[血红蛋白糖基化指数与动脉硬化相关血脂的关系研究]。

C Zhang, L Lin, D Sun, J T Dou, A P Wang, L G Dong, S Y Wang, Z H Lyu, Y M Mu
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引用次数: 0

摘要

目的研究血红蛋白糖化指数(HGI)与低密度脂蛋白胆固醇(LDL-C)、非高密度脂蛋白胆固醇(non-HDL-C)和血浆致动脉粥样硬化指数(AIP)等血脂指标之间的关系。研究方法这项横断面研究纳入了 2011 年 12 月至 2012 年 8 月期间北京苹果园社区的 16 049 名参与者。根据 HGI 四分位数将受试者分为三组:低(5 388 人)、中(5 249 人)和高(5 412 人)。比较不同 HGI 组血脂指标的差异,并建立多变量 logistic 回归模型,分析 HGI 与血脂异常的关系。并建立多变量逻辑回归模型,分析不同糖代谢人群中 HGI 与血脂指标的关系。结果共有 16 049 名参与者(平均年龄:56 岁),包括 10 452 名女性(65.1%)。根据糖耐量状况,他们被分为糖耐量正常(9 093 例)、糖尿病前期(4 524 例)和糖尿病(2 432 例)。在普通人群中,随着 HGI 的增加,低密度脂蛋白胆固醇、非高密度脂蛋白胆固醇和 AIP 逐渐增加(趋势的 P 值分别为 χ2=101.40、42.91、39.80;PPOR 值分别为 1.325、1.678 和 1.分别为1.325、1.678、1.274);在糖尿病前期组中,HGI与LDL-C的相关性更高(OR值:1.510);在不同糖代谢组中,AIP与HGI均有相关性(OR值:1.208-1.250),但不优于非HDL-C和LDL-C。结论在整个人群和不同糖代谢人群中,HGI与低密度脂蛋白胆固醇、非高密度脂蛋白胆固醇和AIP密切相关,这表明HGI可能是动脉粥样硬化性心血管疾病的预测因子。
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[Study on the relationship between hemoglobin glycosylation index and arteriosclerosis- related blood lipids].

Objective: To study the relationship between hemoglobin glycation index (HGI) and blood lipid indices such as low-density lipoprotein cholesterol (LDL-C), non-high-density lipoprotein cholesterol (non-HDL-C), and plasma atherogenic index (AIP). Methods: This cross-sectional study included 16 049 participants from the Beijing Apple Garden community between December 2011 and August 2012. The subjects were divided into three groups based on the HGI quartile: low (n=5 388), medium (n=5 249), and high (n=5 412). The differences in blood lipid indicators between different HGI groups were compared and multivariate logistic regression model was established to analyze the association between HGI and dyslipidemia. And multivariate logistic regression model was established to analyze the relationship between HGI and blood lipid indicators in different glucose metabolism populations. Results: There were 16 049 participants in all (mean age: 56 years), including 10 452 women (65.1%). They were classified into normal glucose tolerance (9 093 cases), prediabetes (4 524 cases), and diabetes (2 432 cases) based on glucose tolerance status. In the general population, with the increase of HGI, LDL-C, non-HDL-C, and AIP gradually increased (all P values for trends were <0.05), and the proportion of abnormalities increased significantly (χ2=101.40, 42.91, 39.80; all P<0.001). A multivariate logistic regression model was established, which suggested a significant correlation between HGI and LDL-C, non-HDL-C, and AIP (all P<0.05), after adjusting for factors such as age, sex, fasting blood glucose, hypertension, body mass index, smoking, and alcohol consumption. In the overall population, normal glucose tolerance group, and diabetes group, HGI had the highest correlation with non-HDL-C (OR values of 1.325, 1.678, and 1.274, respectively); in the prediabetes group, HGI had a higher correlation with LDL-C (OR value: 1.510); and in different glucose metabolism groups, AIP and HGI were both correlated (OR: 1.208-1.250), but not superior to non-HDL-C and LDL-C. Conclusion: HGI was closely related to LDL-C, non HDL-C, and AIP in the entire population and people with different glucose metabolism, suggesting that HGI may be a predictor of atherosclerotic cardiovascular disease.

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