C-reactive protein and procalcitonin during course of sepsis and septic shock

The Prognostic Value of the CALLY Index in Sepsis: A Composite Biomarker Reflecting Inflammation, Nutrition, and Immunity

Background/Objectives: Sepsis remains a leading cause of mortality worldwide, necessitating the development of effective prognostic markers for early risk stratification. The C-reactive protein-albumin-lymphocyte (CALLY) index is a novel biomarker that integrates inflammatory, nutritional, and immunological parameters. This study aimed to evaluate the association between the CALLY index and 30-day all-cause mortality in sepsis patients. Methods: This retrospective cohort study included adult patients diagnosed with sepsis in the emergency department between 1 January 2022, and 1 January 2025. The CALLY index was calculated as (CRP × absolute lymphocyte count)/albumin. The primary outcome was 30-day all-cause mortality. Five machine learning models-extreme gradient boosting (XGBoost), multilayer perceptron, random forest, support vector machine, and generalized linear model-were developed for mortality prediction. Four feature selection strategies (gain score, SHAP values, Boruta, and LASSO regression) were used to evaluate predictor consistency. The clinical utility of the CALLY index was assessed using decision curve analysis (DCA). Results: A total of 1644 patients were included, of whom 345 (21.0%) died within 30 days. Among the five machine learning models, the XGBoost model achieved the highest performance (AUC: 0.995, R2: 0.867, MAE: 0.063, RMSE: 0.145). In gain-based feature selection, the CALLY index emerged as the top predictor (gain: 0.187), followed by serum lactate (0.185) and white blood cell count (0.117). The CALLY index also ranked second in SHAP analysis (mean value: 0.317) and first in Boruta importance (mean importance: 37.54). DCA showed the highest net clinical benefit of the CALLY index within the 0.10-0.15 risk threshold range. Conclusions: This study demonstrates that the CALLY index is a significant predictor of 30-day mortality in sepsis patients. Machine learning analysis further reinforced the prognostic value of the CALLY index.

In critical illness with suspected sepsis, PCT-guided antibiotics vs. standard care reduced antibiotic duration and was noninferior for 28-d mortality

CLINICAL IMPACT RATINGS

GIM/FP/GP: [Formula: see text] Infectious Disease: [Formula: see text] Critical Care: [Formula: see text].

Predictors of Unfavorable Outcomes in COVID-19-Related Sepsis: A Prospective Cohort Study

Sepsis is a leading cause of mortality in critically ill patients, arising from a dysregulated immune response to infection. While traditionally associated with bacterial pathogens, severe COVID-19 can induce a sepsis-like syndrome, characterized by systemic inflammation, endothelial dysfunction, and coagulation abnormalities. This study aimed to assess the prognostic value of age, inflammatory markers, coagulation dysfunction, comorbidity burden, and lung involvement on computer tomography (CT) scans in predicting poor outcomes. We conducted a prospective cohort study including 163 patients diagnosed with COVID-19-related sepsis. Univariate and multivariable logistic regression analyses were performed to identify the independent predictors of unfavorable outcomes. Higher D-dimer (OR: 1.417, p = 0.020) and C-reactive protein (CRP) levels (OR: 1.010, p = 0.027) were independently associated with poor outcomes. A greater than 50% lung involvement on CT (OR: 1.774, p = 0.025) was also a significant predictor. The Charleson Comorbidity Index (CCI) showed a strong trend toward significance (p = 0.065), while age lost statistical significance after adjusting for comorbidities. Our findings suggest that D-dimers, CRP, and lung involvement on CT are key independent predictors of poor outcomes in COVID-19-related sepsis. These results emphasize the importance of inflammatory and coagulation markers, alongside comorbidity burden, in early risk assessment. Further prospective studies are warranted to refine predictive models for severe COVID-19 cases complicated by sepsis.

Antibiotic Resistance and Mortality in ICU Patients: A Retrospective Analysis of First Culture Growth Results

OBJECTIVES

This study aimed to analyze the antibiotic resistance patterns of microorganisms isolated from intensive care unit (ICU) patients and evaluate their impact on mortality and length of ICU stay. Given the increasing prevalence of multidrug-resistant (MDR) pathogens in critically ill patients, understanding their resistance profiles is crucial for optimizing empirical antibiotic therapy and improving patient outcomes.

