Antwort: AUC Calculation in Simulation with and without EST

From: Nele . Plock Date: January 07, 2008 technical Source: mail-archive.com
Dear Paul, to avoid this, use your dataset, use the final estimated parameters and use $EST, but set MAXEVAL=0. This way, you can estimate all your IDs' AUCs simultaneously with the right parameters for each one. I always do this if I use ADVAN4 for estimation of parameters. Then if I want to compute AUC I use ADVAN 6 and add an AUC compartment. Below is a code that calculates CMAX, AUC, time above IC50 and AUC above IC50 for different times. Best wishes Nele $SUBROUTINES ADVAN6 TOL=3 $MODEL COMP=(GUT) COMP=(CENTRAL) COMP=(PERIPH) COMP=(TIMEOVER) COMP=(AUCOVER) COMP=(AUC) COMP=(TIMEOV2) COMP=(AUCOVER2) COMP=(AUC2) $PK "FIRST " COMMON /PRCOMG/ IDUM1,IDUM2,IMAX " INTEGER IDUM1,IDUM2,IMAX " IMAX=500000 ; TVCL=THETA(1) CL=TVCL ; TVV2=THETA(2) V2=TVV2 ; TVQ=THETA(3) Q=TVQ ; TVV3=THETA(4) V3=TVV3 ; TVKA=THETA(5) KA=TVKA TVF1=THETA(6) F1=TVF1*EXP(ETA(1)) S2=V2 K20=CL/V2 K23=Q/V2 K32=Q/V3 K12=KA $DES IF(TIME.EQ.0) THEN CMAX=0 TMAX=0 ENDIF CC=A(2)/V2 IF(CC.GT.CMAX) THEN CMAX= CC TMAX= T ENDIF IC50=0.0075 RT=0 IF(CC.GT.IC50) RT=1 DADT(1)=-KA*A(1) DADT(2)= KA*A(1)-K23*A(2)+K32*A(3)-K20*A(2) DADT(3)= K23*A(2)-K32*A(3) DADT(4)= RT ;time above IC50 IF (T.GT.24) DADT(4)=0 DADT(5)= RT*(CC-IC50) ;AUC over IC50 IF (T.GT.24) DADT(5)=0 DADT(6)= A(2)/V2 IF (T.GT.24) DADT(6)=0 DADT(7)=0 IF (T.GE.48) DADT(7)=RT DADT(8)=0 IF (T.GE.48) DADT(8)=RT*(CC-IC50) DADT(9)=0 IF (T.GE.48) DADT(9)=A(2)/V2 ; $ERROR IPRED=F DEL=0 IF (IPRED.EQ.0) DEL=0.0001 W=F IRES=DV-IPRED IWRES=IRES/(W+DEL) Y=F+SQRT(THETA(8)*THETA(8)+THETA(7)*THETA(7)*F**2)*EPS(1) CC2=A(2)/V2 TOI1=A(4) AOI1=A(5) AUC1=A(6) TOI2=A(7) AOI2=A(8) AUC2=A(9) ; $THETA ... ; $OMEGA ... ; $SIGMA 1 FIX ;prop.error ; $EST METHOD=1 INTERACTION MAXEVAL=0 PRINT=5 NOABORT MSFO=msf001 $TABLE ID TIME CL V2 V3 Q KA F1 CC2 TOI1 TOI2 AOI1 AOI2 AUC1 AUC2 CMAX NOPRINT ONEHEADER FILE=notab1 _________________________ Dr. Nele Plock Bayer Schering Pharma AG Drug Metabolism & Pharmacokinetics Development Pharmacokinetics Scientific Expert Development Pharmacokinetics D- 13342 Berlin Phone : +49-30-468 15146 Fax: +49-30-468 95146 [EMAIL PROTECTED] http://www.bayerscheringpharma.de