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Chinese Journal of Critical Care & Intensive Care Medicine(Electronic Edition)

   

Risk factors and predictive value of early mortality in critically ill patients with septic acute kidney injury requiring renal replacement therapy

Jin Lin1,(), Chenlong Zhao1, Zhilin Yue1, Meili Duan1   

  1. 1. Department of Critical Care Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
  • Received:2024-08-26
  • Contact: Jin Lin

Abstract:

Objective:

To investigate the relevant risk factors affecting early mortality within 48 hours after initiating continuous renal replacement therapy (CRRT) in patients with septic acute kidney injury(AKI), and simultaneously evaluate the predictive value of these risk factors for early mortality.

Methods:

A retrospective analysis of clinical data was conducted on 258 patients with sepsis-related AKI who underwent CRRT in the Intensive Care Medicine Department of Beijing Friendship Hospital, Capital Medical University,from January 2016 to December 2021. Patients were divided into survival group (203 cases) and non-survival group (55cases) based on whether they died within 48 hours of CRRT initiation. Logistic regression was used to assess the risk factors of early death, and a combined prediction factor was constructed using logistic regression for independent risk factors. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the predictive value of the combined prediction factor for early mortality.

Results

The early mortality rate of 258 patients with sepsis-related AKI receiving CRRT was 21.3%. Results from the multivariate logistic regression analysis indicate that lower creatinine levels [OR=1.50 (per 100 μmol/L decrease), 95% CI: 1.15-1.95], lower oxygenation index levels [OR=1.05 (per 10 mmHg decrease), 95% CI: 1.02-1.09], and elevated lactate levels [OR=1.20 (per 1 mmol/L increase), 95% CI: 1.10-1.30] were independent risk factors for early mortality in patients with septic AKI undergoing CRRT. A new combined prediction factor was generated through logistic regression, and the ROC curve analysis of the combined factor showed an AUC of 0.804 for predicting early mortality.

Conclusions

In patients with septic acute kidney injury undergoing continuous renal replacement therapy, low levels of creatinine and oxygenation index, as well as high lactate levels, have been identified as independent risk factors for early mortality. The composite factor derived from these three indicators demonstrates clinical utility in predicting early mortality.

Key words: Sepsis, Acute kidney injury, Continuous renal replacement therapy, Early mortality

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