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危重症患者中广谱抗菌药物的药代动力学变异性及治疗药物监测的意义

Pharmacokinetic variability and significance of therapeutic drug monitoring for broad-spectrum antimicrobials in critically ill patients.

作者信息

Tanaka Ryota

机构信息

Department of Clinical Pharmacy, Oita University Hospital, Yufu, Oita, Japan.

出版信息

J Pharm Health Care Sci. 2025 Mar 17;11(1):21. doi: 10.1186/s40780-025-00425-6.

Abstract

Critically ill patients are susceptible to serious infections due to their compromised conditions and extensive use of medical devices, often requiring empiric broad-spectrum antimicrobial therapy. Failure of antimicrobial therapy in this vulnerable population has a direct impact on the patient's survival; hence, selecting the optimal dosage is critical. This population, however, exhibits complex and diverse disease-related physiological changes that can markedly alter antimicrobial disposition. Inflammatory cytokines overexpressed in the systemic inflammatory response syndrome increase vascular permeability, leading to higher volume of distribution for hydrophilic antimicrobials. These cytokines also downregulate metabolic enzyme activities, reducing the clearance of their substrates. Hypoalbuminemia can increase the volume of distribution and clearance of highly protein-bound antimicrobials. Acute kidney injury decreases, while augmented renal clearance increases the clearance of antimicrobials primarily excreted by the kidneys. Furthermore, continuous renal replacement therapy and extracorporeal membrane oxygenation used in critical illness substantially affect antimicrobial pharmacokinetics. The complex interplay of multiple factors observed in critically ill patients poses a significant challenge in predicting the pharmacokinetics of antimicrobials. Therapeutic drug monitoring is the most effective tool to address this issue, and is proactively recommended for vancomycin, teicoplanin, aminoglycosides, voriconazole, β-lactams, and linezolid in critically ill patients. To streamline this process, model-informed precision dosing is expected to promote personalized medicine for this population.

摘要

重症患者由于病情危重和大量使用医疗设备,易发生严重感染,常需经验性广谱抗菌治疗。在这一脆弱人群中,抗菌治疗失败直接影响患者生存,因此选择最佳剂量至关重要。然而,这一人群表现出复杂多样的与疾病相关的生理变化,可显著改变抗菌药物的处置。全身炎症反应综合征中过度表达的炎性细胞因子会增加血管通透性,导致亲水性抗菌药物的分布容积增大。这些细胞因子还会下调代谢酶活性,减少其底物的清除。低白蛋白血症可增加高蛋白结合抗菌药物的分布容积和清除率。急性肾损伤会降低,而肾清除率增加则会增加主要经肾脏排泄的抗菌药物的清除率。此外,危重病中使用的连续性肾脏替代治疗和体外膜肺氧合会显著影响抗菌药物的药代动力学。在重症患者中观察到的多种因素的复杂相互作用,给预测抗菌药物的药代动力学带来了重大挑战。治疗药物监测是解决这一问题的最有效工具,对于重症患者的万古霉素、替考拉宁、氨基糖苷类、伏立康唑、β-内酰胺类和利奈唑胺,积极推荐进行治疗药物监测。为简化这一过程,模型指导的精准给药有望推动该人群的个性化医疗。

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