Ann Intern Med. 2015 Jul 7;163(1):14-21. doi: 10.7326/M14-0612.
The extent of coronary artery calcification (CAC) and near-term adverse clinical outcomes are strongly related through 5 years of follow-up.
To describe the ability of CAC scores to predict long-term mortality in persons without symptoms of coronary artery disease.
Observational cohort.
Single-center, outpatient cardiology laboratory.
9715 asymptomatic patients.
Coronary artery calcification scoring and binary risk factor data were collected. The primary end point was time to all-cause mortality (median follow-up, 14.6 years). Univariable and multivariable Cox proportional hazards models were used to compare survival distributions. The net reclassification improvement statistic was calculated.
In Cox models adjusted for risk factors for coronary artery disease, the CAC score was highly predictive of all-cause mortality (P < 0.001). Overall 15-year mortality rates ranged from 3% to 28% for CAC scores from 0 to 1000 or greater (P < 0.001). The relative hazard for all-cause mortality ranged from 1.68 for a CAC score of 1 to 10 (P < 0.001) to 6.26 for a score of 1000 or greater (P < 0.001). The categorical net reclassification improvement using cut points of less than 7.5% to 22.5% or greater was 0.21 (95% CI, 0.16 to 0.32).
Data collection was limited to a single center with generalizability limitations. Only binary risk factor data were available, and CAC was only measured once.
The extent of CAC accurately predicts 15-year mortality in a large cohort of asymptomatic patients. Long-term estimates of mortality provide a unique opportunity to examine the value of novel biomarkers, such as CAC, in estimating important patient outcomes.
None.
通过 5 年的随访,冠状动脉钙化(CAC)的程度与近期不良临床结局密切相关。
描述 CAC 评分在无冠心病症状人群中预测长期死亡率的能力。
观察性队列。
单中心门诊心脏病学实验室。
9715 名无症状患者。
收集冠状动脉钙化评分和二元危险因素数据。主要终点是全因死亡率(中位随访时间为 14.6 年)。采用单变量和多变量 Cox 比例风险模型比较生存分布。计算净重新分类改善统计量。
在调整了冠心病危险因素的 Cox 模型中,CAC 评分对全因死亡率具有高度预测性(P<0.001)。总体而言,15 年死亡率范围为 3%至 28%,CAC 评分为 0 至 1000 或更高(P<0.001)。全因死亡率的相对危险度范围从 CAC 评分为 1 至 10 的 1.68(P<0.001)到评分大于 1000 的 6.26(P<0.001)。使用小于 7.5%至 22.5%或更高的分类净重新分类改善切点,其改善值为 0.21(95%CI,0.16 至 0.32)。
数据收集仅限于一个中心,具有普遍性局限性。仅获得二元危险因素数据,并且仅测量 CAC 一次。
CAC 的程度在大量无症状患者中准确预测了 15 年死亡率。长期死亡率估计为评估 CAC 等新型生物标志物在估计重要患者结局方面的价值提供了独特的机会。
无。