Prognostic Value of Machine-Learning-Based PRAISE Score for Ischemic and Bleeding Events in Patients With Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention.

ABSTRACT: Background The PRAISE (Prediction of Adverse Events Following an Acute Coronary Syndrome) score is a machine-learning-based model for predicting 1-year all-cause death, myocardial infarction, and Bleeding Academic Research Consortium (BARC) type 3/5 bleeding. Its utility in an unselected Asian population undergoing percutaneous coronary intervention for acute coronary syndrome remains unknown. We aimed to validate the PRAISE score in a real-world Asian population. Methods and Results A total of 6412 consecutive patients undergoing percutaneous coronary intervention for acute coronary syndrome were prospectively included. The PRAISE scores were compared with established scoring systems (GRACE [Global Registry of Acute Coronary Events] 2.0, PRECISE-DAPT (Predicting Bleeding Complications in

SUBMITTER: Shi B 

PROVIDER: S-EPMC10122888 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature