The VALIDATE study

这是一项纵向的观察性研究，不包括任何干预。有三个学习小组。第一组由无已知冠状动脉疾病的BLSA参与者组成；第二组由冠状动脉钙化评分低于其年龄和性别的第25百分位数的个人组成；第三组由患有早发性冠状动脉疾病的个人组成(女性在60岁时确诊，男性在50岁时确诊)或冠状动脉钙化评分大于他们的年龄和性别的第50百分位数。 上面列出的第二组和第三组的参与者是从约翰·霍普金斯医疗机构招募的。征聘工作已经完成，研究的纵向部分正在进行，所有第二次访问的80%都已完成。正在对第一次访问进行分析，以评估横断面调查结果，一旦完成所有第二次访问，可将这些结果扩展为纵向分析。 对完成重复测量的子样本的数据进行初步纵向分析，不足以发现纵向变化。目前，根据最初的电力分析计算，正在对其余符合条件的参与者进行反复访问。 未来的分析计划： 1.使用血管参数进行横断面回归分析预测年龄，并根据BLSA队列构建钙评分在25%-75%百分位数范围内的预测公式。预测值称为动脉年龄。 2.应用该方程预测成功老年组和加速老年组的血管年龄，并检验时间顺序与动脉年龄之间的关系 3.用随访时间(年龄)代替年龄，用动脉参数的变化代替横断值，对纵向数据进行重复分析。预测值将代表动脉老化，并将与不同组中的血管老化相关。 4.根据单变量和多组变量确定动脉老化良好的BLSA参与者。在其他组中查找对所选变量有相似配置文件的受试者。

This is a longitudinal, observational study, which does not include any intervention. There are three study groups. The first group consists of BLSA participants without known coronary disease; the second consists of individuals with a coronary artery calcium score less than the 25th percentile for their age and gender; the third group consists of individuals with premature coronary artery disease (diagnosis made at age <60 in females and <50 in males) or with a coronary calcium score which is greater than the 50th percentile for their age and gender. Participants in the second and third group listed above are recruited from the Johns Hopkins Medical Institutions. Recruitment has been completed and the longitudinal portion of the study is ongoing with 80 percent of all second visits completed. Analysis of the first visits is being conducted to assess cross sectional findings which can then be expanded to a longitudinal analysis once all second visits are completed. Preliminary longitudinal analysis of data from a subsample that had completed repeated measures was underpowered to detect longitudinal changes. Currently, repeated visits are being performed on the remaining eligible participants per the original power analysis calculations. The future analytic plan: 1. Perform cross-sectional regression analysis to predict age using vascular parameters and construct the prediction formula from the BLSA cohort with Calcium score within 25-75% percentile. The predicted value is referred to as arterial age. 2. Apply the equation to predict vascular age for the successful and accelerated aging group and then examine the relationship between chronological and arterial age 3. Repeat the analysis on the longitudinal data using follow-up time (aging) instead of age and the change of the arterial parameters instead of the cross-sectional value. The predicted values would represent arterial aging and would be correlated with vascular aging in the different groups. 4. Identify BLSA participants with good arterial aging based on single variables and on groups of variables. Find subjects in other groups who have similar profiles on the selected variables.