Construction and Validation of Risk Prediction Model for Venous Thromboembolism After Glioma Surgery
Objective To analyze the risk factors of postoperative complication of venous thromboembolism(VTE)in glioma pa-tients,and to construct Nomogram model.Methods The clinical data of 401 glioma patients admitted to the Affiliated Hospital of Xuzhou Medical University from September 2018 to April 2023 were collected,and the risk factors of VTE in glioma were explored using univariate analysis and multivariate Logistic regression analysis.After constructing the Nomogram model,the discriminative efficacy of the model was examined using the receiver operating characteristic(ROC)curve,the calibration degree of the model was evaluated by calibration curve,the calibration curve was examined by the Hosmer-Lemeshow goodness-of-fit test,the model was internally validated using the Boot-strap self-sampling method,and the clinical benefit was analyzed by the decision curve analysis(DC A).Results Logistic regression a-nalysis showed that age,body mass index,platelets,leukocytes,D-dimer,and IDH phenotype were independent risk factors for the oc-currence of VTE after glioma surgery;the Nomogram model predicted that the area under the ROC curve for the occurrence of VTE after glioma surgery was 0.898;the calibration curves,C-index,and external validation suggested that the model had a high degree of accura-cy,and the DCA showed that the model had good clinical validity.Conclusion The prediction model constructed based on the risk fac-tors for postoperative VTE in glioma patients in this study was internally and externally validated,showing good diagnostic efficacy and pro-viding a basis for clinical decision-making.
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