Magnani, Jared W

Background Studies have demonstrated neighborhood structural inequities are associated with cardiovascular outcomes among breast cancer survivors. We investigated the associations between bias in mortgage lending practices (contemporary redlining and racial lending bias) and cardiovascular outcomes in women with breast cancer. Methods Using the SEER (Surveillance, Epidemiology, and End Results)–Medicare database, we identified 51 007 Black and White women diagnosed with breast cancer between 2010 and 2014 with follow‐up through 2020. We used Home Mortgage Disclosure Act data to calculate census‐tract contemporary redlining index and racial lending bias index, and assessed indices continuously and categorically (low, moderate, or high). We used Cox proportional hazards regression to estimate multivariable‐adjusted, cause‐specific hazard ratios (HRs) for major adverse cardiovascular events, ischemic heart disease, heart failure, stroke, and cardiovascular death. Results In the overall population, a 10%‐unit increase in redlining was associated with increased risk of major adverse cardiovascular events (HR, 1.04 [95% CI, 1.02–1.06]). Among Black women, those in high redlining neighborhoods had an increased heart failure risk compared with those in low redlining neighborhoods (HR, 1.22 [95% CI, 1.05–1.41]). Similarly, White women in high redlining neighborhoods had an increased risk of ischemic heart disease (HR, 1.23 [95% CI, 1.15–1.30]) and stroke (HR, 1.09 [95% CI, 1.03–1.16]). Black women in high racial lending bias neighborhoods had reduced cardiovascular mortality risk compared with those in low racial lending bias neighborhoods (HR, 0.69 [95% CI, 0.54–0.90]). Conclusions We identified associations between contemporary redlining and cardiovascular outcomes among breast cancer survivors. High racial lending bias was associated with reduced cardiovascular mortality risk among Black women. Bias in mortgage lending practices may serve as a structural driver of cardiovascular disparities.

Background: Outcomes in heart failure with reduced ejection fraction (HFrEF) are influenced by access and adherence to guideline-directed medical therapy. Our objective was to study the association between annual household income and: (1) the odds of having a claim for sacubitril/valsartan among insured patients with HFrEF and (2) medication adherence (measured as the proportion of days covered). We hypothesized that lower annual household income is associated with decreased odds of having a claim for and adhering to sacubitril/valsartan. Methods: Using the Optum de-identified Clinformatics Data Mart, patients with HFrEF and ≥6 months of enrollment for follow-up (2016–2020) were included. Covariates included age, sex, race, ethnicity, educational attainment, US region, number of prescribed medications, and Elixhauser Comorbidity Index. Prescription for sacubitril/valsartan was defined by the presence of a claim within 6 months of HFrEF diagnosis. Adherence was defined as proportion of days covered ≥80%. We fit multivariable-adjusted logistic regression models and hierarchical logistic regression accounting for covariates. Results: Among 322 007 individuals with incident HFrEF, 135 282 had complete data for analysis. Of the patients eligible for sacubitril/valsartan, 4.7% (6372) had a claim within 6 months of HFrEF diagnosis. Following multivariable adjustment, individuals in the lowest annual income category (<$40 000) were significantly less likely (odds ratio, 0.83 [95% CI, 0.76–0.90]) to have a sacubitril/valsartan claim within 6 months of HFrEF diagnosis than those in the highest annual income category (≥$100 000). Annual income <$40 000 was associated with lower odds of proportion of days covered ≥80% compared with income ≥$100 000 (odds ratio, 0.70 [95% CI, 0.59–0.83]). Conclusions: Lower household income is associated with decreased likelihood of a sacubitril/valsartan claim and medication adherence within 6 months of HFrEF diagnosis, even after adjusting for sociodemographic and clinical factors. Future analyses are needed to identify additional social factors associated with delays in sacubitril/valsartan initiation and long-term adherence.

Background Social determinants of health are relevant to cardiovascular outcomes but have had limited examination in atrial fibrillation (AF). Objectives The purpose of this study was to examine the association of annual household income and cardiovascular outcomes in individuals with AF. Methods We analysed administrative claims for individuals with AF from 2009 to 2015 captured by a health claims database. We categorised estimates of annual household income as <$40 000; $40–$59 999; $60–$74 999; $75–$99 999; and ≥$100 000. Covariates included demographics, education, cardiovascular disease risk factors, comorbid conditions and anticoagulation. We examined event rates by income category and in multivariable-adjusted models in reference to the highest income category (≥$100 000). Results Our analysis included 336 736 individuals (age 72.7±11.9 years; 44.5% women; 82.6% white, 8.4% black, 7.0% Hispanic and 2.1% Asian) with AF followed for median (25th and 75th percentile) of 1.5 (95% CI 0.6 to 3.0) years. We observed an inverse association between income and heart failure and myocardial infarction (MI) with evidence of progressive risk across decreased income categories. Individuals with household income <$40 000 had the greatest risk for heart failure (HR 1.17; 95% CI 1.05 to 1.30) and MI (HR 1.18; 95% CI 0.98 to 1.41) compared with those with income ≥$100 000. Conclusions We identified an association between lower household income and adverse outcomes in a large cohort of individuals with AF. Our findings support consideration of income in the evaluation of cardiovascular risk in individuals with AF.