Abstract 16512: Significant Sociodemographic Disparities and the Burden of Major Adverse Cardiac and Cerebrovascular Events Among Cancer Survivors Hospitalized With COVID-19: A Nationwide Analysis

Abstract

Background: Cancer survivors are at an increased risk of cardiovascular disease due to various treatment modalities, and COVID-19 can further complicate their cardiovascular health. Therefore, we aimed to study the burden of major adverse cardiac and cerebrovascular events (MACCE) among cancer survivors hospitalized with COVID-19 and associated sociodemographic disparities. Methods: We analyzed the National Inpatient Sample Database (2020) to identify COVID-19 related adult (≥18 years old) hospitalizations among cancer survivors and associated MACCE (all-cause mortality, acute myocardial infarction, cardiac arrest, and stroke) using ICD-10 codes. A multivariable regression analysis of MACCE based on disparities like age, sex, race, and household income was done. Results: Of 112,270 COVID-19 related admissions in cancer survivors (51.8% males, 68% white, 14.7% black, and 9.8% Hispanic), 17.8% (n = 19935) patients experienced in-hospital MACCE. All MACCE events were higher among patients aged ≥ 65 years and 45-64 years compared with the 18-44 year age group, with ORs of 5.61 (95% CI: 3.43-9.19) and 2.30 (95% CI: 1.41-3.76) respectively. Males have higher odds of MACCE than females (OR 1.33, 95% CI: 1.23-1.43). The odds of MACCE were higher in Hispanics (OR 1.23, 95% CI: 1.08-1.39) and Native Americans (OR 1.71, 95% CI: 1.08-2.73) compared to Whites. Lowest income quartile patients had a higher MACCE than highest-income quartile patients (OR 1.13, 95% CI: 1.00-1.28). For all the above-mentioned ORs, the level of significance was p<0.05. Conclusion: Among COVID-19 related admissions in cancer survivors, elderly patients, males, Hispanics, Native Americans, and those in the lowest income quartile are prone to have increased MACCE. Factors like age, sex, race, and socioeconomic status seem to play a role in MACCE incidence. Understanding these factors may help emphasize improving patient care, address health equity issues, and inform healthcare policymakers.