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

Presepsin Levels in Infection-Free Subjects with Diabetes Mellitus: An Exploratory Study

Systemic inflammation has been recognized as the cause and consequence of metabolic dysregulation in diabetes mellitus (DM). Presepsin has recently emerged as a promising biomarker for the detection of bacterial infections and sepsis. There is evidence that gut dysbiosis results in the increased circulating concentrations of Gram-negative bacteria lipopolysaccharide, the linkage of presepsin, which in turn promotes insulin resistance and correlates with the risk of diabetic complications. Thus, we hypothesized that presepsin could reflect the magnitude of systemic inflammation and metabolic decompensation in patients with DM even in the absence of infection. In this cross-sectional pilot study, we included 75 infection-free individuals with well-controlled (n = 19) and uncontrolled (n = 23) type 2 diabetes (T2D), well-controlled (n = 10) and uncontrolled (n = 10) type 1 diabetes (T1D), and normoglycemic controls (n = 13). Presepsin levels were compared between the groups and potential associations with demographic, clinical, and laboratory parameters were explored. We observed that the duration of DM was associated with presepsin values (p = 0.008). When the participants were classified into the type of DM groups, the presepsin levels were found to be lower in the patients with T2D compared to those with T1D (p = 0.008). However, significance in that case was driven by the difference between the well-controlled groups. After adjusting for the effects of DM duration, presepsin was significantly lower in the well-controlled T2D group compared to the well-controlled T1D group [1.34 (2.02) vs. 2.22 (4.20) ng/mL, p = 0.01]. Furthermore, we adjusted our findings for various confounders, including age, body mass index, and waist circumference, and found that the difference in the presepsin values between the adequately controlled groups remained significant (p = 0.048). In conclusion, our findings suggest that presepsin could potentially serve as a surrogate marker of inflammation and metabolic control in people with DM.

Presepsin as a biomarker of bacterial translocation and an indicator for the prescription of probiotics in cirrhosis

BACKGROUND

The gut-liver axis and bacterial translocation are important in cirrhosis, but there is no available universal biomarker of cellular bacterial translocation, for which presepsin may be a candidate.

AIM

To evaluate the relationship of the blood presepsin levels with the state of the gut microbiota in cirrhosis in the absence of obvious infection.

METHODS

This study included 48 patients with Child-Pugh cirrhosis classes B and C and 15 healthy controls. The fecal microbiome was assessed using 16S rRNA gene sequencing. Plasma levels of presepsin were measured. A total of 22 patients received a probiotic (Saccharomyces boulardii) for 3 months.

RESULTS

Presepsin levels were higher in patients with cirrhosis than in healthy individuals [342 (91-2875) vs 120 (102-141) pg/mL; P = 0.048]. Patients with elevated presepsin levels accounted for 56.3% of all included patients. They had lower levels of serum albumin and higher levels of serum total bilirubin and overall severity of cirrhosis as assessed using the Child-Pugh scale. Patients with elevated presepsin levels had an increased abundance of the main taxa responsible for bacterial translocation, namely Bacilli and Proteobacteria (including the main class Gammaproteobacteria and the minor taxa Xanthobacteraceae and Stenotrophomonas), and a low abundance of bacteria from the family Lachnospiraceae (including the minor genus Fusicatenibacter), which produce short-chain fatty acids that have a positive effect on intestinal barrier function. The presepsin level directly correlated with the relative abundance of Bacilli, Proteobacteria, and inversely correlated with the abundance of Lachnospiraceae and Propionibacteriaceae. After 3 months of taking the probiotic, the severity of cirrhosis on the Child-Pugh scale decreased significantly only in the group with elevated presepsin levels [from 9 (8-11) to 7 (6-9); P = 0.004], while there were no significant changes in the group with normal presepsin levels [from 8 (7-8) to 7 (6-8); P = 0.123]. A high level of presepsin before the prescription of the probiotic was an independent predictor of a greater decrease in Child-Pugh scores (P = 0.046), as well as a higher level of the Child-Pugh scale (P = 0.042), but not the C-reactive protein level (P = 0.679) according to multivariate linear regression analysis.

CONCLUSION

The level of presepsin directly correlates with the abundance in the gut microbiota of the main taxa that are substrates of bacterial translocation in cirrhosis. This biomarker, in the absence of obvious infection, seems important for assessing the state of the gut-liver axis in cirrhosis and deciding on therapy targeted at the gut microbiota in this disease.

Presepsin as a prognostic biomarker in COVID-19 patients: combining clinical scoring systems and laboratory inflammatory markers for outcome prediction

BACKGROUND

There is still limited research on the prognostic value of Presepsin as a biomarker for predicting the outcome of COVID-19 patients. Additionally, research on the combined predictive value of Presepsin with clinical scoring systems and inflammation markers for disease prognosis is lacking.

METHODS

A total of 226 COVID-19 patients admitted to Beijing Youan Hospital's emergency department from May to November 2022 were screened. Demographic information, laboratory measurements, and blood samples for Presepsin levels were collected upon admission. The predictive value of Presepsin, clinical scoring systems, and inflammation markers for 28-day mortality was analyzed.

RESULTS

A total of 190 patients were analyzed, 83 (43.7%) were mild, 61 (32.1%) were moderate, and 46 (24.2%) were severe/critically ill. 23 (12.1%) patients died within 28 days. The Presepsin levels in severe/critical patients were significantly higher compared to moderate and mild patients (p < 0.001). Presepsin showed significant predictive value for 28-day mortality in COVID-19 patients, with an area under the ROC curve of 0.828 (95% CI: 0.737-0.920). Clinical scoring systems and inflammation markers also played a significant role in predicting 28-day outcomes. After Cox regression adjustment, Presepsin, qSOFA, NEWS2, PSI, CURB-65, CRP, NLR, CAR, and LCR were identified as independent predictors of 28-day mortality in COVID-19 patients (all p-values < 0.05). Combining Presepsin with clinical scoring systems and inflammation markers further enhanced the predictive value for patient prognosis.

CONCLUSION

Presepsin is a favorable indicator for the prognosis of COVID-19 patients, and its combination with clinical scoring systems and inflammation markers improved prognostic assessment.

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.

Postoperative plasma presepsin as a biomarker of postoperative infectious complications in different surgical departments: A meta-analysis and systematic review

BACKGROUND

High rates of postoperative infection persist after different surgical procedures, encompassing surgical site infections (SSIs), remote infections, sepsis, and septic shock. Our aim was to assess presepsin's diagnostic accuracy for postoperative infections in patients across surgical procedures.

METHOD

We conducted a comprehensive search in seven databases, extracting data independently. Using STATA 14.0, we calculated pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and Under the receiver operator curve and 95 ​% confidence interval (AUC, 95 ​% CI) as primary outcomes, with secondary outcomes involving sensitivity and specificity in subgroup analyses.

RESULTS

This meta-analysis of 14 studies (1891 cases) evaluated presepsin's diagnostic value for postoperative infectious complications. Results include sensitivity of 77 ​% (70-83), specificity of 81 ​% (71-88), DOR of 14 (8-26), AUC of 84 (80-87), PLR of 4 (3-6), and NLR of 0.28 (0.21-0.38). Presepsin exhibits promise as a diagnostic tool for postoperative infections.

CONCLUSION

In summary, compared to conventional markers like C-reactive protein (CRP) and procalcitonin (PCT), presepsin demonstrated superior sensitivity and specificity for detecting postoperative infectious complications across various surgical procedures.

Gut Microbiota and Biomarkers of Intestinal Barrier Damage in Cirrhosis

Gut dysbiosis and subclinical intestinal damage are common in cirrhosis. The aim of this study was to examine the association of intestinal damage biomarkers (diamine oxidase [DAO], claudin 3, and intestinal fatty acid binding protein [I-FABP; FABP2]) with the state of the gut microbiota in cirrhosis. The blood levels of DAO were inversely correlated with blood levels of claudin 3, lipopolysaccharide (LPS), presepsin, TNF-α, and the severity of cirrhosis according to Child-Pugh scores. The blood level of I-FABP was directly correlated with the blood level of claudin 3 but not with that of DAO. Patients with small intestinal bacterial overgrowth (SIBO) had lower DAO levels than patients without SIBO. There was no significant difference in claudin 3 levels and I-FABP detection rates between patients with and without SIBO. The DAO level was directly correlated with the abundance of Akkermansiaceae, Akkermansia, Allisonella, Clostridiaceae, Dialister, Lactobacillus, Muribaculaceae, Negativibacillus, Ruminococcus, Thiomicrospiraceae, Verrucomicrobiae, and Verrucomicrobiota; and it was inversely correlated with the abundance of Anaerostipes, Erysipelatoclostridium, and Vibrio. The I-FABP level was directly correlated with Anaerostipes, Bacteroidia, Bacteroidota, Bilophila, Megamonas, and Selenomonadaceae; and it was inversely correlated with the abundance of Brucella, Pseudomonadaceae, Pseudomonas, and Vibrionaceae. The claudin 3 level was directly correlated with Anaerostipes abundance and was inversely correlated with the abundance of Brucella, Coriobacteriia, Eggerthellaceae, and Lactobacillus.

