Prediction of ESBL-producing E coli for suspected urinary tract infection. Issue 1 (February 2023)

• Record Type: Journal Article
• Authors: Higuchi, Hiroshi; Nakamura, Tsukasa; Mashino, Junji; Imada, Toshihiro; Morimoto, Takeshi
• Is Part Of: Urologia journal. Volume 90:Issue 1(2023)
• Page Start: 151
• Page End: 156
• Publication Date: 2023-02
• Subjects: ESBL-producing E. coli -- clinical prediction rule -- cohort -- urinary tract infection; Urology -- Periodicals; 616.6005
• DOI: 10.1177/03915603221103438
• Languages: English
• ISSNs: 0391-5603

Abstract

Aim: The widespread existence of extended-spectrum β-lactamase (ESBL) producing Escherichia coli ( E. coli ) has become a critical threat in developed countries. Prediction rule for ESBL producing E. coli is relevant to see patients with suspected urinary tract infection. Materials and methods: We collected clinical and laboratory data and constructed multivariate logistic regression models to develop a clinical prediction rule in the derivation cohort with 1185 patients with urine cultures and validated the rule in the validation cohort with 516 patients. Results: ESBL-producing E. coli was found in 185 patients (16%) in the derivation cohort. When assigning 14 points for being female (odds ratio (OR): 4.2), six points for CRP >5 mg/dl (OR: 1.87), and four points for a history of urinary tract infection (OR: 1.52), the area under the curve (AUC) had 0.67 (95% confidence interval (CI): 0.63–0.70) in the derivation cohort and 0.64 (95% CI: 0.59–0.69] in the validation cohort. Conclusions: The developed prediction rule had moderate accuracy to predict ESBL-producing E. coli in patients with suspected urinary tract infection.