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左乙拉西坦药代动力学的真实世界患者间变异性。

Real-world interpatient variability in the pharmacokinetics of levetiracetam.

作者信息

Chykharivska Alina, Kagan Leonid, Wagner Mary, Brunetti Luigi

机构信息

Department of Pharmacy Practice, Ernest Mario School of Pharmacy, Rutgers, The State University of New Jersey, Piscataway, NJ, USA.

Department of Pharmaceutics, Ernest Mario School of Pharmacy, Rutgers, The State University of New Jersey, Piscataway, NJ, USA.

出版信息

Fundam Clin Pharmacol. 2025 Apr;39(2):e13059. doi: 10.1111/fcp.13059.

Abstract

BACKGROUND

Levetiracetam (LEV) is an antiepileptic drug (AED) used to treat a variety of seizures in adult and pediatric populations. It is an ideal AED due to its favorable pharmacokinetic (PK) and pharmacodynamic profile and lack of interactions with other AEDs.

METHODS

This retrospective cohort study was designed to identify covariates that affect LEV clearance and volume of distribution and to generate a population PK model. Adults with a seizure history receiving LEV during hospital admission with a minimum of one serum LEV concentration available were included in the study. Population PK modeling and covariate testing was performed with MONOLIX Suite 2020R1 (Lixoft, France).

RESULTS

A total of 162 serum concentrations were collected from 143 patients. Age, sex, body weight descriptors, serum creatinine, creatinine clearance (CrCL), serum albumin, liver enzymes, and total bilirubin were evaluated. Body surface area (BSA) was a significant covariate for the apparent volume of distribution (V/F). The exclusion of BSA as a covariate of V/F increased the objective function value (OFV) 5.6. CrCL was a significant covariate of apparent plasma clearance (CL/F). The exclusion of CrCL increased the OFV by 18.16 and significantly increased the root square error (RSE) % of the between-subject variabilities of the parameters.

CONCLUSION

LEV clearance is an effective predictor of serum concentration. CrCL was a significant covariate influencing LEV clearance, and BSA was found to influence the volume of distribution. Further studies are needed to determine the effect of body weight descriptors on LEV clearance and, ultimately, outcomes.

摘要

背景

左乙拉西坦(LEV)是一种抗癫痫药物(AED),用于治疗成人和儿童的多种癫痫发作。由于其良好的药代动力学(PK)和药效学特性,且与其他AEDs无相互作用,它是一种理想的AED。

方法

本回顾性队列研究旨在确定影响LEV清除率和分布容积的协变量,并建立群体PK模型。纳入在住院期间接受LEV治疗且有癫痫病史、至少有一次可用血清LEV浓度的成人。使用MONOLIX Suite 2020R1(法国Lixoft公司)进行群体PK建模和协变量测试。

结果

共收集了143例患者的162份血清浓度数据。评估了年龄、性别、体重描述指标、血清肌酐、肌酐清除率(CrCL)、血清白蛋白、肝酶和总胆红素。体表面积(BSA)是表观分布容积(V/F)的一个显著协变量。将BSA排除作为V/F的协变量会使目标函数值(OFV)增加5.6。CrCL是表观血浆清除率(CL/F)的一个显著协变量。排除CrCL会使OFV增加18.16,并显著增加参数个体间变异性的均方根误差(RSE)%。

结论

LEV清除率是血清浓度的有效预测指标。CrCL是影响LEV清除率的一个显著协变量,且发现BSA会影响分布容积。需要进一步研究以确定体重描述指标对LEV清除率以及最终对疗效的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a9cd/11798909/958805d16429/FCP-39-0-g001.jpg

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