Presepsin is a more useful predictor of septic AKI and ARDS for very-old sepsis patients than for young sepsis patients in ICUs: a pilot study

OBJECTIVE

Sepsis is a syndrome of life-threatening organ dysfunction. This study aimed to determine whether presepsin is a useful predictor of septic acute kidney injury (AKI), acute respiratory distress syndrome (ARDS), disseminated intravascular coagulation (DIC), and shock in very-old sepsis patients aged 75 years in intensive care units (ICUs).

RESULTS

A total of 83 adult patients diagnosed with sepsis were prospectively examined and divided into two groups: those aged 75 years and older (over 75 group) and those aged younger than 75 years (under 75 group). Presepsin values were measured after ICU admission. Inflammation-based prognostic scores were also examined. For category classification, total scores ("inflammation-presepsin scores [iPS]") were calculated. Presepsin values, inflammation-based prognostic scores, and iPS were compared between patients with septic AKI, ARDS, DIC, or shock and those without these disorders in the over 75 and under 75 groups. Areas under the curve of presepsin for predicting septic AKI and ARDS in the over 75 group were both > 0.7, which were significantly higher than those in the under 75 group. In conclusion, presepsin is a more useful predictor of septic AKI and ARDS for very-old sepsis patients (over 75 years) than for younger sepsis patients (under 75 years).

Diagnostic efficacy of serum presepsin for postoperative infectious complications: a meta-analysis

Background

Postoperative infectious complications (PICs) are major concerns. Early and accurate diagnosis is critical for timely treatment and improved outcomes. Presepsin is an emerging biomarker for bacterial infections. However, its diagnostic efficacy for PICs across surgical specialties remains unclear.

Methods

In this study, a systematic search on MEDLINE, Embase, Google Scholar, and Cochrane Library was performed on September 30, 2023, to identify studies that evaluated presepsin for diagnosing PICs. PIC is defined as the development of surgical site infection or remote infection. Pooled sensitivity, specificity, and hierarchical summary receiver operating characteristic (HSROC) curves were calculated. The primary outcome was the assessment of the efficacy of presepsin for PIC diagnosis, and the secondary outcome was the investigation of the reliability of procalcitonin or C-reactive protein (CRP) in the diagnosis of PICs.

Results

This meta-analysis included eight studies (n = 984) and revealed that the pooled sensitivity and specificity of presepsin for PIC diagnosis were 76% (95% confidence interval [CI] 68%-82%) and 83% (95% CI 75%-89%), respectively. The HSROC curve yielded an area under the curve (AUC) of 0.77 (95% CI 0.73-0.81). Analysis of six studies on procalcitonin showed a combined sensitivity of 78% and specificity of 77%, with an AUC of 0.83 derived from the HSROC. Meanwhile, data from five studies on CRP indicated pooled sensitivity of 84% and specificity of 79%, with the HSROC curve yielding an AUC of 0.89.

Conclusion

Presepsin exhibits moderate diagnostic accuracy for PIC across surgical disciplines. Based on the HSROC-derived AUC, CRP has the highest diagnostic efficacy for PICs, followed by procalcitonin and presepsin. Nonetheless, presepsin demonstrated greater specificity than the other biomarkers. Further study is warranted to validate the utility of and optimize the cutoff values for presepsin.

Systematic review registration

https://www.crd.york.ac.uk/prospero/, identifier CRD42023468358.

Variation in presepsin and thrombomodulin levels for predicting COVID-19 mortality

Coronavirus disease (COVID-19) has caused extensive mortality globally; therefore, biomarkers predicting the severity and prognosis of COVID-19 are essential. This study aimed to evaluate the application of presepsin (P-SEP) and thrombomodulin (TM), which are biomarkers of sepsis and endothelial dysfunction, respectively, in the prognosis of COVID-19. Serum P-SEP and TM levels from COVID-19 patients (n = 183) were measured. Disease severity was classified as mild, moderate I, moderate II, or severe based on hemoglobin oxygen saturation and the history of intensive care unit transfer or use of ventilation at admission. Patients in the severe group were further divided into survivors and non-survivors. P-SEP and TM levels were significantly higher in the severe group than those in the mild group, even after adjusting for creatinine values. In addition, TM levels were significantly higher in non-survivors than in survivors. Changes in the P-SEP levels at two time points with an interval of 4.1 ± 2.2 days were significantly different between the survivors and non-survivors. In conclusion, TM and continuous P-SEP measurements may be useful for predicting mortality in patients with COVID-19. Moreover, our data indicate that P-SEP and TM values after creatinine adjustment could be independent predictive markers, apart from renal function.

Toward a more precise prognostic stratification in acute decompensation of cirrhosis: The Padua model 2.0

BACKGROUND

The clinical course of acutely decompensated cirrhosis (AD) is heterogeneous. Presepsin (PSP) is a plasmatic biomarker that reflects Toll-like receptor activity and systemic inflammation. We conducted a prospective study to: (1) measure PSP in AD and (2) assess whether PSP in AD can predict the development of acute-on-chronic liver failure (ACLF).

METHODS

Patients with AD were prospectively recruited at admission and underwent determination of PSP. In study part 1, we compared PSP in AD versus controls (stable decompensated and compensated cirrhosis). In study part 2, we prospectively followed patients with AD for 1 year and evaluated predictors of ACLF.

RESULTS

One hundred and seventy three patients with AD were included (median MELD: 18; CLIF-C AD score: 54). Compared with controls, patients with AD had higher levels of PSP (674 ng/L vs. 310 ng/L vs. 157 ng/L; p < 0.001). In patients with AD, Child-Pugh C and acute kidney injury were associated with higher levels of PSP. During the follow-up, 52 patients developed ACLF (median time from recruitment: 66 days). PSP, CLIF-C AD score, and Child-Pugh stage were independently associated with ACLF. A predictive model combining these variables (Padua model 2.0) accurately identified patients at higher risk of ACLF (AUROC 0.864; 95% CI 0.780-0.947; sensitivity 82.9%, specificity 76.7%). In patients at lower risk of ACLF based on a CLIF-C AD <50, a PSP >674 ng/L could discriminate between two groups at significantly different risk of ACLF. Finally, in patients who did not develop ACLF, baseline PSP was significantly higher in those who progressed toward unstable versus stable decompensated cirrhosis.

CONCLUSION

The Padua model 2.0 can be used to identify patients with AD at high risk of ACLF. If these results are validated by external cohorts, PSP could become a new biomarker to improve risk stratification in AD.

The value of plasma presepsin as a diagnostic and prognostic biomarker for sepsis in Southern China

BACKGROUND

Presepsin is a soluble CD14 subtype that has been considered as a novel marker for patients with sepsis. This study explored the clinical value of presepsin for sepsis in Southern China, and further established models for diagnosis and prognosis of sepsis through using machine learning (ML), by combining presepsin and other laboratory parameters.

METHODS

269 subjects (105 infected patients, 164 sepsis and septic shock) and 198 healthy controls were enrolled. Laboratory parameters (hematological parameters, coagulation parameters, liver function indices, renal function indices, and inflammatory markers) were collected. Plasma presepsin was tested by chemiluminescence enzyme immunoassay. ML of DxAI™ Research platform was used to establish diagnostic and prognostic models. Sensitivity, specificity, and other performance indicators were used to evaluate the performance of each model.

RESULTS

The level of presepsin was obviously increased in sepsis and sepsis shock, compared with that of infected and healthy group (all P < 0.0001). Presepsin concentration was positively correlated with positive blood culture and 30-day mortality in sepsis and septic shock patients. Through ROC curve analysis, Hb, UREA, APTT, CRP, PCT, and presepsin were incorporated into machine learning to construct diagnosis models. Ada Boost model had the best diagnostic efficiency (AUC: 0.94 (95% CI 0.919-0.968) in the training set and AUC: 0.86 (95% CI 0.813-0.900) in validation set). Furthermore, AST, APTT, UREA, PCT, and presepsin were included in the prognosis ML models, and the Bernoulli NB model had greater predictive ability for 30-day mortality risk of sepsis (AUC: 0.706), which was higher than that of PCT (AUC: 0.617) and presepsin (AUC: 0.634) alone.

CONCLUSION

Machine-learning model based on presepsin and routinely laboratory parameters showed good performance of diagnostic and prognostic ability for sepsis patients.

Biomarkers of Neonatal Sepsis: Where We Are and Where We Are Going

Neonatal sepsis is a bacterial bloodstream infection leading to severe clinical manifestations frequently associated with death or irreversible long-term deficits. Antibiotics are the drug of choice to treat sepsis, regardless of age. In neonates, the lack of reliable criteria for a definite diagnosis and the supposition that an early antibiotic administration could reduce sepsis development in children at risk have led to a relevant antibiotic overuse for both prevention and therapy. The availability of biomarkers of neonatal sepsis that could alert the physician to an early diagnosis of neonatal sepsis could improve the short and long-term outcomes of true sepsis cases and reduce the indiscriminate and deleterious use of preventive antibiotics. The main aim of this narrative review is to summarize the main results in this regard and to detail the accuracy of currently used biomarkers for the early diagnosis of neonatal sepsis. Literature analysis showed that, despite intense research, the diagnosis of neonatal sepsis and the conduct of antibiotic therapy cannot be at present decided on the basis of a single biomarker. Given the importance of the problem and the need to reduce the abuse of antibiotics, further studies are urgently required. However, instead of looking for new biomarkers, it seems easier and more productive to test combinations of two or more of the presently available biomarkers. Moreover, studies based on omics technologies should be strongly boosted. However, while waiting for new information, the use of the clinical scores prepared by some scientific institutions could be suggested. Based on maternal risk factors and infant clinical indicators, sepsis risk can be calculated, and a significant reduction in antibiotic consumption can be obtained.

