Prognostic value of the neutrophil percentage-to-albumin ratio for mortality in ICU patients with myocardial infarction: a retrospective cohort and machine learning analysis

The NPAR serves as an independent predictor of mortality at 30 and 360 days in MI patients admitted to the intensive care unit (ICU). When integrated into machine learning models, NPAR enhances predictive accuracy. These results indicate that NPAR serves as an independent predictor of short- and long-term mortality in ICU-admitted MI patients. Given its simplicity and accessibility from routine laboratory tests, NPAR can be feasibly incorporated into clinical decision-making and risk stratification protocols in critical care settings to facilitate individualized risk assessment and improve outcomes.