Druey Sophie, Wildi Karin, Twerenbold Raphael, Jaeger Cédric, Reichlin Tobias, Haaf Philip, Rubini Gimenez Maria, Puelacher Christian, Wagener Max, Radosavac Milos, Honegger Ursina, Schumacher Carmela, Delfine Valentina, Kreutzinger Philip, Herrmann Thomas, Moreno Weidmann Zoraida, Krivoshei Lian, Freese Michael, Stelzig Claudia, Isenschmid Cyril, Bassetti Stefano, Rentsch Katharina, Osswald Stefan, Mueller Christian
Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, Switzerland; Department of Internal Medicine, Kantonsspital Olten, Switzerland.
Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, Switzerland.
Int J Cardiol. 2015 Sep 15;195:163-70. doi: 10.1016/j.ijcard.2015.05.079. Epub 2015 May 15.
It is currently unknown, whether and to what extent sensitive cardiac troponin (s-cTn) allows shortening of the time required for safe rule-out and rule-in of acute myocardial infarction (AMI).
We aimed to develop and validate early rule-out and rule-in algorithms for AMI using a thoroughly-examined and commonly used s-cTnI assay in a prospective multicenter study including 2173 patients presenting to the emergency department with suspected AMI. S-cTnI was measured in a blinded fashion at 0 h, 1 h, and 2 h. The final diagnosis was centrally adjudicated by two independent cardiologists. In the derivation cohort (n = 1496), we developed 1h- and 2h-algorithms assigning patients to "rule-out", "rule-in", or "observe". The algorithms were then prospectively validated in the validation cohort (n = 677).
AMI was the adjudicated diagnosis in 17% of patients. After applying the s-cTnI 1h-algorithm developed in the derivation cohort to the validation cohort, 65% of patients were classified as "rule-out", 12% as "rule-in", and 23% to "observe". The negative predictive value for AMI in the "rule-out" group was 98.6% (95% CI, 96.9-99.5), the positive predictive value for AMI in the "rule-in" group 76.3% (95% CI, 65.4-85.1). Overall, 30-day mortality was 0.2% in the "rule-out" group, 1.0% in the "observe" group, and 3.0% in the "rule-in" group. Similar results were obtained for the 2h-algorithm.
When used in conjunction with other clinical information including the ECG, a simple algorithm incorporating s-cTnI values at presentation and after 1h (or 2h) will allow safe rule-out and accurate rule-in of AMI in the majority of patients.
目前尚不清楚敏感心肌肌钙蛋白(s-cTn)是否以及在何种程度上能够缩短急性心肌梗死(AMI)安全排除和确诊所需的时间。
在一项前瞻性多中心研究中,我们旨在使用经过全面检查且常用的s-cTnI检测方法,开发并验证AMI的早期排除和确诊算法。该研究纳入了2173例因疑似AMI就诊于急诊科的患者。在0小时、1小时和2小时以盲法检测s-cTnI。最终诊断由两名独立的心脏病专家进行集中判定。在推导队列(n = 1496)中,我们开发了1小时和2小时算法,将患者分为“排除”“确诊”或“观察”组。然后在验证队列(n = 677)中对这些算法进行前瞻性验证。
17%的患者最终被判定为AMI。将推导队列中开发的s-cTnI 1小时算法应用于验证队列后,65%的患者被分类为“排除”,12%为“确诊”,23%为“观察”。“排除”组中AMI的阴性预测值为98.6%(95%CI,96.9 - 99.5),“确诊”组中AMI的阳性预测值为76.3%(95%CI,65.4 - 85.1)。总体而言,“排除”组的30天死亡率为0.2%,“观察”组为1.0%,“确诊”组为3.0%。2小时算法也得到了类似结果。
当与包括心电图在内的其他临床信息结合使用时,一种结合就诊时和1小时(或2小时)后s-cTnI值的简单算法能够在大多数患者中实现AMI的安全排除和准确确诊。