The Use of Rifaximin in the Prevention of Overt Hepatic Encephalopathy After Transjugular Intrahepatic Portosystemic Shunt

2021 ◽  
Author(s):  
Christophe Bureau ◽  
Dominique Thabut ◽  
Caroline Jezequel ◽  
Isabelle Archambeaud ◽  
Louis D’Alteroche ◽  
...  
Keyword(s):  
Hepatic Encephalopathy ◽  
Transjugular Intrahepatic Portosystemic Shunt ◽  
Portosystemic Shunt ◽  
Overt Hepatic Encephalopathy ◽  
Intrahepatic Portosystemic Shunt

scholarly journals Prediction of overt hepatic encephalopathy after transjugular intrahepatic portosystemic shunt treatment: a cohort study

2021 ◽  
Author(s):  
Yang Yang ◽  
Sirui Fu ◽  
Bin Cao ◽  
Kenan Hao ◽  
Yong Li ◽  
...  
Keyword(s):  
Hepatic Encephalopathy ◽  
Transjugular Intrahepatic Portosystemic Shunt ◽  
Portosystemic Shunt ◽  
Training Dataset ◽  
Validation Dataset ◽  
Clinical Factors ◽  
Imaging Characteristics ◽  
Overt Hepatic Encephalopathy ◽  
Intrahepatic Portosystemic Shunt ◽  
End Stage

Abstract Background/purpose Overt hepatic encephalopathy (HE) risk should be preoperatively predicted to identify patients suitable for curative transjugular intrahepatic portosystemic shunt (TIPS) instead of palliative treatments. Methods A total of 185 patients who underwent TIPS procedure were randomised (130 in the training dataset and 55 in the validation dataset). Clinical factors and imaging characteristics were assessed. Three different models were established by logistic regression analyses based on clinical factors (ModelC), imaging characteristics (ModelI), and a combination of both (ModelCI). Their discrimination, calibration, and decision curves were compared, to identify the best model. Subgroup analysis was performed for the best model. Results ModelCI, which contained two clinical factors and two imaging characteristics, was identified as the best model. The areas under the curve of ModelC, ModelI, and ModelCI were 0.870, 0.963, and 0.978 for the training dataset and 0.831, 0.971, and 0.969 for the validation dataset. The combined model outperformed the clinical and imaging models in terms of calibration and decision curves. The performance of ModelCI was not influenced by total bilirubin, Child–Pugh stages, model of end-stage liver disease score, or ammonia. The subgroup with a risk score ≥ 0.88 exhibited a higher proportion of overt HE (training dataset: 13.3% vs. 97.4%, p < 0.001; validation dataset: 0.0% vs. 87.5%, p < 0.001). Conclusion Our combination model can successfully predict the risk of overt HE post-TIPS. For the low-risk subgroup, TIPS can be performed safely; however, for the high-risk subgroup, it should be considered more carefully. Graphic abstract

Risk Factors for Hepatic Encephalopathy after Transjugular Intrahepatic Portosystemic Shunt in Patients with Hepatocellular Carcinoma and Portal Hypertension

2015 ◽  
Vol 24 (3) ◽  
pp. 301-307 ◽  
Author(s):  
Jiannan Yao ◽  
Li Zuo ◽  
Guangyu An ◽  
Zhendong Yue ◽  
Hongwei Zhao ◽  
...  
Keyword(s):  
Risk Factors ◽  
Hepatocellular Carcinoma ◽  
Portal Hypertension ◽  
Hepatic Encephalopathy ◽  
Pressure Gradient ◽  
Transjugular Intrahepatic Portosystemic Shunt ◽  
Meld Score ◽  
Portosystemic Shunt ◽  
Portal Flow ◽  
Intrahepatic Portosystemic Shunt

Aims: This study aimed at assessing the risk factors for hepatic encephalopathy (HE) after transjugular intrahepatic portosystemic shunt (TIPS) in patients with hepatocellular carcinoma (HCC) and portal hypertension. Method: Consecutive patients (n=279) with primary HCC who underwent TIPS between January 1997 and March 2012 at a single institution were retrospectively reviewed. Patients were followed up for 2 years. Pre-TIPS, peri-TIPS and post-TIPS clinical variables were reviewed using univariate and multivariate analyses to identify risk factors for HE after TIPS. Results: The overall incidence of HE was 41% (114/279). Multivariate analysis showed an increased odds for HE in patients with: >3 treatments with transcatheter arterial chemoembolization (TACE) and/or trans-arterial embolization (TAE) (odds ratio [OR], 4.078; 95% confidence interval [95%CI], 1.748-9.515); hepatopetal portal flow (OR, 2.362; 95%CI, 1.032-5.404); high portosystemic pressure gradient (OR, 1.198; 95%CI, 1.073-1.336) and high pre-TIPS MELD score (OR, 1.693; 95%CI, 1.390-2.062). Odds for HE were increased 1.693 fold for each 1-point increase in the MELD score, and 1.198 fold for each 1-mmHg decrease in the post-TIPS portosystemic pressure gradient. Conclusion: The identification of clinical variables associated with increased odds of HE may be useful for the selection of appropriate candidates for TIPS. Results suggest that an inappropriate decrease in the portosystemic pressure gradient might be associated with HE after TIPS. In addition, >3 treatments with TACE/TAE, hepatopetal portal flow, and high MELD score were also associated with increased odds of HE after TIPS. Key words:  –  –  – .

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