BACKGROUND: There are multiple risk scores to determine the prognosis of high-risk @entity1 presenting with @entity1187 ( @entity1187 ) to @entity341 ( @entity341 ) and @entity662 units (CPU), however, there are few options for @entity1 without @entity1187 (no diagnostic ST-segment deviation or positive biomarkers). OBJECTIVES: To derive a clinical risk score for the management of lower-risk @entity1 seen in @entity341 CPUs. METHODS: We evaluated all @entity1 triaged through the Mount Sinai @entity341 CPU over a 76-month period who underwent stress testing after negative serial biomarkers and ECGs. Primary and secondary endpoints of hospital admission and coronary revascularization were retrospectively obtained. Variables associated with admission at P < 0.1 level were entered into a multivariable model. Each variable was assigned an integer score based on the beta coefficients in the final model. RESULTS: A total of 4,666 @entity1 were evaluated and 738 (15.8%) had an abnormal stress test, 575 (12.3%) were admitted to the hospital, and 133 (2.9%) underwent coronary revascularization. A score consisting of age > 55 years, gender, @entity662 quality (typical vs atypical), known @entity453 , @entity6 , smoking, and abnormal ECG demonstrated strong correlation between observed vs predicted hospital admission. The clinical score showed good ability to predict admission with a receiver operating characteristic (ROC) area of 0.72, which improved to 0.81 when the results of stress testing were added. CONCLUSIONS: This new clinical risk score is simple to use, predicts a clinically relevant outcome to @entity341 physicians, and the results of noninvasive testing are additive.

A simple scoring tool for the evaluation of XXXX in an emergency department @entity662 unit.

@entity1 :: ('9606', 'Species') :: ['patients'] @entity1187 :: ('MESH:D054058', 'Disease') :: ['ACS', 'acute coronary syndromes'] @entity662 :: ('MESH:D002637', 'Disease') :: ['chest pain'] @entity6 :: ('MESH:D003920', 'Disease') :: ['shortness of breath, diabetes'] @entity341 :: ('MESH:D004630', 'Disease') :: ['ED', 'emergency departments'] @entity453 :: ('MESH:D003324', 'Disease') :: ['coronary artery disease']
@entity1 :: (9606,Species) :: ['patients']
