Barry Jessica M, Illamola Sílvia M, Pennell Page B, Sherwin Catherine M, Meador Kimford J, Birnbaum Angela K
Department of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, Minnesota, USA.
Department of Neurology, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Epilepsia. 2025 Feb;66(2):346-355. doi: 10.1111/epi.18184. Epub 2024 Dec 23.
We aimed to quantify and predict lacosamide exposure during pregnancy by developing a pregnancy physiologically-based pharmacokinetic model, allowing the prediction of potential dose increases to support maintaining a patient's preconception lacosamide concentrations.
Models for nonpregnant adults and pregnant female patients were constructed using physiochemical and pharmacological parameters identified from literature review. Evaluation of plasma concentration data from human males was digitized from the literature. Concentration data in nonpregnant and pregnant human females were available from the Maternal Outcomes and Neurodevelopmental Effects of Antiepileptic Drugs (MONEAD) study, a longitudinal observational study which followed 11 nonpregnant and 16 pregnant women receiving lacosamide. Evaluation was conducted qualitatively with visual overlay (>80% of observed concentrations within 90% confidence interval) and quantitatively with average fold error and absolute average fold error (0.8-1.25 ratio acceptance criteria). Simulations of intensively-sampled dosing regimens at steady-state dosing across multiple gestational ages were conducted in Simcyp to evaluate the potential changes in lacosamide pharmacokinetics during pregnancy. Additional simulations were performed to explore the effects of cytochrome polymorphisms and glomerular filtration rate variability.
The model adequately described the evaluation data in nonpregnant adults and pregnant adults between 10 and 40 weeks of gestation. Estimates in patients at 40- weeks of gestation indicated that lacosamide clearance increased by 48.2% compared to nonpregnant patients. Maximum lacosamide concentration (Cmax) during a simulated dosing interval also fell by 30% from preconception to 40 weeks. A simulated dose increase of 50 mg once daily at 10 weeks of gestation supported maintenance of preconception concentration for a typical patient taking the most common dosing regimen of 200 mg, twice daily (BID), preconception.
Simulated changes in lacosamide concentration align with the limited data available in observational studies. Our simulations support the use of therapeutic drug monitoring and dose adjustments to maintain the efficacy of lacosamide pharmacotherapy.
我们旨在通过建立一个基于妊娠生理的药代动力学模型来量化和预测拉科酰胺在孕期的暴露情况,从而预测潜在的剂量增加,以支持维持患者孕前的拉科酰胺浓度。
使用从文献综述中确定的理化和药理学参数构建非孕成年和孕女性患者模型。从文献中数字化了人类男性血浆浓度数据的评估。非孕和孕女性的浓度数据来自抗癫痫药物的母体结局和神经发育影响(MONEAD)研究,这是一项纵向观察性研究,跟踪了11名接受拉科酰胺的非孕女性和16名孕女性。采用视觉叠加法(90%置信区间内>80%的观察浓度)进行定性评估,并采用平均倍数误差和绝对平均倍数误差(接受标准为0.8 - 1.25)进行定量评估。在Simcyp中对多个孕周稳态给药时密集采样的给药方案进行模拟,以评估孕期拉科酰胺药代动力学的潜在变化。还进行了额外的模拟,以探索细胞色素多态性和肾小球滤过率变异性的影响。
该模型充分描述了非孕成年和孕10至40周成年患者的评估数据。孕40周患者的估计表明,与非孕患者相比,拉科酰胺清除率增加了48.2%。模拟给药间隔期间的最大拉科酰胺浓度(Cmax)从孕前到40周也下降了30%。在妊娠10周时模拟每日一次增加50mg剂量,支持维持孕前浓度,对于采用最常见给药方案(孕前每日两次,每次200mg)的典型患者而言。
拉科酰胺浓度的模拟变化与观察性研究中的有限数据一致。我们的模拟支持使用治疗药物监测和剂量调整来维持拉科酰胺药物治疗的疗效。