Dynamic nomogram predicts sepsis risk in patients with acute liver failure: Analysis of intensive care database with external validation

Based on easily identifiable clinical data, we developed the SIALF model to predict the risk of sepsis in patients with ALF. The model demonstrated robust predictive efficiency, outperformed Sequential Organ Failure Assessment and systemic inflammatory response syndrome scores, and was validated in an external cohort. The model-based risk stratification and online calculator might further facilitate the early detection and appropriate treatment for this subpopulation.