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管理抗真菌药物剂量中的不确定性:药敏试验、治疗药物监测和药物相互作用。

Managing uncertainty in antifungal dosing: antibiograms, therapeutic drug monitoring and drug-drug interactions.

机构信息

Department of Medical and Surgical Sciences, University of Bologna. Infectious Diseases, IRCCS S.Orsola-Malpighi University Hospital, Bologna, Italy.

Departments of Medicine and Medical Microbiology & Immunology, University of Wisconsin-Madison, Madison, Wisconsin, USA.

出版信息

Curr Opin Infect Dis. 2021 Aug 1;34(4):288-296. doi: 10.1097/QCO.0000000000000740.

Abstract

PURPOSE OF REVIEW

A number of pharmacokinetic and pharmacodynamic factors in critically ill or severely immunosuppressed patients influence the effectiveness of antifungal therapy making dosing less certain. Recent position papers from infectious diseases societies and working groups have proposed methods for dosage individualization of antibiotics in critically ill patients using a combination of population pharmacokinetic models, Monte-Carlo simulation and therapeutic drug monitoring (TDM) to guide dosing. In this review, we examine the current limitations and practical issues of adapting a pharmacometrics-guided dosing approaches to dosing of antifungals in critically ill or severely immunosuppressed populations.

RECENT FINDINGS

We review the current status of antifungal susceptibility testing and challenges in incorporating TDM into Bayesian dose prediction models. We also discuss issues facing pharmacometrics dosage adjustment of newer targeted chemotherapies that exhibit severe pharmacokinetic drug-drug interactions with triazole antifungals.

SUMMARY

Although knowledge of antifungal pharmacokinetic/pharmacodynamic is maturing, the practical application of these concepts towards point-of-care dosage individualization is still limited. User-friendly pharmacometric models are needed to improve the utility of TDM and management of a growing number of severe pharmacokinetic antifungal drug-drug interactions with targeted chemotherapies.

摘要

目的综述

许多危重症或严重免疫抑制患者的药代动力学和药效动力学因素影响抗真菌治疗的效果,使剂量更不确定。传染病学会和工作组的最近立场文件提出了使用群体药代动力学模型、蒙特卡罗模拟和治疗药物监测(TDM)相结合的方法,为重症患者的抗生素剂量个体化,以指导剂量。在这篇综述中,我们研究了将基于药代动力学的剂量调整方法应用于危重症或严重免疫抑制人群中抗真菌药物剂量的当前局限性和实际问题。

最近的发现

我们回顾了抗真菌药敏试验的现状以及将 TDM 纳入贝叶斯剂量预测模型的挑战。我们还讨论了新型靶向化疗药物在药代动力学剂量调整方面面临的问题,这些药物与三唑类抗真菌药物存在严重的药物相互作用。

总结

尽管对抗真菌药代动力学/药效动力学的认识正在成熟,但这些概念在实际应用于床边剂量个体化方面仍受到限制。需要用户友好的药代动力学模型来提高 TDM 的实用性,并管理与靶向化疗药物的日益增加的严重药代动力学抗真菌药物相互作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8ea/9914162/f1b2528feec8/coidi-34-288-g001.jpg

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