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动态模型中抗生素体外比较的新方法:曲线下等效面积/MIC断点以及曲伐沙星和环丙沙星针对相似敏感性细菌的等效剂量

A new approach to in vitro comparisons of antibiotics in dynamic models: equivalent area under the curve/MIC breakpoints and equiefficient doses of trovafloxacin and ciprofloxacin against bacteria of similar susceptibilities.

作者信息

Firsov A A, Vostrov S N, Shevchenko A A, Portnoy Y A, Zinner S H

机构信息

Department of Pharmacokinetics, Centre of Science & Technology LekBioTech, Moscow 117246, Russia.

出版信息

Antimicrob Agents Chemother. 1998 Nov;42(11):2841-7. doi: 10.1128/AAC.42.11.2841.

Abstract

Time-kill studies, even those performed with in vitro dynamic models, often do not provide definitive comparisons of different antimicrobial agents. Also, they do not allow determinations of equiefficient doses or predictions of area under the concentration-time curve (AUC)/MIC breakpoints that might be related to antimicrobial effects (AMEs). In the present study, a wide range of single doses of trovafloxacin (TR) and twice-daily doses of ciprofloxacin (CI) were mimicked in an in vitro dynamic model. The AMEs of TR and CI against gram-negative bacteria with similar susceptibilities to both drugs were related to AUC/MICs that varied over similar eight-fold ranges [from 54 to 432 and from 59 to 473 (microg . h/ml)/(microg/ml), respectively]. The observation periods were designed to include complete bacterial regrowth, and the AME was expressed by its intensity (the area between the control growth in the absence of antibiotics and the antibiotic-induced time-kill and regrowth curves up to the point where viable counts of regrowing bacteria equal those achieved in the absence of drug [IE]). In each experiment monoexponential pharmacokinetic profiles of TR and CI were simulated with half-lives of 9.2 and 4.0 h, respectively. Linear relationships between IE and log AUC/MIC were established for TR and CI against three bacteria: Escherichia coli (MIC of TR [MICTR] = 0.25 microg/ml; MIC of CI [MICCI] = 0.12 microg/ml), Pseudomonas aeruginosa (MICTR = 0.3 microg/ml; MICCI = 0.15 microg/ml), and Klebsiella pneumoniae (MICTR = 0.25 microg/ml; MICCI = 0.12 microg/ml). The slopes and intercepts of these relationships differed for TR and CI, and the IE-log AUC/MIC plots were not superimposed, although they were similar for all bacteria with a given antibiotic. By using the relationships between IE and log AUC/MIC, TR was more efficient than CI. The predicted value of the AUC/MIC breakpoint for TR [mean for all three bacteria, 63 (microg . h/ml)/(microg/ml)] was approximately twofold lower than that for CI. Based on the IE-log AUC/MIC relationships, the respective dose (D)-response relationships were reconstructed. Like the IE-log AUC/MIC relationships, the IE-log D plots showed TR to be more efficient than CI. Single doses of TR that are as efficient as two 500-mg doses of CI (500 mg given every 12 h) were similar for the three strains (199, 226, and 203 mg). This study suggests that in vitro evaluation of the relationships between IE and AUC/MIC or D might be a reliable basis for comparing different fluoroquinolones and that the results of such comparative studies may be highly dependent on their experimental design and datum quantitation.

摘要

时间杀菌研究,即使是那些使用体外动态模型进行的研究,通常也无法提供不同抗菌药物的明确比较。此外,它们无法确定等效剂量,也无法预测可能与抗菌效果(AME)相关的浓度-时间曲线下面积(AUC)/最低抑菌浓度(MIC)断点。在本研究中,在体外动态模型中模拟了广泛的单剂量曲伐沙星(TR)和每日两次剂量的环丙沙星(CI)。TR和CI对两种药物敏感性相似的革兰氏阴性菌的AME与AUC/MIC相关,其变化范围相似,均为八倍左右[分别为54至432以及59至473(微克·小时/毫升)/(微克/毫升)]。观察期设计为包括细菌的完全再生长,AME通过其强度表示(在无抗生素情况下对照生长曲线与抗生素诱导的时间杀菌和再生长曲线之间的面积,直至再生长细菌的活菌数等于无药物时达到的活菌数[IE])。在每个实验中,分别模拟了半衰期为9.2小时和4.0小时的TR和CI的单指数药代动力学曲线。针对三种细菌(大肠杆菌(TR的MIC[MICTR]=0.25微克/毫升;CI的MIC[MICCI]=0.12微克/毫升)、铜绿假单胞菌(MICTR=0.3微克/毫升;MICCI=0.15微克/毫升)和肺炎克雷伯菌(MICTR=0.25微克/毫升;MICCI=0.12微克/毫升))建立了TR和CI的IE与log AUC/MIC之间的线性关系。这些关系的斜率和截距对于TR和CI有所不同,并且IE-log AUC/MIC图并不重叠,尽管对于给定抗生素的所有细菌而言它们是相似的。通过使用IE与log AUC/MIC之间的关系,TR比CI更有效。TR的AUC/MIC断点预测值[三种细菌的平均值,63(微克·小时/毫升)/(微克/毫升)]比CI的预测值低约两倍。基于IE-log AUC/MIC关系,重建了各自的剂量(D)-反应关系。与IE-log AUC/MIC关系一样,IE-log D图显示TR比CI更有效。对于三种菌株(199、226和203毫克),与两次500毫克CI剂量(每12小时给予500毫克)效果相同的TR单剂量相似。本研究表明,体外评估IE与AUC/MIC或D之间的关系可能是比较不同氟喹诺酮类药物的可靠基础,并且此类比较研究的结果可能高度依赖于其实验设计和数据定量。

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