医学
餐后
糖基化
逻辑回归
内科学
血糖性
糖尿病
血红蛋白
体质指数
内分泌学
甘油三酯
逐步回归
贝叶斯多元线性回归
升糖指数
2型糖尿病
线性回归
糖化血红素
胆固醇
胃肠病学
机器学习
计算机科学
作者
Lu Lin,Anping Wang,Yan He,Weiqing Wang,Zhengnan Gao,Xulei Tang,Li Yan,Qin Wan,Zuojie Luo,Guijun Qin,Lulu Chen,Yiming Mu,Jingtao Dou
标识
DOI:10.1016/j.diabres.2021.109039
摘要
Abstract
Aims
This study aimed to assess the effects of the hemoglobin glycation index (HGI) on hyperglycemia diagnosis and summarize the general characteristics of patients with a high-HGI phenotype. Methods
The fasting plasma glucose and glycated hemoglobin (HbA1c) levels of participants (n = 47,648) were used to estimate a linear regression equation and determine the baseline HGI. Overall, 42,317 participants without a history of diabetes were included in the final analysis. The participants were divided into three groups according to the tertiles (low, moderate, and high) of baseline HGI. Proportions and variables were compared among the three HGI groups. A multivariate ordered logistic regression model was used to explore associations between related variables and the high-HGI phenotype. Results
Regression analysis indicated that the high-HGI phenotype was positively associated with female sex, advanced age, obesity, increased low-density lipoprotein and triglyceride levels, decreased high-density lipoprotein cholesterol, and postprandial glycemic excursion levels (all P < 0.05). The prevalence of hyperglycemia increased from the low- to the high-HGI groups when using HbA1c for diagnosis. Conclusions
Individuals with high HGI have similar clinical characteristics. Measuring HbA1c alone for diagnosis could lead to inappropriate diabetes management decisions in people with low or high HGI.
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