| Literature DB >> 32621968 |
Xiaojun Cai1, Huizhu Song2, Zheng Jiao3, Hang Yang4, Min Zhu5, Chengyu Wang6, Dong Wei4, Lingzhi Shi4, Bo Wu7, Jingyu Chen8.
Abstract
We aimed to (i) develop a population pharmacokinetic model of tacrolimus in Chinese lung transplant recipients and (ii) propose model-based dosing regimens for individualized treatment. We obtained 807 tacrolimus steady-state whole blood concentrations from 52 lung transplant patients and genotyped CYP3A5*3. Population pharmacokinetic analysis was performed using nonlinear mixed-effects modeling. Monte Carlo simulations were employed to determine the initial dosing regimens. Tacrolimus pharmacokinetics was described by a one-compartment model with first-order absorption and elimination processes. In CYP3A5*3/*3 70-kg patients with 30% hematocrit and voriconazole-free therapy, the mean estimated apparent clearance was 13.1 l h-1 with 20.1% between-subject variability, which was lower than that in Caucasian lung transplant patients (17.5-36.5 l h-1). Hematocrit, postoperative days, tacrolimus daily dose, voriconazole concomitant therapy, and CYP3A5*3 genotype were identified as significant covariates for tacrolimus clearance. To achieve target trough concentration (10-15 ng ml-1) on the 8th day post-transplant, a higher initial dosage than the current regimen of 0.04 mg kg-1 every 12 h is recommended for CYP3A5*1/*3 patients without voriconazole concomitant therapy. Given the nonlinear kinetics of tacrolimus and large variability, population pharmacokinetic model should be combined with therapeutic drug monitoring to optimize individualized therapy.Entities:
Keywords: Dosage optimization; Lung transplantation; Monte Carlo simulation; Population pharmacokinetics; Tacrolimus
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Year: 2020 PMID: 32621968 DOI: 10.1016/j.ejps.2020.105448
Source DB: PubMed Journal: Eur J Pharm Sci ISSN: 0928-0987 Impact factor: 4.384