Diagnostic and prognostic potential of presepsin in Emergency Department patients presenting with systemic inflammatory response syndrome

Navigating the Modern Landscape of Sepsis: Advances in Diagnosis and Treatment

Sepsis poses a significant threat to human health due to its high morbidity and mortality rates worldwide. Traditional diagnostic methods for identifying sepsis or its causative organisms are time-consuming and contribute to a high mortality rate. Biomarkers have been developed to overcome these limitations and are currently used for sepsis diagnosis, prognosis prediction, and treatment response assessment. Over the past few decades, more than 250 biomarkers have been identified, a few of which have been used in clinical decision-making. Consistent with the limitations of diagnosing sepsis, there is currently no specific treatment for sepsis. Currently, the general treatment for sepsis is conservative and includes timely antibiotic use and hemodynamic support. When planning sepsis-specific treatment, it is important to select the most suitable patient, considering the heterogeneous nature of sepsis. This comprehensive review summarizes current and evolving biomarkers and therapeutic approaches for sepsis.

No Significant Differences in Presepsin Levels According to the Causative Microorganism of Bloodstream Infection

BACKGROUND

CD14 recognizes lipopolysaccharide (LPS), and presepsin is a fragment of soluble CD14. Still, it remains uncertain whether Gram-negative bacteria induce higher presepsin levels than other microorganisms. To address this question, this study aimed to analyze presepsin levels based on microorganisms isolated in blood cultures.

MATERIALS AND METHODS

This study was a single-center study comprising suspected sepsis patients enrolled from July 2020 to September 2020. A total of 95 patients with a single isolate confirmed in blood culture were analyzed to evaluate if there are any differences in presepsin levels according to microbial isolates. Plasma presepsin level was measured using PATHFAST assay kit and analyzer (LSI Medience Corporation, Tokyo, Japan).

RESULTS

There were 26 Gram-positive bacteremia, 65 Gram-negative bacteremia, and 3 fungemia patients with median presepsin levels of 869, 1,439, and 11,951 pg/mL, respectively. Besides, one case of algaemia demonstrated a presepsin level of 1,231 pg/mL. Our results showed no statistically significant difference in presepsin levels among patients with Gram-positive bacteremia, Gram-negative bacteremia, and fungemia. Furthermore, presepsin levels did not differ significantly among bloodstream infections caused by bacteria that were isolated from at least three different patients. In particular, Gram-positive bacteria such as Staphylococcus aureus and Enterococcus faecalis were able to induce presepsin levels comparable to those induced by Gram-negative bacteria.

CONCLUSION

We demonstrated that there were no significant differences in plasma presepsin levels according to microbial isolates in blood culture. The major cause of the variability in presepsin levels during bloodstream infection might be the immunogenicity of each microorganism rather than the presence of LPS in the microorganism.

Performance of presepsin and procalcitonin predicting culture-proven bacterial infection and 28-day mortality: A cross sectional study

Presepsin is a highly specific biomarker for diagnosing bacterial infections, but its clinical usefulness is not well validated. A retrospective cross-sectional study was conducted. Among the patients suspected bacterial infection or fulfilled the criteria of systemic inflammatory response syndrome (SIRS) and patients who underwent blood culture, presepsin, procalcitonin (PCT), and C-reactive protein (CRP) at the same time were included. Receiver operating characteristic (ROC) curve analysis and logistic regression were used to compare performance of three biomarkers. A total of 757 patients were enrolled, including 256 patients (33.8%) with culture-proven bacterial infection and 109 patients (14.4%) with bacteremia. The 28-day mortality rate was 8.6%. ROC curve analysis revealed that the area under the curve (AUC) of PCT was higher than that of presepsin for both culture-proven bacterial infection (0.665 and 0.596, respectively; p = 0.003) and bacteremia (0.791 and 0.685; p < 0.001). In contrast, AUC of PCT for 28-day mortality was slower than presepsin (0.593 and 0.720; p = 0.002). In multivariable logistic regression analysis, PCT showed the highest ORs for culture-proven bacterial infection (OR 2.23, 95% CI 1.55–3.19; p < 0.001) and for bacteremia (OR 5.18, 95% CI 3.13–8.56; p < 0.001), while presepsin showed the highest OR for 28-day mortality (OR 3.31, 95% CI 1.67–6.54; p < 0.001). CRP did not show better performance than PCT or presepsin in any of the analyses. PCT showed the best performance predicting culture-proven bacterial infection and bacteremia, while presepsin would rather be useful as a prognostic marker.

Soluble CD14 Subtype-A New Biomarker in Predicting the Outcome of Critically Ill Septic Patients

BACKGROUND

We evaluated the role of presepsin (soluble CD14 subtype, sCD14-ST) in predicting the outcome of critically ill septic patients in parallel with procalcitonin and C-reactive protein.

