RE: mid-infusion higher than end of infusion
I saw similar problems because of operation procedures for compounds with rapid
decay after the end of infusion. Therefore it is essential to make sure the PK
sample at the end of infusion is collected right before the end of infusion
rather than post the end of infusion.
Just curious about the binding issue. Could anyone describe a little bit more
about this? Will this happen for a 30-minute infusion? How about for a 6-hour
infusion or 24-hour continuous infusion? That is, is there a time scale/limit
to observe this phenomenon (because of the binding variation with time)? Is
this also dependent on the infusion rate and concentration?
Alan
Quoted reply history
-----Original Message-----
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] Behalf Of Rene Bruno
Sent: Wednesday, July 11, 2007 8:50 AM
To: James G Wright; [email protected]
Subject: RE: [NMusers] mid-infusion higher than end of infusion
Hi everybody,
Of course poor control of the infusion rate can be an issue and also make sure
that the end of infusion sample is performed just before the end of infusion
rather than just (or some time) after. If these issues are clarified then
binding of the drug to circulating cells or receptors could be an
explanation... for example, this phenomenon is pretty common with monoclonal
antibodies that bind to circulating receptors.
Rene
_____
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of James G Wright
Sent: Wednesday, July 11, 2007 11:25 AM
To: [email protected]
Subject: RE: [NMusers] mid-infusion higher than end of infusion
Hi Peter,
A difference of substantial magnitude in a 30-minute infusion would suggest to
me that the rate of input or time of sampling is not precisely controlled.
Sorry to be boring, but every time I have seen this so far it has been
explained by the administration or sampling procedure. That the phenomenon is
not necessarily reproducible in the same subject partially supports this
interpretation, as an explanation requires substantial within-subject variation
(which is actually why the netrophil-binding idea is particularly clever).
It is common in studies for the end-of-infusion sample to in fact be just after
the end of the infusion (when concentration is falling, usually rapidly) even
when your protocol specifically disallows this.
Best regards, James
James G Wright PhD
Scientist
Wright Dose Ltd
Tel: 44 (0) 772 5636914
www.wright-dose.com http://www.wright-dose.com/
-----Original Message-----
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of Bonate, Peter
Sent: 10 July 2007 18:01
To: [email protected]; [EMAIL PROTECTED]
Subject: [NMusers] mid-infusion higher than end of infusion
Dear all,
I have a very unusual situation and wanted to see about getting the collective
opinion on the group regarding the best way to handle this modeling problem. I
have a drug that is given by 30 minute infusion. Samples were collected at
predose, mid-infusion, end of infusion, and serial thereafter for 8 halflives.
In about a third of the samples the mid-infusion sample had a considerably
higher concentration (25 to 50%)than the end of infusion concentration. This
phenomenon occurred across multiple studies, on multiple days (although not
always in the same subject twice), and across multiple analytical runs. I have
ruled out switched tubes and analytical error. For a variety of reasons this
appears to be a valid phenomenon.
Now, how best to model it or even explain it. The best I have been able to
come up with is it is a distribution phenomenon. In discussions with another
modeler I was informed that he just reviewed a paper having the same phenomenon
and in that paper the authors discarded the midinfusion data. I have tried
using time-dependent volumes using continuous and change-point functions. I
get modest improvements in goodness of fit compared to completely ignoring the
phenomenon which has a residual variability of about 30% using a 3-C model.
As a company we have decided to pursue an oral formulation of this drug so it
seems to me that modeling the iv data to the point of completely capturing the
phenomenon may be a modeling exercise and not of any real value any longer.
Any opinions on the validity of throwing out the data, just running with the
model that ignores the phenomenon and has high residual variability, or
something else I haven't been able to think of would be appreciated.
Thanks,
pete bonate
Peter L. Bonate, PhD, FCP
Genzyme Corporation
Senior Director, Pharmacokinetics
4545 Horizon Hill Blvd
San Antonio, TX 78229 USA
[EMAIL PROTECTED]
phone: 210-949-8662
fax: 210-949-8219
blackberry cell: 210-315-2713