Comparison of presepsin and Mid-regional pro-adrenomedullin in the diagnosis of sepsis or septic shock: a systematic review and meta-analysis

BACKGROUND

The early diagnosis of sepsis is hampered by the lack of reliable laboratory measures. There is growing evidence that presepsin and Mid-regional pro-adrenomedullin (MR-proADM) are promising biomarkers in the diagnosis of sepsis. This study was conducted to evaluate and compare the diagnostic value of MR-proADM and presepsin in sepsis patients.

METHODS

We searched Web of Science, PubMed, Embase, China national knowledge infrastructure, and Wanfang up to 22th July, 2022, for studies evaluating the diagnosis performance of presepsin and MR-proADM in adult sepsis patients. Risk of bias was assessed using quadas-2. Pooled sensitivity and specificity were calculated using bivariate meta-analysis. Meta-regression and subgroup analysis were used to find source of heterogeneity.

RESULTS

A total of 40 studies were eventually selected for inclusion in this meta-analysis, including 33 for presepsin and seven for MR-proADM. Presepsin had a sensitivity of 0.86 (0.82-0.90), a specificity of 0.79 (0.71-0.85), and an AUC of 0.90 (0.87-0.92). The sensitivity of MR-proADM was 0.84 (0.78-0.88), specificity was 0.86 (0.79-0.91), and AUC was 0.91 (0.88-0.93). The profile of control group, population, and standard reference may be potential sources of heterogeneity.

CONCLUSIONS

This meta-analysis demonstrated that presepsin and MR-proADM exhibited high accuracy (AUC ≥ 0.90) in the diagnosis of sepsis in adults, with MR-proADM showing significantly higher accuracy than presepsin.

The role of presepsin in pediatric patients with oncological and hematological diseases experiencing febrile neutropenia

Febrile neutropenia (FN) represents one of the main complications of pediatric patients with oncological and hematological diseases. In these patients, it is crucial to identify bacterial infections. The aim of this study is to evaluate presepsin as an early biomarker of bacterial infections during FN. We compared patients with oncological and hematological diseases and a 2:1 age-matched healthy control group. In the FN group, we evaluated 4 biomarkers, namely, C reactive protein (CRP), procalcitonin (PCT), interleukin 6 (IL6) and presepsin at the onset of fever (T0) and 48 h after T0 (T1). In the control group, we only evaluated presepsin. We enrolled a total of 41 children with oncological and hematological diseases disease experiencing 50 FN episodes and 100 healthy patients in the control group. In patients with FN, we found that presepsin was significantly higher than in the control group (p < 0.001). However, in the FN group, we did not find a statistically significant difference between patients with and without bacteremia (p = 0.989 at T0, p = 0.619 at T1). Presepsin values at T1 were higher in patients experiencing an unfavorable outcome (p = 0.025). This study shows that presepsin increases in neutropenic patients, but it only revealed useful in predicting an unfavorable outcome 48 h from the onset of fever.

Can Presepsin Be Valuable in Reducing Unnecessary Antibiotic Exposure after Birth?

Background: Due to a lack of rapid, accurate diagnostic tools for early-onset neonatal sepsis (EOS) at the initial suspicion, infants are often unnecessarily given antibiotics directly after birth. We aimed to determine the diagnostic accuracy of presepsin for EOS before antibiotic initiation and to investigate whether presepsin can be used to guide clinicians’ decisions on whether to start antibiotics. Methods: In this multicenter prospective observational cohort study, all infants who started on antibiotics for EOS suspicion were consecutively included. Presepsin concentrations were determined in blood samples collected at the initial EOS suspicion (t = 0). In addition to this, samples were collected at 3, 6, 12 and 24 h after the initial EOS suspicion and from the umbilical cord directly after birth. The diagnostic accuracy of presepsin was calculated. Results: A total of 333 infants were included, of whom 169 were born preterm. We included 65 term and 15 preterm EOS cases. At the initial EOS suspicion, the area under the curve (AUC) was 0.60 (95% confidence interval (CI) 0.50–0.70) in the term-born infants compared to 0.84 (95% CI 0.73–0.95) in the preterm infants. A cut-off value of 645 pg/mL resulted in a sensitivity of 100% and a specificity of 54% in the preterm infants. The presepsin concentrations in cord blood and at other time points did not differ significantly from the concentrations at the initial EOS suspicion. Conclusions: Presepsin is a biomarker with an acceptable diagnostic accuracy for EOS (culture-proven and clinical EOS) in preterm infants and might be of value in reducing antibiotic exposure after birth when appended to current EOS guidelines. However, the small number of EOS cases prevents us from drawing firm conclusions. Further research should be performed to evaluate whether appending a presepsin-guided step to current EOS guidelines leads to a safe decrease in antibiotic overtreatment and antibiotic-related morbidity.

Research progress regarding the effect and mechanism of dietary phenolic acids for improving nonalcoholic fatty liver disease via gut microbiota

Phenolic acids (PAs), a class of small bioactive molecules widely distributed in food and mainly found as secondary plant metabolites, present significant advantages such as antioxidant activity and other health benefits. The global epidemic of nonalcoholic fatty liver disease (NAFLD) is becoming a serious public health problem. Existing studies showed that gut microbiota (GM) dysbiosis is highly associated with the occurrence and development of NAFLD. In recent years, progress has been made in the study of the relationship among PA compounds, GM, and NAFLD. PAs can regulate the composition and functions of the GM to promote human health, while GM can increase the dietary sources of PAs and improve its bioavailability. This paper discussed PAs, GM, and their interrelationship while introducing several representative dietary PA sources and examining the absorption and metabolism of PAs mediated by GM. It also summarizes the effect and mechanisms of PAs in improving and regulating NAFLD via GM and their metabolites. This helps to better evaluate the potential preventive effect of PAs on NAFLD via the regulation of GM and expands the utilization of PAs and PA-rich food resources.

Presepsin as a promising biomarker for early detection of post-operative infection in children

Background

Post-operative systemic inflammation response syndrome (SIRS) is an event that results from surgical trauma, white blood cells contact activation, and intra-surgical bacterial translocation, which is difficult to distinguish from sepsis. Presepsin is a novel biomarker that is increased since the early stages of bacterial infection and can be used to confirm the diagnosis of post-operative infectious complications. This study aimed to investigate the diagnostic performance of presepsin for post-operative infectious complications compared to other well-known biomarkers.

Method

This cross-sectional study included 100 post-operative patients admitted to Cipto Mangunkusumo National Hospital and Bunda Hospital in Jakarta, Indonesia. The objective was to identify the optimal cutoff and trend of plasma presepsin concentration on the first and third day after surgery and to compare them with other biomarkers.

Result

Plasma presepsin level was higher in the infection group compared to the non-infection group (median 806.5 pg/ml vs. 717 pg/ml and 980 pg/ml vs. 516 pg/ml on the first and third day, respectively). Presepsin levels tended to increase on the third post-operative day (median + 252 pg/ml) in children with infection. The opposite trend was observed in the non-infection group from the first to the third day (median -222.5 pg/ml). Presepsin delta, a three-day difference between the first and third post-operative day, had the best diagnostic performance compared to other biomarkers (Area Under the Curve 0.825). The optimal cutoff for presepsin delta to diagnose post-operative infection was +90.5 pg/ml.

Conclusion

Serial assessments of presepsin levels on the first and third days post-surgery and their trends are helpful diagnostic markers for clinicians to detect post-operative infectious complications in children.

Presepsin (soluble CD14 subtype) as a risk factor for the development of infectious and inflammatory complications in operated colorectal cancer patients

PURPOSE

In this pilot study the dynamic of presepsin (soluble CD14 subtype, sCD14-ST) in blood serum was assessed as a possible risk factor for the development of systemic inflammatory response syndrome (SIRS) and infectious and inflammatory complications in operated colorectal cancer patients.

METHODS

To determine sCD14-ST by enzyme-linked immunosorbent assay method venous blood was taken 1 hour before surgery and 72 hours after it (3rd day). The presence of SIRS and organ dysfunctions (ODs) according to the Sequential Organ Failure Assessment scale were assessed.

RESULTS

Thiry-six patients with colorectal cancer were enrolled in the study. sCD14-ST level before surgery was 269.8±103.1 pg/mL (interquartile range [IQR], 196.7-327.1 pg/mL). Despite the presepsin level on the 3rd day being higher (291.1±136.5 pg/mL; IQR, 181.2-395.5 pg/mL), there was no statistical significance in its dynamics (P=0.437). sCD14-ST value both before surgery and on the 3rd day after it was significantly higher in patients with bowel obstruction (P=0.038 and P=0.007). sCD14-ST level before surgery above 330 pg/mL showed an increase in the probability of complications, SIRS, and OD (odds ratio [OR], 5.5; 95% confidence interval [CI], 1.1-28.2; OR, 7.0; 95% CI, 1.3-36.7; and OR, 13.0; 95% CI, 1.1-147.8; respectively). Patients with OD had higher levels on the 3rd day after surgery (P=0.049).

