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急性冠状动脉综合征患者缺血性心血管事件的风险预测模型

Risk Prediction Models for Ischemic Cardiovascular Outcomes in Patients with Acute Coronary Syndrome.

作者信息

Zhang Qi, Gao Jie, Yin Xiaoying, Zhang Song, Wang Yifan, Ji Hongmei, Zhang Xiao, Song Dongli, Wang Jiali, Chen Yuguo

机构信息

Department of Emergency Medicine, Qilu Hospital of Shandong University, 250012 Jinan, Shandong, China.

Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Institute of Emergency and Critical Care Medicine of Shandong University, Chest Pain Center, Qilu Hospital of Shandong University, 250012 Jinan, Shandong, China.

出版信息

Rev Cardiovasc Med. 2023 Apr 13;24(4):106. doi: 10.31083/j.rcm2404106. eCollection 2023 Apr.

DOI:10.31083/j.rcm2404106
PMID:39076282
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11273005/
Abstract

Acute coronary syndrome (ACS) has a high incidence of adverse cardiovascular events, even after early invasive treatment. Patients may still have a poor prognosis after discharge. The keys to the long-term survival of patients with ACS include effective treatment in a timely manner and identification of those patients who are at higher risk for long-term adverse events. Therefore, several nations have now devised a range of risk assessment models to provide data for accurately formulating treatment plans for patients with various risk levels following an ACS to prevent short and long-term cardiovascular events. The purpose of this article is to review the risk scores associated with mortality and ischemic events in patients with ACS. By using the clinical risk prediction score, we can accurately and effectively judge the prognosis of patients, so as to take a more reasonable treatment.

摘要

急性冠状动脉综合征(ACS)即使在早期侵入性治疗后,发生不良心血管事件的几率仍很高。出院后患者的预后可能仍然较差。ACS患者长期生存的关键包括及时有效的治疗以及识别那些有较高长期不良事件风险的患者。因此,现在几个国家已经设计了一系列风险评估模型,为准确制定ACS后不同风险水平患者的治疗方案提供数据,以预防短期和长期心血管事件。本文的目的是综述与ACS患者死亡率和缺血事件相关的风险评分。通过使用临床风险预测评分,我们可以准确有效地判断患者的预后,从而采取更合理的治疗措施。

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本文引用的文献

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Biomarker-based risk model to predict cardiovascular events in patients with acute coronary syndromes - Results from BIPass registry.基于生物标志物的风险模型预测急性冠脉综合征患者的心血管事件——来自BIPass注册研究的结果
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BMJ Open. 2021 Aug 18;11(8):e048356. doi: 10.1136/bmjopen-2020-048356.
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A risk score to predict in-hospital mortality in patients with acute coronary syndrome at early medical contact: results from the Improving Care for Cardiovascular Disease in China-Acute Coronary Syndrome (CCC-ACS) Project.一种预测急性冠状动脉综合征患者早期就医时院内死亡率的风险评分:中国改善心血管疾病护理-急性冠状动脉综合征(CCC-ACS)项目的结果
Ann Transl Med. 2021 Jan;9(2):167. doi: 10.21037/atm-21-31.
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ACEF performed better than other risk scores in non-ST-elevation acute coronary syndrome during long term follow-up.ACEF 在非 ST 段抬高型急性冠状动脉综合征的长期随访中优于其他风险评分。
BMC Cardiovasc Disord. 2021 Feb 3;21(1):70. doi: 10.1186/s12872-020-01841-2.
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180-day readmission risk model for older adults with acute myocardial infarction: the SILVER-AMI study.180 天再入院风险模型用于老年急性心肌梗死患者:SILVER-AMI 研究。
Open Heart. 2021 Jan;8(1). doi: 10.1136/openhrt-2020-001442.
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Ejection Fraction by Echocardiography for a Selective Use of Magnetic Resonance After Infarction.超声心动图射血分数指导下选择性应用磁共振检查在梗死患者中的应用。
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