Division of Pharmacology, Leiden Academic Centre for Drug Research, Leiden, The Netherlands.
Clinical Pharmacology Modelling & Simulation, GlaxoSmithKline, Stockley Park, UK.
Br J Clin Pharmacol. 2018 Jan;84(1):97-111. doi: 10.1111/bcp.13400. Epub 2017 Nov 7.
Population pharmacokinetic modelling has been widely used across many therapeutic areas to identify sources of variability, which are incorporated into models as covariate factors. Despite numerous publications on pharmacokinetic drug-drug interactions (DDIs) between antiepileptic drugs (AEDs), such data are not used to support the dose rationale for polytherapy in the treatment of epileptic seizures. Here we assess the impact of DDIs on plasma concentrations and evaluate the need for AED dose adjustment.
Models describing the pharmacokinetics of carbamazepine, clobazam, clonazepam, lamotrigine, levetiracetam, oxcarbazepine, phenobarbital, phenytoin, topiramate, valproic acid and zonisamide in adult and paediatric patients were collected from the published literature and implemented in NONMEM v7.2. Taking current clinical practice into account, we explore simulation scenarios to characterize AED exposure in virtual patients receiving mono- and polytherapy. Steady-state, maximum and minimum concentrations were selected as parameters of interest for this analysis.
Our simulations show that DDIs can cause major changes in AED concentrations both in adults and children. When more than one AED is used, even larger changes are observed in the concentrations of the primary drug, leading to significant differences in steady-state concentration between mono- and polytherapy for most AEDs. These results suggest that currently recommended dosing algorithms and titration procedures do not ensure attainment of appropriate therapeutic concentrations.
The effect of DDIs on AED exposure cannot be overlooked. Clinical guidelines must consider such covariate effects and ensure appropriate dosing recommendations for adult and paediatric patients who require combination therapy.
群体药代动力学模型已广泛应用于多个治疗领域,以确定变异性的来源,并将其作为协变量因素纳入模型。尽管有许多关于抗癫痫药物(AED)之间药代动力学药物相互作用(DDI)的出版物,但这些数据并未用于支持癫痫发作治疗中多药治疗的剂量合理性。在这里,我们评估了 DDI 对血浆浓度的影响,并评估了调整 AED 剂量的必要性。
从已发表的文献中收集了描述卡马西平、氯巴占、氯硝西泮、拉莫三嗪、左乙拉西坦、奥卡西平、苯巴比妥、苯妥英、托吡酯、丙戊酸和唑尼沙胺在成人和儿科患者中的药代动力学模型,并在 NONMEM v7.2 中实现。考虑到当前的临床实践,我们探索了模拟方案,以描述接受单药和多药治疗的虚拟患者的 AED 暴露情况。稳态、最大和最小浓度被选为本次分析的关注参数。
我们的模拟结果表明,DDI 可导致 AED 浓度在成人和儿童中发生重大变化。当使用一种以上的 AED 时,主要药物的浓度变化更大,导致大多数 AED 的单药和多药治疗稳态浓度之间存在显著差异。这些结果表明,目前推荐的剂量算法和滴定程序不能确保达到适当的治疗浓度。
DDI 对 AED 暴露的影响不容忽视。临床指南必须考虑这些协变量效应,并确保需要联合治疗的成人和儿科患者获得适当的剂量建议。