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Clinical prediction guide
A bedside prediction tool predicted all cause mortality 6 months after discharge for acute coronary syndrome

https://doi.org/10.1136/ebm.9.6.188

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    Eagle KA, Lim MJ, Dabbous OH, et al. A validated prediction model for all forms of acute coronary syndrome: estimating the risk of 6-month postdischarge death in an international registry. JAMA 2004;291:272–733.
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 Q In patients hospitalised for acute coronary syndrome (ACS), does a bedside prediction tool predict all cause mortality?

    Clinical impact ratings GP/FP/Primary care ★★★★★☆☆ Internal medicine ★★★★★☆☆ Cardiology ★★★★★☆☆

    METHODS

    Embedded ImageDesign:

    2 cohort studies, 1 for derivation and 1 for validation (Global Registry of Acute Coronary Events [GRACE]).

    Embedded ImageSetting:

    94 hospitals in 14 countries.

    Embedded ImagePatients:

    patients who were ⩾18 years of age, alive at discharge, and hospitalised for presumed ACS and had ⩾1 of electrocardiographic changes consistent with ACS, serial increases in serum cardiac biomarkers, or confirmed coronary artery disease. The qualifying ACS must not have been precipitated by non-cardiovascular comorbid conditions. At discharge, patients were assigned to ST segment elevation myocardial infarction (STEMI), non-ST segment elevation myocardial infarction (NSTEMI), or unstable angina categories. 15 007 patients formed the derivation cohort and …

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    Footnotes

    • For correspondence: Dr K A Eagle, University of Michigan Health System, Ann Arbor, MI, USA. keagleumich.edu

    • Source of funding: Aventis Pharma.