Data-driven classification of prediabetes using cardiometabolic biomarkers: Data from National Health and Nutrition Examination Survey 2007–2016

Data-driven classification of prediabetes using cardiometabolic biomarkers: Data from National Health and Nutrition Examination Survey 2007–2016

BackgroundCluster analyses have proposed different prediabetes phenotypes using glycemic parameters, body fat distribution, liver fat content, and insulin sensitivity. We aimed at classifying the subjects with prediabetes using cluster analysis and exploring the associations between prediabetes clus...

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Bibliographic Details
Main Authors: Yan Jiang, Jinying Xia, Caiyan Che, Yongning Wei
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-08-01
Series:Frontiers in Endocrinology
Subjects:
prediabetes
hypertension
estimated glomerular filtration rate
consensus clustering analysis
albumin to creatinine ratio
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2022.937942/full

Internet

https://www.frontiersin.org/articles/10.3389/fendo.2022.937942/full

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