Monte Carlo simulation to optimize polymyxin B dosing regimens for the treatment of Gram-negative bacteremia

Polymyxin B demonstrates high efficacy for Gram-negative bacteremia with MIC ≤1 mg/L. However, efficacy diminishes as MIC increases, particularly for <i>P. aeruginosa</i> and <i>K. pneumoniae</i>, where 500,000 IU q12h and 1.25 mg/kg q12h regimens may result in suboptimal outcomes. For CRRT patients with <i>K. pneumoniae</i> bacteremia, therapeutic drug monitoring and dose adjustments are crucial to mitigate treatment failure risks.

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Publication Details

Journal
Frontiers in Cellular and Infection Microbiology
Published
2025-02-26
DOI
https://doi.org/10.3389/fcimb.2025.1533177
Citations
1
Primary Topic
Antibiotic Resistance in Bacteria
Type
article
Field-Weighted Citation Impact
0.59
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article

Monte Carlo simulation to optimize polymyxin B dosing regimens for the treatment of Gram-negative bacteremia

Zheng He, Chengcheng Wang, Yingying Yu
1 citations
Frontiers in Cellular and Infection Microbiology
Antibiotic Resistance in Bacteria
0.59
article

Monte Carlo simulation to optimize polymyxin B dosing regimens for the treatment of Gram-negative bacteremia

Zheng He, Chengcheng Wang, Yingying Yu
article en
1 citations

Abstract

Polymyxin B demonstrates high efficacy for Gram-negative bacteremia with MIC ≤1 mg/L. However, efficacy diminishes as MIC increases, particularly for <i>P. aeruginosa</i> and <i>K. pneumoniae</i>, where 500,000 IU q12h and 1.25 mg/kg q12h regimens may result in suboptimal outcomes. For CRRT patients with <i>K. pneumoniae</i> bacteremia, therapeutic drug monitoring and dose adjustments are crucial to mitigate treatment failure risks.

Frontiers in Cellular and Infection MicrobiologyVol. 15
Shandong University (CN)
Openalex Percentile: Top 39%
Antibiotic Resistance in Bacteria
0.59
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