Abstract: Objective To construct a predictive model of thrombus clearance rate to guide the selection of therapeutic strategies for acute lower extremity venous thromboembolism patients by studying the clinic data of patients who underwent AngioJet mechanical thromboaspiration surgery.Methods By calculating the thrombus clearance rate in 83 VTE patients treated with AngioJet surgery,correlation analysis of clinical data,combined with the characteristic factors in the LASSO regression model,multiple logistic regression analysis was applied to build a prediction model of thrombus clearance rate column line graph,and the accuracy of the prediction model was evaluated using C index,calibration curve and decision curve.Results VTE type was significantly correlated with thrombus clearance rate,and the predictors in the column line plot contained:age,sex,thrombus type,surgical history,tumor history,and smoking history.The model showed great predictive power and high accuracy with a C-index of 0.795 (95%CI:0.682 3-0.905 7).Decision curve analysis showed that prediction of thrombus clearance by column line plot for AngioJet procedure was effective when the threshold probability was in the range of 0.02-0.63.Conclusion In the correlation analysis,VTE type was significantly correlated with thrombus clearance.The results of this study showed that the AngioJet thrombus aspiration procedure was able to achieve a high rate of thrombus clearance in men older than 65 years with a history of tumors,a central thrombus type,no history of surgery,and no history of smoking.

Key words: venous thromboembolism；lower extremity deep vein thrombosis；Angiojet thrombus aspiration；nomogram