Objective: To analyze the risk factors of short-term recurrence of acute pulmonary embolism(APE) after treatment, and to construct a nomogram prediction model. Methods: APE patients admitted to our hospital from January 2019 to June 2021 were selected and grouped according to whether they had recurrence within 12 months, 46 cases in the case group had short-term recurrence of APE after treatment, and 359 cases in the control group had no short-term recurrence of APE after treatment. Logistic regression was used to analyze the risk factors affecting short-term recurrence of APE after treatment, and a nomogram model for predicting short-term recurrence of APE after treatment was constructed, and then the receiver operating characteristic(ROC) and calibration curve were used to verify the model. Results: In the case group and the control group, the body mass index, alcohol consumption, high-density lipoprotein(HDL), brain natriuretic peptide(BNP), troponin, severe pulmonary disease, long-term lying in bed, malignant tumor, immune disease, idiopathic pulmonary embolism(iPE), right ventricular insufficiency, hypovolemic shock, and D-dimer persistent abnormality were obviously different(P<0.05). Logistic regression analysis showed that: malignant tumor(95%CI: 1.638-9.209, P=0.002), immune disease(95%CI: 1.403-9.749, P=0.008), right ventricular insufficiency(95%CI: 1.466-5.429, P=0.002) and D-dimer persistent abnormality(95%CI: 1.152-7.022, P=0.023) were independent risk factors for short-term recurrence of APE after treatment(P<0.05). The area under the ROC curve was 0.728(95%CI: 0.648-0.809); the slope of the calibration curve was close to 1, the H-L goodness of fit testχ2=2.239, P=0.327. Conclusion: The nomogram prediction model based on four independent risk factors, including malignant tumor, immune disease, right ventricular insufficiency and D-dimer persistent abnormality, can effectively predict short-term recurrence of APE after treatment. |
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