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0/1 小时高敏心肌肌钙蛋白算法用于评估急性心肌梗死的心脏检测的作用。

The role of cardiac testing with the 0/1-hour high-sensitivity cardiac troponin algorithm evaluating for acute myocardial infarction.

机构信息

Henry Ford Heart and Vascular Institute, Detroit, MI.

Department of Internal Medicine, Henry Ford Hospital, Detroit, MI.

出版信息

Am Heart J. 2021 Mar;233:68-77. doi: 10.1016/j.ahj.2020.12.015. Epub 2020 Dec 26.

Abstract

BACKGROUND

The role of cardiac testing in the 3 zones (rule-out, observation, and rule-in) of the 0/1-hour algorithm to evaluate for acute myocardial infarction (AMI) has not been well studied. This study evaluated the 0/1-hour algorithm with a high-sensitivity cardiac troponin (hs-cTnI) assay and investigated cardiac testing in the 3 zones.

METHODS

Patients (n = 552) at a single urban center were enrolled if they were evaluated for AMI. Blood samples were obtained at presentation, 1 hour, and 3 hours for hs-cTnI. Follow-up at 30 to 45 days for death/AMI was done. The results of echocardiograms, stress testing, and coronary angiography were recorded.

RESULTS

In total, 45 (8.2%) had AMI (27 Type 1 and 18 Type 2) during the index hospitalization while at follow-up death/AMI occurred in 11 (2.0%) of patients. The rule-out algorithm had a negative predictive value for AMI of 99.6% while the rule-in zone had a positive predictive value of 56.6%. The MACE rate at follow-up was 0.4% for those in the rule-out group. There were 6/95 (6.3%) abnormal stress tests in the rule-out zone and 4 of these were false positives.

CONCLUSIONS

The 0/1-hour algorithm had high diagnostic sensitivity and negative predictive value for AMI, and adverse events were very low in patients in the rule-out zone. Noninvasive testing in rule-out zone patients had low diagnostic yield.

摘要

背景

在评估急性心肌梗死(AMI)的 0/1 小时算法的 3 个区域(排除、观察和确诊)中,心脏检测的作用尚未得到充分研究。本研究评估了使用高敏心肌肌钙蛋白(hs-cTnI)检测的 0/1 小时算法,并研究了 3 个区域中的心脏检测。

方法

如果患者在单个城市中心接受 AMI 评估,则将其纳入研究。在就诊时、1 小时和 3 小时采集 hs-cTnI 血样。在 30 至 45 天进行随访以确定死亡/AMI。记录超声心动图、应激试验和冠状动脉造影的结果。

结果

共有 45 名(8.2%)患者在指数住院期间发生 AMI(27 例为 1 型,18 例为 2 型),而在随访期间有 11 名(2.0%)患者发生死亡/AMI。排除算法对 AMI 的阴性预测值为 99.6%,而确诊区域的阳性预测值为 56.6%。排除组的随访 MACE 发生率为 0.4%。在排除区有 6/95(6.3%)异常应激试验,其中 4 例为假阳性。

结论

0/1 小时算法对 AMI 具有较高的诊断敏感性和阴性预测值,排除区患者的不良事件发生率非常低。排除区患者的非侵入性检测具有较低的诊断收益。

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