In Vitro Dynamic Model Evaluation of Meropenem Alone and in Combination with Avibactam Against Carbapenemase-Producing Klebsiella pneumoniae

体外动态模型评价美罗培南单药及联合阿维巴坦治疗产碳青霉烯酶肺炎克雷伯菌的疗效

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Abstract

Background: A potential strategy to maintain the efficacy of carbapenems against carbapenemase-producing Klebsiella pneumoniae (CPKP) is their combination with carbapenemase inhibitors. To address these issues, the effectiveness of a novel combination of meropenem with avibactam against CPKP was studied. Additionally, the applicability of a pharmacokinetically-based approach to antibiotic/inhibitor minimum inhibitory concentration (MIC) determinations to better predict efficacy was examined. Methods: CPKP strains were exposed to meropenem alone or in combination with avibactam in an in vitro hollow-fiber infection model. Treatment effects were correlated with simulated antibiotic and antibiotic/inhibitor combination ratios of the area under the concentration-time curve (AUC) to the MIC (AUC/MIC). All MICs were determined at standard and at high inocula; combination MICs were determined using the conventional approach with fixed avibactam concentration or using the pharmacokinetic (PK)-based approach with a fixed meropenem-to-avibactam concentration ratio, equal to the respective drug therapeutic AUC ratios. Results: Meropenem alone was not effective even against a "susceptible" CPKP strain. The addition of avibactam significantly improved both meropenem MICs and its effectiveness. The effects of meropenem alone and in combination with avibactam (merged data) correlated well with AUC/MIC ratios only when MICs were determined at high inocula and using the PK-based approach (r(2) 0.97); the correlation was worse with the conventional approach (r(2) 0.73). Conclusions: The effectiveness of meropenem/avibactam against CPKP is promising. A single "effect-AUC/MIC" relationship useful for predicting meropenem efficacy (alone or in combination with avibactam) was obtained using MICs at high inocula and combination MICs determined using a PK-based approach.

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