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A Dual Enzyme-Based Biochemical Test Rapidly Detects Third-Generation Cephalosporin-Resistant CTX-M-Producing Uropathogens in Clinical Urine Samples

Authors :
Bradley W. Frazee
Danka-Florence Petrovic
Nicole Jackson
Lee W. Riley
Nicole J. Tarlton
Niren Murthy
Aubrianne K. Milton
Clarissa A. Borges
Tara R. deBoer
Emily M Pham
Source :
Microb Drug Resist
Publication Year :
2020

Abstract

Extended-spectrum β-lactamase (ESBL)-producing Gram-negative bacteria (GNB) are increasingly identified as the cause of both community and healthcare-associated urinary tract infections (UTIs), with CTX-Ms being the most common ESBLs identified. CTX-M-producing GNB are resistant to most β-lactam antibiotics and are frequently multidrug-resistant, which limits treatment options. Rapid diagnostic tests that can detect ESBL-producing GNB, particularly CTX-M producers, in the urine of patients with UTIs are needed. Results from such a test could direct the selection of appropriate antimicrobial therapy at the point-of-care (POC). In this study, we show that a chromogenic, dual enzyme-mediated amplification system (termed DETECT [dual-enzyme trigger-enabled cascade technology]) can identify CTX-M-producing GNB from unprocessed urine samples in 30 minutes. We first tested DETECT against a diverse set of recombinant β-lactamases and β-lactamase-producing clinical isolates to elucidate its selectivity. We then tested DETECT with 472 prospectively collected clinical urine samples submitted for urine culture to a hospital clinical microbiology laboratory. Of these, 118 (25%) were consistent with UTI, 13 (11%) of which contained ESBL-producing GNB. We compared DETECT results in urine against a standard phenotypic method to detect ESBLs, and polymerase chain reaction and sequencing for CTX-M genes. DETECT demonstrated 90.9% sensitivity and 97.6% specificity (AUC, 0.937; 95% confidence interval, 0.822-1.000), correctly identifying 10 of 11 urine samples containing a clinically significant concentration of CTX-M-producing GNB (including Escherichia coli, Klebsiella pneumoniae, and Proteus mirabilis). Our results demonstrate the clinical potential of DETECT to deliver diagnostic information at the POC, which could improve initial antibiotic selection.

Details

ISSN :
19318448
Volume :
27
Issue :
4
Database :
OpenAIRE
Journal :
Microbial drug resistance (Larchmont, N.Y.)
Accession number :
edsair.doi.dedup.....5e3d429867301ccd58e0d232925a9ff2