Clinical study on predicting postoperative infection risk in elderly patients with acute cholecystitis based on ROC model
Objective:Exploring the diagnostic model based on receiver operating characteristic curve(ROC)to predict the risk factors for postoperative clinical infection in elderly patients with acute cholecystitis.Method:114 elderly patients with acute cholecystitis treated in our hospital from January 2023 to February 2024 were selected as the study subjects.According to the incidence of postoperative infection,the patients were divided into an infection group of 46 cases and a non-infection group of 68 cases.The single factor risk factors for postoperative infection in two groups of patients were analyzed,and the risk factors for postoperative infection in patients were evaluated with multivariate logistic regression analysis.The clinical risk factors for postoperative infection in elderly patients with acute cholecystitis were predicted using ROC curves.Result:The proportions of age≥70 years,cirrhosis,diabetes,gallstone,fluid around gallbladder,white blood cell count>10×109·L-1 in the infected group were higher than those in the uninfected group(P<0.05).According to multiple logistic regression analysis,the above factors were identified as risk factors for postoperative infection(P<0.05).ROC curve analysis showed that age≥70 years,cirrhosis,diabetes,gallstone,fluid around gallbladder,white blood cell count>10×109·L-1 had a high predictive value for patients with postoperative infection risk(AUC>0.70).Conclusion:Age≥70 years old,diabetes,fluid around gallbladder,cirrhosis,white blood cell count>10×109·L-1 gallstone,and other factors may be clinical risk indicators of postoperative infection in elderly patients with acute cholecystitis.
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