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
Evaluating the 1-h post-load glucose level to predict future type 2 diabetes
|Author:||Saunajoki, Anni E.1; Auvinen, Juha P.1,2,3; Bloigu, Aini H.1;|
1Center for Life Course Health Research, University of Oulu, Oulu, Finland
2Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
3Healthcare and Social Services of Oulunkaari, Ii, Finland
4Healthcare and Social Services of Selänne, Pyhäjärvi, Finland
|Online Access:||PDF Full Text (PDF, 0.4 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2020051335407
|Publish Date:|| 2021-01-09
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.
Diabetes research and clinical practice
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
3121 General medicine, internal medicine and other clinical medicine
This research was supported by State Research Financing of the Expert Responsibility area of Oulu. The study was supported by grants from Emil Aaltonen Foundation, Orion Research Foundation sr and Oulu Medical Research Foundation.
© 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/.