MacGowan A
Department of Medical Microbiology, Bristol Centre for Antimicrobial Research and Evaluation, University of Bristol and North Bristol NHS Trust, Southmead Hospital, Westbury-on-Trym, Bristol, UK.
Clin Microbiol Infect. 2008 Jan;14 Suppl 1:166-8. doi: 10.1111/j.1469-0691.2007.01859.x.
An understanding of antibacterial pharmacokinetics and pharmacodynamics is central to setting clinical breakpoints. It is important to understand any impact that a resistance mechanism may have on these basic drug properties. With extended-spectrum beta-lactamase (ESBL)-producing strains of Enterobacteriacae, it is known that MIC, and hence T>MIC, for beta-lactams predicts outcome. Therefore, pharmacodynamic modelling can be used to set breakpoints for ESBL-producing bacteria with beta-lactams.
对抗菌药物的药代动力学和药效学的理解是设定临床断点的核心。了解耐药机制可能对这些基本药物特性产生的任何影响很重要。对于产超广谱β-内酰胺酶(ESBL)的肠杆菌科菌株,已知β-内酰胺类药物的最低抑菌浓度(MIC)以及因此的T>MIC可预测治疗结果。因此,药效学建模可用于为产ESBL细菌的β-内酰胺类药物设定断点。