METHODS

This retrospective study included 237 ICU patients admitted between 1 July 2022, and 1 January 2024. The initial culture growth results from blood and urine samples were analyzed. Microorganism identification was performed using VITEK 2 Compact and conventional bacteriological methods, while antibiotic susceptibility testing followed CLSI 2022 and EUCAST 2022 guidelines.

RESULTS

A total of 237 ICU patients were included in this study. The most frequently isolated microorganisms were Escherichia coli (E. coli) (44.3%), Klebsiella pneumoniae (K. pneumoniae) (35.0%), and Pseudomonas aeruginosa (P. aeruginosa) (25.3%), with Acinetobacter baumannii (A. baumannii) (31.2%) being the most resistant pathogen. Among Gram-positive bacteria, methicillin-resistant Staphylococcus aureus (MRSA) (12.2%) and vancomycin-resistant enterococci (VRE) (21.5%) were the most frequently identified multidrug-resistant (MDR) pathogens. Regarding antimicrobial resistance, carbapenem resistance was highest in A. baumannii (55%), followed by P. aeruginosa (40%) and K. pneumoniae (30%). Additionally, ESBL-producing E. coli (43.2%) and K. pneumoniae (38.5%), as well as carbapenemase-producing K. pneumoniae (18.6%) and E. coli (9.2%), were identified as key resistance mechanisms impacting clinical outcomes. Patients with MDR infections had significantly longer ICU stays (p < 0.05) and higher mortality rates. The Kaplan-Meier survival analysis revealed that A. baumannii infections were associated with the highest mortality risk (HR: 4.6, p < 0.001), followed by MRSA (HR: 3.5, p = 0.005) and P. aeruginosa (HR: 2.8, p = 0.01). Among laboratory biomarkers, elevated procalcitonin (≥2 ng/mL, OR: 2.8, p = 0.008) and CRP (≥100 mg/L, OR: 2.2, p = 0.01) were significantly associated with ICU mortality. Additionally, patients who remained in the ICU for more than seven days had a 1.4-fold increased risk of mortality (p = 0.02), further emphasizing the impact of prolonged hospitalization on adverse outcomes.

CONCLUSIONS

MDR pathogens, particularly A. baumannii, MRSA, P. aeruginosa, and K. pneumoniae, are associated with longer ICU stays and higher mortality rates. Carbapenem, cephalosporin, fluoroquinolone, and aminoglycoside resistance significantly impact clinical outcomes, emphasizing the urgent need for antimicrobial stewardship programs. ESBL, p-AmpC, and carbapenemase-producing Enterobacterales further worsen patient outcomes, highlighting the need for early infection control strategies and optimized empirical antibiotic selection. Biomarkers such as procalcitonin and CRP, alongside clinical severity scores, serve as valuable prognostic tools for ICU mortality.

Biliary HMGB1 levels and biochemical indices in the assessment of acute obstructive septic cholangitis combined with septic shock

BACKGROUND

Acute Obstructive Septic Cholangitis (AOSC) is a serious infectious disease of the biliary system. It is prone to develop into septic shock without prompt management.

METHODS

Bile was collected from 71 AOSC patients (45 AOSC without septic shock, 26 AOSC with septic shock) during biliary drainage and on days 1 and 3 postoperatively. The levels of High Mobility Group Protein 1 (HMGB1), Interleukin (IL)-1, IL-6, and Tumor Necrosis Factor alpha (TNF-α) were measured. The differences in the levels of biliary factors and their correlation with clinical biochemical indicators were assessed in the two groups.

RESULTS

HMGB1 gradually decreased in both groups in the postoperative period. Intraoperative levels of biliary HMGB1 were significantly higher in patients with AOSC with septic shock. TNF-α and HMGB1 decreased slowly in patients with AOSC with septic shock on postoperative days 1 and 3, and the levels of the factors decreased less. Biliary HMGB1 levels were negatively correlated with white blood cell count and positively correlated with blood urea nitrogen, blood creatinine, procalcitonin, and C-reactive protein. A bile HMGB1 level of 1108.3 pg/mL was the cut-off value to differentiate patients with AOSC with or without septic shock.

CONCLUSION

Biliary HMGB1 levels are elevated in patients with AOSC with septic shock and decrease slowly in the postoperative period. This suggests that HMGB1 is of considerable importance as a potential therapeutic target in the pathogenesis of septic shock in AOSC patients.

