Department of Cardiovascular Medicine, Mayo Clinic Rochester, Rochester, Minnesota, USA; Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA.
Department of Cardiovascular Medicine, Mayo Clinic Rochester, Rochester, Minnesota, USA.
J Am Coll Cardiol. 2023 Oct 10;82(15):1499-1508. doi: 10.1016/j.jacc.2023.07.018.
The performance of the American College of Cardiology/American Heart Association pooled cohort equation (PCE) for atherosclerotic cardiovascular disease (ASCVD) in real-world clinical practice has not been evaluated extensively.
The goal of this study was to test the performance of PCE to predict ASCVD risk in the community, and determine if including individuals with values outside the PCE range (ie, age, blood pressure, cholesterol) or statin therapy initiation over follow-up would significantly affect PCE predictive capabilities.
The PCE was validated in a community-based cohort of consecutive patients who sought primary care in Olmsted County, Minnesota, between 1997 and 2000, followed-up through 2016. Inclusion criteria were similar to those of PCE derivation. Patient information was ascertained by using the record linkage system of the Rochester Epidemiology Project. ASCVD events (nonfatal and fatal myocardial infarction and ischemic stroke) were validated in duplicate. Calculated and observed ASCVD risk and c-statistics were compared across predefined groups.
This study included 30,042 adults, with a mean age of 48.5 ± 12.2 years; 46% were male. Median follow-up was 16.5 years, truncated at 10 years for this analysis. Mean ASCVD risk was 5.6% ± 8.73%. There were 1,555 ASCVD events (5.2%). The PCE revealed good performance overall (c-statistic 0.78) and in sex and race subgroups; it was highest among non-White female subjects (c-statistic 0.81) and lowest in White male subjects (c-statistic 0.77). Out-of-range values and initiation of statin medication did not affect model performance.
The PCE performed well in a community cohort representing real-world clinical practice. Values outside PCE ranges and initiation of statin medication did not affect performance. These results have implications for the applicability of current strategies for the prevention of ASCVD.
美国心脏病学会/美国心脏协会(ACC/AHA)的动脉粥样硬化性心血管疾病(ASCVD)风险预测模型(PCE)在真实临床实践中的表现尚未得到充分评估。
本研究旨在检验 PCE 预测社区 ASCVD 风险的能力,并确定在随访过程中纳入 PCE 范围外(即年龄、血压、胆固醇)的个体或开始他汀类药物治疗是否会显著影响 PCE 的预测能力。
本研究对 1997 年至 2000 年间在明尼苏达州奥姆斯特德县寻求初级保健的连续患者进行了基于社区的队列验证,随访至 2016 年。纳入标准与 PCE 推导时的标准相似。患者信息通过罗切斯特流行病学项目的记录链接系统获得。ASCVD 事件(非致死性和致死性心肌梗死和缺血性卒中等)通过重复验证。比较了不同预定义组的计算和观察到的 ASCVD 风险及 C 统计量。
本研究纳入了 30042 名成年人,平均年龄为 48.5±12.2 岁,其中 46%为男性。中位随访时间为 16.5 年,本分析截断为 10 年。平均 ASCVD 风险为 5.6%±8.73%。共发生 1555 例 ASCVD 事件(5.2%)。总体而言,PCE 表现良好(C 统计量为 0.78),且在性别和种族亚组中表现良好;在非白人女性中最高(C 统计量为 0.81),在白人男性中最低(C 统计量为 0.77)。超出范围值和开始使用他汀类药物并不影响模型性能。
PCE 在代表真实临床实践的社区队列中表现良好。PCE 范围外的值和开始使用他汀类药物并不影响其性能。这些结果对当前 ASCVD 预防策略的适用性具有重要意义。