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1-Hour Post-OGTT Glucose Improves the Early Prediction of Type 2 Diabetes by Clinical and Metabolic Markers.

Authors :
Peddinti G
Bergman M
Tuomi T
Groop L
Source :
The Journal of clinical endocrinology and metabolism [J Clin Endocrinol Metab] 2019 Apr 01; Vol. 104 (4), pp. 1131-1140.
Publication Year :
2019

Abstract

Context: Early prediction of dysglycemia is crucial to prevent progression to type 2 diabetes. The 1-hour postload plasma glucose (PG) is reported to be a better predictor of dysglycemia than fasting plasma glucose (FPG), 2-hour PG, or glycated hemoglobin (HbA1c).<br />Objective: To evaluate the predictive performance of clinical markers, metabolites, HbA1c, and PG and serum insulin (INS) levels during a 75-g oral glucose tolerance test (OGTT).<br />Design and Setting: We measured PG and INS levels at 0, 30, 60, and 120 minutes during an OGTT in 543 participants in the Botnia Prospective Study, 146 of whom progressed to type 2 diabetes within a 10-year follow-up period. Using combinations of variables, we evaluated 1527 predictive models for progression to type 2 diabetes.<br />Results: The 1-hour PG outperformed every individual marker except 30-minute PG or mannose, whose predictive performances were lower but not significantly worse. HbA1c was inferior to 1-hour PG according to DeLong test P value but not false discovery rate. Combining the metabolic markers with PG measurements and HbA1c significantly improved the predictive models, and mannose was found to be a robust metabolic marker.<br />Conclusions: The 1-hour PG, alone or in combination with metabolic markers, is a robust predictor for determining the future risk of type 2 diabetes, outperforms the 2-hour PG, and is cheaper to measure than metabolites. Metabolites add to the predictive value of PG and HbA1c measurements. Shortening the standard 75-g OGTT to 1 hour improves its predictive value and clinical usability.<br /> (Copyright © 2019 Endocrine Society.)

Details

Language :
English
ISSN :
1945-7197
Volume :
104
Issue :
4
Database :
MEDLINE
Journal :
The Journal of clinical endocrinology and metabolism
Publication Type :
Academic Journal
Accession number :
30445509
Full Text :
https://doi.org/10.1210/jc.2018-01828