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Population pharmacokinetics of theophylline in premature Korean infants.

机译:韩国早产儿茶碱的群体药代动力学。

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The aim of this study was to investigate the population pharmacokinetics of theophylline in premature Korean infants and to assess the influence of clinical covariates.Blood samples were first obtained after 1 week of maintenance dosing and then acquired approximately 4 weeks after continuous dosing. The time points were just before dosing and 2, 4, or 6 hours (at randomly assigned time points) after dosing. Two single-nucleotide polymorphism markers, -3860 G>A (CYP1A2*1C) and -163C>A (CYP1A2*1F), were genotyped. Gestational age (GA), postnatal age (PNA), postconceptional age (PCA = GA + PNA), body weight (BW), height, serum AST, serum ALT, serum BUN, serum creatinine, oxygen support, sex, delivery mode, and CYP1A2 genotypes were used for covariate model building. External validation was analyzed using data from an additional 27 patients.A total of 334 serum concentration measurements were made in 100 patients. A one-compartment absorptive model with first-order elimination was fitted to the data in NONMEM (version 7.1.2). The final model included the following parameters: Clearance (L/h) = 0.00492 × (BW)(3.53) + 0.00646 × (PNA), and volume of distribution (L) = 1.53 × (BW). The addition of the CYP1A2*1C or CYP1A2*1F genotypes to the model did not improve the model. The external validation results confirmed the predictive performance without bias in the final model.The selected covariates were generally consistent with previous studies. However, the mean volume of distribution was higher than the values reported in other population pharmacokinetic studies, which may have been due to the use of 2 sampling time points. The predictive performance was reasonably acceptable. Therefore, the present model may permit more accurate selection of doses to achieve target theophylline concentrations in premature infants.
机译:这项研究的目的是研究茶碱在韩国早产儿中的群体药代动力学,并评估临床协变量的影响。首先在维持剂量1周后获得血液样本,然后在连续剂量约4周后获得血液样本。时间点在给药前,给药后2、4、6小时(在随机分配的时间点)。对两个单核苷酸多态性标记-3860 G> A(CYP1A2 * 1C)和-163C> A(CYP1A2 * 1F)进行基因分型。妊娠年龄(GA),产后年龄(PNA),受孕年龄(PCA = GA + PNA),体重(BW),身高,血清AST,血清ALT,血清BUN,血清肌酐,氧气支持,性别,分娩方式, CYP1A2和CYP1A2基因型用于建立协变量模型。使用另外27位患者的数据对外部验证进行了分析。在100位患者中进行了334次血清浓度测量。将具有一阶消除的单室吸收模型拟合到NONMEM(7.1.2版)中的数据。最终模型包括以下参数:间隙(L / h)= 0.00492×(BW)(3.53)+ 0.00646×(PNA),分布体积(L)= 1.53×(BW)。向模型中添加CYP1A2 * 1C或CYP1A2 * 1F基因型并不能改善模型。外部验证结果证实了最终模型的预测性能无偏倚。所选的协变量通常与以前的研究一致。但是,平均分布量高于其他人群药代动力学研究中报告的值,这可能是由于使用了两个采样时间点。预测性能是可以合理接受的。因此,本模型可以允许更精确地选择剂量以实现早产儿的靶茶碱浓度。

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