Why the study?
Although many studies have evaluated racial disparities in heart failure patients, minimal data exist for the cardio-oncology population.
At a safety net hospital, race did not impact cardio-oncology surveillance or cardiotoxicity rates, though higher neighborhood income was associated with increased cardiology referrals.
Surveillance equal across races at safety-net hospital; leaves open whether equity holds in other cardio-oncology settings.
Background: Cardiotoxicity remains a dreaded complication for patients undergoing chemotherapy with human epidermal growth factor (HER)-2 receptor antagonists and anthracyclines. Though many studies have looked at racial disparities in heart failure patients, minimal data is present for the cardio-oncology population. Methods: We queried the echocardiogram database at a safety net hospital, defined by a high proportion of patients with Medicaid or no insurance, for patients who received HER2 receptor antagonists and/or anthracyclines from January 2016 to December 2018. Patient demographics, clinical characteristics, and treatment outcomes were collected. Based on US census data in 2019, home ZIP codes were used to group patients into quartiles based on median annual household income. The primary end point studied was referral rate to cardiology for patients undergoing chemotherapy. Results: We identified 151 patients who had echocardiograms and also underwent treatment with HER2 receptor antagonists and/or anthracyclines, of which 70 (46.4%) were referred to the cardio-oncology program at our institution. Basic demographics were similar, but white patients were more likely to live in ZIP codes with higher income quartiles (p<0.00001). Comparing between racial groups, there was no statistical difference in the percentage of patients that had a reduction in ejection fraction (EF) (p=0.78). There was no statistical difference between racial groups in the number of cardiology or oncology appointments attended, number of appointments cancelled, or average number of echocardiograms received. A logistic regression model was created using race, age, gender, insurance, income quartile by home ZIP code, cardiomyopathy risk factors (hypertension, hyperlipidemia, diabetes mellitus, smoking, family history, age >65), cancer type, cancer stage, and chemotherapy. This model found that there was an increased referral rate among patients from higher income quartiles (p=0.004), patients with a history of hypertension (p=0.0001), and patients with breast cancer (p=0.04). Conclusions: The results of this study suggest that patients of our cardio-oncology population at a safety net hospital receive the same level of surveillance and treatment, and develop drop in ejection fraction at similar rates regardless of their race. However, patients that reside in ZIP codes associated with higher income quartiles do trend towards increased referrals.
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Chen et al. (2020) studied this question.
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