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Publication: Journal of Antimicrobial Chemotherapy

Abstract

Therapeutic drug monitoring of polymyxin B in critically ill patients would benefit from a simplified sampling approach, but characterizing its population pharmacokinetics in Chinese patients was a necessary first step. This study analyzed 212 samples from 30 critically ill patients to build a two-compartment population pharmacokinetic model with Phoenix NLME, then developed a limited sampling strategy using Bayesian estimation and regression methods. Continuous renal replacement therapy and body weight significantly affected polymyxin B clearance, and a two-sample strategy (plasma collected 0.5 and 8 hours after infusion) was identified as sufficient for therapeutic drug monitoring. This limited sampling approach could facilitate more practical, individualized polymyxin B dosing in critically ill patients.

Author(s): Pi MY, Cai CJ, Zuo LY, Zheng JT, Zhang ML, Lin XB, Chen X, Zhong GP, Xia YZ

Published: March 2, 2023

Phoenix NLME: A Simpler Path to Therapeutic Monitoring

Phoenix NLME’s Bayesian estimation identified a practical two-sample strategy in this study, simplifying therapeutic drug monitoring for a narrow-margin antibiotic. As part of a Phoenix platform relied on by more than 11,000 users worldwide, Phoenix NLME can be paired with Modeling Assistant, an AI copilot for model building and PML authoring.

Learn more about Phoenix NLME