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Bacterial Strain-to-Strain Variation in Pharmacodynamic Index Magnitude a Hitherto Unconsidered Factor in Establishing Antibiotic Clinical Breakpoints

机译:药代动力学指数幅度的细菌菌株间差异这是建立抗生素临床断点时迄今为止尚未考虑的因素

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摘要

Antibiotic pharmacodynamic modeling allows variations in pathogen susceptibility and human pharmacokinetics to be accounted for when considering antibiotic doses, potential bacterial pathogen targets for therapy, and clinical susceptibility breakpoints. Variation in the pharmacodynamic index (area-under-the-concentration curve to 24 h [AUC24]/MIC; maximum serum concentration of drug in the serum/MIC; time the serum concentration remains higher than the MIC [T > MIC]) is not usually considered. In an in vitro pharmacokinetic model of infection using a dose-ranging design, we established the relationship between AUC24/MIC and the antibacterial effect for moxifloxacin against 10 strains of Staphylococcus aureus. The distributions of AUC24/MIC targets for 24-h bacteriostatic effect and 1-log, 2-log, and 3-log drops in bacterial counts were used to calculate potential clinical breakpoint values, and these were compared with those obtained by the more conventional approach of taking a single AUC24/MIC target. Consideration of the AUC24/MIC as a distribution rather than a single value resulted in a lower clinical breakpoint.
机译:抗生素药效学建模可以考虑抗生素剂量,潜在的细菌病原体治疗靶标和临床易感性折点时,考虑到病原体敏感性和人药代动力学的变化。药效学指标的变化(浓度曲线下面积至24 h [AUC24] / MIC;血清/ MIC中药物的最大血清浓度;血清浓度保持高于MIC的时间[T> MIC])通常不考虑。在使用剂量范围设计的体外感染药代动力学模型中,我们建立了AUC24 / MIC与莫西沙星对10株金黄色葡萄球菌的抗菌作用之间的关系。使用AUC24 / MIC靶标的24小时抑菌效果分布和细菌计数1-log,2-log和3-log下降的分布来计算潜在的临床断点值,并将其与更常规的方法比较采取单个AUC24 / MIC目标的方法。将AUC24 / MIC视为分布而不是单一值会导致较低的临床断点。

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