METHODS

This study was an observational, prospective study that enrolled 58 surgical and medical intensive care unit patients with suspected sepsis. All studied subjects were retrospectively stratified into survivors and nonsurvivors based on 28 days survival and according to microbiological results in blood culture positive and negative groups. Plasma and serum samples from each patient were collected at admission (T-0), after 24-48 hours (T-1) and after 7 days (T-2). Statistics were obtained using Student׳s t test and ANOVA, as well as Bonferroni post hoc test. Receiver-operating characteristic (ROC) analysis was also performed.

RESULTS

Presepsin levels were significantly higher at T-0 (P = 0.0007), at T-1 (P < 0.0001) and at T-2 (P < 0.0001) in nonsurvivors versus survivors at the same time point. Presepsin concentrations were significantly increased at T-0 (P = 0.0073), T1 (P = 0.0111) and T2 (P = 0.0167) in patients with positive blood cultures in comparison to patients with negative cultures at the same time. For all time periods evaluated, presepsin data from nonsurviving and surviving individuals were subjected to ROC analysis that demonstrated an excellent accuracy and significant area under the ROC curve (P < 0.0001). Results of multivariate analysis indicated presepsin as a predictive independent variable among prognosis markers at T-0 (P = 0.016).

CONCLUSIONS

Presepsin revealed an optimal prognostic performance in patients with severe sepsis and provided interesting diagnostic value. Prediction of outcome in critically ill patients is crucial to optimize management decisions and level of treatment.

suPAR remains uninfluenced by surgery in septic patients with bloodstream infection

Surgical trauma induces activation of the immune system and may cause an increase of inflammatory biomarkers tested postoperatively in septic patients treated for bloodstream infection. The aim of this study was to determine the impact of surgical interventions on the novel sepsis biomarker soluble urokinase plasminogen activator receptor (suPAR) and to compare results with those of routine laboratory parameters CRP, PCT, and IL-6 in patients with culture-proven bloodstream infection. Forty-six adult patients with positive blood culture undergoing minor or major surgical intervention were investigated, 12 blood culture positive patients served as control group. Blood was collected 24 hours before and after surgical intervention for determination of the sepsis biomarkers suPAR, CRP, PCT, and IL-6. Within the surgical study cohort, a non-significant increase of suPAR, CRP, and PCT was observed postoperatively (p 0.642; p 0.773; p 0.087). In contrast, a slight decrease of IL-6 (p 0.599) was observed. A significant correlation was calculated for the pre- and postoperative difference of CRP (p 0.028) and PCT (p 0.008) and type of surgical intervention received: after minor surgical intervention only PCT decreased significantly (p<0.001), while after major surgical interventions no significant differences were observed for all biomarkers evaluated. In the control group, a significant decrease of CRP (p 0.005) and PCT (p 0.005) was observed. In patients treated adequately for bloodstream infections, postoperative suPAR levels remained uninfluenced of the surgical trauma and might therefore be a reliable parameter for postoperative infectious monitoring. After minor surgical intervention, PCT seems to be the most reliable parameter.

Diagnostic accuracy of presepsin (sCD14-ST) and procalcitonin for prediction of bacteraemia and bacterial DNAaemia in patients with suspected sepsis

Early diagnosis and prompt targeted therapy are essential for septic patients' outcome. Procalcitonin (PCT) has been shown to predict bacteraemia and bacterial DNAaemia. Presepsin, the circulating soluble form of CD14 subtype, increases in response to bacterial infections, and is considered a new, emerging, early marker for sepsis. We evaluated the diagnostic accuracy of presepsin in predicting bacteraemia and bacterial DNAaemia in 92 patients with suspected sepsis, and we compared it with that of PCT and C-reactive protein (CRP). Presepsin median values were significantly higher in bacteraemic vs non-bacteraemic patients [1290 pg ml-1, interquartile range (IQR) 1005-2041 vs 659 pg ml-1, IQR 381-979; P<0.001] and in patients with vs patients without bacterial DNAaemia (1297 pg ml-1, IQR 1001-2046 vs 665 pg ml-1, IQR 381-940; P<0.001). Receiver operating characteristics analysis showed an area under the curve (AUC) for presepsin of 0.788 [95 % confidence interval (CI): 0.687-0.889; P<0.001] in predicting bacteraemia and of 0.777 (95 % CI: 0.676-0.878; P<0.001) in predicting bacterial DNAaemia, lower, but not significantly different, than those of PCT (0.876, P=0.12 and 0.880, P=0.07, respectively). Both biomarkers performed significantly better than CRP, which had an AUC for bacteraemia of 0.602 and for DNAaemia of 0.632 (all P values <0.05). In conclusion, in patients with suspected sepsis, presepsin and PCT showed a good diagnostic accuracy in predicting both bacteraemia and bacterial DNAaemia, superior to CRP.

The accuracy of presepsin for the diagnosis of sepsis from SIRS: a systematic review and meta-analysis

Background

Sepsis is a common condition that has a high mortality and morbidity that need prompt diagnosis and treatment. Biomarkers like Soluble CD14 subtype (sCD14-ST, presepsin) may be useful in identifying patients with sepsis and its diagnostic superiority has been confirmed by several preliminary studies. The aim of this study was systematically and quantitatively to evaluate the value of presepsin for the diagnosis of sepsis through the method of meta-analysis.

