Hepatic encephalopathy post-TIPS: Current status and prospects in predictive assessment
Transjugular intrahepatic portosystemic shunt (TIPS) is an essential procedure for the treatment of portal hypertension but can result in hepatic encephalopathy (HE), a serious complication that worsens patient outcomes. Investigating predictors of HE after TIPS is essential to improve prognosis. Th...
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| Language: | English |
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Elsevier
2024-12-01
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| Series: | Computational and Structural Biotechnology Journal |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2001037024002423 |
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| author | Xiaowei Xu Yun Yang Xinru Tan Ziyang Zhang Boxiang Wang Xiaojie Yang Chujun Weng Rongwen Yu Qi Zhao Shichao Quan |
| author_facet | Xiaowei Xu Yun Yang Xinru Tan Ziyang Zhang Boxiang Wang Xiaojie Yang Chujun Weng Rongwen Yu Qi Zhao Shichao Quan |
| author_sort | Xiaowei Xu |
| collection | DOAJ |
| description | Transjugular intrahepatic portosystemic shunt (TIPS) is an essential procedure for the treatment of portal hypertension but can result in hepatic encephalopathy (HE), a serious complication that worsens patient outcomes. Investigating predictors of HE after TIPS is essential to improve prognosis. This review analyzes risk factors and compares predictive models, weighing traditional scores such as Child-Pugh, Model for End-Stage Liver Disease (MELD), and albumin-bilirubin (ALBI) against emerging artificial intelligence (AI) techniques. While traditional scores provide initial insights into HE risk, they have limitations in dealing with clinical complexity. Advances in machine learning (ML), particularly when integrated with imaging and clinical data, offer refined assessments. These innovations suggest the potential for AI to significantly improve the prediction of post-TIPS HE. The study provides clinicians with a comprehensive overview of current prediction methods, while advocating for the integration of AI to increase the accuracy of post-TIPS HE assessments. By harnessing the power of AI, clinicians can better manage the risks associated with TIPS and tailor interventions to individual patient needs. Future research should therefore prioritize the development of advanced AI frameworks that can assimilate diverse data streams to support clinical decision-making. The goal is not only to more accurately predict HE, but also to improve overall patient care and quality of life. |
| format | Article |
| id | doaj-art-60304e6b31904a108abbfdea8730aebc |
| institution | DOAJ |
| issn | 2001-0370 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Computational and Structural Biotechnology Journal |
| spelling | doaj-art-60304e6b31904a108abbfdea8730aebc2025-08-20T02:52:27ZengElsevierComputational and Structural Biotechnology Journal2001-03702024-12-012449350610.1016/j.csbj.2024.07.008Hepatic encephalopathy post-TIPS: Current status and prospects in predictive assessmentXiaowei Xu0Yun Yang1Xinru Tan2Ziyang Zhang3Boxiang Wang4Xiaojie Yang5Chujun Weng6Rongwen Yu7Qi Zhao8Shichao Quan9Department of Gastroenterology Nursing Unit, Ward 192, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, ChinaSchool of Nursing, Wenzhou Medical University, Wenzhou 325001, ChinaThe First School of Medicine, School of Information and Engineering, Wenzhou Medical University, Wenzhou 325001, ChinaSchool of Clinical Medicine, Guizhou Medical University, Guiyang 550025, ChinaThe First School of Medicine, School of Information and Engineering, Wenzhou Medical University, Wenzhou 325001, ChinaWenzhou Medical University Renji College, Wenzhou 325000, ChinaThe Fourth Affiliated Hospital Zhejiang University School of Medicine, Yiwu 322000, ChinaWenzhou Institute, University of Chinese Academy of Sciences, Wenzhou 325000, China; Corresponding authors.School of Computer Science and Software Engineering, University of Science and Technology Liaoning, Anshan 114051, China; Corresponding authors.Department of Big Data in Health Science, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China; Corresponding authors.Transjugular intrahepatic portosystemic shunt (TIPS) is an essential procedure for the treatment of portal hypertension but can result in hepatic encephalopathy (HE), a serious complication that worsens patient outcomes. Investigating predictors of HE after TIPS is essential to improve prognosis. This review analyzes risk factors and compares predictive models, weighing traditional scores such as Child-Pugh, Model for End-Stage Liver Disease (MELD), and albumin-bilirubin (ALBI) against emerging artificial intelligence (AI) techniques. While traditional scores provide initial insights into HE risk, they have limitations in dealing with clinical complexity. Advances in machine learning (ML), particularly when integrated with imaging and clinical data, offer refined assessments. These innovations suggest the potential for AI to significantly improve the prediction of post-TIPS HE. The study provides clinicians with a comprehensive overview of current prediction methods, while advocating for the integration of AI to increase the accuracy of post-TIPS HE assessments. By harnessing the power of AI, clinicians can better manage the risks associated with TIPS and tailor interventions to individual patient needs. Future research should therefore prioritize the development of advanced AI frameworks that can assimilate diverse data streams to support clinical decision-making. The goal is not only to more accurately predict HE, but also to improve overall patient care and quality of life.http://www.sciencedirect.com/science/article/pii/S2001037024002423Hepatic encephalopathyPredictionRiskTransjugular intrahepatic portosystemic shunt |
| spellingShingle | Xiaowei Xu Yun Yang Xinru Tan Ziyang Zhang Boxiang Wang Xiaojie Yang Chujun Weng Rongwen Yu Qi Zhao Shichao Quan Hepatic encephalopathy post-TIPS: Current status and prospects in predictive assessment Computational and Structural Biotechnology Journal Hepatic encephalopathy Prediction Risk Transjugular intrahepatic portosystemic shunt |
| title | Hepatic encephalopathy post-TIPS: Current status and prospects in predictive assessment |
| title_full | Hepatic encephalopathy post-TIPS: Current status and prospects in predictive assessment |
| title_fullStr | Hepatic encephalopathy post-TIPS: Current status and prospects in predictive assessment |
| title_full_unstemmed | Hepatic encephalopathy post-TIPS: Current status and prospects in predictive assessment |
| title_short | Hepatic encephalopathy post-TIPS: Current status and prospects in predictive assessment |
| title_sort | hepatic encephalopathy post tips current status and prospects in predictive assessment |
| topic | Hepatic encephalopathy Prediction Risk Transjugular intrahepatic portosystemic shunt |
| url | http://www.sciencedirect.com/science/article/pii/S2001037024002423 |
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