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Precision Dosing of Meropenem in Adults with Normal Renal Function: Insights from a Population Pharmacokinetic and Monte Carlo Simulation Study.

Authors :
Kim YK
Kang G
Zang DY
Lee DH
Source :
Antibiotics (Basel, Switzerland) [Antibiotics (Basel)] 2024 Sep 05; Vol. 13 (9). Date of Electronic Publication: 2024 Sep 05.
Publication Year :
2024

Abstract

This study aimed to develop a population pharmacokinetic (PK) model for meropenem in healthy adults and explore optimal dosing regimens for patients with normal renal function. PK samples were obtained from 12 healthy participants, which were analyzed using noncompartmental analysis and nonlinear mixed-effect modeling. The PK profiles of meropenem were characterized using a two-compartment model, and serum creatinine level was identified as a significant covariate affecting total clearance. Monte Carlo simulations were conducted using this model to inform dosing recommendations. The target index for meropenem efficacy was defined as the cumulative percentage over 24 h during which free ( f ) drug concentration exceeded the minimum inhibitory concentration (MIC) under steady state conditions ( f T <subscript>>MIC</subscript> ). These simulations indicated that the current dosage regimen of 1 g for 30 min infusions every 8 h achieved a 90% probability of target attainment (PTA) for 40% f T <subscript>>MIC</subscript> when the MIC was <2 mg/L. However, to achieve more stringent therapeutic targets, such as a 90%PTA for 100% f T <subscript>>MIC</subscript> or a 90%PTA for 100% f T <subscript>>4MIC</subscript> , higher doses administered as 3 h extended infusions or as continuous infusions may be necessary. These results highlight the need for model-informed precision dosing to enhance the efficacy of meropenem therapy across various MIC levels and therapeutic targets.

Details

Language :
English
ISSN :
2079-6382
Volume :
13
Issue :
9
Database :
MEDLINE
Journal :
Antibiotics (Basel, Switzerland)
Publication Type :
Academic Journal
Accession number :
39335022
Full Text :
https://doi.org/10.3390/antibiotics13090849