期刊
ANNALS OF TRANSLATIONAL MEDICINE
卷 10, 期 4, 页码 -出版社
AME PUBL CO
DOI: 10.21037/atm-22-236
关键词
Polymyxin B (PMB); population pharmacokinetics (PPK); creatinine clearance (CrCL); covariates
资金
- Hospital Pharmacy Special Research Grant of Zhejiang Pharmaceutical Association [2021ZYY10]
This review comprehensively summarizes the characteristics of population pharmacokinetic models of polymyxin B (PMB) and identifies creatinine clearance and body weight as the most common covariates. However, the external validation of some models showed poor correlation between actual and predicted values, highlighting the need for further research.
Background: Polymyxin B (PMB) is a basic cyclic polypeptide antibiotic produced by Bacillus polymyxa, and is one of the last options for treating multi-drug-resistant negative bacterial infections in clinical practice. In recent years, many population pharmacokinetic studies of PMB have been conducted. This paper sought to comprehensively summarize the characteristics of population pharmacokinetic models of PMB and provide a theoretical basis for the individualized use of PMB. Methods: In this review, we systematically searched the PubMed and Embase databases to find articles on population pharmacokinetic models published from database establishment to August 2021. Results: A total of 10 studies were included in this review, including studies on various types of severe infections caused by multi-drug-resistant bacteria, hospital-acquired infections with fibrosis and other male and female populations, and a study of 2 continuous renal replacement therapy (CRRT) patients, aged 16-94 years, who received PMB doses of 10-360 mg/day (0.13-3.45 mg/kg/day), at an administration time of 0.5-6 hours. First-order linear elimination was used in all the studies; a 1-compartment model was used in 5 studies, and a 2-compartment model was used in 5 studies. The most common covariates were creatinine clearance (CrCL) and body weight. Discussion: Although these studies included several covariates and total clearance (CL) was close, but the external validation of some models was poorly correlated between the actual and predicted value. Novel or potential covariates represent important directions for further study.
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