| ISSN |
1007-9327 (print) and 2219-2840 (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) 2024. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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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 |
Gastroenterology & Hepatology |
| Manuscript Type |
Observational Study |
| Article Title |
Machine learning prediction of hepatic encephalopathy for long-term survival after transjugular intrahepatic portosystemic shunt in acute variceal bleeding
|
| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
De-Jia Liu, Li-Xuan Jia, Feng-Xia Zeng, Wei-Xiong Zeng, Geng-Geng Qin, Qi-Feng Peng, Qing Tan, Hui Zeng, Zhong-Yue Ou, Li-Zi Kun, Jian-Bo Zhao and Wei-Guo Chen |
| ORCID |
|
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Natural Science Foundation of Guangdong Province |
No. 2024A1515013069 |
|
| Corresponding Author |
Jian-Bo Zhao, MD, Division of Vascular and Interventional Radiology, Department of General Surgery, Nanfang Hospital, Southern Medical University, No. 1838 North Guangzhou Main Road, Guangzhou 510515, Guangdong Province, China. zhaojianbohgl@163.com |
| Key Words |
Transjugular intrahepatic portosystemic shunt; Acute variceal bleeding; Overt hepatic encephalopathy; Machine learning; Logistic regression |
| Core Tip |
This study developed a machine learning (ML) model to predict overt hepatic encephalopathy (OHE) after transjugular intrahepatic portosystemic shunt (TIPS) in patients with acute variceal bleeding (AVB). Utilizing a 5-year retrospective dataset of 218 patients, key features such as Child-Pugh score, age, and portal vein thrombosis were identified. The ML model demonstrated a strong performance, with an area under the curve of 0.825. This ML model effectively predicts post-TIPS OHE, providing a valuable tool for tailoring personalized treatment plans. Its superior performance over traditional models supports its integration into clinical practice to enhance outcomes for patients with AVB undergoing TIPS. |
| Publish Date |
2024-12-30 06:47 |
| Citation |
<p>Liu DJ, Jia LX, Zeng FX, Zeng WX, Qin GG, Peng QF, Tan Q, Zeng H, Ou ZY, Kun LZ, Zhao JB, Chen WG. Machine learning prediction of hepatic encephalopathy for long-term survival after transjugular intrahepatic portosystemic shunt in acute variceal bleeding. <i>World J Gastroenterol</i> 2025; 31(4): 100401</p> |
| URL |
https://www.wjgnet.com/1007-9327/full/v31/i4/100401.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v31.i4.100401 |
