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Oral minimal model-based estimates of insulin sensitivity in obese youth depend on oral glucose tolerance test protocol duration

Authors :
Kai Bartlette
Anne-Marie Carreau
Danielle Xie
Yesenia Garcia-Reyes
Haseeb Rahat
Laura Pyle
Kristen J. Nadeau
Melanie Cree-Green
Cecilia Diniz Behn
Source :
Metabolism Open, Vol 9, Iss , Pp 100078- (2021)
Publication Year :
2021
Publisher :
Elsevier, 2021.

Abstract

Introduction: The Oral Minimal Model (OMM), a differential-equations based mathematical model of glucose-insulin dynamics, utilizes data from a frequently sampled oral glucose tolerance test (OGTT) to quantify insulin sensitivity (SI). OMM-based estimates of SI can detect differences in insulin resistance (IR) across population groups and quantify effects of clinical or behavioral interventions. These estimates of SI have been validated in healthy adults using data from OGTTs with durations from 2 to 7 h. However, data demonstrating how protocol duration affects SI estimates in highly IR populations such as adolescents with obesity are limited. Methods: A 6-h frequently sampled OGTT was performed in adolescent females with obesity. Two, 3-, and 4- hour implementations of OMM assuming an exponentially-decaying rate of glucose appearance beyond measured glucose concentrations were compared to the 6-h implementation. A 4- hour OMM implementation with truncated data (4h Tr) was also considered. Results: Data from 68 participants were included (age 15.8 ± 1.2 years, BMI 35.4 ± 5.6 kg/m2). Although SI values were highly correlated for all implementations, they varied with protocol duration (2h: 2.86 ± 3.31, 3h: 2.55 ± 2.62, 4h: 2.81 ± 2.59, 4h tr: 3.13 ± 3.14, 6h: 3.06 ± 2.85 x 10-4 dl/kg/min per U/ml). SI estimates based on 2 or 3 h of data underestimated SI values, whereas 4-h SI estimates more closely approximated 6-h SI values. Discussion: These results suggest that OGTT protocol duration should be considered when implementing OMM to estimate SI in adolescents with obesity and other IR populations.

Details

Language :
English
ISSN :
25899368
Volume :
9
Issue :
100078-
Database :
Directory of Open Access Journals
Journal :
Metabolism Open
Publication Type :
Academic Journal
Accession number :
edsdoj.89ba0fb90e574896b7e0997a1a945202
Document Type :
article
Full Text :
https://doi.org/10.1016/j.metop.2021.100078