and is analogous to the ‘plasma disappearance’
curve (above):
XIV¼DIVeKt
The amount of drug in a single hypothetical com-
partment after an extravascular dose is then mod-
eled with first-order input/output kinetics:
Xpo¼
KaFDpo
KaK
½eKðttlagÞeKaðttlagÞ
Concentration–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 t
In 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
dt
¼kleA 1 ke0Ae
whereAis 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 a
0.0
0 10 20 30 40 50 60 70 80
0.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
4.5
Time (h)
Response
Figure 8.5 Observed effect-time data for an analgesic
92 CH8 PHASE I: THE FIRST OPPORTUNITY FOR EXTRAPOLATION FROM ANIMAL DATA