CXCL5 as a biomarker for early diagnosis and prognosis of sepsis: A comprehensive clinical evaluation

OBJECTIVES

Sepsis, a critical condition caused by a dysregulated host response to infection, has high morbidity and mortality rates. Timely diagnosis and treatment are vital for improving patient outcomes. This study explores the potential role of CXCL5 in the diagnosis, severity assessment, and prognosis of sepsis.

DESIGN AND METHODS

We included 147 sepsis patients, 50 patients with systemic inflammatory response syndrome (SIRS) and 120 healthy controls. Serum CXCL5 levels, inflammation scores (APACHE II, SOFA), and other laboratory indicators were recorded. Univariate and multivariate logistic regression analyses were conducted to assess the relationship between CXCL5 and sepsis diagnosis, severity, and prognosis. A prognostic nomogram was constructed and evaluated using receiver operator characteristic curves, calibration curves, and clinical decision curves.

RESULTS

Serum CXCL5 levels in sepsis patients were significantly higher than those in patients with SIRS and healthy controls. CXCL5 was identified as a risk factor for sepsis diagnosis. CXCL5 levels were significantly elevated in patients with septic shock (P = 0.04) and in deceased patients compared to survivors (P < 0.001). The prognostic model, incorporating CXCL5, lactate, APACHE II scores, C-reactive protein levels, and respiratory rate, demonstrated high predictive accuracy with an area under the curve of 0.873. Calibration and decision curve analyses demonstrated the model's good predictive performance and potential clinical value.

CONCLUSIONS

Serum CXCL5 concentration is a promising biomarker for enhancing the diagnostic accuracy and prognostic evaluation of sepsis. The constructed multivariate prediction model offers new insights into sepsis prognosis, but its direct application in clinical practice requires further validation.

D-dimer is a strong predictor of mortality in paediatric hematological-oncological patients with severe infections

OBJECTIVES

The purpose of this study was to explore the prognostic value of inflammatory biomarkers, including CRP, PCT, IL-6, IL-10,and the thrombotic biomarker D-dimer in predicting the development of severe infections and mortality in children with hematological malignancies.

METHODS

A retrospective observational study was performed from October 2018 to December 2020 at the Children's Hospital, Zhejiang University School of Medicine.It collected clinical data of pediatric patients diagnosed with hematological malignancies who experienced febrile illnesses. Blood samples were obtained within 24 h of fever onset to test for D-dimer, Fibrinogen, PT, APTT, CRP, PCT and serum cytokine levels.

RESULTS

Analysis revealed that with escalating infection severity, biomarkers such as CRP, PCT, IL-6, IL-10 and D-dimer progressively increased. The D-dimer level showed the highest accuracy (AUC of 0.930) in predicting mortality among children with severe infections. The combined analysis of IL-6 and D-dimer significantly improves the accuracy of prognosis in sepsis cases. A 60-day survival rate was lower for patients with D-dimer levels above 1.91 mg/L.

CONCLUSION

In conclusion, D-dimer levels have proven to be a reliable biomarker for predicting mortality in children with hematological malignancies experiencing severe infections.

Study of the Role of C-reactive Protein/Procalcitonin Ratio as a Prognostic Tool in ICU Patients with Sepsis: A Prospective Observational Study

Background

Prediction of prognosis in sepsis is an essential research area aiming to improve disease outcomes. In this study, we investigated the role of the C-reactive protein (CRP)/procalcitonin (PCT) ratio as a prognostic tool in sepsis patients.

Materials and methods

This prospective observational study was conducted at the intensive care unit (ICU) of Alexandria Main University Hospital in the period from January to June 2024. One hundred and seventy patients with a diagnosis of sepsis were enrolled. Sequential organ failure assessment (SOFA) score, acute physiology and chronic health evaluation (APACHEII) score and CRP/PCT ratio were calculated on admission (day 1), and as a follow-up on day 3. Patients were subsequently divided into survivor and non-survivor groups, and the data were compared.

