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Simulation-Based Evaluation of PK/PD Indices for Meropenem Across Patient Groups and Experimental Designs
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Pharmaceutical Biosciences. (Farmakometri)ORCID iD: 0000-0003-3166-9981
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2016 (English)In: Pharmaceutical research, ISSN 0724-8741, E-ISSN 1573-904X, Vol. 33, no 5, 1115-1125 p.Article in journal (Refereed) Published
Abstract [en]

PURPOSE: Antibiotic dose predictions based on PK/PD indices rely on that the index type and magnitude is insensitive to the pharmacokinetics (PK), the dosing regimen, and bacterial susceptibility. In this work we perform simulations to challenge these assumptions for meropenem and Pseudomonas aeruginosa.

METHODS: A published murine dose fractionation study was replicated in silico. The sensitivity of the PK/PD index towards experimental design, drug susceptibility, uncertainty in MIC and different PK profiles was evaluated.

RESULTS: The previous murine study data were well replicated with fT > MIC selected as the best predictor. However, for increased dosing frequencies fAUC/MIC was found to be more predictive and the magnitude of the index was sensitive to drug susceptibility. With human PK fT > MIC and fAUC/MIC had similar predictive capacities with preference for fT > MIC when short t1/2 and fAUC/MIC when long t1/2.

CONCLUSIONS: A longitudinal PKPD model based on in vitro data successfully predicted a previous in vivo study of meropenem. The type and magnitude of the PK/PD index were sensitive to the experimental design, the MIC and the PK. Therefore, it may be preferable to perform simulations for dose selection based on an integrated PK-PKPD model rather than using a fixed PK/PD index target.

Place, publisher, year, edition, pages
2016. Vol. 33, no 5, 1115-1125 p.
National Category
Pharmaceutical Sciences
Research subject
Pharmaceutical Science
Identifiers
URN: urn:nbn:se:uu:diva-278027DOI: 10.1007/s11095-016-1856-xISI: 000373629000006PubMedID: 26786016OAI: oai:DiVA.org:uu-278027DiVA: diva2:906048
Funder
Swedish Foundation for Strategic Research
Available from: 2016-02-23 Created: 2016-02-23 Last updated: 2017-11-30Bibliographically approved

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Kristoffersson, AndersFriberg, LenaNielsen, Elisabet

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