Prediction Model of Major Cardiovascular Events in Patients with Acute Myocardial Infarction Based on Clinical Characteristics, Electrocardiographic Findings, and Biomarkers

Background

Acute Myocardial Infarction (AMI) is a life-threatening medical emergency and remains one of the leading causes of cardiovascular morbidity and mortality worldwide, including in Indonesia. As the main referral center in Northern Sumatra, Haji Adam Malik General Hospital, Medan, manages a substantial number of AMI cases, where survivors of the initial event remain at high risk for developing Major Adverse Cardiovascular Events (MACE). This study aimed to develop a 30-day MACE prediction model by integrating clinical characteristics, electrocardiographic findings, and cardiac biomarkers among AMI patients treated at Haji Adam Malik General Hospital.