title: Bioimpedance assessment of antipyrine pharmacokinetics before and after enzyme induction.
abstract: Bioimpedance (BI) technology, a noninvasive method of measuring body composition, has been previously used to develop a predictive model for metabolic clearance under basal conditions. The present investigation was conducted to assess the ability of BI-derived models to predict drug disposition in a perturbed system. An antipyrine pharmacokinetic and impedance analysis of 15 healthy male subjects was performed before and on the 14th day of phenobarbital administration (i.e., after enzyme induction). The all subsets multiple regression technique was used to develop preinduction models for clearance (CI), (p = 0.021, R2 = 0.654) and volume of distribution at steady-state (Vdss) (p = 0.001, R2 = 0.867), using demographic and mean BI parameters. The preinduction Cl model significantly underestimated postinduction measurements and was not predictive of changes in Cl. The preinduction Vdss model was predictive of postinduction Vdss. It appears that the BI-derived model is unable to predict perturbations in metabolic clearance caused by enzyme induction.
authors.affiliation: Henry Ford Hospital, Detroit, MI 48202.
authors.forename: A M
authors.initials: AM
authors.lastname: Pilla
authors.forename: B J
authors.initials: BJ
authors.lastname: Zarowitz
authors.forename: C K
authors.initials: CK
authors.lastname: Svensson
authors.forename: E L
authors.initials: EL
authors.lastname: Peterson
authors.forename: J
authors.initials: J
authors.lastname: Popovich
mesh_terms: D000328:Adult; D000983:Antipyrine / Q000493:pharmacokinetics*; D001823:Body Composition; D001835:Body Weight; D004553:Electric Conductivity; D004790:Enzyme Induction / Q000187:drug effects; D006801:Humans; D008297:Male; D008862:Microsomes, Liver / Q000378:metabolism; D008954:Models, Biological; D010084:Oxidation-Reduction; D010634:Phenobarbital / Q000494:pharmacology; D012044:Regression Analysis
chemical_list: D000983:Antipyrine; D010634:Phenobarbital