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Article Navigation >  Journal of Pharmaceutical Practice and Service  > 2017  >  35(4): 341-345

CHEN Yao, SONG Xiangqing. Meropenem regimens based on the simple mathematical model of T>MIC for two-compartment model[J]. Journal of Pharmaceutical Practice and Service, 2017, 35(4): 341-345. doi: 10.3969/j.issn.1006-0111.2017.04.013
Citation: CHEN Yao, SONG Xiangqing. Meropenem regimens based on the simple mathematical model of T>MIC for two-compartment model[J]. Journal of Pharmaceutical Practice and Service, 2017, 35(4): 341-345. doi: 10.3969/j.issn.1006-0111.2017.04.013
shu

Meropenem regimens based on the simple mathematical model of T>MIC for two-compartment model

doi: 10.3969/j.issn.1006-0111.2017.04.013
  • 1.

    Department of Pharmacy, Loudi Central Hospital, Loudi 417000, China

  • 2.

    Department of Pharmacy, Hunan Cancer Hospital, Changsha 410013, China

  • Received Date: 2016-09-17
  • Rev Recd Date: 2017-01-16
  • Objective To simplify the calculation of T>MIC and evaluate meropenem regimens based on the simple mathematical model of T>MIC reported in literature for two-compartment model. Methods Six meropenem regimens were designed according to the recommended dose with the infusion duration of 0.5 h and 3 h. Four different MIC susceptibility breakpoint of meropenem against clinical microbiologic flora were used to formulate different T>MIC.Each T>MIC was calculated by both the simple and two-compartment model of T>MIC.Meropenem regimens were evaluated for different bacterial infections based on the simple model of T>MIC with 40%~100% of the T>MIC% as the target. The t-test suggested no significant difference between the pairs of T>MIC calculated by the two models. Results and Conclusion Simple model of T>MIC can replace the two-compartment model.Meropenem regimens can be optimized based on this simple model of T>MIC conveniently and quickly.
  • [1] Lee LS,Kinzig-Schippers M,Nafziger AN,et al.Comparison of 30min and 3h infusion regimens for imipenem/cilastatin and for meropenem evaluated by Monte Carlo simulation [J].Diagn Microbiol Infect Dis,2010,68(3):251-258.
    [2] Peric M,Browne FA,Jacobs MR,et al.Activity of nine oral agents against gram-positive and gram-negative bacteria encountered in community-acquired infections:Use of pharmacokinetic/pharmacodynamic breakpoints in the comparative assessment of beta-lactam and macrolide antimicrobial agents[J].Clin Ther,2003,25(1):169-177.
    [3] 李小芳,宋香清.哌拉西林他唑巴坦抗铜绿假单胞菌感染的T>MIC%的推导及在方案评价与优化中的作用[J].中国药师,2015,18(7):1086-1091.
    [4] 宋香清,龙明辉,杨立平.基于T>MIC简易数学模型的哌拉西林他唑巴坦给药方案设计与优化[J].中国医院药学杂志,2016,36(11):911-916.
    [5] 宋香清,龙明辉,杨立平,等.颅脑外科手术患者术中预防使用抗菌药物追加时机与次数研究[J].中华医院感染学杂志,2016,26(18):4151-4154.
    [6] Clinical and Laboratory Standards Institute.Performance Standards for Antimicrobial Susceptibility Testing:Twenty-second Informational Supplement M100-S26[S].USA,2016:52-112.
    [7] 杨 阳,李 昕,王 林,等.基于PK/PD参数的碳青霉烯类药物给药方案设计[J].中南药学,2013,11(2):157-159.
    [8] Iakovlev SV,Beloborodov VB,Sidorenko SV,et al.Multi-centre study of comparative efficacy of meropenem and combined regimens for empirical antibacterial therapy of severe nosocomial infections:Results of clinical and pharmacoeconomic analysis[J].Antibiot Chemother,2006,51(7):15-27.
    [9] Koomanachai P,Bulik CC,Kuti JL,et al.Pharmacodynamic modeling of intravenous antibiotics against gram-negative bacteria collected in the United States[J].Clin Ther,2010,32(4):766-779.
    [10] Li C,Du X,Kuti JL,et al.Clinical pharmacodynamics of meropenem in patients with lower respiratory tract infections[J].Antimicrob Agents Chemother,2007,51(5):1725-1730.
    [11] McKinnon PS,Paladino JA,Schentag JJ.Evaluation of area under the inhibitory curve (AUIC) and time above the minimum inhibitory concentration (T>MIC) as predictors of outcome for cefepime and ceftazidime in serious bacterial infections[J].Int J Antimicrob Agents,2008,31(4):345-351.
    [12] Zhou QT,He B,Zhang C,et al.Pharmacokinetics and pharmacodynamics of meropenem in elderly Chinese with lower respiratory tract infections:Population pharmacokinetics analysis using nonlinear mixed-effects modelling and clinical pharmacodynamics study[J].Drugs Aging,2011,28(11):903-912.
    [13] Fraenkel CJ,UllbergM,Bernander S,et al.In vitro activities of three carbapenems against recent bacterial isolates from severely ill patients at Swedish hospitals[J].Scand J Infect Dis,2006,38(10):853-859.
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Meropenem regimens based on the simple mathematical model of T>MIC for two-compartment model

doi: 10.3969/j.issn.1006-0111.2017.04.013
  • 1. Department of Pharmacy, Loudi Central Hospital, Loudi 417000, China
  • 2. Department of Pharmacy, Hunan Cancer Hospital, Changsha 410013, China
  • Received Date: 2016-09-17
  • Rev Recd Date: 2017-01-16

Abstract: Objective To simplify the calculation of T>MIC and evaluate meropenem regimens based on the simple mathematical model of T>MIC reported in literature for two-compartment model. Methods Six meropenem regimens were designed according to the recommended dose with the infusion duration of 0.5 h and 3 h. Four different MIC susceptibility breakpoint of meropenem against clinical microbiologic flora were used to formulate different T>MIC.Each T>MIC was calculated by both the simple and two-compartment model of T>MIC.Meropenem regimens were evaluated for different bacterial infections based on the simple model of T>MIC with 40%~100% of the T>MIC% as the target. The t-test suggested no significant difference between the pairs of T>MIC calculated by the two models. Results and Conclusion Simple model of T>MIC can replace the two-compartment model.Meropenem regimens can be optimized based on this simple model of T>MIC conveniently and quickly.

CHEN Yao, SONG Xiangqing. Meropenem regimens based on the simple mathematical model of T>MIC for two-compartment model[J]. Journal of Pharmaceutical Practice and Service, 2017, 35(4): 341-345. doi: 10.3969/j.issn.1006-0111.2017.04.013
Citation: CHEN Yao, SONG Xiangqing. Meropenem regimens based on the simple mathematical model of T>MIC for two-compartment model[J]. Journal of Pharmaceutical Practice and Service, 2017, 35(4): 341-345. doi: 10.3969/j.issn.1006-0111.2017.04.013
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