Results

The CRP/PCT ratio was significantly lower, on admission and on follow-up, in non-survivor patients than in survivor patients. The ratio median (minimum-maximum) in non-survivors was 4.82 (1.51-23.28) vs 11.23 (1.85-136.7) in survivors on admission, and it was 7.37 (2.27-26.36) in non-survivors vs 11.37 (2.78-110.9) in survivors on day 3. The ratio was significantly lower in patients with septic shock than in non-septic shock patients. The ratio had a significant negative correlation with both SOFA and APACHEII scores. The receiver operating characteristic (ROC) curve showed high accuracy of the day 1 CRP/PCT ratio to predict mortality [area under curve (AUC = 0.835)], which is comparable to the day 1 SOFA score (AUC = 0.878) and higher than the day 1 PCT and day 1 APACHE scores.

Conclusion

Our results suggest a potential role for the CRP/PCT ratio, on admission and on follow-up, as a marker for predicting prognosis in sepsis patients, where low ratio values can predict poor disease outcome.

How to cite this article

Abdellatif EM, Hamouda EH. Study of the Role of C-reactive Protein/Procalcitonin Ratio as a Prognostic Tool in ICU Patients with Sepsis: A Prospective Observational Study. Indian J Crit Care Med 2024;28(12):1130-1138.

Evaluating the Diagnostic and Prognostic Value of Interleukin-6 (IL-6) and Soluble Triggering Receptor Expressed on Myeloid Cells-1 (sTREM-1) in Systemic Inflammatory Response Syndrome (SIRS) and Sepsis in Adults

INTRODUCTION

Sepsis and systemic inflammatory response syndrome (SIRS) are significant concerns in intensive care units and contribute significantly to patient mortality. Traditional diagnostic markers such as C-reactive protein (CRP) and procalcitonin (PCT) often lack the sensitivity and specificity needed for early diagnosis and prognosis. Consequently, more reliable biomarkers are needed. This study aimed to evaluate interleukin-6 (IL-6) and soluble triggering receptor expressed on myeloid cells-1 (sTREM-1) as potential biomarkers to improve diagnostic and prognostic capabilities in sepsis and SIRS.

METHODS

The study comprised 64 patients diagnosed with sepsis and SIRS, admitted to the Critical Care Department of the First University Clinic (Tbilisi, Georgia). Changes in the levels of CRP, PCT, IL-6, sTREM-1, and lactate were monitored over a five-day observation period, with measurements taken on days 0, 1, 2, 3, and 5.

RESULTS

We found a significant logarithmic relationship between sTREM-1 levels and Acute Physiology and Chronic Health Evaluation II (APACHE II) scores (r = 0.922, p < 0.001), suggesting that sTREM-1 could serve as a valuable biomarker for early risk stratification in sepsis. Furthermore, sTREM-1 exhibited strong correlations with IL-6 and lactate levels, underscoring its potential as a predictor of disease severity. While CRP and PCT were more useful in tracking disease progression over time, their baseline levels were less predictive of early outcomes.

CONCLUSION

Our findings highlight the potential of sTREM-1, IL-6, and lactate as early diagnostic and prognostic markers in sepsis, where sTREM-1 is a critical biomarker for identifying high-risk patients. Further studies with larger cohorts are required to validate these results and explore the sTREM-1 clinical utility in guiding therapeutic interventions in sepsis management.

The value of C-reactive protein velocity (CRPv) on mortality in sepsis patients who are emergently hospitalized in the ICU: A retrospective single-center study

Purpose

The C-reactive protein (CRP) velocity (CRPv) is an indicator of the change in CRP over time. In individuals with sepsis, the second values of CRP and CRPv have been shown to have more importance than the first CRP value measured at admission. This study examined the importance of CRPv for mortality among individuals who were hospitalized in the intensive care unit (ICU).

Methods

The study was conducted between January 2021 and December 2022. CRPv was calculated according to the change in the second CRP value compared to the first.

Results

The median age of the patients was 79 years (interquartile range (IQR), 69-85 years), and 53.2 % were male. The in-hospital mortality rate was 45.5 %. The presence of diabetes increased the odds of mortality by 2.17 times (confidence interval (CI): 1.06-4.4, p=0.032). Each increase in CRPv by 1 mg/dl/hour increased the odds of mortality by 1.07 times (CI: 1.01-1.14, p=0.015), while each one-point increase in the Sequential Organ Failure Assessment (SOFA) score increased the odds of mortality by 1.21 times (CI: 1.07-1.35, p=0.002). The SOFA score had the highest area under the curve (AUC) value for in-hospital mortality (AUC = 0.699 p=<0.001). When the SOFA was >7, its sensitivity in predicting mortality was 46.7 %, and its specificity was 85.1 %. The AUC value of CRPv in predicting mortality was 0.629 (p=0.006). When CRPv was >0.75, its sensitivity in predicting mortality was 68.2 %, and its specificity was 57 %.