Methods

Four major databases, including MEDLINE, EMBASE, ISI Web of Knowledge, and the Cochrane Library were systematically searched from inception to March 2015. Two investigators conducted the processes of literature search, study selection, data extraction, and quality evaluation independently. And the original data were extracted from all eligible individual studies to construct two-by-two tables.

Results

A total of eight studies comprising 1757 patients were included in this meta-analysis. The pooled sensitivity, specificity, and diagnostic odds ratio were 0.77 (95 % confidence interval [CI]: 0.75–0.80), 0.73 (95 % CI 0.69–0.77), and 14.25 (95 % CI 8.66–23.42), respectively. The summary receiver operating characteristic curve (SROC) area under the curve (AUC) was 0.8598. The subgroup analysis based on excluding the outliers showed that the pooled sensitivity and specificity were 0.85 (95 % CI 0.81–0.89) and 0.65 (95 % CI 0.59–0.70), respectively. The AUC was 0.8213 with no significant heterogeneity.

Conclusions

Presepsin has moderate diagnostic capacity for the detection of sepsis. Further research of presepsin is needed before widespread use in emergency department. And presepsin in combination with other laboratory biomarkers in diagnosing sepsis may be the focus of future studies.

Soluble CD14 subtype (sCD14-ST) presepsin in premature and full term critically ill newborns with sepsis and SIRS

Neonatal sepsis still remains a major cause of morbidity and mortality in neonatal intensive care unit (NICU). Recently, soluble CD14 subtype (sDC14-ST) also named presepsin, was proposed as an effective biomarker for diagnosing, monitoring, and assessing the risk of neonatal sepsis and septic shock. The aim of this study was to investigate the diagnostic accuracy of sCD14-ST presepsin in diagnosing neonatal bacterial sepsis and in discriminating non-bacterial systemic inflammatory response syndrome (SIRS) from bacterial sepsis. This study involved 65 critically ill full-term and preterm newborns admitted to the neonatal intensive care unit (NICU), divided into three groups: 25 newborns with bacterial neonatal sepsis (group A); 15 newborns with a diagnosis of non-bacterial SIRS and with no localizing source of bacterial infection (group B); and 25 babies with no clinical or bacteriological signs of systemic or local infection receiving routine NICU care, most of them treated with phototherapy for neonatal jaundice (group C). A total of 102 whole blood samples were collected, 40 in group A, 30 in group B and 32 in group C. In 10 babies included in group A, sCD14-ST presepsin was also measured in an additional second blood sample collected 3 days after the start of antibiotic treatment. sCD14-ST presepsin was measured by a commercially available chemiluminescent enzyme immunoassay (CLEIA) optimized on an automated immunoassay analyzer. Statistical analysis was performed by means of MedCalc® statistical package; receiver operating characteristic (ROC) analysis was computed, and the area under the ROC curve (AUC) was used to evaluate the ability of sCD14-ST to discriminate neonatal bacterial sepsis from non-bacterial SIRS. Blood sCD14-ST presepsin levels were found significantly higher in bacterial sepsis when compared with controls (p<0.0001); similarly, they were higher in non-bacterial SIRS when compared with controls (p<0.0001). However, no statistically significant difference was found between bacterial sepsis and non-bacterial SIRS (p=0.730). In our population, CRP and sCD14-ST did not correlate with each other. ROC analysis revealed that sCD14-ST presepsin has an area under the curve (AUC) of 0.995 (95% C.I.: 0.941-1.00) greater than that of CRP (0.827; 95% C.I.: 0.72-0.906). Similarly, in the group of babies with non-infectious SIRS, sCD14-ST AUC was greater than CRP AUC (0.979; 95% C.I.: 0.906-0.999 versus 0.771; 95% C.I.: 0.647-0.868). In controls, preliminary reference intervals for sCD14-ST ranged 223.4-599.7 ng/L, being significantly different from those previously published elsewhere. In conclusion, sCD14-ST presepsin could be introduced in clinical practice as a diagnostic tool for improving the management of neonatal sepsis and non-bacterial SIRS.

Presepsin (sCD14-ST), an innate immune response marker in sepsis

Innate immunity is the first barrier to fight off bacteria, and partly relies on the engagement of the membrane coreceptor CD14. A product of cleavage of CD14, the soluble subtype of CD14 (sCD14-ST) or presepsin, is released in circulation after activation of defense mechanisms. Presepsin can be detected by biochemical methods and therefore appears as an emergent biomarker of infection. Here we present the rationale for presepsin development and recent data supporting its use at bedside. Presepsin may be worthwhile for early diagnosis and prognostic assessment of patients with systemic infections. This biomarker shows high specificity, and results from experimental and clinical studies are reinforcing the proof of concept. Performances place presepsin at the level of PCT who is used as a comparator. Biomarkers of infection are futile to diagnose infection with direct access to bacteria (as urinary tract infection, meningitis), but their use can be advocated to ascertain unclear diagnosis. Future developments of presepsin will probably use clinical models with a Bayesian approach to ascertain the additional value of the biomarker at bedside.