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

被引:4
|
作者
Duong, Alexandre [1 ,2 ]
Simard, Chantale [3 ,4 ]
Williamson, David [1 ,5 ]
Marsot, Amelie [1 ,2 ,6 ]
机构
[1] Univ Montreal, Fac Pharm, 2940 Chemin Polytech, Montreal, PQ H3T 1J4, Canada
[2] Univ Montreal, Fac Pharm, Lab Suivi Therapeut Pharmacol & Pharmacocinet, Montreal, PQ, Canada
[3] Inst Univ Cardiol & Pneumol Quebec, Quebec City, PQ, Canada
[4] Univ Laval, Fac Pharm, Quebec City, PQ, Canada
[5] Univ Montreal, Hop Sacre Coeur Montreal, Montreal, PQ, Canada
[6] CHU St Justine, Ctr Rech, Montreal, PQ, Canada
关键词
tobramycin; population pharmacokinetic modeling; external evaluation; model re-estimation; POPULATION PHARMACOKINETICS; PHARMACODYNAMICS; AMINOGLYCOSIDES; PREDICTION;
D O I
10.1097/FTD.0000000000001091
中图分类号
R446 [实验室诊断]; R-33 [实验医学、医学实验];
学科分类号
1001 ;
摘要
Supplemental Digital Content is Available in the Text. 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.
引用
收藏
页码:616 / 622
页数:7
相关论文
共 50 条
  • [21] Suboptimal aminoglycoside dosing in critically ill patients
    Rea, RS
    Capitano, B
    Bigos, K
    Bies, R
    Smith, R
    CRITICAL CARE MEDICINE, 2005, 33 (12) : A171 - A171
  • [22] Importance of Antibiotic Dosing in Critically Ill Patients
    Roberts, Jason A.
    CURRENT PHARMACEUTICAL BIOTECHNOLOGY, 2011, 12 (12) : 1981 - 1982
  • [23] Antifungal Dosing Strategies for Critically Ill Patients
    Dietrich T.E.
    Pfeifer C.J.
    Aker K.E.
    Bergman S.J.
    Current Fungal Infection Reports, 2017, 11 (1) : 5 - 15
  • [24] Optimizing dosing of antibiotics in critically ill patients
    Parker, Suzanne L.
    Sime, Fekade B.
    Roberts, Jason A.
    CURRENT OPINION IN INFECTIOUS DISEASES, 2015, 28 (06) : 497 - 504
  • [25] Suboptimal Aminoglycoside Dosing in Critically Ill Patients
    Rea, Rhonda S.
    Capitano, Blair
    Bies, Robert
    Bigos, Kristin L.
    Smith, Randall
    Lee, Howard
    THERAPEUTIC DRUG MONITORING, 2008, 30 (06) : 674 - 681
  • [26] Initial dosing of vancomycin in critically ill patients
    Kees, Martin G.
    Voegeler, Stephan
    Hilpert, Justus W.
    INTERNATIONAL JOURNAL OF ANTIMICROBIAL AGENTS, 2011, 38 (01) : 91 - 92
  • [27] Colistin Dosing Regimens against Pseudomonas aeruginosa in Critically Ill Patients: An Application of Monte Carlo Simulation
    Nguyen, Van Thi Khanh
    Montakantikul, Preecha
    Tragulpiankit, Pramote
    Houngsaitong, Jantana
    Shuib, Mohd Fazli
    ANTIBIOTICS-BASEL, 2021, 10 (05):
  • [28] Advancing precision-based antimicrobial dosing in critically ill patients
    Cotta, Menino O.
    Lipman, Jeffrey
    De Waele, Jan
    INTENSIVE CARE MEDICINE, 2023, 49 (03) : 324 - 326
  • [29] Advancing precision-based antimicrobial dosing in critically ill patients
    Menino O. Cotta
    Jeffrey Lipman
    Jan De Waele
    Intensive Care Medicine, 2023, 49 : 324 - 326
  • [30] Population pharmacokinetics and model-based dosing optimization of teicoplanin in elderly critically ill patients with pneumonia
    Kang, Sung Wook
    Jo, Hyeong Geun
    Kim, Donghyun
    Jeong, Kyeoul
    Lee, Jaeok
    Lee, Hwa Jeong
    Yang, Seungwon
    Park, Sohyun
    Rhie, Sandy Jeong
    Chung, Eun Kyoung
    JOURNAL OF CRITICAL CARE, 2023, 78