Conclusion

CRPv performed well in predicting mortality and had satisfactory discriminative ability. Additionally, diabetes, SOFA score, and CRPv elevation were significant risk factors for mortality.

EFFICACY OF A SEPSIS CLINICAL DECISION SUPPORT SYSTEM IN IDENTIFYING PATIENTS WITH SEPSIS IN THE EMERGENCY DEPARTMENT

ABSTRACT

Background: Early prediction of sepsis onset is crucial for reducing mortality and the overall cost burden of sepsis treatment. Currently, few effective and accurate prediction tools are available for sepsis. Hence, in this study, we developed an effective sepsis clinical decision support system (S-CDSS) to assist emergency physicians to predict sepsis. Methods: This study included patients who had visited the emergency department (ED) of Taipei Tzu Chi Hospital, Taiwan, between January 1, 2020, and June 31, 2022. The patients were divided into a derivation cohort (n = 70,758) and a validation cohort (n = 27,545). The derivation cohort was subjected to 6-fold stratified cross-validation, reserving 20% of the data (n = 11,793) for model testing. The primary study outcome was a sepsis prediction ( International Classification of Diseases , Tenth Revision , Clinical Modification ) before discharge from the ED. The S-CDSS incorporated the LightGBM algorithm to ensure timely and accurate prediction of sepsis. The validation cohort was subjected to multivariate logistic regression to identify the associations of S-CDSS-based high- and medium-risk alerts with clinical outcomes in the overall patient cohort. For each clinical outcome in high- and medium-risk patients, we calculated the sensitivity, specificity, positive and negative predictive values, positive and negative likelihood ratios, and accuracy of S-CDSS-based predictions. Results: The S-CDSS was integrated into our hospital information system. The system featured three risk warning labels (red, yellow, and white, indicating high, medium, and low risks, respectively) to alert emergency physicians. The sensitivity and specificity of the S-CDSS in the derivation cohort were 86.9% and 92.5%, respectively. In the validation cohort, high- and medium-risk alerts were significantly associated with all clinical outcomes, exhibiting high prediction specificity for intubation, general ward admission, intensive care unit admission, ED mortality, and in-hospital mortality (93.29%, 97.32%, 94.03%, 93.04%, and 93.97%, respectively). Conclusion: Our findings suggest that the S-CDSS can effectively identify patients with suspected sepsis in the ED. Furthermore, S-CDSS-based predictions appear to be strongly associated with clinical outcomes in patients with sepsis.

C-reactive Protein Variation and Its Usefulness in the Prognostication and Monitoring of Patients With Pneumococcal Pneumonia

Background and objective Community-acquired pneumonia (CAP) is a prevalent and life-threatening infection that causes significant morbidity and mortality. Biomarkers, such as C-reactive protein (CRP), can help to diagnose, monitor, and prognose patients with this condition. This study aimed to analyze the disease course, the CRP peak concentration, its relationship with prognosis, and its variation in hospitalized patients with pneumococcal CAP. Methodology This study included 797 patients diagnosed with pneumococcal CAP and admitted over four years to four different Portuguese hospitals, either to the ICU or the general ward. Results Although CRP peak concentration was not a good predictor of overall hospital mortality, higher peak concentration in older patients (>60 years) was associated with a dismal hospital prognosis. In contrast, younger patients who survived hospital discharge had a non-significant higher peak CRP concentration. A faster time until CRP decreased to at least half of its peak value also correlated with favorable outcomes after adjusting for age and bacteremia [failure to achieve a 50% decrease was associated with an adjusted hazard ratio (HR) for hospital mortality of 6.45; 95% confidence interval (CI): 4.30-9.69]. Conclusions Based on our findings, CRP may be a useful biomarker in the hospital setting for diagnosing and monitoring patients with pneumococcal CAP. Clinicians must be aware of its unique properties, clinical applications, and varying behaviors according to patient age groups.

