Construction of a risk prediction model for postoperative double J tubule-associated urinary tract infection in patients with upper urinary tract stones
YANG Lan
LI Xianhui
XING Yeying
TIAN Hongyan
YUAN Zixuan
TAN Xiujuan
LIU Juan
Abstract：Objective:To explore the risk factors of postoperative double J tubule-associated urinary tract infection in patients with upper urinary tract stones,and to construct the risk prediction model of the Nomogram.Methods:A total of 216 patients with upper urinary tract stones and double J tube indwelling admitted to a third grade A general hospital from July 2020 to June 2022 were retrospectively collected.The patients were divided into infected group and non-infected group according to whether double-J-tubule-associated urinary tract infection occurred.The risk factors of postoperative double-J-tubule-associated urinary tract infection in patients with upper urinary tract stones were analyzed by univariate analysis and Logistic regression,and the risk prediction model of the Nomogram was constructed and the practical effectiveness of the model was evaluated.Results:There were 29(13.43％)patients with upper urinary tract stones complicated by double J tubule-associated urinary tract infection after operation.Logistic regression analysis showed that diabetes mellitus,neutrophil to lymphocyte ratio(NLR)and the degree of hydronephrosis were independent risk factors for postoperative double J tubule-associated urinary tract infection in patients with upper urinary tract stones.The internal verification results of the Nomogram risk prediction model showed that the Hosmer-Lemeshow test x2=6.981,P=0.639,and the area under the ROC curve was 0.853[95％CI(0.774,0.934)].Conclusions:The constructed Nomogram risk prediction model has a good early warning effect,which provides a basis for medical staff to identify the high-risk population of double J tubule-associated urinary tract infection after upper urinary tract stones operation,and take effective preventive measures in time to reduce the incidence of infection.
Keywords：upper urinary tract stonesdouble J tubeurinary tract infectionNomogramprediction modelneutrophil to lymphocyte ratio
Publication Date：2024-04-30
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 1393-1397 )