Evaluating the 1-h post-load glucose level to predict future type 2 diabetes
Saunajoki, Anni E.; Auvinen, Juha P.; Bloigu, Aini H.; Timonen, Markku J.; Keinänen-Kiukaanniemi, Sirkka M. (2020-01-09)
Anni E. Saunajoki, Juha P. Auvinen, Aini H. Bloigu, Markku J. Timonen, Sirkka M. Keinänen-Kiukaanniemi, Evaluating the 1-h post-load glucose level to predict future type 2 diabetes, Diabetes Research and Clinical Practice, Volume 160, 2020, 108009, ISSN 0168-8227, https://doi.org/10.1016/j.diabres.2020.108009
© 2020 Elsevier B.V. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.
https://creativecommons.org/licenses/by-nc-nd/4.0/
https://urn.fi/URN:NBN:fi-fe2020051335407
Tiivistelmä
Abstract
Aims: To evaluate the predictive ability of 2-h post-load glucose level in addition to fasting and 1-h glucose levels in predicting the risk of type 2 diabetes.
Methods: We examined a prospective population-based cohort study of 654 subjects without type 2 diabetes at baseline. All subjects underwent an oral glucose tolerance test (OGTT), with measurement of glucose at 0, 60, and 120 min at baseline, and after 12 years in a follow-up survey. We evaluated the predictive properties of fasting, 1- and 2-h post-load glucose levels by comparing the areas under the receiver-operating characteristic (ROC) curve.
Results: We found that 2-h glucose concentration in the prediction model with fasting and 1-h glucose levels did not significantly increase the predictability of type 2 diabetes compared to a model only including fasting and 1-h glucose levels (AUC 0.83 vs. AUC 0.82, respectively; p = 0.23). The area under the ROC curve was the largest for 1-h glucose level (AUC 0.81), compared to fasting (AUC 0.71; p < 0.01) and 2-h glucose levels (AUC 0.72; p = 0.01).
Conclusions: Adding 2-h glucose to the model with fasting and 1-h glucose levels did not improve the predictability of new onset type 2 diabetes.
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