CONCLUSION

sCD14-ST level in operated colorectal cancer patients was much higher if they were admitted with complication like bowel obstruction. Higher preoperative levels of sCD14-ST increase the probability of postoperative complications, SIRS, and OD. Therefore, further studies with large sample size are needed.

Prognostic Value of Plasma Presepsin and Pneumonia Severity Index in Patients with Community-Acquired Pneumonia in the Emergency Department

Background and Objectives: Presepsin (PSS) is an independent predictor for estimating disease severity and prognosis in septic patients. Few studies have reported the associations between plasma PSS and the severity and prognosis in patients with community-acquired pneumonia (CAP). We investigated whether a high plasma PSS level was associated with 30-day mortality in CAP patients. Materials and Methods: This retrospective single-center study was conducted in an emergency department. The PSS level was measured in 211 adult CAP patients admitted to the hospital and followed for up to 30 days. We recorded the pneumonia severity index (PSI) and the CURB-65 score. The primary outcome was death from any cause within 30 days. Results: The plasma PSS levels were significantly elevated in the high-risk group (PSI > 130) compared with the low- (PSI < 91) or moderate-risk groups (PSI 91−130). Forty-four patients (20.9%) died within 30 days of admission. Non-survivors had significantly higher plasma PSS levels than survivors among CAP patients: 1083 (697−1736) pg/mL vs. 385 (245−554) pg/mL (p < 0.001). The area under the curve (AUC) to predict 30-day mortality was highest for PSS (0.867), followed by procalcitonin (0.728) and lactate (0.616). The cutoff level of plasma PSS for 30-day mortality was >754 pg/mL. The combination of PSI and plasma PSS level improved the predictive ability for 30-day mortality (AUC = 0.892). Cox regression analysis showed that higher PSS levels (>754 pg/mL) and higher PSI (>126) were associated with 30-day mortality in CAP patients (hazard ratios of 19.472 and 6.375, respectively). Conclusion: Elevated plasma PSS is associated with severity and 30-day mortality in hospitalized CAP patients. Combining plasma PSS level and PSI could significantly improve the predictive ability of PSS for 30-day mortality.

Dynamic blood presepsin levels are associated with severity and outcome of acute pancreatitis: A prospective cohort study

BACKGROUND

Acute pancreatitis (AP) is an inflammatory disorder of the pancreas with an unpredictable course of illness. A major challenge of AP is the early identification of patients at high-risk for organ failure and death. However, scoring systems are complicated and time consuming, and the predictive values for the clinical course are vague.

AIM

To determine whether the dynamic changes in presepsin levels can be used to evaluate the severity of disease and outcome of AP.

METHODS

In this multicentric cohort study, 133 patients with AP were included. Clinical severity was dynamically evaluated using the 2012 revised Atlanta Classification. Blood presepsin levels were measured at days 1, 3, 5 and 7 after admission by chemiluminescent enzyme immunoassay.

RESULTS

The median concentration of presepsin increased and the clearance rate of presepsin decreased with disease severity and organ failure in AP patients. The presepsin levels on days 3, 5 and 7 were independent predictors of moderately severe and severe AP with time-specific area under the curve (AUC) values of 0.827, 0.848 and 0.867, respectively. The presepsin levels positively correlated with bedside index of severity in AP, Ranson, acute physiology and chronic health evaluation II, computed tomography severity index and Marshall scores. Presepsin levels on days 3, 5 and 7 were independent predictors of 28-d mortality of AP patients with AUC values of 0.781, 0.846 and 0.843, respectively.

CONCLUSION

Blood presepsin levels within 7 d of admission were associated with and may be useful to dynamically predict the severity of disease course and 28-d mortality in AP patients.

Distribution of Presepsin, Krebs von den Lungen 6, and Surfactant Protein A in Umbilical Cord Blood

Presepsin is an early indicator of infection, and Krebs von den Lungen 6 (KL-6) and Surfactant Protein A (SP-A) are related to the pathogenesis of pulmonary infection and fibrosis. This study aimed to establish reference intervals (RIs) of presepsin, KL-6, and SP-A levels and to evaluate the possible influence of neonatal and maternal factors on presepsin, KL-6, and SP-A levels in umbilical cord blood (UCB). Among a total of 613 UCB samples, the outliers were removed. The RIs for presepsin, KL-6, and SP-A levels were defined using non-parametric percentile methods according to the Clinical and Laboratory Standards Institute guidelines (EP28-A3C). These levels were analyzed according to neonatal and maternal factors: neonatal sex, gestational age (GA), birth weight (BW), Apgar score, delivery mode, the presence of premature rupture of membranes (PROM), gestational diabetes mellitus (GDM), and pre-eclampsia. Presepsin, KL-6, and SP-A levels showed non-parametric distributions and left-skewed histograms. The RIs of presepsin, KL-6, and SP-A levels were 64.9–428.3 pg/mL, 43.0–172.0 U/mL, and 2.1–36.1 ng/mL, respectively. Presepsin, KL-6, and SP-A levels did not show significant differences according to sex, GA, BW, Apgar score, delivery mode, PROM, GDM, and pre-eclampsia. The median level and 97.5th centile RI of KL-6 showed a slight increase with increased GA. We established RIs for presepsin, KL-6, and SP-A levels in large-scaled UCB samples. Further investigation would be needed to determine the clinical significance.

Presepsin for the Diagnosis of Neonatal Early-Onset Sepsis: A Systematic Review and Meta-analysis

Importance

Neonatal early-onset sepsis (EOS) is a severe disease, particularly in preterm infants. Timely diagnosis can be challenging owing to unspecific presentation and questionable performance of the common markers of infection. Presepsin was recently proven to be a promising biomarker for the diagnosis of EOS.

Objective

To assess presepsin accuracy for the diagnosis of EOS.

Data Sources

PubMed Medline, EMBASE, Web of Science, and Google Scholar. No publication date restrictions were applied. The literature search was limited to the English language. Articles were checked for duplication.

Study Selection

Inclusion criteria were studies that (1) included term or preterm newborns (defined as newborns with gestational age ≥37 weeks or <37 weeks, respectively); (2) included a diagnosis of EOS, defined as culture-proven sepsis for primary analysis and as either clinical or culture-proven sepsis for secondary analysis; and (3) assessed presepsin values during the initial workup for suspected EOS. Exclusion criteria were studies that (1) did not include EOS cases; (2) lacked data on presepsin sensitivity and/or specificity; and (3) were case reports, commentaries, or reviews. Two independent reviewers performed the study selection.

Data Extraction and Synthesis

Two independent reviewers performed data extraction and quality assessment. Quality assessment was performed using the Quality Assessment for Studies of Diagnostic Accuracy 2 tool, and data were reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Data were pooled using a random-effects model.

Main Outcomes and Measures

The outcomes of interest for both the primary and secondary analyses were presepsin sensitivity, specificity, and diagnostic odds ratio for the diagnosis of EOS.

Results

A total of 12 studies of 245 (4.9%) met inclusion criteria for the primary analysis. Twenty-three studies of 245 (9.4%) met the inclusion criteria for the secondary analysis. In the primary analysis, among 12 studies and 828 newborns of any gestational age, pooled sensitivity and specificity were 0.93 (95% CI, 0.86-0.95) and 0.91 (95% CI, 0.85-0.95), respectively; pooled diagnostic odds ratio was 131.69 (95% CI, 54.93-310.94). Subgroup analysis showed that presepsin specificity was associated with the inclusion of only EOS or all neonatal sepsis. Presepsin accuracy was not associated with gestational age, measurement with chemiluminescence enzyme immunoassay or enzyme-linked immunosorbent assay testing, country where the study was performed, or risk of bias judgment. In the secondary analysis, among 23 studies and 1866 newborns, accuracy was significantly associated with only test type.

Conclusions and Relevance

Results of this systematic review and meta-analysis suggest that presepsin was an accurate biomarker of EOS. Clinical trials are warranted to assess its usefulness and safety to reduce early antibiotic exposure, particularly in preterm newborns.

Performance evaluation of presepsin using a Sysmex HISCL ‐5000 analyzer and determination of reference interval

Background

Analytical evaluation of newly developed presepsin by a Sysmex HISCL‐5000 (Sysmex, Japan) automated immune analyzer was performed.

Methods

For evaluation, sepsis patient samples were collected before treatment in an emergency department. Precision, linearity, limit of blank/limit of detection, method comparisons, and reference intervals were evaluated. Method comparisons were performed using a PATHFAST immune analyzer (LSI Medience Corporation, Japan).

Results

Precision using a 20x2x2 protocol for low (306 pg/mL) and high (1031 pg/mL) levels resulted in within‐laboratory standard deviation (95% confidence interval [CI]) and coefficient of variation (CV) %, which were as follows: 15.3 (13.1–18.7), 5.5% and 47.7, (40.5–58.1), 6.4%, respectively. Linearity using patient samples and calibrators were measured from 201 to 16,177 and 188 to 30,000 pg/mL, respectively. The regression equation was y = −23.2 + 1.008x (SE = 162.4) for low levels and y = 779.9 + 1.006x (SE = 668) for high levels. Method comparison by Passing–Bablock analysis was as follows: y = −209.77 + 1.047x (S_yx = 335.3). The correlation coefficient (95% CI) was 0.869 (0.772–0.927) with statistical significance (p < 0.001). Reference intervals from 120 normal healthy subjects showed that 300 pg/mL was the cut off. Presepsin tended to show a higher value at higher ages and in males. Presepsin showed correlation with some parameters, and the correlation coefficient (p value) were as follows: hematocrit, 0.198 (0.03); eGFR (CKD‐EPI), −0.240 (0.0129); MDRD‐eGFR, −0.194 (0.048), respectively.

