Department of Internal Medicine, Clinical Research Unit, Regional Hospital of Bellinzona and Valli, Ente Ospedaliero Cantonale, Bellinzona, Switzerland.
Faculty of Biomedicine, Università della Svizzera Italiana, Lugano, Switzerland.
Aging Dis. 2024 May 7;15(3):1373-1383. doi: 10.14336/AD.2023.0823.
Arterial stiffness is an indicator of vascular health, influenced by both pathological conditions and physiological determinants, noticeably age. Augmentation index (AI) and pulse wave velocity (PWV) are used among others to assess arterial stiffness. Several risk factors may contribute to pathologically increase arterial stiffness and produce early vascular aging. Our study aims to assess the impact of individual risk factors on vascular health, evaluating the distribution of PWV and AI values in a cohort of adult people without modifiable cardiovascular risk factors while analyzing their role in accelerating vascular ageing. We performed a secondary analysis of a Swiss population-based research project, which took place in 2017 and 2018. Of the 1202 participants originally enrolled, 1097 were included in the final sample. The population was divided into without (n=388) and with risk factors (n=709), based on the presence of the following: smoking, diabetes, previous cardiovascular disease (CVD), chronic kidney disease stage 3 or more, LDL cholesterol ≥ 4.11 or treatment with hypolipidemic drugs, hypertension or treatment with antihypertensive drugs, and metabolic syndrome. Tonometric and oscillometric devices were employed to assess PWV, and the 75th percentiles of PWV and AI in the population without risk factors were calculated to identify cut-offs for the logistic regression analysis. We developed nomograms by assigning a numerical score to each independent prognostic factor; the total score estimating the probability of PWVs and AIs being over the defined cut-offs. Patients with hypertension, diabetes, and obesity showed higher PWV values (p < 0.001). In the univariate logistic regression, factors predictive for higher PWV values were diabetes, CVDs, hypercholesterolemia, and hypertension, while CVDs, antihyperlipidemic treatment, hypertension, and increased BMI were predictive in the multivariate logistic regression. Smoking did not significantly influence arterial stiffness parameters. The present study provides reference values for PWV and AI in subjects without modifiable cardiovascular risk factors and, through nomograms, a risk score stratification to assess the impact of individual risk factors on vascular health.
动脉僵硬度是血管健康的一个指标,受到病理条件和生理决定因素的影响,尤其是年龄。 脉搏波速度(PWV)和增强指数(AI)等用于评估动脉僵硬度。 一些危险因素可能导致动脉僵硬度病理性增加并产生早期血管老化。 我们的研究旨在评估个体危险因素对血管健康的影响,评估无可改变心血管危险因素的成年人队列中 PWV 和 AI 值的分布,同时分析它们在加速血管老化中的作用。 我们对 2017 年和 2018 年进行的瑞士基于人群的研究项目进行了二次分析。在最初纳入的 1202 名参与者中,有 1097 名纳入最终样本。根据以下因素,将人群分为无危险因素(n=388)和有危险因素(n=709)组:吸烟、糖尿病、既往心血管疾病(CVD)、慢性肾脏病 3 期或更高级别、LDL 胆固醇≥4.11 或使用降脂药物、高血压或使用降压药物和代谢综合征。使用示波和振荡设备评估 PWV,并计算无危险因素人群中 PWV 和 AI 的第 75 百分位数,以确定逻辑回归分析的截止值。我们通过为每个独立的预后因素分配一个数值评分来制定列线图;总评分估计 PWV 和 AI 超过定义截止值的概率。患有高血压、糖尿病和肥胖症的患者 PWV 值较高(p<0.001)。在单变量逻辑回归中,预测更高 PWV 值的因素为糖尿病、CVDs、高胆固醇血症和高血压,而在多变量逻辑回归中,预测因素为 CVDs、降脂治疗、高血压和 BMI 增加。吸烟对动脉僵硬度参数没有显著影响。本研究为无可改变心血管危险因素的受试者提供了 PWV 和 AI 的参考值,并通过列线图对个体危险因素对血管健康的影响进行风险评分分层。