High serum procalcitonin concentrations in patients with sepsis and infection

Sepsis in liver failure patients: Diagnostic challenges and recent advancements

Acute liver failure (ALF) and acute-on-chronic LF (ACLF) are prevalent hepatic emergencies characterized by an increased susceptibility to bacterial infections (BI), despite significant systemic inflammation. Literature indicates that 30%–80% of ALF patients and 55%–81% of ACLF patients develop BI, attributed to immunological dysregulation. Bacterial sepsis in these patients is associated with adverse clinical outcomes, including prolonged hospitalization and increased mortality. Early detection of bacterial sepsis is critical; however, distinguishing between sterile systemic inflammation and sepsis poses a significant challenge due to the overlapping clinical presentations of LF and sepsis. Conventional sepsis biomarkers, such as procalcitonin and C-reactive protein, have shown limited utility in LF patients due to inconsistent results. In contrast, novel biomarkers like presepsin and sTREM-1 have demonstrated promising discriminatory performance in this population, pending further validation. Moreover, emerging research highlights the potential of machine learning-based approaches to enhance sepsis detection and characterization. Although preliminary findings are encouraging, further studies are necessary to validate these results across diverse patient cohorts, including those with LF. This article provides a comprehensive review of the magnitude, impact, and diagnostic challenges associated with BI in LF patients, focusing on novel advancements in early sepsis detection and characterization.

New mechanisms and therapeutic approaches to regulate vascular permeability in systemic inflammation

PURPOSE OF REVIEW

This review summarizes mechanisms that regulate endothelial vascular permeability in health and disease. In systemic inflammation, the endothelial barrier integrity is disrupted, which exacerbates vascular permeability, leading to organ failure and death. Herein we provide an overview of emerging therapeutic targets to reverse barrier dysfunction and preserve vascular permeability in inflammatory diseases like sepsis.

RECENT FINDINGS

Endothelial barrier function is regulated in part by the endothelial cell-specific protein, Roundabout 4 (ROBO4), and vascular endothelial (VE)-cadherin, a critical adherens junction protein, which act in concert to suppresses vascular permeability by stabilizing endothelial cell-cell interactions. We recently discovered a pathway by which activation of coagulation factor XI (FXI) enhances the cleavage of VE-cadherin by the metalloproteinase ADAM10, contributing to sepsis-related endothelial damage and loss of barrier function. Targeting FXI improved survival and reduced sVE-cadherin levels in a baboon model of sepsis while enhancing Robo4 expression decreased mortality in LPS-treated mice.

SUMMARY

Endothelial cell barrier dysfunction is a hallmark of excessive immune responses characteristic of systemic inflammatory diseases such as sepsis. Advances in understanding the molecular mechanisms regulating vascular permeability, for instance the newly discovered roles of FXI or ROBO4, may help identify novel therapeutic targets for mitigating vascular hyperpermeability in septic patients.

Procalcitonin and C-reactive protein as early diagnostic markers of sepsis or septic shock in children who presented with fever to the pediatric emergency department at a tertiary hospital, in Riyadh, Saudi Arabia

BACKGROUND

Sepsis is a leading cause of morbidity and mortality in children, requiring early recognition for timely intervention. Traditional biomarkers like C-reactive protein (CRP) are widely used but have limitations in specificity and early detection. Procalcitonin (PCT) has emerged as a promising alternative for differentiating bacterial infections from viral illnesses. This study aims to evaluate the diagnostic performance of PCT and CRP in identifying sepsis among febrile pediatric patients presenting to the emergency department (ED).

METHODS

We conducted a retrospective, observational study at a tertiary hospital from January 2022 to January 2024. A total of 208 children aged 1 month to 14 years with fever (≥ 38 °C) were included. Patients were categorized into sepsis (n = 84) and non-sepsis (n = 124) groups based on clinical assessment and blood culture results. Biomarker levels, patient demographics, clinical outcomes, and disposition were analyzed.

RESULTS

Elevated PCT and CRP levels were significantly associated with sepsis. PCT demonstrated earlier elevation compared to CRP, correlating with higher rates of PICU admission (34.7% vs. 11.1%, p < 0.001). Blood culture positivity was a strong predictor of severe sepsis (OR: 9.369, p < 0.0003). Logistic regression identified high-grade fever, chronic disease, and viral co-infections as additional risk factors.

CONCLUSION

PCT is a superior early biomarker for detecting invasive bacterial infections compared to CRP. Incorporating PCT in sepsis protocols can improve early diagnosis, guiding prompt and appropriate management in pediatric ED settings.

Use of procalcitonin in therapeutic decisions in the pediatric intensive care unit

Procalcitonin (PCT) is frequently used by clinicians in children with suspected bacterial infections and sepsis. However interpretation in the critically ill child may be challenging due to the complexity of underlying conditions and its impact on PCT values. Herein, we propose a guidance for the use of procalcitonin in critically ill children, supported by a comprehensive analysis of the literature, to help the clinician for interpreting PCT in the various clinical conditions encountered in pediatric intensive care units. We describe the importance of the clinical context, timing of measurement and evidence on PCT values in diagnosing sepsis and to guide antibiotic therapy in critically ill children.

Development of a neural network model for early detection of creatinine change in critically Ill children

Introduction

Renal dysfunction is common in critically ill children and increases morbidity and mortality risk. Diagnosis and management of renal dysfunction relies on creatinine, a delayed marker of renal injury. We aimed to develop and validate a machine learning model using routinely collected clinical data to predict 24-hour creatinine change in critically ill children before change is observed clinically.

Methods

Retrospective cohort study of 39,932 pediatric intensive care unit encounters in a national multicenter database from 2007 to 2022. A neural network was trained to predict <50% or ≥50% creatinine change in the next 24 h. Admission demographics, routinely measured vital signs, laboratory tests, and medication use variables were used as predictors for the model. Data set was randomly split at the encounter level into model development (80%) and test (20%) sets. Performance and clinical relevance was assessed in the test set by accuracy of prediction classification and confusion matrix metrics.

Results

The cohort had a male predominance (53.8%), median age of 8.0 years (IQR 1.9-14.6), 21.0% incidence of acute kidney injury, and 2.3% mortality. The overall accuracy of the model for predicting change of <50% or ≥50% was 68.1% (95% CI 67.6%-68.7%). The accuracy of classification improved substantially with higher creatinine values from 29.9% (CI 28.9%-31.0%) in pairs with an admission creatinine <0.3 mg/dl to 90.0-96.3% in pairs with an admission creatinine of ≥0.6 mg/dl. The model had a negative predictive value of 97.2% and a positive predictive value of 7.1%. The number needed to evaluate to detect one true change ≥50% was 14.

Discussion

24-hour creatinine change consistent with acute kidney injury can be predicted using routine clinical data in a machine learning model, indicating risk of significant renal dysfunction before it is measured clinically. Positive predictive performance is limited by clinical reliance on creatinine.

Procalcitonin: Infection or Maybe Something More? Noninfectious Causes of Increased Serum Procalcitonin Concentration: Updated Knowledge

Procalcitonin (PCT) is a precursor of calcitonin, and its determination is used in daily clinical practice. It is a good marker for bacterial infection and can help diagnose sepsis. In this review, we summarize recent findings on the utility of PCT serum concentration measurement in noninfectious conditions. We found that elevated PCT levels may help in diagnosing or monitoring the course of cancer or inflammatory diseases. An increase was observed in emergency care such as acute renal failure or injuries, which may be promising in estimating the risk of complications. PCT has the potential to become a useful and clinically relevant marker beyond the assessment of bacterial infection. Due to its limited specificity, therapeutic decisions should be based on an individual evaluation of each clinical case.

GRADE-based procalcitonin guideline for emergency departments

Procalcitonin is a useful biomarker for infection. Over the past two decades, there has been much research on the clinical applications of procalcitonin, yet the majority of these studies have been conducted in the intensive care setting. Despite the extensive use of procalcitonin in emergency departments, there have been no guidelines focusing specifically on these clinical settings. Additionally, previous guidelines were predominantly shaped by expert consensus and rarely incorporate evidence-based medicine concepts. To address these shortcomings, the current guideline adopts a novel approach. Initially, we identified the most critical questions regarding the use of procalcitonin in emergency settings through expert voting. This was followed by a systematic literature review and the evaluation of evidence levels using the GRADE (Grading of Recommendations, Assessment, Development, and Evaluation) methodology. Key characteristics of individual studies will be summarized and evaluated by the guideline development group to determine the overall quality of evidence. The GRADE working group's categorization system will be employed to rate evidence quality into four levels. Recommendations will be formulated based on explicit consideration of established criteria. This structured approach ensures that guideline recommendations are founded on robust evidence and transparently assessed for strength and potential caveats. This is the first guideline on the use of procalcitonin to be applied in emergency departments that adopts the principles of evidence-based medicine and encompasses the up-to-date literatures, and it marks an advancement in providing guidance on the utilization of procalcitonin in emergency departments.

