Retrospective Study
Copyright ©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastrointest Surg. Mar 27, 2023; 15(3): 387-397
Published online Mar 27, 2023. doi: 10.4240/wjgs.v15.i3.387
Risk factors and prediction model for inpatient surgical site infection after elective abdominal surgery
Jin Zhang, Fei Xue, Si-Da Liu, Dong Liu, Yun-Hua Wu, Dan Zhao, Zhou-Ming Liu, Wen-Xing Ma, Ruo-Lin Han, Liang Shan, Xiang-Long Duan
Jin Zhang, Fei Xue, Si-Da Liu, Dong Liu, Yun-Hua Wu, Zhou-Ming Liu, Wen-Xing Ma, Ruo-Lin Han, Xiang-Long Duan, Second Department of General Surgery, Shaanxi Provincial People's Hospital, Xi’an 710068, Shaanxi Province, China
Fei Xue, Xiang-Long Duan, Institute of Medical Research, Northwestern Polytechnical University, Xi’an 710072, Shaanxi Province, China
Fei Xue, Xiang-Long Duan, Second Department of General Surgery, Third Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710068, Shaanxi Province, China
Dan Zhao, Computer Science School, Universiti Sains Malaysia, Penang 11800, Malaysia
Liang Shan, Medical Service, Shaanxi Provincial People's Hospital, Xi’an 710068, Shaanxi Province, China
Author contributions: All the authors solely contributed to this paper; Zhang J, Xue F, Liu SD, Liu D and Wu YH designed the research study; Zhao D, Liu ZM, Ma WX and Han RL performed the research; Zhang J, Zhao D and Xue F analyzed the data and wrote the manuscript; Shan L and Duan XL were responsible for revising the manuscript for important intellectual content; and all authors read and approved the final version.
Supported by Key Research and Development Program of Shaanxi, No. 2020GXLH-Y-019 and 2022KXJ-141; Innovation Capability Support Program of Shaanxi, No. 2019GHJD-14 and 2021TD-40; Science and Technology Talent Support Program of Shaanxi Provincial People's Hospital, No. 2021LJ-05; 2023 Natural Science Basic Research Foundation of Shaanxi Province, No. 2023-JC-YB-739.
Institutional review board statement: The study was reviewed and approved by the ethics committee of the Shaanxi Provincial People's Hospital, No. 2021-315.
Informed consent statement: All study participants, or their legal guardian, provided informed written consent prior to study enrollment.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Data sharing statement: Dataset available from the corresponding author at 584710525@qq.com. Participants gave informed consent for data sharing.
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: Liang Shan, MD, Attending Doctor, Medical Service, Shaanxi Provincial People's Hospital, No. 256 West Youyi Road, Beilin District, Xi’an 710068, Shaanxi Province, China. 584710525@qq.com
Received: October 31, 2022
Peer-review started: October 31, 2022
First decision: January 3, 2023
Revised: January 11, 2023
Accepted: February 15, 2023
Article in press: February 15, 2023
Published online: March 27, 2023
Processing time: 147 Days and 6.3 Hours
Core Tip

Core Tip: Herein, we retrospectively analysed the data, including patient personal information, test indicators, and surgical information, of patients undergoing elective abdominal surgery and used univariate and multivariate logistic regression analyses to assess risk factors for surgical site infection (SSI) in hospitalised patients. Nomograms were used in the prediction models. Subject working characteristics and area under the curve were used to measure the accuracy of the model up to 97%. R language was used to create a web page for dynamic predictive analysis of abdominal SSIs. A new predictive approach for preventing abdominal SSIs is made easier and more precise.