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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
Design:
2 cohort studies, 1 for derivation and 1 for validation (Global Registry of Acute Coronary Events [GRACE]).
Setting:
94 hospitals in 14 countries.
Patients:
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 …
Footnotes
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For correspondence: Dr K A Eagle, University of Michigan Health System, Ann Arbor, MI, USA. keagleumich.edu
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Source of funding: Aventis Pharma.