Surface triggering receptor expressed on myeloid cells-1 (sTREM1) in critically ill children: a prospective observational controlled study

BACKGROUND

In children admitted to the pediatric intensive care unit (PICU), early detection of risk factors and alarming indicators improves the prognosis and may even save lives. Several prognostic markers and scores have been studied in children who are seriously ill. Recently, surface triggering receptor expressed on myeloid cells-1 (sTREM1) has been studied in many infectious and non-infectious settings; however, there is little information on critically ill children. Our aim is to evaluate the sTREM1 level in critically ill children and assess its prognostic role.

METHOD

A prospective observational study was conducted in a tertiary care hospital. 70 critically ill children and 50 healthy controls were enrolled in the study. Demographic, clinical, and laboratory data were obtained. sTREM1 level was assessed on admission to the PICU. Patients with conditions affecting immunity were excluded. The primary outcome was to assess the level of sTREM1 in both patients and controls. Secondary outcomes were mortality, morbidities as sepsis, need for mechanical ventilation, and PICU stay.

RESULTS

The level of sTREM1 was significantly higher in patients than in controls (850 pg/mL, interquartile range [IQR] 510.0- 1375.0 vs. 67.5 pg/mL, IQR 40.0- 85.0; p.

Predictive value of serum procalcitonin level for the diagnosis of bloodstream infections in hematological patients

OBJECTIVES

Procalcitonin (PCT) is a critical diagnostic biomarker for bacterial infections in patients. Numerous studies have shown that PCT have high sensitivity and specificity for diagnosing bloodstream infection. However, the cut-off value of PCT for the diagnosis of bloodstream infections in patients with hematolgic diseases is still unclear and unreliable.

METHODS

We conducted a retrospective study involving 2299 cases with hematological diseases and who had been performed blood culture and PCT test within 24 h.

RESULTS

For patients with hematological diseases, the serum PCT was slightly elevated in the BSI group. We found that most hematological patients with bloodstream infection were in the stage of severe neutropenia. The main infected strains were Escherichia coli (n = 84, 21%), Klebsiella pneumoniae (n = 61, 15.25%) and Pseudomonas aeruginosa (n = 65, 16.25%), and the increasing trend of PCT level was more obvious in patients infected with Gram-negative bacteria. ROC analysis results showed that the area under the receiver operating characteristic curve for distinguishing bacterial infection from non-bacterial infection was 0.554 (95%CI: 0.522-0.585) with the diagnostic threshold of BSI (PCT > 0.5ng/mL).

CONCLUSIONS

In our study, low PCT levels were found in patients with hematological diseases, and a better cut-off value may be necessary to determine infection in hematology patients.

Procalcitonin as an Early Predictive Marker for Infectious Complications after Hepatectomy

INTRODUCTION

The present study aimed to determine the clinical value of serum procalcitonin (PCT) level in predicting postoperative infections after hepatectomy.

METHODS

Medical records of 301 consecutive patients who underwent hepatectomy were retrospectively reviewed. We divided the patients into infection-positive and infection-negative groups. We investigated the changes in perioperative inflammatory markers such as C-reactive protein level (CRP) and PCT level. Associations between infectious complications and perioperative inflammatory markers were evaluated to identify predictive factors of infectious complications after hepatectomy.

RESULTS

Postoperative infectious complications occurred in 67 (22.3%) patients. The areas under the curve (AUCs) using PCT levels on postoperative days (PODs) 1 and 3 were 0.794 and 0.845, respectively, whereas those using CRP were 0.493 and 0.641, respectively. PCT level had a better AUC than CRP for predicting postoperative infectious complications on PODs 1 and 3. Multivariate analysis indicated PCT levels on PODs 1 and 3 were an independent predictor of infectious complications after hepatectomy.

CONCLUSION

PCT is the only predictive marker for infectious complications after hepatectomy and is valuable for detecting infectious complications from POD 1.

INTRODUCTION

The present study aimed to determine the clinical value of serum procalcitonin (PCT) level in predicting postoperative infections after hepatectomy.

METHODS

Medical records of 301 consecutive patients who underwent hepatectomy were retrospectively reviewed. We divided the patients into infection-positive and infection-negative groups. We investigated the changes in perioperative inflammatory markers such as C-reactive protein level (CRP) and PCT level. Associations between infectious complications and perioperative inflammatory markers were evaluated to identify predictive factors of infectious complications after hepatectomy.

RESULTS

Postoperative infectious complications occurred in 67 (22.3%) patients. The areas under the curve (AUCs) using PCT levels on postoperative days (PODs) 1 and 3 were 0.794 and 0.845, respectively, whereas those using CRP were 0.493 and 0.641, respectively. PCT level had a better AUC than CRP for predicting postoperative infectious complications on PODs 1 and 3. Multivariate analysis indicated PCT levels on PODs 1 and 3 were an independent predictor of infectious complications after hepatectomy.

CONCLUSION

PCT is the only predictive marker for infectious complications after hepatectomy and is valuable for detecting infectious complications from POD 1.

Risk factors for the mortality of hemodialysis patients with COVID-19 in northern Hunan province, China

PURPOSE

Exploring the risk factors for mortality of hemodialysis patients undergoing COVID-19 and the changes in mortality before and after the opening of the epidemic in northern Hunan province, China.

METHODS

We analyzed 230 hemodialysis patients with COVID-19 in the Yiyang Central Hospital from November 01, 2022 to February 28, 2023. Demographic data, laboratory data and public diseases were collected. Cox regression analysis was used to identify risk factors and independent predictors of mortality. The receiver operating characteristic (ROC) curve was used to determine the diagnostic value of risk factors in hemodialysis COVID-19 patients.

RESULTS

The average duration of the disease was 12.53 days. The mortality rate in our cohort was 28.70%. Independent predictors of mortality in our cohort were: age (hazard ratio [HR] 1.09; 95% confidence interval [CI], 1.05-1.14; P < 0.001), elevated procalcitonin (PCT) levels (HR 1.02; 95%CI, 1.01-1.03; P < 0.001), and higher white blood cell-neutrophil ratio (NWR) (HR 1.04; 95%CI, 1.04-1.07; P = 0.004). Areas under the ROC curve (AUC) for age, NWR, PCT, age*NWR were 0.70 (95%CI: 0.62-0.77), 0.82 (95%CI: 0.75-0.90), 0.64 (95%CI: 0.55-0.73), and 0.89 (0.85,0.94).

CONCLUSION

We discovered that old age, high levels of NWR and PCT might be predictors of mortality, reported the causes and prognostic predictors of mortality in hemodialysis populations with COVID-19 from northern Hunan, China.

Paper-Based procalcitonin and Interleukin-6 test strip with Spectrum-Based optical reader for enterovirus severity differentiation in children

Infectious diseases significantly impact global health, necessitating prompt diagnosis to mitigate life-threatening sepsis risk. Identifying patients at risk of severe neurological complications from enterovirus infections is challenging due to nonspecific initial presentations. Point-of-care testing (POCT) has emerged as a transformative tool, with low-cost lateral-flow colorimetric assays showing promise in deployable POCT devices. We developed a PCT/IL-6 rapid diagnostic system integrating lateral flow assay (LFA) test strips and a portable optical spectrum reader, allowing simultaneous semi-quantitative measurement of serum PCT and IL-6 within 30 min at the point of care. The system demonstrated a strong correlation with traditional ELISA and effectively differentiated severe pediatric enterovirus cases using serum samples. IL-6 showed superior discriminatory ability over PCT in identifying patients with severe neurological complications. This novel diagnostic platform holds great potential for early sepsis recognition and infectious disease management, especially in resource-limited settings.

Role of serum procalcitonin in differentiating disease flare and systemic bacterial infection among febrile children with known chronic rheumatic diseases: a cross-sectional study

OBJECTIVES

To evaluate the role of serum procalcitonin (PCT) as a diagnostic tool to differentiate bacterial sepsis from flare-ups during febrile episodes in children with known rheumatic disorders compared to other inflammatory markers like C-reactive protein (CRP), and erythrocyte sedimentation rate (ESR).

METHODS

Previously diagnosed patients with known rheumatic disorders presenting in emergency or outpatient departments with febrile episodes were included in the study. Blood samples were collected upon admission to test for signs of infection, including serum PCT levels with routine laboratory and radiological tests. Patients with juvenile idiopathic arthritis (JIA) and systemic lupus erythematosus (SLE) were stratified using the Juvenile Arthritis Disease Activity Score (JADAS-27) and SLE Disease Activity Index (SLEDAI) respectively. Patients without bacterial focus with high disease activity were included in the flare-up group and the rest in the sepsis cohort. The diagnostic value of PCT was calculated using receiver operating characteristic (ROC) curve analysis.

