PREDICTORS OF CARDIOVASCULAR DISEASE IN THE ELDERLY

有证据表明，心血管危险因素， 通过研究发现，中年人群可能不具有相同的 老年人的预测价值;特别是75岁的“最老的老人”， 以上本提案寻求支持，以评估与下列方面有关的因素： 795名男性和女性的心血管发病率和死亡率 在进行全面检查时年龄在75岁或以上 在1984年到1987年间。这群人是兰乔贝尔纳多的一个子集 慢性疾病研究，所有受试者的其他数据可用 从平均12年前（1972-74）的访问。必需的所有数据 已收集了建议的分析。（其他事件可能 从未来的年度发病率调查问卷和年度死亡率中获得 后续行动-两者都得到其他来源的支持）。死亡率 超过99%的受试者完成随访， 心肌梗死、冠状动脉搭桥手术 和中风这个独特的数据库包括测量，将允许： 1)对推定心血管风险影响的前瞻性分析 老年人疾病发病率的因素，2）前瞻性分析， 危险因素变化对老年人事件的影响，3）探索 与心血管事件无典型相关的风险因素 年轻的人群，但这可能是重要的，在非常老，和，4） 对老年人群中假定危险因素的横断面描述。 该数据库是为其他目的而建立的， 没有规定对这些数据进行研究，以评估与这些数据有关的假设。 变老请求提供3年的支助，以进行分析和编写 利用这一独特的资源。

Evidence suggests that cardiovascular risk factors which have been identified by study of middle-aged populations may not have the same predictive value in the elderly; especially the "oldest old" aged 75 and above. This proposal seeks support to evaluate factors associated with cardiovascular morbidity and mortality in a cohort of 795 men and women aged 75 years or older at the time of a comprehensive examination conducted between 1984 and 1987. This cohort is a subset of the Rancho Bernardo Chronic Disease Study, and additional data is available for all subjects from a visit which averaged 12 years earlier (1972-74). All data necessary for the proposed analyses have been collected. (Additional events may be obtained from future annual morbidity questionnaires, and annual mortality follow-up -- both of which are supported by other sources). Mortality follow-up is complete for over 99% of subjects, and incident morbidity information is available for myocardial infarction, coronary bypass surgery and stroke. This unique database includes measurements which will allow: 1) prospective analyses of the effects of putative cardiovascular risk factors on disease incidence in the elderly, 2) prospective analyses of the impact of change in risk factors on events in the elderly, 3) exploration of risk factors not classically associated with cardiovascular events in younger populations but which may be important in the very old, and, 4) cross-sectional description of putative risk factors in an aged population. This database has been assembled for other purposes, the funding for which does not provide for study of these data to assess such hypotheses related to aging. Support is requested for 3 years to conduct analyses and prepare reports utilizing this unique resource.