摘要
目的建立可切除食管癌患者根治性切除术后发生吻合口瘘风险的列线图预测模型,并进行验证。方法采用回顾性病例对照研究的方法,纳入2015年8月至2020年8月入青海大学附属医院确诊c T_(1~3)/N_(0~1)期食管癌并接受根治性切除术患者588例为建模组,根据食管癌切除术并发症共识小组(ECCG)提出的吻合口瘘定义诊断吻合口瘘52例和无吻合口瘘536例。分别采用Lasso回归和多因素Logistic回归分析筛选危险因素,并由R软件构建列线图预测模型。结果建模组中吻合口瘘患者吸烟指数≥400、美国麻醉师协会(ASA)分级Ⅲ级比无吻合口瘘患者增加,肿瘤位置上部和中部增多,手术时间延长,微创术式增多,线型闭合器和手工吻合增多,颈部吻合增多,空肠造口术和鼻肠道吻合增多,预后营养指数(PNI)下降,差异有统计学意义(P<0.05)。Lasso回归筛选出5个最具差异性的指标,经多因素Logistic回归分析显示,吸烟指数≥400(OR=1.659,95%CI=1.210~1.969,P=0.006)、ASA分级Ⅲ级(OR=1.968,95%CI=1.524~2.326,P=0.002)、手工吻合(OR=3.002,95%CI=2.526~3.425,P<0.001)、颈部吻合(OR=2.201,95%CI=1.625~2.458,P=0.001)、PNI<50(OR=3.652,95%CI=3.120~3.968,P<0.001)是吻合口瘘发生的独立预测因素。受试者操作特征(ROC)曲线显示,模型的曲线下面积(AUC)为0.899,明显高于单一危险因素的AUC值(均P<0.001)。校正曲线显示预测结果与实际结果之间具有良好的一致性(P=0.663)。结论可切除食管癌患者根治性切除术后吻合口瘘的发生与多个临床因素密切相关,构建定量列线图模型有较好的预测效能,便于指导临床早期识别高危患者并进行针对性干预,有较好的临床应用价值。
Objective To establish a nomogram predictive moodel for anastomotic leakage in patients with rsectable esophageal cancer after radical resection,and venify it.Method A method of retrospective case-control study was conducted,a total of 588 patients with cT_(1-3)/N_(0-1) esophageal cancer diagnosis undergoing radical resection into ffiliated Hospital of Qinghai University from August 2015 to August 2020 were included a the model group.In which 52 patients of anastomotic leakage and other 536 patients of non-anastomotic leakage were diagnosed according to the definition of anastomotic leakage proposed by the esophagectomy complicationg consensus group(ECCG).Lasso regression and multivariate Logistic regression analysis were used to screen risk factors,and R software Was used to construct a nonogram model.Result In the model group,the smoking index≥400 and ASA classification 11 of patients with anastomotic leakage were higher than those without anastomotie leakage,tumor location of the upper and middle part was more,surgery time was longer,the minimally inwasive method was more,the linear stapled and Hand-sewn were more,the neck anastomsis was more,the jeunostomy and nasal.-intestinal canal were more,and prognostic nutritional index(PNI)was lower,too(P<0.05).Laso regression screening identified the 5 most differential indicators,mulivariate Logistie regression analysis showed that smoking index≥400(OR=1.659,95%CI=1.210-1.969,P=0.006),ASA gradeⅢ(OR=1.968,95%CI=1.524-2.326,P=0.002),Hand-sewn anastomsis(OR=3.002,95%CI=2.526-3.425,P<0.001),neck anastomosis(OR=2.201,95%CI=1.625-2.458,P=0.001),PNI<50(OR=3.652,95%CI=3.120-3.968,P<0.001)were the independent predictor of anastomotic leakage.The nomogram predictive model Was constructed by R software.Receiver operaing curve(ROC)showed that the area under the curve(AUC)was 0.899,which was signifcantly higher than the AUC value of every single risk factor(allP<0.001).The corrective curve showed that the predictive result was in good agreement with actual result(P=0.663).Concusion The ocurence of anastomotie leakage in patients with resectable esophageal cancer after radical reection is closely related to multiple elinical factors.The construction of a quantitative nomogram model has good predictive fficiency,which is convenient to guide the early identification of high-risk patients and targeted intervention,and has good clinical application value.
作者
白成云
李忠诚
李文军
刘洋
Bai Chengyun;Li Zhongecheng;Li Wenjun;Liu Yang(Department of Thoracic Surgery,Affiliated Hopital of Qinghai University,Xining 810001,Qinghai,China)
出处
《肿瘤代谢与营养电子杂志》
2023年第3期401-407,共7页
Electronic Journal of Metabolism and Nutrition of Cancer
基金
青海省2019年卫生健康科研课题(2019-wjzdx-60)。
关键词
食管癌
吻合口瘘
列线图模型
受试者操作特征曲线
Esophageal cancer
Anastomotic leakage
Nomogram model
Receiver operation characteristics curve