Predictive models for arrhythmia risk stratification should be developed using machine learning algorithms incorporating CRP levels, electrolyte disturbances, and clinical severity scores to identify pneumonia patients at the highest risk of new-onset atrial flutter. This evidence concerns the gene CRP and cardiac arrhythmia.