Delavenne X, Laporte S, Demasles S, Mallouk N, Basset T, Tod M, Girard P, Mismetti P
Faculté de Médecine, Université Jean Monnet, EA3065, Saint-Etienne, France.
Fundam Clin Pharmacol. 2009 Feb;23(1):127-35. doi: 10.1111/j.1472-8206.2008.00642.x.
A pharmacokinetic-pharmacodynamic (PK-PD) drug-drug interaction between acenocoumarol and amoxicillin + clavulanic acid antibiotic was assessed in eight healthy volunteers, using a population PK-PD) model. Each subject received at day 1 a single dose of 8 mg of acenocoumarol. Then 1 g of amoxicillin + 250 mg of clavulanic acid was given from days 3 to 9. On day 8, each subject received a single dose of 8 mg of acenocoumarol concomitantly with the antibiotic combination. Eleven blood samples were taken during 48 h following each acenocoumarol administration. Acenocoumarol plasma concentrations and prothrombin time were measured at each sampling time. We first identified the structural PK model by pooling data from this trial with individual data from other acenocoumarol PK trials. An indirect response model was used to fit PD data. Models were built using a non-linear mixed effect modelling approach with nonmem software. Covariates were tested on PK and PD parameters, including antibiotic treatment. Acenocoumarol PK data were fitted by a two-compartment, first-order input model with log normal inter-individual variability. Weight and antibiotic treatment were found to improve significantly the fit of PK data with a 15% decrease in acenocoumarol clearance with concomitant antibiotics (P < 0.05). An indirect response model was successfully applied to the PK-PD data of acenocoumarol. No covariate, including antibiotic treatment effect, significantly affected PT. Drug-drug interaction was demonstrated at the PK level, without any PD corollary.
在八名健康志愿者中,使用群体药代动力学-药效学(PK-PD)模型评估了醋硝香豆素与阿莫西林+克拉维酸抗生素之间的药代动力学-药效学(PK-PD)药物相互作用。每位受试者在第1天接受单剂量8毫克醋硝香豆素。然后从第3天至第9天给予1克阿莫西林+250毫克克拉维酸。在第8天,每位受试者在服用抗生素组合的同时接受单剂量8毫克醋硝香豆素。在每次醋硝香豆素给药后的48小时内采集11份血样。在每个采样时间测量醋硝香豆素的血浆浓度和凝血酶原时间。我们首先通过将本试验的数据与其他醋硝香豆素PK试验的个体数据合并来确定结构PK模型。使用间接响应模型拟合药效学数据。使用非参数软件通过非线性混合效应建模方法构建模型。在PK和PD参数上测试协变量,包括抗生素治疗。醋硝香豆素的PK数据由具有对数正态个体间变异性的二室一级输入模型拟合。发现体重和抗生素治疗可显著改善PK数据的拟合,同时使用抗生素时醋硝香豆素清除率降低15%(P<0.05)。间接响应模型成功应用于醋硝香豆素的PK-PD数据。没有协变量,包括抗生素治疗效果,对凝血酶原时间有显著影响。在PK水平上证明了药物相互作用,没有任何药效学方面的必然结果。