Risk factors for postoperative abdominal infection in gastric cancer patients and establishment of prediction model
OBJECTIVE To analyze the risk factors for postoperative abdominal infection in the gastric cancer pa-tients and establish the prediction model so as to provide basis for clinical prevention of postoperative infection.METHODS Totally 481 gastric cancer patients who underwent surgical procedures in Qingdao Municipal Hospital from Sep 2018 to Dec 2022 were enrolled in the study and were divided into the infection group with 43 cases and the non-infection group with 438 cases according to the status of postoperative abdominal infection.The clinical data were retrospectively collected from the patients.Univariate analysis and multivariate logistic regression analy-sis were performed for the risk factors for the postoperative abdominal infection,the prediction model was estab-lished.The value of the model in prediction of the postoperative abdominal infection was analyzed by receiver op-erating characteristic(ROC)curves.RESULTS The result of multivariate logistic analysis showed that tumor size no less than 4 cm,operation duration no less than 240 min,hypoproteinemia and lymphovascular invasion were the risk factors for the postoperative abdominal infection in the gastric cancer patients(P＜0.05).The prediction model was established based on the above factors:Logit(P)=-11.432+0.608 × tumor size≥4 cm+0.811 × operation duration no less than 240 min+0.678 × hypoproteinemia+0.655 × lymphovascular invasion;the pa-tients with postoperative abdominal infection were marked as positive,and the patients without postoperative ab-dominal infection were marked as negative,ROC curves were drawn;when Logit(P)was greater than 12.60,the area under curve(AUC)was 0.883,with the sensitivity 88.37％,the specificity 82.42％.CONCLUSION There are a variety of risk factors for the postoperative abdominal infection in the gastric cancer patients.The prediction model has favorable value in prediction of the postoperative abdominal infection,it can screen out the high-risk population,and the effective intervention measures can be carried out.
Gastric cancerAbdominal infectionRisk factorModelPredictive value
NETL
NSTL
万方数据
维普
