摘要
Abstract
Objective To establish the early warning model of postoperative abdominal infection in patients with colorec-tal cancer based on SMOTE algorithm.Methods 328 patients with colorectal cancer were divided into abdominal infection group(50 cases)and non-abdominal infection group(278 cases)according to whether postoperative abdominal infection oc-curred.Data of the subjects were collected and analyzed,and the influencing factors of postoperative abdominal infection in patients with colorectal cancer were screened by univariate and Logistic regression analysis.Then the original data set of in-fluencing factors was rebuilt by SMOTE algorithm to get the risk early warning model,and its prediction efficiency was veri-fied via analyzing the area under the receiver operator characteristic curve(AUC).Results Of 328 patients with colorectal cancer,50 cases developed abdominal infection after operation,with an incidence of 15.24%.Diabetes mellitus(X1),inci-sion length(X2),operative time(X3),bleeding(X4),combined organ resection(X5),postoperative anastomotic fistula(X6),and duration of postoperative drain retention(X7)were risk factors for postoperative development of abdominal infection in colorectal cancer patients(P<0.05).Get the original early warning model P1=1/[1+e-(1.190X1+0.737X2+0.905X3+0.941X4+1.028X5+1.047X6+0.929X7-5.009)]and the SMOTE-based early warning model P2=1/[1+e-(1.251X1+0.788X2+0.915X3+0.972X4+1.109X5+1.276X6+0.958X7-6.152)].The AUC of the original early warning model P1 was 0.814(95%CI:0.765-0.826),lower than that of SMOTE-based early warning model P2,which was 0.833(95%CI:0.792-0.854).Conclusion The early warning model based on the SMOTE algorithm has a higher AUC than the original prediction model,with a better prediction performance.关键词
结直肠癌患者/腹腔感染/预警模型/SMOTE算法/术后Key words
Colorectal cancer patients/Abdominal infection/Early warning model/SMOTE algorithm/Postoperative分类
医药卫生
