Population pharmacokinetic and pharmacodynamic modeling of transformed binary effect data of triflusal in healthy Korean male volunteers: a randomized, open-label, multiple dose, crossover study

Title
Population pharmacokinetic and pharmacodynamic modeling of transformed binary effect data of triflusal in healthy Korean male volunteers: a randomized, open-label, multiple dose, crossover study
Author(s)
임미선박성민[박성민]이주미[이주미]성숙진[성숙진]박종광[박종광]권미리[권미리]이혜원 [이혜원 ]윤영란[윤영란]양동현[양동현]권광일[권광일]한승훈[한승훈]
Keywords
CEREBRAL INFARCTION; MAIN METABOLITE; ASPIRIN; SAFETY; DRUG; HTB
Issue Date
201412
Publisher
BIOMED CENTRAL LTD
Citation
BMC PHARMACOLOGY & TOXICOLOGY, v.15
Abstract
Background: Triflusal is a drug that inhibits platelet aggregation. In this study we investigated the dose-exposure response relationship of a triflusal formulation by population pharmacokinetic (PK) and pharmacodynamic (PD) modeling of its main active metabolite, hydroxy-4-(trifluoromethyl) benzoic acid (HTB). Methods: This study was a randomized, open-label, multiple-dose, two-period, two-treatment, comparative crossover design. All volunteers received a single oral loading dose of 900 mg of triflusal on Day 1, followed by a dose of 600 mg/day from Day 2 to 9. Using data from 34 healthy volunteers, 476 HTB plasma concentration data points and 340 platelet aggregation data points were used to construct PK and PD models respectively using NONMEM (version 6.2). As the PD endpoint was qualitative, we implemented binary analysis of 'inhibition' and 'non-inhibition' rather than using the actual value of the test. The final PK-PD model was evaluated using a visual predictive check (VPC) and bootstrap. Results: The time-concentration profile of HTB over the entire dosing period was described by a one-compartment model with a first-order formation rate constant for HTB. Weight was selected as a covariate for clearance and volume of triflusal, respectively. The structure and the population estimates for triflusal PK were as follows: oral clearance (CL/F) = 0.2 . (weight/71.65)(0.845) L/h, oral volume of distribution (V/F) = 8.3 . (weight/71.65) L, and k(f) = 0.341 h(-1). A sigmoid relationship between triflusal concentration and the probability of significant inhibition with shape factor was chosen as the final PD model. No time delay between concentration and response was identified. The final structure between predicted concentration (C-pred,ij(y)) and the probability of inhibition of platelet aggregation (IPA) relationship was as follows: Probability of IPA = C-pred,ij(19)/(84.9(19)mu g/mL + C-pred,ij(19)). Thus, we concluded this relationship is more like quantal concentration-response relationship. The current dosing regimen was considered to be efficacious based on the EC50 estimate of 84.9 mu g/mL obtained in this study. Conclusions: A PK and binary probability PD model of triflusal was successfully developed for Korean healthy volunteers. The model may be used to further prediction inhibition of platelet aggregation by triflusal.
URI
http://hdl.handle.net/YU.REPOSITORY/30376http://dx.doi.org/10.1186/2050-6511-15-75
ISSN
1471-2210
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약학대학 > 약학부 > Articles
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