Estimation of pharmacokinetic parameters from non-compartmental variables using Microsoft Excel.
This study was conducted to develop a method, termed 'back analysis (BA)', for converting non-compartmental variables to compartment model dependent pharmacokinetic parameters for both one- and two-compartment models. A Microsoft Excel spreadsheet was implemented with the use of Solver and visual basic functions. The performance of the BA method in estimating pharmacokinetic parameter values was evaluated by comparing the parameter values obtained to a standard modelling software program, NONMEM, using simulated data. The results show that the BA method was reasonably precise and provided low bias in estimating fixed and random effect parameters for both one- and two-compartment models. The pharmacokinetic parameters estimated from the BA method were similar to those of NONMEM estimation.
Dansirikul
Chantaratsamon
C
School of Pharmacy, University of Queensland, St Lucia, QLD 4072, Australia. joy@pharmacy.uq.edu.au
Choi
Malcolm
M
Duffull
Stephen B
SB
D003198:Computer Simulation; D006801:Humans; D007166:Immunosuppressive Agents / Q000493:pharmacokinetics; D016030:Kidney Transplantation / Q000502:physiology; D008954:Models, Biological; D010599:Pharmacokinetics; D020123:Sirolimus / Q000493:pharmacokinetics; D012984:Software
D007166:Immunosuppressive Agents; D020123:Sirolimus