In:
Journal of Diabetes Investigation, Wiley, Vol. 5, No. 3 ( 2014-05), p. 290-296
Abstract:
How to measure insulin resistance ( IR ) accurately and conveniently is a critical issue for both clinical practice and research. In the present study, we tried to modify the β‐cell function, insulin sensitivity, and glucose tolerance test ( BIGTT ) in patients with normal glucose tolerance ( NGT ) and abnormal glucose tolerance ( AGT ) by oral glucose tolerance test ( OGTT ) and metabolic syndrome ( M et S ) components. Materials and Methods There were 327 participants enrolled and divided into NGT or AGT . Data from 75% of the participants were used to build the models, and the remaining 25% were used for external validation. Steady‐state plasma glucose ( SSPG ) concentration derived from the insulin suppression test was regarded as the standard measurement for IR . Five models were built from multiple regression: model 1 ( M et S model with sex, age and M et S components); model 2 (simple OGTT model with sex, age, plasma glucose, and insulin concentrations at 0 and 120 min during OGTT ); model 3 (full OGTT model with sex, age, and plasma glucose and insulin concentrations at 0, 30, 60, 90, 120, and 180 min during OGTT ); model 4 (simple combined model): model 1 and model 2; and model 5 (full model): model 1 and 3. Results In general, our models had higher r 2 compared with surrogates derived from OGTT , such as homeostasis model assessment‐insulin resistance and quantitative insulin sensitivity check index. Among them, model 5 had the highest r 2 (0.505 in NGT , 0.556 in AGT , respectively). Conclusions Our modified BIGTT models proved to be accurate and easy methods for estimating IR , and can be used in clinical practice and research.
Type of Medium:
Online Resource
ISSN:
2040-1116
,
2040-1124
DOI:
10.1111/jdi.2014.5.issue-3
Language:
English
Publisher:
Wiley
Publication Date:
2014
detail.hit.zdb_id:
2542077-X
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