GSTM1 and Stroke: Least absolute shrinkage and selection operator (LASSO) regression identified predictive variables for post-discharge mortality, with model performance assessed via receiver operating characteristic (ROC) analysis and decision curve analysis (DCA).<h4>Results</h4>Six mortality risk predictors were identified: age, stroke history, New York Heart Association (NYHA) classification, hemoglobin (Hb) levels, estimated glomerular filtration rate (eGFR), and primary percutaneous coronary intervention (PPCI) implementation.