biostudies-literatureCui LThis work was supported by the Anhui Province Natural Fund, China3662https://www.ebi.ac.uk/biostudies/studies/S-EPMC9985651biostudies-literatureUnknown13(1)The high mortality rate in sepsis patients is related to sepsis-associated liver injury (SALI). We sought to develop an accurate forecasting nomogram to estimate individual 90-day mortality in SALI patients. Data from 34,329 patients were extracted from the public Medical Information Mart for Intensive Care (MIMIC-IV) database. SALI was defined by total bilirubin (TBIL) > 2 mg/dL and the occurrence of an international normalized ratio (INR) > 1.5 in the presence of sepsis. Logistic regression analysis was performed to establish a prediction model called the nomogram based on the training set (n = 727), which was subsequently subjected to internal validation. Multivariate logistic regression analysis showed that SALI was an independent risk factor for mortality in patients with sepsis. The Scientific reportsDevelopment of a nomogram for predicting 90-day mortality in patients with sepsis-associated liver injury.PMC99856511808085MH228Liu LCui LBao JYu CShao MZhang CHuang RfalseDevelopment of a nomogram for predicting 90-day mortality in patients with sepsis-associated liver injury.The high mortality rate in sepsis patients is related to sepsis-associated liver injury (SALI). We sought to develop an accurate forecasting nomogram to estimate individual 90-day mortality in SALI patients. Data from 34,329 patients were extracted from the public Medical Information Mart for Intensive Care (MIMIC-IV) database. SALI was defined by total bilirubin (TBIL) > 2 mg/dL and the occurrence of an international normalized ratio (INR) > 1.5 in the presence of sepsis. Logistic regression analysis was performed to establish a prediction model called the nomogram based on the training set (n = 727), which was subsequently subjected to internal validation. Multivariate logistic regression analysis showed that SALI was an independent risk factor for mortality in patients with sepsis. The 2023-01-01T00:00:00Z2023 Mar2025-04-04T11:36:26.437Z2025-02-18T23:35:05.728ZS-EPMC99856513687105410.1038/s41598-023-30235-5