Dynamic variability of serum sodium, potassium, and calcium and mortality after acute myocardial infarction: insights from traditional and machine learning approaches

Electrolyte variability may capture dynamic homeostatic instability beyond single admission values, yet the comparative prognostic importance of sodium, potassium, and calcium variability in critically ill patients with acute myocardial infarction (AMI) remains unclear. Their relative predictive importance has not been systematically evaluated using machine learning (ML) approaches. We conducted a retrospective cohort study using MIMIC-IV (v3.1). Patients were divided into quartiles based on ele