A Validated Prediction Model for All Forms of Acute Coronary Syndrome

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. 2,3By 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-