Division of Cardiovascular Medicine and Data Science Initiative, University of Maryland School of Medicine and the VA Medical Center, Baltimore, Maryland, USA.
Office of Biostatistics Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.
J Am Coll Cardiol. 2023 Mar 28;81(12):1151-1161. doi: 10.1016/j.jacc.2023.01.024.
The quantitative relationship of incident cardiovascular disease (CVD) to lifetime cumulative risk factor exposure is not well understood.
Using CARDIA (Coronary Artery Risk Development in Young Adults) study data, we examined the quantitative associations of cumulative exposure over time to multiple, simultaneously operating risk factors with CVD incidence and the incidence of its components.
Regression models were developed quantifying the influence of the time course and severity of multiple CVD risk factors, operating simultaneously, on risk of incident CVD. The outcomes were incident CVD and the incidence of its components: coronary heart disease, stroke, and congestive heart failure.
Our study included 4,958 asymptomatic adults enrolled in CARDIA from 1985 to 1986 (ages 18 to 30 years) who were followed for 30 years. Risk of incident CVD depends on the time course and severity of a series of independent risk factors, the impact of which is mediated by their effects on individual CVD components after age 40 years. Cumulative exposure (AUC vs time) to low-density lipoprotein cholesterol and triglycerides was independently associated with risk of incident CVD. Of the blood pressure variables, areas under the mean arterial pressure vs time curve and the pulse pressure vs time curve were strongly and independently associated with incident CVD risk.
The quantitative description of the link between risk factors and CVD informs the construction of individualized CVD mitigation strategies, design of primary prevention trials, and assessment of public health impact of risk factor-based interventions.
心血管疾病(CVD)事件与终生累积风险因素暴露之间的定量关系尚未得到很好的理解。
利用 CARDIA(年轻人冠状动脉风险发展)研究数据,我们研究了随时间推移,多种同时作用的风险因素的累积暴露与 CVD 事件发生及其组成部分的发生之间的定量关联。
开发了回归模型,定量评估了同时作用的多种 CVD 风险因素的时间进程和严重程度对 CVD 事件发生风险的影响。结局是 CVD 事件及其组成部分的发生:冠心病、中风和充血性心力衰竭。
我们的研究包括 1985 年至 1986 年期间从 CARDIA 招募的 4958 名无症状成年人(年龄 18 至 30 岁),随访 30 年。CVD 事件的风险取决于一系列独立风险因素的时间进程和严重程度,其影响通过它们对 40 岁以后个体 CVD 组成部分的影响来介导。低密度脂蛋白胆固醇和甘油三酯的累积暴露(AUC 与时间)与 CVD 事件发生的风险独立相关。在血压变量中,平均动脉压与时间曲线下面积和脉压与时间曲线下面积与 CVD 事件发生风险密切相关。
对风险因素与 CVD 之间的关联进行定量描述,可以为制定个体化 CVD 缓解策略、设计初级预防试验以及评估基于风险因素的干预措施对公共卫生的影响提供信息。