Social Determinants of Health and Racial Disparities in Cardiac Events in Breast Cancer

Author:

Stabellini Nickolas1234,Dmukauskas Mantas4,Bittencourt Marcio S.5,Cullen Jennifer6,Barda Amie J.47,Moore Justin X.8,Dent Susan9,Abdel-Qadir Husam1011,Kawatkar Aniket A.12,Pandey Ambarish13,Shanahan John14,Barnholtz-Sloan Jill S.1516,Waite Kristin A.15,Montero Alberto J.2,Guha Avirup1718

Affiliation:

1. Graduate Education Office, Case Western Reserve University School of Medicine, Cleveland, Ohio

2. Department of Hematology-Oncology, University Hospitals Seidman Cancer Center, Cleveland, Ohio

3. Faculdade Israelita de Ciências da Saúde Albert Einstein, Hospital Israelita Albert Einstein, São Paulo, SP, Brazil

4. Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio

5. Division of Cardiology, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania

6. Cancer Population Sciences, Case Comprehensive Cancer Center, Cleveland, Ohio

7. Department of Pediatrics, University Hospitals Rainbow Babies and Children’s Hospital, Cleveland, Ohio

8. Cancer Prevention, Control, and Population Health Program, Department of Medicine, Medical College of Georgia at Augusta University, Augusta, Georgia

9. Duke Cancer Institute, Department of Medicine, Duke University, Durham, North Carolina

10. Division of Cardiology, Peter Munk Cardiac Centre, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada

11. Cardiovascular Division, Women’s College Hospital, University of Toronto, Toronto, Ontario, Canada

12. Research and Evaluation Department, Kaiser Permanente Southern California, Pasadena, California

13. Division of Cardiology, Department of Internal Medicine, UT Southwestern Medical Center, Dallas, Texas

14. Cancer Informatics, University Hospitals Seidman Cancer Center, Cleveland, Ohio

15. Trans-Divisional Research Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland

16. Center for Biomedical Informatics and Information Technology, National Cancer Institute, National Institutes of Health, Bethesda, Maryland

17. Department of Medicine, Case Western Reserve University School of Medicine, Cleveland, Ohio

18. Cardio-Oncology Program, Department of Cardiology, Medical College of Georgia, Augusta University, Augusta, Georgia

Abstract

Background: Racial disparities have been reported for breast cancer and cardiovascular disease (CVD) outcomes. The determinants of racial disparities in CVD outcomes are not yet fully understood. We aimed to examine the impact of individual and neighborhood-level social determinants of health (SDOH) on the racial disparities in major adverse cardiovascular events (MACE; consisting of heart failure, acute coronary syndrome, atrial fibrillation, and ischemic stroke) among female patients with breast cancer. Methods: This 10-year longitudinal retrospective study was based on a cancer informatics platform with electronic medical record supplementation. We included women aged ≥18 years diagnosed with breast cancer. SDOH were obtained from LexisNexis, and consisted of the domains of social and community context, neighborhood and built environment, education access and quality, and economic stability. Race-agnostic (overall data with race as a feature) and race-specific machine learning models were developed to account for and rank the SDOH impact in 2-year MACE. Results: We included 4,309 patients (765 non-Hispanic Black [NHB]; 3,321 non-Hispanic white). In the race-agnostic model (C-index, 0.79; 95% CI, 0.78–0.80), the 5 most important adverse SDOH variables were neighborhood median household income (SHapley Additive exPlanations [SHAP] score [SS], 0.07), neighborhood crime index (SS = 0.06), number of transportation properties in the household (SS = 0.05), neighborhood burglary index (SS = 0.04), and neighborhood median home values (SS = 0.03). Race was not significantly associated with MACE when adverse SDOH were included as covariates (adjusted subdistribution hazard ratio, 1.22; 95% CI, 0.91–1.64). NHB patients were more likely to have unfavorable SDOH conditions for 8 of the 10 most important SDOH variables for the MACE prediction. Conclusions: Neighborhood and built environment variables are the most important SDOH predictors for 2-year MACE, and NHB patients were more likely to have unfavorable SDOH conditions. This finding reinforces that race is a social construct.

Publisher

Harborside Press, LLC

Subject

Oncology

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