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Predicting freedom from clinical events in non-ST-elevation acute coronary syndromes: the Global Registry of Acute Coronary Events

Identifieur interne : 002517 ( Istex/Corpus ); précédent : 002516; suivant : 002518

Predicting freedom from clinical events in non-ST-elevation acute coronary syndromes: the Global Registry of Acute Coronary Events

Auteurs : D. Brieger ; K A A. Fox ; G. Fitzgerald ; K A Eagle ; A. Budaj ; Á Avezum ; C B Granger ; B. Costa ; F A Anderson ; Ph G. Steg

Source :

RBID : ISTEX:C815C8F32120772AF6C07A97197CB79093978BFA

English descriptors

Abstract

Objective: To identify patients with non-ST-elevation acute coronary syndrome (NSTE-ACS) with a low likelihood of any adverse in-hospital event. Design, setting and patients: Data were analysed from 24 097 patients with NSTEMI or unstable angina included in the Global Registry of Acute Coronary Events (January 2001 to September 2007). Main outcome measures: In-hospital events were myocardial infarction, arrhythmia, congestive heart failure or shock, major bleeding, stroke or death. Two-thirds of the patients were randomly chosen for model development and the remainder for model validation. Multiple logistic regression identified predictors of freedom from an in-hospital event, and a Freedom-from-Event score was developed. Results: Of the 16 127 patients in the model development group, 19.1% experienced an in-hospital adverse event. Fifteen factors independently predicted freedom from an adverse event: younger age; lower Killip class; unstable angina presentation; no hypotension; no ST deviation; no cardiac arrest at presentation; normal creatinine; decreased pulse rate; no hospital transfer; no history of diabetes, heart failure, peripheral arterial disease, or atrial fibrillation; prehospital use of statins, and no chronic warfarin. In the validation group, 18.6% experienced an adverse event. The model discriminated well between patients experiencing an in-hospital event and those who did not in both derivation and validation groups (c-statistic = 0.77 in both). Patients in the three lowest risk deciles had a very low in-hospital mortality (<0.5%) and an uncomplicated clinical course (>93% event-free in hospital). The model also predicted freedom from postdischarge events (death, myocardial infarction, stroke; c-statistic = 0.77). Conclusions: The GRACE Freedom-from-Event score can predict the in-hospital course of NSTE-ACS, and identifies up to 30% of the admitted population at low risk of death or any adverse in-hospital event.

