and COPD Under the Inflation Reduction Act.

BACKGROUND: High and rising prescription drug costs for asthma and chronic obstructive pulmonary disease (COPD) contribute to medication nonadherence and poor clinical outcomes. The recently enacted Inflation Reduction Act includes provisions that will cap out-of-pocket prescription drug spending at $2,000 per year and expand low-income subsidies. However, little is known about how these provisions will impact out-of-pocket drug spending for Medicare beneficiaries with asthma and COPD. OBJECTIVE: To estimate the impact of the Inflation Reduction Act's out-of-pocket spending cap and expansion of low-income subsidies on Medicare beneficiaries with obstructive lung disease. DESIGN: We calculated the number of Medicare beneficiaries ≥ 65 years with asthma and/or COPD and out-of-pocket prescription drug spending > $2,000/year, and then estimated their median annual out-of-pocket savings under the Inflation Reduction Act's spending cap. We then estimated the number of beneficiaries with incomes > 135% and ≤ 150% of the federal poverty level who would become newly eligible for low-income subsidies under this policy. PARTICIPANTS: Respondents to the 2016-2019 Medical Expenditure Panel Survey (MEPS). MAIN MEASURES: Annual out-of-pocket prescription drug spending. KEY RESULTS: An annual estimated 5.2 million Medicare beneficiaries had asthma and/or COPD. Among them, 360,160 (SE ± 38,021) experienced out-of-pocket drug spending > $2,000/year, with median out-of-pocket costs of $3,003/year (IQR $2,360-$3,941). Therefore, median savings under the Inflation Reduction Act's spending cap would be $1,003/year (IQR $360-$1,941), including $738/year and $1,137/year for beneficiaries with asthma and COPD, respectively. Total annual estimated savings would be $504 million (SE ± $42 M). In addition, 232,155 (SE ± 4,624) beneficiaries would newly qualify for low-income subsidies, which will further reduce prescription drug costs. CONCLUSIONS: The Inflation Reduction Act will have major implications on out-of-pocket prescription drug spending for Medicare beneficiaries with obstructive lung disease resulting in half-a-billion dollars in total out-of-pocket savings per year, which could ultimately have implications on medication adherence and clinical outcomes.

Effect of Medicare Advantage on Hospital Readmission and Mortality Rankings.

BACKGROUND: Medicare links hospital performance on readmissions and mortality to payment solely on the basis of outcomes among fee-for-service (FFS) beneficiaries. Whether including Medicare Advantage (MA) beneficiaries, who account for nearly half of all Medicare beneficiaries, in the evaluation of hospital performance affects rankings is unknown. OBJECTIVE: To determine if the inclusion of MA beneficiaries in readmission and mortality measures reclassifies hospital performance rankings compared with current measures. DESIGN: Cross-sectional. SETTING: Population-based. PARTICIPANTS: Hospitals participating in the Hospital Readmissions Reduction Program or Hospital Value-Based Purchasing Program. MEASUREMENTS: Using the 100% Medicare files for FFS and MA claims, the authors calculated 30-day risk-adjusted readmissions and mortality for acute myocardial infarction, heart failure, chronic obstructive pulmonary disease, and pneumonia on the basis of only FFS beneficiaries and then both FFS and MA beneficiaries. Hospitals were divided into quintiles of performance based on FFS beneficiaries only, and the proportion of hospitals that were reclassified to a different performance group with the inclusion of MA beneficiaries was calculated. RESULTS: Of the hospitals in the top-performing quintile for readmissions and mortality based on FFS beneficiaries, between 21.6% and 30.2% were reclassified to a lower-performing quintile with the inclusion of MA beneficiaries. Similar proportions of hospitals were reclassified from the bottom performance quintile to a higher one across all measures and conditions. Hospitals with a higher proportion of MA beneficiaries were more likely to improve in performance rankings. LIMITATION: Hospital performance measurement and risk adjustment differed slightly from those used by Medicare. CONCLUSION: Approximately 1 in 4 top-performing hospitals is reclassified to a lower performance group when MA beneficiaries are included in the evaluation of hospital readmissions and mortality. These findings suggest that Medicare's current value-based programs provide an incomplete picture of hospital performance. PRIMARY FUNDING SOURCE: Laura and John Arnold Foundation.

Cardiovascular Health of Middle-Aged U.S. Adults by Income Level, 1999 to March 2020 : A Serial Cross-Sectional Study.

