Xurui Gu1, Min Zhu2,3, Changcheng Sheng4,5, Shuran Yu6, Qilin Peng1, Mubai Ma1, Yani Hu1, Ziran Li4, Zheng Jiao7, Boting Zhou8. 1. Department of Pharmacy, Xiangya Hospital, Central South University, No. 87, Xiangya Road, Changsha, 410008, Hunan Province, China. 2. Department of Pharmacy, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, 200030, China. 3. School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, Jiangsu Province, 211198, China. 4. Department of Pharmacy, Huashan Hospital, Fudan University, Shanghai, 200040, China. 5. Department of Pharmacy, Guizhou Provincial People's Hospital, Guiyang, 550002, Guizhou Province, China. 6. Reproductive and Genetic Hospital of CITIC-Xiangya, Changsha, 410078, Hunan Province, China. 7. Department of Pharmacy, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, 200030, China. jiaozhen@online.sh.cn. 8. Department of Pharmacy, Xiangya Hospital, Central South University, No. 87, Xiangya Road, Changsha, 410008, Hunan Province, China. botingzhou0918@csu.edu.cn.
Abstract
PURPOSE: The purpose of this study was to establish a protein binding model of unbound valproic acid (VPA) based on Chinese pediatric patients with epilepsy and provide a reference for clinical medication. METHODS: A total of 313 patients were included and both their total and unbound VPA concentrations (375 pairs of concentrations) were measured. NONMEM software was used for population pharmacokinetic modeling. The stepwise method was used to screen the potential covariates. Goodness-of-fit plot, bootstrap, and visual predictive check were used for model evaluation. In addition, dose recommendations for typical patients aged 0 to 16 years were proposed by Monte Carlo simulations. RESULTS: A one-compartment model of first-order absorption and first-order elimination was used to describe the pharmacokinetic characteristics of unbound VPA, and the linear non-saturable binding equation was introduced to describe the protein binding. Body weight, age-based maturation, and co-medicated with lamotrigine could affect the CL/F of unbound and bound VPA. Model evaluation showed satisfactory robustness of the final model. The dosing regimens for children aged 0 to 16 years were proposed based on the final established model. CONCLUSION: We developed a population pharmacokinetic model of unbound and bound VPA that took account of protein binding. The VPA dosing regimen in pediatric patients with epilepsy needs to be optimized by the body weight, age, and co-medications.
PURPOSE: The purpose of this study was to establish a protein binding model of unbound valproic acid (VPA) based on Chinese pediatric patients with epilepsy and provide a reference for clinical medication. METHODS: A total of 313 patients were included and both their total and unbound VPA concentrations (375 pairs of concentrations) were measured. NONMEM software was used for population pharmacokinetic modeling. The stepwise method was used to screen the potential covariates. Goodness-of-fit plot, bootstrap, and visual predictive check were used for model evaluation. In addition, dose recommendations for typical patients aged 0 to 16 years were proposed by Monte Carlo simulations. RESULTS: A one-compartment model of first-order absorption and first-order elimination was used to describe the pharmacokinetic characteristics of unbound VPA, and the linear non-saturable binding equation was introduced to describe the protein binding. Body weight, age-based maturation, and co-medicated with lamotrigine could affect the CL/F of unbound and bound VPA. Model evaluation showed satisfactory robustness of the final model. The dosing regimens for children aged 0 to 16 years were proposed based on the final established model. CONCLUSION: We developed a population pharmacokinetic model of unbound and bound VPA that took account of protein binding. The VPA dosing regimen in pediatric patients with epilepsy needs to be optimized by the body weight, age, and co-medications.
Entities:
Keywords:
Children; Epilepsy; Population pharmacokinetics; Protein binding; Therapeutic drug monitoring; Valproic acid