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Dear PK List,
We are a study group assessing tumor suppressive agents, but we have nobody with
some knowlege about PK in our group.
For our study we just need to know the plasma concentration of an agent, for
which we retrieved mainly non-compartmental variables.
Is there any formula to estimate the plasma concentration from the given
variables, assuming that the agent was administered once at five consecutive
days?
dose is 15 mg/m**2
Cmax 325
Tmax 6
C0 2123
AUClast 9728
AUCinf 9760
T1/2 29
CL 7054
Vz 192
Vss 942
Thanks a lot for any appreciated help
Rene Warschkow
research coordinator
department of surgery
Kantonsspital St. Gallen
Switzerland
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The following message was posted to: PharmPK
Hi Rene,
Is this IV dosing? Seems so.
What concentration do you want, a daily average concentration or a concentration
at a specific point in time?
Average concentration is easy but the problem is that all your numbers lack
units and it may be good to know the absolute dose for a plausibility check.
Also the AUC of one dosing interval would be good to have, it is not clear if
this was e.g. the last dose and sampling was for more than 24 h, in this case
your AUCinf is not the dosing interval AUC.
For concentration at any point in time you would need a model or at least assume
a model. But maybe you can just read this concentration from your empirical
concentration time curve?
If you want a free concentration you need protein binding data of your compound.
So basically it needs some more information.
Markus
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Dear Rene,
PK Solutions is our top-ranked, Excel-based pharmacokinetics data analysis
software and may have a solution for you.
PK Solutions has a unique feature for reconstructing the original plasma level
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of up to a three term polyexponential distribution equation.
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www.SummitPK.com/pksolutions/pkstour.htm
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This free, Excel-based pk equations graphing demo provides a functioning example
of plotting the polyexponential (predispositional) equation describing a plasma
level curve based on the sum of three first-order exponential terms. Slider bars
adjustment of the six input variables found in the equation to view their effect
on the curve, as well as on a corresponding set of related AUC results.
I hope this is will be helpful for your objective.
Regards,
David S. Farrier, Ph.D.
Summit Research Services
68911 Open Field Dr. Email: DFarrier.aaa.SummitPK.com
Montrose, CO 81401 Web: http://www.SummitPK.com
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