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主动脉瓣和主动脉根部钙化对主要不良心血管事件的预测:NADESICO研究

Aortic valve and aortic root calcifications for predicting major adverse cardiovascular events: NADESICO study.

作者信息

Wada Shinichi, Iwanaga Yoshitaka, Nakai Michikazu, Miyamoto Yoshihiro, Noguchi Teruo

机构信息

Department of Medical and Health Information Management, National Cerebral and Cardiovascular Center, 6-1 Kishibe-Shimmachi, Suita, Osaka, 564-8565, Japan.

Department of Cardiology, National Cerebral and Cardiovascular Center, Suita, Japan.

出版信息

Heart Vessels. 2023 Apr;38(4):562-569. doi: 10.1007/s00380-022-02187-9. Epub 2022 Oct 13.

Abstract

To assess aortic valve calcification (AVC) and aortic root calcification (ARC) and to examine their usefulness for predicting major adverse cardiovascular events (MACE). This multicenter prospective cohort study recruited 1187 patients suspected of coronary artery disease (CAD) who underwent coronary computed tomography. MACE included cardiovascular death, myocardial infarction, stroke, revascularization and hospitalization for unstable angina, heart failure or aortic disease. Cox proportional hazard model and C-statistic were used to assess mutual associations between Framingham risk score, coronary artery calcification (CAC) and AVC or ARC with incident MACE. A total of 980 patients (mean age, 65 ± 7 years; female, 45.8%) with assessment of AVC and ARC Agatston scores were analyzed. Among them, 86 developed MACE during a median follow-up of 4.04 years. Cox proportional hazard analyses showed that the presence or severity of AVC and ARC was significantly associated with MACE development after adjusting the CAC Agatston score. Compared with the model of Framingham risk score alone, C-statistics of the model adding AVC or ARC Agatston score to Framingham risk score increased (ΔC-statistic; + 0.013 or + 0.032, respectively). However, they were not superior to the model adding CAC Agatston (ΔC-statistic; - 0.077 and - 0.058, respectively). AVC or ARC on the top of CAC was a predictive factor for increased MACE in patients with suspected CAD. However, an additional model of AVC or ARC score to Framingham risk score was not as effective as that of CAC Agatston score.

摘要

评估主动脉瓣钙化(AVC)和主动脉根部钙化(ARC),并检验它们在预测主要不良心血管事件(MACE)方面的效用。这项多中心前瞻性队列研究招募了1187例疑似冠心病(CAD)且接受了冠状动脉计算机断层扫描的患者。MACE包括心血管死亡、心肌梗死、中风、血运重建以及因不稳定型心绞痛、心力衰竭或主动脉疾病住院。采用Cox比例风险模型和C统计量来评估弗雷明汉风险评分、冠状动脉钙化(CAC)与AVC或ARC和发生MACE之间的相互关联。共分析了980例评估了AVC和ARC阿加西评分的患者(平均年龄65±7岁;女性占45.8%)。其中,86例在中位随访4.04年期间发生了MACE。Cox比例风险分析表明,在调整了CAC阿加西评分后,AVC和ARC的存在或严重程度与MACE的发生显著相关。与仅使用弗雷明汉风险评分的模型相比,在弗雷明汉风险评分中加入AVC或ARC阿加西评分的模型的C统计量增加(C统计量变化分别为+0.013或+0.032)。然而,它们并不优于加入CAC阿加西评分的模型(C统计量变化分别为-0.077和-0.058)。在疑似CAD患者中,在CAC基础上的AVC或ARC是MACE增加的预测因素。然而,在弗雷明汉风险评分中额外加入AVC或ARC评分的模型不如CAC阿加西评分模型有效。

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