RESULTS

In the study (N=73), 41 (56.2%) patients were previously diagnosed with JIA and 28 (38.3%) had SLE. 38 patients had definite evidence of sepsis and 35 had disease flare-ups as per respective disease activity scores. There was a significant difference in PCT and CRP among the flare-up and sepsis groups. For detecting sepsis, the area under curve (0.959), sensitivity (94.7%), and specificity (74.3%) of PCT at a cut-off of 0.275 ng/mL were significantly better than those of CRP.

CONCLUSION

PCT is a better diagnostic test than CRP or ESR during febrile episodes in differentiating flare-ups from infection and PCT >0.275 ng/mL indicates bacterial infection with good specificity and sensitivity in children with low disease activity.

Predicting Severe Respiratory Failure in Patients with COVID-19: A Machine Learning Approach

Background/Objectives: Studies attempting to predict the development of severe respiratory failure in patients with a COVID-19 infection using machine learning algorithms have yielded different results due to differences in variable selection. We aimed to predict the development of severe respiratory failure, defined as the need for high-flow oxygen support, continuous positive airway pressure, or mechanical ventilation, in patients with COVID-19, using machine learning algorithms to identify the most important variables in achieving this prediction. Methods: This retrospective, cross-sectional study included COVID-19 patients with mild respiratory failure (mostly receiving oxygen through a mask or nasal cannula). We used XGBoost, support vector machines, multi-layer perceptron, k-nearest neighbor, random forests, decision trees, logistic regression, and naïve Bayes methods to accurately predict severe respiratory failure in these patients. Results: A total of 320 patients (62.1% male; average age, 54.67 ± 15.82 years) were included in this study. During the follow-ups of these cases, 114 patients (35.6%) required high-level oxygen support, 67 (20.9%) required intensive care unit admission, and 43 (13.4%) died. The machine learning algorithms with the highest accuracy values were XGBoost, support vector machines, k-nearest neighbor, logistic regression, and multi-layer perceptron (0.7395, 0.7395, 0.7291, 0.7187, and 0.75, respectively). The method that obtained the highest ROC-AUC value was logistic regression (ROC-AUC = 0.7274). The best predictors of severe respiratory failure were a low lymphocyte count, a high computed tomography score in the right and left upper lung zones, an elevated neutrophil count, a small decrease in CRP levels on the third day of admission, a high Charlson comorbidity index score, and a high serum procalcitonin level. Conclusions: The development of severe respiratory failure in patients with COVID-19 could be successfully predicted using machine learning methods, especially logistic regression, and the best predictors of severe respiratory failure were the lymphocyte count and the degree of upper lung zone involvement.

Incidental diagnosis of medullary thyroid microcarcinoma in COVID-19 patient with elevated procalcitonin levels

A 38-year-old male patient was admitted to the Medical Intensive Care Unit during the second wave of the coronavirus disease (COVID-19) pandemic presenting with fever, headache, muscle pain, and cough. The low-dose chest computed tomography (CT) result was normal, but an increased serum level of procalcitonin (PCT) was detected. Due to COVID-19, pronounced symptoms, and increased inflammatory markers, empiric antibiotic therapy was started. PCT level remained elevated despite 7 days of antimicrobial treatment. Hence, the diagnostic evaluation of the patient was expanded, and we identified medullary thyroid microcarcinoma. After diagnosis, a total thyroidectomy with cervical lymph node resection was performed, and the patient was discharged with oral levothyroxine. Control measurements of serum calcitonin and 18F-fluorodihydroxyphenylalanine positron emission tomography (18F-PET/CT) showed cervical and mediastinal lymph node metastases. Beside surgical treatment, the patient was not motivated for any adjuvant therapy and no new lesions were detected on control PET/CT two years after. In conclusion, clinicians should also consider malignancies such as medullary thyroid carcinoma as a potential cause of increased PCT levels, and as a next step should measure serum calcitonin level and perform neck ultrasound.

Utility of C-reactive protein and procalcitonin in community-acquired pneumonia in children: a narrative review

The purpose of this narrative review is to analyze the most recent studies about the role of C-reactive protein (CRP) and procalcitonin (PCT), two of the main biomarkers of infection, in distinguishing viral from bacterial etiology, in predicting the severity of infection and in guiding antibiotic stewardship in children with community-acquired pneumonia (CAP). The studies examined reveal that both CRP and PCT play a valuable role in diagnosing pediatric CAP, though each has limitations. CRP has moderate accuracy in distinguishing bacterial from viral infections, but its elevated levels are not exclusive to bacterial infections; PCT, however, shows higher specificity for bacterial CAP, with studies confirming its ability to differentiate bacterial causes, especially in severe cases. When integrated with clinical findings, CRP and PCT improve the sensitivity of pneumonia diagnoses and help in predicting severe outcomes such as sepsis and empyema; furthermore, both biomarkers prove useful in guiding antibiotic therapy, with PCT showing a more dynamic response to treatment. However, even though CRP and PCT offer valuable insights into the diagnosis and management of pediatric CAP, their application should be always integrated with clinical assessment rather than used in isolation. More studies are needed to define standardized thresholds and decision algorithms that incorporate these biomarkers.

Urinary Tract Infections Detection with Molecular Biomarkers

Urinary tract infection (UTI) is the most prevalent kind of pathogenic bacteria infection, and the midstream urine culture is regarded as the gold standard in UTI diagnosis. Recently, even with modern media and techniques such as polymerase chain reaction (PCR), urinary cultures still create a considerable workload for hospital laboratories. Other UTI-detecting methods, such as flow cytometry and lateral flow immunoassay, suffer from various drawbacks like long time consumption and low sensitivity. Therefore, looking for reliable biomarkers in UTI is urgently needed. In this review, the current definitions of UTI can be basically divided into two main categories: uncomplicated UTI and complicated UTI. In light of anatomical sites, it can be classified as either lower UTI or upper UTI. We take the classification of UTI as a clue and review the reported extensive literature to classify the existing studied markers into the following three categories: Biomarkers used clinically; Promising biomarkers; and Controversial biomarkers. Particularly, the nucleic acid-associated, metabolomic, and lipidomic biomarkers are highlighted. At the end, we discuss the challenges and prospects of biomarkers in UTI, hoping to further inspire the diagnosis of UTI.

Blood levels of zearalenone, thyroid-stimulating hormone, and thyroid hormones in patients with colorectal cancer

Mycotoxins are secondary metabolites produced by various species of mold fungi commonly found in plant materials. Zearalenone (ZEN) adversely affects the endocrine system. This study aimed to determine whether thyroid-stimulating hormone (TSH), procalcitonin (PCT), free triiodothyronine (fT3), and free thyroxine (fT4) levels are altered during natural zearalenone mycotoxicosis in patients diagnosed with sigmoid colon cancer (SCC) or colorectal cancer (CRC). A study was conducted on women and men diagnosed with SCC or CRC accompanied by the presence or absence (Patients Without ZEN - PWZ group) of ZEN in the blood. The PWZ group consisted of 17 patients with symptoms of SCC and CRC in whom ZEN and its metabolites were not detected in peripheral blood. The experimental (empirical) groups included a total of 16 SCC and CRC patients who tested positive for ZEN, but not its metabolites. TSH values in both sexes were within the upper limit of the reference range (0.27-4.2 μIU/mL) adopted by the hospital laboratory and corresponded to the upper second tertile and the lower third tertile. PCT values demonstrated that SCC and CRC were accompanied by a systemic or local bacterial infection. All mean values of fT3 were in the middle of the reference range, and the mean values of fT4 were within the upper reference limit. The fT3/fT4 prognostic marker was somewhat above the cut-off point of 0.22. These results indicate that in postmenopausal women and andropausal men who were diagnosed with SCC and CRC and were exposed to food-borne ZEN, higher values of the prognostic marker (fT3/fT4) were associated with an unfavorable prognosis. The study also revealed that the more distal the neoplastic lesions in the colon, the higher the percentage of both thyroid hormones, regardless of the patient's sex. The presence of ZEN in the diet alters thyroid activity in patients diagnosed with SCC and CRC.

Diagnostic performance of procalcitonin for bacterial infection in severe alcoholic hepatitis compared with C-reactive protein

BACKGROUND

Severe alcoholic hepatitis is a catastrophic disease with a mortality rate of up to 35-50% at 30 days. Bacterial infection is an important prognostic factor in patients with severe alcoholic hepatitis, but it is difficult to detect the presence of infection immediately. Procalcitonin (PCT) is a well-known inflammatory marker that can detect bacterial infections in various diseases early. Therefore, we aimed to evaluate the diagnostic accuracy of PCT for bacterial infection in severe alcoholic hepatitis.

METHODS

We prospectively enrolled patients with severe alcoholic hepatitis, defined as modified Maddrey's Discriminant Function ≥ 32, from 10 medical centers. At admission, we performed an initial evaluation including physical examination, laboratory test, radiology, blood and urine culture, PCT, and C-reactive protein (CRP). We compared the receiver operating characteristic (ROC) curves of PCT and CRP for bacterial infection, systemic inflammatory response syndrome (SIRS), and sepsis among total patients.

