Presepsin is a biomarker that can predict mortality in sepsis patients.

Objective: Predicting the prognosis of sepsis, a major health problem worldwide, is vital to guide the treatment process accordingly. The aim of this study was to evaluate the ability of presepsin levels to predict mortality in patients with sepsis.

Methods: The study included 87 intensive care unit patients with sepsis, 30 of whom survived. Complete blood count, blood gas, C-reactive protein, procalcitonin, albumin, and presepsin levels were analyzed. Binary logistic regression and receiver operating characteristic analyses were performed for presepsin levels.

Results: Presepsin levels were higher in non-survivors than in survivors. There was no significant difference in other laboratory parameters. The predictive value of presepsin level on mortality was found to be 78.20%. The cutoff value in the receiver operating characteristic curve graph for presepsin levels is 612.70 pg/mL. The positive predictive value of presepsin levels in terms of mortality is 0.5735, and the negative predictive value is 0.8512. The sensitivity of presepsin levels in terms of mortality is 73.70%, and the specificity is 73.30%. The area under the curve value in the receiver operating characteristic curve plot for mortality for presepsin levels is 0.819.

Conclusion: Presepsin levels may predict mortality in patients with sepsis. Presepsin levels above the cutoff value of 612.70 pg/mL may be considered a risk factor for mortality in patients with sepsis.