A validated prediction model for all forms of acute coronary syndrome - Estimating the risk of 6-month postdischarge death in an international registry

被引:1240
作者
Eagle, KA
Lim, MJ
Dabbous, OH
Pieper, KS
Goldberg, RJ
Van de Werf, F
Goodman, SG
Granger, CB
Steg, PG
Gore, JM
Budaj, A
Avezum, A
Flather, MD
Fox, KAA
机构
[1] Univ Michigan Hlth Syst, Dept Internal Med, Ann Arbor, MI USA
[2] Univ Massachusetts, Sch Med, Dept Med, Worcester, MA USA
[3] Duke Univ, Med Ctr, Dept Med, Durham, NC 27710 USA
[4] Univ Ziekenhuis Gasthuisberg, Dept Cardiol, Louvain, Belgium
[5] Univ Toronto, St Michaels Hosp, Canadian Heart Res Ctr, Toronto, ON M5B 1W8, Canada
[6] Univ Toronto, St Michaels Hosp, Terrence Donnelly Heart Ctr, Toronto, ON M5B 1W8, Canada
[7] Univ Toronto, St Michaels Hosp, Div Cardiol, Toronto, ON M5B 1W8, Canada
[8] Hop Bichat, F-75877 Paris, France
[9] Grochowski Hosp, Postgrad Med Sch, Warsaw, Poland
[10] Educ & Res Inst Hosp Albert Einstein, Clin Res Ctr, Sao Paulo, Brazil
[11] Royal Brompton & Harefield NHS Trust, London, England
[12] Univ Edinburgh, Edinburgh, Midlothian, Scotland
[13] Royal Infirm, Edinburgh, Midlothian, Scotland
来源
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION | 2004年 / 291卷 / 22期
关键词
D O I
10.1001/jama.291.22.2727
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Context Accurate estimation of risk for untoward outcomes after patients have been hospitalized for an acute coronary syndrome (ACS) may help clinicians guide the type and intensity of therapy. Objective To develop a simple decision tool for bedside risk estimation of 6-month mortality in patients surviving admission for an ACS. Design, Setting, and Patients A multinational registry, involving 94 hospitals in 14 countries, that used data from the Global Registry of Acute Coronary Events (GRACE) to develop and validate a multivariable stepwise regression model for death during 6 months postdischarge. From 17142 patients presenting with an ACS from April 1, 1999, to March 31, 2002, and discharged alive, 15007 (87.5%) had complete 6-month follow-up and represented the development cohort for a model that was subsequently tested on a validation cohort of 7638 patients admitted from April 1, 2002, to December 31, 2003. Main Outcome Measure All-cause mortality during 6 months postdischarge after admission for an ACS. Results The 6-month mortality rates were similar in the development (n=717; 4.8%) and validation cohorts (n=331; 4.7%). The risk-prediction tool for all forms of ACS identified 9 variables predictive of 6-month mortality: older age, history of myocardial infarction, history of heart failure, increased pulse rate at presentation, lower systolic blood pressure at presentation, elevated initial serum creatinine level, elevated initial serum cardiac biomarker levels, ST-segment depression on presenting electiocardiogram, and not having a percutaneous coronary intervention performed in hospital. The c statistics for the development and validation cohorts were 0.81 and 0.75, respectively. Conclusions The GRACE 6-month postdischarge prediction model is a simple, robust tool for predicting mortality in patients with ACS. Clinicians may find it simple to use and applicable to clinical practice.
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收藏
页码:2727 / 2733
页数:7
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