Center for Anti-infective Research and Development, Hartford Hospital, Hartford, Connecticut, USA.
Pharmacotherapy. 2021 Feb;41(2):220-233. doi: 10.1002/phar.2505. Epub 2021 Feb 14.
Therapeutic drug monitoring (TDM) opens the door to personalized medicine, yet it is infrequently applied to β-lactam antibiotics, one of the most commonly prescribed drug classes in the hospital setting. As we continue to understand more about β-lactam pharmacodynamics (PD) and wide inter- and intra-patient variability in pharmacokinetics (PK), the utility of TDM has become increasingly apparent. For β-lactams, the time that free concentrations remain above the minimum inhibitory concentration (MIC) as a function of the dosing interval (%fT>MIC) has been shown to best predict antibacterial effect. Many studies have shown that β-lactam %fT>MIC exposures are often suboptimal across a wide variety of disease states and clinical settings. A limitation to implementing this practice is the general lack of understanding on how to best operationalize this intervention and interpret the results. The instrumentation and expertise needed to quantify β-lactams for TDM is rarely available locally, but certain laboratories advertise these services and perform them regularly. Familiarity with the modalities and nuances of antimicrobial susceptibility testing is crucial to establishing β-lactam concentration targets that meet the relevant exposure thresholds. Evaluation of these concentrations is best accomplished using population PK software and Bayesian modeling, for which a multitude of programs are available. While TDM of β-lactams has shown an ability to increase the rate of target attainment, there is currently limited evidence to suggest that it leads to improved clinical outcomes. Although consensus guidelines for β-lactam TDM do not exist in the United States, guidance would help to promote this important practice and better standardize the approach across institutions. Herein, we discuss the basis for β-lactam TDM, review supporting evidence, and provide guidance for implementation in specific patient populations.
治疗药物监测(therapeutic drug monitoring,TDM)为个性化医疗开辟了大门,但它在医院环境中应用于最常被处方的药物类别之一——β-内酰胺类抗生素的情况却很少见。随着我们对β-内酰胺类抗生素药代动力学(pharmacokinetics,PK)和广泛的患者内和患者间变异性的了解不断深入,TDM 的实用性变得越来越明显。对于β-内酰胺类抗生素,游离浓度在给药间隔时间内保持在最低抑菌浓度(minimum inhibitory concentration,MIC)以上的时间(%fT>MIC)作为预测抗菌效果的最佳指标。许多研究表明,在广泛的疾病状态和临床环境中,β-内酰胺类抗生素 %fT>MIC 暴露通常不理想。实施这一实践的一个限制是,人们普遍缺乏了解如何最好地实施这一干预措施并解释结果。用于 TDM 的定量 β-内酰胺类抗生素所需的仪器和专业知识在当地很少有,但是某些实验室宣传这些服务并定期进行这些服务。熟悉抗菌药物敏感性测试的方式和细微差别对于确定符合相关暴露阈值的β-内酰胺类抗生素浓度目标至关重要。使用群体 PK 软件和贝叶斯建模评估这些浓度是最佳方法,有多种程序可供使用。虽然β-内酰胺类抗生素 TDM 已显示出提高目标达成率的能力,但目前尚无证据表明它能改善临床结局。尽管在美国没有β-内酰胺类抗生素 TDM 的共识指南,但指南将有助于促进这一重要实践,并在各机构之间更好地标准化该方法。在此,我们讨论了β-内酰胺类抗生素 TDM 的基础,回顾了支持性证据,并为特定患者群体的实施提供了指导。