Predictive Value of a Combination of the Age, Creatinine and Ejection Fraction (ACEF) Score and Fibrinogen Level in Patients with Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention

Abstract

Background: The purpose of this study was to explore whether consideration of FIB levels might improve the predictive value of the ACEF score in patients with ACS. Methods: A total of 290 patients with ACS were enrolled in this study. The clinical characteristics and MACE were recorded. Results: Multivariate logistic regression analysis revealed that the FIB level (odds ratio = 7.798, 95%CI, 3.44–17.676, P < 0.001) and SYNTAX score (odds ratio = 1.034, 95%CI, 1.001–1.069, P = 0.041) were independent predictors of MACE. On the basis of the regression coefficient for FIB, the ACEF-FIB was developed. The area under the ROC of the ACEF-FIB scoring system in predicting MACE after PCI was 0.753 (95%CI 0.688–0.817, P < 0.001), a value greater than those for the ACEF score, SYNTAX score and Grace score (0.627, 0.637 and 0.570, respectively). Conclusion: ACEF-FIB had better discrimination ability than the other risk scores, according to ROC curve analysis, net reclassification improvement and integrated discrimination improvement.