AJP - Endo Fuel your research with LabChart
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


Am J Physiol Endocrinol Metab 257: E444-E450, 1989;
0193-1849/89 $5.00
This Article
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Cobelli, C.
Right arrow Articles by Ruggeri, A.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Cobelli, C.
Right arrow Articles by Ruggeri, A.

AJP - Endocrinology and Metabolism, Vol 257, Issue 3 E444-E450, Copyright © 1989 by American Physiological Society


ARTICLES

Optimal design of sampling schedules for studying glucose kinetics with tracers

C. Cobelli and A. Ruggeri
Dipartimento di Elettronica e Informatica, Universita di Padova, Padua, Italy.

Minimum size sampling schedules for estimating glucose kinetic parameters from an impulsive (bolus) tracer injection in normal humans and rats are presented. Glucose kinetics are described by a two-compartment linear model, and reference values of the parameters are estimated from a data base with many samples. The optimal sampling schedule (OSS) is determined in each individual by using a D-optimal criterion and consists of four samples. A population optimal sampling schedule (POSS) applicable to all the individuals of a given population is then determined, and its reliability and efficiency in recovering kinetic parameters (e.g., rate constants, plasma clearance rate, and mean residence time) is assessed. The influence of model and measurement error on OSS is discussed. Moreover, the adoption of an enhanced POSS (EPOSS, 8 samples) is shown to improve accuracy and precision of parameter estimates in a predictable manner. Finally some suggestions are given for obtaining more information from turnover studies using a constant infusion of tracer, with or without a priming pulse of tracer.


This article has been cited by other articles:


Home page
Am. J. Physiol. Endocrinol. Metab.Home page
C. Cobelli, A. Caumo, and M. Omenetto
Minimal model SG overestimation and SI underestimation: improved accuracy by a Bayesian two-compartment model
Am J Physiol Endocrinol Metab, September 1, 1999; 277(3): E481 - E488.
[Abstract] [Full Text] [PDF]


Home page
Arterioscler. Thromb. Vasc. Bio.Home page
F. Pont, L. Duvillard, B. Verges, and P. Gambert
Development of Compartmental Models in Stable-Isotope Experiments : Application to Lipid Metabolism
Arterioscler. Thromb. Vasc. Biol., June 1, 1998; 18(6): 853 - 860.
[Abstract] [Full Text] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Visit Other APS Journals Online