Marker Of Sepsis Research Articles

A prospective observational study of neutrophil CD64 as a diagnostic marker in neonatal sepsis

A prospective observational study of neutrophil CD64 as a diagnostic marker in neonatal sepsis

Bioactive Adrenomedullin in Dogs with Sepsis and Septic Shock: A Prospective, Case-Control Study

Sepsis and septic shock are leading causes of morbidity and mortality in both humans and dogs, and early diagnosis is crucial for improving outcomes. This study aimed to evaluate bioactive adrenomedullin (bio-ADM) concentrations in dogs with septic shock (n = 25), dogs with sepsis without evidence of shock (n = 25), and healthy control dogs (n = 25). Plasma bio-ADM concentrations were measured using a human sandwich enzyme-linked immunosorbent assay and reported as median (interquartile range). Plasma bio-ADM concentrations were significantly higher in both septic groups compared to the healthy controls (all <22.4 pg/mL), but not significantly different between the septic shock (75.0 [28.7–115.0] pg/mL) and sepsis (30.7 [22.4–79.7] pg/mL) groups. Dogs with higher illness severity scores had significantly higher bio-ADM concentrations (93.1 [32.2–122.0] pg/mL) than those with lower scores (29.8 [22.4–71.2] pg/mL). However, bio-ADM concentrations did not differ between survivors (33.0 [22.7–76.7] pg/mL) and non-survivors (74.7 [26.1–123.2] pg/mL). Measurement of bio-ADM is a potential marker for canine sepsis, but not for the identification of septic shock, and may provide information on disease severity. Further studies, including those on non-infectious inflammatory conditions, are necessary to better understand the diagnostic utility of bio-ADM measurement and its potential role as a marker of treatment response in dogs with sepsis.

Exploring the circulating metabolome of sepsis: metabolomic and lipidomic profiles sampled in the ambulance

BackgroundSepsis is defined as a dysfunctional host response to infection. The diverse clinical presentations of sepsis pose diagnostic challenges and there is a demand for enhanced diagnostic markers for sepsis as well as an understanding of the underlying pathological mechanisms involved in sepsis. From this perspective, metabolomics has emerged as a potentially valuable tool for aiding in the early identification of sepsis that could highlight key metabolic pathways and underlying pathological mechanisms.ObjectiveThe aim of this investigation is to explore the early metabolomic and lipidomic profiles in a prospective cohort where plasma samples (n = 138) were obtained during ambulance transport among patients with infection according to clinical judgement who subsequently developed sepsis, patients who developed non-septic infection, and symptomatic controls without an infection.MethodsMultiplatform metabolomics and lipidomics were performed using UHPLC–MS/MS and UHPLC–QTOFMS. Uni- and multivariable analysis were used to identify metabolite profiles in sepsis vs symptomatic control and sepsis vs non-septic infection.ResultsUnivariable analysis disclosed that out of the 457 annotated metabolites measured across three different platforms, 23 polar, 27 semipolar metabolites and 133 molecular lipids exhibited significant differences between patients who developed sepsis and symptomatic controls following correction for multiple testing. Furthermore, 84 metabolites remained significantly different between sepsis and symptomatic controls following adjustment for age, sex, and Charlson comorbidity score. Notably, no significant differences were identified in metabolites levels when comparing patients with sepsis and non-septic infection in univariable and multivariable analyses.ConclusionOverall, we found that the metabolome, including the lipidome, was decreased in patients experiencing infection and sepsis, with no significant differences between the two conditions. This finding indicates that the observed metabolic profiles are shared between both infection and sepsis, rather than being exclusive to sepsis alone.

