首页> 外文期刊>Journal of Clinical Pharmacy and Therapeutics >Two sampling time profiles for the abbreviated estimation of mycophenolic acid area under the curve in adult renal transplant recipients treated with mycophenolate mofetil and concomitant tacrolimus.
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Two sampling time profiles for the abbreviated estimation of mycophenolic acid area under the curve in adult renal transplant recipients treated with mycophenolate mofetil and concomitant tacrolimus.

机译:在用麦考酚酯和他克莫司治疗的成年肾移植受者中,曲线下的麦考酚酸面积的简略估计的两个采样时间曲线。

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OBJECTIVE: Various studies have revealed that mycophenolic acid (MPA) area under the time concentration curve (AUC) may have clinical value in mycophenolate mofetil dose adjustment. As the full AUC measurement is impractical in clinical practice, several abbreviated AUC profiles using pre-dose, and two or three post-dose samples have been proposed; however, the possible use of lower sampling time profiles has an unquestionable practical interest, and the aim of our study was the evaluation of several two-points algorithms using only one post-dose sample. PATIENTS AND METHODS: In 60 MPA concentration-time profiles from 37 adult renal transplant patients treated with mycophenolate mofetil and concomitant tacrolimus, the MPA AUC values were estimated using the three sampling time algorithm (pre-dose, one-half and 2 h post-dose)of Pawinski et al. (Clinical Chemistry 48, 2002, 1497), trapezoidal extrapolated procedure according to Hale et al. (Clinical Pharmacology Therapeutics 64, 1998, 672), and two-points algorithm (pre-dose and 2 h post-dose) proposed by David-Neto et al. (Clinical Transplantation 19, 2005, 19). RESULTS: The AUC values estimated using the algorithm of Pawinski et al. had a very high correlation(r = 0.997, P < 0.001) with the trapezoidal extrapolated AUC results. The estimated AUC values obtained using the two-points algorithm of David-Neto et al. present a high correlation (r = 0.930, P < 0.001), acceptable mean prediction error (+3.3 +/- 1.8%), and a diagnostic efficiency of 94% in the classification of subtherapeutic, therapeutic, and supratherapeutic values, with respect to the three-points algorithm of Pawinskiet al. CONCLUSION: The two sampling time algorithm of David-Neto gave similar results to those of the three-sampling time algorithm of Pawinski, and both, with sampling over 2 h, may be useful for routine MPA AUC estimation in renal transplant recipients with concomitant tacrolimus. Both are unsuitable when unusually unpredictable pharmacokinetics are expected such as with entericcoated formulations.
机译:目的:各种研究表明,时间浓度曲线(AUC)下的麦考酚酸(MPA)面积在调整麦考酚酸酯的剂量中可能具有临床价值。由于在临床实践中无法进行完整的AUC测量,因此建议使用剂量前的几个缩写AUC曲线,并建议使用两个或三个剂量后的样品。但是,可能使用较低的采样时间曲线具有不可置疑的实际兴趣,并且我们的研究目标是仅使用一个剂量后样品对几种两点算法进行评估。患者和方法:在37例接受霉酚酸酯和他克莫司同时治疗的成年肾移植患者的60次MPA浓度-时间曲线中,使用三种采样时间算法(给药前,给药后一半和2小时)估算MPA AUC值。 Pawinski等人。 (Clinical Chemistry 48,2002,1497),根据Hale等人的梯形外推程序。 (临床药理学疗法64,1998,672),以及David-Neto等人提出的两点算法(给药前和给药后2小时)。 (Clinical Transplantation 19,2005,19)。结果:使用Pawinski等人的算法估算的AUC值。与梯形外推AUC结果具有极高的相关性(r = 0.997,P <0.001)。使用David-Neto等人的两点算法获得的估计AUC值。相对于亚治疗值,治疗值和超治疗值而言,具有较高的相关性(r = 0.930,P <0.001),可接受的平均预测误差(+3.3 +/- 1.8%)和94%的诊断效率Pawinskiet等人的三点算法。结论:David-Neto的两次采样时间算法与Pawinski的三次采样时间算法得出的结果相似,并且两者均采样超过2小时,对于合并他克莫司的肾移植接受者的常规MPA AUC估计可能有用。当预期具有异常不可预测的药代动力学时,例如对于肠溶制剂,两者都不适合。

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