Conclusion

Presepsin measurement by HISCL‐5000 showed reliable performance. Further clinical studies are required for the diagnosis and prognosis of sepsis.

Plasma presepsin level predicts acute kidney injury in patients with sepsis in the emergency department

Acute kidney injury (AKI) is a common complication in patients with sepsis. We evaluated the potential prognostic value of plasma presepsin to predict AKI in patients with sepsis in the emergency department. A total of 193 patients diagnosed with sepsis based on the Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3) were included in this observational study. AKI was defined according to the Kidney Disease Improving Global Outcomes clinical practice guideline. Plasma presepsin levels were measured on admission to the emergency department. We compared plasma presepsin levels between patients who did and those who did not develop AKI. AKI occurred in 100 (51.8%) patients. The median plasma presepsin level was significantly higher in patients with AKI than in those without AKI (1061 pg/mL vs 495 pg/mL, P <.001). Plasma presepsin levels were significantly increased in patients with AKI stage 3 compared with those with AKI stages 1 and 2 (P =.001). The area under the curve of presepsin for predicting AKI was 0.793 (95% confidence interval: 0.729-0.848). The optimal presepsin cutoff value for predicting AKI was >572 pg/mL, with a sensitivity of 77.0% and specificity of 81.7%. Plasma presepsin level is a valuable biomarker for the prediction of AKI in patients with sepsis in the emergency department.

Usefulness of monocyte distribution width and presepsin for early assessment of disease severity in COVID-19 patients

Early predictors of severe coronavirus disease 2019 (COVID-19) would identify patients requiring intensive care. Recently, the monocyte distribution width (MDW) and presepsin level have been used for the early diagnosis of sepsis. Here, we assessed the utility of MDW and presepsin for the early assessment of COVID-19 severity. Eighty-seven inpatients with confirmed COVID-19 were enrolled and divided into 3 groups by the type of respiratory support: (1) mechanical ventilation or high-flow nasal cannula oxygen therapy (MVHF-OT), (2) conventional oxygen therapy, and (3) no oxygen therapy. We measured the complete blood count; MDW; erythrocyte sedimentation rate; and the levels of presepsin, C-reactive protein, procalcitonin, lactate dehydrogenase, ferritin, Krebs von den Lungen-6 (KL-6), and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) neutralizing antibody. Thirteen (14.9%) patients on MVHF-OT exhibited a significantly higher mortality and a longer hospital stay than did the others. The MDW and presepsin levels were significantly elevated on admission, and correlated with COVID-19 severity (both P < .001). Notably, only the MDW correlated significantly with symptoms in the no oxygen therapy group (P < .012). In the first week after admission, the MDW fell and no longer differed among the groups. The KL-6 level did not differ by disease severity at any time. Neutralizing antibodies were detected in 74 patients (91.4%) and the level of neutralization correlated significantly with COVID-19 severity (P < .001). The MDW and presepsin are useful indicators for early assessment of disease severity in COVID-19 patients.

Biomarkers of sepsis in pigs, horses and cattle: from acute phase proteins to procalcitonin

Sepsis is a complex clinical syndrome triggered by an inflammatory host response to an infection. It is usually complicated to detect and diagnose, and has severe consequences in human and veterinary health, especially when treatment is not started early. Therefore, efforts to detect sepsis accurately are needed. In addition, its proper diagnosis could reduce the misuse of antibiotics, which is essential fighting against antimicrobial resistance. This case is a particular issue in farm animals, as antibiotics have been traditionally given massively, but now they are becoming increasingly restricted. When sepsis is suspected in animals, the most frequently used biomarkers are acute phase proteins such as C-reactive protein, serum amyloid A and haptoglobin, but their concentrations can increase in other inflammatory conditions. In human patients, the most promising biomarkers to detect sepsis are currently procalcitonin and presepsin, and there is a wide range of other biomarkers under study. However, there is little information on the application of these biomarkers in veterinary species. This review aims to describe the general concepts of sepsis and the current knowledge about the biomarkers of sepsis in pigs, horses, and cattle and to discuss possible advances in the field.

Presepsin and platelet to lymphocyte ratio predict the progression of septic subclinical acute kidney injury to septic acute kidney injury: a pilot study

OBJECTIVE

This study aimed to determine whether presepsin and inflammation-based prognostic scores can predict the progression of septic subclinical acute kidney injury (AKI) to septic AKI among intensive care unit (ICU) patients.

RESULTS

Presepsin values were measured immediately after ICU admission (baseline) and on Days 2, 3, and 5 after ICU admission. Glasgow Prognostic Score, neutrophil to lymphocyte ratio, platelet to lymphocyte ratio (PLR), Prognostic Index, and Prognostic Nutritional Index were measured at baseline. Presepsin values and these indices were compared between septic AKI and septic subclinical AKI patients. There were 38 septic AKI patients and 21 septic subclinical AKI patients. Receiver operating characteristic curve analyses revealed the following cut-off values for AKI (relative to subclinical AKI): 708.0 (pg/ml) for presepsin on Day 1 (AUC, 0.69; sensitivity, 82%; specificity, 52%), 1283.0 (pg/ml) for presepsin on Day 2 (AUC, 0.69; sensitivity, 55%; specificity, 80%), and 368.66 for PLR (AUC, 0.67; sensitivity, 71%; specificity, 62%). Multivariate logistic regression analyses revealed PLR to be a predictor of septic subclinical AKI (odds ratio, 1.0023; 95% confidence interval, 1.0000-1.0046; p = 0.046). Presepsin and PLR predicted the progression of septic subclinical AKI to septic AKI and the prognosis of subclinical septic AKI patients.

Diagnostic value of presepsin in odontogenic infection: a retrospective study

BACKGROUND

Most head and neck infections originate from odontogenic causes; therefore, it is important to determine the severity of odontogenic infections. Since severe infection can cause sepsis, a systemic examination should be performed when evaluating a patient with odontogenic infection. C-reactive protein (CRP), white blood cell count (WBC), procalcitonin (PCT), and presepsin (PSEP) can be used to evaluate the severity of inflammatory status and sepsis in patients in the early stages of visiting the emergency room. Moreover, sepsis can be diagnosed based on the systemic inflammatory response syndrome (SIRS) classification. In relation to PSEP, significant study results on sepsis have been reported in other organ infections. However, there has been no progress in odontogenic infection; therefore, this study aimed to determine the diagnostic value of sepsis derived from odontogenic infection.

METHODS

This study was conducted from March 2021 to October 2021 on 43 patients admitted to the Department of Oral and Maxillofacial Surgery, Dankook University Hospital, in the emergency room for odontogenic infection. All patients underwent vital sign assessment and diagnostic tests (CRP, WBC, PCT, PSEP) in the emergency room. Sepsis was classified according to the SIRS criteria, and CRP, WBC, PCT, and PSEP levels were measured. The Statistical Package for the Social Sciences was used for statistical analyses.

RESULTS

The results of this study showed a moderately positive correlation between CRP and PCT, CRP and PSEP, and CT and PSEP levels. In addition, PCT and PSEP levels showed a positive correlation with sepsis. The odds ratios of sepsis and PCT and sepsis and PSEP were statistically significant. The optimal cut-off values obtained through the receiver operating characteristic curve were 0.24 and 671.5 for PCT and PSEP, respectively. Finally, there were positive correlations between CRP level and length of stay, WBC and Flynn scores, PCT level and Flynn scores, PCT level and length of stay, and PSEP level and length of stay.

CONCLUSION

WBC and CRP and PCT levels have been used in the past to determine the severity of infection and sepsis in patients with odontogenic infection, but PSEP was also found to have diagnostic value in this study. According to this study, a PSEP level of 671.5 pg/ml or higher for odontogenic infection can be considered an abnormal level.

Predictive Role of Changes in Presepsin and Early Sepsis in ICU Patients After Abdominal Surgery

INTRODUCTION

It is difficult to identify early sepsis after surgery due to postoperative inflammatory reactions. Presepsin, a glycoprotein expressed on the surface of innate immune cells, is produced during bacterial phagocytosis, and its level increases in the bloodstream of sepsis patients. We aimed to measure the differences between the diagnostic ability of presepsin and other biomarkers to identify postoperative sepsis and septic shock in acute period after major abdominal surgery.

METHODS

From March 2020 to March 2021, patients who underwent surgery due to intra-abdominal infection were enrolled. Level of presepsin and procalcitonin, and white blood cell counts were prospectively measured every morning for 3 d from intensive care unit admission after surgery (from T0 to T3). Diagnostic values of inflammatory markers were compared to predict early development of sepsis or septic shock within 7 d after surgery. Cut-off value of significant risk factor associated with postoperative sepsis or septic shock were evaluated.

