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©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastrointest Oncol. Jul 15, 2023; 15(7): 1241-1252
Published online Jul 15, 2023. doi: 10.4251/wjgo.v15.i7.1241
Published online Jul 15, 2023. doi: 10.4251/wjgo.v15.i7.1241
Development and validation of a postoperative pulmonary infection prediction model for patients with primary hepatic carcinoma
Chao Lu, Zhi-Xiang Xing, Xi-Gang Xia, Zhi-Da Long, Bo Chen, Peng Zhou, Rui Wang, Department of Hepatobiliary & Pancreaticospleen Surgery, Yangtze University, Jing Zhou hospital, Jingzhou 434020, Hubei Province, China
Author contributions: Lu C and Xing ZX contributed equally to this research; Wang R was the guarantor and designed the study; Lu C, Xing ZX, Xia XG, Long ZD, Chen B, and Zhou P participated in the acquisition, analysis, and interpretation of the data and drafted the initial manuscript; Lu C, Xing ZX, and Wang R revised the article critically for important intellectual content.
Institutional review board statement: The study was reviewed and approved by the Institutional Review Board of Jingzhou Hospital (Approval No. 2023-JH019).
Informed consent statement: All personal information of the patients was encrypted to prevent leakage and exempted from informed consent by the above ethics committee.
Conflict-of-interest statement: The authors declare that they have no conflicts of interest.
Data sharing statement: No additional data are available.
STROBE statement: The authors have read the STROBE Statement—checklist of items, and the manuscript was prepared and revised according to the STROBE Statement—checklist of items.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Rui Wang, MD, Surgical Oncologist, Department of Hepatobiliary & Pancreaticospleen Surgery, Yangtze University, Jing Zhou hospital, No. 26 Chuyuan Road, Jingzhou District, Jingzhou 434020, Hubei Province, China. wangrui_20222022@163.com
Received: May 1, 2023
Peer-review started: May 1, 2023
First decision: May 11, 2023
Revised: May 14, 2023
Accepted: June 12, 2023
Article in press: June 12, 2023
Published online: July 15, 2023
Peer-review started: May 1, 2023
First decision: May 11, 2023
Revised: May 14, 2023
Accepted: June 12, 2023
Article in press: June 12, 2023
Published online: July 15, 2023
Core Tip
Core Tip: Identifying risk factors for postoperative pulmonary infection in patients with primary hepatic carcinoma can improve the level of prevention and clinical treatment, ultimately reducing or even avoiding the occurrence of postoperative infection complications, reducing treatment time and costs, and improving patient efficacy and prognosis. The prediction model developed in our study provides valuable guidance for clinicians in predicting the risk of pulmonary infection and effectively preventing, diagnosing, and treating postoperative infection in patients with primary hepatic carcinoma, leading to an improved patient prognosis.