The integration of pharmacokinetics and pathogen susceptibility data in the design of rational dosing regimens

The integration of pharmacokinetic and pathogen susceptibility data has had an increasing impact on the design of dosage regimens. Pathogen susceptibility is often described by the minimum inhibitory concentration (MIC). While the MIC is an indicator of drug potency, it does not predict pharmacologi...

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Published inMethods and findings in experimental and clinical pharmacology Vol. 26; no. 10; p. 781
Main Authors Maglio, D, Nicolau, D P
Format Journal Article
LanguageEnglish
Published Spain 01.12.2004
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Abstract The integration of pharmacokinetic and pathogen susceptibility data has had an increasing impact on the design of dosage regimens. Pathogen susceptibility is often described by the minimum inhibitory concentration (MIC). While the MIC is an indicator of drug potency, it does not predict pharmacologic response in vivo when drug concentrations are fluctuating. To this end, three pharmacokinetic/pharmacodynamic (PK/PD) parameters that result from indexing pharmacokinetics to MIC have proven quite useful. A number of experimental models of infection have determined the magnitude of each parameter, AUC/MIC, Cmax/MIC and %T>MIC, required for the optimal treatment of specific pathogens. These measurements have proven to be predictive of clinical outcomes as well. As a result, PK/PD breakpoints have been determined based on the likelihood that the pharmacokinetic profile of a given dose will achieve a target PK/PD parameter value. These breakpoints correlate well with treatment success or failure, particularly evident in infections conducive to microbiologic sampling such as otitis media. Therefore, PK/PD assessments have fostered a much more targeted approach to the treatment of patients with infectious diseases, and have proven useful in the selection of antimicrobial therapy and the development of novel dosing strategies.
AbstractList The integration of pharmacokinetic and pathogen susceptibility data has had an increasing impact on the design of dosage regimens. Pathogen susceptibility is often described by the minimum inhibitory concentration (MIC). While the MIC is an indicator of drug potency, it does not predict pharmacologic response in vivo when drug concentrations are fluctuating. To this end, three pharmacokinetic/pharmacodynamic (PK/PD) parameters that result from indexing pharmacokinetics to MIC have proven quite useful. A number of experimental models of infection have determined the magnitude of each parameter, AUC/MIC, Cmax/MIC and %T>MIC, required for the optimal treatment of specific pathogens. These measurements have proven to be predictive of clinical outcomes as well. As a result, PK/PD breakpoints have been determined based on the likelihood that the pharmacokinetic profile of a given dose will achieve a target PK/PD parameter value. These breakpoints correlate well with treatment success or failure, particularly evident in infections conducive to microbiologic sampling such as otitis media. Therefore, PK/PD assessments have fostered a much more targeted approach to the treatment of patients with infectious diseases, and have proven useful in the selection of antimicrobial therapy and the development of novel dosing strategies.
Author Nicolau, D P
Maglio, D
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CitedBy_id crossref_primary_10_1097_CCM_0b013e3182741e68
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crossref_primary_10_1021_jm301819k
crossref_primary_10_1128_AAC_00474_06
crossref_primary_10_2165_00003088_200746090_00001
crossref_primary_10_1016_j_idc_2007_03_014
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Snippet The integration of pharmacokinetic and pathogen susceptibility data has had an increasing impact on the design of dosage regimens. Pathogen susceptibility is...
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StartPage 781
SubjectTerms Anti-Infective Agents - pharmacokinetics
Anti-Infective Agents - therapeutic use
Dose-Response Relationship, Drug
Drug Administration Schedule
Humans
Microbial Sensitivity Tests - methods
Microbial Sensitivity Tests - standards
Title The integration of pharmacokinetics and pathogen susceptibility data in the design of rational dosing regimens
URI https://www.ncbi.nlm.nih.gov/pubmed/15672121
Volume 26
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