The VALIDATE study

这是一项纵向观察性研究，不包括任何干预措施。有三个研究小组。第一组由没有已知的冠状动脉疾病的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25百分位数的个体组成;第三组由患有早发冠状动脉疾病的个体组成（女性在年龄<60时诊断，男性在年龄<50时诊断）或冠状动脉钙评分大于其年龄和性别的第50百分位数。 上述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。招募已完成，研究的纵向部分正在进行中，所有第二次访视中有近一半已完成。正在对第一次访问进行分析，以评估横截面调查结果，一旦所有第二次访问完成，就可以扩大到纵向分析。 初步的纵向分析的数据从一个子样本，已完成重复的措施是不够的，以检测纵向变化。目前，根据原始把握度分析计算，正在对其余合格受试者进行重复访视。 未来分析计划： 1.进行横断面回归分析，使用血管参数预测年龄，并根据钙评分在25-75%百分位数范围内的BLSA队列构建预测公式。预测值被称为动脉年龄。 2.应用该方程预测成功老化组和加速老化组的血管年龄，然后检查实足年龄和动脉年龄之间的关系 3.用随访时间（老化）代替年龄，用动脉参数变化代替横断面值，对纵向数据重复分析。预测值将代表动脉老化，并与不同组中的血管老化相关。 4.根据单个变量和变量组识别动脉老化良好的BLSA参与者。在其他组中查找在选定变量上具有相似特征的受试者。

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 nearly one-half 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.