
In this retrospective study of 5855 ICU patients with severe community-acquired pneumonia (SCAP), 654 developed sepsis. Using logistic regression and LASSO analysis, nine predictors were incorporated into a nomogram. The model demonstrated good predictive accuracy (C-index: 0.722) and outperformed existing tools such as qSOFA, CURB-65, SOFA, and APACHE II. This practical and cost-effective model may aid early sepsis detection and decision-making in SCAP management.
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