Predicting glucose intolerance with normal fasting plasma glucose by the components of the metabolism syndrome

Dee Pei, Jiunn Dann Lin, Du An Wu, Chang Hsun Hsieh, Yi Jen Hung, Shi Wen Kuo, Ko Lin Kuo, Chung Ze Wu, Jer Chuan Li

研究成果: 雜誌貢獻文章同行評審

摘要

Background: Surprisingly, it is estimated that about half of type 2 diabetics remain undetected. The possible causes may be partly attributable to people with normal fasting plasma glucose (FPG) but abnormal postprandial hyperglycemia. We attempted to develop an effective predictive model by using the metabolic syndrome (MeS) components as parameters to identify such persons. Subjects and methods: All participants received a standard 75-g oral glucose tolerance test, which showed that 106 had normal glucose tolerance, 61 had impaired glucose tolerance, and 6 had diabetes-on-isolated postchallenge hyperglycemia. We tested five models, which included various MeS components. Model 0: FPG; Model 1 (clinical history model): family history (FH), FPG, age and sex; Model 2 (MeS model): Model 1 plus triglycerides, high-density lipoprotein cholesterol, body mass index, systolic blood pressure and diastolic blood pressure; Model 3: Model 2 plus fasting plasma insulin (FPI); Model 4: Model 3 plus homeostasis model assessment of insulin resistance. A receiver-operating characteristic (ROC) curve was used to determine the predictive discrimination of these models. Results: The area under the ROC curve of the Model 0 was significantly larger than the area under the diagonal reference line. All the other 4 models had a larger area under the ROC curve than Model 0. Considering the simplicity and lower cost of Model 2, it would be the best model to use. Nevertheless, Model 3 had the largest area under the ROC curve. Conclusion: We demonstrated that Model 2 and 3 have a significantly better predictive discrimination to identify persons with normal FPG at high risk for glucose intolerance.

原文英語
頁(從 - 到)339-346
頁數8
期刊Annals of Saudi Medicine
27
發行號5
DOIs
出版狀態已發佈 - 2007
對外發佈

ASJC Scopus subject areas

  • 醫藥 (全部)

指紋

深入研究「Predicting glucose intolerance with normal fasting plasma glucose by the components of the metabolism syndrome」主題。共同形成了獨特的指紋。

引用此