RE: PD modelling problem - Emax at lower bound?
Dear Ann,
I would recommend you to investigate the possibility to model the BIS and
propofol data using a two-effect site model instead of just a single effect
site model. We presented a two-effect site model for BIS and propofol at PAGE
this year (Reference: PAGE 18 (2009) Abstr 1590
[www.page-meeting.org/?abstract=1590]). This approach gave substantially better
predictions than just using a single effect site model.
Best regards,
Ulrika Simonsson
Assoc Prof
The Pharmacometrics Research Group
Uppsala University, Sweden
Quoted reply history
-----Original Message-----
From: [email protected] [mailto:[email protected]] On
Behalf Of Leonid Gibiansky
Sent: den 2 oktober 2009 16:11
To: Ann Rigby-Jones
Cc: '[email protected]'
Subject: Re: [NMusers] PD modelling problem - Emax at lower bound?
Ann,
When you do sequential PK-PD, do not touch PK portion, it should be
fixed. Thus, this is the PK:
DADT(1)=A(2)*K21+A(3)*K31-A(1)*(K10+K12+K13)
DADT(2)=A(1)*K12-A(2)*K21
DADT(3)=A(1)*K13-A(3)*K31
This is propofol concentration:
C=A(1)/V1
This is effect compartment:
DADT(4)=KE0*(C-A(4))
This is EFF model:
CONG=0
IF(C.GT.0) CONG=C**GAM
EFF=E0+(EMAX-E0)*CONG/(C50**GAM+CONG); SIGMOID EMAX MODEL
Now, the main problem, Y should be 100 minus effect, not the effect,
that is why your EMAX tries to be negative. BIS vary from 0 to 100 with
100 being the baseline.
Y=100-EFF + ERR(1)
Initial conditions should be something like
(0,50,100) ;EMAX
(0, 2, 100) ;E0
Let me know of you have problem with this code, it should work.
Leonid
--------------------------------------
Leonid Gibiansky, Ph.D.
President, QuantPharm LLC
web: www.quantpharm.com
e-mail: LGibiansky at quantpharm.com
tel: (301) 767 5566
Ann Rigby-Jones wrote:
> Dear NONMEM Users
>
> I’m struggling with a pharmacodynamic model for the intravenous anaesthetic,
> propofol and I would really appreciate some opinions on what might be going
> wrong. I have taken a sequential approach to the PK-PD modelling. PK are
> described using a 3 compartment mamillary model. Bispectral Index (BIS), an
> EEG derivative, was used as an effect measure. Drug was administered
> intravenously (2mg/kg propofol over 1 minute) to healthy volunteers (n=6).
> BIS was recorded every 15 seconds prior to drug administration and for about
> an hour afterwards. BIS has a value of around 100 in an awake individual,
> while a value of 40-60 indicates anaesthesia.
>
> The data are pretty clean so I don’t understand why I’m having such
> difficulty. I’ve modelled much noisier data generated with a second
> sedative-hypnotic drug from this same group of patients (cross-over study)
> with fewer problems. However, for this data set I have yet to produce a
> single run that minimises successfully without it having a final estimate at
> the lower boundary for Emax (doesn’t seem to matter how low I set the
> boundary). The observed Emax is pretty low so an estimate of 20-30 wouldn’t
> be too unrealistic but if I set a lower bound of -10 (NB this was just to
> prove the problem, I wouldn’t ordinarily set a negative bound), NONMEM is
> happy to minimise with an Emax value of -9.9. I’m using NONMEM 6 v2, FOCE,
> additive error. I’ve tried additive, constant CV and log error models (with
> transformed data), same problem with all.
>
> When I model data from each subject individually, all but one (5/6) also
> minimises at the lower bound for Emax so I don’t think data from anyone one
> individual is causing the problem. I’ve checked for gross errors (dosing, PK
> parameters). I’ve tried running with FO and the result of that is that
> estimates for Emax sit on the upper boundary, rather than the lower one and
> the models are strongly over-predicting.
>
> Really hoping that I’ve not overlooked something very obvious here :-S I’ve
> attached an example control stream but not the data due to limitation on the
> size this e-mail could be (very happy to e-mail the data directly to anyone
> who is interested in taking a look at it).
>
> With all best wishes and very many thanks! :-)
>
> Ann
> _______________________________________________________________________
> Ann Rigby-Jones PhD MRSC
> Research Fellow in Pharmacokinetics & Pharmacodynamics
>
> Peninsula College of Medicine & Dentistry
> Plymouth, UK
> _______________________________________________________________________
>
> $PROB propofol PD
> $INPUT ID PER TIME DV AMT RATE EVID V1 K10 K12 K21 K13 K31
> $DATA BIS_Step_3_Propofol_smth.CSV IGNORE=#
> $SUBROUTINES ADVAN6 TOL=3
> $MODEL
> COMP(CENTRAL, DEFDOSE, DEFOBS)
> COMP(PERIPH1)
> COMP(PERIPH2)
> COMP(EFFECT)
>
> $PK
>
> EMAX=THETA(1)*EXP(ETA(1)) ; maximum response
> E0=THETA(2)*EXP(ETA(2)) ; baseline
> C50=THETA(3)*EXP(ETA(3)) ; concentration associated with 50% peak effect
> GAM=THETA(4)*EXP(ETA(4)) ; gamma
> K41=THETA(5)*EXP(ETA(5)) ;ke0
>
>
> V4=0.00001
> K14=V4*K41/V1
>
> $DES
> DADT(1)=A(2)*K21+A(3)*K31+K41*A(4)-A(1)*(K10+K12+K13+K14)
> DADT(2)=A(1)*K12-A(2)*K21
> DADT(3)=A(1)*K13-A(3)*K31
> DADT(4)=A(1)*K14-A(4)*K41
>
> $ERROR
> CON=A(4)/V4
> IF (CON.EQ.0) CON=0.0000001
>
> TY=E0+(EMAX-E0)*(CON**GAM)/(C50**GAM+CON**GAM); SIGMOID EMAX MODEL
>
> Y=TY + ERR(1)
> W=TY
> IPRED=TY
> ;IF(IPRED.LT.0.1) IPRED=0.1
> IRES=DV-IPRED
> IWRES=IRES/W
>
>
> $THETA
> (15,45,60) ;EMAX
> (90, 98, 100 ) ;E0
> (1000,2500, 8000) ;C50
> (1,4, 10) ;GAMMA
> (0.0001,0.2, 3) ;K41(KE0)
>
> $SIGMA (15)
>
> $OMEGA (0 FIX) ;EMAX
> $OMEGA (0 FIX) ;E0
> $OMEGA (0.01) ;C50
> $OMEGA (0 FIX) ;Gamma
> $OMEGA (0.01) ;KeO
>
> $ESTIMATION METHOD=1 NOABORT MAXEVAL=9999 PRINT=5 SIGDIG=3
> ;POSTHOC;INTERACTION
> $COV PRINT=E
> $TABLE ID TIME DV RES WRES IWRES IRES PRED IPRED EVID
> ONEHEADER NOPRINT FILE=sdtab100
> $TABLE ID C50 K41 EMAX E0 GAM
> ONEHEADER NOPRINT FILE=patab100
>