I. Meineke et Ch. Gleiter, ASSESSMENT OF DRUG ACCUMULATION IN THE EVALUATION OF PHARMACOKINETIC DATA, Journal of clinical pharmacology, 38(8), 1998, pp. 680-684
The evaluation of drug accumulation is approached from a practical poi
nt of views. Estimates of accumulation indices as obtained from standa
rd estimators-AUC, peak levels, and trough levels (R-AUC, R-max, and R
-min, respectively)- -are compared and differences analyzed. The estim
ators are based on the concentration-time curve characteristics area u
nder the concentration-time curve (AUC), maximum concentration, and tr
ough level. Simulated data are used for the analysis, both noise-free
and with random error added. The data are based on pharmacokinetic par
ameters derived from a clinical study. The numerical procedures can be
reproduced by the interested reader with little effort. If is shown e
mpirically that if R-min > R-AUC then simple kinetic behavior cannot b
e safely assumed, bur accumulation is a complex function of time. R-ma
x as obtained from the data and all estimate of this value based on ti
me to peak concentration (t(max)) and apparent elimination rate consta
nt (lambda(z)) after a single dose and at steady state can then be com
pared in an attempt to exclude lime-dependent kinetics. This new numer
ical procedure can provide valuable and even pivotal information regar
ding the accumulation kinetics of a compound under investigation. Reco
mmendations on how to use the available concentration-time information
to the best advantage are presented. It is concluded that the assessm
ent of drug accumulation should not be confined to the calculation of
just one estimate, because the three estimators R-AUC, R-max, and R-mi
n reflect different aspects of accumulation. Moreover, all information
about accumulation should be carefully analyzed in the clinical conte
xt. This way the relevant accumulation can be identified for safe and
efficacious drug treatment. Journal of Clinical Pharmacology: 1998;38:
680-684 (C) 1998 The American College of Clinical Pharmacology.