期刊
JOURNAL OF CLINICAL PHARMACOLOGY
卷 60, 期 2, 页码 172-180出版社
WILEY
DOI: 10.1002/jcph.1510
关键词
population pharmacokinetics; modeling and simulation; infectious diseases (INF); pharmacometrics; pharmacokinetics and drug metabolism
资金
- Center for Anti-Infective Research and Development
Monte Carlo simulations (MCSs) are used in antibiotic development to predict the probability of pharmacodynamic target attainment (PTA) for a dosing regimen. However, for beta-lactam/beta-lactamase inhibitor combinations (BL-BLICs), methods for linking simulated concentration profiles of the beta-lactam (BL) and beta-lactamase inhibitor (BLI) components are rarely described. Using a previously defined pharmacokinetic model of ceftazidime/avibactam from critically ill patients, we performed four 5000-patient MCSs using different methods of increasing complexity to couple the BL and BLI components and compared PTA for ceftazidime and avibactam targets of >70% fT>MIC and >70% fT>1 mg/L, respectively, at MICs from 1 to 128 mg/L. Method A ignored all covariates and correlations, whereas methods B, C, and D enhanced associations by adding (B) pharmacokinetic parameter correlation within each drug only; (C) pharmacokinetic parameter correlation within each drug and creatinine clearance (CRCL); and (D) pharmacokinetic parameter correlation within each drug, CRCL, and pharmacokinetic parameter correlation between drugs. Method D produced a simulated patient population that best recapitulated the observed relationships between pharmacokinetic parameters in actual patients. Ceftazidime/avibactam PTA at MIC 8 mg/L (the susceptibility break point) and 16 mg/L ranged from 92.4% to 98.3% and 80.2% to 88.4%, respectively. PTA was lowest with method A, whereas PTA estimates were similar for all other methods. Compared with ignoring all pharmacokinetic parameter associations, the inclusion of covariate relationships and parameter correlation between both components of ceftazidime/avibactam leads to fewer patients with discordant pharmacokinetic parameters and results in higher PTA. Consideration of these methodologies should guide future MCS analyses for BL-BLIC.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据