White C A, Toothaker R D, Smith A L, Slattery J T
Department of Pharmaceutics, University of Washington, Seattle 98195.
Antimicrob Agents Chemother. 1989 Jul;33(7):1046-51. doi: 10.1128/AAC.33.7.1046.
An in vitro flow model was used to examine the influence of peak concentration (Cmax), the area under the antibiotic concentration-time curve (AUC), the magnitude of AUC above the MIC, and the aggregate time the antibiotic concentration exceeds the MIC (TMIC) on the bactericidal effect of ampicillin against Escherichia coli ATCC 12407. Bacteria in the log phase were exposed to therapeutically realistic drug regimens. Ampicillin concentration and bacterial density (CFU per milliliter) were measured over time. Four parameters reflecting bactericidal activity were quantitated: difference between initial and minimum and initial and final bacterial densities, area under the bacterial density-time curve, and a fourth parameter, sigma, which is a function of these three. Multiple regression analysis confirmed AUC as the major factor in predicting bactericidal activity. An AUC of greater than 70 micrograms.h/ml correlated with the lack of emergence of resistance.
使用体外流动模型来研究峰浓度(Cmax)、抗生素浓度-时间曲线下面积(AUC)、高于最低抑菌浓度(MIC)的AUC值以及抗生素浓度超过MIC的总时间(TMIC)对氨苄西林针对大肠杆菌ATCC 12407杀菌效果的影响。对数期的细菌暴露于具有治疗现实意义的给药方案。随着时间推移测量氨苄西林浓度和细菌密度(每毫升菌落形成单位)。对反映杀菌活性的四个参数进行了定量:初始与最低以及初始与最终细菌密度之间的差异、细菌密度-时间曲线下面积,以及作为这三个参数函数的第四个参数西格玛(sigma)。多元回归分析证实AUC是预测杀菌活性的主要因素。大于70微克·小时/毫升的AUC与耐药性未出现相关。