Long-Term Patterns in Cardiovascular Risk Factors and Their Time-Varying Impact on the Incidence of Cardiovascular Disease

心血管危险因素的长期模式及其对心血管疾病发病率的随时间变化的影响

• 批准号: 9138963
• 负责人: NORRINA Bai ALLEN
• 金额: $ 11.59万
• 依托单位: NORTHWESTERN UNIVERSITY AT CHICAGO
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-15 至 2017-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9138963
• 关键词: 18 year old; 6 year old; Accounting; Adult; Age; Atherosclerosis; Birth; Blood Pressure; Body Weight; Cardiovascular Diseases; Cardiovascular system; Cause of Death; Cessation of life; Child; Childhood; Clinical; Complex; Data; Development; Disease; Epidemic; Epidemiology; Event; Glucose; Health; Incidence; Individual; Life; Life Cycle Stages; Light; Lipids; Location; Longevity; Longitudinal Studies; Measures; Meta-Analysis; Methodology; Methods; Modeling; Outcome; Pattern; Population; Process; Publishing; Qualifying; Research; Research Personnel; Resources; Risk; Risk Factors; Statistical Methods; Statistical Models; Subgroup; Time; Work; base; cardiovascular health; cardiovascular risk factor; cohort; coronary artery calcification; disability; emerging adult; in utero; insight; interest; lifetime risk; middle age; novel; phenotypic data; prospective; survival outcome; young adult

 DESCRIPTION (provided by applicant): The development of cardiovascular disease starts early in life; however, data are sparse regarding the long- term patterns of cardiovascular risk factor levels starting in early adulthood and the occurrence of CVD later in life. Given the interest in CV health across the lifespan, pooling existing data from multiple cohorts to create a synthetic cohort enabling the study of CV health across the lifespan may provide critical insights. This approach is intuitively appealing, but methodologically complex. We propose to use data from The Lifetime Risk Pooling Project (including 21 studies, n=150,000) to create a synthetic cohort which can provide insight on how long-term patterns in cardiovascular health are associated with the incidence of CVD. We will utilize sophisticated statistical methods including multilevel multiple imputation to leverage the existing data to create a synthetic cohort Using this synthetic cohort we will be able to determine long-term trajectories, starting at age 18 in CV risk factors including blood pressure, body weight, lipids and glucose and their time-varying impact on the incidence of CVD. This study will provide a validated method by which multiple cohorts can be pooled together to create a synthetic cohort capable of examining the long-term trajectories in CV risk factor levels and their time-varying association with CVD events. While the development of the missing longitudinal data is methodologically complex, once created more traditional analytic methods can be used to examine a broad range of questions.

 描述（由适用提供）：心血管疾病的发展始于生命的早期；但是，关于成年初期心血管危险因素水平的长期模式以及CVD后期的发生，数据稀少。鉴于对整个生命周期中的简历健康的兴趣，从多个同类中汇集了现有数据，以创建合成队列，从而使整个寿命的CV健康研究可能会提供关键的见解。这种方法具有直觉上的吸引力，但在方法论上很复杂。我们建议使用终身风险池项目中的数据（包括21个研究，n = 150,000）来创建合成队列，该综合队列可以深入了解心血管健康中的长期模式与CVD的事​​件如何相关。我们将利用复杂的统计方法（包括多重级别的多重插补）来利用现有数据使用该合成队列创建合成队列，我们​​将能够确定长期的轨迹，从18岁开始，以血压，体重，脂质和葡萄糖和葡萄糖及其对CVD事件的影响。这项研究将提供一种经过验证的方法，可以通过该方法将多个队列汇总在一起，以创建一个合成队列，能够检查CV风险因素水平的长期轨迹及其与CVD事件的时间变化。尽管缺失的纵向数据的发展在方法论上是复杂的，但一旦创建了更传统的分析方法，就可以使用多种问题来研究。

项目成果

Development and Validation of a Large Synthetic Cohort for the Study of Cardiovascular Health Across the Life Span.

用于研究整个生命周期心血管健康的大型合成队列的开发和验证。

• DOI: 10.1093/aje/kwab137
• 发表时间: 2021
• 期刊: American journal of epidemiology
• 影响因子: 5
• 作者: Ning,Hongyan;Krefman,Amy;Zhao,Lihui;Wilkins,JohnT;Lloyd-Jones,DonaldM;Siddique,Juned;Allen,NorrinaB
• 通讯作者: Allen,NorrinaB