Department of Geriatric Medicine, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.
Atherosclerosis. 2010 May;210(1):137-44. doi: 10.1016/j.atherosclerosis.2009.11.012. Epub 2009 Nov 17.
Arterial calcification makes the management of hemodynamics more difficult. Some reports have previously shown that simple assessment of aortic calcification using plain radiography is associated with cardiovascular (CV) events; however, these studies simply assessed whether aortic calcification was present or absent only, without considering its extent. Here, we evaluated validity of grading aortic arch calcification (AAC) to predict new CV events.
We retrospectively reviewed chest X-rays in 239 asymptomatic out-patients who underwent measurement of endothelial function at the 1994-2000 without past history of CV events. The extent of AAC was divided into four grades (0-3). Among these subjects, the follow-up of CV events in 209 patients was completed. At baseline, AAC grade was positively related to age, pulse pressure, diabetes and renal dysfunction. Impairment of endothelial function, as determined by flow-mediated dilation (FMD), was also correlated to increasing AAC grade. Fifty-seven CV events in total occurred during a mean follow-up period of 69+/-45 months. With multivariate adjustment, Kaplan-Meier analysis showed that the incidence was significantly higher in patients with higher AAC grade (grades 2 and 3) than in those with grade 0 or 1 (p<0.01, log-rank test). Two kinds of multivariate Cox-proportional hazards analyses showed the predictive values of AAC grade were significant (hazard ratio, 2.49; p=0.01, 2.56; p<0.01, respectively), and the predictive power was superior to that of renal dysfunction or FMD. In addition, the prediction was valuable even in patients without CKD.
AAC detectable on chest X-ray is a strong independent predictor of CV events beyond traditional risk factors including endothelial dysfunction. Risk stratification by assessment of AAC may provide important information for management of atherosclerotic disease.
动脉钙化使得血流动力学的管理更加困难。一些报告先前表明,使用普通 X 光片对主动脉钙化进行简单评估与心血管(CV)事件相关;然而,这些研究只是简单地评估主动脉钙化是否存在,而没有考虑其程度。在这里,我们评估了分级主动脉弓钙化(AAC)预测新的 CV 事件的有效性。
我们回顾性地审查了 239 名无症状门诊患者的胸部 X 光片,这些患者在 1994-2000 年期间进行了内皮功能测量,并且没有 CV 事件的既往病史。AAC 的程度分为四个等级(0-3)。在这些患者中,209 名患者完成了 CV 事件的随访。在基线时,AAC 等级与年龄、脉压、糖尿病和肾功能障碍呈正相关。血流介导的扩张(FMD)确定的内皮功能受损也与 AAC 等级的增加相关。在平均 69+/-45 个月的随访期间,共发生了 57 例 CV 事件。经过多变量调整,Kaplan-Meier 分析显示,AAC 等级较高的患者(等级 2 和 3)的发生率明显高于 AAC 等级为 0 或 1 的患者(p<0.01,对数秩检验)。两种多元 Cox 比例风险分析表明,AAC 等级的预测值具有显著意义(危险比,2.49;p=0.01,2.56;p<0.01),预测能力优于肾功能障碍或 FMD。此外,即使在没有 CKD 的患者中,预测也是有价值的。
胸部 X 光片上可检测到的 AAC 是传统危险因素(包括内皮功能障碍)之外预测 CV 事件的一个强有力的独立指标。通过评估 AAC 进行风险分层可能为动脉粥样硬化疾病的管理提供重要信息。