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

BACKGROUND

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.

METHODS

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.

RESULTS

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).

CONCLUSIONS

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.

Role of C-reactive Protein and Procalcitonin in Early Diagnostic Accuracy and Their Prognostic Significance in Sepsis

INTRODUCTION

Sepsis is a serious condition that often results in high fatality rates, particularly in intensive care units (ICUs). Its nonspecific clinical characteristics makes early diagnosis and therapy difficult, despite how critical they are. The use of biomarkers like procalcitonin (PCT) and C-reactive protein (CRP) in the diagnosis and prognosis of sepsis has demonstrated encouraging results. In contrast to PCT, which is highly selective for bacterial infections, CRP is an acute-phase protein that reflects systemic inflammation.

OBJECTIVE

This study aimed to assess the diagnostic accuracy and prognostic significance of CRP and PCT in early sepsis detection and outcome prediction.

METHODOLOGY

This study was a retrospective cohort study that involved 90 patients in the ICU who met the criteria for sepsis-3. CRP and PCT levels, clinical data, and outcomes were obtained from electronic medical records. The diagnostic accuracy was tested using receiver operating characteristic (ROC) curves, while the prognostic relevance was analyzed by Kaplan-Meier survival analysis and Cox proportional hazards regression.

RESULTS

The mean CRP level was 102.3 mg/L and PCT level was 5.4 ng/mL. ROC analysis revealed an area under the curve (AUC) of 0.78 for CRP and 0.82 for PCT, indicating better diagnostic performance for PCT. High levels of CRP and PCT were associated with poorer survival, with median survival times of 18 and 15 days, respectively, for high-level groups. Cox regression identified CRP and PCT as significant predictors of mortality, with hazard ratios of 1.50 and 1.68, respectively.

CONCLUSION

Both CRP and PCT are valuable biomarkers for diagnosing and prognosticating sepsis. PCT, with its higher specificity for bacterial infections, demonstrates superior diagnostic accuracy compared to CRP. Elevated levels of both biomarkers are associated with increased mortality risk, highlighting their potential role in early sepsis management and outcome prediction.

COVID-19 Related Acute Respiratory Distress Syndrome versus Classical Acute Respiratory Distress Syndrome Patients: Inflammatory Biomarkers as Predictors of Mortality in Pulmonary Septic Shock

Introduction and Objectives

Coronavirus disease-2019 (COVID-19)-related severe acute respiratory distress syndrome (ARDS) differs pathophysiological from other pulmonary septic shock-related ARDS. Thus, we assessed whether all-cause in-hospital mortality differs for severe COVID-19-related and classical severe ARDS and which inflammatory biomarkers can predict mortality among these patients.

Material and Methods

This single-center, retrospective, observational cohort study included pulmonary septic shock patients (n = 114) with COVID-19-related and classical severe ARDS admitted in the Intensive Care Unit.

Results

Patients with a mean age of 73 (IQR 62-82), predominantly male (63%), were divided into two groups based on outcomes: survivors (n = 50) and non-survivors (n = 64). COVID-19-related severe ARDS (n = 48) accounts for 75% of deaths. Present comorbidities like heart disease (p = 0.043), neurologic disorders (p = 0.018), and liver disease (p = 0.038) were associated with in-hospital mortality, as well. Regarding inflammatory biomarkers, the AUC/c-statistic was 0.656 (95% CI: 0.53-0.759) for leukocytes, 0.613 (95% CI: 0.509-0.717) C-reactive protein (CRP) and 0.651 (95% CI: 0.548-0.753) for procalcitonin in predicting all-cause in-hospital mortality among patients with pulmonary septic shock and severe ARDS.

Conclusion

Patients with pulmonary septic shock and with COVID-19-related severe ARDS had a higher incidence of in-hospital mortality than those with classical severe ARDS. The high value of leukocytes, C-reactive protein, and procalcitonin were predictive for all-cause in-hospital mortality in patients with pulmonary septic shock and ARDS. Infection with COVID-19 was an independent predictor of in-hospital mortality in the presence of ARDS.

L-valine derived from the gut microbiota protects sepsis-induced intestinal injury and negatively correlates with the severity of sepsis

Background

The protective role of gut microbiota and its metabolites against intestinal damage in sepsis patients remain unclear.

