Taixing People's Hospital, Taixing, Jiangsu, China.
Huzhou University, Huzhou, Zhejiang, China.
Sci Rep. 2024 Nov 16;14(1):28345. doi: 10.1038/s41598-024-80015-y.
To explore the formula for calculating the haemoglobin glycation index (HGI) in an appropriate Chinese population. Evaluating the applicability of the HGI calculation formula proposed by Hempe et al. in the Chinese population; according to the data from CHARLS 2011, 10,587 self-reported nondiabetics aged 20 years and older were selected as the study subjects, regression equations were constructed to fit the linear relationship between HbA1c and FPG in the population, and the profile characteristics of the resultant population were analysed. The standardized HGI formula put forth by Hempe and colleagues has been found unsuitable for application to the Chinese population. Leveraging CHARLS dataset, we derive a novel HGI calculation formula tailored to the Chinese demographic: HGI = Measured HbA1c-Predicted HbA1c, where Predicted HbA1c = 0.011×FPG + 4.032. We found statistically significant differences in HGI among obese individuals; those with higher waist circumference, total cholesterol levels, LDL levels, diastolic blood pressure and those with lower HDL levels. The HGI calculation formula proposed using CHARLS data is more applicable to the Chinese population and can be used as a standardised HGI to Chinese.
探索适用于中国人的血红蛋白糖化指数（HGI）计算公式。评估 Hempe 等人提出的 HGI 计算公式在中国人群中的适用性；根据 CHARLS2011 年的数据，选择了 10587 名年龄在 20 岁及以上的自我报告的非糖尿病患者作为研究对象，构建回归方程以拟合人群中 HbA1c 与 FPG 之间的线性关系，并分析由此产生的人群的特征。Hempe 及其同事提出的标准化 HGI 公式不适用于中国人。利用 CHARLS 数据集，我们得出了一个适用于中国人的新的 HGI 计算公式：HGI=Measured HbA1c-Predicted HbA1c，其中 Predicted HbA1c=0.011×FPG+4.032。我们发现 HGI 在肥胖个体、腰围、总胆固醇、低密度脂蛋白、舒张压较高和高密度脂蛋白较低的个体中存在显著差异。使用 CHARLS 数据提出的 HGI 计算公式更适用于中国人群，可以作为中国人的标准化 HGI。
