Abstract
To study the impact of social determinants of health (SDoH) on pediatric extracorporeal membrane oxygenation (ECMO) outcomes. Retrospective study of children (< 18 yr) supported on ECMO (October 1, 2015 to March 1, 2021) using Pediatric Health Information System (44 U.S. children's hospitals). Patients were divided into five diagnostic categories: neonatal cardiac, pediatric cardiac, neonatal respiratory, pediatric respiratory, and sepsis. SDoH included the Child Opportunity Index (COI; higher indicates social advantage), race, ethnicity, payer, and U.S. region. Children without COI were excluded. Diagnostic category-specific clinical variables related to baseline health and illness severity were collected. None. Children supported on ECMO experienced a 33% in-hospital mortality (2863/8710). Overall, children with lower COI, "other" race, Hispanic ethnicity, public insurance and from South or West regions had greater mortality. Associations between SDoH and ECMO outcomes differed between diagnostic cohorts. Bivariate analyses found that only pediatric cardiac patients had an association between COI or race and mortality. Multivariable logistic regression analyses examined relationships between SDoH, clinical variables and mortality within diagnostic categories. Pediatric cardiac patients had 5% increased odds of death (95% CI, 1.01-1.09) for every 10-point decrement in COI, while Hispanic ethnicity was associated with higher survival (adjusted odds ratio [aOR] 0.72 [0.57-0.89]). Children with heart disease from the highest COI quintile had less cardiac-surgical complexity and earlier cannulation. Independent associations with mortality were observed in sepsis for Black race (aOR 1.62 [1.06-2.47]) and other payer in pediatric respiratory patients (aOR 1.94 [1.23-3.06]). SDoH are statistically associated with pediatric ECMO outcomes; however, associations differ between diagnostic categories. Influence of COI was observed only in cardiac patients while payer, race, and ethnicity results varied. Further research should investigate differences between diagnostic cohorts and age groups to understand drivers of inequitable outcomes.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have