Abstract
Abstract Purpose To investigate the value of Global Registry of Acute Coronary Events (GRACE) score combined with B-type natriuretic peptide (BNP) and glycosylated hemoglobin (HbA1c) in predicting in-hospital major adverse cardiovascular events (MACE) in patients with acute coronary syndrome (ACS) after percutaneous coronary intervention (PCI). Methods A total of consecutive 675 patients with acute coronary syndrome (ACS) admitted to our hospital from June 2019 to June 2020, and finally, 319 patients treated with the percutaneous coronary intervenion (PCI) were enrolled. Major adverse cardiovascular events (MACE) during hospitalization included cardiac death, cardiogenic shock, congestive heart failure, recurrent ischemic chest pain and malignant arrhythmia. The area under the curve (AUC) was used to evaluate the predictive value of MACE during hospitalization. Results Among 319 patients, during hospitalization, 26 patients (8.15%) experienced the MACE. Compared to that of non-MACE group, there were more patients with previous history of heart failure (P<0.001), lower in-admission systolic and diastolic blood pressure (P all<0.05), and higher heart rate, GRACE score, BNP, and HbA1c levels in the MACE group (P all<0.05). Multivariate logistic regression analysis showed that history of heart failure (OR: 1.498, 95% CI: 1.144–2.249), GRACE score (OR: 1.040, 95% CI: 1.017–1.063), BNP (OR: 1.019, 95% CI: 1.012–1.026) and HbA1C (OR: 1.199, 95% CI: 1.043–1.378) were independent risk factors for MACE in patients with ACS after PCI (P all<0.05). The AUC of GRACE score for predicting MACE in ACS patients after PCI was 0.758, while the AUC of BNP and HbA1C was 0.838 and 0.788, respectively. When GRACE score combined with BNP and HbA1c, the AUC was increased to 0.876, which was significantly higher than the GRACE score alone (Z=4.142, P<0.001). Conclusion In this study, we reported for the first time, GRACE score combined with BNP and HbA1c significantly improved the predictive value of in-hospital MACE in ACS patients after PCI compared with traditional GRACE score, which can help clinicians identify high risk patients to improve their prognosis in the clinical practice. Funding Acknowledgement Type of funding sources: Public hospital(s). Main funding source(s): Young and middle-aged talents in the XPCC Science and Technology Project (2020CB012); Key Science and Technology Project of Shihezi (2019ZH09) ROC Curve
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