Tobramycin a Priori Dosing Regimens Based on PopPK Model Simulations in Critically Ill Patients: Are They Transferable?

Author:

Duong Alexandre12,Simard Chantale34,Williamson David15,Marsot Amélie126

Affiliation:

1. Faculté de Pharmacie, Université de Montréal, Montréal ;

2. Laboratoire de Suivi Thérapeutique Pharmacologique et Pharmacocinétique, Faculté de Pharmacie, Université de Montréal, Montréal ;

3. Institut Universitaire de Cardiologie et Pneumologie de Québec, Québec ;

4. Faculté de Pharmacie, Université Laval, Québec ;

5. Hôpital Sacré-Cœur de Montréal, Université de Montréal, Montréal ; and

6. Centre de Recherche, CHU Sainte Justine, Montréal, Canada.

Abstract

Background: 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. Methods: 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. Results: 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. Conclusion: 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.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Pharmacology (medical),Pharmacology

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