Url:
DOI: 10.1136/hrt.2008.153387

Links to Exploration step

ISTEX:C815C8F32120772AF6C07A97197CB79093978BFA

Le document en format XML

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<div type="abstract">Objective: To identify patients with non-ST-elevation acute coronary syndrome (NSTE-ACS) with a low likelihood of any adverse in-hospital event. Design, setting and patients: Data were analysed from 24 097 patients with NSTEMI or unstable angina included in the Global Registry of Acute Coronary Events (January 2001 to September 2007). Main outcome measures: In-hospital events were myocardial infarction, arrhythmia, congestive heart failure or shock, major bleeding, stroke or death. Two-thirds of the patients were randomly chosen for model development and the remainder for model validation. Multiple logistic regression identified predictors of freedom from an in-hospital event, and a Freedom-from-Event score was developed. Results: Of the 16 127 patients in the model development group, 19.1% experienced an in-hospital adverse event. Fifteen factors independently predicted freedom from an adverse event: younger age; lower Killip class; unstable angina presentation; no hypotension; no ST deviation; no cardiac arrest at presentation; normal creatinine; decreased pulse rate; no hospital transfer; no history of diabetes, heart failure, peripheral arterial disease, or atrial fibrillation; prehospital use of statins, and no chronic warfarin. In the validation group, 18.6% experienced an adverse event. The model discriminated well between patients experiencing an in-hospital event and those who did not in both derivation and validation groups (c-statistic = 0.77 in both). Patients in the three lowest risk deciles had a very low in-hospital mortality (<0.5%) and an uncomplicated clinical course (>93% event-free in hospital). The model also predicted freedom from postdischarge events (death, myocardial infarction, stroke; c-statistic = 0.77). Conclusions: The GRACE Freedom-from-Event score can predict the in-hospital course of NSTE-ACS, and identifies up to 30% of the admitted population at low risk of death or any adverse in-hospital event.</div>
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<abstract>Objective: To identify patients with non-ST-elevation acute coronary syndrome (NSTE-ACS) with a low likelihood of any adverse in-hospital event. Design, setting and patients: Data were analysed from 24 097 patients with NSTEMI or unstable angina included in the Global Registry of Acute Coronary Events (January 2001 to September 2007). Main outcome measures: In-hospital events were myocardial infarction, arrhythmia, congestive heart failure or shock, major bleeding, stroke or death. Two-thirds of the patients were randomly chosen for model development and the remainder for model validation. Multiple logistic regression identified predictors of freedom from an in-hospital event, and a Freedom-from-Event score was developed. Results: Of the 16 127 patients in the model development group, 19.1% experienced an in-hospital adverse event. Fifteen factors independently predicted freedom from an adverse event: younger age; lower Killip class; unstable angina presentation; no hypotension; no ST deviation; no cardiac arrest at presentation; normal creatinine; decreased pulse rate; no hospital transfer; no history of diabetes, heart failure, peripheral arterial disease, or atrial fibrillation; prehospital use of statins, and no chronic warfarin. In the validation group, 18.6% experienced an adverse event. The model discriminated well between patients experiencing an in-hospital event and those who did not in both derivation and validation groups (c-statistic = 0.77 in both). Patients in the three lowest risk deciles had a very low in-hospital mortality (>0.5%) and an uncomplicated clinical course (>93% event-free in hospital). The model also predicted freedom from postdischarge events (death, myocardial infarction, stroke; c-statistic = 0.77). Conclusions: The GRACE Freedom-from-Event score can predict the in-hospital course of NSTE-ACS, and identifies up to 30% of the admitted population at low risk of death or any adverse in-hospital event.</abstract>
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<p>Objective: To identify patients with non-ST-elevation acute coronary syndrome (NSTE-ACS) with a low likelihood of any adverse in-hospital event. Design, setting and patients: Data were analysed from 24 097 patients with NSTEMI or unstable angina included in the Global Registry of Acute Coronary Events (January 2001 to September 2007). Main outcome measures: In-hospital events were myocardial infarction, arrhythmia, congestive heart failure or shock, major bleeding, stroke or death. Two-thirds of the patients were randomly chosen for model development and the remainder for model validation. Multiple logistic regression identified predictors of freedom from an in-hospital event, and a Freedom-from-Event score was developed. Results: Of the 16 127 patients in the model development group, 19.1% experienced an in-hospital adverse event. Fifteen factors independently predicted freedom from an adverse event: younger age; lower Killip class; unstable angina presentation; no hypotension; no ST deviation; no cardiac arrest at presentation; normal creatinine; decreased pulse rate; no hospital transfer; no history of diabetes, heart failure, peripheral arterial disease, or atrial fibrillation; prehospital use of statins, and no chronic warfarin. In the validation group, 18.6% experienced an adverse event. The model discriminated well between patients experiencing an in-hospital event and those who did not in both derivation and validation groups (c-statistic = 0.77 in both). Patients in the three lowest risk deciles had a very low in-hospital mortality (<0.5%) and an uncomplicated clinical course (>93% event-free in hospital). The model also predicted freedom from postdischarge events (death, myocardial infarction, stroke; c-statistic = 0.77). Conclusions: The GRACE Freedom-from-Event score can predict the in-hospital course of NSTE-ACS, and identifies up to 30% of the admitted population at low risk of death or any adverse in-hospital event.</p>
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<corresp>Dr D Brieger, Concord Repatriation General Hospital, Coronary Care Unit, Level 3, Multi Building, Hospital Road, Concord, NSW Australia 2139;
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<title>Objective:</title>
<p>To identify patients with non-ST-elevation acute coronary syndrome (NSTE-ACS) with a low likelihood of any adverse in-hospital event.</p>
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<sec>
<title>Design, setting and patients:</title>
<p>Data were analysed from 24 097 patients with NSTEMI or unstable angina included in the Global Registry of Acute Coronary Events (January 2001 to September 2007).</p>
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<sec>
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<p>In-hospital events were myocardial infarction, arrhythmia, congestive heart failure or shock, major bleeding, stroke or death. Two-thirds of the patients were randomly chosen for model development and the remainder for model validation. Multiple logistic regression identified predictors of freedom from an in-hospital event, and a Freedom-from-Event score was developed.</p>
</sec>
<sec>
<title>Results:</title>
