A reduced sampling protocol for the identification of insulin sensitivity

Author

Nguyen, H.T. ; Coates, P. ; Luzio, S. ; Owens, D.R.

Author_Institution

Dept. of Electr. Eng, Univ. of Technol., Broadway, NSW, Australia

Volume

5

fYear

1996

fDate

31 Oct-3 Nov 1996

Firstpage

2028

Abstract

Recent prospective studies have demonstrated that low insulin sensitivity is highly predictive for the eventual development of non-insulin dependent diabetes mellitus (NIDDM). In this paper, the authors propose an new 13-sample protocol for the efficient estimation of insulin sensitivity in normal subjects and NIDDM patients. Compared to other reduced sampling protocols, the new protocol estimates insulin sensitivity and glucose effectiveness with better correlation and lower bias

Keywords

biomedical measurement; organic compounds; statistical analysis; 13-sample protocol; bias; correlation; glucose effectiveness; insulin sensitivity identification; noninsulin dependent diabetes mellitus; normal subjects; patients; reduced sampling protocol; Blood; Clamps; Diabetes; Educational institutions; Engineering in Medicine and Biology Society; Immune system; Insulin; Protocols; Sampling methods; Sugar;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE

Conference_Location

Amsterdam

Print_ISBN

0-7803-3811-1

Type

conf

DOI

10.1109/IEMBS.1996.646411

Filename

646411