Firsov A A, Saverino D, Ruble M, Gilbert D, Manzano B, Medeiros A A, Zinner S H
Department of Medicine, Brown University, Providence, Rhode Island 02908, USA.
Antimicrob Agents Chemother. 1996 Mar;40(3):734-8. doi: 10.1128/AAC.40.3.734.
The clinical outcome in patients treated with ampicillin-sulbactam may not always be predictable by disc susceptibility testing or with the MIC as determined with a constant level (4 micrograms/ml) of the beta-lactamase inhibitor (MIC1). The enzyme activities (EA) and the MICs estimated at a constant ratio of ampicillin to sulbactam of 2:1 (MIC2) for 15 TEM-1 beta-lactamase-producing strains of Escherichia coli were examined as alternatives to MIC1 as predictors of the antibacterial effects of this combined drug as studied in an in vitro model which simulates ampicillin-sulbactam pharmacokinetic profiles observed in human peripheral tissues. Integral parameters describing the area under the bacterial count-time curve (AUBC), the area between the normal growth curve, and the killing curve of bacteria exposed to antibiotic (ABBC), and the second parameter expressed as a percentage of its maximal hypothetical value (ABBC/ABBCmax) were calculated. All three parameters correlated well with EA (AUBC, r = 0.93; ABBC, r = -0.88; ABBC/ABBCmax, r = -0.91) and with MIC2 (r = 0.94, -0.94, and -0.95, respectively) but not with MIC1. Both EA and MIC2 can be considered reliable predictors of the antibacterial effect of ampicillin-sulbactam in an in vitro model. These correlations suggest that in vitro kinetic-dynamic models might be useful to reexamine established susceptibility breakpoints obtained with data based on the MIC1 (MICs obtained with constant levels of beta-lactamase inhibitors). These data also suggest that quantitative determinations of bacterial beta-lactamase production and MICs based on the component concentration ratio observed in vivo might be useful predictors of the effect of ampicillin-sulbactam and other beta-lactam-inhibitor combinations.
氨苄西林-舒巴坦治疗患者的临床结局并非总能通过纸片药敏试验或用β-内酰胺酶抑制剂恒定水平(4微克/毫升)测定的最低抑菌浓度(MIC1)来预测。在体外模型中,对15株产TEM-1β-内酰胺酶的大肠杆菌菌株,以氨苄西林与舒巴坦2:1的恒定比例估算的酶活性(EA)和最低抑菌浓度(MIC2)进行了检测,以替代MIC1作为该联合药物抗菌效果的预测指标,该体外模型模拟了人体外周组织中观察到的氨苄西林-舒巴坦药代动力学特征。计算了描述细菌计数-时间曲线下面积(AUBC)、正常生长曲线与暴露于抗生素的细菌杀灭曲线之间的面积(ABBC)以及第二个参数(表示为其最大假设值的百分比,ABBC/ABBCmax)的积分参数。所有这三个参数与EA(AUBC,r = 0.93;ABBC,r = -0.88;ABBC/ABBCmax,r = -0.91)和MIC2(分别为r = 0.94、-0.94和-0.95)均具有良好的相关性,但与MIC1无关。在体外模型中,EA和MIC2均可被视为氨苄西林-舒巴坦抗菌效果的可靠预测指标。这些相关性表明,体外动力学-动态模型可能有助于重新审视基于MIC1(用恒定水平的β-内酰胺酶抑制剂获得的MIC)数据得出的既定药敏折点。这些数据还表明,基于体内观察到的成分浓度比进行细菌β-内酰胺酶产生量和MIC的定量测定,可能是氨苄西林-舒巴坦及其他β-内酰胺酶抑制剂组合效果的有用预测指标。