Methods

Fecal samples were acquired from patients categorized into sepsis and non-sepsis groups for analysis of microbial composition via 16S rRNA sequencing and untargeted metabolomics analysis. We assessed the impact of gut microbiota from sepsis patients on intestinal barriers in antibiotic-treated mice. Furthermore, We conducted spearman's correlation analysis to examine the relationship between metabolites and the severity of sepsis. Additionally, we performed animal experiments to validate the functionality of identified metabolites.

Results

The diversity of intestinal flora is decreased in patients with sepsis compared to the control group. Through fecal microbiota transplantation experiments, it was discovered that the gut microbiota derived from sepsis patients could induce intestinal damage in antibiotic-treated mice. Metabolomics analysis of the microbiota revealed a significant enrichment of the Valine, leucine, and isoleucine biosynthesis pathway. Further analysis showed a significant decrease in the abundance of L-valine in sepsis patients, which was negatively correlated with APACHE-II and SOFA scores. In sepsis mouse experiments, it was found that L-valine could alleviate sepsis-induced intestinal damage.

Conclusion

Alterations in microbial and metabolic features in the gut can affect the severity of sepsis. Furthermore, L-valine can protect against sepsis-induced intestinal injury.

Immune profile of patients‑a new approach in management of sepsis and septic shock?

The present study was a prospective observational single center study, enrolling 102 patients with sepsis, admitted in the Intensive Care Unit of the County Emergency Clinical Hospital in Târgu Mureș (Mureș, Romania). The main goal of the present study was to compare the changes of the following parameters on day 1 compared with day 5, in sepsis compared with septic shock, as well as in survivors compared with non-survivors: Cell blood count parameters, neutrophil-lymphocyte ratio, platelet-lymphocyte ratio and systemic inflammation index, C reactive protein (CRP), ferritin, procalcitonin (PCT), CD 3+ T cells, CD4+ T cells, CD8+ T cells, CD16+CD56+/CD3-NK cells and CD19+ B cells. The relationship between the subcategories of lymphocytes with the inflammatory markers was evaluated. The serum concentration of CRP and PCT was significantly lower on day 5 compared with day 1 and serum ferritin was significantly higher in patients with septic shock. The percentage of cytotoxic T lymphocytes was significantly decreased and the percentage of NK lymphocytes was significantly increased in patients who developed septic shock. The results indicated a negative significant correlation between the proportion of T lymphocytes and PCT concentration and a positive significant correlation between the proportion of B lymphocytes and PCT concentration.

LASSO-Based Identification of Risk Factors and Development of a Prediction Model for Sepsis Patients

OBJECTIVE

The objective of this study was to utilize LASSO regression (Least Absolute Shrinkage and Selection Operator Regression) to identify key variables in septic patients and develop a predictive model for intensive care unit (ICU) mortality.

METHODS

We conducted a cohort consisting of septic patients admitted to the ICU between December 2016 and July 2019. The disease severity and laboratory index were analyzed using LASSO regression. The selected variables were then used to develop a model for predicting ICU mortality. AUCs of ROCs were applied to assess the prediction model, and the accuracy, sensitivity and specificity were calculated. Calibration were also used to assess the actual and predicted values of the predictive model.

RESULTS

A total of 1733 septic patients were included, among of whom 382 (22%) died during ICU stay. Ten variables, namely mechanical ventilation (MV) requirement, hemofiltration (HF) requirement, norepinephrine (NE) requirement, septicemia, multiple drug-resistance infection (MDR), thrombocytopenia, hematocrit, red-cell deviation width coefficient of variation (RDW-CV), C-reactive protein (CRP), and antithrombin (AT) III, showed the strongest association with sepsis-related mortality according to LASSO regression. When these variables were combined into a predictive model, the area under the curve (AUC) was found to be 0.801. The AUC of the validation group was 0.791. The specificity of the model was as high as 0.953. Within the probability range of 0.25 to 0.90, the predictive performance of the model surpassed that of individual predictors within the cohort.

CONCLUSION

Our findings suggest that a predictive model incorporating the variables of MV requirement, HF requirement, NE requirement, septicemia, MDR, thrombocytopenia, HCT, RDW-CV, CRP, and AT III exhibiting an 80% likelihood of predicting ICU mortality in sepsis and demonstrates high accuracy.