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评价贝叶斯预测方法在成年肾移植受者中两次采样预测他克莫司暴露的应用。

Evaluation of Bayesian Forecasting Methods for Prediction of Tacrolimus Exposure Using Samples Taken on Two Occasions in Adult Kidney Transplant Recipients.

机构信息

School of Medicine, The University of Queensland.

School of Pharmacy, The University of Queensland.

出版信息

Ther Drug Monit. 2021 Apr 1;43(2):238-246. doi: 10.1097/FTD.0000000000000814.

Abstract

BACKGROUND

Bayesian forecasting-based limited sampling strategies (LSSs) for tacrolimus have not been evaluated for the prediction of subsequent tacrolimus exposure. This study examined the predictive performance of Bayesian forecasting programs/services for the estimation of future tacrolimus area under the curve (AUC) from 0 to 12 hours (AUC0-12) in kidney transplant recipients.

METHODS

Tacrolimus concentrations were measured in 20 adult kidney transplant recipients, 1 month post-transplant, on 2 occasions one week apart. Twelve samples were taken predose and 13 samples were taken postdose at the specified times on the first and second sampling occasions, respectively. The predicted AUC0-12 (AUCpredicted) was estimated using Bayesian forecasting programs/services and data from both sampling occasions for each patient and compared with the fully measured AUC0-12 (AUCmeasured) calculated using the linear trapezoidal rule on the second sampling occasion. The bias (median percentage prediction error [MPPE]) and imprecision (median absolute prediction error [MAPE]) were determined.

RESULTS

Three programs/services were evaluated using different LSSs (C0; C0, C1, C3; C0, C1, C2, C4; and all available concentrations). MPPE and MAPE for the prediction of fully measured AUC0-12 were <15% for each program/service (with the exclusion of when only C0 was used), when using estimated AUC from data on the same (second) occasion. The MPPE and MAPE for the prediction of a future fully measured AUC0-12 were <15% for 2 programs/services (and for the third when participants who had a tacrolimus dose change between sampling days were excluded), when the occasion 1-AUCpredicted, using C0, C1, and C3, was compared with the occasion 2-AUCmeasured.

CONCLUSIONS

All 3 Bayesian forecasting programs/services evaluated had acceptable bias and imprecision for predicting a future AUC0-12, using tacrolimus concentrations at C0, C1, and C3, and could be used for the accurate prediction of tacrolimus exposure in adult kidney transplant recipients.

摘要

背景

贝叶斯预测为基础的有限采样策略(LSS)在预测他克莫司的后续暴露方面尚未得到评估。本研究旨在评估贝叶斯预测方案/服务在预测肾移植受者 0 至 12 小时时的他克莫司下面积(AUC0-12)方面的预测性能。

方法

在移植后 1 个月,对 20 例成年肾移植受者进行了 2 次采样,间隔 1 周。第一次采样时,在规定时间分别采集了 12 个点的预剂量样本和 13 个点的剂量后样本。分别使用每个患者两次采样的数据,通过贝叶斯预测方案/服务估算预测 AUC0-12(AUCpredicted),并与第二次采样时使用线性梯形规则计算的全测 AUC0-12(AUCmeasured)进行比较。确定了偏差(中位数预测误差百分比[MPPE])和不精确性(中位数绝对预测误差[MAPE])。

结果

使用不同的 LSS(C0;C0、C1、C3;C0、C1、C2、C4;以及所有可用浓度)评估了 3 个方案/服务。当使用相同(第二次)采样时的数据估算 AUC 时,每个方案/服务的 AUC0-12 全测预测的 MPPE 和 MAPE 均<15%(当仅使用 C0 时除外)。当使用来自第一次采样时的数据估算 AUC 时,2 个方案/服务(第三个方案/服务在排除了采样日之间调整他克莫司剂量的参与者后)的 AUC0-12 全测预测的 MPPE 和 MAPE<15%,比较了 C0、C1 和 C3 的第一次采样 AUCpredicted 与第二次采样 AUCmeasured。

结论

使用 C0、C1 和 C3 的他克莫司浓度,评价的 3 种贝叶斯预测方案/服务在预测未来 AUC0-12 方面具有可接受的偏差和不精确性,可用于准确预测成年肾移植受者的他克莫司暴露情况。

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