RESULTS

Among 298 patients, postoperative sepsis and septic shock occurred in 91 and 38 patients, respectively. For prediction of early postoperative sepsis or septic shock, presepsin and procalcitonin had comparable diagnostic abilities. In multivariate analysis, presepsin > 406.5 pg/mL at T0 (Odds Ratio [OR]:4.055, P = 0.047), presepsin > 1216 pg/mL at T2 (OR:40.030, P = 0.005) and procalcitonin > 1.685 ng/mL at T2 (OR: 5.229, P = 0.008) were significant factors for predicting the occurrence of early postoperative septic shock.

CONCLUSIONS

Diagnostic accuracy of presepsin for sepsis or septic shock was feasible in acute postoperative period. It would be useful to monitor newly developed sepsis from normal inflammatory response, especially in patients who underwent surgical operation for the elimination of intra-abdominal infection.

Utility of P-SEP, sTREM-1 and suPAR as Novel Sepsis Biomarkers in SARS-CoV-2 Infection

The coronavirus disease 2019 is a highly contagious viral infection caused by SARS-CoV-2 virus, member of coronaviridae family. It causes life threatening complications due to complexity and rapid onset course of the disease. Early identification of high-risk patients who require close monitoring and aggressive treatment remains challengeable till date. Novel biomarkers which help to identify high risk patients at the early stage is high priority. Objective of this review to find utility of P-SEP, sTREM-1 and suPAR for diagnosis, risk stratification and prognosis of SARS-CoV-2 infected cases. Soluble receptors like, P-SEP, sTREM-1 and suPAR have been involved in immune regulation in SARS-CoV-2 infection and elevate more in severe cases. A comprehensive research of databases like PubMed, EMBASE, CNKI and Web of Science was performed for relevant studies. A total of nine out of fifteen research literature in initial screening were included for this review. Interestingly all studies have reported high levels of P-SEP, sTREM-1 and suPAR in SARS-CoV-2 infected cases and the biomarkers positively correlated with severity of infection. This implies that P-SEP, sTREM-1 and suPAR can be implemented as surrogate marker in blood profile for early diagnosis, risk stratification and prognosis in SARS-CoV-2 for better management in Indian population at the current situation.

Diagnostic levels of sepsis biomarkers in children with oncological diseases

The data on the diagnostic levels of sepsis markers in blood plasma in 117 patients with oncological diseases at the age from 1 to 18 years are presented. The patients were divided into 4 groups depending on the outcome of the clinical course of the inflammatory process or infectious complications: group 1 - patients with no complications of anticancer treatment (n = 13/11.1%), group 2 - the presence of a systemic inflammatory response in patients (n = 64/54.7%), group 3 - patients with sepsis (n = 27/23.1%), group 4 - patients with septic shock (n = 13/11.1%). The threshold level of presepsin between groups 1 and 2 was 202 pg/ml, 371 pg/ml between groups 1 and 3, 604 pg/ml between groups 2 and 3 and 1500 pg/ml between groups 3 and 4. For procalcitonin, the threshold level between groups 1and 2 was 0.23 ng/ml, 0.48 ng/ml between groups 1 and 3, 0.51 ng/ml between groups 2 and 3 and 3.9 ng/ml between groups 3 and 4. The threshold value of C-reactive protein in patients with solid tumors was 12.6 g/l between groups 1 and 2. In patients with oncohematological diseases, the threshold level of C-reactive protein was 43.4 g / L between groups 2 and 3, 77.1 g / L between groups 2 and 4. According to the ROC analysis, presepsin was superior to procalcitonin and C-reactive protein in the diagnosis of septic complications.

The Diagnostic Value of Presepsin in Acute Appendicitis and Reference Ranges for Healthy Children

OBJECTIVE

This study aimed to investigate the diagnostic value of presepsin, a new inflammatory marker for paediatric appendicitis, and to determine a reference range of presepsin for children.

METHODS

This single-center prospective study was conducted in our paediatric emergency department between 1 February 2021 and 1 July 2021. Patients aged 0-18 years diagnosed with acute appendicitis, which was pathologically confirmed, and healthy volunteers in the same age group were included in the study. Serum presepsin levels were analysed using an enzyme-linked immunosorbent assay reader. In addition to presepsin, other acute-phase reactants, paediatric appendicitis scores and imaging methods were evaluated.

RESULTS

There were 94 patients in the acute appendicitis group and 102 healthy volunteers in the control group. Median values were compared between the two groups, and no statistically significant differences were found (p = 0.544). In addition, no statistically signivficant differences in presepsin levels were found between the acute and perforated appendicitis groups (p = 0.344). The median (IQ1-IQ3) reference range for presepsin in healthy children was 0.9950 (0.7575-1.610) ng/mL.

CONCLUSION

Presepsin is not a suitable marker for the diagnosis of acute appendicitis. We observed that serum presepsin levels were not elevated in paediatric appendicitis, which is a local infection, in contrast to previous studies.

Skeletal Muscle in Hypoxia and Inflammation: Insights on the COVID-19 Pandemic

SARS-CoV-2 infection is often associated with severe inflammation, oxidative stress, hypoxia and impaired physical activity. These factors all together contribute to muscle wasting and fatigue. In addition, there is evidence of a direct SARS-CoV-2 viral infiltration into skeletal muscle. Aging is often characterized by sarcopenia or sarcopenic obesity These conditions are risk factors for severe acute COVID-19 and long-COVID-19 syndrome. From these observations we may predict a strong association between COVID-19 and decreased muscle mass and functions. While the relationship between physical inactivity, chronic inflammation, oxidative stress and muscle dysfunction is well-known, the effects on muscle mass of COVID-19-related hypoxemia are inadequately investigated. The aim of this review is to highlight metabolic, immunity-related and redox biomarkers potentially affected by reduced oxygen availability and/or muscle fatigue in order to shed light on the negative impact of COVID-19 on muscle mass and function. Possible countermeasures are also reviewed.

Neutrophil to Lymphocyte Ratio (NLR)—A Useful Tool for the Prognosis of Sepsis in the ICU

Sepsis is a life-threatening medical emergency induced by the body′s extreme response to an infection. Despite well-defined and constantly updated criteria for diagnosing sepsis, it is still underdiagnosed worldwide. Among various markers studied over time, the neutrophil to lymphocyte ratio (NLR) recently emerged as a good marker to predict sepsis severity. Our study was a single-center prospective observational study performed in our ICU and included 114 patients admitted for sepsis or septic shock. Neutrophil to lymphocyte ratio (NLR) is easy to perform, CBC being one of the standard blood tests routinely performed upon admission for all ICU patients. We found that NLR was increased in all patients with sepsis and significantly raised in those with septic shock. NLR correlates significantly with sepsis severity evaluated by the SOFA score (R = 0.65) and also with extensively studied sepsis prognosis marker presepsin (R = 0.56). Additionally, NLR showed good sensitivity (47%) and specificity (78%) with AUC = 0.631 (p < 0.05). NLR is less expensive and easier to perform compared with other specific markers and may potentially become a good alternate option for evaluation of sepsis severity. Larger studies are needed in the future to demonstrate the prognosis value of NLR.

Plasma Soluble CD14 Subtype Levels Are Associated With Clinical Outcomes in Critically Ill Subjects With Coronavirus Disease 2019

IMPORTANCE

In bacterial sepsis, CD14 and its N-terminal fragment (soluble CD14 subtype, "Presepsin") have been characterized as markers of innate immune responses and emerging evidence has linked both to coronavirus disease 2019 pathophysiology.

OBJECTIVES

Our aim was to determine the relationship between the soluble form of CD14 and soluble CD14 subtype plasma levels, coronavirus disease 2019 status, and coronavirus disease 2019-related outcomes.

DESIGN

A prospective cohort study.

SETTING

ICUs in three tertiary hospitals in Seattle, WA.

PARTICIPANTS

Two-hundred four critically ill patients under investigation for coronavirus disease 2019.

MAIN OUTCOMES AND MEASURES

We measured plasma soluble CD14 and soluble CD14 subtype levels in samples collected upon admission. We tested for associations between biomarker levels and coronavirus disease 2019 status. We stratified by coronavirus disease 2019 status and tested for associations between biomarker levels and outcomes.

RESULTS

Among 204 patients, 102 patients had coronavirus disease 2019 and 102 patients did not. In both groups, the most common ICU admission diagnosis was respiratory failure or pneumonia and proportions receiving respiratory support at admission were similar. In regression analyses adjusting for age, sex, race/ethnicity, steroid therapy, comorbidities, and severity of illness, soluble CD14 subtype was 54% lower in coronavirus disease 2019 than noncoronavirus disease 2019 patients (fold difference, 0.46; 95% CI, 0.28-0.77; p = 0.003). In contrast to soluble CD14 subtype, soluble CD14 levels did not differ between coronavirus disease 2019 and noncoronavirus disease 2019 patients. In both coronavirus disease 2019 and noncoronavirus disease 2019, in analyses adjusting for age, sex, race/ethnicity, steroid therapy, and comorbidities, higher soluble CD14 subtype levels were associated with death (coronavirus disease 2019: adjusted relative risk, 1.21; 95% CI, 1.06-1.39; p = 0.006 and noncoronavirus disease 2019: adjusted relative risk, 1.19; 95% CI, 1.03-1.38; p = 0.017), shock, and fewer ventilator-free days. In coronavirus disease 2019 only, an increase in soluble CD14 subtype was associated with severe acute kidney injury (adjusted relative risk, 1.23; 95% CI, 1.05-1.44; p = 0.013).

