Dynamics of changes in proteins of the acute phase of inflammation in the postoperative period in patients with disseminated peritonitis.

OBJECTIVE: Aim: To determine the effect of the developed complex treatment of patients with peritonitis on the dynamics of humoral factors of nonspecific reactivity in the course of the disease. PATIENTS AND METHODS: Materials and Methods: The study included 124 patients with toxic and terminal stages of peritonitis, who were divided into 3 groups. Group I (main) included 39 patients whose complex treatment included cytochrome C. Group II (main) included 41 patients whose complex treatment included cytochrome C and a solution containing levocarnitine and arginine hydrochloride. The comparison group comprised 44 patients who did not receive the specified drugs. The patients underwent determination of the levels of fibronectin, ceruloplasmin, and procalcitonin in the serum during the course of the disease. RESULTS: Results: In patients of the I and II main groups, the use of the proposed treatment contributed to the optimization of the production of acute phase proteins: a decrease in procalcitonin production during the study, optimization of ceruloplasmin and fibronectin production, especially in the II main group. In patients of the comparison group, decompensation in the production of humoral inflammatory factors was determined, associated with a significant increase in fibronectin production, a decrease in ceruloplasmin content, and an increase in procalcitonin throughout the entire period. CONCLUSION: Conclusions: The use of cytochrome C and a solution containing levocarnitine and arginine hydrochloride in the complex treatment of patients with disseminated peritonitis helps to optimize the production of acute phase proteins, which leads to a decrease in inflammation and the preservation of factors of nonspecific humoral activity at a subcompensated level.

Prognostic and diagnostic utility of pancreatic stone protein in pediatric sepsis and mortality.

Background/aim: Early detection and prognosis of sepsis in critically ill children is crucial. The aim of this research was to investigate the prognostic ability of pancreatic stone protein (PSP) in validating sepsis and predicting mortality in a prospective observational study. Materials and methods: In a single-center study, pediatric intensive care unit patients were divided into cohorts of confirmed and suspected sepsis, as well as survivors and nonsurvivors. Patients with positive blood culture growth were considered to have confirmed sepsis, while their negative counterparts were considered to have suspected sepsis. Comparisons were made between complete blood counts, laboratory parameters, mortality indices, and C-reactive protein (CRP), procalcitonin (PCT), and PSP levels. The correlations between PSP and alternative inflammatory markers and mortality indices were then analyzed. The diagnostic and prognostic applicability of PSP for sepsis confirmation and mortality prediction was assessed using receiver operating characteristic curve analysis. Results: PSP levels were significantly elevated in patients with confirmed sepsis and within the nonsurvivor segment. In confirming sepsis and predicting mortality, PSP outperformed CRP and PCT in terms of sensitivity. It had sensitivity of 95% in diagnosing sepsis at a cut-off level of 50 ng/L, with an area under the curve (AUC) of 0.67 (95% CI: 0.52-0.81), and sensitivity of 92% in predicting mortality, with an AUC of 0.71 (95% CI: 0.56-0.83). In addition, PSP showed significant correlations with CRP, PCT, and mortality scores. Conclusion: PSP is emerging as a highly sensitive marker for confirming sepsis and predicting mortality in critically ill pediatric patients. Incorporating the PSP biomarker into routine clinical practice could potentially improve the management of pediatric sepsis.

Procalcitonin levels in severe fever with thrombocytopenia syndrome patients: a retrospective investigation in Anhui, China.

