NONMEM Modeling of Plasma + Urine Data
From: "Abouel Leil, Tarek M. Ph.D." AbouelLeil.Tarek@mayo.edu
Subject: [NMusers] NONMEM Modeling of Plasma + Urine Data
Date: Tue, 21 Nov 2006 09:37:00 -0600
Hello,
I am trying to simultaneously model the PK of a drug and its metabolite using NONMEM.
I have plasma observations for the parent compound (17-AAG) and the metabolite (17-AG).
I also have 24hr urine collection data for both compounds. When I tried to model this
using ADVAN7 in NONMEM, it stops almost immediately with the following error:
MONITORING OF SEARCH:
0PRED EXIT CODE = 1
0INDIVIDUAL NO. 1 ID=0.10100000E+03 (WITHIN-INDIVIDUAL) DATA REC NO. 4
THETA=
1.43E+04 2.42E+04 8.44E+04 8.96E+04 1.24E+04 2.13E+04 5.00E+04
NUMERICAL DIFFICULTIES OBTAINING THE SOLUTION.
THE COEFFICIENT MATRIX IS ALGORITHMICALLY SINGULAR.
0PROGRAM TERMINATED BY OBJ
MESSAGE ISSUED FROM ESTIMATION STEP
AT INITIAL OBJ. FUNCTION EVALUATION
1THERE ARE ERROR MESSAGES IN FILE PRDERR
2006.11.20.1820.57
Here is the NONMEM control stream that I am using:
$INPUT ID AMT EVID RATE TIME DV UVOL CMT BW BSA SEX AGE CRCL BR AP AST DOSE
$DATA ..\data.dta IGNORE=#
$SUBROUTINE ADVAN7
$MODEL
COMP=(CENTRAL, DEFDOSE, DEFOBS)
COMP=PERIPH
COMP=METAB
COMP=("URINE", NODOSE, INITIALOFF)
COMP=("METABUR", NODOSE, INITIALOFF)
$PK
TVCL = THETA(1)
CL = TVCL*EXP(ETA(1))
TVV = THETA(2)
V = TVV * EXP(ETA(2))
K14 = CL/V
S1 = V
TVQ = THETA(3)
Q = TVQ * EXP(ETA(3))
TVV2 = THETA(4)
V2 = TVV2 * EXP(ETA(4))
K12 = Q/V
K21 = Q/V2
TVCLM = THETA(5)
CLM = TVCLM * EXP(ETA(5))
K13 = CLM/V
TVCLMO = THETA(6)
CLMO = TVCLMO * EXP(ETA(6))
TVV3 = THETA(7)
V3 = TVV3 * EXP(ETA(7))
K35 = CLMO/V3
S3 = V3
S0=UVOL
$ERROR
ASY1=0
IF (CMT.EQ.1) ASY1=1
ASY2=0
IF (CMT.EQ.3) ASY2=1
ASY3=0
IF (CMT.EQ.4) ASY3=1
IPRED = F
W = 1
IF (F.EQ.0) W=1
IRES = DV-IPRED
IWRES = IRES/W
Y=IPRED+ASY1*ERR(1)+ASY2*ERR(2)+ASY3*ERR(3)+(1-ASY1)*(1-ASY2)*(1-ASY3)*ERR(4)
$THETA (0,14300.,) ; TVCL
$THETA (0,24200.,) ; TVV
$THETA (0,84400.,) ; TVQ
$THETA (0,89600.,) ; TVV2
$THETA (0,12400.,) ; TVCLM
$THETA (0,21300.,) ; TVCLMO
$THETA (0,50000.,) ; TVV3
$OMEGA 0.25 ; ETATVCL
$OMEGA 0.25 ; ETATVV
$OMEGA 0.25 ; ETATVQ
$OMEGA 0.25 ; ETATVV2
$OMEGA 0.25 ; ETATVCLM
$OMEGA 0.25 ; ETATVCLMO
$OMEGA 0.25 ; ETATVV3
$SIGMA 100 ; ERRSD17AAG
$SIGMA 100 ; ERRSD17AG
$SIGMA 100 ; ERRSD17AAG URINE
$SIGMA 100 ; ERRSD17AG URINE
$EST METH=0 MAXEVAL=9999 NOABORT POSTHOC PRINT=5 SIGDIGITS=5
$COVARIANCE
The data file looks like this:
#ID AMT EVID RATE TIME DV UVOL CMT
101 31500000 1 31500000 0 0 0 1
101 0 2 0 0 0 0 4
101 0 2 0 0 0 0 5
101 0 0 0 0.5 20 0 3
101 0 0 0 0.5 231 0 1
101 0 0 0 0.92 51 0 3
101 0 0 0 0.92 300 0 1
101 0 0 0 1.08 47 0 3
101 0 0 0 1.08 146 0 1
101 0 0 0 1.25 40 0 3
101 0 0 0 1.25 109 0 1
101 0 0 0 1.5 55 0 3
101 0 0 0 1.5 121 0 1
101 0 0 0 2 42 0 3
101 0 0 0 2 119 0 1
101 0 0 0 3 25 0 3
101 0 0 0 3 75 0 1
101 0 0 0 5 17 0 3
101 0 0 0 5 25 0 1
101 0 0 0 9 0 0 1
101 0 0 0 9 0 0 3
101 0 0 0 17 0 0 1
101 0 0 0 17 0 0 3
101 0 0 0 24 1993.956 904 -4
101 0 0 0 24 609.6032 904 -5
I was able to model the above data without urine observations, so I feel there must be
something wrong with the way I am coding the urine compartments. I would really
appreciate any advice.
Thanks,
Tarek A. Leil, Ph.D.
Department of Oncology, Guggenheim 1311
Mayo Clinic
200 First Street SW
Rochester, MN 55905
ph: 507-538-4227
fax: 507-266-5146
pgr: 08189