Across the entire spectrum of ACS and in general clinical practice, this model provides excellent ability to assess the risk for death and can be used as a simple nomogram to estimate risk in individual patients.

Objective To develop a clinical risk prediction tool for estimating the cumulative six month risk of death and death or myocardial infarction to facilitate triage and management of patients with acute coronary syndrome.

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LINICAL PREDICTION MODELS may be helpful for medical decision making 1 as patients judged to be at higher risk may receive more aggressive surveillance and/or earlier treatment, while patients estimated to be at lower risk may be reassured and managed less aggressively. 2,3 By using simple yet valid risk calculations, clinicians can accurately advise patients about their likelihood of an event, and how this likelihood translates into treatment decisions. The acute coronary syndrome (ACS) encompasses a continuum of conditions ranging from ST-segment elevation myocardial infarction (STEMI) to non-ST-segment elevation myocardial infarction (NSTEMI) and unstable an

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