INTRODUCTION: This work aim to evaluate the association of procalcitonin (PCT) levels with disease severity and prognosis in severe fever with thrombocytopenia syndrome (SFTS) patients. METHODOLOGY: The medical records of 158 confirmed SFTS patients at two hospitals were reviewed. The patients were divided into survival group and nonsurvival group according to outcomes. Additionally, to assess mortality rates at different PCT levels, patients were divided into two groups, PCT < 0.25 ng/mL and PCT ≥ 0.25 ng/mL. RESULTS: Among the 158 confirmed SFTS patients, 26 died; the case fatality rate was 16.46%. PCT data were available for 132 of these patients; 66 were in the PCT < 0.25 ng/mL group, and 66 were in the PCT ≥ 0.25 ng/mL group. The SFTS patients had abnormal results on routine blood tests, indicating varying degrees of thrombocytopenia and leukopenia, and most patients presented with multiple organ dysfunction. The PCT level of the nonsurvival group was significantly higher than that of the survival group (p < 0.01). Additionally, the mortality of the PCT ≥ 0.25 ng/mL group was significantly higher than that of the PCT < 0.25 ng/mL group (p < 0.01); mortality increased sharply ( ≥ 25%) when the PCT level exceeded 0.1 ng/mL. CONCLUSIONS: PCT levels in SFTS patients are closely related to the severity and prognosis of their illness. The serum PCT level is a promising predictor of mortality and severity in SFTS patients when considered in combination with clinical data and other laboratory tests.

Diagnostic model for spontaneous bacterial peritonitis in cirrhotic patients with ascites: a multicenter cohort study.

INTRODUCTION: Spontaneous bacterial peritonitis (SBP) is a potentially life-threatening complication of cirrhotic ascites. Early diagnosis and treatment of SBP are essential to improve the survival rates and prognosis of patients. We aimed to identify the predictors of SBP to establish a new noninvasive early diagnostic tool. METHODS: We screened 1618 patients who underwent paracentesis due to cirrhotic ascites between January 2017 and December 2018 in three hospitals. We evaluated the symptomatic, clinical, and laboratory parameters to identify the predictors of SBP. The primary diagnostic model was displayed as a nomogram. RESULTS: The model included abdominal pain, diarrhea, white blood cell count, neutrophil percentage, procalcitonin, C-reactive protein, lactate dehydrogenase, glucose, and Model for End-stage Liver Disease score. The model's diagnostic performance was good, with an AUC of 0.84 [95% confidence interval (CI), 0.81-0.87] in the training cohort. In the validation cohort, the diagnostic ability was also good, with AUCs of 0.87 (95% CI, 0.83-0.91) and 0.90 (95% CI, 0.87-0.94) for inner and outer validation queues, respectively. Moreover, the decision curve analysis confirmed the clinical utility of the nomogram model. In addition, we developed a Microsoft Excel calculation model to allow convenient adoption of the model in clinical practice. CONCLUSION: We developed good performing diagnostic models for SBP.

[Predictive value of plasma exosome count for the prognosis in septic patients].