Vorstand: Arthur J. Higgins, Vorsitzender | Werner Baumann, Andreas Busch, Ulrich Köstlin, Kemal Malik, Gunnar Riemann Vorsitzender des Aufsichtsrats: Werner Wenning Sitz der Gesellschaft: Berlin | Eintragung: Amtsgericht Charlottenburg 93 HRB 283 Paul Hutson <[EMAIL PROTECTED]> Gesendet von: [EMAIL PROTECTED] 07.01.2008 06:59 Bitte antworten an [EMAIL PROTECTED] An [email protected] Kopie Thema [NMusers] AUC Calculation in Simulation with and without EST I have data from PO, IP, and SQ(pump) infusions of this compound that I am modeling using 2-3 samples per mouse (30 critters worth), and the fits for a 1 cmpt are pretty good. In order to obtain a smooth plot to compare to the observed data, I have run N=1 simulations for a single "subject" (ID=1) using the bootstrapped parameters from all animals (each receiving drug via a single route). My question for the NMUSERS is this. When I just use $SIM without $EST, my AUC calculated by F1*AMT/CL is wildly different than the AUC I obtain by a quick trapezoidal check of my PRED column in the output file. When I use both $SIM and $EST as shown below, the integrated and trapezoidal AUCs agree. Why is there a difference? I presume that it is due to the use of a dummy value of "1" for DV throughout my initial data file, but I don't understand why. Thanks as always. (csv file follows ctl) (As always, any other suggestions to spruce up the code or my approach is appreciated.) Paul $PROBLEM CYCLOPAMIDE $INPUT ID TIME AMT RATE ADDL II PMP DV CMP RTE EVID $DATA ..\Lipinski_24PO.CSV IGNORE=# $SIMULATION (1111) $SUBROUTINES ADVAN2 TRANS2 $PK ALAG1=0 RTE1=0 RTE2=0 RTE3=0 IF(RTE.EQ.1) RTE1=1 IF(RTE.EQ.2) RTE2=1 IF(RTE.EQ.3) RTE3=1 F1=1 IF(RTE.EQ.1) F1=THETA(1); PO IF(RTE.EQ.2) F1=THETA(2); IP TVKA=THETA(3); GUT IF(RTE.EQ.2) TVKA=THETA(4); IP IF(RTE.EQ.3) TVKA=THETA(5); SQ PUMP CL=THETA(6)*EXP(ETA(1)); CL V=THETA(7)*EXP(ETA(2)); V KA=TVKA;*EXP(ETA(3)); ;IF(RTE.EQ.3) ALAG1=THETA(8)*EXP(ETA(4)) K=CL/V T12=0.693/K AUC=F1*AMT/CL TMAX=(LOG(KA)-LOG(K))/(KA-K) CMAX=(F1*AMT/V)*EXP(-K*TMAX) CAVE=F1*AMT/(CL*24) S2=V $ERROR IPRE = F W1=F DEL = 0 IF(IPRE.LT.0.001) DEL = 1 IRES = DV-IPRE; NEGATIVE TREND IS OVERESTIMATING IPRED WRT DV IWRE = IRES/(W1+DEL) Y=IPRE+EPS(1) $THETA 