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Background: Sepsis is defined as life-threatening organ dysfunction caused by an abnormal host response to infection. The study aimed to evaluate the utility of presepsin (P-SEP) in predicting the risk of death in patients with sepsis at the time of intensive care unit (ICU) admission. Methods: Adult patients were included in the study if they met SEPSIS-3 criteria at ICU admission. Demographic and clinical data were collected. The following inflammatory parameters were determined: C-reactive protein (CRP), procalcitonin (PCT), interleukin-6 (IL-6), and presepsin (P-SEP). Material was collected for microbiological testing depending on the suspected source of infection. The primary endpoint was patient death before ICU discharge. The secondary endpoint was a positive microbiological test result. Results: Eighty-six patients were included in the study. Thirty patients (35%) died before discharge from the ICU. There was no difference in P-SEP, CRP, PCT, and IL-6 values between patients who survived and those who died (p > 0.05 for all). P-SEP, CRP, PCT, and IL-6 were determined at ICU admission and did not accurately predict the risk of death in ROC curve analysis (p > 0.05 for all). Confirmation of the location of the focus of bacterial infection by microbiological testing was obtained in 43 (49%) patients. P-SEP, PCT, CRP, and IL-6 were significantly higher in patients with positive microbiological findings. Conclusions: In patients with suspected sepsis admitted to the Intensive Care Unit, presepsin does not accurately predict the risk of in-hospital death, but it can predict a positive microbiological culture. [ABSTRACT FROM AUTHOR]

Introduction. Sepsis-associated brain dysfunction is a common organ dysfunction in sepsis. The main goal of this study was to verify whether the combined assessment of central nervous system injury markers (i.e. S100B, NSE, GFAP) and disease severity as per the Acute Physiology and Chronic Health Evaluation II (APACHE II), Simplified Acute Physiology Score II (SAPS II), and Sequential Organ Failure Assessment (SOFA) classification systems, would increase the accuracy of death prediction in septic shock. Material and methods. Markers of neuronal damage were determined in 55 patients diagnosed with septic shock with no previous neurological disease. Clinical data was collected and the scores on the APACHE II, SAPS II and SOFA prognostic scales were calculated. Death before discharge from the Intensive Care Unit (ICU) was established as the endpoint. Results. Nineteen patients (35%) died before ICU discharge. Patients who died had significantly higher S100B and NSE values, and APACHE II, SAPS II and SOFA scores (p < 0.05 for all). At the time of septic shock diagnosis, NSE levels more accurately predicted the risk of death before ICU discharge than S100B. However, NSE had no better predictive value for short-term mortality than APACHE II, SAPS II and SOFA. Adding C-reactive protein (CRP) and S100B concentrations to the APACHE II score created a predictive model with 95% mortality accuracy (AUC = 0.95; 95% CI 0.85-0.99; p = 0.03). Conclusions. The assessment of acute neuronal injury plays an important role in prognostication in patients with septic shock. The concentration of S100B protein in combination with APACHE II score and concentration of CRP more accurately predicts mortality than the APACHE II alone. [ABSTRACT FROM AUTHOR]

Background. Immune dysregulation and hypoxemia are two important pathophysiological problems in patients with COVID-19 that affect peripheral blood count parameters. We hypothesized that assessment of the neutrophil–lymphocyte ratio (NLR) and red blood cell distribution width index (RDW-SD) could predict death in patients with severe and critical COVID-19. Methods. Seventy patients admitted to the intensive care unit (ICU) for COVID-19 acute respiratory failure were included in the study. RDW-SD and NLR on the day of ICU admission and peak values during the entire hospitalization were assessed. The primary endpoint was death before ICU discharge. Results. Patients who died had higher NLR on admission (20.3, IQR 15.3–30.2 vs. 11.0, IQR 6.8–16.9; p = 0.003) and higher RDW-SD (48.1 fL; IQR 43.1–50.5 vs. 43.9 fL; IQR 40.9–47.3, p = 0.01) than patients discharged from the ICU. NLR and RDW-SD values on ICU admission accurately predicted death in 76% (AUC = 0.76; 95%CI 0.65–0.86; p = 0.001; cut-off > 14.38) and 72% of cases (AUC = 0.72; 95%CI 0.60–0.82; p = 0.003; cut-off > 44.7 fL), respectively. Multivariable analysis confirmed that NLR > 14.38 on the day of ICU admission was associated with a 12-fold increased risk of death (logOR 12.43; 95%CI 1.61–96.29, p = 0.02), independent of other blood counts, clinical and demographic parameters. Conclusions. Neutrophil–lymphocyte ratio determined on the day of ICU admission may be a useful biomarker predicting death in patients with severe and critical COVID-19. [ABSTRACT FROM AUTHOR]