Data File

3 messages 3 people Latest: Sep 26, 2007

Data File

From: Ganesh Mugundu Date: September 26, 2007 technical
Dear all, I am trying to develop a model for a drug that was administered in multiple doses to outpatient paediatric patients. Blood samples were collected after the last dose and most of the patients have a concentration at 0hr time point. The drug follows a one compartment model and has a short halflife. I am not sure how to incorporate the previous dose to reflect the 0hr concentration. I would highly appreciate if you could help me in setting up the data file . Data of a patient after 9 doses of the drug at 6 hourly interval. ID TIME DV AMT DOSE MDV ADDL II 1 0 0 179.4 179.4 1 9 6 1 0 0.5 0 179.4 0 0 0 1 0.35 10.1 0 179.4 0 0 0 1 0.68 12.1 0 179.4 0 0 0 1 1 12.2 0 179.4 0 0 0 1 1.5 8.9 0 179.4 0 0 0 1 2 7.2 0 179.4 0 0 0 1 4 3.6 0 179.4 0 0 0 1 6 2.1 0 179.4 0 0 0 1 8 2.2 0 179.4 0 0 0 Thanks Ganesh Mugundu

Re: Data File

From: Alison Boeckmann Date: September 26, 2007 technical
I suggest that you look at NONMEM Users Guide VIII, EXOGENOUS SUPPLEMENTATION EXAMPLE >From the example: A fragment of the data follows. Record 1 specifies the SS infusion for the pre-existing drug, which ends at time 0. Record 2 gives the baseline observation. Note also the use of R1 in the $PK block. On Wed, 26 Sep 2007 16:14:36 -0400 (EDT), "Ganesh Mugundu" <[EMAIL PROTECTED]> said: > Dear all, > > I am trying to develop a model for a drug that was administered in > multiple doses to outpatient paediatric patients. Blood samples were > collected after the last dose and most of the patients have a > concentration at 0hr time point. The drug follows a one compartment model > and has a short halflife. I am not sure how to incorporate the previous > dose to reflect the 0hr concentration. I would highly appreciate if you > could help me in setting up the data file . > > Data of a patient after 9 doses of the drug at 6 hourly interval. > > ID TIME DV AMT DOSE MDV ADDL II > 1 0 0 179.4 179.4 1 9 6 > 1 0 0.5 0 179.4 0 0 0 > 1 0.35 10.1 0 179.4 0 0 0 > 1 0.68 12.1 0 179.4 0 0 0 > 1 1 12.2 0 179.4 0 0 0 > 1 1.5 8.9 0 179.4 0 0 0 > 1 2 7.2 0 179.4 0 0 0 > 1 4 3.6 0 179.4 0 0 0 > 1 6 2.1 0 179.4 0 0 0 > 1 8 2.2 0 179.4 0 0 0 > > Thanks > Ganesh Mugundu > -- Alison Boeckmann [EMAIL PROTECTED]

Re: Data File

From: Leonid Gibiansky Date: September 26, 2007 technical
If you do not have times of the previous doses, assume steady state: > ID TIME DV AMT DOSE MDV SS II > 1 0 0 179.4 179.4 1 1 6 > 1 0 0.5 0 179.4 0 0 0 > 1 0.35 10.1 0 179.4 0 0 0 > 1 0.68 12.1 0 179.4 0 0 0 > 1 1 12.2 0 179.4 0 0 0 > 1 1.5 8.9 0 179.4 0 0 0 > 1 2 7.2 0 179.4 0 0 0 > 1 4 3.6 0 179.4 0 0 0 > 1 6 2.1 0 179.4 0 0 0 > 1 8 2.2 0 179.4 0 0 0 If you know the time of the previous dose, assume that dose at steady state, set time zero at the time of that dose, and add the last dose: > ID TIME DV AMT DOSE MDV SS II > 1 0 0 179.4 179.4 1 1 6 > 1 6 0 179.4 179.4 1 0 0 > 1 6 0.5 0 179.4 0 0 0 > 1 6.35 10.1 0 179.4 0 0 0 > 1 6.68 12.1 0 179.4 0 0 0 > 1 7 12.2 0 179.4 0 0 0 > 1 7.5 8.9 0 179.4 0 0 0 > 1 8 7.2 0 179.4 0 0 0 > 1 10 3.6 0 179.4 0 0 0 > 1 12 2.1 0 179.4 0 0 0 > 1 14 2.2 0 179.4 0 0 0 If the interval between two last doses is exactly II=6, then both variants are equally good; otherwise, the second one could be a little better Leonid ------------------- Leonid Gibiansky President QuantPharm LLC www.quantpharm.com Ganesh Mugundu wrote: > Dear all, > > I am trying to develop a model for a drug that was administered in multiple > doses to outpatient paediatric patients. Blood samples were collected after the > last dose and most of the patients have a concentration at 0hr time point. The > drug follows a one compartment model and has a short halflife. I am not sure > how to incorporate the previous dose to reflect the 0hr concentration. I would > highly appreciate if you could help me in setting up the data file . > > Data of a patient after 9 doses of the drug at 6 hourly interval. > > ID TIME DV AMT DOSE MDV ADDL II > 1 0 0 179.4 179.4 1 9 6 > 1 0 0.5 0 179.4 0 0 0 > 1 0.35 10.1 0 179.4 0 0 0 > 1 0.68 12.1 0 179.4 0 0 0 > 1 1 12.2 0 179.4 0 0 0 > 1 1.5 8.9 0 179.4 0 0 0 > 1 2 7.2 0 179.4 0 0 0 > 1 4 3.6 0 179.4 0 0 0 > 1 6 2.1 0 179.4 0 0 0 > 1 8 2.2 0 179.4 0 0 0 > > Thanks > Ganesh Mugundu