RESULTS

A total of 108 patients with severe alcoholic hepatitis were enrolled. The number of bacterial infections, SIRS, and sepsis were 31 (28.7%), 41 (38.0%), and 19 (17.6%), respectively. The patients with bacterial infection had significantly higher MELD scores (24.0 vs. 15.0), PCT levels (1.5 vs. 0.4 ng/mL), and CRP levels (4.9 vs. 2.5 mg/dL) compared to those without bacterial infection. The area under the ROC curve (AUROC) of PCT vs. CRP for bacterial infection was 0.752 and 0.655, respectively (P = 0.113). The AUROC of PCT vs. CRP for SIRS was 0.699 and 0.662, respectively (P = 0.490). The AUROC of PCT vs. CRP for sepsis was 0.780 and 0.630, respectively (P = 0.027).

CONCLUSIONS

Among patients with severe alcoholic hepatitis, PCT showed a trend of superior diagnostic performance in the early detection of bacterial infection and sepsis compared to CRP. Although PCT might have better potential to diagnose sepsis in the setting of severe alcoholic hepatitis, it is necessary to find more reliable diagnostic markers.

Procalcitonin Guided Antibiotic Stewardship

Despite infection and sepsis being a major public health challenge, early detection and timely management are often hindered by several factors. These includes the similarity of clinical presentations between infectious and non-infectious conditisons, as well as limitations of current diagnostic methods such as lengthy turnaround times and low sensitivity. Consequently, there is increasing interest in identifying biomarkers that can quickly and accurately differentiate bacterial sepsis from other inflammatory processes, whether infectious or non-infectious. Procalcitonin has emerged as one of the most extensively studied and utilized biomarkers in managing infection and sepsis, especially within the framework of antibiotic stewardship. This review aims to examine the role of Procalcitonin in guiding antibiotic stewardship. It explores the production and release of procalcitonin and its relevance in the context of infection and sepsis. The discussion focus on the clinical and economic impacts of using procalcitonin to guide the initiation and discontinuation of antibiotics in managing these conditions.

Serum C-reactive protein and procalcitonin levels in patients with pneumonia and anastomotic leakage in the postoperative period after esophagectomy

OBJECTIVE

Despite being a less-invasive procedure, esophagectomy can cause severe infectious complications, such as pneumonia and anastomotic leakage. Herein, we aimed to clarify the inflammatory characteristics of pneumonia/anastomotic leakage after esophagectomy by assessing the difference between the postoperative trends of serum C-reactive protein (CRP) and procalcitonin (PCT) levels in patients with pneumonia/anastomotic leakage using the values on the consecutive postoperative day (POD).

METHODS

This study included 439 patients who underwent minimally invasive esophagectomy. Serum CRP and PCT levels were measured on PODs 1-7, 10, and 14. Pneumonia and anastomotic leakage were defined as Clavien-Dindo grades ≥ 2.

RESULTS

Pneumonia and anastomotic leakage occurred in 96 and 51 patients, respectively. The CRP and PCT levels peaked on POD 3 (11.6 ± 6.8 mg/dL) and POD 2 (0.69 ± 2.9 ng/mL), respectively. Between PODs 3 and 14, CRP levels were significantly higher in patients with pneumonia and anastomotic leakage than in those without complications (P < 0.001). Between PODs 3 and 14, PCT levels were significantly higher in patients with pneumonia; however, on most PODs, there were no significant differences in PCT levels between patients with and without anastomotic leakage.

CONCLUSION

Inflammatory reactions caused by pneumonia may be more intense than those caused by anastomotic leakage after esophagectomy. Postoperative trends in serum CRP and PCT levels may vary depending on the complication type. Pneumonia and anastomotic leakage after esophagectomy can be potentially distinguished by the postoperative trend of PCT values before detailed examinations, such as computed tomography and endoscopy.

Review: Diagnostic Potential for Collaborative Pharyngitis Biomarkers

Pharyngitis is an inflammatory condition of the pharynx and/or tonsils commonly seen in both children and adults. Viruses and bacteria represent the most common encountered etiologic agents-yeast/fungi and parasites are infrequently implicated. Some of these are predominantly observed in unique populations (eg, immunocompromised or unvaccinated individuals). This manuscript (part 3 of 3) summarizes the current state of biomarker diagnostic testing and highlights the expanding role they will likely play in the expedited diagnosis and management of patients with acute pharyngitis. Biomarkers, in conjunction with rapid antigen and/or nucleic acid amplification testing, will likely become the standard of care to accurately diagnose the etiologic agent(s) of pharyngitis. This novel testing paradigm has the potential to guide appropriate patient management and antibiotic stewardship by accurately determining if the cause of pharyngitis is due to a viral or bacterial etiology.

Procalcitonin in inflammatory bowel disease: A diagnostic or prognostic marker

Serological biomarkers have been rapidly progressing as non-invasive tests for the early detection of inflammatory bowel disease (IBD). Procalcitonin (PCT) is a novel acute-phase reactant protein that is elevated in the inflammatory process, especially in bacterial infections. This study aimed to review the diagnostic value of PCT in IBD activity. However, there were controversies about the role of PCT in the detecting of IBD disease activity. Studies showed varied diagnostic cut-points (ranging from 0.13 to 1.0 ng/dl) and sensitivity up to 93 %. Although the clear role of PCT as a valuable diagnostic marker was not identified in determining disease activity, PCT measurement in addition to other inflammatory markers can improve the diagnostic value of these markers. Moreover, further studies are required to confirm PCT's value in distinguishing IBD disease activity.

Research progress of biomarkers in evaluating the severity and prognostic value of severe pneumonia in children

Pneumonia is a serious and common infectious disease in children. If not treated in time, it may develop into severe pneumonia. Severe pneumonia in children is mainly characterized by hypoxia and acidosis, often accompanied by various complications such as sepsis and multiple organ dysfunction. Severe pneumonia has a rapid onset and progression, and a high mortality rate. Biomarkers assist clinicians in the early diagnosis and treatment of patients by quickly and accurately identifying their conditions and prognostic risks. In this study, common clinical and novel biomarkers of severe pneumonia in children were reviewed, and the application value of biomarkers related to the severity and prognosis of severe pneumonia in children was evaluated to provide help for early identification and precise intervention by clinicians.

Pre-transplant Serum Procalcitonin as a Predictor of Early Post-transplant Sepsis and Mortality After Living Donor Liver Transplantation: A Prospective Observational Study

PURPOSE

The early post-transplant period after liver transplantation is critical, as recipients are highly susceptible to sepsis due to their immune-compromised state. This study aimed to identify the association between preoperative procalcitonin and early post-transplant sepsis and mortality at one month after living donor liver transplantation (LDLT).

METHODOLOGY

All patients who underwent LDLT from July 2021 to December 2021 were recruited prospectively. Participants were divided into two groups based on preoperative PCT levels: elevated (>0.5 ng/ml) and low levels (<0.5 ng/ml). Serum procalcitonin (PCT) levels were measured on the day of transplant and on postoperative days 3 and 7. The relationship between preoperative PCT and post-transplant sepsis was evaluated using a Chi-square test, and receiver operating characteristic (ROC) curves were generated.

RESULTS

Sepsis occurred in 48.3% of patients, with a significant association between elevated preoperative PCT levels and early post-transplant sepsis (p=0.023). The ROC curve for preoperative PCT showed moderate predictive ability (area under curve (AUC)=0.664), while PCT levels on postoperative day 3 demonstrated better discriminatory power (AUC=0.790). PCT levels measured on day 7 also had good diagnostic accuracy, with an AUC of 0.843 and a significant difference between the sepsis and non-sepsis groups (p=0.002). The length of ICU stay was significantly longer in the sepsis group (p=0.009).  Conclusion: Elevated preoperative PCT levels can predict early post-transplant sepsis in LDLT patients. PCT monitoring may enhance risk stratification and guide perioperative management, improving post-transplant outcomes.

