dc.contributor.author |
Jiang, Y |
en |
dc.contributor.author |
Holford, Nicholas |
en |
dc.contributor.author |
Murry, DJ |
en |
dc.contributor.author |
Brown, TL |
en |
dc.contributor.author |
Milavetz, G |
en |
dc.coverage.spatial |
Crystal City, United States |
en |
dc.date.accessioned |
2016-12-11T23:06:06Z |
en |
dc.date.issued |
2015-10-07 |
en |
dc.identifier.citation |
In American Conference on Pharmacometrics 2015 (ACoP6). Journal of Pharmacokinetics and Pharmacodynamics, 2015, 42, Supplement 1, pp 11–107. 03-09 October 2015 |
en |
dc.identifier.uri |
http://hdl.handle.net/2292/31315 |
en |
dc.description.abstract |
Objectives: To investigate the effect of sex, age, and previous drinking history on ethanol pharmacokinetic parameters with the implementation of a rate dependent extraction model [1], which takes into account the change in hepatic first-pass extraction along with absorption rate and a body composition model that accounts for fat free mass and fat mass [2]. Methods: 108 moderate or heavy drinkers were dosed orally on 2 occasions to achieve a peak blood ethanol concentration of 0.65 g/L or 1.15 g/L using a randomized, crossover design. A total of 6025 breath measurements were obtained and converted into blood alcohol concentration by applying a blood: breath ratio of 2100:1. NONMEM 7.3.0 was used for data analysis. A semi-mechanistic rate dependent extraction model with zero-order input followed by first order absorption was utilized with V allometrically scaled by normal fat mass, Vmax allometrically scaled by total body weight and portal vein blood flow allometrically scaled by fat free mass. The effects of sex and age (21–34, 38–51, or 55–68 years of age) on V, Vmax, and Km; and the effect of drinking status (moderate or heavy drinkers) on Vmax and Km were explored. The covariate effect was considered to be statistically significant if the 95 % non-parametric bootstrap confidence interval of the fractional difference did not include 1. Results: The 95 % bootstrap confidence interval of fractional differences between groups in age, sex and ethanol consumption history all contain 1, indicating none of those covariates have significant effects on any ethanol disposition parameters. Conclusions: Age and sex were not regarded as significant predictors for ethanol disposition parameters after accounting for body size and composition. The results indicated a 19 % higher Vmax and 15 % lower Km for heavy drinkers compared with moderate drinkers, but the difference was not statistically significant. |
en |
dc.description.uri |
http://www.acop7.org/previous-acop-meetings-acop6-posters |
en |
dc.relation.ispartof |
American Conference on Pharmacometrics 2015 (ACoP6) |
en |
dc.relation.ispartofseries |
Journal of Pharmacokinetics and Pharmacodynamics |
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dc.rights |
Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. Details obtained from http://www.sherpa.ac.uk/romeo/issn/1567-567X/ |
en |
dc.rights.uri |
https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm |
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dc.subject |
Science & Technology |
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dc.subject |
Life Sciences & Biomedicine |
en |
dc.subject |
Pharmacology & Pharmacy |
en |
dc.title |
Population Pharmacokinetics of Ethanol in Moderate and Heavy Drinkers |
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dc.type |
Conference Poster |
en |
dc.identifier.doi |
10.1007/s10928-015-9432-2 |
en |
pubs.author-url |
http://www.acop7.org/assets/Legacy_ACOPs/ACoP6/Poster_abstracts/w-14.pdf |
en |
pubs.publication-status |
Published |
en |
dc.rights.accessrights |
http://purl.org/eprint/accessRights/RestrictedAccess |
en |
pubs.elements-id |
520437 |
en |
pubs.org-id |
Medical and Health Sciences |
en |
pubs.org-id |
Medical Sciences |
en |
pubs.org-id |
Pharmacology |
en |
pubs.record-created-at-source-date |
2016-12-12 |
en |