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两小时算法用于通过高敏心肌肌钙蛋白 I 排除和诊断急性心肌梗死。

Two-Hour Algorithm for Triage toward Rule-Out and Rule-In of Acute Myocardial Infarction by Use of High-Sensitivity Cardiac Troponin I.

机构信息

Cardiovascular Research Institute Basel (CRIB), Department of Cardiology, and Department of Internal Medicine, University Hospital Basel, Basel, Switzerland;

Cardiovascular Research Institute Basel (CRIB), Department of Cardiology, and.

出版信息

Clin Chem. 2016 Mar;62(3):494-504. doi: 10.1373/clinchem.2015.249508. Epub 2016 Jan 21.

Abstract

BACKGROUND

The early triage of patients toward rule-out and rule-in of acute myocardial infarction (AMI) is challenging. Therefore, we aimed to develop a 2-h algorithm that uses high-sensitivity cardiac troponin I (hs-cTnI).

METHODS

We prospectively enrolled 1435 (derivation cohort) and 1194 (external validation cohort) patients presenting with suspected AMI to the emergency department. The final diagnosis was adjudicated by 2 independent cardiologists. hs-cTnI was measured at presentation and after 2 h in a blinded fashion. We derived and validated a diagnostic algorithm incorporating hs-cTnI values at presentation and absolute changes within the first 2 h.

RESULTS

AMI was the final diagnosis in 17% of patients in the derivation and 13% in the validation cohort. The 2-h algorithm developed in the derivation cohort classified 56% of patients as rule-out, 17% as rule-in, and 27% as observation. Resulting diagnostic sensitivity and negative predictive value (NPV) were 99.2% and 99.8% for rule-out; specificity and positive predictive value (PPV) were 95.2% and 75.8% for rule-in. Applying the 2-h algorithm in the external validation cohort, 60% of patients were classified as rule-out, 13% as rule-in, and 27% as observation. Diagnostic sensitivity and NPV were 98.7% and 99.7% for rule-out; specificity and PPV were 97.4% and 82.2% for rule-in. Thirty-day survival was 100% for rule-out patients in both cohorts.

CONCLUSIONS

A simple algorithm incorporating hs-cTnI baseline values and absolute 2-h changes allowed a triage toward safe rule-out or accurate rule-in of AMI in the majority of patients.

摘要

背景

急性心肌梗死(AMI)患者的早期分诊对于排除和确诊具有挑战性。因此,我们旨在开发一种 2 小时算法,该算法使用高敏心肌肌钙蛋白 I(hs-cTnI)。

方法

我们前瞻性纳入了 1435 名(推导队列)和 1194 名(外部验证队列)因疑似 AMI 就诊于急诊科的患者。最终诊断由 2 位独立的心脏病专家裁定。以盲法在就诊时和 2 小时后测量 hs-cTnI。我们推导并验证了一个纳入就诊时和前 2 小时内绝对变化的诊断算法。

结果

推导队列中 17%的患者和验证队列中 13%的患者被诊断为 AMI。在推导队列中开发的 2 小时算法将 56%的患者归类为排除,17%为确诊,27%为观察。由此产生的诊断敏感性和阴性预测值(NPV)为排除的 99.2%和 99.8%;确诊的特异性和阳性预测值(PPV)分别为 95.2%和 75.8%。将 2 小时算法应用于外部验证队列,60%的患者被归类为排除,13%为确诊,27%为观察。排除的诊断敏感性和 NPV 分别为 98.7%和 99.7%;确诊的特异性和 PPV 分别为 97.4%和 82.2%。在两个队列中,排除组的 30 天生存率均为 100%。

结论

一个简单的算法,将 hs-cTnI 基线值和绝对 2 小时变化相结合,可以对大多数患者进行分诊,从而安全排除或准确确诊 AMI。

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