A Combined Inflammatory-Nutritional Index Model for Early Prognosis Prediction in Sepsis: Evidence From Logistic Regression and Decision Curve Analysis

Key Points

• The aim is to evaluate how combining inflammatory and nutritional indices can enhance early prognosis prediction in sepsis.
• Developed a nomogram based on inflammatory and nutritional-immune indices.
• Used logistic regression for analysis of predictors.
• Employed decision curve analysis to assess clinical utility.
• SII and NPS were identified as strong independent predictors of short-term mortality.
• The nomogram provides a personalized risk prediction tool for sepsis patients.
• Integration of these indices improves prognostic evaluation compared to existing models.