0.642; F1PO $THETA 1.267; F1IP $THETA 0.472; KAGUT $THETA 8.879; KAIP $THETA 4.564; KASQ $THETA 0.146; CL $THETA 0.289; V $OMEGA 0.313; ETACL $OMEGA 0.964; EtTAV $SIGMA 0.178; SIG1 $EST METH=1 INT NOABORT MAXEVAL=9999 POSTHOC $TABLE ID TIME AUC AMT K KA CL V F1 RTE ETA1 ETA2 NOPRINT ONEHEADER FILE=CycloSim.fit #AMT in micromoles,,,,,,,,,, #TIME in hours,,,,,,,,,, #DV in microMolar,,,,,,,,,, #COMP: 1 for PO_ 2 for blood_3 for IP_4 for SC,,,,,,,,,, #RTE: 1 for PO 2 for IP 3 for SQ Pump,,,,,,,,,, #ID,TIME,AMT,RATE,ADDL,II,DUR,DV,COMP,RTE,EVID 1,0,0.608,.,.,.,.,.,1,1,1 1,0.1,.,.,.,.,.,1,2,1,0 1,0.2,.,.,.,.,.,1,2,1,0 1,0.3,.,.,.,.,.,1,2,1,0 1,0.4,.,.,.,.,.,1,2,1,0 1,0.5,.,.,.,.,.,1,2,1,0 1,0.6,.,.,.,.,.,1,2,1,0 1,0.7,.,.,.,.,.,1,2,1,0 1,0.8,.,.,.,.,.,1,2,1,0 1,0.9,.,.,.,.,.,1,2,1,0 1,1,.,.,.,.,.,1,2,1,0 1,1.2,.,.,.,.,.,1,2,1,0 1,1.4,.,.,.,.,.,1,2,1,0 1,1.6,.,.,.,.,.,1,2,1,0 1,1.8,.,.,.,.,.,1,2,1,0 1,2,.,.,.,.,.,1,2,1,0 1,2.2,.,.,.,.,.,1,2,1,0 1,2.4,.,.,.,.,.,1,2,1,0 1,2.6,.,.,.,.,.,1,2,1,0 1,2.8,.,.,.,.,.,1,2,1,0 1,3,.,.,.,.,.,1,2,1,0 1,4,.,.,.,.,.,1,2,1,0 1,5,.,.,.,.,.,1,2,1,0 1,6,.,.,.,.,.,1,2,1,0 1,7,.,.,.,.,.,1,2,1,0 1,8,.,.,.,.,.,1,2,1,0 1,9,.,.,.,.,.,1,2,1,0 1,10,.,.,.,.,.,1,2,1,0 1,11,.,.,.,.,.,1,2,1,0 1,12,.,.,.,.,.,1,2,1,0 1,13,.,.,.,.,.,1,2,1,0 1,14,.,.,.,.,.,1,2,1,0 1,15,.,.,.,.,.,1,2,1,0 1,16,.,.,.,.,.,1,2,1,0 1,17,.,.,.,.,.,1,2,1,0 1,18,.,.,.,.,.,1,2,1,0 1,19,.,,,,,1,2,1,0 1,20,.,.,.,.,.,1,2,1,0 1,21,.,.,.,.,.,1,2,1,0 1,22,.,.,.,.,.,1,2,1,0 1,23,.,.,.,.,.,1,2,1,0 1,24,.,.,.,.,.,1,2,1,0 1,25,.,.,.,.,.,1,2,1,0 1,26,.,.,.,.,.,1,2,1,0 1,27,.,.,.,.,.,1,2,1,0 1,28,.,.,.,.,.,1,2,1,0 1,29,.,.,.,.,.,1,2,1,0 1,30,.,.,.,.,.,1,2,1,0 1,31,.,.,.,.,.,1,2,1,0 1,32,.,.,.,.,.,1,2,1,0 1,33,.,.,.,.,.,1,2,1,0 1,34,.,.,.,.,.,1,2,1,0 1,35,.,.,.,.,.,1,2,1,0 1,36,.,.,.,.,.,1,2,1,0 1,37,.,.,.,.,.,1,2,1,0 1,38,.,.,.,.,.,1,2,1,0 1,39,.,.,.,.,.,1,2,1,0 1,40,.,.,.,.,.,1,2,1,0 1,41,.,.,.,.,.,1,2,1,0 1,42,.,.,.,.,.,1,2,1,0 1,43,.,.,.,.,.,1,2,1,0 1,44,.,.,.,.,.,1,2,1,0 1,45,.,.,.,.,.,1,2,1,0 1,46,.,.,.,.,.,1,2,1,0 1,47,.,.,.,.,.,1,2,1,0 1,48,.,.,.,.,.,1,2,1,0 -- Paul R. Hutson, Pharm.D. Associate Professor UW School of Pharmacy 777 Highland Avenue Madison WI 53705-2222 Tel 608.263.2496 Fax 608.265.5421 Pager 608.265.7000, p7856