WIP 104 - Caring Hearts, Healthy Lives: Unraveling the Link Between Social Factors and Nutrition in Single Ventricle Patients.

Poster Number: WIP 104
Publication Number: WIP 104.924

Background: Single ventricle disease (SVD) accounts for 2-3% of the congenital heart disease population, with a high mortality rate if left unpalliated. Although curative treatment does not exist, three-stage palliation in early life improves survival. Recent surgical advancements have reduced mortality, but the interstage period (between first and second stage palliation) remains high-risk. Poor growth in SVD is linked to adverse outcomes, with limited studies looking at non-physiologic factors that influence growth in this patient population.

Objective: Socioeconomic factors (SEF) impact outcomes in various diseases, but most studies focus on influence on direct clinical care and surgical outcomes. We sought to determine if SEF had an impact on nutritional outcomes in SVD patients at our institution.

Design/Methods: We conducted a retrospective chart review approved by the institutional review board at Nationwide Children’s Hospital. The study included patients diagnosed with single ventricle heart disease between January 2012 and April 2022 who had transplant-free survival at one year of age. A total of 174 chart reviews were conducted, collecting patient demographics, nutritional parameters and SEF data. Analyses will be performed by Stata (Statacorp, College Station, TX). Patient demographic and clinical characteristics described will use means with standard deviations for continuous variables and frequencies with the percent of total for categorical variables. Multivariable-adjusted hazards ratio and 95% confidence intervals will be obtained using Cox proportional hazards regression models. SEFs, ventricular function, atrioventricular valve regurgitation, interstage procedures, major genetic syndromes, gestational age, birth weight will be included as model covariates. Linear mixed-effect regression will be used to examine associations between feeding outcomes and community-level deprivation index. Analysis of the data will be completed by January 31st, 2024.