Publications by authors named "K T Mulroney"

Background: The annual mortality burden of antimicrobial resistant infections exceeds 1.27 million/year. With serious infections, every hour without effective antimicrobial therapy results in a 6.

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There is an urgent need to develop simple and fast antimicrobial susceptibility tests (ASTs) that allow informed prescribing of antibiotics. Here, we describe a label-free AST that can deliver results within an hour, using an actively dividing culture as starting material. The bacteria are incubated in the presence of an antibiotic for 30 min, and then approximately 10 cells are analysed one-by-one with microfluidic impedance cytometry for 2-3 min.

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Antimicrobial susceptibility is slow to determine, taking several days to fully impact treatment. This proof-of-concept study assessed the feasibility of using machine-learning techniques for analysis of data produced by the flow cytometer-assisted antimicrobial susceptibility test (FAST) method we developed. We used machine learning to assess the effect of antimicrobial agents on bacteria, comparing FAST results with broth microdilution (BMD) antimicrobial susceptibility tests (ASTs).

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Peritoneal dialysis (PD) peritonitis cases require rapid clinical interventions to ensure the best possible patient outcomes. Culture-dependent microbiology tools are slow and cannot provide clinicians with evidence to guide antimicrobial prescription practices in an appropriate time frame. Genotypic methods have met with limited success for analyzing continuous ambulatory PD effluent, with most centers still relying on culture-dependent microbiology.

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