Faculté de Pharmacie, Université de Montréal, Montréal.
Laboratoire de Suivi Thérapeutique Pharmacologique et Pharmacocinétique, Faculté de Pharmacie, Université de Montréal, Montréal.
Ther Drug Monit. 2023 Oct 1;45(5):616-622. doi: 10.1097/FTD.0000000000001091. Epub 2023 Mar 7.
In recent years, multiple population pharmacokinetic models have been developed for drugs such as tobramycin that need therapeutic drug monitoring. Some of these models have been used to develop a priori dosing regimens for their respective populations. However, these dosing regimens may not apply to other populations. Therefore, this study aimed to evaluate tobramycin population pharmacokinetic models in critically ill patients and establish an adequate dosing regimen.
Evaluated models were identified from a literature review of aminoglycoside population pharmacokinetic models in critically ill patients. After retrospective data collection in 2 Quebec hospitals, external evaluation and model re-estimation were performed with NONMEM (v7.5) to assess imprecision and bias values. Dosing regimens were simulated and compared between the best-performing model and its re-estimated counterparts.
None of the 3 evaluated models showed acceptable imprecision or bias values in the data sets of the 19 patients. Similar percentages of target attainment were obtained for the original and re-estimated models after the dosing regimen simulations.
Although the predictive performance evaluation criteria were inadequate, the original and re-estimated models yielded similar results. This raises the question of what a priori bias and imprecision thresholds should be defined as acceptable for the external evaluation of models to be applied in clinical practice. Studies evaluating the impact of these thresholds are needed.
近年来,已经开发出了多种需要治疗药物监测的药物(如妥布霉素)的群体药代动力学模型。其中一些模型已被用于为各自的人群制定事先的给药方案。然而,这些给药方案可能不适用于其他人群。因此,本研究旨在评估重症患者中妥布霉素群体药代动力学模型,并建立合适的给药方案。
通过对重症患者氨基糖苷类群体药代动力学模型的文献回顾,确定了评估模型。在对魁北克省的 2 家医院进行回顾性数据收集后,使用 NONMEM(v7.5)进行外部评估和模型重新估计,以评估不精确性和偏差值。对最佳模型及其重新估计模型的给药方案进行模拟和比较。
在所评估的 19 名患者的数据集中,没有一个模型显示出可接受的不精确性或偏差值。在给药方案模拟后,原始模型和重新估计模型的目标达标率相似。
尽管预测性能评估标准不充分,但原始和重新估计的模型得出了相似的结果。这引发了一个问题,即应该将哪些事先的偏差和不精确性阈值定义为可接受的,以便将模型应用于临床实践中的外部评估。需要进行评估这些阈值影响的研究。