G. Suarez-kurtz et al., Limited-sampling strategy models for estimating the area under the plasma concentration-time curve for amlodipine, EUR J CL PH, 55(9), 1999, pp. 651-657
Objective: Develop and validate limited-sampling strategy (LSS) models for
estimating the area under the plasma concentration versus time curve (AUC)
of amlodipine, using data from a bioequivalence study.
Methods: Sixteen healthy volunteers received single 5-mg oral doses of amlo
dipine, as reference or test formulation, at a 14-day interval, in a random
ized, crossover protocol. Plasma concentrations of amlodipine (n = 288), me
asured by mass spectrometry, were used to develop LSS models.
Results: Linear regression analysis of the AUC(0-72) and a "jack-knife" val
idation procedure revealed that LSS models based on two sampling times (12
h and 48 h) predict accurately (R-2 = 0.99; bias <0.01%; precision = 0.03%)
the AUC(0-72) Of amlodipine for each formulation. Validation tests indicat
e that the 2-point LSS model developed for the reference formulation predic
ts accurately (R-2>0.90): (a) the individual AUC(0-72) for the test formula
tion in the same group of volunteers; (b) the individual AUC(0-72) for the
same reference formulation in another bioequivalence study in Brazilian vol
unteers; (c) the average AUC(0-72) reported in seven additional internation
al studies performed under protocols similar to the present investigation;
(d) the individual AUC(0-72) corresponding to concentration data points pro
vided by a first-order compartmental pharmacokinetic model, when the relati
ve values of either the absorption rate (K-abs) Or the bioavailability (F)
model parameters were set at 0.85 or 0.6, of their respective original valu
es.
Conclusions: The 2-point LSS models developed in the current study predict
accurately the AUC of amlodipine under a variety of experimental conditions
and, thus, may be valuable for exploring the relationships between the pha
rmacokinetics and pharmacodynamics of this calcium antagonist, at reduced c
osts of sample acquisition and analysis, and avoiding sampling at "unsociab
le" hours.