TNNT2 and depressive symptom measurement: The SHAP algorithm confirmed the features' predictive importance, with higher NYHA class, elevated cTnT, and depression severity positively influencing PRA risk.<h4>Conclusions</h4>This RF model offers a robust, interpretable tool for early PRA risk stratification, integrating cardiac, hemostatic, psychological, and metabolic factors.