BACKGROUND: Although cardiovascular mortality has increased among middle-aged U.S. adults since 2011, how the burden of cardiovascular risk factors has changed for this population by income level over the past 2 decades is unknown. OBJECTIVE: To evaluate trends in the prevalence, treatment, and control of cardiovascular risk factors among low-income and higher-income middle-aged adults and how social determinants contribute to recent associations between income and cardiovascular health. DESIGN: Serial cross-sectional study. SETTING: NHANES (National Health and Nutrition Examination Survey), 1999 to March 2020. PARTICIPANTS: Middle-aged adults (aged 40 to 64 years). MEASUREMENTS: Age-standardized prevalence of hypertension, diabetes, hyperlipidemia, obesity, and cigarette use; treatment rates for hypertension, diabetes, and hyperlipidemia; and rates of blood pressure, glycemic, and cholesterol control. RESULTS: The study population included 20 761 middle-aged adults. The prevalence of hypertension, diabetes, and cigarette use was consistently higher among low-income adults between 1999 and March 2020. Low-income adults had an increase in hypertension over the study period (37.2% [95% CI, 33.5% to 40.9%] to 44.7% [CI, 39.8% to 49.5%]) but no changes in diabetes or obesity. In contrast, higher-income adults did not have a change in hypertension but had increases in diabetes (7.8% [CI, 5.0% to 10.6%] to 14.9% [CI, 12.4% to 17.3%]) and obesity (33.0% [CI, 26.7% to 39.4%] to 44.0% [CI, 40.2% to 47.7%]). Cigarette use was high and stagnant among low-income adults (33.2% [CI, 28.4% to 38.0%] to 33.9% [CI, 29.6% to 38.3%]) but decreased among their higher-income counterparts (18.6% [CI, 13.5% to 23.7%] to 11.5% [CI, 8.7% to 14.3%]). Treatment and control rates for hypertension were unchanged in both groups (>80%), whereas diabetes treatment rates improved only among the higher-income group (58.4% [CI, 44.4% to 72.5%] to 77.4% [CI, 67.6% to 87.1%]). Income-based disparities in hypertension, diabetes, and cigarette use persisted in more recent years even after adjustment for insurance coverage, health care access, and food insecurity. LIMITATION: Sample size limitations could preclude detection of small changes in treatment and control rates. CONCLUSION: Over 2 decades in the United States, hypertension increased in low-income middle-aged adults, whereas diabetes and obesity increased in their higher-income counterparts. Income-based disparities in hypertension, diabetes, and smoking persisted even after adjustment for other social determinants of health. PRIMARY FUNDING SOURCE: National Institutes of Health.

Health Equity Adjustment and Hospital Performance in the Medicare Value-Based Purchasing Program.

Importance: Medicare's Hospital Value-Based Purchasing (HVBP) program will provide a health equity adjustment (HEA) to hospitals that have greater proportions of patients dually eligible for Medicare and Medicaid and that offer high-quality care beginning in fiscal year 2026. However, which hospitals will benefit most from this policy change and to what extent are unknown. Objective: To estimate potential changes in hospital performance after HEA and examine hospital patient mix, structural, and geographic characteristics associated with receipt of increased payments. Design, Setting, and Participants: This cross-sectional study analyzed all 2676 hospitals participating in the HVBP program in fiscal year 2021. Publicly available data on program performance and hospital characteristics were linked to Medicare claims data on all inpatient stays for dual-eligible beneficiaries at each hospital to calculate HEA points and HVBP payment adjustments. Exposures: Hospital Value-Based Purchasing program HEA. Main Outcomes and Measures: Reclassification of HVBP bonus or penalty status and changes in payment adjustments across hospital characteristics. Results: Of 2676 hospitals participating in the HVBP program in fiscal year 2021, 1470 (54.9%) received bonuses and 1206 (45.1%) received penalties. After HEA, 102 hospitals (6.9%) were reclassified from bonus to penalty status, whereas 119 (9.9%) were reclassified from penalty to bonus status. At the hospital level, mean (SD) HVBP payment adjustments decreased by $4534 ($90 033) after HEA, ranging from a maximum reduction of $1 014 276 to a maximum increase of $1 523 765. At the aggregate level, net-positive changes in payment adjustments were largest among safety net hospitals ($28 971 708) and those caring for a higher proportion of Black patients ($15 468 445). The likelihood of experiencing increases in payment adjustments was significantly higher among safety net compared with non-safety net hospitals (574 of 683 [84.0%] vs 709 of 1993 [35.6%]; adjusted rate ratio [ARR], 2.04 [95% CI, 1.89-2.20]) and high-proportion Black hospitals compared with non-high-proportion Black hospitals (396 of 523 [75.7%] vs 887 of 2153 [41.2%]; ARR, 1.40 [95% CI, 1.29-1.51]). Rural hospitals (374 of 612 [61.1%] vs 909 of 2064 [44.0%]; ARR, 1.44 [95% CI, 1.30-1.58]), as well as those located in the South (598 of 1040 [57.5%] vs 192 of 439 [43.7%]; ARR, 1.25 [95% CI, 1.10-1.42]) and in Medicaid expansion states (801 of 1651 [48.5%] vs 482 of 1025 [47.0%]; ARR, 1.16 [95% CI, 1.06-1.28]), were also more likely to experience increased payment adjustments after HEA compared with their urban, Northeastern, and Medicaid nonexpansion state counterparts, respectively. Conclusions and Relevance: Medicare's implementation of HEA in the HVBP program will significantly reclassify hospital performance and redistribute program payments, with safety net and high-proportion Black hospitals benefiting most from this policy change. These findings suggest that HEA is an important strategy to ensure that value-based payment programs are more equitable.

