WIP 36 - Comparison of feeding and hospital outcomes between patients undergoing surgical shunt placement vs ductal stent placement for ductal dependent pulmonary blood flow

Poster Number: WIP 36
Publication Number: WIP 36.705

Background: Patients diagnosed with congenital heart disease (CHD) with ductal dependent pulmonary blood flow require palliation to establish a secure source of pulmonary blood flow. In recent years, ductus arteriosus stenting to maintain pulmonary blood flow has been introduced as an acceptable alternative to surgical placement of a systemic to pulmonary artery shunt. While some initial studies show improved morbidities in patients undergoing ductal stent placement, the data on feeding outcomes in this patient population is lacking.

Objective: To determine feeding outcomes, including incidence of gastrostomy tube (GT) placement and by-mouth (PO) feeding, as well as other morbidities and mortality among infants with ductal dependent pulmonary blood flow palliated with a ductal stent compared to surgical shunts at the Children’s Hospital Colorado (CHCO).

Design/Methods: This is an IRB approved retrospective cohort study being conducted at CHCO to evaluate feeding and other outcomes in neonates (age 0 to 28 days) with ductal dependent pulmonary blood flow CHD. This diagnosis includes, but is not limited to, pulmonary atresia, tricuspid atresia, critical pulmonary stenosis, single ventricle heart disease, and tetralogy of Fallot. The study period includes January 2018 through June 2023. These patients will be identified through our institution’s surgical and interventional databases. Data is currently being collected via chart review and securely stored and managed using the RedCap database. Data to be collected includes patient demographics, cardiac and noncardiac diagnoses, feeding outcomes data (rate of PO feeding, placement of GT, incidence of necrotizing enterocolitis), hospital length of stay, ICU length of stay, mechanical ventilation time, vasoactive inotropic score, and survival. Descriptive and comparative analyses will be completed. Univariate and multivariate analyses will be performed to identify factors associated with various outcomes. We aim to complete data analysis by March 2024.