| ISSN |
1948-9366 (online) |
| 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/ |
| Copyright |
© The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Surgery |
| Manuscript Type |
Retrospective Study |
| Article Title |
Risk factors and prediction model for inpatient surgical site infection after elective abdominal surgery
|
| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
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 and Xiang‐Long Duan |
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Key Research and Development Program of Shaanxi |
2020GXLH-Y-019 |
| Key Research and Development Program of Shaanxi |
2022KXJ-141 |
| Innovation Capability Support Program of Shaanxi |
2019GHJD-14 |
| Innovation Capability Support Program of Shaanxi |
2021TD-40 |
| Science and Technology Talent Support Program of Shaanxi Provincial People's Hospital |
2021LJ-05 |
| 2023 Natural Science Basic Research Foundation of Shaanxi Province |
2023-JC-YB-739 |
|
| 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 |
| Key Words |
Surgical site infections; Risk factors; Abdominal surgery; Prediction model |
| 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. |
| Publish Date |
2023-03-27 14:19 |
| Citation |
Zhang J, Xue F, Liu SD, Liu D, Wu YH, Zhao D, Liu ZM, Ma WX, Han RL, Shan L, Duan XL. Risk factors and prediction model for inpatient surgical site infection after elective abdominal surgery. World J Gastrointest Surg 2023; 15(3): 387-397 |
| URL |
https://www.wjgnet.com/1948-9366/full/v15/i3/387.htm |
| DOI |
https://dx.doi.org/10.4240/wjgs.v15.i3.387 |
