Dong W J, Pang P, Song L Y, Sun D, Yan S J, Yang G Q, Mu Y M, Gu W J
Department of Endocrinology, the First Medical Center of Chinese PLA General Hospital, Beijing100039, China Department of Endocrinology, Hainan Hospital of Chinese PLA General Hospital, Sanya572013, China.
Department of Endocrinology, Hainan Hospital of Chinese PLA General Hospital, Sanya572013, China.
Zhonghua Nei Ke Za Zhi. 2024 Dec 1;63(12):1228-1237. doi: 10.3760/cma.j.cn112138-20240822-00528.
To explore the relationship between glycosylated hemoglobin A/high-density lipoprotein cholesterol ratio (HbA/HDL-C) and urinary albumin-creatinine ratio (UACR) in Chinese adults. In this cross-sectional study, the clinical data of 43 820 community residents (age>40 years) from the Risk Evaluation of Cancers in Chinese Diabetic Individuals (REACTION study; March-December 2012) across eight centers (Liaoning, Guangdong, Shanghai, Gansu, Guangxi, Henan, Hubei, and Sichuan) in China were collected and analyzed. Participants were divided into three groups based on UACR levels:<10 mg/g, 10-30 mg/g, and >30 mg/g. The HbA/HDL-C ratio was divided into four groups according to quartile division of the subjects: 1st quartile (Q1<3.79), 2nd quartile (3.79≤Q2<4.59), 3rd quartile (4.59≤Q3≤5.66), and 4th quartile (Q4>5.66). Multivariate ordinal logistic regression model was used to analyze the relationship between HbA/HDL-C and UACR. Receiver operating characteristic (ROC) analysis was used to explore the predictive value of HbA/HDL-C to UACR. The 43 820 subjects included 13 452 (30.70%) male and 30 378 (69.30%) female patients, with an average age of (58.00±0.05) years. According to results of one-way analysis of variance analysis, the HbA/HDL-C ratio was significantly associated with the risk of increased UACR (=495.73, <0.001). After adjusting for clinically relevant confounding variables in logistic regression model, compared with participants with the lowest HbA/HDL-C ratio (Q1), women with the highest HbA/HDL-C ratio (Q4) had a 1.483-fold (95% 1.376-1.598, <0.001) and men had a 1.161-fold (95% 1.019-1.323, <0.001) increased risk of UACR. The ROC curve analysis showed that the area under the curve of HbA/HDL-C for predicting increased UACR was 0.623 (95% 0.597-0.606), with a sensitivity of 60.18% and a specificity of 54.91%. The HbA/HDL-C ratio showed the highest predictive value of all glycemic and lipidemic parameters. In individuals with well-controlled blood glucose (HbA<6.5%) or lipid levels (HDL-C≥1.0 mmol/L), the HbA/HDL-C ratio was still independently associated with the risk of increased UACR after adjusting for confounding variables [(95%) of quartile 4: 1.563 (1.210-2.019, =0.001) in participants with HbA<6.5% and 1.822 (1.687-1.968, <0.001) in participants with HDL-C≥1.0 mmol/L]. As a novel compound indicator for evaluating glucose homeostasis and dyslipidemia, the HbA/HDL-C ratio was independently associated with increased UACR in the general population aged>40 years in China, which was superior to both glycemic and lipid parameters alone.
探讨中国成年人糖化血红蛋白A/高密度脂蛋白胆固醇比值(HbA/HDL-C)与尿白蛋白肌酐比值(UACR)之间的关系。在这项横断面研究中,收集并分析了来自中国八个中心(辽宁、广东、上海、甘肃、广西、河南、湖北和四川)的中国糖尿病患者癌症风险评估(REACTION研究;2012年3月至12月)中43820名社区居民(年龄>40岁)的临床资料。根据UACR水平将参与者分为三组:<10 mg/g、10 - 30 mg/g和>30 mg/g。根据受试者的四分位数划分将HbA/HDL-C比值分为四组:第一四分位数(Q1<3.79)、第二四分位数(3.79≤Q2<4.59)、第三四分位数(4.59≤Q3≤5.66)和第四四分位数(Q4>5.66)。采用多变量有序逻辑回归模型分析HbA/HDL-C与UACR之间的关系。采用受试者工作特征(ROC)分析来探讨HbA/HDL-C对UACR的预测价值。43820名受试者包括13452名(30.70%)男性和30378名(69.30%)女性患者,平均年龄为(58.00±0.05)岁。根据方差分析的结果,HbA/HDL-C比值与UACR升高风险显著相关(F = 495.73,P<0.001)。在逻辑回归模型中调整临床相关混杂变量后,与HbA/HDL-C比值最低(Q1)的参与者相比,HbA/HDL-C比值最高(Q4)的女性UACR升高风险增加1.483倍(95%CI 1.376 - 1.598,P<0.001),男性增加1.161倍(95%CI 1.019 - 1.323,P<0.001)。ROC曲线分析显示,HbA/HDL-C预测UACR升高的曲线下面积为0.623(95%CI 0.597 - 0.606),敏感性为60.18%,特异性为54.91%。HbA/HDL-C比值在所有血糖和血脂参数中显示出最高的预测价值。在血糖控制良好(HbA<6.5%)或血脂水平良好(HDL-C≥1.0 mmol/L)的个体中,调整混杂变量后,HbA/HDL-C比值仍与UACR升高风险独立相关[四分位数4的(95%CI):HbA<6.5%的参与者中为1.563(1.210 - 2.019,P = 0.001),HDL-C≥1.0 mmol/L的参与者中为1.822(1.687 - 1.968,P<0.001)]。作为评估血糖稳态和血脂异常的一种新型复合指标,HbA/HDL-C比值与中国年龄>40岁的普通人群中UACR升高独立相关,其优于单独的血糖和血脂参数。