Nomogram model for predicting the risk of portal vein thrombosis in liver cirrhosis
Objective To analyze the risk factors of portal vein thrombosis(PVT)in patients with liver cirrhosis,and to predict the risk of PVT in liver cirrhosis by Nomogram model.Methods The clinical data of 208 patients with liver cirrhosis who were hospitalized in the Department of Gastroenterology and Infectious Diseases of our hospital from Jun.2018 to Oct.2022 were retrospectively analyzed.According to whether they were combined with PVT,they were divided into PVT group(n=85)and non-PVT group(n=123).Univariate and multivariate Logistic regression analysis was performed on the data using SPSS 25.0 software to screen out the risk factors for PVT in liver cirrhosis.Based on the results of multivariate analysis,R language software was used to establish a Nomogram model,and the accuracy and clinical practicability of the Nomogram model were evaluated by drawing ROC curve and calibration curve.Results There were significant differences in splenectomy,endoscopic treatment,WBC,FBG,D-dimer and portal vein diameter between the two groups(P<0.05).Among them,portal vein diameter widening,splenectomy,endoscop-ic esophagogastric variceal ligation or sclerosing agent injection were independent risk factors for PVT in patients with liver cirrhosis(P<0.05).The Nomogram model based on the results of Logistic regression analysis had high accuracy and discrimination.It had certain clinical utility.Conclusion For patients with a high score of the Nomogram model,regular monitoring and follow-up should be paid attention to,and preventive anticoagulant therapy should be given when necessary after excluding the risk of bleeding,so as to reduce the risk of thrombosis.
Liver cirrhosisPortal vein thrombosisRisk factorsNomogram model
NETL
NSTL
万方数据
