The Official Journal of EuroPCR and the European Association of Percutaneous Coronary Interventions (EAPCI)

A Comparison of Risk Prediction Models for Patients with Acute Coronary Syndromes

DOI: 10.4244/EIJ-D-21-00536

1. Department of Cardiology, National University of Ireland, Galway (NUIG), Galway, Ireland
2. Health Research Board Clinical Research Facility, Department of Medicine, NUIG, Galway, Ireland
3. Department of Cardiology, National University of Ireland Galway (NUIG), Galway, Ireland, Ireland

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In the current guidelines for acute coronary syndrome (ACS), the GRACE risk score is recommended for risk stratification. The GRACE risk score 2.0 provides the risk of death and myocardial infarction (MI) after ACS, but it does not provide a bleeding risk prediction. The PRECISE-DAPT and PARIS scores were developed from patient populations treated with percutaneous coronary intervention (PCI) regardless of their clinical presentations, and predict out-of-hospital bleeding risk. The PARIS score also provides a thrombotic risk prediction. As a tool for mortality prediction, the logistic clinical SYNTAX score was redeveloped from the GLOBAL LEADERS trial.1, 2 Recently, the PRAISE score, -based on machine-learning algorithm-, was developed for the combined prediction of death, MI, and major bleeding 1-year after discharge in ACS patients.3 These risk prediction models have been introduced into the clinical practice, but their performances have not been compared (Supplementary Table 1).

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