Evaluation of Non-invasive Measurements of Atherosclerosis in Cardiovascular Risk Stratification: a Study in a Population-based Cohort and Familial Combined Hyperlipidemia
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 1,960
- 试验地点
- 1
- 主要终点
- Cardiovascular events
研究概览
简要总结
Multiple risk factors contribute to atherosclerosis, which ultimately results in clinical manifestation of cardiovascular disease. Atherosclerosis results in both functional and morphological changes in the vessel wall, which can be measured by ultrasonography. The current study has been designed to
- To evaluate whether non-invasive measurements of atherosclerosis are independent predictors of cardiovascular disease and
- to delineate new biochemical parameters and genetic variations, allowing earlier and more effective preventive therapy
- The investigators intend to set guidelines for use of NIMA in an outpatient setting to facilitate early detection of increased cardiovascular risk and monitor life-style and pharmaceutical interventions.
In both the general population and in Familial Combined Hyperlipidemia.
详细描述
Cardiovascular disease (CVD) is the major cause of death in all developed countries. Atherosclerosis is the main cause of CVD. Abundant evidence indicates the 4 major independent risk factors for atherosclerosis and CVD include cigarette smoking, elevated blood pressure, elevated total cholesterol and diabetes mellitus. However, a major problem in clinical medicine is that at every level of risk factor exposure, there is a large inter-individual variation in the amount of atherosclerosis and the development of CVD. Therefore, it is difficult to predict the CVD risk in an individual patient based on risk factor screening alone.
Non-invasive measurements of atherosclerosis (NIMA): An indicator of the overall effect of all known and unknown potential risk factors for atherosclerosis in vivo can be assessed by measuring atherosclerosis directly in the vessel wall. This also provides the opportunity to measure atherosclerosis before developing symptoms of CVD, as changes in the arterial wall precede clinical symptoms of CVD.
Objectives: (1)The main objective is to evaluate whether NIMA are independent predictors of CVD and thus add information to traditional risk factor stratification. (2) Furthermore, we will delineate new biochemical and genetic risk factors, allowing earlier and more effective preventive therapy. (3) We intend to set guidelines for use of NIMA in an outpatient setting to facilitate early detection of increased cardiovascular risk and monitor life-style and pharmaceutical interventions.
We will evaluate 4 different NIMA, based on ultrasound and tonometry techniques, including intima media thickness (IMT), endothelial function by flow mediated dilation (FMD), ankle-brachial index (ABI), Pulse Wave Analyses(PWA) and pulse wave velocity (PWV). The power of NIMA, to predict cardiovascular events will be studied in two available populations, a low risk population cohort, the Nijmegen Biomedical Study (NBS) and a high risk population, families with Familial Combined Hyperlipidemia.
The NBS is a prospective population survey aimed at investigating the frequency of genetic variations in the general population. The study population is recruited as a sex- and age-stratified random sample of all inhabitants of Nijmegen 20 to 90 years old (n=10.000). Recruitment has started in October 2001. The present study is a substudy in the NBS. A follow-up approach will be used to evaluate whether NIMA are related to future cardiovascular events. In total 1517 participants aged 50-70 years were included.
研究设计
- 研究类型
- Observational
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 —(Adult, Older Adult)
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •aged 50-70 years at inclusion
排除标准
- •recent symptomatic CV disease (<6 months)
- •Familial Combined Hyperlipidemia:
- •Inclusion Criteria:
- •age >18 years
- •Exclusion Criteria:
- •pregnancy
结局指标
主要结局
Cardiovascular events
时间窗: 3-7 years
Fatal and non-fatal cardiovascular events will be evaluated by questionnaire and validated using hospital records and records from general practitioners.
次要结局
未报告次要终点
研究者
Jacqueline de Graaf
Prof. Dr. J. de Graaf
Radboud University Medical Center
