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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
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摘要 目的:探索基于二元Logistics回归模型分析机器人辅助子宫内膜癌患者术后并发症的危险因素。方法:回顾性分析2021年5月—2022年5月在空军军医大学第一附属医院收治的96例子宫内膜癌患者的临床资料,根据手术方式不同将所有患者分为常规组(n=47)和机器人组(n=49),并比较两组患者并发症发生率。同时,经二元Logistic回归模型分析影响术后并发症的危险因素。结果:机器人组术后并发症发生率低于常规组(6.12%Vs 31.91%,P<0.05)。经二元Logistic回归模型分析,年龄>60岁、BMI>24 kg/m^(2)、术中出血量>200 ml、有贫血史、常规手术是影响患者术后出现并发症的独立危险因素(P<0.05)。利用Bootstrap法内验证,预测模型AUC为0.818,特异性71.8%,灵敏性77.8%,95%CI 0.720~0.917。结论:影响机器人辅助子宫内膜癌术后并发症的主要因素为贫血史、手术时间、BMI、年龄、手术方式,针对合并此类危险因素的患者需采用相应的干预措施,从而降低患者术后并发症,改善预后。 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/m^(2),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.
作者 郭倩 徐佳 綦春蕾 王运萍 GUO Qian;XU Jia;QI Chunlei;WANG Yunping(Department of Obstetrics and Gynecology,the First Affiliated Hospital of Air Force Medical University,Xi’an 710032,China)
出处 《机器人外科学杂志(中英文)》 2024年第3期432-438,共7页 Chinese Journal of Robotic Surgery
基金 陕西省重点研发计划项目(2019SF-165) 陕西省卫生健康科研基金项目(2018D068)。
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 Binary Logistic Regression Model Robot-assisted Surgery Endometrial Cancer Complications Risk Factor
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