Copeptin as an inflammatory marker in diagnosis and prognosis of neonatal sepsis

BackgroundCopeptin is an immediate biomarker of individual stress response; many life-threatening diseases are causing a high elevation of its concentration in plasma, such as myocardial infarction and cardiovascular shock. Moreover, copeptin is a promising marker in sepsis. We aimed to evaluate copeptin as a diagnostic and prognostic marker in neonatal sepsis for the early initiation of appropriate therapy and the prediction of mortality. A prospective case-control study involved 237 neonates (165 cases had neonatal sepsis, and 72 served as controls). Cases were admitted to the neonatal intensive care unit (NICU) and followed up for symptoms and signs of sepsis confirmed by laboratory data: complete blood count (CBC), c-reactive protein (CRP), and cultures. Serum copeptin level by the enzyme-linked immunosorbent assay (ELISA) was measured for all included neonates. We observed that the copeptin level was significantly higher in cases than control (3.51 ± 1.4, 1.61 ± 0.51 pmol/liter, respectively). The cut-off value of copeptin at which we can discriminate between cases and controls was above 2.065 pmol/liter. Among cases, copeptin was higher in early-onset sepsis (EOS) than late-onset sepsis (LOS) neonates, and there was a significant correlation between its level and all the following: age at admission, birth weight, gestational age, history of perinatal asphyxia, maternal chorioamnionitis, and premature rupture of membrane (PROM). Also, copeptin was strongly associated with CRP level and the poor prognosis of patients. Copeptin can predict the death of cases at a cut-off value above 2.995 pmol/liter.ConclusionSerum copeptin level can be used as a diagnostic and prognostic marker in neonatal sepsis.

199 Evaluation of the Diagnostic Accuracy of Exhaled Nitric Oxide as a Marker of Infection and Sepsis in Emergency Department Patients

199 Evaluation of the Diagnostic Accuracy of Exhaled Nitric Oxide as a Marker of Infection and Sepsis in Emergency Department Patients

Association between red blood cell distribution width and 30-day mortality in critically ill septic patients: a propensity score-matched study

BackgroundSepsis is the leading cause of death worldwide, and a number of biomarkers have been developed for early mortality risk stratification. Red blood cell distribution width (RDW) is a routinely available hematological data and has been found to be associated with mortality in a number of diseases; therefore, we aim to address the association between RDW and mortality in critically ill patients with sepsis.MethodsWe analyzed data of critically ill adult patients with sepsis on the TriNetX platform, excluding those with hematologic malignancies, thalassemia, and iron deficiency anemia. Propensity score-matching (PSM) (1:1) was used to mitigate confounding effects, and hazard ratio (HR) with 95% confidence (CI) was calculated to determine the association between RDW and 30-day mortality. We further conducted sensitivity analyses through using distinct cut-points of RDW and severities of sepsis.ResultsA total of 256,387 critically ill septic patients were included in the analysis, and 40.0% of them had RDW equal to or higher than 16%. After PSM, we found that high RDW was associated with an increased 30-day mortality rate (HR: 1.887, 95% CI 1.847–1.928). The associations were consistent using distinct cut-points of RDW, with the strength of association using cut-points of 12%, 14%, 16%, 18% and 20% were 2.098, 2.204, 1.887, 1.809 and 1.932, respectively. Furthermore, we found consistent associations among critically ill septic patients with distinct severities, with the association among those with shock, receiving mechanical ventilation, bacteremia and requirement of hemodialysis being 1.731, 1.735, 2.380 and 1.979, respectively.ConclusionWe found that RDW was associated with 30-day mortality in critically ill septic patients, underscoring the potential as a prognostic marker in sepsis. More studies are needed to explore the underlying mechanisms.

Antimicrobial therapy in newborns: from theory to practice

Currently, there are no uniform accurate statistical data on the development of neonatal sepsis. This critical condition is difficult to diagnose in the early stages due to the lack of reliable markers with high prognostic value, and the use of currently available sepsis markers with high specificity and/or sensitivity is limited to large tertiary level obstetric hospitals. In this regard, as part of the early diagnosis of neonatal sepsis, issues related to amultifactorial assessment of the risk of neonatal sepsis becoming relevant, on the basis of which indications for prescribing therapy for the prevention of this condition will be justified. The most common etiological cause of sepsis is numerous pathogens: bacteria, viruses and fungi. This again leaves difficulties in choosing the right therapeutic tactics, especially within the framework of antibiotic therapy, the protocols of which vary from hospital to hospital not only in our country, but throughout the world. Based on the practice of domestic and foreign colleagues, it is necessary to discuss protocols for the management of patients with such acomplex diagnosis as sepsis.

