Abstract
The standard measures of insulin sensitivity, SI , obtained e.g. by clamp or minimal model (MM) techniques, do not account for how fast/slow insulin action reaches its plateau value. Recently, we have proposed a new dynamic insulin sensitivity index, S I D, that incorporates this information. We have shown that in normal subjects S I D offers, in comparison with S I, a more comprehensive picture of insulin action on glucose metabolism. Here, we illustrate how S I D is even more appropriate when studying type 2 diabetic patients whose insulin action is not only impaired in magnitude but also slow. In particular, by identifying MM from an intravenous glucose tolerance test (IVGTT) experiment in 10 diabetic subjects via a Bayesian strategy, we show that S I D is not only more informative but also more precise than SI .We conclude that S I D is the insulin sensitivity index of choice when studying subjects with impaired insulin action like impaired glucose tolerant or diabetics.
Original language | English |
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Title of host publication | IFAC Proceedings Volumes (IFAC-PapersOnline) |
Pages | 207-212 |
Number of pages | 6 |
Volume | 6 |
Edition | PART 1 |
Publication status | Published - 2006 |
Event | 6th IFAC Symposium on Modeling and Control in Biomedical Systems, MCBMS 2006 - Reims, France Duration: Aug 20 2006 → Aug 22 2006 |
Other
Other | 6th IFAC Symposium on Modeling and Control in Biomedical Systems, MCBMS 2006 |
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Country/Territory | France |
City | Reims |
Period | 8/20/06 → 8/22/06 |
Keywords
- Bayesian estimation
- Biomedical systems
- Diabetes
- Insulin resistance
- Markov chain Monte Carlo
- Parameter estimation
ASJC Scopus subject areas
- Control and Systems Engineering