Literature DB >> 23816022

Canada Acute Coronary Syndrome Risk Score: a new risk score for early prognostication in acute coronary syndromes.

Thao Huynh1, Simon Kouz, Andrew T Yan, Andrew Yan, Nicolas Danchin, Jennifer O'Loughlin, Jennifer O Loughlin, Erick Schampaert, Raymond T Yan, Raymond Yan, Stephane Rinfret, Jean-Claude Tardif, Mark J Eisenberg, Marc Afilalo, Alice Chong, Jean-Pierre Dery, Michel Nguyen, Claude Lauzon, Samer Mansour, Dennis T Ko, Jack V Tu, Shaun Goodman.   

Abstract

BACKGROUND: Despite the availability of several acute coronary syndrome (ACS) prognostic risk scores, there is no appropriate score for early-risk stratification at the time of the first medical contact with patients with ACS. The primary objective of this study is to develop a simple risk score that can be used for early-risk stratification of patients with ACS.
METHODS: We derived the risk score from the Acute Myocardial Infarction in Quebec and Canada ACS-1 registries and validated the risk score in 4 other large data sets of patients with ACS (Canada ACS-2 registry, Canada-GRACE, EFFECT-1, and the FAST-MI registries). The final risk score is named the Canada Acute Coronary Syndrome Risk Score (C-ACS) and ranged from 0 to 4, with 1 point assigned for the presence of each of these variables: age ≥75 years, Killip >1, systolic blood pressure <100 mm Hg, and heart rate >100 beats/min. The primary end points were short-term (inhospital or 30-day) and long-term (1- or 5-year) all-cause mortality.
RESULTS: The C-ACS has good predictive values for short- and long-term mortality of patients with ST-segment elevation myocardial infarction and non-ST-segment elevation ACS. The negative predictive value of a C-ACS score ≥1 is excellent at ≥98% (95% CI 0.97-0.99) for short-term mortality and ≥93% (95% CI 0.91-0.96) for long-term mortality. In other words, a C-ACS score of 0 can potentially identify correctly ≥97% short-term survivors and ≥91% long-term survivors.
CONCLUSION: The C-ACS risk score permits rapid stratification of patients with ACS. Because this risk score is simple and easy to memorize and calculate, it can be rapidly applied by health care professionals without advanced medical training.
Copyright © 2013 Mosby, Inc. All rights reserved.

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Year:  2013        PMID: 23816022     DOI: 10.1016/j.ahj.2013.03.023

Source DB:  PubMed          Journal:  Am Heart J        ISSN: 0002-8703            Impact factor:   4.749


  18 in total

1.  Diagnostic Model of In-Hospital Mortality in Patients with Acute ST-Segment Elevation Myocardial Infarction Used Artificial Intelligence Methods.

Authors:  Yong Li
Journal:  Cardiol Res Pract       Date:  2022-05-25       Impact factor: 1.990

2.  A prognostic nomogram for long-term major adverse cardiovascular events in patients with acute coronary syndrome after percutaneous coronary intervention.

Authors:  Shuting Kong; Changxi Chen; Gaoshu Zheng; Hui Yao; Junfeng Li; Hong Ye; Xiaobo Wang; Xiang Qu; Xiaodong Zhou; Yucheng Lu; Hao Zhou
Journal:  BMC Cardiovasc Disord       Date:  2021-05-22       Impact factor: 2.298

3.  A Novel Risk Score to Predict In-Hospital Mortality in Patients With Acute Myocardial Infarction: Results From a Prospective Observational Cohort.

Authors:  Lulu Li; Xiling Zhang; Yini Wang; Xi Yu; Haibo Jia; Jingbo Hou; Chunjie Li; Wenjuan Zhang; Wei Yang; Bin Liu; Lixin Lu; Ning Tan; Bo Yu; Kang Li
Journal:  Front Cardiovasc Med       Date:  2022-04-07

4.  Is ProACS Score Just another Risk Stratification Score, or is it Ready for Implementation in Clinical Practice?

Authors:  Ana Teresa Timóteo
Journal:  Arq Bras Cardiol       Date:  2019-08-08       Impact factor: 2.000

5.  Atherothrombotic risk stratification after acute myocardial infarction: The Thrombolysis in Myocardial Infarction Risk Score for Secondary Prevention in the light of the French Registry of Acute ST Elevation or non-ST Elevation Myocardial Infarction registries.

Authors:  Etienne Puymirat; Marc Bonaca; Maxime Fumery; Victoria Tea; Nadia Aissaoui; Gilles Lemesles; Laurent Bonello; Grégory Ducrocq; Guillaume Cayla; Jean Ferrières; François Schiele; Tabassome Simon; Nicolas Danchin
Journal:  Clin Cardiol       Date:  2018-12-27       Impact factor: 2.882

6.  Simple risk score based on the China Acute Myocardial Infarction registry for predicting in-hospital mortality among patients with non-ST-segment elevation myocardial infarction: results of a prospective observational cohort study.

Authors:  Chenxi Song; Rui Fu; Sidong Li; Jingang Yang; Yan Wang; Haiyan Xu; Xiaojin Gao; Jia Liu; Qianqian Liu; Chunyue Wang; Kefei Dou; Yuejin Yang
Journal:  BMJ Open       Date:  2019-09-12       Impact factor: 2.692

7.  Canada acute coronary syndrome score was a stronger baseline predictor than age ≥75 years of in-hospital mortality in acute coronary syndrome patients in western Romania.

Authors:  Antoanela Pogorevici; Ioana Mihaela Citu; Diana Aurora Bordejevic; Florina Caruntu; Mirela Cleopatra Tomescu
Journal:  Clin Interv Aging       Date:  2016-04-26       Impact factor: 4.458

8.  N-terminal pro-brain natriuretic peptide improves the C-ACS risk score prediction of clinical outcomes in patients with ST-elevation myocardial infarction.

Authors:  Peng-Cheng He; Chong-Yang Duan; Yuan-Hui Liu; Xue-Biao Wei; Shu-Guang Lin
Journal:  BMC Cardiovasc Disord       Date:  2016-12-12       Impact factor: 2.298

9.  A Nomogram Based on Apelin-12 for the Prediction of Major Adverse Cardiovascular Events after Percutaneous Coronary Intervention among Patients with ST-Segment Elevation Myocardial Infarction.

Authors:  Enfa Zhao; Hang Xie; Yushun Zhang
Journal:  Cardiovasc Ther       Date:  2020-02-06       Impact factor: 3.023

10.  Differential leukocyte counts and cardiovascular mortality in very old patients with acute myocardial infarction: a Chinese cohort study.

Authors:  Xiao-Ni Yan; Jing-Lu Jin; Meng Zhang; Li-Feng Hong; Yuan-Lin Guo; Na-Qiong Wu; Cheng-Gang Zhu; Qian Dong; Jian-Jun Li
Journal:  BMC Cardiovasc Disord       Date:  2020-10-28       Impact factor: 2.298

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