Liu Yingshan, Liu Xiaocong, Guan Haixia, Zhang Shuting, Zhu Qibo, Fu Xiaoying, Chen Hongmei, Tang Songtao, Feng Yingqing, Kuang Jian
Department of Endocrinology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Front Cardiovasc Med. 2021 Nov 18;8:736073. doi: 10.3389/fcvm.2021.736073. eCollection 2021.
Individuals with both hypertension and diabetes have been confirmed to significantly increase the risk of cardiovascular disease morbidity and mortality compared with those with only hypertension or diabetes. This study aimed to evaluate the potential of different anthropometric indices for predicting diabetes risk among hypertensive patients. The study group consisted of 6,990 hypertensive adults without diabetes who were recruited in China. Demographic and clinical assessment, physical examinations, laboratory tests, and anthropometric measurements, including body mass index (BMI), waist circumference (WC), hip circumference (HC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), and novel indices (ABSI, AVI, BAI, BRI, CI, WWI, and WHHR), were performed at baseline and during the (median) 3-year follow-up. Cox regression analyses were conducted to estimate effects from these indices for the onset of diabetes. Receiver operator characteristic (ROC) analyses were conducted to assess the predictive capacities of the anthropometric indices and determine the optimal cut-points. A total of 816 (11.7%) developed diabetes during our prospective study. Multivariate Cox regression analyses revealed weight, WC, WHR, WHtR, BAI, BRI, and WWI as the independent risk factor for diabetes among hypertensive patients, regardless of whether it was treated as a continuous or categorical variable ( < 0.05). Further Cox analyses combining BMI and different central obesity indices showed that elevated WC, WHR, WHtR, AVI, BRI, CI, regardless of the general obesity status, were found to be each independently associated with increased diabetes risk ( < 0.05). Dynamic increases of BRI < 5.24 to BRI ≥ 5.24 were associated with increased risk (HR = 1.29; 95% CI, 1.02, 1.64), and its reversal was associated with reduced risk (HR = 1.56; 95% CI, 1.23, 1.98) compared with the others (HR = 1.95; 95% CI, 1.63, 2.32). ROC analysis indicated that the areas under the ROC curves (AUC) of the anthropometric indices ranged from 0.531 to 0.63, with BRI (cut-off value = 4.62) and WHtR having the largest area. Based on this novel study, BRI was the most superior predictor and independent determinant for diabetes onset among the hypertensive population. Hypertensive patients with BRI > 4.62, regardless of general obesity status, were at high risk of diabetes. Thus, the prompt screening and diagnosis of diabetes should be carried out among these patients for timely integrated intervention.
与仅患有高血压或糖尿病的患者相比,已证实同时患有高血压和糖尿病的个体显著增加了心血管疾病发病和死亡的风险。本研究旨在评估不同人体测量指标预测高血压患者糖尿病风险的潜力。研究组由在中国招募的6990名无糖尿病的高血压成年患者组成。在基线和(中位)3年随访期间进行了人口统计学和临床评估、体格检查、实验室检查以及人体测量,包括体重指数(BMI)、腰围(WC)、臀围(HC)、腰臀比(WHR)、腰高比(WHtR)以及新指标(ABSI、AVI、BAI、BRI、CI、WWI和WHHR)。进行Cox回归分析以估计这些指标对糖尿病发病的影响。进行受试者工作特征(ROC)分析以评估人体测量指标的预测能力并确定最佳切点值。在我们的前瞻性研究中,共有816名(11.7%)患者患糖尿病。多变量Cox回归分析显示,体重、WC、WHR、WHtR、BAI、BRI和WWI是高血压患者患糖尿病的独立危险因素,无论将其视为连续变量还是分类变量(P<0.05)。进一步结合BMI和不同中心性肥胖指标的Cox分析表明,无论总体肥胖状况如何,WC、WHR、WHtR、AVI、BRI、CI升高均各自独立与糖尿病风险增加相关(P<0.05)。与其他指标(HR=1.95;95%CI:1.63,2.32)相比,BRI从<5.24动态增加到≥5.24与风险增加相关(HR=1.29;95%CI:1.02,1.64)及其逆转与风险降低相关(HR=1.56;95%CI:1.23,1.98)。ROC分析表明,人体测量指标的ROC曲线下面积(AUC)范围为0.531至0.63,其中BRI(临界值=4.62)和WHtR面积最大。基于这项新研究,BRI是高血压人群中糖尿病发病的最优越预测指标和独立决定因素。BRI>4.62的高血压患者,无论总体肥胖状况如何,均处于糖尿病高风险。因此,应在这些患者中及时进行糖尿病筛查和诊断,以便进行及时的综合干预。