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<p>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&#xa0;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.</p>

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

  • 期刊论文

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  • 发表日期：

    2025年6月7日

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  • Chongyang Ye,
  • Chunyan Zhu,
  • Shijing Hu,
  • Yulin Mei,
  • Tianjun Yang

摘要

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.