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首页> 外文期刊>Pharmacology: International Journal of Experimental and Clinical Pharmacology >Limited Sampling Strategy for the Estimation of Tacrolimus Area Under the Concentration-Time Curve in Chinese Adult Liver Transplant Patients
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Limited Sampling Strategy for the Estimation of Tacrolimus Area Under the Concentration-Time Curve in Chinese Adult Liver Transplant Patients

机译:中国成人肝脏移植患者浓度 - 时间曲线下估计凝胶蛋白区域的有限抽样策略

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摘要

Objectives: Limited sampling strategies (LSS) have been proposed as an alternative method for estimating area under concentration-time curve (AUC) of immunosuppressive agent tacrolimus (TAC). In this study, we aimed to develop the LSS models for predicting AUC of TAC in Chinese liver transplant patients. Methods: Twenty-eight adult liver transplant patients receiving immunosuppressive regimen including TAC were enrolled. A total of 47 pharmacokinetic profiles were obtained after 1 or 3 weeks therapy. TAC concentrations were determined before dose (0 h) and at 1, 1.5, 2, 2.5, 3, 4, 6, 8 and 12 h after dosing by LC-MS/MS assay. Optimal subset regression analysis was used to establish the models for estimating TAC AUC(0-12). Prediction error (PE) and absolute PE were calculated. The agreement between predicted and measured AUC(0-12) was investigated by Bland-Altman analysis. The obtained models were validated by bootstrap analysis. The prediction performance among various CYP3A5 and ABCB1 genotypes was compared. The models selected from previous published studies were also validated using our data. Results: Twenty-eight models including 1, 2, 3 and 4 blood time points sampling were established (r(2) = 0.653-0.979). The best model for prediction of TAC AUC(0-12) was 0.81 + 1.73C(1) + 1.32C(2) + 3.87C(4) + 3.75C(8) (r(2) = 0.979). Forty profiles (85.1%) had estimated TAC AUC(0-12) within +/- 15% of observed TAC AUC(0-12). Model with C-0-C-2 (r(2) = 0.880) can be used for outpatients who need monitoring to be carried out in a short period. We also found that ABCB1 genotype may be a reason of variation in the prediction performance. There was good correlation between predicted and measured AUC(0-12) (r(2) = 0.880-0.928) by using models from previous studies with sample collected within 4 h post dose. Conclusion: The LSS is an effective approach for estimation of full TAC AUC(0-12) in Chinese liver transplant patients. (C) 2016 S. Karger AG, Basel
机译:目的:已经提出了有限的采样策略(LSS)作为免疫抑制剂Tacrolimus(TAC)浓度 - 时间曲线(AUC)下估计区域的替代方法。在这项研究中,我们旨在开发LSS模型,用于预测中国肝脏移植患者的AUC。方法:注册了28例接受包括TAC的免疫抑制方案的成人肝脏移植患者。在1或3周疗法后,总共获得了47种药代动力学曲线。通过LC-MS / MS测定剂在剂量(0h)和1,1.5,2,2,2.5,3,4,6,8和12h之前测定TAC浓度,在1,1.5,2,2.5,3,4,6,8和12h中测定。最佳子集回归分析用于建立估计TAC AUC(0-12)的模型。计算预测误差(PE)和绝对PE。通过Bland-Altman分析调查了预测和测量AUC(0-12)之间的协议。通过引导分析验证所获得的模型。比较了各种CYP3A5和ABCB1基因型之间的预测性能。从先前发布的研究中选择的模型也使用我们的数据进行了验证。结果:建立了二十八种型号,包括1,2,3和4血液时间点采样(R(2)= 0.653-0.979)。用于预测TAC AUC(0-12)的最佳模型为0.81 + 1.73℃(1)+ 1.32℃(2)+ 3.87℃(4)+ 3.75℃(8)(R(2)= 0.979)。四十份概况(85.1%)在观察到的TAC AUC(0-12)的+/- 15%内估计了TAC AUC(0-12)。具有C-0-C-2(R(2)= 0.880)的型号可用于需要在短时间内进行监控的门诊病人。我们还发现ABCB1基因型可能是预测性能变化的原因。通过使用先前研究的模型,预测和测量的AUC(0-12)(r(2)= 0.880-0.928)之间存在良好的相关性,通过在4小时内给药中收集的样品。结论:LSS是中国肝脏移植患者全TAC AUC(0-12)估计的有效方法。 (c)2016年S. Karger AG,巴塞尔

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