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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:浓度-时间曲线下中国成人肝移植患者他克莫司面积估计的有限采样策略

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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:已提出有限采样策略(LSS)作为估计免疫抑制剂他克莫司(TAC)的浓度-时间曲线(AUC)下面积的替代方法。在这项研究中,我们旨在建立用于预测中国肝移植患者TAC的AUC的LSS模型。方法:招募了接受免疫抑制方案(包括TAC)的28例成人肝移植患者。在治疗1或3周后,总共获得了47种药代动力学特征。通过剂量前(0 h)和给药后1,1.5、2、2.5、3、4、6、8和12 h的LC-MS / MS测定法确定TAC浓度。使用最佳子集回归分析来建立估计TAC AUC(0-12)的模型。计算了预测误差(PE)和绝对PE。通过Bland-Altman分析研究了预测的和测量的AUC(0-12)之间的一致性。通过引导分析验证所获得的模型。比较了各种CYP3A5和ABCB1基因型的预测性能。从以前发表的研究中选择的模型也使用我们的数据进行了验证。结果:建立了包括1、2、3和4个血液时间点采样的28个模型(r(2)= 0.653-0.979)。预测TAC AUC(0-12)的最佳模型是0.81 + 1.73C(1)+ 1.32C(2)+ 3.87C(4)+ 3.75C(8)(r(2)= 0.979)。 40个配置文件(85.1%)估计的TAC AUC(0-12)在所观察到的TAC AUC(0-12)的+/- 15%之内。 C-0-C-2(r(2)= 0.880)的模型可用于需要在短期内进行监测的门诊患者。我们还发现ABCB1基因型可能是预测性能差异的原因。通过使用先前研究的模型并在给药后4小时内收集样品,预测的和测量的AUC(0-12)(r(2)= 0.880-0.928)之间具有良好的相关性。结论:LSS是评估中国肝移植患者全TAC AUC(0-12)的有效方法。 (C)2016 S.Karger AG,巴塞尔

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