肝硬化并发门静脉血栓形成患者列线图预测模型分析及外部验证

doi:10.3969/j.issn.1672-5069.2022.06.023

Abstract

Abstract: Objective The aim of this study was to establish a nomogram for predicting portal venous thrombosis (PVT) in patients with liver cirrhosis (LC). Method 1000 patients with LC were enrolled in our hospital between January 2010 and October 2021, and the clinical materials, including general data, serological indicators, ultrasonography and CT imaging were collected. A nomogram model was established by Lasso and multivariate Logistic regression analysis. Results The risk factours included splenectomy, widened portal vain diameters and splenic vain diameters in patients with liver cirrhosis complicated by PVT (P＜0.05); in the external validation population, the AUC of the nomogram prediction model was 0.751 (95%CI:0.6740-0.827) with a good discrimination (P=0.170, by Hosmer-Lemeshow test) , suggesting a high reliability of the model. Conclusion We establish an easy-to-use nomogram to predict the PVT formation in patients with cirrhosis. This nomogram might help clinicians screen patients at high risk of PVT, make in timely and individualized clinical decisions to improve outcomes of them.

Key words: Liver cirrhosis, Portal vein thrombosis, Nomogarms, Prognosis

Zhu Haiyan, Fan Xiaotang. Nomogram model in predicting portal venous thrombosis in patients with liver cirrhosis[J]. Journal of Practical Hepatology, 2022, 25(6): 848-852.

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Nomogram model in predicting portal venous thrombosis in patients with liver cirrhosis

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