Coronary Computed Angiography and Coronary Artery Calcium Score for Preoperative Cardiovascular Risk Stratification in Patients Undergoing Noncardiac Surgery.

IF 2.4 4区 医学 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS
Ioannis Kyriakoulis, Sriram S Kumar, Georgios D Lianos, Dimitrios Schizas, Damianos G Kokkinidis
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Abstract

Perioperative and long-term postoperative major adverse cardiovascular events (MACE) are a leading cause of morbidity and mortality in patients undergoing noncardiac surgery. In selected high-risk patients, when information about cardiovascular status may influence surgical decisions, preoperative risk stratification is reasonable, with stress imaging being the preferred method. Coronary computed angiography (CCTA) and coronary artery calcium score (CACS) offer direct anatomical assessment of atherosclerotic coronary arteries and help gauge the extent and severity of coronary artery disease. Strong evidence supports that CCTA and CACS, either alone or in combination, are reliable methods for assessing the risk of both perioperative and long-term postoperative MACE, often demonstrating equal or superior prognostic performance compared to traditional imaging tools. Moreover, integrating CCTA or CACS into standard preoperative imaging protocols further enhances perioperative risk prediction and improves the ability to accurately stratify patients. Future research is needed to better define the role of CCTA and CACS in preoperative cardiovascular risk evaluation of patients undergoing noncardiac surgery.

非心脏手术患者术前心血管危险分层的冠状动脉计算机血管造影和冠状动脉钙评分。
围手术期和术后长期主要不良心血管事件(MACE)是非心脏手术患者发病和死亡的主要原因。在选定的高危患者中,当心血管状况信息可能影响手术决策时,术前风险分层是合理的,压力成像是首选方法。冠状动脉计算机血管造影(CCTA)和冠状动脉钙化评分(CACS)提供了冠状动脉粥样硬化的直接解剖评估,并有助于衡量冠状动脉疾病的范围和严重程度。强有力的证据支持CCTA和CACS,无论是单独还是联合,都是评估围手术期和术后长期MACE风险的可靠方法,与传统成像工具相比,通常表现出相同或更好的预后表现。此外,将CCTA或CACS纳入标准的术前影像学方案,可以进一步提高围手术期风险预测,提高患者准确分层的能力。未来的研究需要更好地界定CCTA和CACS在非心脏手术患者术前心血管风险评估中的作用。
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来源期刊
Journal of Cardiovascular Development and Disease
Journal of Cardiovascular Development and Disease CARDIAC & CARDIOVASCULAR SYSTEMS-
CiteScore
2.60
自引率
12.50%
发文量
381
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