Pharmacodynamic evaluation of biapenem in peritoneal fluid using population pharmacokinetic modelling and Monte Carlo
Kazuro Ikawa1, Norifumi Morikawa, Kayo Ikeda
1Department of Clinical Pharmacotherapy, Graduate School of Biomedical Sciences, Hiroshima University, Minami-ku, Hiroshima, Japan. ikawak@hiroshima-u.ac.jp
Abstract:
This study evaluated the pharmacodynamics of biapenem in peritoneal fluid (PF). Biapenem (300 or 600mg) was administered via a 0.5-h infusion to 19 patients before abdominal surgery. Venous blood and PF samples were obtained after 0.5, 1, 2, 3, 4, 5 and 6h. Drug concentration data (108 plasma samples and 105 PF samples) were analysed using population pharmacokinetic modelling. A three-compartment model fits the data, with creatinine clearance (CL(Cr)) as the most significant covariate: CL (L/h)=0.036 x CL(Cr)+4.88, V1 (L)=6.95, Q2 (L/h)=2.05, V2 (L)=3.47, Q3 (L/h)=13.7 and V3 (L)=5.91, where CL is the clearance, Q2 and Q3 are the intercompartmental clearances, and V1, V2 and V3 are the volumes of distribution of the central, peripheral and peritoneal compartments, respectively. A Monte Carlo simulation using the pharmacokinetic model showed the probabilities of attaining the bactericidal exposure target (30% of the time above the minimum inhibitory concentration (T>MIC)) in PF were greater than or equal to those in plasma. In the cases of CL(Cr)=90 and 60mL/min, the site-specific pharmacodynamic-derived breakpoints (the highest MIC values at which the probabilities of target attainment in PF were >or=90%) were 2microg/mL for 300mg every 12h, 4microg/mL for biapenem 300mg every 8h (q8h) and 8microg/mL for 600mg q8h. Thus, these results should support the clinical use of biapenem as a treatment for intra-abdominal infections and facilitate the design of the dosing regimen.
Related Concept Videos
Analysis of Population Pharmacokinetic Data
Impact of Pharmacokinetic–Pharmacodynamic Models: Regulatory Decisions
Model Approaches for Pharmacokinetic Data: Compartment Models
Two primary types of compartment models are recognized: mammillary and catenary. The more...
Pharmacodynamic Models: Overview
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
Pharmacokinetic Models: Overview
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal assumptions,...


