CVIA Journal

Announcing a new article publication for Cardiovascular Innovations and Applications journal. 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.

A total of 290 patients with ACS were enrolled in this study. The clinical characteristics and MACE were recorded. 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).

ACEF-FIB had better discrimination ability than the other risk scores, according to ROC curve analysis, net reclassification improvement and integrated discrimination improvement.

https://www.scienceopen.com/hosted-document?doi=10.15212/CVIA.2023.0027

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Yuhao Zhao, Zongsheng Guo and Zheng Liu et al. 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. CVIA. 2023. Vol. 8(1). DOI: 10.15212/CVIA.2023.0027