Department of Pharmacy, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.
Beijing Key Laboratory of Bio-characteristic Profiling for Evaluation of Clinical Rational Drug Use, Beijing, 100038, China.
Biopharm Drug Dispos. 2020 Mar;41(3):101-110. doi: 10.1002/bdd.2221. Epub 2020 Feb 12.
Methotrexate (MTX) pharmacokinetics has substantial inter-individual variability and toxicity. In children with medulloblastoma treated with high-dose methotrexate (HD-MTX), the pharmacokinetic properties of methotrexate have not been established. A total of 660 serum samples from 105 pediatric patients with medulloblastoma were included in a population pharmacokinetic (PPK) analysis of methotrexate by using the nonlinear mixed-effects modeling method. The basic one-compartment population pharmacokinetic model was established by NONMEM software and the first-order conditional estimation (FOCE) method, and the final covariate model was obtained by the stepwise regression method. Weight (WT), creatinine clearance (CrCL), and whether the treatment was combined with dexamethasone (DEX) were covariates that had significant effects on the clearance rate (CL) of the model. The pharmacokinetic equation of CL in the final covariate model was as follows: CL = 9.23× (1 + 0.0005× (θ -105.78)) × (1 + 0.0017× (θ -16)) × e (L/h), IF (θ ) CL = 1.19× CL (L/h). The estimation accuracy of all pharmacokinetic parameters were acceptable (relative standard error < 14.74%). The goodness-of-fit diagram and bootstrap tests indicated that the final PPK model was stable with acceptable predictive ability. The PPK model may be useful for determining personalized medication levels in pediatric medulloblastoma patients undergoing HD-MTX therapy.
甲氨蝶呤(MTX)药代动力学具有显著的个体间变异性和毒性。在接受高剂量甲氨蝶呤(HD-MTX)治疗的髓母细胞瘤儿童中,尚未确定甲氨蝶呤的药代动力学特性。共纳入了 105 例髓母细胞瘤患儿的 660 份血清样本,采用非线性混合效应模型法进行了甲氨蝶呤的群体药代动力学(PPK)分析。通过 NONMEM 软件和一阶条件估计(FOCE)法建立了基本的单室群体药代动力学模型,并通过逐步回归法获得了最终的协变量模型。体重(WT)、肌酐清除率(CrCL)和是否联合地塞米松(DEX)治疗是对模型清除率(CL)有显著影响的协变量。最终协变量模型中 CL 的药代动力学方程如下:CL = 9.23×(1 + 0.0005×(θ -105.78))×(1 + 0.0017×(θ -16))× e(L/h),IF(θ)CL = 1.19×CL(L/h)。所有药代动力学参数的估计准确性均在可接受范围内(相对标准误差<14.74%)。拟合度图和 Bootstrap 检验表明,最终的 PPK 模型具有良好的稳定性和可接受的预测能力。该 PPK 模型可能有助于确定接受 HD-MTX 治疗的小儿髓母细胞瘤患者的个体化药物水平。