机器人外科学杂志（中英文）2024，Vol.5Issue(3)：432-438,7.DOI:10.12180/j.issn.2096-7721.2024.03.020
基于二元Logistic回归模型分析机器人辅助子宫内膜癌术后并发症危险因素
Analysis of risk factors for postoperative complications in robot-assisted surgery for endometrial cancer based on a binary Logistic regression model
摘要
Abstract
Objective:To explore the risk factors for postoperative complications in patients underwent robot-assisted surgery for endometrial cancer based on binary Logistics regression model.Methods:Clinical data of 96 patients with endometrial cancer who were treated in the First Affiliated Hospital of Air Force Military Medical University from May 2021 to May 2022 were retrospectively analyzed.All patients were divided into the conventional group(n=47)and robotic group(n=49)according to different surgical methods,and the complication rate of the two groups was compared.Meanwhile,the risk factors of postoperative complications were analyzed by binary Logistic regression model.Results:The incidence of postoperative complications in the robotic group was lower than that in the conventional group(6.12%Vs 31.91%,P<0.05).The binary Logistic regression analysis results showed that age>60 years old,BMI>24 kg/m2,intraoperative blood loss>200 ml,history of anemia,and conventional operation were independent risk factors for postoperative complications(P<0.05).Using the Bootstrap method for internal validation,the AUC of the predicted model was 0.818,with specificity of 71.8%,sensitivity of 77.8%,and 95%CI of 0.720-0.917.Conclusion:The main factors affecting postoperative complications of robot-assisted surgery for endometrial cancer are anemia history,operative time,BMI,age,and operation approach.Therefore,appropriate intervention measures should be taken to reduce postoperative complications and improve prognosis of patients.关键词
二元Logistics回归模型/机器人辅助手术/子宫内膜癌/并发症/危险因素Key words
Binary Logistic Regression Model/Robot-assisted Surgery/Endometrial Cancer/Complications/Risk Factor分类
医药卫生引用本文复制引用
郭倩,徐佳,綦春蕾,王运萍..基于二元Logistic回归模型分析机器人辅助子宫内膜癌术后并发症危险因素[J].机器人外科学杂志（中英文）,2024,5(3):432-438,7.基金项目
陕西省重点研发计划项目(2019SF-165) （2019SF-165）
陕西省卫生健康科研基金项目(2018D068) Key R&D Plan Project of Shaanxi Province(2019SF-165) （2018D068）
Health Research Foundation of Shaanxi Province(2018D068) （2018D068）
