ArticleFrontiers in cellular and infection microbiology2025
Monte Carlo simulation to optimize polymyxin B dosing regimens for the treatment of Gram-negative bacteremia.
Article in Frontiers in cellular and infection microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Clinician decision-making for polymyxin dosing in critically ill patients with renal impairment: a qualitative study.Scientific reports · 2026Article
- Antimicrobial Susceptibility Profiles ofAntibiotics (Basel, Switzerland) · 2025Article
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Authors and funding
3 authors.
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Abstract
Objective: This study aimed to predict and evaluate the efficacy of various polymyxin B dosing regimens for Gram-negative bacteremia using Monte Carlo simulation, with a specific focus on assessing the efficacy in patients receiving continuous renal replacement therapy (CRRT). The goal was to optimize clinical dosing regimens and guide rational polymyxin B use in practice. Methods: A total of 1,939 Gram-negative bacterial strains were analyzed, collected between April 2019 and December 2021 through the China Bloodstream Gram-negative Pathogens Antimicrobial Resistance and Virulence Surveillance Network (CARVIS-NET). Pharmacokinetic parameters of polymyxin B from existing literature were used to conduct a Monte Carlo simulation based on pharmacokinetic/pharmacodynamic (PK/PD) theory. The probability of target attainment (PTA) and cumulative fraction of response (CFR) were evaluated across various dosing regimens. Results: The main pathogens of Gram-negative bacteremia were Conclusion: Polymyxin B demonstrates high efficacy for Gram-negative bacteremia with MIC ≤1 mg/L. However, efficacy diminishes as MIC increases, particularly for
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