Treffer: Transanal Endorectal Pull-Through for Hirschsprung's Disease: Complications and Lessons from Our Practice and the Literature.

Background/Objectives: Hirschsprung's disease (HD) is a congenital disorder characterised by the absence of ganglion cells in the distal bowel, resulting in functional obstruction. The transanal endorectal pull-through (TEPT) procedure, a minimally invasive approach, aims to treat HD by removing the aganglionic segment. This study assessed the feasibility, safety, and efficacy of single-stage TEPT in paediatric patients, focusing on postoperative complications, bowel function, and quality of life. Methods: A retrospective cohort study was conducted on 150 children who underwent single-stage TEPT from January 2005 to December 2023 at the Medical University of Gdansk. Data were collected from medical records, including demographics, preoperative assessments, surgical details, postoperative management, and follow-up outcomes. Statistical analyses were performed using Microsoft Excel 365 and the programming language Python 3.12. The mean age at surgery was 13 months, with a male-to-female ratio of 2.75:1. The mean operative time was 129 min, and the mean hospital stay was seven days. Results: Postoperative complications included anastomotic leak (4%), wound infections (15%), and enterocolitis (26%). Redo surgeries were required in 18% of cases due to persistent constipation and obstructive symptoms. This article includes a comprehensive review of the literature. Conclusions: TEPT demonstrates a favourable safety profile and efficacy in treating HD, though significant concerns include complications such as enterocolitis and the need for additional surgeries. Surgical expertise and thorough preoperative and postoperative management are crucial to optimising patient outcomes. [ABSTRACT FROM AUTHOR]

Copyright of Children is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)