Gómez-Sánchez Leticia, Gómez-Sánchez Marta, Rodríguez-Sánchez Emiliano, Patino-Alonso Carmen, Alonso-Dominguez Rosario, Sanchez-Aguadero Natalia, Lugones-Sánchez Cristina, Llamas-Ramos Ines, García-Ortiz Luis, Gómez-Marcos Manuel A
Institute of Biomedical Research of Salamanca (IBSAL), 37007 Salamanca, Spain.
Primary Care Research Unit of Salamanca (APISAL), 37005 Salamanca, Spain.
J Clin Med. 2022 May 9;11(9):2671. doi: 10.3390/jcm11092671.
The objectives of this study were to analyse the capacity of different anthropometric indices to predict vascular ageing and this association in Spanish adult population without cardiovascular disease. A total of 501 individuals without cardiovascular disease residing in the capital of Salamanca (Spain) were selected (mean age: 55.9 years, 50.3% women), through stratified random sampling by age and sex. Starting from anthropometric measurements such as weight, height, and waist circumference, hip circumference, or biochemical parameters, we could estimate different indices that reflected general obesity, abdominal obesity, and body fat distribution. Arterial stiffness was evaluated by measuring carotid-femoral pulse wave velocity (cf-PWV) using a SphygmoCor device. Vascular ageing was defined in three steps: Step 1: the participants with vascular injury were classified as early vascular ageing (EVA); Step 2: classification of the participants using the 10 and 90 percentiles of cf-PWV in the study population by age and sex in EVA, healthy vascular ageing (HVA) and normal vascular ageing (NVA); Step 3: re-classification of participants with arterial hypertension or type 2 diabetes mellitus included in HVA as NVA. The total prevalence of HVA and EVA was 8.4% and 21.4%, respectively. All the analysed anthropometric indices, except waist/hip ratio (WHpR), were associated with vascular ageing. Thus, as the values of the different anthropometric indices increase, the probability of being classified with NVA and as EVA increases. The capacity of the anthropometric indices to identify people with HVA showed values of area under the curve (AUC) ≥ 0.60. The capacity to identify people with EVA, in total, showed values of AUC between 0.55 and 0.60. In conclusion, as the values of the anthropometric indices increased, the probability that the subjects presented EVA increased. However, the relationship of the new anthropometric indices with vascular ageing was not stronger than that of traditional parameters. Therefore, BMI and WC can be considered to be the most useful indices in clinical practice to identify people with vascular ageing in the general population.
本研究的目的是分析不同人体测量指标预测血管老化的能力以及这种关联在西班牙无心血管疾病成年人群中的情况。通过按年龄和性别进行分层随机抽样，共选取了501名居住在西班牙萨拉曼卡市的无心血管疾病个体（平均年龄：55.9岁，女性占50.3%）。从体重、身高、腰围、臀围等人体测量指标或生化参数出发，我们可以估算出反映全身肥胖、腹部肥胖和体脂分布的不同指标。使用SphygmoCor设备通过测量颈股脉搏波速度（cf-PWV）来评估动脉僵硬度。血管老化按三个步骤定义：步骤1：将有血管损伤的参与者归类为早期血管老化（EVA）；步骤2：根据研究人群中按年龄和性别划分的cf-PWV的第10和第90百分位数，将参与者分为EVA、健康血管老化（HVA）和正常血管老化（NVA）；步骤3：将HVA中患有动脉高血压或2型糖尿病的参与者重新归类为NVA。HVA和EVA的总患病率分别为8.4%和21.4%。除腰臀比（WHpR）外，所有分析的人体测量指标均与血管老化相关。因此，随着不同人体测量指标值的增加，被归类为NVA和EVA的概率增加。人体测量指标识别HVA人群的能力显示曲线下面积（AUC）值≥0.60。总体而言，识别EVA人群的能力显示AUC值在0.55至0.60之间。总之，随着人体测量指标值的增加，受试者出现EVA的概率增加。然而，新的人体测量指标与血管老化的关系并不比传统参数更强。因此，在临床实践中，BMI和WC可被认为是识别普通人群中血管老化人群最有用的指标。
