Evidence Hub

Predictive Factors for Upper Urinary Tract Stones Combined with Carbapenem-Resistant Enterobacteriaceae Associated Urinary Tract Infections

Xu-Ming Zhang, Chao-Yue Ji, Zhi-Chao Chi, Wei-Guo Hu

Infection and Drug Resistance, 2026

124 participants

Abstract

Introduction This study investigates predictive factors for carbapenem-resistant Enterobacteriaceae (CRE) bacteriuria in patients with upper urinary tract stones, a population particularly vulnerable to complicated urinary tract infections amidst growing antimicrobial resistance. Methods A cross-sectional study was conducted on 2029 inpatients with upper urinary tract stones. Patients with CRE bacteriuria (n=31) were compared with a matched non-CRE group (n=124). Clinical data, stone characteristics, and admission laboratory parameters were analyzed. Univariate and multivariate logistic regression were employed to identify independent predictive factors and establish a diagnostic model. Results Escherichia coli and Klebsiella pneumoniae were the predominant CRE pathogens. Multivariate analysis identified three independent predictive factors for CRE bacteriuria: a history of fever within the past 3 months (OR=3.24, p=0.03), presence of an indwelling ureteral stent at admission (OR=12.97, p<0.01), and a positive urinary nitrite test (OR=2.92, p=0.04). A diagnostic model incorporating these factors demonstrated good predictive accuracy, with an area under the receiver operating characteristic curve of 0.83. Conclusion A history of recent fever, indwelling ureteral stents, and positive urinary nitrite are significant independent predictive factors for CRE-associated urinary tract infections in patients with upper urinary tract stones. The developed diagnostic model demonstrates…

How strong is the evidence?

Evidence Hub reads this as a cross-sectional, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause. Reported size: 124 participants or records.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free