Projected Changes in Statin and Antihypertensive Therapy Eligibility With the AHA PREVENT Cardiovascular Risk Equations.

Importance: Since 2013, the American College of Cardiology (ACC) and American Heart Association (AHA) have recommended the pooled cohort equations (PCEs) for estimating the 10-year risk of atherosclerotic cardiovascular disease (ASCVD). An AHA scientific advisory group recently developed the Predicting Risk of cardiovascular disease EVENTs (PREVENT) equations, which incorporated kidney measures, removed race as an input, and improved calibration in contemporary populations. PREVENT is known to produce ASCVD risk predictions that are lower than those produced by the PCEs, but the potential clinical implications have not been quantified. Objective: To estimate the number of US adults who would experience changes in risk categorization, treatment eligibility, or clinical outcomes when applying PREVENT equations to existing ACC and AHA guidelines. Design, Setting, and Participants: Nationally representative cross-sectional sample of 7765 US adults aged 30 to 79 years who participated in the National Health and Nutrition Examination Surveys of 2011 to March 2020, which had response rates ranging from 47% to 70%. Main Outcomes and Measures: Differences in predicted 10-year ASCVD risk, ACC and AHA risk categorization, eligibility for statin or antihypertensive therapy, and projected occurrences of myocardial infarction or stroke. Results: In a nationally representative sample of 7765 US adults aged 30 to 79 years (median age, 53 years; 51.3% women), it was estimated that using PREVENT equations would reclassify approximately half of US adults to lower ACC and AHA risk categories (53.0% [95% CI, 51.2%-54.8%]) and very few US adults to higher risk categories (0.41% [95% CI, 0.25%-0.62%]). The number of US adults receiving or recommended for preventive treatment would decrease by an estimated 14.3 million (95% CI, 12.6 million-15.9 million) for statin therapy and 2.62 million (95% CI, 2.02 million-3.21 million) for antihypertensive therapy. The study estimated that, over 10 years, these decreases in treatment eligibility could result in 107 000 additional occurrences of myocardial infarction or stroke. Eligibility changes would affect twice as many men as women and a greater proportion of Black adults than White adults. Conclusion and Relevance: By assigning lower ASCVD risk predictions, application of the PREVENT equations to existing treatment thresholds could reduce eligibility for statin and antihypertensive therapy among 15.8 million US adults.

Differences in Comorbidities Explain Black-White Disparities in Outcomes After Femoropopliteal Endovascular Intervention.

