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Dear all,
We would like to conduct clinical trials to assess the impact of renal or hepatic impairment on the
pharmacokinetics of a new drug.
In population of normal healthy volunteers, after a single dose, we normally collect PK plasma
samples until 24 hours post-dose.
In renal or hepatic-impaired subjects, we expect the need of additional PK samples after 24 hours to
properly assess the PK paramters, however we are not sure until how many hours post-dose we should
keep collecting samples.
May somebody be of any help on this subject?
Many thanks in advance.
F.Frerart
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Hello,
If you know the fraction metabolized (fm) and fraction excreted (fe) of your drug in healthy
individuals, you can predict the drop in total clearance in different degrees of renal or hepatic
impairment and hence can predict the increase in half life. Your PK samples should cover at least
3-4 half lives.
Hope this helps.
Regards
Ahmed Nader, PhD
Qatar University College of Pharmacy
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Hi,
To start with, I think you should look back at the available data from
studies that already have been done. If you have informative PK data in
plasma and the urinary excreted amounts in subjects, you can develop a
PK model and find out more about the contribution of the urinary
elimination to the total clearance of the drug. Once the model is
developed, you can simulate different variations of kidney functions and
decide what to do in your next study, e.g., if there is need for a dose
reduction or what sampling duration you should consider.
You can take a look at: Regadenoson pharmacokinetics and tolerability in
subjects with impaired renal function. Gordi T, Blackburn B, Lieu H. J
Clin Pharmacol. 2007 Jul;47(7):825-33.
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Hi
This is a case where modelling and simulation can be a big help to design your clinical study
appropriately. As a follow up to what Ahmed just said if you know fm and fe values (or alternatively
physiochemical and metabolism kinetic of your drug) and also know what physiological and biological
changes happen in patients with renal or hepatic impairment then you can predict PK changes, please
see the following papers:
http://www.ncbi.nlm.nih.gov/pubmed/?term=22115405
http://www.ingentaconnect.com/content/adis/cpk/2010/00000049/00000003/art00003
http://dx.doi.org/10.1002/bdd.1771
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3171651/
Regards
Masoud
Toufigh
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