Predicting Mortality in Sepsis: The Role of Dynamic Biomarker Changes and Clinical Scores-A Retrospective Cohort Study.

The prognostic value of baseline inflammatory markers in sepsis remains controversial, with conflicting evidence regarding their association with mortality. The dynamic changes in these markers over time might offer additional insights into disease progression and patient outcomes. This retrospective observational study included 138 patients with severe infections. The inflammatory biomarkers procalcitonin (PCT), C-reactive protein (CRP), and lactate (LAC) were measured at three time points: upon hospital admission (baseline), approximately 24-48 h after admission (second measurement; M2), and 48-72 h after admission (third measurement; M3). The primary outcome was 30-day mortality. A Mann-Whitney U test was used to compare the biomarker levels between the survivors and non-survivors. A Spearman's correlation was used to assess the relationships between the baseline parameters. A logistic regression and a receiver operating characteristic (ROC) curve analysis were employed to evaluate the prognostic value of the baseline markers and their dynamic changes. The baseline LAC and SOFA score were significantly associated with 30-day mortality. The percentage decrease in PCT, CRP, and LAC from the baseline to M3 emerged as strong predictors of survival, with the ROC curve analysis demonstrating superior discriminatory ability compared to the baseline values. CRP_Delta exhibited the highest AUC (0.903), followed by PCT_Delta (0.843) and LAC_Delta (0.703). The dynamic changes in these inflammatory biomarkers, particularly PCT, CRP, and LAC, offer valuable prognostic information beyond their baseline levels in predicting 30-day mortality in severe infections. These findings highlight the importance of monitoring biomarker trends for early risk stratification and potential treatment guidance.

Platelet Metabolites as Candidate Biomarkers in Sepsis Diagnosis and Management Using the Proposed Explainable Artificial Intelligence Approach.

Background: Sepsis is characterized by an atypical immune response to infection and is a dangerous health problem leading to significant mortality. Current diagnostic methods exhibit insufficient sensitivity and specificity and require the discovery of precise biomarkers for the early diagnosis and treatment of sepsis. Platelets, known for their hemostatic abilities, also play an important role in immunological responses. This study aims to develop a model integrating machine learning and explainable artificial intelligence (XAI) to identify novel platelet metabolomics markers of sepsis. Methods: A total of 39 participants, 25 diagnosed with sepsis and 14 control subjects, were included in the study. The profiles of platelet metabolites were analyzed using quantitative 1H-nuclear magnetic resonance (NMR) technology. Data were processed using the synthetic minority oversampling method (SMOTE)-Tomek to address the issue of class imbalance. In addition, missing data were filled using a technique based on random forests. Three machine learning models, namely extreme gradient boosting (XGBoost), light gradient boosting machine (LightGBM), and kernel tree boosting (KTBoost), were used for sepsis prediction. The models were validated using cross-validation. Clinical annotations of the optimal sepsis prediction model were analyzed using SHapley Additive exPlanations (SHAP), an XAI technique. Results: The results showed that the KTBoost model (0.900 accuracy and 0.943 AUC) achieved better performance than the other models in sepsis diagnosis. SHAP results revealed that metabolites such as carnitine, glutamate, and myo-inositol are important biomarkers in sepsis prediction and intuitively explained the prediction decisions of the model. Conclusion: Platelet metabolites identified by the KTBoost model and XAI have significant potential for the early diagnosis and monitoring of sepsis and improving patient outcomes.

Assessment of neutrophil to lymphocyte ratio, platelet to lymphocyte ratio and systemic immune-inflammatory index, as diagnostic markers for neonatal sepsis.

To assess the neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR) and systemic immune-inflammatory index (SII), as diagnostic markers for neonatal sepsis. This retrospective study involve neonates with sepsis and healthy neonates as controls. NLR, PLR, and SII were compared between groups. In total, 60 neonates with sepsis and 60 healthy controls were involved in the study. Compared with controls, the sepsis group had higher values for NLR, PLR and SII. Logistic regression analysis suggested that the NLR, PLR and SII were independent risk factors for neonatal sepsis. In addition, receiver operating characteristic (ROC) curve analysis indicated that the NLR, PLR and SII were reliable predictors of neonatal sepsis and SII had the best predictive value. NLR, PLR and SII appear to be useful indicators for predicting neonatal sepsis.

