Predicting the development of diabetes using the product of triglycerides and glucose: the Chungju Metabolic Disease Cohort (CMC) study.

Predicting the development of diabetes using the product of triglycerides and glucose: the Chungju Metabolic Disease Cohort (CMC) study.
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DOI:
10.1371/journal.pone.0090430
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发表时间:
2014
期刊:
影响因子:
3.7
通讯作者:
Yoon KH
Yoon KH
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Lee SH;Kwon HS;Park YM;Ha HS;Jeong SH;Yang HK;Lee JH;Yim HW;Kang MI;Lee WC;Son HY;Yoon KH

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为了确定TyG指数(甘油三酯和空腹血糖(FPG)水平的乘积)是否可能是预测未来糖尿病的有价值的标志物。在忠州代谢疾病队列研究中,从一个大型的韩国中年队列中选择了5,354名完成随访以评估糖尿病状态的非糖尿病受试者。根据基线TyG指数评估糖尿病风险,计算为ln[空腹甘油三酯(mg/dL)× FPG(mg/dL)/2]。中位随访期为4.6年。在随访期间,420例受试者(7.8%)发生糖尿病。这些受试者的TyG指数基线值显著高于非糖尿病受试者(8.9±0.6 vs. 8.6±0.6; P<0.0001),糖尿病发病率与TyG指数四分位数成比例增加。在调整了年龄、性别、体重指数、腰围、收缩压、高密度脂蛋白(HDL)胆固醇水平、糖尿病家族史、吸烟、饮酒、教育水平和血清胰岛素水平后,TyG指数最高四分位数与最低四分位数的糖尿病发病风险高出四倍以上(相对危险度,4.095; 95%CI,2.701-6.207)。TyG指数的预测能力优于甘油三酯/HDL-胆固醇比值或胰岛素抵抗的稳态模型评估。TyG指数是一种反映胰岛素抵抗的简单指标,可能有助于识别糖尿病高危人群。
To determine whether the TyG index, a product of the levels of triglycerides and fasting plasma glucose (FPG) might be a valuable marker for predicting future diabetes. A total of 5,354 nondiabetic subjects who had completed their follow-up visit for evaluating diabetes status were selected from a large cohort of middle-aged Koreans in the Chungju Metabolic Disease Cohort study. The risk of diabetes was assessed according to the baseline TyG index, calculated as ln[fasting triglycerides (mg/dL) × FPG (mg/dL)/2]. The median follow-up period was 4.6 years. During the follow-up period, 420 subjects (7.8%) developed diabetes. The baseline values of the TyG index were significantly higher in these subjects compared with nondiabetic subjects (8.9±0.6 vs. 8.6±0.6; P<0.0001) and the incidence of diabetes increased in proportion to TyG index quartiles. After adjusting for age, gender, body mass index, waist circumference, systolic blood pressure, high-density lipoprotein (HDL)-cholesterol level, a family history of diabetes, smoking, alcohol drinking, education level and serum insulin level, the risk of diabetes onset was more than fourfold higher in the highest vs. the lowest quartile of the TyG index (relative risk, 4.095; 95% CI, 2.701–6.207). The predictive power of the TyG index was better than the triglyceride/HDL-cholesterol ratio or the homeostasis model assessment of insulin resistance. The TyG index, a simple measure reflecting insulin resistance, might be useful in identifying individuals at high risk of developing diabetes.
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