Insulin sensitivity index also accounting for insulin action dynamics: Importance in diabetes

Gianluigi Pillonetto, Andrea Caumo, Claudio Cobelli

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publicationIFAC Proceedings Volumes (IFAC-PapersOnline)
Pages207-212
Number of pages6
Volume6
EditionPART 1
Publication statusPublished - 2006
Event6th IFAC Symposium on Modeling and Control in Biomedical Systems, MCBMS 2006 - Reims, France
Duration: Aug 20 2006Aug 22 2006

Other

Other6th IFAC Symposium on Modeling and Control in Biomedical Systems, MCBMS 2006
CountryFrance
CityReims
Period8/20/068/22/06

Keywords

  • Bayesian estimation
  • Biomedical systems
  • Diabetes
  • Insulin resistance
  • Markov chain Monte Carlo
  • Parameter estimation

ASJC Scopus subject areas

  • Control and Systems Engineering

Fingerprint Dive into the research topics of 'Insulin sensitivity index also accounting for insulin action dynamics: Importance in diabetes'. Together they form a unique fingerprint.

Cite this