BACKGROUND: Black adults have a higher incidence of peripheral artery disease and limb amputations than White adults in the United States. Given that peripheral endovascular intervention (PVI) is now the primary revascularization strategy for peripheral artery disease, it is important to understand whether racial differences exist in PVI incidence and outcomes. METHODS: Data from fee-for-service Medicare beneficiaries ≥66 years of age from 2016 to 2018 were evaluated to determine age- and sex-standardized population-level incidences of femoropopliteal PVI among Black and White adults over the 3-year study period. Patients' first inpatient or outpatient PVIs were identified through claims codes. Age- and sex-standardized risks of the composite outcome of death and major amputation within 1 year of PVI were examined by race. RESULTS: Black adults underwent 928 PVIs per 100 000 Black beneficiaries compared with 530 PVIs per 100 000 White beneficiaries (risk ratio, 1.75 [95% CI, 1.73-1.77]; P<0.01). Black adults who underwent PVI were younger (mean age, 74.5 years versus 76.4 years; P<0.01), were more likely to be female (52.8% versus 42.7%; P<0.01), and had a higher burden of diabetes (70.6% versus 56.0%; P<0.01), chronic kidney disease (67.5% versus 56.6%; P<0.01), and heart failure (47.4% versus 41.7%; P<0.01) than White adults. When analyzed by indication for revascularization, Black adults were more likely to undergo PVI for chronic limb-threatening ischemia than White adults (13 023 per 21 352 [61.0%] versus 59 956 per 120 049 [49.9%]; P<0.01). There was a strong association between Black race and the composite outcome at 1 year (odds ratio, 1.21 [95% CI, 1.16-1.25]). This association persisted after adjustment for socioeconomic status (odds ratio, 1.08 [95% CI, 1.03-1.13]) but was eliminated after adjustment for comorbidities (odds ratio, 0.96 [95% CI, 0.92-1.01]). CONCLUSIONS: Among fee-for-service Medicare beneficiaries, Black adults had substantially higher population-level PVI incidence and were significantly more likely to experience adverse events after PVI than White adults. The association between Black race and adverse outcomes appears to be driven by a higher burden of comorbidities. This analysis emphasizes the critical need for early identification and aggressive management of peripheral artery disease risk factors and comorbidities to reduce Black-White disparities in the development and progression of peripheral artery disease and the risk of adverse events after PVI.

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.

Cardiovascular hospitalizations for Medicare advantage beneficiaries in the United States, 2009 to 2019.

BACKGROUND: Federal programs measuring hospital quality of care for acute cardiovascular conditions are based solely on Medicare fee-for-service (FFS) beneficiaries, and exclude Medicare Advantage (MA) beneficiaries. In this study we characterize the proportion of Medicare beneficiaries enrolled in MA at the time of acute myocardial infarction (AMI), heart failure (HF), and ischemic stroke hospitalization. METHODS: Retrospective cross-sectional study of short-term acute care hospitals using Medicare claims in 2009 and 2019. RESULTS: There were 2,653 hospitals in 2009 and 2,732 hospitals in 2019. Across hospitals, the proportion of Medicare beneficiaries hospitalized for AMI who were enrolled in MA increased between 2009 (hospital-level median 14.4% [IQR 5.1%-26.0%]) and 2019 (33.3% [IQR 20.6%-45.2%]), with substantial variation across hospitals. Similar patterns were observed for HF (13.0% [IQR 5.3%-24.3%] to 31.0% [IQR 20.2%-42.3%]) and ischemic stroke (14.6% [IQR 5.3%-26.7%] to 33.3% [IQR 20.9%-46.0%]). Within each hospital referral region, hospital size (large 36.3% vs small 24.5%; adjusted difference 6.7%, 95% CI, 4.5%-8.8%), teaching status (teaching 34.5% vs nonteaching 28.2%; 2.8%, 1.4%-4.1%), and ownership status (private nonprofit 32.3% vs public 24.5%; 5.2%, 3.5%-6.9%) were each associated with a higher hospital MA proportion. CONCLUSIONS: The proportion of Medicare beneficiaries hospitalized for AMI, HF, and ischemic stroke enrolled in MA doubled between 2009 and 2019, with substantial variation across hospitals. These findings have implications for federal efforts to measure and improve quality, which currently focus only on FFS beneficiaries.

Diabetes Screening by Race and Ethnicity in the United States: Equivalent Body Mass Index and Age Thresholds.

