Abstract: SA-PO113
Mortality Prediction of Plasma Presepsin in Septic Patients Requiring Continuous Renal Replacement Therapy
Session Information
- AKI: Biomarkers, Imaging, Interventions
November 04, 2023 | Location: Exhibit Hall, Pennsylvania Convention Center
Abstract Time: 10:00 AM - 12:00 PM
Category: Acute Kidney Injury
- 102 AKI: Clinical, Outcomes, and Trials
Authors
- Lee, Ji won, Konyang University Hospital, Daejeon, Korea (the Republic of)
- Lee, Gibeop, Konyang University Hospital, Daejeon, Korea (the Republic of)
- Yoon, Se-Hee, Konyang University Hospital, Daejeon, Korea (the Republic of)
- Yun, Sung-Ro, Konyang University Hospital, Daejeon, Korea (the Republic of)
- Hwang, Won Min, Konyang University Hospital, Daejeon, Korea (the Republic of)
- Park, Yohan, Konyang University Hospital, Daejeon, Korea (the Republic of)
Background
Presepsin is a more specific biomarker of sepsis, and many research results have been reported recently. However, since presepsin is highly affected by kidney function, acute kidney injury (AKI), especially the situation requiring continuous renal replacement therapy (CRRT), has a significant impact on presepsin dynamics and has not been elucidated. This study analyzed the relationship between plasma presepsin and mortality in patients requiring CRRT due to AKI.
Methods
From April 2022 to March 2023, patients who underwent a presepsin test just before CRRT were included. A total of 57 patients were enrolled, of which 35 were sepsis and 22 were non-sepsis. The predictive values of APACHE-II score, SOFA score, and plasma presepsin for 28-day mortality were analyzed using receiver operating characteristics (ROC) curve analysis.
Results
In predicting 28-day mortality in the overall cohort, area under the ROC (AuROC) values of APACHE-II score, SOFA score, and serum presepsin were 0.663, 0.731, and 0.636, respectively, which the presepsin showed the lowest predictive value. However, in the analysis of only sepsis patients, the AuROC values of APACHE-ΙΙ score, SOFA score, and serum presepsin were 0.645, 0.681, and 0.802, respectively, which the presepsin was the best predictive marker for 28-day mortality. Moreover, in Cox regression analysis, high presepsin level was observed as an independent risk factor for 28-day mortality in sepsis patients (HR 3.823, P = 0.011).
Conclusion
Presepsin was not a useful marker of 28-day mortality in overall CRRT patients, including non-sepsis. However, in patients with sepsis, it was observed as the good predictive marker of mortality, which is thought to be because presepsin is a very specific marker for infection. Presepsin may be helpful in clinical practice for predicting mortality in CRRT patients with clinically suspected sepsis.