Multicenter evaluation of prognostic nutritional index and systemic immune-inflammation index in predicting mortality among critically ill cardiovascular and cerebrovascular patients with varied glucose metabolism: a machine learning-based cohort stu

Integration of PNI and SII improves risk stratification and mortality prediction among critically ill patients with cardiovascular and cerebrovascular diseases, especially those with prediabetes. The machine learning models exhibited strong generalizability when externally validated using real-world data from two tertiary hospitals, underscoring their potential for broader clinical application and personalized decision-making.