BACKGROUND: Racial/ethnic minority populations in the United States have increased rates of diabetes compared with White populations. The 2021 guidelines from the U.S. Preventive Services Task Force recommend diabetes screening for adults aged 35 to 70 years with a body mass index (BMI) of 25 kg/m2 or greater. OBJECTIVE: To determine the BMI threshold for diabetes screening in major racial/ethnic minority populations with benefits and harms equivalent to those of the current diabetes screening threshold in White adults. DESIGN: Cross-sectional study. SETTING: NHANES (National Health and Nutrition Examination Survey), 2011 to 2018. PARTICIPANTS: Nonpregnant U.S. adults aged 18 to 70 years (n = 19 335). MEASUREMENTS: A logistic regression model was used to estimate diabetes prevalence at various BMIs for White, Asian, Black, and Hispanic Americans. For each racial/ethnic minority group, the equivalent BMI threshold was defined as the BMI at which the prevalence of diabetes in 35-year-old persons in that group is equal to that in 35-year-old White adults at a BMI of 25 kg/m2. Ranges were estimated to account for the uncertainty in prevalence estimates for White and racial/ethnic minority populations. RESULTS: Among adults aged 35 years with a BMI of 25 kg/m2, the prevalence of diabetes in Asian Americans (3.8% [95% CI, 2.8% to 5.1%]), Black Americans (3.5% [CI, 2.7% to 4.7%]), and Hispanic Americans (3.0% [CI, 2.1% to 4.2%]) was significantly higher than that in White Americans (1.4% [CI, 1.0% to 2.0%]). Compared with a BMI threshold of 25 kg/m2 in White Americans, the equivalent BMI thresholds for diabetes prevalence were 20 kg/m2 (range, <18.5 to 23 kg/m2) for Asian Americans, less than 18.5 kg/m2 (range, <18.5 to 23 kg/m2) for Black Americans, and 18.5 kg/m2 (range, <18.5 to 24 kg/m2) for Hispanic Americans. LIMITATION: Sample size limitations precluded assessment of heterogeneity within racial/ethnic groups. CONCLUSION: Among U.S. adults aged 35 years or older, offering diabetes screening to Black Americans and Hispanic Americans with a BMI of 18.5 kg/m2 or greater and Asian Americans with a BMI of 20 kg/m2 or greater would be equivalent to screening White adults with a BMI of 25 kg/m2 or greater. Using screening thresholds specific to race/ethnicity has the potential to reduce disparities in diabetes diagnosis. PRIMARY FUNDING SOURCE: Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology.

Cardiovascular Risk Factor Prevalence, Treatment, and Control in US Adults Aged 20 to 44 Years, 2009 to March 2020.

Importance: Declines in cardiovascular mortality have stagnated in the US over the past decade, in part related to worsening risk factor control in older adults. Little is known about how the prevalence, treatment, and control of cardiovascular risk factors have changed among young adults aged 20 to 44 years. Objective: To determine if the prevalence of cardiovascular risk factors (hypertension, diabetes, hyperlipidemia, obesity, and tobacco use), treatment rates, and control changed among adults aged 20 to 44 years from 2009 through March 2020, overall and by sex and race and ethnicity. Design, Setting, and Participants: Serial cross-sectional analysis of adults aged 20 to 44 years in the US participating in the National Health and Nutrition Examination Survey (2009-2010 to 2017-March 2020). Main Outcomes and Measures: National trends in the prevalence of hypertension, diabetes, hyperlipidemia, obesity, and smoking history; treatment rates for hypertension and diabetes; and blood pressure and glycemic control in those receiving treatment. Results: Among 12 924 US adults aged 20 to 44 years (mean age, 31.8 years; 50.6% women), the prevalence of hypertension was 9.3% (95% CI, 8.1%-10.5%) in 2009-2010 and 11.5% (95% CI, 9.6%-13.4%) in 2017-2020. The prevalence of diabetes (from 3.0% [95% CI, 2.2%-3.7%] to 4.1% [95% CI, 3.5%-4.7%]) and obesity (from 32.7% [95% CI, 30.1%-35.3%] to 40.9% [95% CI, 37.5%-44.3%]) increased from 2009-2010 to 2017-2020, while the prevalence of hyperlipidemia decreased (from 40.5% [95% CI, 38.6%-42.3%] to 36.1% [95% CI, 33.5%-38.7%]). Black adults had high rates of hypertension across the study period (2009-2010: 16.2% [95% CI, 14.0%-18.4%]; 2017-2020: 20.1% [95% CI, 16.8%-23.3%]), and significant increases in hypertension were observed among Mexican American adults (from 6.5% [95% CI, 5.0%-8.0%] to 9.5% [95% CI, 7.3%-11.7%]) and other Hispanic adults (from 4.4% [95% CI, 2.1%-6.8%] to 10.5% [95% CI, 6.8%-14.3%]), while Mexican American adults had a significant rise in diabetes (from 4.3% [95% CI, 2.3%-6.2%] to 7.5% [95% CI, 5.4%-9.6%]). The percentage of young adults treated for hypertension who achieved blood pressure control did not significantly change (from 65.0% [95% CI, 55.8%-74.2%] in 2009-2010 to 74.8% [95% CI, 67.5%-82.1%] in 2017-2020], while glycemic control among young adults receiving treatment for diabetes remained suboptimal throughout the study period (2009-2010: 45.5% [95% CI, 27.7%-63.3%]) to 2017-2020: 56.6% [95% CI, 39.2%-73.9%]). Conclusions and Relevance: In the US, diabetes and obesity increased among young adults from 2009 to March 2020, while hypertension did not change and hyperlipidemia declined. There was variation in trends by race and ethnicity.

