1. Prediction of tissue exposures of polymyxin-B, amikacin and sulbactam using physiologically-based pharmacokinetic modeling
- Author
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Mengyuan Wu, Kun Feng, Xiao Wu, Chang Liu, Shixing Zhu, Frederico S. Martins, Mingming Yu, Zhihua Lv, Meixing Yan, and Sherwin K. B. Sy
- Subjects
antibiotic combination ,tissue exposure ,physiologically-based pharmacokinetic ,pharmacodynamic index ,multidrug resistance (MDR) ,Microbiology ,QR1-502 - Abstract
BackgroundThe combination antimicrobial therapy consisting of amikacin, polymyxin-B, and sulbactam demonstrated in vitro synergy against multi-drug resistant Acinetobacter baumannii.ObjectivesThe objectives were to predict drug disposition and extrapolate their efficacy in the blood, lung, heart, muscle and skin tissues using a physiologically-based pharmacokinetic (PBPK) modeling approach and to evaluate achievement of target pharmacodynamic (PD) indices against A. baumannii.MethodsA PBPK model was initially developed for amikacin, polymyxin-B, and sulbactam in adult subjects, and then scaled to pediatrics, accounting for both renal and non-renal clearances. The simulated plasma and tissue drug exposures were compared to the observed data from humans and rats. Efficacy was inferred using joint probability of target attainment of target PD indices.ResultsThe simulated plasma drug exposures in adults and pediatrics were within the 0.5 to 2 boundary of the mean fold error for the ratio between simulated and observed means. Simulated drug exposures in blood, skin, lung, and heart were consistent with reported penetration ratio between tissue and plasma drug exposure. In a virtual pediatric population from 2 to
- Published
- 2024
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