Publication Name	World Journal of Gastrointestinal Surgery
Manuscript ID	120759
Country	China

Category	Surgery
Manuscript Type	Retrospective Study
Article Title	Machine learning models for predicting acute kidney injury after pediatric living donor liver transplantation in biliary atresia
Manuscript Source	Unsolicited Manuscript
All Author List	Rong-Rong Wang, Min Zhu, Heng-Chang Ren and Wen-Li Yu
Funding Agency and Grant Number	Funding Agency Grant Number Tianjin Key Clinical Specialty Construction Project, Tianjin Key Medical Discipline Construction Project TJYXZDXK-3-022C Scientific Research Program of the Tianjin Municipal Education Commission 2025ZD40
Corresponding Author	Wen-Li Yu, PhD, Department of Anesthesiology, Tianjin First Central Hospital, No. 24 Fukang Road, Tianjin 300192, China. yzxyuwenli@163.com
Key Words	Pediatric living donor liver transplantation; Acute kidney injury; Machine learning; Risk prediction
Core Tip	This study included 340 children with biliary atresia who underwent liver transplantation. Seven key predictors of acute kidney injury (AKI) were screened out by least absolute shrinkage and selection operator algorithm, including pre-operative/post-operative creatinine (Cr), blood calcium and lactic acid levels during the anhepatic phase, gender, the amount of fresh frozen plasma infused during the operation, and post-operative aspartate aminotransferase level. Nine machine learning methods, including XGBoost, were used to construct the postoperative AKI prediction model based on other features after excluding postoperative Cr, and their prediction performance was compared. This study aims to assist clinicians in early intervention and improve the prognosis of children.
Citation	Wang RR, Zhu M, Ren HC, Yu WL. Machine learning models for predicting acute kidney injury after pediatric living donor liver transplantation in biliary atresia. World J Gastrointest Surg 2026; In press

Received	2026-03-13 01:12
Peer-Review Started	2026-03-13 01:15
First Decision by Editorial Office Director	2026-04-10 09:43
Return for Revision	2026-04-11 01:55
Revised	2026-04-14 14:22
Publication Fee Transferred	2026-04-21 09:13
Second Decision by Editor	2026-05-08 02:37
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-05-08 09:52
Articles in Press	2026-05-08 09:52
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1948-9366 (online)
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