抗菌剂
抗菌管理
医学
最小抑制浓度
重症监护医学
抗药性
抗生素耐药性
选择(遗传算法)
药品
药理学
抗生素
微生物学
人工智能
生物
计算机科学
标识
DOI:10.7196/samj.2018.v108i9.13285
摘要
The global problem of resistance to antimicrobials has resulted in a co-ordinated drive to use antimicrobial agents more responsibly. At a clinical level this is promoted through antimicrobial stewardship which demands appropriate use through optimal drug selection. Many factors play a role in this process of selection, antimicrobial susceptibility and the pharmacodynamics of the drug being two key determinants. Yet the detail provided by current diagnostic antimicrobial susceptibility testing is suboptimal and does not allow for adequate dose optimisation. The minimum inhibitory concentration (MIC) which underlies all antimicrobial susceptibility testing is largely ignored in the decision-making process of optimal drug selection. Understanding and application of MIC-guided antimicrobial therapy is desperately needed if antimicrobial stewardship is to truly fulfil its mandate.
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