机器人辅助根治性前列腺切除术后静脉血栓栓塞症预测模型的构建与验证

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中图分类号 R737.25 R619+.2 文献标识码 A 文章编号 2096-7721（2025）07-1128-07

AbstractObjective：Toanalyze riskfactorsfor venous thromboembolism（VTE）in patients undergoing Da Vinci robot-assisted radicalprostatectomy （RARP）anddevelopapredictive modelforclinical preventionguidance.Methods：Clinicaldataof patients who underwentRARPattheFirstAfiliated HospitalofAirForceMedicalUniversityfrom May2O22 toDecember2023 were retrospectively analyzed. Patients with postoperative VTE were assigned to the VTE group （n=27 ），andnon-VTE patientsserved as the controlgroup（54）.sicfoaigindatalbatostsultsndsicaldsofptiteltdUa andmultivariatelgisticegressionerepefoedtodentifyidependentVTEriskfactors，andapredictiveodelwasostucted Results：The VTEgroupshowedsignificantlyhigher meanage，BM，postoperativebedriddenduration，proportionof hypertension history，proportion of prior surgery history， and Caprini scores compared to the control group （P<0.05） . Multivariate analysis confirmed age， postoperative bedridden days，prior surgery history，and Caprini score as independent predictors （P<0.01） . The predictive model Logit （P）=0.091×Age+0.773×E Bedriddendays s+l.57l× Prior surgery +1.472× Caprini score-19.998 showed excellent predictive performance. Conclusion：TheVTEriskpredictionmodelestablishedinthisstudysuggests intensifiedmonitoringforpatientswithadvancedage， prolonged postoperative immobilization， priorsurgical history，or elevated Caprini scores to mitigate VTE risk.

Key WordsRobot-asistedSurgery;ProstateCancer;VenousThromboembolism;RiskPredictionModel; PreventionProcedure

达芬奇手术机器人系统由控制台、机械臂和高清成像系统组成[1-2]。（剩余11781字）