r-138727 and Body-Weight

An integrated analysis of pharmacokinetic (PK) parameter estimates for prasugrel, from 16 phase I clinical pharmacology studies, consolidated exposure estimates from 506 healthy male and female participants and evaluated the effect of specific intrinsic and extrinsic factors on exposure to prasugrel's active metabolite (AM, R-138727). A linear mixed effect model was fitted with study and subject nested within study as random effects and subject factors as fixed effects. Prasugrel AM exposure was similar in males and females, in participants <65 years and ≥65 years, in smokers and nonsmokers, in drinkers and nondrinkers of alcohol, and in Asians, Caucasians, and participants of African and Hispanic descent. Prasugrel AM exposure increased as body weight decreased and was 40% higher in participants <60 kg than in participants ≥60 kg. Exposure in Asians was 40% higher than that in Caucasians, but this difference could be explained by the lower overall weight of the Asian participants and a disproportionately large difference between ethnic groups in lighter participants, especially those <60 kg. These results characterize prasugrel's PK across a range of studies and highlight body weight as the most influential covariate on prasugrel AM exposure, with implications for prasugrel maintenance dosing in clinical practice.

Topics: Acute Coronary Syndrome; Adolescent; Adult; Aged; Aged, 80 and over; Biotransformation; Body Weight; Female; Half-Life; Humans; Male; Middle Aged; Models, Biological; Piperazines; Platelet Aggregation Inhibitors; Prasugrel Hydrochloride; Prodrugs; Purinergic P2Y Receptor Antagonists; Receptors, Purinergic P2Y12; Thiophenes; Young Adult

Serial pharmacokinetic (PK) sampling in 1159 patients from TRITON-TIMI 38 was undertaken. A multilinear regression model was used to quantitatively predict prasugrel's active metabolite (Pras-AM) concentrations from its 2 downstream inactive metabolites. Population-based methods were then applied to Pras-AM concentration data to characterize the PK. The potential influence of body weight, body mass index, age, sex, renal function, diabetes, tobacco use, and other disease status on Bayesian estimates of Pras-AM exposures was assessed. The PK of Pras-AM was adequately described by a multicompartmental model and consistent with results from previous studies. The systemic exposure of prasugrel was not appreciably affected by body mass index, gender, diabetes, smoking, and renal impairment. Pras-AM mean exposure in patients weighing <60 kg (4.1%) was 30% (90% confidence interval [CI] 1.16-1.45) higher than exposure in patients > or =60 kg. Mean Pras-AM exposures for patients > or =75 years (10.5%) were 19% (90% CI: 1.11-1.28) higher compared with patients <75 years.

Topics: Adult; Age Factors; Aged; Aged, 80 and over; Body Weight; Clinical Trials, Phase III as Topic; Female; Humans; Linear Models; Male; Middle Aged; Models, Biological; Piperazines; Platelet Aggregation Inhibitors; Prasugrel Hydrochloride; Prodrugs; Randomized Controlled Trials as Topic; Thiophenes