COMPARISON OF OXIRIS AND CONVENTIONAL CONTINUOUS RENAL REPLACEMENT THERAPY IN MANAGING SEVERE ABDOMINAL INFECTIONS: IMPACT ON SEPTIC SHOCK MORTALITY

ABSTRACT

Objective: The objective of this study is to assess and compare the efficacy of oXiris with conventional continuous renal replacement therapy (CRRT) in managing severe abdominal infections. Methods: A retrospective analysis encompassing cases from 2017 to 2023 was conducted at the Department of Critical Care Medicine within the First Affiliated Hospital of Fujian Medical University. Parameters including heart rate (HR), mean arterial pressure (MAP), oxygenation index, lactate (Lac), platelet count, neutrophil ratio, procalcitonin, C-reactive protein (CRP), interleukin 6 (IL-6), norepinephrine dosage, Acute Physiology and Chronic Health Evaluation II (APACHE II), and Sequential Organ Failure Assessment (SOFA) were recorded prior to treatment initiation, at 24 h, and 72 h after treatment for both the oXiris and conventional CRRT groups. In addition, the duration of respiratory support, CRRT treatment, length of stay in the intensive care unit (ICU), total hospitalization period, and mortality rates at 14 and 28 days for both groups were recorded. Results: 1) Within the conventional CRRT group, notable enhancement was observed solely in Lac levels at 24 h after treatment compared with pretreatment levels. In addition, at 72 h after treatment, improvements were evident in HR, Lac, CRP, and IL-6 levels. 2) Conversely, the oXiris group exhibited improvements in HR, MAP, Lac, oxygenation index, neutrophil ratio, and IL-6 at 24 h after treatment when compared with baseline values. In addition, reductions were observed in APACHE II and SOFA scores. At 72 h after treatment, all parameters demonstrated enhancement except for platelet count. 3) Analysis of the changes in the indexes (Δ) between the two groups at 24 h after treatment revealed variances in HR, MAP, Lac, norepinephrine dosage, CRP levels, IL-6 levels, APACHE II scores, and SOFA scores. 4) The Δ indexes at 72 h after treatment indicated more significant improvements following oXiris treatment for both groups, except for procalcitonin. 5) The 14-day mortality rate (24.4%) exhibited a significant reduction in the oXiris group when compared with the conventional group (43.6%). However, no significant difference was observed in the 28-day mortality rate between the two groups. 6) Subsequent to multifactorial logistic regression analysis, the results indicated that oXiris treatment correlated with a noteworthy decrease in the 14-day and 28-day mortality rates associated with severe abdominal infections, by 71.3% and 67.6%, respectively. Conclusion: oXiris demonstrates clear advantages over conventional CRRT in the management of severe abdominal infections. Notably, it reduces the fatality rates, thereby establishing itself as a promising and potent therapeutic option.

Persistently high plasma procalcitonin levels despite successful treatment of tuberculous pleuritis and tuberculous lymphadenitis patients

In a prospective cohort study, we evaluated plasma PCT levels in 48 TB lymphadenitis (TBLN) and 41 TB pleuritis (TBPE) patients. Measurements of PCT were done in unstimulated plasma of microbiologically and clinically confirmed TBLN and TBPE patients registered for anti-TB treatment at a tertiary care hospital in Lahore, Pakistan. Plasma levels of PCT were found to be raised in 89% of the patients at baseline with a median of 1.5 ng/ml. Levels were higher (p = 0.001) in TBLN as compared to TBPE (2.69, 0.96 ng/ml). PCT levels were not related to the bacterial burden depicted by culture positivity in these patients. PCT showed a negative correlation with the severity of constitutional symptoms (rho = - 0.238, p = 0.034), and inflammatory biomarkers; ferritin (rho = - 0.43, p < 0.001), INF-γ (rho = - 0.314, p = 0.003), TNF-α (rho = - 0.220, p = 0.039), IL-6 (rho = - 0.224, p = 0.035), and several chemokines of CCL and CCXL group. Raised plasma levels of PCT did not decrease with anti-TB treatment, indicating it is not a good biomarker to monitor treatment response in TBLN and TBPE patients. More studies with a larger number of confirmed EPTB cases are needed to define the role of PCT and its interaction with other biomarkers in EPTB.

Association of antibiotics with the outcomes in COVID-19 pneumonia patients with elevated PCT levels

OBJECTIVE

To assess antibiotics impact on outcomes in COVID-19 pneumonia patients with varying procalcitonin (PCT) levels.

METHODS

This retrospective cohort study included 3665 COVID-19 pneumonia patients hospitalized at five Mayo Clinic sites (March 2020 to June 2022). PCT levels were measured at admission. Patients' antibiotics use and outcomes were collected via the Society of Critical Care Medicine (SCCM) Viral Infection and Respiratory Illness Universal Study (VIRUS) registry. Patients were stratified into high and low PCT groups based on the first available PCT result. The distinction between high and low PCT was demarcated at both 0.25 ng/ml and 0.50 ng/ml.

RESULTS

Our cohort consisted of 3665 patients admitted with COVID-19 pneumonia. The population was predominantly male, Caucasian and non-Hispanic. With the PCT cut-off of 0.25 ng/ml, 2375 (64.8 %) patients had a PCT level <0.25 ng/mL, and 1290 (35.2 %) had PCT ≥0.25 ng/ml. While when the PCT cut off of 0.50 ng/ml was used we observed 2934 (80.05 %) patients with a PCT <0.50 ng/ml while 731(19.94 %) patients had a PCT ≥0.50 ng/ml. Patients with higher PCT levels exhibited significantly higher rates of bacterial infections (0.25 ng/ml cut-off: 4.2 % vs 7.9 %; 0.50 ng/ml cut-off: 4.6 % vs 9.2 %). Antibiotics were used in 66.0 % of the cohort. Regardless of the PCT cutoffs, the antibiotics group showed increased hospital length of stay (LOS), intensive care unit (ICU) admission rate, and mortality. However, early de-escalation (<24 h) of antibiotics correlated with reduced hospital LOS, ICU LOS, and mortality. These results were consistent even after adjusting for confounders.

CONCLUSION

Our study shows a substantial number of COVID-19 pneumonia patients received antibiotics despite a low incidence of bacterial infections. Therefore, antibiotics use in COVID pneumonia patients with PCT <0.5 in the absence of clinical evidence of bacterial infection has no beneficial effect.

Clinical Utility of Recently Food and Drug Administration-Approved IntelliSep Test (Sepsis Biomarker) for Early Diagnosis of Sepsis: Comparison with Other Biomarkers

Context: IntelliSep by Cytovale has received United States (U.S.) Food and Drug Administration (FDA) approval as a sepsis biomarker test. However, the clinical utility of this new test is not assessed in emergency departments. Objective: We investigated the clinical utility of this test using 44 patients visiting the emergency department at The University of Kansas Medical Center by comparing it with the monocyte distribution width (MDW) and other biomarkers including the von Willebrand factor (vWF) and ADAMTS13. Design and Methods: IntelliSep assesses the cellular host response via deformability cytometry of biophysical leukocyte properties and produces a score (IntelliSep Index; ISI: from 0.1 (lowest risk) to 10 (highest risk). We measured the ISI in 44 patients (19 high probability and 25 low probability of sepsis groups) using EDTA-anticoagulated blood. Left over plasma was used for measuring the plasma von Willebrand factor (vWF) and ADAMTS13 antigen by ELISA assays. The MDW was obtained during routine CBC analysis using a Beckman hematology analyzer. The lactate and high-sensitivity troponin I levels were measured using a Beckman analyzer. Procalcitonin was measured using a Cobas e801 analyzer. Results: The median ISI was twofold higher in the high-probability group than in the low-probability group (p < 0.01) while the median MDW was 34.5% higher in the high-probability group than in the low-probability group (p < 0.01). However, the correlation between the ISI and MDW was only modest (r = 0.66). In addition, significantly higher levels of plasma vWF antigen but lower levels of plasma ADAMTS13 antigen in the high-probability group were found, resulting in significantly higher vWF/ADAMTS13 ratios in the high-probability group than in the low-probability group. Conclusions: The new IntelliSep test along with vWF/ADAMTS13 ratios may be useful for the early diagnosis of sepsis in patients visiting the emergency department, which appears to be superior to the traditional marker, MDW.

A Retrospective Study: Evaluating the Impact of the COVID-19 Pandemic on Inflammatory Markers in Hospitalized Patients

BACKGROUND

The COVID-19 pandemic has had a significant impact globally, and understanding the relationship between inflammatory markers and disease progression is crucial for effective management. This retrospective study aimed to examine the association between various inflammatory markers, such as C-reactive protein (CRP), the erythrocyte sedimentation rate (ESR), lactate dehydrogenase (LDH), D-dimer, ferritin, and procalcitonin (PCT), and the characteristics of disease progression and outcomes in individuals affected by COVID-19.

METHODS

This study collected raw data from 470 patients who tested positive for SARS-CoV-2 using RT-PCR.

RESULTS

The logistic regression analysis revealed that elevated LDH levels were associated with male gender, ICU admission, low oxygen saturation (O2 < 93%), the need for mechanical ventilation, death, and the presence of lung infiltrates. Higher D-dimer levels were associated with older age, diabetes mellitus, cardiac disease, and low oxygen saturation. Ferritin levels were significantly associated with older age, ICU admission, low oxygen saturation, mechanical ventilation, and lung infiltrates. In contrast, CRP was only significant regarding lung infiltrates and procalcitonin levels were not significantly associated with any of the examined factors.

CONCLUSION

This study highlights the importance of monitoring key inflammatory markers, such as LDH, D-dimer, and ferritin, as they are significantly associated with the severity of COVID-19 illness. These findings can inform clinical decision-making and guide the development of targeted interventions to improve patient outcomes.

