OR60. The acef (age, creatinine, ejection fraction) score predicts major adverse cardiac events in patients hospitalized for acute coronary syndrome

Abstract

Abstract Background and Aims Age, Creatine, and Ejection Fraction (ACEF) score is a simple model for predicting mortality in patients undergoing elective cardiac surgery. However, the ability of ACEF score to predict other outcomes, such as major adverse cardiac events (MACE) in patients hospitalized with ACS, is less established. Method and Result In this study, 71 patients who were admitted with ACS to Kediri General Hospital between January and June 2020 with echocardiography data were included. The follow-up period to observe MACE was 6 months. The ACEF score was calculated using the following formula: age (years)/left ventricular ejection fraction (%) + 1 (if baseline serum creatinine was > 2 mg/dl). The median ACEF score was 1.15 (0.6-5.08). A higher ACEF score was linked with higher SGOT, the presence of diabetes mellitus, anaemia, and left bundle branch block (LBBB) on admission. ACEF score's predictive performance was then evaluated. Receiver-operating characteristic (ROC) curve analysis was used to assess the ability of ACEF score to predict MACE. The observed AUC was 0.8 (95% CI 0.6-0.98). Using ACEF score cut-off of 1.79, the sensitivity was 85.7% and the specificity was 82.8% to predict future MACE. The AUC in this study was higher than that in previous studies. Kristic et al (2021) found AUC of 0.63 (0.55-0.7) for ACEF score in predicting MACE in NSTE-ACS. Conclusion ACEF score may serve a simple way to predict risk of future MACE in patients hospitalized for ACS.