OBJECTIVE: To investigate the predictive value of plasma exosome count for the prognosis of patients with sepsis. METHODS: A prospective observational study was conducted. The patients with sepsis admitted to intensive care unit (ICU) of Zhejiang Hospital from November 2020 to December 2021 were enrolled as the study subjects. On the 1st day of admission to the ICU, the patient's gender, age, underlying disease, infection site, mean arterial pressure (MAP) and severity scores were recorded, and venous blood was taken for detecting the blood routine, blood biochemistry, and procalcitonin (PCT), and arterial blood was taken for blood gas analysis, simultaneously, the patient's noradrenaline (NA) dosage was recorded. On the 1st, 3rd, 5th, and 7th day of ICU admission, plasma exosomes were extracted, and the number of exosomes was detected by nanoparticle tracking analyzer. The endpoint of observation was the death of the patient 28 days after admission to the ICU. The differences in baseline data and plasma exosome counts of patients with different 28-day prognosis were analyzed and compared. The Spearman correlation method was used to analyze the correlation between plasma exosome counts and other clinical indicators. Binary multivariate Logistic regression analysis was used to screen the 28-day death risk factors of septic patients. The receiver operator characteristic curve (ROC curve) was plotted to analyze the predictive value of each index on the 28-day death of septic patients. The Kaplan-Meier method was used to analyze the 28-day survival curve. RESULTS: A total of 26 patients with sepsis were enrolled, of whom 21 survived and 5 died on the 28th day. Compared with the survival group, the patients in the death group had lower MAP, higher sequential organ failure assessment (SOFA) score, acute physiology and chronic health evaluation II (APACHE II) score, white blood cell count (WBC), cardiac troponin I (cTnI), and worse oxygenation. The plasma exosome count on the 1st day of ICU admission in the death group was significantly higher than that in the survival group (×1015/L: 16.96±9.11 vs. 5.20±2.42, P < 0.05). Subsequently, the plasma exosome counts in both groups continued to decrease, and there was no statistically significant difference between the two groups. Spearman correlation analysis showed that the plasma exosome count on the 1st day of ICU admission in septic patients was significantly positively correlated with SOFA score, APACHE II score, blood lactic acid (Lac), alanine aminotransferase (ALT) and NA dosage (r values were 0.572, 0.585, 0.463, 0.411, 0.696, all P < 0.05), and it significantly negatively correlated with MAP and oxygenation index (PaO2/FiO2; r values were -0.392 and -0.496, both P < 0.05). Multivariate Logistic regression analysis showed that plasma exosome count on the 1st day of ICU admission was an independent risk factor for 28-day death in septic patients [odds ratio (OR) = 1.385, 95% confidence interval (95%CI) was 1.075-1.785, P = 0.012]. ROC curve analysis showed that the area under the ROC curve (AUC) of plasma exosome count on the 1st day of ICU admission for predicting 28-day death in septic patients was 0.800 (95%CI was 0.449-1.000); when the optimal cut-off value was 14.50×1015/L, the sensitivity was 80.0% and the specificity was 100%. According to the optimal cut-off value of 1-day plasma exosome count, the patients were divided into two groups for Kaplan-Meier survival curve analysis, and the results showed that the cumulative survival rate of patients with plasma exosome count < 14.50×1015/L was significantly higher than that of patients with plasma exosome count ≥ 14.50×1015/L (Log-Rank test: χ 2 = 19.100, P < 0.001). CONCLUSIONS: The plasma exosome count of septic patients is significantly increased on the 1st day of admission to the ICU, which is related to the severity, and can predict the risk of death at 28 days.

Acute-phase proteins as indicators of disease severity and mortality in COVID-19 patients.

The aim of the study was to conduct of relationship of acute-phase proteins (APPs) with the severity of COVID-19 defined by National Institutes of Health and according to the criteria of MEWS scale, with the presence of a cytokine storm, oxygen therapy and patient survival. We enrolled 96 patients with COVID-19 and 30 healthy people. The samples were taken on the day of admission and after 9 days on average. Not only commonly used APPs such as CRP, procalcitonin and ferritin and also rarely assayed proteins such as transferrin, haptoglobin, α1-acid glycoprotein and α1-antitrypsin, were tested in the study. The levels of APPs depends on the severity of COVID-19 disease, on the presence of cytokine storm and used oxygen therapy. The greatest APPs changes occurred in the most advanced form of the disease, with the presence of a cytokine storm and the most intense oxygen therapy. The results obtained from MEWS scale were not consistent with National Institutes of Health scores. Studies in the second samples showed the quenching of the acute phase reactions and the effectiveness of oxygen therapy. Only two of the examined APPs i.e. procalcitonin and transferrin, differed between surviving and non-surviving patients, and these two predispose to the role of prognostic factors in Covid-19. In conclusion, the concentration of not all acute-phase proteins depends on the severity of COVID-19 disease, presence of cytokine storm, the used of oxygen therapy and only some of them (procalcitonin and transferrin) are related to the survival outcomes. Of the newly tested acute-phase proteins, only transferrin shows significance as a marker of disease severity and mortality in COVID-19 disease.

Prognostic risk factors for pyogenic liver abscess caused by Klebsiella pneumoniae.

