Mouton Johan W, Punt Nieko, Vinks Alexander A
Department of Medical Microbiology and Infectious Diseases, Canisius Wilhelmina Ziekenhuis, Nijmegen, the Netherlands.
Clin Ther. 2005 Jun;27(6):762-72. doi: 10.1016/j.clinthera.2005.06.013.
Over the past decades, the relationship between the pharmacokinetic (PK) properties of antibiotics, MICs, and clinical effects has been increasingly well understood. Interpatient variability in the PK profile, however, has only recently been recognized as a major factor in predicting the outcome in individual patients and establishing breakpoints for clinical susceptibility. Most predictions to date have used data from healthy volunteers.
The purpose of this study was to perform Monte Carlo simulations of the PK/pharmacodynamic relationships of ceftazidime to assess whether the probability of target attainment (PTA) differed significantly between 3 distinct populations. To that end, population PK models of ceftazidime were developed for the 3 populations.
Serum concentration-time data from earlier studies in healthy volunteers (n = 8), patients with cystic fibrosis (CF) (n = 17), and patients in the intensive care unit (ICU) (n = 6) were used to obtain population PK parameter estimates and covariance matrices using the nonparametric adaptive grid program. The PTA for each group was obtained using 10,000 patient simulations for dosing regimens of 1000 and 2000 mg q8h over a range of MICs and percentages of time that concentrations of unbound drug remained above the MIC (%T > MIC).
The relationship between the MIC and the population mean %T > MIC, as well as the PTA profiles, differed markedly between the 3 groups as a result of both differences and variations in V(d) and Cl. Breakpoints based on a 100% PTA for a %T > MIC of 60% were < or = 4, 0.5, and 0.5 mg/L in healthy volunteers, patients with CF, and patients in the ICU, respectively. However, when PTA values between 90% and 100% were reevaluated and differences in clinical dosing regimens were accounted for, the resulting breakpoints were identical in the 3 groups.
PK parameter estimates for ceftazidime based on data from a small group of healthy volunteers resulted in a clinical susceptibility breakpoint comparable to those for patients with CF and patients in the ICU. Based on the study findings, this breakpoint would be < or = 4 mg/L. Patients suspected of having unusually high rates of clearance should be monitored closely.
在过去几十年中,抗生素的药代动力学(PK)特性、最低抑菌浓度(MIC)与临床疗效之间的关系已日益为人所熟知。然而,患者间PK曲线的变异性直到最近才被确认为预测个体患者预后及确定临床药敏折点的一个主要因素。迄今为止,大多数预测都使用了健康志愿者的数据。
本研究旨在对头孢他啶的PK/药效学关系进行蒙特卡洛模拟,以评估在3个不同人群中达到目标概率(PTA)是否存在显著差异。为此,针对这3个人群建立了头孢他啶的群体PK模型。
利用早期健康志愿者(n = 8)、囊性纤维化(CF)患者(n = 17)和重症监护病房(ICU)患者(n = 6)研究中的血清浓度-时间数据,通过非参数自适应网格程序获得群体PK参数估计值和协方差矩阵。在一系列MIC值以及游离药物浓度高于MIC的时间百分比(%T > MIC)范围内,对1000和2000 mg q8h的给药方案进行10000次患者模拟,从而获得每组的PTA。
由于分布容积(V(d))和清除率(Cl)的差异及变异性,3组之间MIC与群体平均%T > MIC的关系以及PTA曲线明显不同。基于%T > MIC为60%时100% PTA的折点,在健康志愿者、CF患者和ICU患者中分别为≤4、0.5和0.5 mg/L。然而,当重新评估90%至100%的PTA值并考虑临床给药方案的差异时,3组的折点相同。
基于一小群健康志愿者数据得出的头孢他啶PK参数估计值所产生的临床药敏折点,与CF患者和ICU患者的折点相当。根据研究结果,该折点应为≤4 mg/L。对怀疑清除率异常高的患者应密切监测。