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Cited by 557

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Pharmacokinetics and Pharmacodynamics of Antibacterial Agents

Open access
Levison, Matthew E., Levison, Julie H.·2009·Infectious Disease Clinics of North America

Abstract

The pharmacodynamics of an antimicrobial drug relates its pharmacokinetics to the time course of the antimicrobial effects at the site of the infection. Knowledge of the drug's antimicrobial pharmacodynamic effects (eg, rate and extent of bactericidal action and postantibiotic effect) provides a more rational basis for determination of optimal dosing regimens in terms of the dose and the dosing interval than do the minimal inhibitory concentrations (MICs) and minimal bactericidal concentrations (MBCs) determined in vitro. This article reviews pharmacokinetics, antimicrobial pharmacodynamics, the effect of pharmacodynamics on the emergence of resistant bacterial subpopulations, and the development of pharmacodynamic breakpoints for use in the design of trials of these drugs and in the treatment of infected patients.

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Crossref · 10.1016/j.idc.2009.06.008

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Metadata

Authors
Levison, M. E., & Levison, J. H.
Venue
Infectious Disease Clinics of North America
Publisher
Elsevier BV
Published
2009-12
Volume
23
Issue
4
Pages
791-815
ISSN
0891-5520 (ISSN-L)
OpenAlex
W2019799507
Cited by
557
References
5
FWCI
2.56
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Pharmacokinetics and Pharmacodynamics of Antibacterial Agents. https://app.cochat.ai/papers/10.1016/j.idc.2009.06.008
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Levison, M. E., & Levison, J. H. (2009). Pharmacokinetics and Pharmacodynamics of Antibacterial Agents. Infectious Disease Clinics of North America. https://doi.org/10.1016/j.idc.2009.06.008

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.