Pavel:
I am glad someone informed you of the ALAG option for handling your problem.  
My colleague w...@buffalo.edu<mailto:w...@buffalo.edu> and his associates have 
published on the general aspects of time delay differential equations, of which 
yours is a particular example.  Although Jacob Ribbing has already discussed as 
to whether or not using AUC for driving efficacy is appropriate from a 
mechanistic stand-point, and Leonid Gibiansky has offered another way of 
looking at the problem, it is nonetheless worthwhile to present to the nmusers 
audience an example of how to use the ALAG option for your particular case, 
from which they may generalize for use of other time delay problems.

In the following simple absorption model example developed by me and Alison 
Boeckmann for illustration purposes, compartments 1, 2, and 3 are the "real 
time" depot, central, auc,
and  compartments  4,5,6 are the "delayed time" depot, central, auc. So, the 
base model (non-time delay) system (compartments 1,2,3) is replicated  
(compartments 4,5,6) for the time delay portion.  In addition, the data set 
duplicates the dose information of compartment 1 into compartment 4, and 
setting ALAG4 to a non-zero value in the control stream file provides a lag 
time to any doses inputted into compartment 4 (so this would take care of 
multiple dose problems as well).  This allows for assessment and availability 
of AUC(t) and AUCT(t-time-delay) at any time t.  The comments explain the 
meaning of each compartment.

$PROB TEST AUC DELAY
$INPUT ID TIME AMT CMT DV
$DATA DELAYDATA IGNORE=@
$SUBR ADVAN6 TOL=5
$MODEL
COMP=(DEPOT) COMP=(CENTRAL) COMP=(AUC)
COMP=(D_DEPOT) COMP=(D_CENTR) COMP=(D_AUC)
COMP=(AUCDIFF)
$PK
TDY=THETA(1)*EXP(ETA(1))
ALAG4=TDY

KA=THETA(2)*EXP(ETA(2))
KE=THETA(3)*EXP(ETA(3))
$DES
DADT(1)=-KA*A(1)
DADT(2)= KA*A(1)-KE*A(2) ; C(T)
DADT(3)= A(2)  ; AUC(T)
DADT(4)=-KA*A(4)
DADT(5)= KA*A(4)-KE*A(5) ; C(T-TDY)
DADT(6)= A(5)  ; AUC(T-TDY)
DADT(7)= A(2)-A(5) ; AUC(T-TDY)

$ERROR
A1=A(1)
A2=A(2)
A3=A(3)
A4=A(4)
A5=A(5)
A6=A(6)
A7=A(7)
DAUC=A(3)-A(6) ; AUC(T)-AUC(T-TDY)
Y=F+EPS(1)
$THETA 3
$THETA 1 2
$OMEGA 1 1 1
$SIGMA 1
$TABLE ID TIME A1 A2 A3 A4 A5 A6 A7 DAUC NOAPPEND NOPRINT FILE=aucdelay.tbl 
FORMAT=sF8.3

And the example data set:
ID TIME AMT   CMT    DV
1  0    100    1      .
1  0    100    4      .
1  1      .    2      .
1  2      .    2      .
1  3      .    2      .
1  4      .    2      .
1  5      .    2      .
1  6      .    2      .
1  7      .    2      .
1  8      .    2      .
1  9      .    2      .
1  10     .    2      .
1  11     .    2      .
1  12     .    2      .
1  13     .    2      .
1  14     .    2      .
1  15     .    2      .


Robert J. Bauer, Ph.D.
Vice President, Pharmacometrics, R&D
ICON Development Solutions
7740 Milestone Parkway
Suite 150
Hanover, MD 21076
Tel: (215) 616-6428
Mob: (925) 286-0769
Email: robert.ba...@iconplc.com<mailto:robert.ba...@iconplc.com>
Web: www.iconplc.com<http://www.iconplc.com/>

From: owner-nmus...@globomaxnm.com [mailto:owner-nmus...@globomaxnm.com] On 
Behalf Of Pavel Belo
Sent: Tuesday, January 14, 2014 1:45 PM
To: Bauer, Robert
Cc: nmusers@globomaxnm.com
Subject: [NMusers] backward integration from t-a to t

Dear Robert,

Efficacy is frequently considered a function of AUC.  (AUC is just an integral. 
It is obvious how to calculate AUC any software which can solve ODE.)  A 
disadvantage of this model of efficacy is that the effect is irreversable 
because AUC of concentration can only increase; it cannot decrease.  In many 
cases, a more meaningful model is a model where AUC is calculated form time t 
-a to t (kind of "moving average"), where t is time in the system of 
differential equations (variable T in NONMEM).   There are 2 obvious ways to 
calculate AUC(t-a, t).  The first is to do backward integration, which looks 
like a hard and resource consuming way for NONMEM.  The second one is to keep 
in memory AUC for all time points used during the integration and calculate 
AUC(t-a,t) as AUC(t) - AUC(t-a), there AUC(t-a) can be interpolated using two 
closest time points below and above t-a.

Is there a way to access AUC for the past time points (<t) from the integration 
routine? It seems like an easy thing to do.

Kind regards,
Pavel
<br /><br />
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