CONCLUSIONS

Higher plasma soluble CD14 subtype is associated with worse clinical outcomes in critically ill patients irrespective of coronavirus disease 2019 status though soluble CD14 subtype levels were lower in coronavirus disease 2019 patients than noncoronavirus disease 2019 patients. Soluble CD14 subtype levels may have prognostic utility in coronavirus disease 2019.

Presepsin as a biomarker for risk stratification for acute cholangitis in emergency department: A single-center study

BACKGROUND

Acute cholangitis is caused by bacterial infection and has high morbidity and mortality risk. The grade of cholangitis can guide clinical treatment from single antibiotic treatment to biliary drainage. With the introduction of white blood cell (WBC) count, C-reactive protein (CRP), and total bilirubin (T-Bil) into the diagnostic criteria and severity grading for acute cholangitis, the diagnosis rate and grading have significantly improved. However, early risk stratification assessments are challenging in the emergency department. Therefore, we hope to find an ideal predictive biomarker for cholangitis grade. Presepsin is a promising biomarker for the early diagnosis, severity, and prognosis of acute bacterial infections.

AIM

To assess the grading value of presepsin in patients with acute cholangitis.

METHODS

This clinical study was conducted at the Beijing Friendship Hospital, a 2000-bed teaching hospital with approximately 200000 emergency admissions per year. In this prospective observational study, 336 patients with acute cholangitis meeting the Tokyo Guidelines 2018 diagnostic criteria in the emergency department from May 2019 to December 2020 were analyzed. WBC count, CRP, procalcitonin (PCT), presepsin, T-Bil, and blood culture results were collected. The values were compared using the Pearson χ² test, Fisher’s exact test, or Mann-Whitney U test. The area under the receiver operating characteristic curve (AUC) of the value was examined using the Delong test. The correlations among the key research indicators were determined using Pearson correlation.

RESULTS

In total, 336 patients were examined, which included 107, 106, and 123 patients classified as having mild, moderate, and severe cholangitis, respectively. WBC count, CRP, PCT, presepsin, T-Bil, direct bilirubin, and sequential organ failure assessment scores of moderate and severe cholangitis patients were higher than those of mild cholangitis patients (P = 0.000). The AUC of presepsin in predicting moderate acute cholangitis was 0.728, which was higher than that of CRP (0.631, P = 0.043) and PCT (0.585, P = 0.002), and same as that of WBC count (0.746, P = 0.713) and T-Bil (0.686, P = 0.361). The AUC of presepsin in predicting severe acute cholangitis was 0.715, which was higher than that of WBC count (0.571, P = 0.008), CRP (0.590, P = 0.009), PCT (0.618, P = 0.024), and T-Bil (0.559, P = 0.006). The presepsin levels in the positive blood culture group were higher (2830.8pg/mLvs1987.8pg/mL, P = 0.000), and the AUC of presepsin (0.688) proved that it was a good biomarker for predicting positive bacterial culture.

CONCLUSION

Presepsin can predict positive blood culture in patients with acute cholangitis. It is superior to WBC count, CRP, PCT, and T-Bil for the risk stratification of acute cholangitis.

The Emerging Role of Presepsin (P-SEP) in the Diagnosis of Sepsis in the Critically Ill Infant: A Literature Review

Sepsis causes high rates of morbidity and mortality in NICUs. The estimated incidence varies between 5 and 170 per 1000 births, depending on the social context. In very low birth-weight neonates, the level of mortality increases with the duration of hospitalization, reaching 36% among infants aged 8-14 days and 52% among infants aged 15-28 days. Early diagnosis is the only tool to improve the poor prognosis of neonatal sepsis. Blood culture, the gold standard for diagnosis, is time-consuming and poorly sensitive. C-reactive protein and procalcitonin, currently used as sepsis biomarkers, are influenced by several maternal and fetal pro-inflammatory conditions in the perinatal age. Presepsin is the N-terminal fragment of soluble CD14 subtype (sCD14-ST): it is released in the bloodstream by monocytes and macrophages, in response to bacterial invasion. Presepsin seems to be a new, promising biomarker for the early diagnosis of sepsis in neonates as it is not modified by perinatal confounding inflammatory factors. The aim of the present review is to collect current knowledge about the role of presepsin in critically ill neonates.

Biomarker-Guided Individualization of Antibiotic Therapy

Treatment failure of antibiotic therapy due to insufficient efficacy or occurrence of toxicity is a major clinical challenge, and is expected to become even more urgent with the global rise of antibiotic resistance. Strategies to optimize treatment in individual patients are therefore of crucial importance. Currently, therapeutic drug monitoring plays an important role in optimizing antibiotic exposure to reduce treatment failure and toxicity. Biomarker-based strategies may be a powerful tool to further quantify and monitor antibiotic treatment response, and reduce variation in treatment response between patients. Host response biomarkers, such as CRP, procalcitonin, IL-6, and presepsin, could potentially carry significant information to be utilized for treatment individualization. To achieve this, the complex interactions among immune system, pathogen, drug, and biomarker need to be better understood and characterized. The purpose of this tutorial is to discuss the use and evidence of currently available biomarker-based approaches to inform antibiotic treatment. To this end, we also included a discussion on how treatment response biomarker data from preclinical, healthy volunteer, and patient-based studies can be further characterized using pharmacometric and system pharmacology based modeling approaches. As an illustrative example of how such modeling strategies can be used, we describe a case study in which we quantitatively characterize procalcitonin dynamics in relation to antibiotic treatments in patients with sepsis.

Presepsin as Early Marker of Sepsis in Emergency Department: A Narrative Review

The diagnosis and treatment of sepsis have always been a challenge for the physician, especially in critical care setting such as emergency department (ED), and currently sepsis remains one of the major causes of mortality. Although the traditional definition of sepsis based on systemic inflammatory response syndrome (SIRS) criteria changed in 2016, replaced by the new criteria of SEPSIS-3 based on organ failure evaluation, early identification and consequent early appropriated therapy remain the primary goal of sepsis treatment. Unfortunately, currently there is a lack of a foolproof system for making early sepsis diagnosis because conventional diagnostic tools like cultures take a long time and are often burdened with false negatives, while molecular techniques require specific equipment and have high costs. In this context, biomarkers, such as C-Reactive Protein (CRP) and Procalcitonin (PCT), are very useful tools to distinguish between normal and pathological conditions, graduate the disease severity, guide treatment, monitor therapeutic responses and predict prognosis. Among the new emerging biomarkers of sepsis, Presepsin (P-SEP) appears to be the most promising. Several studies have shown that P-SEP plasma levels increase during bacterial sepsis and decline in response to appropriate therapy, with sensitivity and specificity values comparable to those of PCT. In neonatal sepsis, P-SEP compared to PCT has been shown to be more effective in diagnosing and guiding therapy. Since in sepsis the P-SEP plasma levels increase before those of PCT and since the current methods available allow measurement of P-SEP plasma levels within 17 min, P-SEP appears a sepsis biomarker particularly suited to the emergency department and critical care.

Presepsin values and prognostic nutritional index predict mortality in intensive care unit patients with sepsis: a pilot study

Objective

Sepsis is a major cause of mortality for critically ill patients. This study aimed to determine whether presepsin values can predict mortality in patients with sepsis.

Results

Receiver operating characteristic (ROC) curve analysis, Log-rank test, and multivariate analysis identified presepsin values and Prognostic Nutritional Index as predictors of mortality in sepsis patients. Presepsin value on Day 1 was a predictor of early mortality, i.e., death within 7 days of ICU admission; ROC curve analysis revealed an AUC of 0.84, sensitivity of 89%, and specificity of 77%; and multivariate analysis showed an OR of 1.0007, with a 95%CI of 1.0001–1.0013 (p = 0.0320).

Supplementary Information

The online version contains supplementary material available at 10.1186/s13104-021-05659-9.

Presepsin and prognostic nutritional index are predictors of septic acute kidney injury, renal replacement therapy initiation in sepsis patients, and prognosis in septic acute kidney injury patients: a pilot study

Background

Sepsis is the most common cause of acute kidney injury (AKI) among critically ill patients. This study aimed to determine whether presepsin is a predictor of septic acute kidney injury, renal replacement therapy initiation (RRTi) in sepsis patients, and prognosis in septic AKI patients.

Methods

Presepsin values were measured immediately after ICU admission (baseline) and on Days 2, 3, and 5 after ICU admission. Glasgow Prognostic Score (GPS), neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio, Prognostic Index, and Prognostic Nutritional Index (PNI) were measured at baseline, and total scores (“inflammation-presepsin scores [iPS]”) were calculated for category classification. Presepsin values, inflammation-based prognostic scores, and iPS were compared between patients with and without septic AKI or RRTi and between survivors and non-survivors.

