Cheng Wenke, Zhuang Jingqi, Chen Siwei
Medical Faculty, University of Leipzig, Leipzig, Germany.
Department of Admission and Follow-Up, Lintong Rehabilitation and Recuperation Center, Xian, China.
Front Cardiovasc Med. 2022 Jul 7;9:938363. doi: 10.3389/fcvm.2022.938363. eCollection 2022.
In clinical practice, it is frequently observed that patients with hypertension often coexist with dyslipidemia. However, studies on atherosclerotic indices and the prevalence of hypertension are still limited. The purpose of this study was to assess the relationship between atherosclerotic indices and the prevalence of hypertension in Chinese adults without type 2 diabetes mellitus.
In this paper, a cross-sectional study was conducted based on 117,056 adults in 11 Chinese cities (Shanghai, Beijing, Wuhan, Suzhou, Shenzhen, Changzhou, Nantong, Guangzhou, Hefei, Nanjing, and Chengdu) from 2010 to 2016. Besides, the raw data was obtained from the public database (www.Datadryad.org), while eight atherosclerosis indices namely the atherogenic coefficient (AC), Castelli's risk index I (CRI-I) and II (CRI-II), the atherogenic index of plasma (AIP), the cholesterol index, the lipoprotein combined index (LCI), non-high-density lipoprotein cholesterol (non-HDL-C) and triglycerides/high-density lipoprotein cholesterol (TG/HDL-C) were analyzed in this study. Apart from that, two groups of continuous variables were measured using the Mann-Whitney test, and categorical variables were analyzed using the Chi-square test. Differences between multiple groups of continuous variables were investigated using Kruskal-Wallis one-way analysis of variance (ANOVA) and Dunn's test. Furthermore, Spearman correlation analysis and multivariate logistic regression analyses were performed to assess the relationship between atherosclerotic indices and blood pressure levels, and the prevalence of hypertension, respectively. The results of multivariate logistic regression analyses were expressed as the odds ratio (OR) and their corresponding 95% confidence intervals (CIs). Moreover, the receiver operating characteristic (ROC) curve was depicted to further analyze the predictive value of the atherosclerotic indices on the prevalence of hypertension.
The atherosclerosis indices were higher in the hypertensive population compared to those in the normotensive population. Meanwhile, systolic blood pressure (SBP) and diastolic blood pressure (DBP) were linearly and positively correlated with atherosclerotic indices. In addition, multivariate logistic regression analysis showed that the cholesterol index and non-HDL-C were observed to be positively associated with the prevalence of hypertension ( < 0.05). Moreover, the prevalence of hypertension increased by 3.7% (OR: 1.037; 95% CI: 1.009-1.065; = 0.009) and 6.1% (OR: 1.06; 95% CI: 1.033-1.091; < 0.001), respectively, as per 1-standard deviation (SD) increase in the cholesterol index and non-HDL-C. Beyond that, ROC analysis demonstrated that the cholesterol index and non-HDL-C have a good predictive value for the prevalence of hypertension in women, with under the ROC curve (AUC) of 0.659 and 0.684 and cut-off values of 47.94 and 134.34 mg/dl, accordingly.
In Chinese adults without type 2 diabetes mellitus, atherosclerotic indices were significantly higher in hypertensive populations compared with those in normotensive populations, regardless of hypertension levels. Meanwhile, SBP and DBP were linearly and positively related to atherosclerotic indices. Besides, the cholesterol index and non-HDL-C were independent risk factors for the prevalence of hypertension, and they could be adopted for effectively predicting the prevalence of hypertension in women.
在临床实践中,经常观察到高血压患者常与血脂异常并存。然而,关于动脉粥样硬化指标与高血压患病率的研究仍然有限。本研究的目的是评估中国非2型糖尿病成年人的动脉粥样硬化指标与高血压患病率之间的关系。
本文基于2010年至2016年中国11个城市(上海、北京、武汉、苏州、深圳、常州、南通、广州、合肥、南京和成都)的117,056名成年人进行了一项横断面研究。此外,原始数据来自公共数据库(www.Datadryad.org),本研究分析了八个动脉粥样硬化指标,即致动脉粥样硬化系数(AC)、卡斯泰利风险指数I(CRI-I)和II(CRI-II)、血浆致动脉粥样硬化指数(AIP)、胆固醇指数、脂蛋白综合指数(LCI)、非高密度脂蛋白胆固醇(non-HDL-C)和甘油三酯/高密度脂蛋白胆固醇(TG/HDL-C)。除此之外,两组连续变量采用曼-惠特尼检验进行测量,分类变量采用卡方检验进行分析。多组连续变量之间的差异采用克鲁斯卡尔-沃利斯单向方差分析(ANOVA)和邓恩检验进行研究。此外,进行了斯皮尔曼相关性分析和多变量逻辑回归分析,分别评估动脉粥样硬化指标与血压水平以及高血压患病率之间的关系。多变量逻辑回归分析的结果以比值比(OR)及其相应的95%置信区间(CIs)表示。此外,绘制了受试者工作特征(ROC)曲线,以进一步分析动脉粥样硬化指标对高血压患病率的预测价值。
高血压人群的动脉粥样硬化指标高于血压正常人群。同时,收缩压(SBP)和舒张压(DBP)与动脉粥样硬化指标呈线性正相关。此外,多变量逻辑回归分析显示,胆固醇指数和非HDL-C与高血压患病率呈正相关(<0.05)。此外,随着胆固醇指数和非HDL-C每增加1个标准差(SD),高血压患病率分别增加3.7%(OR:1.037;95%CI:1.009-1.065;=0.009)和6.1%(OR:1.06;95%CI:1.033-1.091;<0.001)。除此之外,ROC分析表明,胆固醇指数和非HDL-C对女性高血压患病率具有良好的预测价值,相应的ROC曲线下面积(AUC)分别为0.659和0.684,截断值分别为47.94和134.34mg/dl。
在中国非2型糖尿病成年人中,无论高血压水平如何,高血压人群的动脉粥样硬化指标均显著高于血压正常人群。同时,SBP和DBP与动脉粥样硬化指标呈线性正相关。此外,胆固醇指数和非HDL-C是高血压患病率的独立危险因素,它们可用于有效预测女性高血压患病率。