A predictive model for acute heart failure after Percutaneous Coronary Intervention in patients with ST-Segment Elevation Myocardial Infarction

Abstract

Background and Aims: To investigate risk factors for developing acute heart failure (AHF) after percutaneous coronary intervention(PCI) in patients with ST-segment elevation myocardial(STEMI) and develop a predictive model for the risks. Methods:A total of 810 STEMI patients were divided into a modeling group (n = 655) and a validation group (n = 155). A risk score was established in the modeling group, and validated in the validation group. Results: 130 patients experienced AHF during hospitalization. In the modeling group, 7 variables were identified as independent risk factors for AHF, including female gender, acute anterior wall myocardial infarction, multibranch vasculopathy, heart rate, systolic blood pressure, randomized blood glucose and creatinine clearance. A columnar plot of in-hospital AHF was created using these factors. The area under the curve (AUC) was 0.72 (95%CI 0.67-0.76). The bootstrap consistency index of the nomogram was 0.72. The results indicate that this score has good predictive value for the development of AHF during hospitalization in patients with STEMI. Conclusion: Based on 7 risk factors, a prediction score was established to predict the risk of AHF during hospitalization in patients with STEMI. Predictive scores are used to identify patients at high risk of developing AHF.