Setting feeding status as covariate

2 messages 2 people Latest: May 24, 2012

Setting feeding status as covariate

From: Bo Zheng Date: May 23, 2012 technical
Hi all, My question is if feeding status can be used as covariate of Kt or TLag in delayed absorption model (transit or Tlag model) It is a food effect study (19patients, crossover, no meal, low fat and high fat). There are 19 patients x 3 feeding status x 6 time points = 342 observations. The data are not rich enough to run the basic transit or Tlag population model, and can not support estimating IOV either. But there are correlations between feeding status (setting no meal=1, low fat=2, high fat=3) and individually estimated Kt or Tlag. I found the delayed absorption population models worked if I set feeding status as covariate of Kt or TLag. I also found few published paper using feeding status as covariate. So, I wonder if it is acceptable to add feeding status as covariate of Kt or TLag. Thanks in advance, Bo
Hi, Bo Other things you may want to investigate include decreased Cmax? Also try to investigate meal effect on MTT if you have a transit model to cater for delay in absorption then evaluate performance of each using a VPCs, and other relevant diagnostics. Regards Simba Division of Clinical Pharmacology Department of Medicine University of Cape Town Phone: 2773 648 3863 mobile: +2721 404 7719
Quoted reply history
On Wed, May 23, 2012 at 5:37 PM, Bo Zheng <[email protected]> wrote: > Dear Simbarashe, > > Thanks a lot for your e-mail. > > For this drug (high permeability), the result showed that food effect did > not influence the Bioavailability, it only delayed the Tmax and lowed Cmax. > Therefore, I planned to use delayed absorption model to fit. I thought that > food could slow done the emptying of stomach, and my drug is not a > substrate of transporters known to be affected by meals. > > Your paper is very useful. I actually used the same model to fit. But, it > (even without IOV) was over-parametrized . You had 14 time points, I only > have 6 time points (including time 0). > > Bo > > > > On Wed, May 23, 2012 at 11:14 AM, Simbarashe Peter Zvada < > [email protected]> wrote: > >> Dear Bo >> >> Depending on the use of the drug, say for pain you would prefer meals >> which decrease mean transit time while not compromising >> bioavailability. Testing on Tlag is easier to explain. Why would you >> expect ktr to change due to meal effect? Is your drug a substrate of >> transporters known to be affected by meals? >> >> Given that your model is supporting meal effect on kt or tlag, it is a >> bit unusual that you do not have IOVs. Moreover, crossover study. >> >> Six points sounds reasonable unless you missed absoprtion phase. I >> find it easier to explain to clinicians if you test meal effect on >> bioavailability if higher exposures are desired. >> >> You can refer to other models eg. Effect of four different meal types >> on the population pharmacokinetics of rifapentine in heathy male >> volunteers. By Zvada Simbarashe et al. 2010. >> >> >> All the best, >> Simbarashe Zvada (PhD student) >> University of Cape Town >> >> >> >> On 5/23/12, Bo Zheng <[email protected]> wrote: >> > Hi all, >> > >> > >> > My question is if feeding status can be used as covariate of Kt or TLag >> in >> > delayed absorption model (transit or Tlag model) >> > >> > >> > It is a food effect study (19patients, crossover, no meal, low fat and >> high >> > fat). There are 19 patients x 3 feeding status x 6 time points = 342 >> > observations. The data are not rich enough to run the basic transit or >> Tlag >> > population model, and can not support estimating IOV either. >> > >> > >> > But there are correlations between feeding status (setting no meal=1, >> low >> > fat=2, high fat=3) and individually estimated Kt or Tlag. I found the >> > delayed absorption population models worked if I set feeding status as >> > covariate of Kt or TLag. I also found few published paper using feeding >> > status as covariate. >> > >> > >> > So, I wonder if it is acceptable to add feeding status as covariate of >> Kt >> > or TLag. >> > >> > >> > Thanks in advance, >> > >> > >> > Bo >> > >> >> >> -- >> PhD Student >> Pharmacometrics Group >> Division of Clinical Pharmacology >> Department of Medicine >> University of Cape Town >> Phone: 2773 648 3863 >> mobile: +2721 404 7719 >> > > -- PhD Student Pharmacometrics Group Division of Clinical Pharmacology Department of Medicine University of Cape Town Phone: 2773 648 3863 mobile: +2721 404 7719