Establishment of Etiology and Risk Prediction Model for Postoperative Urinary Tract Infection in Patients with Urinary Calculi
Objective:To investigate the etiological characteristics and risk factors of postoperative urinary tract infection(UTI)in patients with urinary calculi,and establish a prediction model.Methods:156 patients with urinary calculi treated in Guangzhou First People's hospital from Jan 2020 to Aug 2024 were selected and divided into infected group(n=42)and uninfected group(n=114)according to whether UTI occurred after surgery.Multivariate logistic regression analysis was conducted to analyze the influencing factors of postoperative UTI in patients with urinary calculi.A UTI prediction model was established,and receiver operating characteristic ROC)curves were drawn to evaluate the effect prediction model.Results:In 42 patients with UTI after operation,54 kinds of pathogenic bacteria were detected,mainly Escherichia coli,Klebsiella pneumoniae,Enterococcus faecalis,Staphylococcus aureus and Acinetobacter baui.Multivariate Logistic regression method showed that age≥60 years old,diabetes mellitus,stone diameter and operation time were independent risk factors for postoperative UTI(P<0.05).The independent risk factors of UTI after urinary calculi operation were selected by multivariate Logistic regression analysis to construct a model,and the constructed model was internally verified by ROC curve.The area under the curve was 0.850,indicating that the model had good predictive value.Conclusion:Gram-negative bacteria are the main risk factors for postoperative UTI in patients with urinary calculi,and age≥60 years old,diabetes mellitus,stone diameter and operation time are independent risk factors for postoperative UTI.The prediction model based on the above factors can guide the risk prediction of postoperative UTI in patients with urinary calculi.