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Updated: Sep 8, 2025

Measurement of the Hepatic Venous Pressure Gradient and Transjugular Liver Biopsy
Published on: June 18, 2020
A Liver Stiffness Measurement-Based Nomogram Predicts Variceal Rebleeding in Hepatitis B-Related Cirrhosis
Linxiang Liu1, Qi Liu1, Nanxi Xiao1
1Department of Gastroenterology, The First Affiliated Hospital of Nanchang University, Jiangxi Clinical Research Center for Gastroenterology, Nanchang, Jiangxi, China.
Background:
Cirrhosis esophageal variceal rebleeding is a major complication of chronic cirrhosis. The hepatic venous pressure gradient (HVPG) can predict the risk of rebleeding in patients with cirrhosis and has a good correlation with liver stiffness measurement (LSM). However, there are currently few studies based on liver stiffness to predict the risk of rebleeding in patients with liver cirrhosis. This study is aimed at exploring whether liver stiffness can predict rebleeding in patients with hepatitis B virus-related cirrhosis and developing an easy-to-use nomogram for predicting the risk of rebleeding in patients with liver cirrhosis undergoing secondary prevention.
Methods:
A prospective analysis of 289 cirrhosis patients was performed. Univariate and multivariate analyses were used to identify independent prognostic factors to create a nomogram. The performance of the nomogram was evaluated by using a bootstrapped-concordance index and calibration plots.
Results:
Use of a nonselective beta-blocker (NSBB) drug, LSM, hemoglobin, and platelet count were identified as factors that could predict rebleeding. We created a nomogram for rebleeding in cirrhosis by using these risk factors. The predictive ability of the nomogram was assessed by the C-index (0.772, 95% CI 0.732-0.822). The results of the calibration plots showed that the actual observation and prediction values obtained by the nomogram had good consistency.
Conclusions:
LSM can predict the risk of rebleeding in patients with cirrhosis, while the nomogram is a conventional tool for doctors to facilitate a personalized prognostic evaluation.
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