Re: Questions about M3
Xiao Hu,
Please see comments inserted within your code examples below.
Regards,
Luann Phillips
Xiao Hu wrote:
> Dear NMusers,
>
> I'm seeking inputs/advice on some M3 related questions. Any comments and suggestions would be appreciated.
>
> I have some Phase 1 data on a drug, which I want to model with a M3 method. The LLQ is 10 and peak level is about 80 (it's a cytokine and can't ask assay people to do a better job).
>
> I'm using NONMEM 7, therefore, can use PHI function directly. Below you can see my initial code (Code 1). I first modeled SIG as a separate THETA(5). The estimated THETA(5) turned out to be 1.14E6. Therefore, all the PREDs=0.5 with TYPE==2. I had to admire NONMEM because it makes (LOQ-IPRE)/SIG close to zero and give me a politically golden answer (Prob=0.5) on my LLQ data.
>
> Since SIG represents the variance of F, in my second try, I set SIG=SD*SD and modeled log-tranformed data, because I'm using exponential model on the ERROR. The code is following the initial code (Code 2).
>
> Here's my questions.
>
> 1. Is code 2 a theoretically correct approach? How is SIG generally modeled based on your experience? 2. Currently, I only included one BLQ post Tmax. The rest were ignored (MDV=1). If I include one BLQ timepoint before Tmax, the model won't run. If I include every BLQ time points after Tmax, the model won't run. Is this acceptable? What's the general practice?
>
> 3. What are the diagnostic tools for BLQ from the M3 method?
>
> 4. If I model SIG using all the data, and fix it in the subsequent runs, which use the same code as Code 1 with SIG fixed, will this be acceptable?
>
> Code 1:
> $SUBROUTINES ADVAN2
> $PK
> MU_1=THETA(1)
> MU_2=THETA(2)
> MU_3=THETA(3)
> MU_4=THETA(4)
> SD=MU_4
> KA=EXP(MU_1+ETA(1))
> V=EXP(MU_2+ETA(2))
> CL=EXP(MU_3+ETA(3))
> K=CL/V
> S2=V/1000
> $ERROR
*******SIG = SD of variance which is defined as SD=MU_4 above
******* so I think you should have SIG=MU_4 or SIG=SD
******* instead of THETA(5)
******* Your code was using a separate estimate of variance for the
LOQ concentrations than for the > LOQ concentrations.
References show using the same variance for both types.
> SIG=THETA(5)
> LOQ=10
> IPRE=F
> IF(SIG==0) EXIT
*****I would move the calculations for DUM and CUMD inside the
IF statement for TYPE.EQ.2 to prevent unnecessary calculations.
****DUM = (LOQ-IPRE) / SQRT(Variance)
Since you are using a exponential error model which is equivalent
to the constant CV error model (Y=F+F*ERR) in NM, the SQRT(variance)
would be F*SIG so DUM=(LOQ-IPRE)/(F*SIG)
> DUM=(LOQ-IPRE)/SIG
> CUMD=PHI(DUM)
> IF(TYPE.EQ.1) THEN
> F_FLAG=0
> Y= F*EXP(SD*ERR(1))
> ENDIF
> IF(TYPE.EQ.2) THEN
> F_FLAG=1
> Y=CUMD
> ENDIF
> $THETA
> -1.868;[KA]
> 11.9 ;[V]
> 10;[CL]
>
> 0.523;[SD] 0.2
>
> $OMEGA
>
> 0.258 0.177
>
> 0.227
> $SIGMA
> 1 FIX
>
> $EST METHOD=COND LAP INTERACTION MAXEVAL=9999 PRINT=5 FILE=PK.M3.COND.ext
>
> Code 2
> $SUBROUTINES ADVAN2
> $PK
> MU_1=THETA(1)
> MU_2=THETA(2)
> MU_3=THETA(3)
> MU_4=THETA(4)
> SD=MU_4
> SIG=SD*SD
> KA=EXP(MU_1+ETA(1))
> V=EXP(MU_2+ETA(2))
> CL=EXP(MU_3+ETA(3))
> K=CL/V
> S2=V/1000; DOSE IN 1000 U, CONC in U, VOLUME IN mL
> $ERROR
> LOQ=LOG(10)
*****IF F=0 then LOG(F)= -Infinity so you probably don't want
to change IPRE=LOG(0) to 0. LOG(F)=0 corresponds to F=1.
You may want to try IPRE= -10 or -20 instead.
> IF(F==0) THEN
> IPRE=0
> ELSE
> IPRE=LOG(F)
> ENDIF
> IF(SIG==0) EXIT
*****In this case because the error model becomes additive,
DUM=(LOQ-IPRE)/SIG is correct.
> DUM=(LOQ-IPRE)/SIG
> CUMD=PHI(DUM)
> IF(TYPE.EQ.1) THEN
> F_FLAG=0
> Y= LOG(F)+SD*ERR(1)
> ENDIF
> IF(TYPE.EQ.2) THEN
> F_FLAG=1
> Y=CUMD
> ENDIF
> $THETA
> -1.868;[KA]
> 11.9 ;[V]
> 10;[CL]
>
> 0.523;[SD] $OMEGA 0.258 0.177
>
> 0.227
> $SIGMA
> 1 FIX
> $EST METHOD=COND LAP INTERACTION MAXEVAL=9999 PRINT=5 FILE=PK.LOG.COND.ext
>
> Sample Data for code 1:
> Sample Data for code 2:
>
> Best regards,
>
> Xiao Hu (Shelley), Ph.D.
> Scientist,
> Development Pharmacokinetics & Disposition
> Biogen Idec, Inc.
> 14 Cambridge Center
> Cambridge, MA 02142
> Phone: 617-679-3586
> Fax: 617-679-3463