Role of neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio in diagnosing neonatal sepsis.

Clinical manifestations of neonatal sepsis are often unspecified. Therefore, sepsis biomarkers could be used to support diagnosis while waiting for blood culture results, such as the neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR). The aim of this study was to evaluate the role of NLR and PLR as diagnostic markers in neonatal sepsis. A cross-sectional study was conducted at Haji Adam Malik General Hospital, Medan, Indonesia, from April to October 2019. This study included neonates aged less than 28 days, diagnosed with suspected sepsis, and had no previous history of antibiotics administration. Patients underwent clinical assessment, laboratory examination, and blood culture. Patients were grouped into sepsis and non-sepsis based on the blood culture results. The median hematological examination and the range of NLR and PLR in both the sepsis and non-sepsis groups were subjected to analysis using the Mann-Whitney U test to assess differences. NLR and PLR optimal cut-off values were determined using a receiver operator curve (ROC) with a confidence interval of 95%. A total of 137 neonates were enrolled, of which 49 were classified as sepsis and 89 as non-sepsis based on blood culture results. The optimal cutoff values for NLR and PLR were 2.75 and 11.73. Using those cutoff values, NLR and PLR could predict neonatal sepsis with sensitivities of 52.1% and 47.9%, specificities of 50.6% and 47.2%, area under the curve (AUC) of 0.46 and 0.47, with p=0.525 and p=0.662, respectively. Further investigation is warranted to refine the NLR and PLR utility and enhance diagnostic accuracy in clinical practices.

Unveiling neonatal risk factors, clinical profile and early diagnostic markers of neonatal sepsis in a tertiary care hospital from South India: a cross-sectional study

Unveiling neonatal risk factors, clinical profile and early diagnostic markers of neonatal sepsis in a tertiary care hospital from South India: a cross-sectional study

D-dimer as a Useful Biomarker in Early Diagnosis of Neonatal Sepsis: A Single-Center Study From Romania.

This study evaluates the role of D-dimer in identifying neonatal sepsis and their potential value in clinical decision-making due to challenges in early detection. A case-control study was conducted on 102 neonates at the Children's Clinical Hospital "Louis Turcanu" in Timisoara, Romania, from October 2018 to July 2023. The participants were divided into two groups: those with neonatal sepsis and those without sepsis. The study found that neonates with sepsis were more likely to be delivered by cesarean section and had higher rates of premature ruptured membranes compared to those without sepsis. The D-dimer biomarker's predictive value for sepsis was assessed using a receiver operating characteristic (ROC) curve, with an area under the curve (AUC) exceeding 0.982 and an optimum cutoff value of 342 ng/mL. An increase in neonatal D-dimer significantly increases the likelihood of sepsis by 2.7% per unit increase. A value above 250 ng/mL indicates a 127-fold increased likelihood of sepsis. The D-dimer's ability to predict mortality innewborns with sepsis is unsatisfactory, with an AUC of 0.528. D-dimer, a potential biomarker of neonatal sepsis, warrants further clinical investigation to enhance diagnostic sensitivity and specificity, demonstrating its potential in conjunction with other sepsis markers.

Endothelium-Derived Extracellular Vesicles Expressing Intercellular Adhesion Molecules Reflect Endothelial Permeability and Sepsis Severity.

