脑出血术后麻醉复苏期间下肢深静脉血栓风险预测模型的构建OA

Objective To explore factors influencing lower limb deep vein thrombosis(DVT)in patients after cerebral hemorrhage surgery during anesthesia recovery period and establish a nomogram-based risk prediction model.Methods A total of 120 patients who underwent cerebral hemorrhage surgery at the First Affiliated Hospital of Zhengzhou University from June to December 2024 were selected and divided into DVT group(n=39)and non-DVT group(n=81)based on the occurrence of lower limb DVT during anesthesia recovery period.Clinical data,surgical and laboratory indicators were collected.Multivariate Logistic regression analysis was employed to identify influencing factors,followed by the construction and validation of a nomogram model.Results Multivariate Logistic regression analysis showed that intraoperative norepinephrine use,intraoperative hypotensive duration,preoperative D-dimer(D-D),preoperative platelet count(PLT),and preoperative prothrombin time(PT)were the influencing factors of lower limb DVT in patients after cerebral hemorrhage surgery during anesthesia recovery period.The concordance index of the nomogram model for predicting the risk of lower limb DVT in patients after cerebral hemorrhage surgery during anesthesia recovery period was 0.910(95%CI:0.887 to 0.952).The calibration curve showed good agreement with the ideal curve.The area under the receiver operating characteristic curve(AUC)was 0.898(95%CI:0.840 to 0.956).Decision curve analysis(DCA)indicated that the nomogram provided a high net benefit for predicting lower limb DVT when the threshold probability ranged from 4%to 100%.Conclusion Intraoperative norepinephrine use,intraoperative hypotensive duration,preoperative D-D,PLT,and PT are factors influencing DVT occurrence after cerebral hemorrhage surgery during anesthesia recovery period.The constructed nomogram model exhibits good performance and can serve as an accurate and rapid tool for clinical risk assessment.