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BACKGROUND: ACEF score has been shown to have predictive ability in the patients undergoing percutaneous coronary intervention (PCI). The ACEF II score has recently been developed to predict short-term mortality after cardiac surgery. We compared the predictive ability of the ACEF and ACEF II scores to predict mortality after PCI in the all-comers population. METHODS: The ACEF and ACEF II scores were calculated in 15,968 patients enrolled in the GLOBAL LEADERS study. Discrimination and calibration were assessed for outcomes after PCI. Recalibration of the regression model by updating the intercept and slope were performed to adjust the original ACEF model to the PCI setting. In a stratified approach, patients were divided into quintiles according to the score. Outcomes were compared between quintiles. RESULTS: The ACEF and ACEF II score were available in 14,941 and 14,355 patients respectively. Discrimination for 30-day all-cause mortality was acceptable for both scores (C-statistic ACEF 0.75 and ACEF II 0.77). For 2-year all-cause mortality, the discrimination of ACEF score was acceptable (C-statistic 0.72) while the discrimination of ACEF II score was moderate (C-statistic 0.69). Both scores identified patients at high risk of mortality but overestimated all-cause mortality at 30 days in all quintiles. After recalibration, agreement between predicted and observed 30-day all-cause mortality in both scores are close to the identity line. CONCLUSIONS: The ACEF II model did not improve the predictive ability of the ACEF score. Recalibrated ACEF model can be used to estimated all-cause mortality rate at 30 days after PCI.

Original publication




Journal article


Int J Cardiol

Publication Date





43 - 50


ACEF, ACEF II, GLOBAL LEADERS, Mortality, Percutaneous coronary intervention, Age Factors, Cause of Death, Coronary Angiography, Coronary Artery Disease, Europe, Female, Heart Ventricles, Humans, Incidence, Male, Middle Aged, Percutaneous Coronary Intervention, Postoperative Period, Prognosis, Prospective Studies, Registries, Risk Assessment, Risk Factors, Stroke Volume, Survival Rate