Currently, clinical indicators for evaluating endothelial permeability in sepsis are unavailable. Endothelium-derived extracellular vesicles (EDEVs) are emerging as biomarkers of endothelial injury. Platelet endothelial cell adhesion molecule (PECAM) and vascular endothelial (VE)-cadherin are constitutively expressed endothelial intercellular adhesion molecules that regulate intercellular adhesion and permeability. Herein, we investigated the possible association between EDEVs expressing intercellular adhesion molecules (PECAM+ or VE-cadherin+ EDEVs) and endothelial permeability and sepsis severity. Human umbilical vein endothelial cells (HUVECs) were stimulated with tumor necrosis factor alpha (TNF-α) directly or after pretreatment with permeability-modifying reagents such as angiopoietin-1, prostacyclin, or vascular endothelial growth factor (VEGF) to alter TNF-α-induced endothelial hyperpermeability. Endothelial permeability was measured using the dextran assay or transendothelial electrical resistance. Additionally, a prospective cross-sectional observational study was conducted to analyze circulating EDEV levels in patients with sepsis. EDEVs were examined in HUVEC culture supernatants or patient plasma (nonsepsis, n = 30; sepsis, n = 30; septic shock, n = 42) using flow cytometry. The Wilcoxon rank-sum test was used for comparisons between 2 groups. Comparisons among 3 or more groups were performed using the Steel-Dwass test. Spearman's test was used for correlation analysis. Statistical significance was set at P < .05. TNF-α stimulation of HUVECs significantly increased EDEV release and endothelial permeability. Pretreatment with angiopoietin-1 or prostacyclin suppressed the TNF-α-induced increase in endothelial permeability and inhibited the release of PECAM+ and VE-cadherin+ EDEVs. In contrast, pretreatment with VEGF increased TNF-α-induced endothelial permeability and the release of PECAM+ and VE-cadherin+ EDEVs. However, pretreatment with permeability-modifying reagents did not affect the release of EDEVs expressing inflammatory stimulus-inducible endothelial adhesion molecules such as E-selectin, intracellular adhesion molecule-1, or vascular cell adhesion molecule-1. The number of PECAM+ EDEVs on admission in the septic-shock group (232 [124, 590]/μL) was significantly higher (P = .043) than that in the sepsis group (138 [77,267]/μL), with an average treatment effect of 98/μL (95% confidence interval [CI], 2-270/μL), and the number of VE-cadherin+ EDEVs in the septic-shock group (173 [76,339]/μL) was also significantly higher (P = .004) than that in the sepsis group (81 [42,159]/μL), with an average treatment effect (ATE) of 79/μL (95% CI, 19-171/μL); these EDEV levels remained elevated until day 5. EDEVs expressing intercellular adhesion molecules (PECAM+ or VE-cadherin+ EDEVs) may reflect increased endothelial permeability and could be valuable diagnostic and prognostic markers for sepsis.

Procalcitonin-A Marker of Sepsis

Background: Sepsis remains a significant health concern, particularly in resource-limited regions like Bangladesh. Despite available diagnostic methods, identifying bacterial infections in septic patients proves challenging, prompting the exploration of biomarkers. Procalcitonin (PCT) has emerged as a promising biomarker for bloodstream infections like sepsis. Objective: This study aims to evaluate the utility of measuring serum PCT levels in diagnosing and assessing the severity of sepsis, with a focus on enhancing early treatment in intensive care units (ICUs). Method: A prospective study was conducted on 50 patients admitted to the Combined Military Hospital, Dhaka ICU, exhibiting clinical manifestations of sepsis between April and September 2015. Patients of all ages and genders were included, while those with recent major surgery, trauma, or burn history were excluded. Detailed clinical assessments and laboratory investigations were performed, with data recorded on a standardized proforma. Result: Of the 50 patients evaluated, 64% were male, and 36% were female, with a mean age of 56.11±10.89 years. Sepsis was more prevalent in patients aged &gt;50 years (60%) and in males (64%). Respiratory tract infection (RTI) was the most common source of sepsis (40% of cases), with Klebsiella pneumonia being the predominant organism. Higher Sequential Organ Failure Assessment (SOFA) scores correlated significantly with elevated serum PCT concentrations. Serum PCT demonstrated a significant difference between non-septic and septic groups (p-value &lt;0.001), exhibiting sensitivity and specificity of 91% and 83.3%, respectively. Conclusion: Serum PCT emerges as a promising marker for sepsis in critically ill patients, enhancing diagnostic certainty and informing patient management. Its addition to routine work-ups could improve outcomes and patient care in ICUs.

Phenotypic Landscape of Immune Cells in Sepsis: Insights from High-Dimensional Mass Cytometry.

