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Hepatic-associated vascular morphological assessment to predict overt hepatic encephalopathy before TIPS: a multicenter study.
Chen, Xiaoqiong; Huang, Mingsheng; Yu, Xiangrong; Chen, Jinqiang; Xu, Chunchun; Jiang, Yunzheng; Li, Yiting; Zhao, Yujie; Duan, Chongyang; Luo, Yixin; Zhang, Jiawei; Lv, Weifu; Li, Qiyang; Luo, Junyang; Dong, Dandan; An, Taixue; Lu, Ligong; Fu, Sirui.
Afiliación
  • Chen X; Zhuhai Interventional Medical Centre, Zhuhai Clinical Medical College of Jinan University (Zhuhai People's Hospital), No. 79 Kangning Road, Zhuhai, 519000, Guangdong Province, China.
  • Huang M; Zhuhai Engineering Technology Research Center of Intelligent Medical Imaging, Zhuhai Clinical Medical College of Jinan University (Zhuhai People's Hospital), No. 79 Kangning Road, Zhuhai, 519000, Guangdong Province, China.
  • Yu X; Department of Interventional Radiology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
  • Chen J; Zhuhai Engineering Technology Research Center of Intelligent Medical Imaging, Zhuhai Clinical Medical College of Jinan University (Zhuhai People's Hospital), No. 79 Kangning Road, Zhuhai, 519000, Guangdong Province, China.
  • Xu C; Department of Radiology, Zhuhai Clinical Medical College of Jinan University (Zhuhai People's Hospital), Zhuhai, China.
  • Jiang Y; Zhuhai Interventional Medical Centre, Zhuhai Clinical Medical College of Jinan University (Zhuhai People's Hospital), No. 79 Kangning Road, Zhuhai, 519000, Guangdong Province, China.
  • Li Y; Zhuhai Engineering Technology Research Center of Intelligent Medical Imaging, Zhuhai Clinical Medical College of Jinan University (Zhuhai People's Hospital), No. 79 Kangning Road, Zhuhai, 519000, Guangdong Province, China.
  • Zhao Y; Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, China.
  • Duan C; Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, China.
  • Luo Y; Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, China.
  • Zhang J; Zhuhai Interventional Medical Centre, Zhuhai Clinical Medical College of Jinan University (Zhuhai People's Hospital), No. 79 Kangning Road, Zhuhai, 519000, Guangdong Province, China.
  • Lv W; Zhuhai Engineering Technology Research Center of Intelligent Medical Imaging, Zhuhai Clinical Medical College of Jinan University (Zhuhai People's Hospital), No. 79 Kangning Road, Zhuhai, 519000, Guangdong Province, China.
  • Li Q; Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, China.
  • Luo J; Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, China.
  • Dong D; Zhuhai Interventional Medical Centre, Zhuhai Clinical Medical College of Jinan University (Zhuhai People's Hospital), No. 79 Kangning Road, Zhuhai, 519000, Guangdong Province, China.
  • An T; Zhuhai Engineering Technology Research Center of Intelligent Medical Imaging, Zhuhai Clinical Medical College of Jinan University (Zhuhai People's Hospital), No. 79 Kangning Road, Zhuhai, 519000, Guangdong Province, China.
  • Lu L; Interventional Radiology Department, Division of Life Sciences and Medicine, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, China.
  • Fu S; Department of Interventional Radiology, Shenzhen People's Hospital, Shenzhen, China.
Hepatol Int ; 18(4): 1238-1248, 2024 Aug.
Article en En | MEDLINE | ID: mdl-38833138
ABSTRACT

BACKGROUND:

To provide patients the chance of accepting curative transjugular intrahepatic portosystemic shunt (TIPS) rather than palliative treatments for portal hypertension-related variceal bleeding and ascites, we aimed to assess hepatic-associated vascular morphological change to improve the predictive accuracy of overt hepatic encephalopathy (HE) risks.

METHODS:

In this multicenter study, 621 patients undergoing TIPS were subdivided into training (413 cases from 3 hospitals) and external validation datasets (208 cases from another 3 hospitals). In addition to traditional clinical factors, we assessed hepatic-associated vascular morphological changes using maximum diameter (including absolute and ratio values). Three predictive models (clinical, hepatic-associated vascular, and combined) were constructed using logistic regression. Their discrimination and calibration were compared to test the necessity of hepatic-associated vascular assessment and identify the optimal model. Furthermore, to verify the improved performance of ModelC-V, we compared it with four previous models, both in discrimination and calibration.

RESULTS:

The combined model outperformed the clinical and hepatic-associated vascular models (training 0.814, 0.754, 0.727; validation 0.781, 0.679, 0.776; p < 0.050) and had the best calibration. Compared to previous models, ModelC-V showed superior performance in discrimination. The high-, middle-, and low-risk populations displayed significantly different overt HE incidence (p < 0.001). Despite the limited ability of pre-TIPS ammonia to predict overt HE risks, the combined model displayed a satisfactory ability to predict overt HE risks, both in the low- and high-ammonia subgroups.

CONCLUSION:

Hepatic-associated vascular assessment improved the predictive accuracy of overt HE, ensuring curative chances by TIPS for suitable patients and providing insights for cirrhosis-related studies.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Encefalopatía Hepática / Derivación Portosistémica Intrahepática Transyugular Límite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Hepatol Int Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Encefalopatía Hepática / Derivación Portosistémica Intrahepática Transyugular Límite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Hepatol Int Año: 2024 Tipo del documento: Article País de afiliación: China