This novel nomogram effectively predicts SALI risk in sepsis patients by integrating readily available clinical parameters. While external validation is needed, the model shows promise as a practical tool for early risk stratification, potentially enabling timely interventions in high-risk patients.

This retrospective study analyzed 415 sepsis patients admitted to ICU from January 2019 to January 2022.

Patients with pre-existing liver conditions were excluded. Using LASSO regression and multivariate logistic analysis, we developed a predictive nomogram incorporating clinical variables.

Model performance was evaluated through internal validation using bootstrapping method.

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