机器人外科学杂志（中英文）2025，Vol.6Issue(2)：229-234,6.DOI:10.12180/j.issn.2096-7721.2025.02.007
机器人辅助骨科手术后深静脉血栓形成的影响因素及风险预警管理研究
Influencing factors and risk warning management on DVT formation after robot-assisted orthopedic surgery
摘要
Abstract
Objective:To analyze the influencing factors of deep vein thrombosis(DVT)formation in pelvic fracture patients who underwent TiRobot-assisted surgery and explore the risk warning management strategies.Methods:130 pelvic fracture patients who underwent TiRobot-assisted surgery in Beijing Jishuitan Hospital of Capital Medical University from January 2023 to December 2023 were selected and divided into the occurrence group(n=17)and the non-occurrence group(n=113)according to whether the patients had DVT within 2 months after surgery.The difference of relevant indicators between the two groups of patients were compared,univariate and multivariate logistic regression analyses were performed to screen the influencing factors of postoperative DVT formation,then the risk prediction model was conducted to analyze the predictive value of the model for postoperative DVT,and targeted management strategies were proposed.Results:Compared with the non-occurrence group,the occurrence group had a longer operative time,higher proportion of general anesthesia and preoperative bed time≥3 d,and a lower proportion of preoperative anticoagulation prevention(P＜0.05).Multivariate logistic regression analysis indicated that general anesthesia,long preoperative bed time,and long operative time would increase the risk of postoperative DVT(P＜0.05).A postoperative DVT formation risk prediction nomogram model was established,and the area under the ROC curve for postoperative DVT formation was assessed as 0.934,with the specificity of 0.867,sensitivity of 0.941,and cut-off value of 0.137(P＜0.05).The internal validation analysis revealed that the model had good stability and a positive net return.Conclusion:General anesthesia,long preoperative bed time,and long operative time could increase the risk of DVT in pelvic fracture patients after TiRobot-assisted surgery.The risk warning model based on the above factors has good evaluation efficacy and can be used for clinical reference.关键词
骨盆骨折/深静脉血栓/机器人辅助手术/护理干预Key words
Pelvic Fracture/Deep Venous Thrombosis/Robot-assisted Surgery/Nursing Interventions分类
临床医学引用本文复制引用
张玮楠,田奡,彭亚静,贾利利..机器人辅助骨科手术后深静脉血栓形成的影响因素及风险预警管理研究[J].机器人外科学杂志（中英文）,2025,6(2):229-234,6.基金项目
北京市科委首都临床特色应用研究项目(Z171100001017135) Capital Clinical Characteristic Applied Research Project of Beijing Municipal Committee of Science and Technology(Z171100001017135) （Z171100001017135）
