At the optimal penalty level, the LASSO regression identified 17 significant variables: diabetes mellitus, family history of coronary artery disease, previous percutaneous coronary intervention, use of clopidogrel, use of sacubitril valsartan, heart rate, blood platelet count, SIRI, NT-proBNP, TyG, TyG-BMI, AIP, apolipoprotein AI, cystatin C, total bilirubin, indirect bilirubin, and fibrinogen. Here, CST3 is linked to coronary artery disorder.