The potential predictors available within the dataset that will be considered for model development include age, gender, BMI, ACS, cardiogenic shock, OHCA, estimated GFR, LVEF, ACS, mechanical ventricular support, diabetes, GP IIb/IIIa inhibitor, and COACT. This evidence concerns the gene ITGA2B and diabetes mellitus.