Early Diagnosis of Sepsis: The Role of Biomarkers and Rapid Microbiological Tests

Sepsis is a medical emergency resulting from a dysregulated response to an infection, causing preventable deaths and a high burden of morbidity. Protocolized and accurate interventions in sepsis are time-critical. Therefore, earlier recognition of cases allows for preventive interventions, early treatment, and improved outcomes. Clinical diagnosis of sepsis by clinical scores cannot be considered an early diagnosis, given that underlying molecular pathophysiological mechanisms have been activated in the preceding hour or days. There is a lack of a widely available tool enhancing preclinical diagnosis of sepsis. Sophisticated technologies for sepsis prediction have several limitations, including high costs. Novel technologies for fast molecular and microbiological diagnosis are focusing on bedside point-of-care combined testing to reach most settings where sepsis represents a challenge.

Dual-Ligand Ruthenium Coordination Polymer-Derived Self-Enhanced Electrochemiluminescent Emitters for Sensitive Detection of Procalcitonin

Ru-based electrochemiluminescence (ECL) coordination polymers are widely employed for bioanalysis and medical diagnosis. However, commonly used Ru-based coordination polymers face the limitation of low efficiency due to the long distance between the ECL reagent and the coreactant dispersed in detecting solution. Herein, we report a dual-ligand self-enhanced ECL coordination polymer, composed of tris(4,4'-dicarboxylic acid-2,2'-bipyridyl) ruthenium(II) dichloride (Ru(dcbpy)32+) as ECL reactant ligand and ethylenediamine (EDA) as corresponding coreactant ligand into Zn2+ metal node, termed Zn-Ru-EDA. Zn-Ru-EDA shows excellent ECL performance which is attributed to the effective intramolecular electron transport between the two ligands. Furthermore, the dual-ligand polymer allows an anodic low excitation potential (+1.09 V) luminescence. The shift in the energy level of the highest occupied molecular orbital (HOMO) upward after the synthesis of the Zn-Ru-EDA has resulted in a reduced excitation potential. The low excitation potential reduced biomolecular damage and the destruction of the modified electrodes. The ECL biosensor has been constructed using Zn-Ru-EDA with high ECL efficiency for the ultrasensitive detection of a bacterial infection and sepsis biomarker, procalcitonin (PCT), in the range from 1.00 × 10-6 to 1.00 × 10 ng·mL-1 with outstanding selectivity, and the detection limit was as low as 0.47 fg·mL-1. Collectively, the dual-ligand-based self-enhanced polymer may provide an ideal strategy for high ECL efficiency improvement as well as designing new self-enhanced multiple-ligand-based coordination in sensitive biomolecular detection for early disease diagnostics.

Optimal cut-off value of procalcitonin and procalcitonin/albumin ratio for predicting bacteremia among patients living with cancer: a test-negative case-control study

OBJECTIVE

The occurrence of bacteremia is critically important for the survival of cancer patients. Therefore, our study aims to evaluate the efficacy of procalcitonin (PCT) and the procalcitonin to albumin ratio (PAR) in predicting bacteremia among this population.

METHODS

In this retrospective test-negative case-control study, we included 903 hospitalized cancer patients, divided into two groups: the bacteremia-positive group (BSI group, n = 384) and the bacteremia-negative group (non-BSI group, n = 519). We assessed the diagnostic significance of PCT and PAR through receiver operating characteristic (ROC) analysis and determined the optimal cut-off values using Youden's index.

RESULTS

Both the duration of hospital stay and the 30-day mortality rate were significantly higher in the BSI group. The areas under the curve (AUC) for PAR and PCT were 0.749 (95% CI: 0.715-0.782) and 0.742 (95% CI: 0.708-0.776), respectively, indicating higher levels in the BSI group. The optimal cut-off values for predicting bacteremia were 0.72 for PAR and 1.32 for PCT. PAR showed the highest specificity (92.7%) and positive predictive value (PPV = 83.4%), while PCT demonstrated the highest sensitivity (51.3%) and negative predictive value (NPV = 71.6%).

DISCUSSION

This study is the first in the literature to suggest that PAR and PCT are valuable biomarkers for diagnosing bacteremia in cancer patients. The identified cut-off values offer practical thresholds for bacteremia diagnosis.

The role of procalcitonin as a risk stratification tool of severity, prognosis, and need for surgery in patients with acute left-sided colonic diverticulitis

BACKGROUND

Imaging-based classifications do not always reflect the clinical severity and prognosis of acute left-sided colonic diverticulitis. This study aims to investigate the role of an early procalcitonin assessment in the emergency department as a risk stratification tool for severity, prognosis, and need for surgery in patients with acute left-sided colonic diverticulitis.

METHODS

In this retrospective cohort study, all adult patients consecutively admitted from January 2015 to September 2020 for acute left-sided colonic diverticulitis and having a procalcitonin determination at admission were enrolled. The following data were collected: age, sex, comorbidities, laboratory parameters, level of urgency, clinical presentation, type of treatment, complications, and post-management outcomes. The association between the procalcitonin value at admission and the following endpoints was analyzed: type of treatment, classification of acute left-sided colonic diverticulitis, mortality, and type of surgery.

RESULTS

A total of 503 consecutive patients were enrolled. Procalcitonin >0.5 ng/mL emerged as an independent risk factor for complicated acute left-sided colonic diverticulitis (P = .007). Procalcitonin >0.5 ng/mL (P = .033), together with a history of complicated acute left-sided colonic diverticulitis (P < .001), abdominal pain (P = .04), bowel perforation (P < .001), and peritonitis (P < .001), was a significant risk factor for surgery. Procalcitonin >0.5 ng/mL (P = .007) and peritonitis (P = .03) emerged as independent risk factors for sigmoidectomy without colorectal anastomosis. Procalcitonin >0.5 ng/mL (P = .004), a higher level of urgency at admission (P = .005), Hartmann's procedure (P = .002), and the necessity of mechanical ventilation (P = .004) emerged as independent risk factors for mortality.

CONCLUSION

Procalcitonin >0.05 ng/mL at emergency department admission is a useful risk stratification tool for severity, prognosis, and need for surgical treatment in patients with acute left-sided colonic diverticulitis.

The Diagnostic Accuracy of Procalcitonin and Its Combination with Other Biomarkers for Candidemia in Critically Ill Patients

Background: The aim of this study was to investigate the usefulness of serum procalcitonin (PCT), C-reactive protein (CRP), neutrophil to lymphocyte count ratio (NLR), and their combination, in distinguishing candidemia from bacteremia in intensive care unit (ICU) patients. Methods: This is a retrospective study in ICU patients with documented bloodstream infections (BSIs) and with both serum PCT and CRP measurements on the day of the positive blood sample. Illness severity was assessed by sequential organ failure assessment (SOFA) score on both admission and BSI day. Demographic, clinical, and laboratory data, including PCT and CRP levels and NLR on the day of the BSI, were recorded. Results: A total of 63 patients were included in the analysis, of whom 32 had bacteremia and 31 had candidemia. PCT, CRP, and NLR values were all significantly lower in candidemia compared with bacteremia (0.29 (0.14-0.69) vs. 1.73 (0.5-6.9) ng/mL, p < 0.001, 6.3 (2.4-11.8) vs. 19 (10.7-24.8) mg/dl, p < 0.001 and 6 (3.7-8.6) vs. 9.8 (5.3-16.3), p = 0.001, respectively). PCT was an independent risk factor for candidemia diagnosis (OR 0.153, 95%CI: 0.04-0.58, p = 0.006). A multivariable model consisting of the above three variables had better predictive ability (AUC-ROC = 0.88, p < 0.001), for candidemia diagnosis, as compared to that of PCT, CRP, and NLR, whose AUC-ROCs were all lower (0.81, p < 0.001, 0.78, p < 0.001, and 0.68, p = 0.015, respectively). Conclusions: A combination of routinely available laboratory tests, such as PCT, CRP, and NLR, could prove useful for the early identification of ICU patients with candidemia.

Procalcitonin, brain natriuretic peptide and albumin as markers to predict prognosis in hospitalized older Japanese patients with a risk of infection

AIM

Whether serum concentration of procalcitonin (PCT), brain natriuretic peptide (BNP) and albumin (Alb) have an association with the outcome of hospitalized older patients is unclear. We investigated clinical outcomes and any predictive factors in hospitalized Japanese older patients with a risk of infection.

METHODS

In the retrospective study, 820 Japanese patients were followed up for 30 days or until death. During the observation period, 656 patients survived and 164 patients died. The predictive factors of death were analyzed according to demographic and clinical variables.

RESULTS

The survival rate was decreased as the serum PCT increased from <0.5 to ≥10 ng/mL, as was also the case with BNP from <300 to ≥300 pg./mL, whereas low Alb (<2.5 g/dL) showed a lower survival rate than high Alb (≥2.5 g/dL; P < 0.01). Using the Cox regression model, the multivariable-adjusted hazard ratios (95% confidence interval) were as follows: PCT 0.5-2 versus <0.5 ng/mL: 1.61(1.04-2.49), PCT 2-10 versus <0.5 ng/mL: 1.91(1.15-3.16), PCT ≥10 versus <0.5 ng/mL: 2.90(1.84-4.59), high BNP 1.26 (0.89-1.76) and low Alb 0.68 (0.52-0.87). The mortality rate increased as the number of scores (PCT + BNP + Alb) increased.

