A study on the factors influencing mortality risk in sepsis-induced acute kidney injury based on analysis of the MIMIC database.

Sepsis-induced acute kidney injury (SA-AKI) significantly increases mortality and healthcare burdens. Identifying key mortality risk factors is crucial for improving patient outcomes. This study aims to identify the primary factors affecting mortality in SA-AKI patients using the MIMIC-III database. A retrospective analysis was conducted on 4868 SA-AKI patients from the MIMIC-III database. Clinical data from the first 24 h of ICU admission were analyzed using logistic regression to identify mortality predictors. Key mortality predictors included advanced age (OR = 1.015, 95% CI: 1.006-1.024), severe AKI stages (OR = 1.470, 95% CI: 1.285-1.676), low serum albumin (OR = 0.606, 95% CI: 0.506-0.722), delayed antibiotics (OR = 1.001, 95% CI: 1.000-1.002), high AST (OR = 1.035, 95% CI: 1.027-1.083), and bilirubin (OR = 1.055, 95% CI: 1.037-1.083). The area under the curve (AUC) of the combined predictors for mortality risk was 0.796, indicating high predictive accuracy.

Conclusions

Early intervention and monitoring of identified risk factors such as age, AKI stage, albumin levels, and antibiotic timeliness can enhance survival rates in SA-AKI patients.