Racial and Ethnic Disparities in Heart and Cerebrovascular Disease Deaths During the COVID-19 Pandemic in the United States.

BACKGROUND: Cardiovascular deaths increased during the early phase of the COVID-19 pandemic in the United States. However, it is unclear whether diverse racial/ethnic populations have experienced a disproportionate rise in heart disease and cerebrovascular disease deaths. METHODS: We used the National Center for Health Statistics to identify heart disease and cerebrovascular disease deaths for non-Hispanic White, non-Hispanic Black, non-Hispanic Asian, and Hispanic individuals from March to August 2020 (pandemic period), as well as for the corresponding months in 2019 (historical control). We determined the age- and sex-standardized deaths per million by race/ethnicity for each year. We then fit a modified Poisson model with robust SEs to compare change in deaths by race/ethnicity for each condition in 2020 versus 2019. RESULTS: There were a total of 339 076 heart disease and 76 767 cerebrovascular disease deaths from March through August 2020, compared with 321 218 and 72 190 deaths during the same months in 2019. Heart disease deaths increased during the pandemic in 2020, compared with the corresponding period in 2019, for non-Hispanic White (age-sex standardized deaths per million, 1234.2 versus 1208.7; risk ratio for death [RR], 1.02 [95% CI, 1.02-1.03]), non-Hispanic Black (1783.7 versus 1503.8; RR, 1.19 [95% CI, 1.17-1.20]), non-Hispanic Asian (685.7 versus 577.4; RR, 1.19 [95% CI, 1.15-1.22]), and Hispanic (968.5 versus 820.4; RR, 1.18 [95% CI, 1.16-1.20]) populations. Cerebrovascular disease deaths also increased for non-Hispanic White (268.7 versus 258.2; RR, 1.04 [95% CI, 1.03-1.05]), non-Hispanic Black (430.7 versus 379.7; RR, 1.13 [95% CI, 1.10-1.17]), non-Hispanic Asian (236.5 versus 207.4; RR, 1.15 [95% CI, 1.09-1.21]), and Hispanic (264.4 versus 235.9; RR, 1.12 [95% CI, 1.08-1.16]) populations. For both heart disease and cerebrovascular disease deaths, Black, Asian, and Hispanic populations experienced a larger relative increase in deaths than the non-Hispanic White population (interaction term, P<0.001). CONCLUSIONS: During the COVID-19 pandemic in the United States, Black, Hispanic, and Asian populations experienced a disproportionate rise in deaths caused by heart disease and cerebrovascular disease, suggesting that these groups have been most impacted by the indirect effects of the pandemic. Public health and policy strategies are needed to mitigate the short- and long-term adverse effects of the pandemic on the cardiovascular health of diverse populations.

Medicare eligibility and healthcare access, affordability, and financial strain for low- and higher-income adults in the United States: A regression discontinuity analysis.

