Pharmacy Department, Faculty of Chemical Sciences, Autonomous University of San Luis Potosi, S.L.P., Mexico.
Epilepsy Clinic, Hospital Central "Dr. Ignacio Morones Prieto", San Luis Potosi, S.L.P., Mexico.
J Pharm Sci. 2020 Sep;109(9):2902-2908. doi: 10.1016/j.xphs.2020.05.030. Epub 2020 Jun 12.
Dose individualization is essential in epilepsy treatment, especially in antiepileptic drugs that present high interindividual variability such as lamotrigine. We aimed an observational study to develop a population pharmacokinetic model for quantitative evaluation of the factors that influence lamotrigine pharmacokinetics in Mexican adults with epilepsy. Patients on stable treatment with lamotrigine therapy were included, plasma concentrations were analyzed by a high-performance liquid chromatography method and UGT2B7-161C > T polymorphism was determined. The data were analyzed by NONMEM® 7.3, model validation was performed using bootstrap approach and visual predictive check. Finally, stochastic simulations were carried out to propose dosage regimens. A total of 73 lamotrigine plasma concentrations from 2 h after last dose and up to 0.5 h prior to next administration were fitted to a one-compartment open model. The final population pharmacokinetic model for lamotrigine indicates that concomitant treatment with valproic acid and carbamazepine should be considered to individualize epilepsy treatment with this drug. Based on this model, we proposed dosage regimens to achieve trough lamotrigine concentrations within reference interval (2.5-15 mg/L). These results provide clinical useful data to give more rational anticonvulsant therapy in our population.
个体化治疗在癫痫治疗中至关重要,尤其是在卡马西平、丙戊酸等具有高度个体间变异性的抗癫痫药物中。我们旨在进行一项观察性研究,以建立一个群体药代动力学模型,用于定量评估影响拉莫三嗪药代动力学的因素。纳入接受拉莫三嗪稳定治疗的患者,采用高效液相色谱法分析其血浆浓度,并检测 UGT2B7-161C>T 多态性。使用 NONMEM®7.3 分析数据,采用 bootstrap 方法和可视化预测检查进行模型验证。最后,进行随机模拟以提出剂量方案。对 73 例拉莫三嗪在末次给药后 2 小时至下次给药前 0.5 小时的血药浓度进行了拟合,采用一室开放模型进行拟合。拉莫三嗪的最终群体药代动力学模型表明,应考虑与丙戊酸和卡马西平联合治疗,以个体化该药治疗癫痫。基于该模型,我们提出了剂量方案,以达到参考范围内(2.5-15mg/L)的拉莫三嗪谷浓度。这些结果为我们的人群提供了更合理的抗惊厥治疗的临床有用数据。