Results

Receiver operating characteristic curve analyses identified the following variables as predictors of septic AKI and RRTi in sepsis patients: presepsin on Day 1 (AUC: 0.73) and Day 2 (AUC: 0.71) for septic AKI, and presepsin on Day 1 (AUC: 0.71), Day 2 (AUC: 0.9), and Day 5 (AUC: 0.96), Δpresepsin (Day 2 – Day 1) (AUC: 0.84), Δpresepsin (Day 5 – Day 1) (AUC: 0.93), and PNI (AUC: 0.72) for RRTi. Multivariate logistic regression analyses identified presepsin on Day 2 as a predictor of prognosis in septic AKI patients.

Conclusions

Presepsin and PNI were found to be predictors of septic AKI, RRTi in sepsis patients, and prognosis in septic AKI patients.

Diagnostics for Wound Infections

Significance: Infections can significantly delay the healing process in chronic wounds, placing an enormous economic burden on health care resources. Identification of infection biomarkers and imaging modalities to observe and quantify them has seen progress over the years. Recent Advances: Traditionally, clinicians determine the presence of infection through visual observation of wounds and confirm their diagnosis through wound culture. Many laboratory markers, including C-reactive protein, procalcitonin, presepsin, and bacterial protease activity, have been quantified to assist diagnosis of infection. Moreover, imaging modalities like plain radiography, computed tomography, magnetic resonance imaging, ultrasound imaging, spatial frequency domain imaging, thermography, autofluorescence imaging, and biosensors have emerged for real-time wound infection diagnosis and showed their unique advantages in deeper wound infection diagnosis. Critical Issues: While traditional diagnostic approaches provide valuable information, they are time-consuming and depend on clinicians' experiences. There is a need for noninvasive wound infection diagnostics that are highly specific, rapid, and accurate, and do not require extensive training. Future Directions: While innovative diagnostics utilizing various imaging instrumentation are being developed, new biomarkers have been investigated as potential indicators for wound infection. Products may be developed to either qualitatively or quantitatively measure these biomarkers. This review summarizes and compares all available diagnostics for wound infection, including those currently used in clinics and still under development. This review could serve as a valuable resource for clinicians treating wound infections as well as patients and wound care providers who would like to be informed of the recent developments.

Hyper-Activation of Endogenous GLP-1 System to Gram-negative Sepsis Is Associated With Early Innate Immune Response and Modulated by Diabetes

BACKGROUND

Culture-positive gram-negative sepsis induces greater magnitude of early innate immunity /inflammatory response compared with culture-negative sepsis. We previously demonstrated increased activation of anti-inflammatory Glucagon Like Peptide-1 (GLP-1) hormone in initial phase of sepsis more pronounced in diabetes patients. However, whether GLP-1 system is hyperactivated during the early innate immune response to gram-negative sepsis and modulated by diabetes remains unknown.

OBJECTIVES

Total and active GLP-1, soluble Dipeptidyl peptidase 4 (sDPP-4) enzyme, and innate immunity markers presepsin (sCD14) and procalcitonin (PCT) in plasma were determined by ELISA on admission and after 2 to 4 days in 37 adult patients with and without type 2 diabetes and gram-negative or culture-negative sepsis of different severity.

RESULTS

Severe but not non-severe sepsis was associated with markedly increased GLP-1 system response, which correlated with PCT and the organ dysfunction marker lactate. Culture-positive gram-negative bacteria but not culture-negative sepsis induced hyper-activation of GLP-1 system, which correlated with increased innate immune markers sCD14, PCT, and lactate. GLP-1 inhibitory enzyme sDPP-4 was down regulated by sepsis and correlated negatively with sCD14 in gram-negative sepsis. Diabetic patients demonstrated increased GLP-1 response but significantly weaker innate immune response to severe and gram-negative sepsis.

CONCLUSIONS

Early stage of gram-negative sepsis is characterized by endogenous GLP-1 system hyperactivity associated with over activation of innate immune response and organ dysfunction, which are modulated by diabetes. Total GLP-1 may be novel marker for rapid diagnosis of gram-negative sepsis and its severity.

Future Biomarkers for Infection and Inflammation in Febrile Children

Febrile patients, suffering from an infection, inflammatory disease or autoimmunity may present with similar or overlapping clinical symptoms, which makes early diagnosis difficult. Therefore, biomarkers are needed to help physicians form a correct diagnosis and initiate the right treatment to improve patient outcomes following first presentation or admittance to hospital. Here, we review the landscape of novel biomarkers and approaches of biomarker discovery. We first discuss the use of current plasma parameters and whole blood biomarkers, including results obtained by RNA profiling and mass spectrometry, to discriminate between bacterial and viral infections. Next we expand upon the use of biomarkers to distinguish between infectious and non-infectious disease. Finally, we discuss the strengths as well as the potential pitfalls of current developments. We conclude that the use of combination tests, using either protein markers or transcriptomic analysis, have advanced considerably and should be further explored to improve current diagnostics regarding febrile infections and inflammation. If proven effective when combined, these biomarker signatures will greatly accelerate early and tailored treatment decisions.

Role of Presepsin for the Diagnosis of Sepsis and ICU Mortality: A Prospective Controlled Study

Background

This study aimed at evaluating the role of presepsin in early identification of sepsis and prediction of mortality in intensive care unit (ICU) patients in comparison to systemic inflammatory response syndrome (SIRS) and quick sequential organ failure assessment (qSOFA) score.

Materials and methods

Forty patients were selected randomly after admission to adult ICU. Data from emergency room (ER) triaging, and initial laboratory results were gathered to calculate qSOFA score, SIRS criteria, and SOFA score. Presepsin measurement was performed within 6 hours from ER triaging.The patients were categorized into sepsis and nonsepsis groups depending on the clinical and microbiological criteria and SOFA score changes.

Results

Twenty-six patients were diagnosed as septic with an average age of 68.04 ± 18.60 years, while 14 patients were nonseptic with an average age of 51.71 ± 24.88 years.Presepsin with a cutoff value >640 pg/mL (area under the curve [AUC] of 0.848 (p < 0.001}) had a significant diagnostic accuracy of identifying septic cases with sensitivity of 73.08% and specificity of 92.86% as compared to the nonsignificant SIRS (AUC, 0.670; sensitivity, 69.23%; and specificity, 57.14%) or qSOFA (AUC, 0.652; sensitivity, 38.46%; and specificity, 78.57%) criteria.Prespsin with a cutoff value >640 pg/mL also significantly (AUC of 0.920 [p < 0.001]) predicted mortality with sensitivity of 100.0% and specificity of 66.67% compared to the nonsignificant SIRS (AUC, 0.540; sensitivity, 70.0%; and specificity, 43.33%) or qSOFA (AUC, 0.670; sensitivity, 60%; and specificity, 76.67%) criteria.

Conclusion

Early presepsin measurement in ICU patients is more accurate in the diagnosis of sepsis and prediction of mortality as compared to SIRS or qSOFA score.

How to cite this article

Abdelshafey EE, Nasa P, Elgohary AE, Khalil MF, Rashwan MA, Ghezala HB, et al. Role of Presepsin for the Diagnosis of Sepsis and ICU Mortality: A Prospective Controlled Study. Indian J Crit Care Med 2021;25(2):153-157.

Role of Presepsin for the Diagnosis of Sepsis and ICU Mortality: A Prospective Controlled Study

BACKGROUND

This study aimed at evaluating the role of presepsin in early identification of sepsis and prediction of mortality in intensive care unit (ICU) patients in comparison to systemic inflammatory response syndrome (SIRS) and quick sequential organ failure assessment (qSOFA) score.

MATERIALS AND METHODS

Forty patients were selected randomly after admission to adult ICU. Data from emergency room (ER) triaging, and initial laboratory results were gathered to calculate qSOFA score, SIRS criteria, and SOFA score. Presepsin measurement was performed within 6 hours from ER triaging.The patients were categorized into sepsis and nonsepsis groups depending on the clinical and microbiological criteria and SOFA score changes.

RESULTS

Twenty-six patients were diagnosed as septic with an average age of 68.04 ± 18.60 years, while 14 patients were nonseptic with an average age of 51.71 ± 24.88 years.Presepsin with a cutoff value >640 pg/mL (area under the curve [AUC] of 0.848 (p < 0.001}) had a significant diagnostic accuracy of identifying septic cases with sensitivity of 73.08% and specificity of 92.86% as compared to the nonsignificant SIRS (AUC, 0.670; sensitivity, 69.23%; and specificity, 57.14%) or qSOFA (AUC, 0.652; sensitivity, 38.46%; and specificity, 78.57%) criteria.Prespsin with a cutoff value >640 pg/mL also significantly (AUC of 0.920 [p < 0.001]) predicted mortality with sensitivity of 100.0% and specificity of 66.67% compared to the nonsignificant SIRS (AUC, 0.540; sensitivity, 70.0%; and specificity, 43.33%) or qSOFA (AUC, 0.670; sensitivity, 60%; and specificity, 76.67%) criteria.

CONCLUSION

Early presepsin measurement in ICU patients is more accurate in the diagnosis of sepsis and prediction of mortality as compared to SIRS or qSOFA score.

HOW TO CITE THIS ARTICLE

Abdelshafey EE, Nasa P, Elgohary AE, Khalil MF, Rashwan MA, Ghezala HB, et al. Role of Presepsin for the Diagnosis of Sepsis and ICU Mortality: A Prospective Controlled Study. Indian J Crit Care Med 2021;25(2):153-157.