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Rev Port Cardiol ; 34(6): 383-91, 2015 Jun.
Article in English | MEDLINE | ID: mdl-26051757

ABSTRACT

OBJECTIVES: Given the increasing focus on early mortality and readmission rates among patients with acute coronary syndrome (ACS), this study was designed to evaluate the accuracy of the GRACE risk score for identifying patients at high risk of 30-day post-discharge mortality and cardiovascular readmission. METHODS: This was a retrospective study carried out in a single center with 4229 ACS patients discharged between 2004 and 2010. The study endpoint was the combination of 30-day post-discharge mortality and readmission due to reinfarction, heart failure or stroke. RESULTS: One hundred and fourteen patients had 30-day events: 0.7% mortality, 1% reinfarction, 1.3% heart failure, and 0.2% stroke. After multivariate analysis, the six-month GRACE risk score was associated with an increased risk of 30-day events (HR 1.03, 95% CI 1.02-1.04; p<0.001), demonstrating good discrimination (C-statistic: 0.79 ± 0.02) and optimal fit (Hosmer-Lemeshow p=0.83). The sensitivity and specificity were adequate (78.1% and 63.3%, respectively), and negative predictive value was excellent (99.1%). In separate analyses for each event of interest (all-cause mortality, reinfarction, heart failure and stroke), assessment of the six-month GRACE risk score also demonstrated good discrimination and fit, as well as adequate predictive values. CONCLUSIONS: The six-month GRACE risk score is a useful tool to predict 30-day post-discharge death and early cardiovascular readmission. Clinicians may find it simple to use with the online and mobile app score calculator and applicable to clinical daily practice.


Subject(s)
Acute Coronary Syndrome/complications , Cardiovascular Diseases/etiology , Cardiovascular Diseases/mortality , Patient Discharge , Patient Readmission/statistics & numerical data , Acute Coronary Syndrome/therapy , Aged , Aged, 80 and over , Europe , Female , Humans , Male , Middle Aged , Retrospective Studies , Risk Assessment , Time Factors
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