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

Gopal Peddinti*, Michael Bergman, Tiinamaija Tuomi, Leif Groop

*Corresponding author for this work

    Research output: Contribution to journalArticleScientificpeer-review

    58 Citations (Scopus)

    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). 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). 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. 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. 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.
    Original languageEnglish
    Pages (from-to)1131-1140
    JournalThe Journal of clinical endocrinology and metabolism
    Volume104
    Issue number4
    DOIs
    Publication statusPublished - 1 Apr 2019
    MoE publication typeA1 Journal article-refereed

    Funding

    This study was supported by Academy of Finland grants 265966 (to G.P.); 263401, 267882, and 312063 (to L.G.); and 312072 (to T.T.). L.G. was supported by European Research Council grant GA 269045. The Botnia Prospective Study has been financially supported by grants from the Sigrid Juselius Foundation, Folkhalsan Research Foundation, Nordic Center of Excellence in Disease Genetics, European Union Framework Programme projects EXGENESIS (FP6) and MOSAIC (FP7-600914) (to L.G), Ollqvist Foundation, Finnish Diabetes Research Foundation, Foundation for Life and Health in Finland, Finnish Medical Society, Helsinki University Central Hospital Research Foundation, Perklén Foundation, Paavo Nurmi Foundation, Ahokas Foundation, and Narpes Health Care Foundation. The study has also been supported by the Municipal Health Care Center and Hospital in Jakobstad and Health Care Centers in Vaasa, Narpes, and Korsholm.

    Fingerprint

    Dive into the research topics of '1-Hour Post-OGTT Glucose Improves the Early Prediction of Type 2 Diabetes by Clinical and Metabolic Markers'. Together they form a unique fingerprint.

    Cite this