Pharmacokinetics zero-order absorption rate

Km the first-order rate constant for metabolism of dmg or [in context] the Michaelis constant in non-linear pharmacokinetics Ko the zero-order elimination rate constant Mother the first-order rate constant for elimination of dmg by a process other than metabolism or renal excretion Kio for a two-compartment dmg, the first-order rate constant for elimination of dmg from the central compartment Ki2 for a two-compartment drug, the first-order rate constant for transfer from the central to the peripheral compartment K21 for a two-compartment drug, the first-order rate constant for transfer from the peripheral to the central compartment MAT mean absorption time mean residence time in the gastrointestinal tract synonymous with MRTgit... 

The principal parameter used to indicate the rate of drug absorption is Cmax, even though it is also influenced by the extent of absorption the observed fmaX is less reliable. Because of the uncertainty associated with Cmax, it has been suggested (Endrenyi Yan, 1993 Tozer, 1994) that Cmax/AUCo-loq/ where AUCo-loq is the area under the curve from time zero to the LOQ of the acceptable analytical method, may more reliably measure the rate of drug absorption, except when multiexponential decline is extensive. Estimation of the terms should be based on the observed (measured) plasma concentrationtime data and the use of non-compartmental methods rather than compart-mental pharmacokinetic models. MRTs, from time zero to the LOQ of the analytical method, for the test and reference products can be compared, assuming that first-order absorption and disposition of the drug apply (Jackson Chen, 1987). 

A new molecular entity exhibiting one-compartment pharmacokinetics with first-order absorption was assumed. The typical (mean) values of the population PK parameters for the NME were 1 h 17.5L/h, and SOL for absorption rate constant (Ka), apparent clearance (CLIP), and apparent volume of distribution (V/F), respectively. An intersubject variability of 45% (coefficient of variation) was assumed for each of these parameters, and this was assumed to be lognormally distributed with a mean of zero. A proportional error model was assumed for the residual error of 15%. 

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