Understanding the sepsis-induced immunological response can be facilitated by identifying phenotypic changes in immune cells at the single-cell level. Mass cytometry, a novel multiparametric single-cell analysis technique, offers considerable benefits in characterizing sepsis-induced phenotypic changes in peripheral blood mononuclear cells. Here, we analyzed peripheral blood mononuclear cells from 20 sepsis patients and 10 healthy donors using mass cytometry and employing 23 markers. Both manual gating and automated clustering approaches (PhenoGraph) were used for cell identification, complemented by uniform manifold approximation and projection (UMAP) for dimensionality reduction and visualization. Our study revealed that patients with sepsis exhibited a unique immune cell profile, marked by an increased presence of monocytes, B cells, and dendritic cells, alongside a reduction in natural killer (NK) cells and CD4/CD8 T cells. Notably, significant changes in the distributions of monocytes and B and CD4 T cells were observed. Clustering with PhenoGraph unveiled the subsets of each cell type and identified elevated CCR6 expression in sepsis patients' monocyte subset (PG#5), while further PhenoGraph clustering on manually gated T and B cells discovered sepsis-specific CD4 T cell subsets (CCR4low CD20low CD38low) and B cell subsets (HLA-DRlow CCR7low CCR6high), which could potentially serve as novel diagnostic markers for sepsis.

Prognostic Value of Pentraxin 3 and Procalcitonin in Late onset Neonatal Sepsis

Abstract Background Sepsis is a major cause of intensive care unit (ICU) admission. Procalcitonin (PCT) could be an important prognostic marker for sepsis. Pentraxin 3 (PTX3) and PCT are detectable in patients with sepsis within a large time window after the onset of sepsis. Objective To assess the prognostic value of the PTX3, PCT in neonatal sepsis in comparison with other sepsis screen. Patients and Methods A prospective study included 40 neonates with sepsis. The study had been conducted in the neonatal intensive care units of Ain Shams University, Children’s Hospital during the period from January 2020 to May 2022. All neonates had been subjected to clinical examination, anthropometric measurements and sepsis scoring by neonatal sequential organ failure assessment (nSOFA). Laboratory investigations were collected from all pediatrics including Complete blood count (CBC), quantitative C- reactive protein (CRP), blood culture, serum pentraxin 3 (PTX3) and serum procalcitonin (PCT). Sepsis markers had been obtained from neonates at the day of being with suspected sepsis before starting the antimicrobial therapy (Day 0). While blood samples for sepsis markers reobtained only from neonates with positive blood cultures on the 3rd (Day3), accordingly our patients divided into improved and deteriorated groups. Results There was a significant decrease in CRP level and increase in procalcitonin and pentraxin 3 levels in deteriorated group than improved group at baseline with p-value = 0.004, 0.016 and 0.019; respectively. Also, the study shows that there was a significant increase in CRP, procalcitonin and pentraxin 3 levels in deteriorated group than improved group after 3 days with p-value = 0.002, &amp;lt;0.001 and &amp;lt;0.001; respectively. Furthermore, in improved group, there was a significant decrease in the level of CRP, procalcitonin and pentraxin 3 after 3 days than at baseline with p-value = 0.001, &amp;lt;0.001 and 0.001; respectively. Also in deteriorated group, there was statistically significant increase in the CRP and pentraxin 3 levels after 3 days than at baseline in deteriorated group with p- value = 0.002 and 0.019; respectively while no change found in procalcitonin level. Conclusion Serum pentraxin 3 and procalcitonin levels seem to be promising prognostic markers in neonatal sepsis with higher sensitivity and specificity for procalcitonin than pentraxin at 3 days.

The Diagnostic and Prognostic Values of Soluble CD14 Subtype (Presepsin) in Early Detection of Early Onset Neonatal Sepsis in Preterm Newborns

