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非 ST 段抬高型急性冠状动脉综合征未行血运重建治疗后的自发性心肌梗死:TRILOGY ACS 试验。

Spontaneous MI After Non-ST-Segment Elevation Acute Coronary Syndrome Managed Without Revascularization: The TRILOGY ACS Trial.

机构信息

Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina; Division of Cardiology, Department of Medicine, Duke University School of Medicine, Durham, North Carolina.

Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.

出版信息

J Am Coll Cardiol. 2016 Mar 22;67(11):1289-97. doi: 10.1016/j.jacc.2016.01.034.

Abstract

BACKGROUND

Patients with acute coronary syndrome (ACS), especially those receiving medical management without revascularization, are at high risk for spontaneous myocardial infarction (MI), but its frequency and predictors are unknown.

OBJECTIVES

This study sought to characterize spontaneous MI events in a randomized population during 30 months of follow-up and develop a prediction model for spontaneous MI to assign risk of spontaneous MI events in ACS populations.

METHODS

We analyzed data from the randomized TRILOGY ACS (TaRgeted platelet Inhibition to cLarify the Optimal strateGy to medically manage Acute Coronary Syndromes) trial of aspirin plus prasugrel or clopidogrel following ACS. The trial included 9,326 patients with non-ST-segment elevation myocardial infarction (NSTEMI)/unstable angina (UA) who were managed medically without planned revascularization. Our study population included 9,294 patients. A multivariable Cox proportional hazards model was developed to determine predictors of time to first spontaneous MI event through 30 months. After model validation, we developed a calculator for model implementation.

RESULTS

Among 9,294 patients, 695 spontaneous MI events occurred over a median of 17 months, representing 94% of adjudicated MI events (n = 737). The Kaplan-Meier event rate of spontaneous MI through 30 months was 10.7%. The strongest predictors of spontaneous MI were older age, NSTEMI versus UA as index event, diabetes mellitus, no pre-randomization angiography, and higher baseline creatinine values. The model exhibited good predictive capabilities (c-index = 0.732) and had good calibration, especially for patients with low-to-moderate risk of spontaneous MI.

CONCLUSIONS

Spontaneous MI following a medically managed UA/NSTEMI event is common. Baseline characteristics can be used to predict subsequent risk of spontaneous MI in this population. These findings provide insight into the long-term natural history of medically managed UA/NSTEMI patients and could be used to optimize risk stratification and treatment of these patients. (A Comparison of Prasugrel and Clopidogrel in Acute Coronary Syndrome Subjects [TRILOGY ACS]; NCT00699998).

摘要

背景

急性冠状动脉综合征(ACS)患者,尤其是未接受血运重建治疗的患者,发生自发性心肌梗死(MI)的风险较高,但其发生率和预测因素尚不清楚。

目的

本研究旨在描述随机人群在 30 个月随访期间自发性 MI 事件的特征,并建立自发性 MI 预测模型,以评估 ACS 人群中自发性 MI 事件的风险。

方法

我们分析了 TRILOGY ACS(针对血小板抑制以明确急性冠状动脉综合征的最佳治疗策略的靶向研究)试验中阿司匹林加普拉格雷或氯吡格雷治疗 ACS 后非 ST 段抬高型心肌梗死(NSTEMI)/不稳定型心绞痛(UA)患者的随机数据。该试验纳入了 9326 例未计划血运重建的 NSTEMI/UA 患者。通过多变量 Cox 比例风险模型确定 30 个月内首次自发性 MI 事件的预测因素。模型验证后,我们开发了一个计算器来实现模型。

结果

在 9294 例患者中,695 例自发性 MI 事件在中位时间为 17 个月时发生,占 737 例经裁决的 MI 事件的 94%。30 个月时自发性 MI 的 Kaplan-Meier 事件发生率为 10.7%。自发性 MI 的最强预测因素是年龄较大、与 UA 相比为 NSTEMI 作为首发事件、糖尿病、随机分组前无冠状动脉造影检查和基线肌酐值较高。该模型具有良好的预测能力(c 指数=0.732)和良好的校准度,特别是对于自发性 MI 风险较低至中度的患者。

结论

经药物治疗的 UA/NSTEMI 事件后发生自发性 MI 较为常见。基线特征可用于预测该人群中随后发生自发性 MI 的风险。这些发现提供了对经药物治疗的 UA/NSTEMI 患者长期自然史的深入了解,并可用于优化这些患者的风险分层和治疗。(急性冠状动脉综合征患者中普拉格雷与氯吡格雷的比较[TRILOGY ACS];NCT00699998)。

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