Abstract

Background: Nearly 10% of patients with an actual acute coronary syndrome (ACS) are discharged with an inadequate diagnosis. Aim To select clinical and laboratory predictors to identify patients with a high likelihood of ACS in the Chest Pain Unit. Material and methods: Prospective evaluation of patients consulting in a Chest Pain Unit of a University Hospital. Initial assessment was standardized and included evaluation of pain characteristics, electrocardiogram and Troponin I. Independent predictors of ACS were identified with a multiple logistic regression. Results: In a four years period, 1,168 patients aged 62