Carmo Gabriel A L, Calderaro Daniela, Yu Pai C, Gualandro Danielle M, Marques André C, Bittar Cristina S, Pastana Adriana F, Caramelli Bruno
Instituto do Coração Cardiology Unit, Instituto do Coração, Hospital das Clínicas, Medical School, Universidade de São Paulo, Brazil.
Rev Assoc Med Bras (1992). 2012 Jul-Aug;58(4):505-12.
When dealing with surgical patients, a perioperative evaluation is essential to anticipate complications and institute measures to reduce the risks. Several algorithms and exams have been used to identify postoperative cardiovascular events, which account for more than 50% of perioperative mortality. However, they are far from ideal. Some of these algorithms and exams were proposed before important advances in cardiology, at a time when pharmacological risk reduction strategies for surgical patients were not available. New biomarkers and exams, such as C-reactive protein, brain natriuretic peptide, and multislice computed tomography have been used in cardiology and have provided important prognostic information. The ankle-brachial index is another significant marker of atherosclerosis. However, specific information regarding the perioperative context of all these methods is still needed. The objective of this article is to evaluate cardiovascular risk prediction models after noncardiac surgery.
在处理外科手术患者时，围手术期评估对于预测并发症和制定降低风险的措施至关重要。已经使用了几种算法和检查来识别术后心血管事件，这些事件占围手术期死亡率的50%以上。然而，它们远非理想。其中一些算法和检查是在心脏病学取得重要进展之前提出的，当时还没有针对外科手术患者的药物风险降低策略。新的生物标志物和检查，如C反应蛋白、脑钠肽和多层计算机断层扫描，已在心脏病学中使用，并提供了重要的预后信息。踝臂指数是动脉粥样硬化的另一个重要标志物。然而，仍然需要关于所有这些方法围手术期情况的具体信息。本文的目的是评估非心脏手术后的心血管风险预测模型。
