BACKGROUND: We performed this study to develop a new scoring system to stratify different levels of risk in @entity1 admitted to hospital with a diagnosis of @entity1459 ( @entity1459 ), which is a complex syndrome that encompasses different outcomes. Many prognostic variables have been described but few efforts have been made to group them in order to enhance their individual predictive power. METHODS: In a first phase, 473 @entity1 were prospectively analyzed to determine which factors were significantly associated with the in-hospital occurrence of @entity63 , @entity583 ( @entity583 ) or @entity204 . A risk score ranging from 0 to 10 points was developed using a multivariate analysis. In a second phase, such score was validated in a new sample of 242 @entity1 and it was finally applied to the entire population (n = 715). RESULTS: ST-segment deviation on the electrocardiogram, age > or = 70 years, previous bypass surgery and troponin T > or = 0.1 ng/mL were found as independent prognostic variables. A clear distinction was shown among categories of low, intermediate and high risk, defined according to the risk score. The incidence of the triple end-point was 6 %, 19.2 % and 44.7 % respectively, and the figures for @entity583 or @entity204 were 2 %, 11.4 % and 27.6 % respectively (p < 0.001). CONCLUSIONS: This new scoring system is simple and easy to achieve. It allows a very good stratification of risk in @entity1 having a clinical diagnosis of @entity1459 . They may be divided in three categories, which could be of help in the decision-making process.

A new scoring system to stratify risk in XXXX .

@entity1 :: ('9606', 'Species') :: ['patients'] @entity63 :: ('MESH:D007511', 'Disease') :: ['refractory ischemia'] @entity1459 :: ('MESH:D000789', 'Disease') :: ['UA', 'unstable angina'] @entity583 :: ('MESH:D009203', 'Disease') :: ['AMI', 'acute myocardial infarction'] @entity204 :: ('MESH:D003643', 'Disease') :: ['death']
@entity1459 :: (MESH:D000789,Disease) :: ['unstable angina']
