ArticleBMC infectious diseases2022
A clinical prediction tool for extended-spectrum β-lactamase-producing Enterobacteriaceae urinary tract infection.
Article in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed, 9 citations in OpenAlex.
- Clinical efficacy of abdominal moxibustion at the Zhongji (CV3) in combination with Yiqi Tonglin Yangyin decoction and antibiotics for treating elderly female patients with complicated urinary tract infection.Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan · 2026Trial
- Observational
- Extended-Spectrum Beta-Lactamase Production and Carbapenem Resistance in Elderly Urinary Tract Infection Patients: A Multicenter Retrospective Study from Turkey.Antibiotics (Basel, Switzerland) · 2025Article
- Effectiveness of selective antibiotics use in ESBL-related UTIs.BMC microbiology · 2024Article
- Urinary tract infections in older adults: associated factors for extended-spectrum beta-lactamase production.Frontiers in microbiology · 2024Article
- Evaluation of the antibacterial activity of Weissella confusa K3 cell-free supernatant against extended-spectrum βeta lactamase (ESBL) producing uropathogenic Escherichia coli U60.Saudi journal of biological sciences · 2023Review
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6 authors at 1 institution in 1 country.
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Abstract
backgroundPrevalence of extended-spectrum beta-lactamase-producing-Enterobacteriaceae (ESBL-E) has risen in patients with urinary tract infections. The objective of this study was to determine explore the risk factors of ESBL-E infection in hospitalized patients and establish a predictive model.
methodsThis retrospective study included all patients with an Enterobacteriaceae-positive urine sample at the first affiliated hospital of Jinan university from January 2018 to December 2019. Antimicrobial susceptibility patterns of ESBL-E were analyzed, and multivariate analysis of related factors was performed. From these, a nomogram was established to predict the possibility of ESBL-E infection. Simultaneously, susceptibility testing of a broad array of carbapenem antibiotics was performed on ESBL-E cultures to explore possible alternative treatment options.
resultsOf the total 874 patients with urinary tract infections (UTIs), 272 (31.1%) were ESBL-E positive. In the predictive analysis, five variables were identified as independent risk factors for ESBL-E infection: male gender (OR = 1.607, 95% CI 1.066-2.416), older age (OR = 4.100, 95% CI 1.678-12.343), a hospital stay in preceding 3 months (OR = 1.872, 95% CI 1.141-3.067), invasive urological procedure (OR = 1.810, 95% CI 1.197-2.729), and antibiotic use within the previous 3 months (OR = 1.833, 95% CI 1.055-3.188). In multivariate analysis, the data set was divided into a training set of 611 patients and a validation set of 263 patients The model developed to predict ESBL-E infection was effective, with the AuROC of 0.650 (95% CI 0.577-0.725). Among the antibiotics tested, several showed very high effectiveness against ESBL-E: amikacin (85.7%), carbapenems (83.8%), tigecycline (97.1%) and polymyxin (98.2%).
conclusionsThe nomogram is useful for estimating a UTI patient's likelihood of infection with ESBL-E. It could improve clinical decision making and enable more efficient empirical treatment. Empirical treatment may be informed by the results of the antibiotic susceptibility testing.
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