-
Pharmaceutical research · Jul 2009
Encouraging the move towards predictive population models for the obese using propofol as a motivating example.
- Sarah C McLeay, Glynn A Morrish, Carl M Kirkpatrick, and Bruce Green.
- School of Pharmacy, The University of Queensland, Brisbane, Australia.
- Pharm. Res. 2009 Jul 1;26(7):1626-34.
PurposeTo develop a predictive pharmacokinetic model for propofol that could inform development of a dosing strategy for the obese population.MethodsA prior model that included a nonlinear relationship between clearance (CL) and Total Body Weight (TBW) was re-parameterized with a linear relationship between CL and Lean Body Weight (LBW). The predictive performance of both models was compared and the LBW model used to explore propofol exposure from normal to obese patients. A dosing strategy was evaluated that normalized awakening time across a range of patient weights.ResultsThe predictive performance of the LBW model was similar to the nonlinear TBW model for normal weighted subjects. Simulations in 70-160 kg subjects indicated that dosing linearly on TBW (label recommendation), in contrast to LBW, resulted in increased plasma concentrations in the larger weight groups. This result might explain why obese subjects take longer to awaken from anesthesia compared to normal weighted subjects. Dosing by LBW normalized patient awakening times across this weight range.ConclusionsLBW as a covariate provides a plausible mechanistic explanation for an observed nonlinear increase in drug CL with TBW and may be suitable for developing dosing strategies that are appropriate for use in the obese population.
Notes
Knowledge, pearl, summary or comment to share?You can also include formatting, links, images and footnotes in your notes
- Simple formatting can be added to notes, such as
*italics*
,_underline_
or**bold**
. - Superscript can be denoted by
<sup>text</sup>
and subscript<sub>text</sub>
. - Numbered or bulleted lists can be created using either numbered lines
1. 2. 3.
, hyphens-
or asterisks*
. - Links can be included with:
[my link to pubmed](http://pubmed.com)
- Images can be included with:
![alt text](https://bestmedicaljournal.com/study_graph.jpg "Image Title Text")
- For footnotes use
[^1](This is a footnote.)
inline. - Or use an inline reference
[^1]
to refer to a longer footnote elseweher in the document[^1]: This is a long footnote.
.