Association of Operative Approach With Postoperative Outcomes in Neonates Undergoing Surgical Repair of Esophageal Atresia and Tracheoesophageal Fistula

Introduction: Minimally invasive surgery (MIS) is gaining traction as a first-line approach to repair congenital anomalies. This study aims to evaluate outcomes for neonates undergoing open versus MIS repairs for esophageal atresia/tracheoesophageal fistula (EA/TEF). Methods: In this retrospective study, neonates undergoing EA/TEF repair from 2013 to 2020 were identified using the National Surgical Quality Improvement Program-Pediatric database. Proportions of operative approach (open vs. MIS) over time were analyzed. A propensity score-matched analysis using preoperative characteristics was performed and outcomes were compared including composite morbidity and reintervention rates (overall, major [thoracoscopy, thoracotomy], and minor [chest/ feeding tube placement, endoscopy]) between operative approaches. Pearson's chi-square or Fisher's exact tests were used as appropriate. Results: We identified 1738 neonates who underwent EA/TEF repair. MIS utilization increased over time. Pre-match, neonates undergoing open repair were more likely to be premature, lower weight, ventilator dependent, and have cardiac risk factors with higher severity. Post-match, the groups were similar and included 340 neonates per group. MIS repair was associated with longer median operative time (209 vs. 174 min, p < 0.001) and increased overall post-operative intervention rates (7.6% vs. 2.9%, p = 0.01). There were no differences in composite morbidity (24.4% vs. 25.0%, p = 0.86) outside of reintervention. Conclusion: MIS approach for neonates with EA/TEF appears to be associated with a higher rate of reinterventions. Further studies evaluating MIS approaches for the repair of EA/TEF are needed to better define short- and long-term outcomes. Type of Study: Retrospective comparative study. Level of Evidence: Level III. (c) 2024 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.