Publications

Background In the United States, hospitalizations for pulmonary embolism (PE) are increasing among older adults insured by Medicare. Although efforts to reduce health disparities have intensified, it remains unclear whether clinical outcomes differ between socioeconomically disadvantaged and nondisadvantaged Medicare beneficiaries hospitalized with PE. Methods and Results In this study, there were 53 386 Medicare fee-for-service beneficiaries age ≥65 years hospitalized for PE between October 2015 and January 2017. Of these, 5494 (10.3%) were socioeconomically disadvantaged and 47 892 (89.7%) were nondisadvantaged. Socioeconomically disadvantaged adults were of similar age as nondisadvantaged adults (77.1 versus 77.0), more likely to be female (68.5% versus 54.2%), and less likely to receive advanced therapies (11.0% versus 12.1%). After adjustment for demographics, 90-day all-cause mortality rates were similar between disadvantaged and nondisadvantaged adults. In contrast, 1-year mortality rates were higher among socioeconomically disadvantaged adults (hazard ratio [HR], 1.16; 95% CI, 1.10-1.22), although these differences were partially attenuated after additional adjustments for comorbidities and PE severity (HR, 1.09; 95% CI, 1.02-1.16). Risk-adjusted 30-day and 90-day all-cause readmission rates were substantially higher among socioeconomically disadvantaged patients (30-day HR, 1.14 [95% CI, 1.06-1.22]; 90-day HR, 1.18 [95% CI, 1.12-1.25]). In addition, 90-day readmissions attributed to PE, deep vein thrombosis, and/or bleeding were higher among socioeconomically disadvantaged patients (HR, 1.16; 95% CI, 1.02-1.32). Conclusions Socioeconomically disadvantaged older adults hospitalized with PE have higher 1-year mortality rates compared with their nondisadvantaged counterparts. Nearly 1 in 3 socioeconomically disadvantaged older adults was readmitted within 90 days of a hospitalization for PE. Targeted strategies are needed to improve transitional and ambulatory care for this vulnerable population.

IMPORTANCE: Socioeconomic disadvantage is associated with poor health outcomes. However, whether socioeconomic factors are associated with post-myocardial infarction (MI) outcomes in younger patient populations is unknown.

OBJECTIVE: To evaluate the association of neighborhood-level socioeconomic disadvantage with long-term outcomes among patients who experienced an MI at a young age.

DESIGN, SETTING, AND PARTICIPANTS: This cohort study analyzed patients in the Mass General Brigham YOUNG-MI Registry (at Brigham and Women's Hospital and Massachusetts General Hospital in Boston, Massachusetts) who experienced an MI at or before 50 years of age between January 1, 2000, and April 30, 2016. Each patient's home address was mapped to the Area Deprivation Index (ADI) to capture higher rates of socioeconomic disadvantage. The median follow-up duration was 11.3 years. The dates of analysis were May 1, 2020, to June 30, 2020.

EXPOSURES: Patients were assigned an ADI ranking according to their home address and then stratified into 3 groups (least disadvantaged group, middle group, and most disadvantaged group).

MAIN OUTCOMES AND MEASURES: The outcomes of interest were all-cause and cardiovascular mortality. Cause of death was adjudicated from national registries and electronic medical records. Cox proportional hazards regression modeling was used to evaluate the association of ADI with all-cause and cardiovascular mortality.

RESULTS: The cohort consisted of 2097 patients, of whom 2002 (95.5%) with an ADI ranking were included (median [interquartile range] age, 45 [42-48] years; 1607 male individuals [80.3%]). Patients in the most disadvantaged neighborhoods were more likely to be Black or Hispanic, have public insurance or no insurance, and have higher rates of traditional cardiovascular risk factors such as hypertension and diabetes. Among the 1964 patients who survived to hospital discharge, 74 (13.6%) in the most disadvantaged group compared with 88 (12.6%) in the middle group and 41 (5.7%) in the least disadvantaged group died. Even after adjusting for a comprehensive set of clinical covariates, higher neighborhood disadvantage was associated with a 32% higher all-cause mortality (hazard ratio, 1.32; 95% CI, 1.10-1.60; P = .004) and a 57% higher cardiovascular mortality (hazard ratio, 1.57; 95% CI, 1.17-2.10; P = .003).

