and is analogous to the ‘plasma disappearance’
curve (above):
XIV¼DIVeKtThe amount of drug in a single hypothetical com-
partment after an extravascular dose is then mod-
eled with first-order input/output kinetics:
Xpo¼KaFDpo
KaK½eKðttlagÞeKaðttlagÞConcentration–time effect modeling is illustrated
by the following example, which was chosen to
illustrate a single dose of drug causing the reversal
of a symptom (pain). Many other types of examples
exist.
The plasma kinetics of the analgesic were
describable by the following expression after the
intravenous bolus dose, with C 0 ¼ 45 :0 and
K¼ 0 :50 h^1 :
C¼ 45 :0e^0 :^50 tIn the same study, effect measurements were
recorded during 80 min, as shown in Figure 8.5.
Often, drug effects do not parallel changes in
plasma concentration. This can result from distri-
bution phenomena, such as when the effect occurs
outside the plasma compartment (e.g. the sedative
effect of a dose of benzodiazepine which occurs in
the brain), or when the effect recorded reflects, for
example, a chain of biochemical events triggered
by the presence of drug (e.g. the aborting of a
migraine attack by a serotoninergic drug). In rela-
tion to the first of these possibilities, a model,
sometimes called a ‘link model’ (also called the
‘effect-compartment’ or the ‘effect-distribution’
model), allows estimation of thein vivopharma-
codynamic effect from nonsteady-state effect (E)
versus time and concentration (C) versus time data,
within which potential exists for observedEandC
to display temporal displacement with respect to
each other (Segre, 1968; Wagner, 1968; Dahlstrom
et al., 1978; Sheineret al., 1979). The rate of
change of drug amount (Ae) in a hypothetical effect
compartment can be expressed as:dAe
dt¼kleA 1 ke0AewhereAis the amount of drug in the central com-
partment of a pharmacokinetic model, linked to the
effect compartment, with first-order rate constants
k1eandke0. The corresponding expression for the
amount of drug in the effect compartment, for a0.0
0 10 20 30 40 50 60 70 800.51.01.52.02.53.03.54.04.5Time (h)ResponseFigure 8.5 Observed effect-time data for an analgesic92 CH8 PHASE I: THE FIRST OPPORTUNITY FOR EXTRAPOLATION FROM ANIMAL DATA