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新生儿使用抗生素的药代动力学和药效学考量

Pharmacokinetic and Pharmacodynamic Considerations of Antibiotic Use in Neonates.

作者信息

Regazzi Mario, Berardi Alberto, Picone Simonetta, Tzialla Chryssoula

机构信息

S.I.F.E.B, Italian Society of Pharmacokinetics and Biopharmaceutics, 27100 Pavia, Italy.

Neonatal Intensive Care Unit, University Hospital of Modena, 41124 Modena, Italy.

出版信息

Antibiotics (Basel). 2023 Dec 18;12(12):1747. doi: 10.3390/antibiotics12121747.

Abstract

The selection of an appropriate dose of a given antibiotic for a neonate not only requires knowledge of the drug's basic pharmacokinetic (PK) and pharmacodynamic (PD) properties but also the profound effects that organ development might have on the volume of distribution and clearance, both of which may affect the PK/PD of a drug. Interest has grown in alternative antibiotic dosing strategies that are better aligned with the antibiotic's PK and PD properties. These strategies should be used in conjunction with minimum inhibitory concentration measurements and therapeutic drug monitoring to measure their potential success. They can also guide the clinician in tailoring the delivery of antibiotics to suit an individual patient's needs. Model-informed precision dosing, such as Bayesian forecasting dosing software (which incorporates PK/PD population models), may be utilized to optimize antibiotic exposure in neonatal populations. Consequently, optimizing the antibiotic dose and exposure in each newborn requires expertise in different fields. It drives the collaboration of physicians together with lab technicians and quantitative clinical pharmacologists.

摘要

为新生儿选择合适剂量的特定抗生素,不仅需要了解药物的基本药代动力学(PK)和药效学(PD)特性,还需要了解器官发育可能对分布容积和清除率产生的深远影响,而这两者都可能影响药物的PK/PD。人们对与抗生素PK和PD特性更匹配的替代抗生素给药策略的兴趣与日俱增。这些策略应与最低抑菌浓度测量和治疗药物监测结合使用,以评估其潜在效果。它们还可以指导临床医生调整抗生素给药方式,以满足个体患者的需求。基于模型的精准给药,如贝叶斯预测给药软件(它整合了PK/PD群体模型),可用于优化新生儿群体中的抗生素暴露。因此,为每个新生儿优化抗生素剂量和暴露需要不同领域的专业知识。这促使医生与实验室技术人员和定量临床药理学家展开合作。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5abc/10740758/9049d243a03b/antibiotics-12-01747-g001.jpg

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