<p>Of the 16 127 patients in the model development group, 19.1% experienced an in-hospital adverse event. Fifteen factors independently predicted freedom from an adverse event: younger age; lower Killip class; unstable angina presentation; no hypotension; no ST deviation; no cardiac arrest at presentation; normal creatinine; decreased pulse rate; no hospital transfer; no history of diabetes, heart failure, peripheral arterial disease, or atrial fibrillation; prehospital use of statins, and no chronic warfarin. In the validation group, 18.6% experienced an adverse event. The model discriminated well between patients experiencing an in-hospital event and those who did not in both derivation and validation groups (c-statistic = 0.77 in both). Patients in the three lowest risk deciles had a very low in-hospital mortality (<0.5%) and an uncomplicated clinical course (>93% event-free in hospital). The model also predicted freedom from postdischarge events (death, myocardial infarction, stroke; c-statistic = 0.77).</p>
</sec>
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<title>Conclusions:</title>
<p>The GRACE Freedom-from-Event score can predict the in-hospital course of NSTE-ACS, and identifies up to 30% of the admitted population at low risk of death or any adverse in-hospital event.</p>
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<title>Predicting freedom from clinical events in non-ST-elevation acute coronary syndromes: the Global Registry of Acute Coronary Events</title>
<partName>Acute coronary syndromes</partName>
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<namePart>for the GRACE Investigators</namePart>
<affiliation>Dr D Brieger, Concord Repatriation General Hospital, Coronary Care Unit, Level 3, Multi Building, Hospital Road, Concord, NSW Australia 2139; davidb@email.cs.nsw.gov.au</affiliation>
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<affiliation>Coronary Care Unit, Concord Hospital, Concord, Australia</affiliation>
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<name type="personal">
<namePart type="given">K A A</namePart>
<namePart type="family">Fox</namePart>
<affiliation>Cardiovascular Research, Division of Medical & Radiological Sciences, The University of Edinburgh, Edinburgh, UK</affiliation>
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<roleTerm type="text">author</roleTerm>
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<namePart type="given">G</namePart>
<namePart type="family">FitzGerald</namePart>
<affiliation>Center for Outcomes Research, University of Massachusetts Medical School, Worcester, USA</affiliation>
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<namePart type="given">K A</namePart>
<namePart type="family">Eagle</namePart>
<affiliation>University of Michigan Health System, Ann Arbor, Michigan, USA</affiliation>
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<affiliation>Postgraduate Medical School, Department of Cardiology, Grochowski Hospital, Warsaw, Poland</affiliation>
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<namePart type="family">Avezum</namePart>
<affiliation>Dante Pazzanese Institute of Cardiology, São Paulo, Brazil</affiliation>
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<namePart type="given">C B</namePart>
<namePart type="family">Granger</namePart>
<affiliation>Duke University Medical Center, Durham, North Carolina, USA</affiliation>
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<namePart type="family">Costa</namePart>
<affiliation>Coronary Care Unit, Concord Hospital, Concord, Australia</affiliation>
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<namePart type="given">F A</namePart>
<namePart type="family">Anderson</namePart>
<namePart type="termsOfAddress">Jr</namePart>
<affiliation>Center for Outcomes Research, University of Massachusetts Medical School, Worcester, USA</affiliation>
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<roleTerm type="text">author</roleTerm>
</role>
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<name type="personal">
<namePart type="given">Ph G</namePart>
<namePart type="family">Steg</namePart>
<affiliation>Département de Cardiologie, INSERM U-698, Université Paris 7, AP-HP, Paris, France</affiliation>
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<dateIssued encoding="w3cdtf">2009-06</dateIssued>
<dateCreated encoding="w3cdtf">2009-02-25</dateCreated>
<copyrightDate encoding="w3cdtf">2009</copyrightDate>
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<abstract>Objective: To identify patients with non-ST-elevation acute coronary syndrome (NSTE-ACS) with a low likelihood of any adverse in-hospital event. Design, setting and patients: Data were analysed from 24 097 patients with NSTEMI or unstable angina included in the Global Registry of Acute Coronary Events (January 2001 to September 2007). Main outcome measures: In-hospital events were myocardial infarction, arrhythmia, congestive heart failure or shock, major bleeding, stroke or death. Two-thirds of the patients were randomly chosen for model development and the remainder for model validation. Multiple logistic regression identified predictors of freedom from an in-hospital event, and a Freedom-from-Event score was developed. Results: Of the 16 127 patients in the model development group, 19.1% experienced an in-hospital adverse event. Fifteen factors independently predicted freedom from an adverse event: younger age; lower Killip class; unstable angina presentation; no hypotension; no ST deviation; no cardiac arrest at presentation; normal creatinine; decreased pulse rate; no hospital transfer; no history of diabetes, heart failure, peripheral arterial disease, or atrial fibrillation; prehospital use of statins, and no chronic warfarin. In the validation group, 18.6% experienced an adverse event. The model discriminated well between patients experiencing an in-hospital event and those who did not in both derivation and validation groups (c-statistic = 0.77 in both). Patients in the three lowest risk deciles had a very low in-hospital mortality (<0.5%) and an uncomplicated clinical course (>93% event-free in hospital). The model also predicted freedom from postdischarge events (death, myocardial infarction, stroke; c-statistic = 0.77). Conclusions: The GRACE Freedom-from-Event score can predict the in-hospital course of NSTE-ACS, and identifies up to 30% of the admitted population at low risk of death or any adverse in-hospital event.</abstract>
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<title>Heart</title>
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<topic>Acute coronary syndromes</topic>
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<topic>Heart failure</topic>
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<subject>
<genre>hwp-journal-coll</genre>
<topic>Acute coronary syndromes</topic>
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<identifier type="ISSN">1355-6037</identifier>
<identifier type="eISSN">1468-201X</identifier>
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<identifier type="PublisherID-nlm-ta">Heart</identifier>
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<date>2009</date>
<detail type="volume">
<caption>vol.</caption>
<number>95</number>
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<detail type="issue">
<caption>no.</caption>
<number>11</number>
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<extent unit="pages">
<start>888</start>
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<identifier type="ark">ark:/67375/NVC-JM8GR853-6</identifier>
<identifier type="DOI">10.1136/hrt.2008.153387</identifier>
<identifier type="href">heartjnl-95-888.pdf</identifier>
<identifier type="ArticleID">ht153387</identifier>
<identifier type="PMID">19246481</identifier>
<identifier type="local">heartjnl;95/11/888</identifier>
<accessCondition type="use and reproduction" contentType="copyright">2009 BMJ Publishing Group and British Cardiac Society</accessCondition>
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