A predictive model to identify patients with suspected acute coronary syndromes at high risk of cardiac arrest or in-hospital mortality: An IMMEDIATE Trial sub-study

IJC Heart & Vasculature(2015)

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Abstract
•Predicting the composite outcome of cardiac arrest or death in patients with ACS•The developed predictive model showed good discrimination and excellent calibration.•A simple risk scoring system was designed for use by the EMS at the first encounter.•Glucose–insulin–potassium therapy reduces the overall odds of the composite outcome.•Absolute risk reduction may be more pronounced in patients with higher risk.
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Key words
Acute coronary syndrome,Glucose–insulin–potassium (GIK),Predictive model,Cardiac arrest,Mortality,Emergency medical service
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