Predictive value of the combination of age, creatinine, and ejection fraction (ACEF) score and Fibrinogen in patients with acute coronary syndromes undergoing percutaneous coronary intervention

Preprint | 
10.55415/deep-2023-0032.v1
This is not the most recent version. There is anewer versionof this content available.
Yuhao Zhao#
Center for Coronary Artery Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing 100020, China
Center for Coronary Artery Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing 100020, China
Zongsheng Guo#
Heart Center & Beijing Key Laboratory of Hypertension, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
Heart Center & Beijing Key Laboratory of Hypertension, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
Zheng Liu
Heart Center & Beijing Key Laboratory of Hypertension, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
Heart Center & Beijing Key Laboratory of Hypertension, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
Xinchun Yang
Heart Center & Beijing Key Laboratory of Hypertension, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
Heart Center & Beijing Key Laboratory of Hypertension, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
Lei Zhao*
Heart Center & Beijing Key Laboratory of Hypertension, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
Heart Center & Beijing Key Laboratory of Hypertension, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China

# contributed equally to this work, * Corresponding author


Abstract

Background: The purpose of this study was to explore whether the FIB can improve the predictive value of ACEF in patients with ACS. 

Methods: A total of 290 ACS patients were enrolled in this study. The clinical characteristics and MACE was recorded. 

Results: Multivariate logistic regression analysis revealed that the level of FIB (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) emerged as independent predictors for MACE. On the basis of the regression coefficient of 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), higher than the ACEF score, SYNTAX score and Grace score (0.627, 0.637 and 0.570 respectively). 

Conclusion: Compared with other risk scores, the ACEF-FIB also had better discrimination ability based on ROC curve analysis, net reclassification improvement and integrated discrimination improvement.

Supplementary Material
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  • 16 May 2023 19:12 Version 1
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