Evaluation of a non-parametric modelling for meropenem in critically ill patients using Monte Carlo simulation

被引:10
|
作者
Idoate Grijalba, Ana Isabel [1 ]
Aldaz Pastor, Azucena [1 ]
Marquet, Pierre [2 ,3 ,4 ]
Woillard, Jean-Baptiste [2 ,3 ,4 ]
机构
[1] Clin Univ Navarra, Pharm Dept, Pamplona 31008, Spain
[2] Univ Limoges, IPPRITT, F-87000 Limoges, France
[3] INSERM, IPPRITT, U1248, F-87000 Limoges, France
[4] CHU Limoges, F-87000 Limoges, France
关键词
Meropenem; Population pharmacokinetics; Pmetrics; Probability of target attainment; POPULATION PHARMACOKINETICS; DOSING SIMULATIONS; PHARMACODYNAMICS; REGIMEN; SEPSIS; TISSUE; UNITS;
D O I
10.1007/s00228-019-02716-y
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Purpose In critically ill patients treated with meropenem, the proposed pharmacokinetics/pharmacodynamics (PK/PD) efficacy index is to keep the free drug concentration 4-5 times above the minimum inhibitory concentration (MIC) of the germ isolated, for 100% of the interval regimen. The objectives were to design a population pharmacokinetics model for meropenem in critically ill patients and to evaluate different dosage schemes that achieve the optimal PK/PD objectives. Methods This retrospective, observational, single-centre study included 80 critically ill patients (154 samples) treated with meropenem between May 2011 and December 2017. Patient data, concentrations, treatment and bacteriological variables were collected from electronic medical records. Total and free concentrations of meropenem were modelled in Pmetrics. Monte Carlo simulations were performed to assess the probability of achieving the PK/PD target for different dosage regimens. For patients with available data, the number of patients with a free concentration 4 times higher or lower than the observed MIC for the P. aeruginosa and E. coli was investigated. Results A one-compartment model with first-order elimination adequately described serum total and free meropenem concentrations. The only variable that significantly influenced the elimination constant of meropenem was the creatinine clearance (CLcr) calculated using the CKD-EPI formula. The highest probability of achieving the pharmacodynamic objective was with 3-h infusion dosage regimens. Sixty percent and 89% of patients attained a free drug concentration 4 times above the MIC for P. aeruginosa and E. coli respectively. Conclusions This study proposed different dosing regimens depending on renal clearance strata and the MIC of the germ targeted.
引用
收藏
页码:1405 / 1414
页数:10
相关论文
共 50 条
  • [21] Evaluation of Parametric and Non-Parametric Methods for Power Curve Modelling of Wind Turbines
    Panahi, Delshad
    Deilami, Sara
    Masoum, Mohammad A. S.
    [J]. 2015 9TH INTERNATIONAL CONFERENCE ON ELECTRICAL AND ELECTRONICS ENGINEERING (ELECO), 2015, : 996 - 1000
  • [22] Optimization of levetiracetam dosing regimen in critically ill patients with augmented renal clearance: a Monte Carlo simulation study
    Bilbao-Meseguer, Idoia
    Barrasa, Helena
    Rodriguez-Gascon, Alicia
    Asin-Prieto, Eduardo
    Maynar, Javier
    Sanchez-Izquierdo, Jose Angel
    Solinis, Maria Angeles
    Isla, Arantxazu
    [J]. JOURNAL OF INTENSIVE CARE, 2022, 10 (01)
  • [23] Pharmacodynamics of ceftazidime and meropenem in cerebrospinal fluid:: results of population pharmacokinetic modelling and Monte Carlo simulation
    Lodise, T. P.
    Nau, R.
    Kinzig, M.
    Drusano, G. L.
    Jones, R. N.
    Soergel, F.
    [J]. JOURNAL OF ANTIMICROBIAL CHEMOTHERAPY, 2007, 60 (05) : 1038 - 1044
  • [24] System uncertainty modelling using Monte Carlo simulation
    Coughlan, L
    Basil, M
    Cox, P
    [J]. MEASUREMENT & CONTROL, 2000, 33 (03): : 78 - 81
  • [25] Optimization of levetiracetam dosing regimen in critically ill patients with augmented renal clearance: a Monte Carlo simulation study
    Idoia Bilbao-Meseguer
    Helena Barrasa
    Alicia Rodríguez-Gascón
    Eduardo Asín-Prieto
    Javier Maynar
    José Ángel Sánchez-Izquierdo
    María Ángeles Solinís
    Arantxazu Isla
    [J]. Journal of Intensive Care, 10
  • [26] Non-parametric Statistical Static Timing Analysis based on Improved Parallel Monte Carlo
    Qavamy, Zahra
    Ghavami, Behnam
    Nabavi, Morteza
    Savaria, Yvon
    [J]. 2021 IEEE INTERNATIONAL MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS (MWSCAS), 2021, : 648 - 651
  • [27] NON-PARAMETRIC ANOVA IN SMALL SAMPLES - A MONTE CARLO STUDY OF ADEQUACY OF ASYMPTOTIC APPROXIMATION
    GABRIEL, KR
    LACHENBR.PA
    [J]. BIOMETRICS, 1969, 25 (03) : 593 - &
  • [28] Underdosing of ertapenem in critically ill patients with pneumonia confirmed by Monte Carlo simulations
    Burkhardt, Olaf
    Kumar, Vipul
    Schmidt, Stephan
    Kielstein, Jan T.
    Welte, Tobias
    Derendorf, Hartmut
    [J]. INTERNATIONAL JOURNAL OF ANTIMICROBIAL AGENTS, 2010, 35 (01) : 96 - 97
  • [29] Non-parametric modelling and simulation of spatiotemporally varying geo-data
    Wang, Yu
    Hu, Yue
    Phoon, Kok-Kwang
    [J]. GEORISK-ASSESSMENT AND MANAGEMENT OF RISK FOR ENGINEERED SYSTEMS AND GEOHAZARDS, 2022, 16 (01) : 77 - 97
  • [30] Evaluation of pharmacokinetic and pharmacodynamic parameters of meropenem in critically ill patients with acute kidney disease
    Rezvan Hassanpour
    Shadi Ziaie
    Farzad Kobarfard
    Mehran Kouchek
    Mirmohammad Miri
    Azadeh Ahmadi Koomleh
    Seyedpouzhia Shojaei
    Sara Salarian
    Elham Pourheidar
    Fatemeh Nezarat
    Mohammad Sistanizad
    [J]. European Journal of Clinical Pharmacology, 2021, 77 : 831 - 840