CONCLUSIONS

Concentration-dependent high PCT, high BNP and low Alb were positive risk factors associated with poor prognosis in hospitalized older patients with a risk of infection. Geriatr Gerontol Int 2024; 24: 571-576.

Serum procalcitonin as a diagnostic biomarker in dogs with bacterial respiratory diseases

BACKGROUND

Procalcitonin (PCT) is a useful biomarker in humans in the identification of bacterial respiratory infections.

OBJECTIVES

The aim of this study was to investigate the utility of serum PCT measurements as a diagnostic biomarker in canine bacterial lower respiratory tract diseases.

METHODS

PCT concentrations were measured in serum samples with an ELISA method previously validated for dogs. All dogs underwent thorough clinical examinations, and the diagnosis of respiratory disease was based on clinical and laboratory findings, diagnostic imaging, as well as cytology and bacterial culture of respiratory samples. PCT concentrations between different cohorts of dogs were compared with an ANOVA-model.

RESULTS

Sixty-two privately owned dogs with respiratory diseases, 25 with bacterial pneumonia (BP), 17 with bacterial bronchitis caused by Bordetella bronchiseptica (BB), and 20 with chronic bronchitis (CB) as well as 44 healthy controls were included in the study. Serum PCT concentrations in dogs with bacterial respiratory diseases (BP mean 51.8 ng/L ± standard deviation [SD] 40.6 ng/L and BB mean 61.4 ng/L ± SD 35.3 ng/L) were not significantly different when compared with dogs with a non-bacterial respiratory disease (CB mean 89.7 ± SD 73.5 ng/L) or healthy dogs (mean 51.0 ng/L ± SD 37.5 ng/L, p > .05 in all comparisons).

CONCLUSIONS

These results indicate that despite being a valuable diagnostic, prognostic, and follow-up marker in humans with pneumonia, serum PCT concentrations are not elevated in dogs with bacterial respiratory diseases and, therefore, cannot be used as a diagnostic biomarker in dogs.

Analytical Evaluation of Point-of-Care Finecare™ Procalcitonin Rapid Quantitative Test in Sepsis Population as Compared with Elecsys® BRAHMS Procalcitonin Immunoassay

The study compared two plasma procalcitonin (PCT) assays, the point of care (POC) Finecare™ Procalcitonin Rapid Quantitative Test and the Elecsys® BRAHMS PCT immunoassay, in sepsis ICU patients. Forty-one plasma samples were analyzed, showing a strong correlation (r = 0.98) and no significant difference in PCT values. The mean POC PCT value was 4.46 ng/mL (SD 8.68), and for laboratory BRAHMS PCT, it was 4.67 ng/mL (SD 10.03). The study found a strong linear relationship between plasma POC PCT and laboratory BRAHMS PCT (r = 0.98). Different regression methods showed varying intercepts and slopes: Ordinary Least Squares had an intercept of 0.49 and a slope of 0.85; Deming regression showed an intercept of 0.43 and a slope of 0.86; Passing-Bablok regression showed an intercept of 0.02 and a slope of 1.08. Precision results for cut-offs of 0.5 ng/mL were a coefficient of variation (CV) of 5%, and for 2.5 ng/mL, the CV was 2.5%. The Pearson correlation coefficient (r) for linearity was ≥0.99. The study revealed no significant difference between the POC Finecare™ PCT and Elecsys® BRAHMS PCT immunoassay in sepsis samples from ICU patients, supported by strong correlation, minimal bias, a consistent CV, and linearity.

The evolution of sepsis publications and global productivity: A bibliometric analysis between 1980 and 2020

The literature study was conducted by using the Web of Science (WoS) database, employing bibliometric analysis to examine all papers released from 1980 to 2020. The search was performed using the terms "sepsis, septicemia, septic shock" specifically within the titles of the publications. The findings of the literature research revealed a total of 51,725 articles. Out of the total number of publications, 26,896 articles were identified, accounting for 51.9% of the total. The bibliometric study revealed that the United States had the largest number of papers (8693), followed by China (2807), Germany (2299), France (1606), and the United Kingdom (1932). The writers that exhibited the most prolific output in terms of article production on the topic of sepsis were Vincent, with a total of 217 articles, followed by Wang P with 154 articles, and Chaudry IH with 126 articles. The University of Pittsburgh, Brown University, and the University of Michigan were identified as the most productive universities, in that order. The findings from the prediction model revealed that the projected number of articles to be published in 2021 is estimated to be 2086, while the projected number for 2030 is estimated to be 2637. The literature has predominantly focused on disease markers and diagnostic methods, severity and effects of the disease, immunity and inflammation, effects of the disease in neonates and the neonatal period, and treatment and care. According to trend analysis results, recent focus in sepsis research includes a broad spectrum of investigations such as mortality rates, prognostic determinants, diagnostic methods, biomarkers, epidemiological insights, critical care strategies, infections, treatment outcomes, emergency department scenarios, pediatric assessments, and antibiotic interventions.

The Sensitivity and Specificity of Procalcitonin in Diagnosing Bacterial Sepsis in Neonates

CONTEXT AND OBJECTIVES

Neonatal sepsis accounts for 15% of all neonatal deaths. Early detection enables prompt administration of antibiotic treatment, reducing morbidity and mortality. This study aims to review the sensitivity and specificity of procalcitonin in diagnosing microbiologically-proven sepsis in neonates to determine the optimal procalcitonin cut-off value for use in clinical practice.

DATA SOURCES, STUDY SELECTION, AND DATA EXTRACTION

Medline, EMBASE and PubMed were searched on 3 May 2023 for original studies in symptomatic neonates in whom both blood culture and procalcitonin levels were taken, and a procalcitonin cut-off with either sensitivity or specificity reported. Studies that included asymptomatic or culture-negative neonates in the proven sepsis group were excluded. Risk of bias was assessed using the Qualitative Assessment of Diagnostic Accuracy Studies 2 tool.

RESULTS

Nineteen original studies enrolling a total of 1920 symptomatic neonates (721 with proven sepsis) were included. Six studies used a procalcitonin cut-off of 0.5 ng/mL and found a sensitivity of 87% to 100% and specificity of 17% to 89%. Nine studies evaluated higher procalcitonin cut-off values between 0.99 ng/mL and 2 ng/mL, which were 67% to 98% sensitive and 41% to 89% specific. All other procalcitonin thresholds were neither sensitive nor specific. Meta-analysis was not performed because of high risk of bias within the identified studies.

CONCLUSIONS

This review found that procalcitonin was highly sensitive (87% to 100%) at a cut-off value of 0.5 ng/mL, although specificity varied greatly across all cut-off values reviewed. The variation in diagnostic accuracy between studies suggests that procalcitonin may be useful to guide antibiotic cessation but should not be used alone as a diagnostic marker for neonatal sepsis.

An Integrated Clinical and Computerized Tomography-Based Radiomic Feature Model to Separate Benign from Malignant Pleural Effusion

INTRODUCTION

Distinguishing between malignant pleural effusion (MPE) and benign pleural effusion (BPE) poses a challenge in clinical practice. We aimed to construct and validate a combined model integrating radiomic features and clinical factors using computerized tomography (CT) images to differentiate between MPE and BPE.

METHODS

A retrospective inclusion of 315 patients with pleural effusion (PE) was conducted in this study (training cohort: n = 220; test cohort: n = 95). Radiomic features were extracted from CT images, and the dimensionality reduction and selection processes were carried out to obtain the optimal radiomic features. Logistic regression (LR), support vector machine (SVM), and random forest were employed to construct radiomic models. LR analyses were utilized to identify independent clinical risk factors to develop a clinical model. The combined model was created by integrating the optimal radiomic features with the independent clinical predictive factors. The discriminative ability of each model was assessed by receiver operating characteristic curves, calibration curves, and decision curve analysis (DCA).

RESULTS

Out of the total 1,834 radiomic features extracted, 15 optimal radiomic features explicitly related to MPE were picked to develop the radiomic model. Among the radiomic models, the SVM model demonstrated the highest predictive performance [area under the curve (AUC), training cohort: 0.876, test cohort: 0.774]. Six clinically independent predictive factors, including age, effusion laterality, procalcitonin, carcinoembryonic antigen, carbohydrate antigen 125 (CA125), and neuron-specific enolase (NSE), were selected for constructing the clinical model. The combined model (AUC: 0.932, 0.870) exhibited superior discriminative performance in the training and test cohorts compared to the clinical model (AUC: 0.850, 0.820) and the radiomic model (AUC: 0.876, 0.774). The calibration curves and DCA further confirmed the practicality of the combined model.

CONCLUSION

This study presented the development and validation of a combined model for distinguishing MPE and BPE. The combined model was a powerful tool for assisting in the clinical diagnosis of PE patients.