BACKGROUND: US policymakers are debating whether to expand the Medicare program by lowering the age of eligibility. The goal of this study was to determine the association of Medicare eligibility and enrollment with healthcare access, affordability, and financial strain from medical bills in a contemporary population of low- and higher-income adults in the US. METHODS AND FINDINGS: We used cross-sectional data from the National Health Interview Survey (2019) to examine the association of Medicare eligibility and enrollment with outcomes by income status using a local randomization-based regression discontinuity approach. After weighting to account for survey sampling, the low-income group consisted of 1,660,188 adults age 64 years and 1,488,875 adults age 66 years, with similar baseline characteristics, including distribution of sex (59.2% versus 59.7% female) and education (10.8% versus 12.5% with bachelor's degree or higher). The higher-income group consisted of 2,110,995 adults age 64 years and 2,167,676 adults age 66 years, with similar distribution of baseline characteristics, including sex (40.0% versus 49.4% female) and education (41.0% versus 41.6%). The share of adults age 64 versus 66 years enrolled in Medicare differed within low-income (27.6% versus 87.8%, p < 0.001) and higher-income groups (8.0% versus 85.9%, p < 0.001). Medicare eligibility at 65 years was associated with a decreases in the percentage of low-income adults who delayed (14.7% to 6.2%; -8.5% [95% CI, -14.7%, -2.4%], P = 0.007) or avoided medical care (15.5% to 5.9%; -9.6% [-15.9%, -3.2%], P = 0.003) due to costs, and a larger decrease in the percentage who were worried about (66.5% to 51.1%; -15.4% [-25.4%, -5.4%], P = 0.003) or had problems (33.9% to 20.6%; -13.3% [-23.0%, -3.6%], P = 0.007) paying medical bills. In contrast, there were no significant associations between Medicare eligibility and measures of cost-related barriers to medication use. For higher-income adults, there was a large decrease in worrying about paying medical bills (40.5% to 27.5%; -13.0% [-21.4%, -4.5%], P = 0.003), a more modest decrease in avoiding medical care due to cost (3.5% to 0.6%; -2.9% [-5.3%, -0.5%], P = 0.02), and no significant association between eligibility and other measures of healthcare access and affordability. All estimates were stronger when examining the association of Medicare enrollment with outcomes for low and higher-income adults. Additional analyses that adjusted for clinical comorbidities and employment status were largely consistent with the main findings, as were analyses stratified by levels of educational attainment. Study limitations include the assumption adults age 64 and 66 would have similar outcomes if both groups were eligible for Medicare or if eligibility were withheld from both. CONCLUSIONS: Medicare eligibility and enrollment at age 65 years were associated with improvements in healthcare access, affordability, and financial strain in low-income adults and, to a lesser extent, in higher-income adults. Our findings provide evidence that lowering the age of eligibility for Medicare may improve health inequities in the US.

Neighborhood Socioeconomic Disadvantage and Mortality Among Medicare Beneficiaries Hospitalized for Acute Myocardial Infarction, Heart Failure, and Pneumonia.

BACKGROUND: The Centers for Medicare and Medicaid Services' Hospital Value-Based Purchasing program uses 30-day mortality rates for acute myocardial infarction, heart failure, and pneumonia to evaluate US hospitals, but does not account for neighborhood socioeconomic disadvantage when comparing their performance. OBJECTIVE: To determine if neighborhood socioeconomic disadvantage is associated with worse 30-day mortality rates after a hospitalization for acute myocardial infarction (AMI), heart failure (HF), or pneumonia in the USA, as well as within the subset of counties with a high proportion of Black individuals. DESIGN AND PARTICIPANTS: This retrospective, population-based study included all Medicare fee-for-service beneficiaries aged 65 years or older hospitalized for acute myocardial infarction, heart failure, or pneumonia between 2012 and 2015. EXPOSURE: Residence in most socioeconomically disadvantaged vs. less socioeconomically disadvantaged neighborhoods as measured by the area deprivation index (ADI). MAIN MEASURE(S): All-cause mortality within 30 days of admission. KEY RESULTS: The study included 3,471,592 Medicare patients. Of these patients, 333,472 resided in most disadvantaged neighborhoods and 3,138,120 in less disadvantaged neighborhoods. Patients living in the most disadvantaged neighborhoods were younger (78.4 vs. 80.0 years) and more likely to be Black adults (24.6% vs. 7.5%) and dually enrolled in Medicaid (39.4% vs. 21.8%). After adjustment for demographics (age, sex, race/ethnicity), poverty, and clinical comorbidities, 30-day mortality was higher among beneficiaries residing in most disadvantaged neighborhoods for AMI (adjusted odds ratio 1.08, 95% CI 1.06-1.11) and pneumonia (aOR 1.05, 1.03-1.07), but not for HF (aOR 1.02, 1.00-1.04). These patterns were similar within the subset of US counties with a high proportion of Black adults (AMI, aOR 1.07, 1.03-1.11; HF 1.02, 0.99-1.05; pneumonia 1.03, 1.00-1.07). CONCLUSIONS: Neighborhood socioeconomic disadvantage is associated with higher 30-day mortality for some conditions targeted by value-based programs, even after accounting for individual-level demographics, clinical comorbidities, and poverty. These findings may have implications as policymakers weigh strategies to advance health equity under value-based programs.