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The BIGTT Test

The BIGTT Test

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_highwire_diabetes_diacare_30_2_257

The BIGTT Test

About this item

Full title

The BIGTT Test

Publisher

American Diabetes Association

Journal title

Diabetes care, 2007-02, Vol.30 (2), p.257-262

Language

English

Formats

Publication information

Publisher

American Diabetes Association

More information

Scope and Contents

Contents

The BIGTT Test
A novel test for simultaneous measurement of pancreatic β-cell function, insulin sensitivity, and glucose tolerance
Torben Hansen , MD, PHD 1 ,
Thomas Drivsholm , MD, PHD 2 ,
Søren A. Urhammer , MD, DMSCI 1 ,
Rene T. Palacios , MSCI 3 ,
Aage Vølund , MSCI 3 ,
Knut Borch-Johnsen , MD, DMSCI 1 2 and
Oluf Pedersen , MD, DMSCI 1
1 Steno Diabetes Center, Copenhagen, Denmark
2 Research Centre for Prevention and Health, Glostrup University Hospital, Glostrup, Denmark
3 Department of Biostatistics, Novo Nordisk, Copenhagen, Denmark
Address correspondence and reprint requests to Torben Hansen, MD, PhD, Steno Diabetes Center, Niels Steensens Vej 2, DK-2820
Gentofte, Denmark. E-mail: toha{at}steno.dk
Abstract
OBJECTIVE —Insulin resistance and impaired β-cell function are key elements in the pathogenesis of type 2 diabetes. We aimed to develop
valid algorithms for estimation of the insulin sensitivity index ( S I ) and acute insulin response (AIR) derived from simple and cheap physiological measurements that could be used in large-scale
metabolic, genetic, and epidemiological studies.
RESEARCH DESIGN AND METHODS —For our purpose, data from an oral glucose tolerance test (OGTT) (18 samples during 240 min) and a tolbutamide-modified intravenous
glucose tolerance test (IVGTT) (33 samples during 180 min) from 258 individuals with fasting plasma glucose <7 mmol/l and
2-h plasma glucose <7.8 mmol/l were used for model development and internal validation. Data from an additional 28 individuals
were used for external validation. Bergman’s minimal model was used to calculate S I , and the trapezoidal method was used to calculate AIR 0–8 min . Multiple linear regression was applied to derive predictive equations of log( S I ) and log(AIR 0–8 min ) using data on sex, BMI, plasma glucose, and serum insulin levels obtained during the OGTT.
RESULTS —We demonstrate that it is possible to obtain estimates of S I (BIGTT- S I ) and AIR (BIGTT-AIR) that are highly correlated to IVGTT-derived values of S I ( R 2 = 0.77) and AIR ( R 2 = 0.54). In the two validation datasets we obtained similar results.
CONCLUSIONS —Data from OGTTs can provide accurate measures of insulin sensitivity and β-cell function, which can be used in large scale
metabolic, genetic, and epidemiological studies.
AIR, acute insulin response
HOMA, homeostasis model assessment
IGT, impaired glucose tolerance
IVGTT, intravenous glucose tolerance test
OGTT, oral glucose tolerance test
RCPH, Research Centre for Prevention and Health
Footnotes
T.H. and T.D. contributed equally to this work.
Additional information for this article can be found in an online appendix at http://dx.doi.org/10.2337/dc06-1240 .
A table elsewhere in this issue shows conventional and Système International (SI) units and conversion factors for many substances.
The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore
be hereby marked “advertisement” in accordance with 18 U.S.C Section 1734 solel...

Alternative Titles

Full title

The BIGTT Test

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_highwire_diabetes_diacare_30_2_257

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_highwire_diabetes_diacare_30_2_257

Other Identifiers

ISSN

0149-5992

E-ISSN

1935-5548

DOI

10.2337/dc06-1240

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