Abstract Background The diagnosis of “suspected sepsis” in neonates in the NICU is one of the most common and challenging diagnoses due to the nonspecific signs of sepsis. therefore, laboratory investigation is necessary in cases of doubt or if there are risk factors. A promising biomarker: Presepsin (P-SEP), or Soluble Cluster of Differentiation 14 Subtype (sCD14-ST) is generated as a part of the body’s response to bacterial infection. It is effective in the early phase of inflammation, and it is detected as an early marker of sepsis in neonates. Aim and Objectives to evaluate the diagnostic value of presepsin in early neonatal sepsis and prognostic value for severity, mortality and hospital stay length. Subjects and Methods This prospective observational study include two groups, one group included 36 neonates with risk factors for early-onset sepsis, along with 20 uninfected neonates as the control group. Both groups were subjected to the calculation of Rodwell score, SNAP II score, serum presepsin levels, CRP measurement, and blood culture and assessed for clinical severity, mortality, and hospital stay length. Result Serum baseline presepsin was significantly elevated in sepsis group (P &amp;lt; 0.001), Presepsin showed the best diagnostic performance over Rodwell score (AUC 0.989; sensitivity of 93.8% and specificity of 95%). Presepsin levels on day 3 were significantly elevated in non-survived patients (P &amp;lt; 0.001), with better predictive performance for 28-day mortality and rapid progression to death than SNAP II score (AUC 0.880; sensitivity of 83.3% and specificity of 87.5%). Conclusion presepsin day 1 was useful diagnostic tools in culture proven early onset neonatal sepsis, presepsin at day 3 could be a good predictor for gram negative infections, 28-day mortality, and sepsis severity.

Neutrophil CD64 – A Reliable Predictive Marker of Sepsis in Adult Intensive Care Unit

Abstract BACKGROUND: Sepsis poses a significant threat to adult patients admitted to intensive care units (ICUs), contributing to substantial morbidity and mortality. Neutrophil CD64 (nCD64) expression has been linked to inflammatory responses during infection or tissue injury, suggesting its potential as a predictive marker for sepsis. MATERIALS AND METHODS: We conducted a prospective analytical study over 2 years at a tertiary care hospital, enrolling 91 sepsis cases from the adult ICU. Alongside routine laboratory parameters, including complete blood count, prothrombin time, activated partial thromboplastin time, fibrinogen, C-reactive protein, and procalcitonin, the expression of nCD64 was analyzed using a Beckman Coulter Navios flow cytometer. Median fluorescence intensity (MFI) was calculated for these cases. Statistical analysis was performed using SPSS version 25.0 software, with a significance threshold of P &lt; 0.05. RESULTS: MFI scores demonstrated a notable increase in diagnosed sepsis cases, as determined by clinical and biochemical parameters. Moreover, changes in MFI scores on Day 4 exhibited a correlation with other clinical and biochemical parameters, strengthening the association between nCD64 expression and sepsis severity. CONCLUSION: Our findings suggest that nCD64 serves as an independent prognostic factor in adult ICU sepsis patients. It offers a promising alternative to traditional sepsis markers for predicting patient outcomes, emphasizing its potential clinical utility in guiding therapeutic interventions and improving patient care in ICU settings.

Serum Ferritin and Procalcitonin as Diagnostic Biomarkers for Sepsis in an Emergency Department: A Clinical Study

Abstract Background and Aim: Sepsis, a life-threatening condition, presents diagnostic challenges due to its heterogeneous nature. Early and accurate diagnosis is essential for timely intervention. Serum biomarkers, such as ferritin and procalcitonin (PCT), have been explored for their potential in sepsis diagnosis, but the outcomes are inconclusive. The current study was an attempt to further explore the usefulness of ferritin and PCT as sepsis biomarkers. Material and Methods: A prospective study involving 149 patients assessed serum ferritin and PCT levels in those with features suggestive of sepsis. Patients were categorized into sepsis and nonsepsis groups based on the clinical judgment of the emergency physicians. Statistical analyses, including the Mann–Whitney U test and receiver operating characteristic (ROC) curves, were conducted to evaluate the diagnostic utility of these biomarkers. Results: Serum ferritin levels did not exhibit a statistically significant difference between sepsis and nonsepsis groups (P = 0.698). In contrast, PCT levels were significantly higher in sepsis cases (P = 0.011). ROC analysis identified an optimal PCT cutoff value of 0.085, offering high sensitivity (92.5) but lower specificity (16.7). Conclusion: PCT proved valuable as a diagnostic marker for sepsis. Serum ferritin, on the other hand, did not demonstrate statistical significance as a diagnostic marker for sepsis, its potential role in specific septic conditions and disease severity monitoring warrants further investigation.