Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.
World J Gastrointest Surg. Mar 27, 2026; 18(3): 113773
Published online Mar 27, 2026. doi: 10.4240/wjgs.v18.i3.113773
Published online Mar 27, 2026. doi: 10.4240/wjgs.v18.i3.113773
Predictive value of serum biochemical indicators combined with imaging scores for prognosis of traumatic liver rupture
Hang Yin, Yong Liu, Jia-Tong Chen, Zhuang Li, Yue Pan, Feng Zhu, Department of General Surgery, Sir Run Run Hospital, Nanjing Medical University, Nanjing 211166, Jiangsu Province, China
Author contributions: Yin H and Zhu F conceived and designed the study; Yin H, Liu Y, Chen JT, and Pan Y collected the data; Yin H and Li Z performed the statistical analysis; Liu Y performed the imaging scoring; Yin H drafted the manuscript; Zhu F provided critical revision and supervision; and all authors participated in the discussion and revision of the manuscript and approved the final version for publication.
Institutional review board statement: This study was approved by the Medical Ethics Committee of Sir Run Run Hospital, Nanjing Medical University, approval No. 2024-SR-070.
Informed consent statement: As this was a retrospective study using anonymized clinical data, the requirement for informed consent was waived by the Institutional Review Board of Sir Run Run Hospital, Nanjing Medical University.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Data sharing statement: The datasets generated and analyzed during the current study are available from the corresponding author upon reasonable request.
Corresponding author: Feng Zhu, Department of General Surgery, Sir Run Run Hospital, Nanjing Medical University, No. 109 Longmian Avenue, Jiangning District, Nanjing 211166, Jiangsu Province, China. zhufeng1524000@163.com
Received: October 17, 2025
Revised: November 23, 2025
Accepted: January 9, 2026
Published online: March 27, 2026
Processing time: 161 Days and 4 Hours
Revised: November 23, 2025
Accepted: January 9, 2026
Published online: March 27, 2026
Processing time: 161 Days and 4 Hours
Core Tip
Core Tip: This study established a comprehensive prognostic prediction model for traumatic liver rupture by integrating serum biochemical indicators with clinical assessment and imaging evaluation. In a cohort of 186 patients, the integrated model demonstrated superior predictive performance compared to single-modality approaches. The model showed excellent discrimination and clinical utility, offering a practical tool for early identification of high-risk patients and guiding individualized treatment strategies in traumatic liver rupture management. All predictive variables are routinely available within 2 hours of hospital admission, ensuring rapid risk assessment without additional costs or specialized testing.