Author:
Burg Larry,Crewe Gretel,DiMeo James,Guo Xin,Li Carmen G.,Mayol Melissa,Tempesta Andrew,Lauzier William,Markham Rachelle,Crissy Katarzyna,Barry Colleen,Walsh Bruce,Kirby James E.,Straus Don
Abstract
AbstractImplementing effective antimicrobial therapy close to the onset of infection lowers morbidity and mortality and attenuates the spread of antimicrobial resistance. Current antimicrobial susceptibility testing (AST) methods, however, require several days to determine optimal therapies. We present technology and an automated platform that identify (ID) Urinary Tract Infection pathogens in 45 min and provide phenotypic AST results in less than 5 h from urine specimens without colony isolation. The ID and AST tests count cells fluorescently labeled with specific rRNA probes using non-magnified digital imaging. The ID test detected five pathogens at ≤ 7,000 CFU/mL and had a linear range of ~ 4 orders of magnitude. For contrived specimens, AST tests gave 93.1% categorical agreement with 1.3% Very Major Errors (VME), 0.3% Major Errors (ME), and 6.3% minor Errors (mE) compared to the broth microdilution (BMD) reference method. For clinical specimens, the ID test had 98.6% agreement and the AST test had 92.3% categorical agreement with 4.2% mE, 3.4% ME and 4.0% VME compared to BMD. Data presented demonstrates that direct-from-specimen AST tests can accurately determine antimicrobial susceptibility/resistance for each pathogen in a specimen containing two pathogens. The method is robust to urine matrix effects and off-target commensal and contaminating bacteria.
Funder
U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases
U.S. Department of Health & Human Services | Biomedical Advanced Research and Development Authority
Publisher
Springer Science and Business Media LLC
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