Optimizing Antibiotic Drug Therapy in Pediatrics: Current State and Future Needs

The selection of the right antibiotic and right dose necessitates clinicians understand the contribution of pharmacokinetic variability stemming from age‐related physiologic maturation and the pharmacodynamics to optimize drug exposure for clinical response. The complexity of selecting the right dos...

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Bibliographic Details
Published in:Journal of clinical pharmacology Vol. 58; no. S10; pp. S108 - S122
Main Authors: Le, Jennifer, Bradley, John S.
Format: Journal Article
Language:English
Published: England American College of Clinical Pharmacology 01-10-2018
Wiley Subscription Services, Inc
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Summary:The selection of the right antibiotic and right dose necessitates clinicians understand the contribution of pharmacokinetic variability stemming from age‐related physiologic maturation and the pharmacodynamics to optimize drug exposure for clinical response. The complexity of selecting the right dose arises from the multiplicity of pediatric age groups, from premature neonates to adolescents. Body size and age (which relate to organ function) must be incorporated to optimize antibiotic dosing in this vulnerable population. In the effort to optimize and individualize drug dosing regimens, clinical pharmacometrics that incorporate population‐based pharmacokinetic modeling, Bayesian estimation, and Monte Carlo simulations are utilized as a quantitative approach to understanding and predicting the pharmacology and clinical and microbiologic efficacy of antibiotics. In addition, opportunistic study designs and alternative blood sampling strategies can serve as practical approaches to ensure successful conduct of pediatric studies. This review article examines relevant literature on optimization of antibiotic pharmacotherapy in pediatric populations published within the last decade. Specific pediatric antibiotic data, including beta‐lactam antibiotics, aminoglycosides, and vancomycin, are critically evaluated.
Bibliography:ObjectType-Article-2
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ISSN:0091-2700
1552-4604
DOI:10.1002/jcph.1128