Sepsis, Management & Advances in Metabolomics

Though there have been developments in clinical care and management, early and accurate diagnosis and risk stratification are still bottlenecks in septic shock patients. Since septic shock is multifactorial with patient-specific underlying co-morbid conditions, early assessment of sepsis becomes challenging due to variable symptoms and clinical manifestations. Moreover, the treatment strategies are traditionally based on their progression and corresponding clinical symptoms, not personalized. The complex pathophysiology assures that a single biomarker cannot identify, stratify, and describe patients affected by septic shock. Traditional biomarkers like CRP, PCT, and cytokines are not sensitive and specific enough to be used entirely for a patient's diagnosis and prognosis. Thus, the need of the hour is a sensitive and specific biomarker after comprehensive analysis that may facilitate an early diagnosis, prognosis, and drug development. Integration of clinical data with metabolomics would provide means to understand the patient's condition, stratify patients better, and predict the clinical outcome.

An inflammation-based model for identifying severe acute pancreatitis: a single-center retrospective study

BACKGROUND AND AIMS

Severe acute pancreatitis (SAP) is potentially lethal. Considering the role of inflammation in the progression of acute pancreatitis (AP), this study aims to develop a model based on inflammatory indexes for identifying the presence of SAP.

METHODS

Overall, 253 patients with AP who were consecutively admitted between July 2018 and November 2020 were screened, of whom 60 had SAP. Systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), neutrophil-to-platelet ratio (NPR), systemic inflammation response index (SIRI), platelet-to-albumin ratio (PAR), C-reactive protein-to-albumin ratio (CAR), C-reactive protein-to-lymphocyte ratio (CLR), and triglyceride glucose (TyG) index were calculated. Multivariate logistic regression analyses were performed to identify independent risk factors of SAP. Then, inflammation-based models were established. Receiver operating characteristics (ROC) curve analyses were performed. Area under ROC curve (AUROC) was calculated.

RESULTS

Diabetes mellitus, fatty liver, high white blood cell count (WBC), C-reactive protein (CRP), red blood cell distribution width (RDW), procalcitonin (PCT), SII, NLR, NPR, CAR, CLR, and TyG index, and a low LMR were significantly associated with SAP. Considering the collinearity among these variables, 10 multivariate logistic regression analyses were separately performed. Finally, four independent inflammation-based models were established. Of them, the best one, which was calculated as follows: 1.204*fatty liver (yes = 1; no = 0) + 0.419*PCT + 0.005*CLR - 2.629, had an AUROC of 0.795 with a specificity of 73.4% and a sensitivity of 71.7%.

CONCLUSION

The inflammation-based model consisting of fatty liver, PCT, and CLR has a good diagnostic performance for SAP.

Machine and deep learning methods for clinical outcome prediction based on physiological data of COVID-19 patients: a scoping review

INTRODUCTION

Since the beginning of the COVID-19 pandemic, numerous machine and deep learning (MDL) methods have been proposed in the literature to analyze patient physiological data. The objective of this review is to summarize various aspects of these methods and assess their practical utility for predicting various clinical outcomes.

METHODS

We searched PubMed, Scopus, and Cochrane Library, screened and selected the studies matching the inclusion criteria. The clinical analysis focused on the characteristics of the patient cohorts in the studies included in this review, the specific tasks in the context of the COVID-19 pandemic that machine and deep learning methods were used for, and their practical limitations. The technical analysis focused on the details of specific MDL methods and their performance.

RESULTS

Analysis of the 48 selected studies revealed that the majority (∼54 %) of them examined the application of MDL methods for the prediction of survival/mortality-related patient outcomes, while a smaller fraction (∼13 %) of studies also examined applications to the prediction of patients' physiological outcomes and hospital resource utilization. 21 % of the studies examined the application of MDL methods to multiple clinical tasks. Machine and deep learning methods have been shown to be effective at predicting several outcomes of COVID-19 patients, such as disease severity, complications, intensive care unit (ICU) transfer, and mortality. MDL methods also achieved high accuracy in predicting the required number of ICU beds and ventilators.

CONCLUSION

Machine and deep learning methods have been shown to be valuable tools for predicting disease severity, organ dysfunction and failure, patient outcomes, and hospital resource utilization during the COVID-19 pandemic. The discovered knowledge and our conclusions and recommendations can also be useful to healthcare professionals and artificial intelligence researchers in managing future pandemics.

Sepsis Stewardship: The Puzzle of Antibiotic Therapy in the Context of Individualization of Decision Making

The main recent change observed in the field of critical patient infection has been universal awareness of the need to make better use of antimicrobials, especially for the most serious cases, beyond the application of simple and effective formulas or rigid protocols. The increase in resistant microorganisms, the quantitative increase in major surgeries and interventional procedures in the highest risk patients, and the appearance of a significant number of new antibiotics in recent years (some very specifically directed against certain mechanisms of resistance and others with a broader spectrum of applications) have led us to shift our questions from "what to deal with" to "how to treat". There has been controversy about how best to approach antibiotic treatment of complex cases of sepsis. The individualized and adjusted dosage, the moment of its administration, the objective, and the selection of the regimen are pointed out as factors of special relevance in a critically ill patient where the frequency of resistant microorganisms, especially among the Enterobacterales group, and the emergence of multiple and diverse antibiotic treatment alternatives have made the appropriate choice of antibiotic treatment more complex, requiring a constant updating of knowledge and the creation of multidisciplinary teams to confront new infections that are difficult to treat. In this article, we have reviewed the phenomenon of the emergence of resistance to antibacterials and we have tried to share some of the ideas, such as stewardship, sparing carbapenems, and organizational, microbiological, pharmacological, and knowledge tools, that we have considered most useful and effective for individualized decision making that takes into account the current context of multidrug resistance. The greatest challenge, therefore, of decision making in this context lies in determining an effective, optimal, and balanced empirical antibiotic treatment.

Multidrug-Resistant Sepsis: A Critical Healthcare Challenge

Sepsis globally accounts for an alarming annual toll of 48.9 million cases, resulting in 11 million deaths, and inflicts an economic burden of approximately USD 38 billion on the United States healthcare system. The rise of multidrug-resistant organisms (MDROs) has elevated the urgency surrounding the management of multidrug-resistant (MDR) sepsis, evolving into a critical global health concern. This review aims to provide a comprehensive overview of the current epidemiology of (MDR) sepsis and its associated healthcare challenges, particularly in critically ill hospitalized patients. Highlighted findings demonstrated the complex nature of (MDR) sepsis pathophysiology and the resulting immune responses, which significantly hinder sepsis treatment. Studies also revealed that aging, antibiotic overuse or abuse, inadequate empiric antibiotic therapy, and underlying comorbidities contribute significantly to recurrent sepsis, thereby leading to septic shock, multi-organ failure, and ultimately immune paralysis, which all contribute to high mortality rates among sepsis patients. Moreover, studies confirmed a correlation between elevated readmission rates and an increased risk of cognitive and organ dysfunction among sepsis patients, amplifying hospital-associated costs. To mitigate the impact of sepsis burden, researchers have directed their efforts towards innovative diagnostic methods like point-of-care testing (POCT) devices for rapid, accurate, and particularly bedside detection of sepsis; however, these methods are currently limited to detecting only a few resistance biomarkers, thus warranting further exploration. Numerous interventions have also been introduced to treat MDR sepsis, including combination therapy with antibiotics from two different classes and precision therapy, which involves personalized treatment strategies tailored to individual needs. Finally, addressing MDR-associated healthcare challenges at regional levels based on local pathogen resistance patterns emerges as a critical strategy for effective sepsis treatment and minimizing adverse effects.

Electrochemical immunosensor based on hollow Pt@Cu2O as a signal label for dual-mode detection of procalcitonin

As a reliable biomarker to evaluate the severity of sepsis, sensitive and accurate detection of procalcitonin (PCT) is essential. In this study, a dual-mode electrochemical immunosensor based on Au/ZIF-8 as substrate and Pt@Cu2O as signal label was constructed for the detection of PCT. By loading Au nanoparticles onto rhombic dodecahedral ZIF-8, the substrate (Au/ZIF-8) has large specific surface area and can immobilize antibody (Ab1) by Au-N bonds. Meanwhile, hollow Pt@Cu2O nanocomposite with excellent peroxidase-like activity and electrocatalytic activity were synthesized as signal label. In the process of electrochemical testing, Pt@Cu2O catalyzed the reduction of hydrogen peroxide (H2O2) and further promotes the oxidation of hydroquinone (HQ) to achieve the synergistic amplification of electrochemical signals. The proposed immunosensor detected PCT by amperometric i-t and differential pulse voltammetry (DPV) tests with a good linear response and low limit of detection (i-t: 0.70 fg/mL and DPV: 0.40 fg/mL) in the range of 10 fg/mL∼100 ng/mL. The immunosensor exhibited excellent sensitivity and accuracy, indicating the potential application of this method for PCT detection.