Journal article

A Bayesian approach for estimating detection times in horses: exploring the pharmacokinetics of a urinary acepromazine metabolite.

JM McGree, G Noble, F Schneiders, AJ Dunstan, AR McKinney, R Boston, M Sillence

J Vet Pharmacol Ther | Published : 2013


We describe the population pharmacokinetics of an acepromazine (ACP) metabolite (2-(1-hydroxyethyl)promazine) (HEPS) in horses for the estimation of likely detection times in plasma and urine. ACP (30 mg) was administered to 12 horses, and blood and urine samples were taken at frequent intervals for chemical analysis. A bayesian hierarchical model was fitted to describe concentration-time data and cumulative urine amounts for HEPS. The metabolite HEPS was modelled separately from the parent ACP as the half-life of the parent was considerably less than that of the metabolite. The clearance (Cl/F(PM)) and volume of distribution (V/F(PM)), scaled by the fraction of parent converted to metabolit..

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University of Melbourne Researchers