Visceral adiposity index (VAI), lipid accumulation product (LAP), and product of triglycerides and glucose (TyG) to discriminate prediabetes and diabetes

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作者
Nayeon Ahn
Sebastian E. Baumeister
Ute Amann
Wolfgang Rathmann
Annette Peters
Cornelia Huth
Barbara Thorand
Christa Meisinger
机构
[1] Ludwig-Maximilians-Universität München,Chair of Epidemiology
[2] UNIKA-T Augsburg,The Institute of Medical Informatics, Biometry and Epidemiology (IBE)
[3] Ludwig-Maximilians-University of Munich,Institute for Biometrics and Epidemiology
[4] German Diabetes Center,Institute of Epidemiology, Helmholtz Zentrum München
[5] Leibniz Center for Diabetes Research at Heinrich Heine University,Independent Research Group Clinical Epidemiology, Helmholtz Zentrum München
[6] German Research Center for Environmental Health,undefined
[7] German Research Center for Environmental Health,undefined
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摘要
The present study evaluated the ability of the visceral adiposity index (VAI), the lipid accumulation product (LAP), and product of triglycerides and glucose (TyG), three novel, insulin resistance-related markers, to discriminate prediabetes/diabetes in the general German population. Altogether 2,045 Germans (31–72 years, 53.3% women) without known diabetes and a history of Myocardial Infarction (MI)/stroke from the Cooperative Health Research in the Region of Augsburg (KORA) F4 Study were eligible. The discriminatory accuracy of the markers for oral glucose tolerance test (OGTT)-defined prediabetes/diabetes according to the American Diabetes Association (ADA) criteria was assessed by the area under the receiver operating characteristic (ROC) curve (AUC). The Youden Index (YI) was used to determine optimal cut-off values, and a non-parametric ROC regression was used to examine whether the discriminatory accuracy varied by sex and age. 365 men (38.2%) and 257 women (23.6%) were newly diagnosed with prediabetes/diabetes. AUCs for TyG, LAP and VAI were 0.762 (95% CI 0.740–0.784), 0.743 (95% CI 0.720–0.765), and 0.687 (95% CI 0.662–0.712), respectively. The optimal cut-off values for the LAP and TyG were 56.70 and 8.75 in men, and 30.40 and 8.53 in women. In conclusion, TyG and LAP provide good discrimination of persons with prediabetes/diabetes.
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