CONCLUSIONS AND RELEVANCE: This study found that, among patients who experienced an MI at or before age 50 years, socioeconomic disadvantage was associated with higher all-cause and cardiovascular mortality even after adjusting for clinical comorbidities. These findings suggest that neighborhood and socioeconomic factors have an important role in long-term post-MI survival.

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.

Diabetes, Hypertension, Heart Disease, and Stroke Mortality Among Black and White Adults, 1999–2018

This study evaluates whether US hospitals with mostly Black patients are more likely than other hospitals to have penalties associated with Centers for Medicare & Medicaid Services (CMS) value-based payment programs.

BACKGROUND: In 2009, the American College of Cardiology and American Heart Association published Appropriate Use Criteria for Coronary Revascularization (AUC) to aid patient selection for percutaneous coronary intervention (PCI). The subsequent decline in inappropriate PCIs was interpreted as a success of AUC. However, there are concerns clinicians reclassify nonacute PCIs to acute indications to fulfill AUC.

METHODS: A longitudinal, observational difference-in-differences analysis was performed using administrative claims from US Department of Veterans Affairs (VA) beneficiaries coenrolled in Medicare and from a national random sample of Medicare beneficiaries, undergoing PCI from September 30, 2009, to December 31, 2013. Non-VA hospitals participating in the American College of Cardiology CathPCI registry began receiving AUC reports in 2011, while VA hospitals did not receive reports, serving as quasiexperimental and control cohorts, respectively. We measured the proportion of PCIs coded for acute myocardial infarction, unstable angina, and nonacute coronary syndrome indications by quarter.

RESULTS: There were 87 464 and 30 251 PCIs performed in the Medicare and VA cohorts, respectively. In Medicare, proportion of PCIs coded for acute myocardial infarction and unstable angina changed from 31.9% and 12.6% in quarter 4 2009 to 41.0% and 10.5% in quarter 4 2013, an associated 2.00% (95% CI, 1.56%-2.44%; P<0.001) increase per year in PCIs coded for acute coronary syndrome indications. In the VA, proportion of PCIs coded for acute myocardial infarction and unstable angina changed from 26.5% and 15.7% in quarter 4 2009 to 34.3% and 12.3% in quarter 4 2013, an associated 1.20% (95% CI, 0.56%-1.88%; P=0.001) increase per year in PCIs coded for acute coronary syndrome indications. Difference-in-differences modeling found no statistically significant change in PCI coded for acute indications between Medicare and VA, pre- and post-AUC reporting.

CONCLUSIONS: After introduction of AUC assessments and reporting, we observed comparable increases in coding for acute myocardial infarction and corresponding decreases in coding for unstable angina and nonacute coronary syndrome indications among national cohorts of Medicare and VA enrollees. The provision of appropriate use reporting did not appear to have a substantial impact on the proportion of PCIs coded for acute indications during this study period.

The Fish. The Pond. The Groundwater. Imagine that you have a personal pond filled with fish. When viewing your pond, you notice that one fish has died, floating belly-up. You decide that the fish must have been ill and think nothing more of it. The next day, you notice that half of the fish in your pond are now dead. You are alarmed and decide to contact the neighborhood management services to investigate your pond. Something must be wrong with the local system. The following day, however, you discover that all of your neighbors with ponds have noticed the same thing. In fact, half of the fish are dead throughout all waterways in the entire state. At this point, it is clear something deeper must be wrong. This is when you need to analyze the groundwater feeding these ponds. The fish are not at fault, and not even the local systems. Rather the underlying structures through which the fish seek life has failed. Imagine that instead of fish, we are discussing patients. —Paraphrase of Groundwater Approach Metaphor by Love and Hayes-Greene of The Racial Equity Institute.