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


Journal

Journal of the National Comprehensive Cancer Network : JNCCN
ISSN: 1540-1413
Titre abrégé: J Natl Compr Canc Netw
Pays: United States
ID NLM: 101162515

Informations de publication

Date de publication:
07 2023
Historique:
received: 27 01 2023
accepted: 20 03 2023
medline: 13 7 2023
pubmed: 12 7 2023
entrez: 11 7 2023
Statut: ppublish

Résumé

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. 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. 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. 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.

Sections du résumé

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.

Identifiants

pubmed: 37433439
doi: 10.6004/jnccn.2023.7023
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

705-714.e17

Commentaires et corrections

Type : CommentIn
Type : CommentIn

Auteurs

Nickolas Stabellini (N)

Graduate Education Office, Case Western Reserve University School of Medicine, Cleveland, Ohio.
Department of Hematology-Oncology, University Hospitals Seidman Cancer Center, Cleveland, Ohio.
Faculdade Israelita de Ciências da Saúde Albert Einstein, Hospital Israelita Albert Einstein, São Paulo, SP, Brazil.
Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio.

Mantas Dmukauskas (M)

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

Marcio S Bittencourt (MS)

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

Jennifer Cullen (J)

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

Amie J Barda (AJ)

Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio.
Department of Pediatrics, University Hospitals Rainbow Babies and Children's Hospital, Cleveland, Ohio.

Justin X Moore (JX)

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

Susan Dent (S)

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

Husam Abdel-Qadir (H)

Division of Cardiology, Peter Munk Cardiac Centre, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada.
Cardiovascular Division, Women's College Hospital, University of Toronto, Toronto, Ontario, Canada.

Aniket A Kawatkar (AA)

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

Ambarish Pandey (A)

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

John Shanahan (J)

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

Jill S Barnholtz-Sloan (JS)

Trans-Divisional Research Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Center for Biomedical Informatics and Information Technology, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.

Kristin A Waite (KA)

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

Alberto J Montero (AJ)

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

Avirup Guha (A)

Department of Medicine, Case Western Reserve University School of Medicine, Cleveland, Ohio.
Cardio-Oncology Program, Department of Cardiology, Medical College of Georgia, Augusta University, Augusta, Georgia.

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