Literature DB >> 33166758

MIC profiling of ceftazidime/avibactam against two carbapenemase-producing Klebsiella pneumoniae isolates.

Andrei Zidaru1, Brianna M Eales2, Weiqun Wang2, Paul R Merlau2, Todd M Lasco3, Amelia K Sofjan2, Vincent H Tam4.   

Abstract

OBJECTIVES: The aim of this study was to correlate the results of a modified susceptibility testing method with outcomes of ceftazidime/avibactam (CAZ/AVI) therapy.
METHODS: Two bloodstream K. pneumoniae isolates (CAZ/AVI-susceptible) from an abdominal source were recovered from two unrelated patients. Both patients were treated with CAZ/AVI but had discordant outcomes: KP118 (eradication within 24 h) and KP286 (persistent bacteraemia for over 30 days). Carbapenemase production in the two isolates was confirmed by Carba NP test. The CAZ minimum inhibitory concentration (MIC) was determined with escalating AVI concentrations (0-16 mg/L). The concentration-response was characterised by the sigmoid inhibitory maximum effect model. The best-fit parameter values were used to predict %T > MICi associated with CAZ/AVI exposures expected in peritoneal fluid after standard dosing (2.5 g every 8 h). These CAZ/AVI exposures were simulated in a hollow-fibre infection model (HFIM), and the bacterial responses were correlated with observed clinical outcomes.
RESULTS: The AVI-dependent reduction in CAZ MIC was well characterised in both bacterial isolates (r2 ≥ 0.98). In the HFIM, sustained suppression of KP118 (T > MICi = 100%) was observed over 5 days, but not with KP286 (T > MICi < 100%). These observations are consistent with the clinical course of the patients.
CONCLUSIONS: The discordant patient outcomes could be potentially explained by MIC profiling of CAZ/AVI. This method appears to be more robust than conventional susceptibility testing in predicting positive clinical outcome of CAZ/AVI therapy, and the clinical utility of this approach should be further investigated.
Copyright © 2020 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Pharmacodynamics; Pharmacokinetics; β-lactamase; β-lactamase inhibitor

Mesh:

Substances:

Year:  2020        PMID: 33166758      PMCID: PMC7770049          DOI: 10.1016/j.jgar.2020.10.014

Source DB:  PubMed          Journal:  J Glob Antimicrob Resist        ISSN: 2213-7165            Impact factor:   4.035


  4 in total

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4.  Re-estimating annual deaths due to multidrug-resistant organism infections.

Authors:  Jason P Burnham; Margaret A Olsen; Marin H Kollef
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  4 in total

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