The new classification method in ACEF score is more useful in patients with acute coronary syndrome without ST segment elevation

Goal In this study, it was investigated whether the age, creatinine, and ejection fraction (ACEF) score [age (years) / ejection fraction (%) +1 (if creatinine >2 mg / dL)] could predict in-hospital mortality in patients with non-ST-elevation acute coronary syndrome (NSTE-ACS) and its relationship with the Global Record of Acute Coronary Events (GRACE) risk score were investigated.Material and methods The study enrolled 658 NSTE-ACS patients from January 2016 to August 2020. The patients were divided into two groups according to the ACEF score with an optimum cut-off value of 1.283 who were divided into two groups according to the ACEF score: low ACEF (≤1.283, n:382) and high ACEF (>1.283, n: 276). The primary outcome of the study was in-hospital all-cause mortality. The primary outcome of the study was in-hospital all-cause mortality. Statistically accuracy was defined with area under the curve by receiver-operating characteristic curve analysis.Results In total, 13 (4.71 %) patients had in-hospital mortality. The ACEF score was significantly higher in the group with higher mortality than in the group with low mortality (2.1±0.53 vs. 1.34±0.56 p=0.001). The ACEF score was positively correlated with GRACE risk score (r=0.188 p<0.0001). In ROC curve analysis, the AUC of the ACEF score for predicting in-hospital mortality was 0.849 (95 % CI, 0.820 to 0.876; p<0.0001); sensitivity, 92.3 %; specificity, 59.2 %, and the optimum cut-off value was >1.283.Conclusion The ACEF score presented excellent discrimination in predicting in-hospital mortality. We obtained an easier and more useful result by dividing the ACEF score into two groups instead of three in NSTE-ACS patients. As a simple, useful, and easily applicable risk stratification in the evaluation of an emergency event such as the ACEF score, it can significantly contribute to the identification of patients at high risk.