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冠状动脉钙进展可预测全因死亡率。

Progression of coronary artery calcium predicts all-cause mortality.

机构信息

Department of Medicine, Los Angeles Biomedical Research Institute at Harbor-UCLA, Torrance, California 90502, USA.

出版信息

JACC Cardiovasc Imaging. 2010 Dec;3(12):1229-36. doi: 10.1016/j.jcmg.2010.08.018.

Abstract

OBJECTIVES

This study examined a large cohort to assess whether progression of coronary artery calcium (CAC) was associated with all-cause mortality, and which among 3 different methods to assess CAC progression provided the best estimate of risk.

BACKGROUND

Serial assessment of CAC scores has been proposed as a method to follow progression of coronary artery disease, and it has been suggested that excessive CAC progression may be a useful noninvasive predictor of the patient's risk of future events. However, the optimal method to measure calcium progression has not been well established.

METHODS

The study sample consisted of 4,609 consecutive asymptomatic individuals referred by primary physicians for CAC measurement with electron beam tomography, who underwent repeat screening. Three general statistical approaches were taken: 1) the absolute difference between follow-up and baseline CAC score; 2) percent annualized differences between follow-up and baseline CAC score; and 3) difference between square root of baseline and square root of follow-up CAC score >2.5 (the "SQRT method").

RESULTS

The average interscan time was 3.1 years, and there were 288 deaths. Progression of CAC was significantly associated with mortality regardless of the method used to assess progression (p < 0.0001). After adjusting for baseline score, age, sex, and time between scans, the best CAC progression model to predict mortality was the SQRT method (hazard ratio [HR]: 3.34; 95% confidence interval [CI]: 2.65 to 4.21; p < 0.0001), followed by a >15% yearly increase (HR: 2.98; 95% CI: 2.20 to 4.95; p < 0.0001). Progression was very limited and did not predict mortality in patients with baseline CAC = 0.

CONCLUSIONS

The CAC progression added incremental value in predicting all-cause mortality over baseline score, time between scans, demographics, and cardiovascular risk factors. Serial assessment may have clinical value in assessing plaque progression and future cardiovascular risk.

摘要

目的

本研究通过对大样本进行评估,以明确冠状动脉钙(CAC)进展是否与全因死亡率相关,并探讨评估 CAC 进展的 3 种不同方法中,哪一种能更好地预测风险。

背景

连续评估 CAC 评分被提议作为一种监测冠状动脉疾病进展的方法,且 CAC 进展过多可能是预测患者未来事件风险的有用无创指标。然而,评估钙进展的最佳方法尚未得到很好的确定。

方法

研究样本由 4609 名因 CAC 电子束断层扫描检查而由初级医生转诊的无症状个体组成,这些个体接受了重复筛查。采用了 3 种一般的统计方法:1)随访和基线 CAC 评分之间的绝对差值;2)随访和基线 CAC 评分之间的年化差异百分比;3)基线和随访 CAC 平方根之间的差值>2.5(“平方根方法”)。

结果

平均两次扫描之间的时间间隔为 3.1 年,共有 288 人死亡。无论使用哪种方法评估进展,CAC 的进展都与死亡率显著相关(p<0.0001)。在校正基线评分、年龄、性别和两次扫描之间的时间后,预测死亡率的最佳 CAC 进展模型是平方根方法(风险比[HR]:3.34;95%置信区间[CI]:2.65 至 4.21;p<0.0001),其次是每年增加>15%(HR:2.98;95%CI:2.20 至 4.95;p<0.0001)。在基线 CAC=0 的患者中,进展非常有限,且无法预测死亡率。

结论

CAC 进展在预测全因死亡率方面较基线评分、两次扫描之间的时间、人口统计学特征和心血管危险因素提供了额外的价值。连续评估可能在评估斑块进展和未来心血管风险方面具有临床价值。

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