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Antibiotic treatment for animals: effect on bacterial population and dosage regimen optimisation

机译:动物抗生素治疗:对细菌种群和剂量方案优化的影响

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摘要

Concern regarding antimicrobial resistance has led to proposals for the prudent use of antimicrobial agents. Whilst this is appropriate, it is not sufficient. This article proposes that dosage schedules should be developed to provide a basis for the rational use of antimicrobial drugs. This requires knowledge of resistance mechanisms and transfer, the biochemistry and structure of microorganisms and both the pharmacodynamics and pharmacokinetics of antimicrobial drugs. Dosage schedules should maintain concentrations at the site of infection in excess of MIG,, for bacteriostatic drugs and bactericidal drugs acting primarily by time-dependent mechanisms whilst they should provide high AUIC and C(max/)minimum inhibitory concentration (MIC) values for agents acting mainly by concentration-depandent mechanisms. It is proposed that pharmacodynamic and population pharmacokinetic data should be integrated through use of the sigmoidal E-max equation, together with mathematical modelling and appropriate statistical analyses, to take account of the natural variation in drug pharmacodynamics and pharmacokinetics. (C) 2000 Elsevier Science B.V. and international Society of Chemotherapy. All rights reserved. [References: 10]
机译:有关抗菌素耐药性的担忧导致人们提出了谨慎使用抗菌剂的建议。尽管这是适当的,但这还不够。本文建议应制定剂量表,为合理使用抗菌药物提供依据。这需要了解耐药机制和转移,微生物的生物化学和结构,以及抗菌药物的药效学和药代动力学。对于主要通过时间依赖性机制发挥作用的抑菌药和杀菌药,给药方案应使感染部位的浓度保持在MIG之上,同时应提供高AUIC和C(max /)最小抑菌浓度(MIC)值主要通过浓度依赖机制起作用。建议通过使用S型E-max方程,结合数学模型和适当的统计分析,将药效学和总体药代动力学数据进行整合,以考虑到药物药效学和药代动力学的自然变化。 (C)2000 Elsevier Science B.V.和国际化学疗法学会。版权所有。 [参考:10]

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