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冠状动脉钙可预测低剂量 CT 筛查肺癌时的全因死亡率和心血管事件。

Coronary artery calcium can predict all-cause mortality and cardiovascular events on low-dose CT screening for lung cancer.

机构信息

Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Universiteitsweg 100, P.O. Box 85060, 3508 AB Utrecht, The Netherlands.

出版信息

AJR Am J Roentgenol. 2012 Mar;198(3):505-11. doi: 10.2214/AJR.10.5577.

DOI:10.2214/AJR.10.5577
PMID:22357989
Abstract

OBJECTIVE

Performing coronary artery calcium (CAC) screening as part of low-dose CT lung cancer screening has been proposed as an efficient strategy to detect people with high cardiovascular risk and improve outcomes of primary prevention. This study aims to investigate whether CAC measured on low-dose CT in a population of former and current heavy smokers is an independent predictor of all-cause mortality and cardiac events.

SUBJECTS AND METHODS

We used a case-cohort study and included 958 subjects 50 years old or older within the screen group of a randomized controlled lung cancer screening trial. We used Cox proportional-hazard models to compute hazard ratios (HRs) adjusted for traditional cardiovascular risk factors to predict all-cause mortality and cardiovascular events.

RESULTS

During a median follow-up of 21.5 months, 56 deaths and 127 cardiovascular events occurred. Compared with a CAC score of 0, multivariate-adjusted HRs for all-cause mortality for CAC scores of 1-100, 101-1000, and more than 1000 were 3.00 (95% CI, 0.61-14.93), 6.13 (95% CI, 1.35-27.77), and 10.93 (95% CI, 2.36-50.60), respectively. Multivariate-adjusted HRs for coronary events were 1.38 (95% CI, 0.39-4.90), 3.04 (95% CI, 0.95-9.73), and 7.77 (95% CI, 2.44-24.75), respectively.

CONCLUSION

This study shows that CAC scoring as part of low-dose CT lung cancer screening can be used as an independent predictor of all-cause mortality and cardiovascular events.

摘要

目的

作为低剂量 CT 肺癌筛查的一部分进行冠状动脉钙(CAC)筛查,已被提议作为一种有效策略,以发现具有高心血管风险的人群,并改善一级预防的结局。本研究旨在调查在曾大量吸烟和现仍在吸烟人群中,低剂量 CT 检测到的 CAC 是否是全因死亡率和心脏事件的独立预测因子。

对象和方法

我们采用病例-队列研究,纳入了一项随机对照肺癌筛查试验筛查组中年龄 50 岁或以上的 958 名受试者。我们使用 Cox 比例风险模型计算风险比(HR),以调整传统心血管风险因素,预测全因死亡率和心血管事件。

结果

在中位随访 21.5 个月期间,发生了 56 例死亡和 127 例心血管事件。与 CAC 评分为 0 相比,CAC 评分为 1-100、101-1000 和>1000 的多变量调整 HR 分别为 3.00(95%CI,0.61-14.93)、6.13(95%CI,1.35-27.77)和 10.93(95%CI,2.36-50.60)。多变量调整后的冠心病事件 HR 分别为 1.38(95%CI,0.39-4.90)、3.04(95%CI,0.95-9.73)和 7.77(95%CI,2.44-24.75)。

结论

本研究表明,作为低剂量 CT 肺癌筛查的一部分的 CAC 评分可作为全因死亡率和心血管事件的独立预测因子。

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