Department of Clinical Pharmacy, Faculty of Pharmaceutical Sciences, Prince of Songkla University, Songkhla, Thailand.
Division of Pharmaceutical Care, School of Pharmaceutical Sciences, University of Phayao, Phayao, Thailand.
Antimicrob Agents Chemother. 2022 Nov 15;66(11):e0084522. doi: 10.1128/aac.00845-22. Epub 2022 Oct 13.
Several pathophysiological changes can alter meropenem pharmacokinetics in critically ill patients, thereby increasing the risk of subtherapeutic concentrations and affecting therapeutic outcomes. This study aimed to characterize the population pharmacokinetic (PPK) parameters of meropenem, evaluate the relationship between the pharmacokinetic/pharmacodynamic index of meropenem and treatment outcomes, and evaluate the different dosage regimens that can achieve 40%, 75%, and 100% of the dosing interval for which the free plasma concentrations remain above the MIC of the pathogens () targets. Critically ill adult patients treated with meropenem were recruited for this study. Five blood samples were collected from each patient. PPK models were developed using a nonlinear mixed-effects modeling approach, and the final model was subsequently used for Monte Carlo simulations to determine the optimal dosage regimens. A total of 247 concentrations from 52 patients were available for analysis. The two-compartment model with linear elimination adequately described the data. The mean PPK parameters were clearance (CL) of 4.8 L/h, central volume of distribution (V) of 11.4 L, peripheral volume of distribution (V) of 14.6 L, and intercompartment clearance of 10.5 L/h. Creatinine clearance was a significant covariate affecting CL, while serum albumin level and shock status were factors influencing V and V, respectively. Although 75% of the drug-resistant infection patients had values of >40%, approximately 83% of them did not survive the infection. Therefore, 40% might not be sufficient for critically ill patients, and a higher target, such as 75 to 100% , should be considered for optimizing therapy. A 75% could be reached using approved doses administered via a 3-h infusion.
在危重症患者中,几种病理生理变化可改变美罗培南的药代动力学,从而增加治疗浓度不足的风险,并影响治疗效果。本研究旨在描述美罗培南的群体药代动力学(PPK)参数,评估美罗培南药代动力学/药效学指数与治疗结局的关系,并评估不同的剂量方案,以实现 40%、75%和 100%的给药间隔,使游离血浆浓度保持在病原体 MIC 目标以上。本研究纳入了接受美罗培南治疗的成年危重症患者。每位患者采集 5 份血样。采用非线性混合效应模型法建立 PPK 模型,最终模型用于蒙特卡罗模拟,以确定最佳剂量方案。共有 52 例患者的 247 个浓度可用于分析。线性消除的两室模型可很好地描述数据。平均 PPK 参数为清除率(CL)4.8 L/h,中央分布容积(V)11.4 L,外周分布容积(V)14.6 L,隔室间清除率为 10.5 L/h。肌酐清除率是影响 CL 的显著协变量,而血清白蛋白水平和休克状态分别是影响 V 和 V 的因素。虽然 75%的耐药感染患者的 值>40%,但约 83%的患者未治愈感染。因此,40% 可能不足以治疗危重症患者,应考虑更高的目标值,如 75%至 100%,以优化治疗。采用批准的剂量,以 3 小时输注方式给药,可达到 75%的目标值。