Social Drivers of Health, Management Bias, and Outcomes of Symptomatic Neonates With Tetralogy of Fallot

Le résumé fourni par la source

BACKGROUND: Advances in tetralogy of Fallot care have improved outcomes; however, sociodemographic disparities among infants with symptomatic tetralogy of Fallot requiring neonatal intervention (sTOF) remain incompletely characterized. OBJECTIVES: This study aimed to investigate sociodemographic and socioeconomic factors associated with management strategy and clinical outcomes in sTOF. METHODS: We conducted a retrospective cohort study of neonates with sTOF undergoing intervention between January 2005 and November 2017 at 9 centers in the Congenital Cardiac Research Collaborative. The primary outcome was management strategy: primary complete repair vs staged repair. The primary predictor was the Childhood Opportunity Index, a neighborhood-level health composite measure. Secondary predictors included distance to cardiac center, maternal race-ethnicity, language, and insurance. Group differences were assessed using chi-square/Fisher tests with Holm adjustment, and multivariable models determined associations between predictors and outcomes. RESULTS: Among 417 neonates, 180 (43%) underwent primary repair and 237 (57%) staged repair. Most were prenatally diagnosed (59%), non-Hispanic White (63%), and publicly insured (54%). In univariate analyses, Childhood Opportunity Index and maternal race-ethnicity were associated with management strategy; these associations attenuated after adjustment. Infants living >100 miles from a cardiac center had a higher hazard for mortality compared with those <50 miles (HR: 2.38; 95% CI: 1.07-5.30; P = 0.033). Maternal race-ethnicity and public insurance were associated with longer hospital stays and increased in-hospital complications. CONCLUSIONS: Sociodemographic factors, including geography, race-ethnicity, insurance, and neighborhood opportunity, are associated with management and outcomes in neonates with sTOF. Distance to care, maternal race-ethnicity, and insurance have notable impacts on these outcomes and warrant further assessment to ensure equitable decision-making management strategies.

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