BACKGROUND: Pyogenic liver abscess (PLA) caused by Klebsiella pneumoniae can vary in severity, and several risk factors for the development of organ dysfunction in PLA have been implicated. However, few studies to date have explored the most common risk factors for clinical severity. METHODS: We conducted a study on patients with PLA caused by Klebsiella pneumoniae between February 2013 and December 2022.Using logistic regression analysis, we sought to identify factors associated with positive blood culture, septic shock, and intensive care unit (ICU) admission. RESULTS: After included 200 patients, we found that an elevated procalcitonin (PCT) level (p = 0.03), higher glucose level (p = 0.03), and lower total cholesterol (TC) level (p = 0.01) were associated with a higher likelihood of positive blood bacteriological culture. Additionally, an increased PCT level (p = 0.02) and lower TC level (p < 0.01) were associated with an elevated risk of septic shock. Furthermore, a higher PCT level (p < 0.01) was associated with a higher probability of ICU admission. CONCLUSION: In patients with PLA caused by Klebsiella pneumoniae, the PCT, glucose, and TC levels were found to be associated with positive blood culture, septic shock, and ICU admission.

Association of procalcitonin with voriconazole concentrations: a retrospective cohort study.

Inflammation is a potential risk factor of voriconazole (VCZ) overdose, procalcitonin (PCT) is reported to act as a diagnostic marker for bacterial infections. However, the association of PCT with VCZ trough serum concentrations (VCZ-Cmin) is not fully clear. Our study aims to investigate the associations between PCT and VCZ-Cmin. In this retrospective cohort study, we collected the clinical data of 147 patients who received VCZ and monitored the VCZ concentration of them in our hospital from August 2017 to August 2021. All patients underwent routine clinical examinations on the day or the day before VCZ administration. General information and clinical symptoms of these patients were recorded. Multivariate liner analysis showed that PCT was significantly associated with VCZ-Cmin (p < 0.001). Overall, it was shown that VCZ-Cmin was significantly increased by 0.32 µg/mL for each fold increment in PCT in crude model. In the minor adjusted model (Model 1, adjustment for sex, age, albumin, direct bi1irubin, WBC) and fully adjusted model (Model 2, adjustment for sex, age, albumin, direct bilirubin, WBC, AST and ALT), VCZ-Cmin was significantly increased by 0.23 µg/mL and 0.21 µg/mL, respectively, for each fold increment in PCT. In conclusion, this research reveals the correlation between PCT and VCZ-Cmin, indicating that PCT has the potential to serve as a valuable biomarker for drug monitoring in the treatment of VCZ.

Establishment and validation of a prognostic model based on common laboratory indicators for SARS-CoV-2 infection in Chinese population.

BACKGROUND: At the beginning of December 2022, the Chinese government made major adjustments to the epidemic prevention and control measures. The epidemic infection data and laboratory makers for infected patients based on this period may help with the management and prognostication of COVID-19 patients. METHODS: The COVID-19 patients hospitalized during December 2022 were enrolled. Logistic regression analysis was used to screen significant factors associated with mortality in patients with COVID-19. Candidate variables were screened by LASSO and stepwise logistic regression methods and were used to construct logistic regression as the prognostic model. The performance of the models was evaluated by discrimination, calibration, and net benefit. RESULTS: 888 patients were eligible, consisting of 715 survivors and 173 all-cause deaths. Factors significantly associated with mortality in COVID-19 patients were: lactate dehydrogenase (LDH), albumin (ALB), procalcitonin (PCT), age, smoking history, malignancy history, high density lipoprotein cholesterol (HDL-C), lactate, vaccine status and urea. 335 of the 888 eligible patients were defined as ICU cases. Seven predictors, including neutrophil to lymphocyte ratio, D-dimer, PCT, C-reactive protein, ALB, bicarbonate, and LDH, were finally selected to establish the prognostic model and generate a nomogram. The area under the curve of the receiver operating curve in the training and validation cohorts were respectively 0.842 and 0.853. In terms of calibration, predicted probabilities and observed proportions displayed high agreements. Decision curve analysis showed high clinical net benefit in the risk threshold of 0.10-0.85. A cutoff value of 81.220 was determined to predict the outcome of COVID-19 patients via this nomogram. CONCLUSIONS: The laboratory model established in this study showed high discrimination, calibration, and net benefit. It may be used for early identification of severe patients with COVID-19.

Towards improved point-of-care (POC) testing for patients with suspected sepsis: POC tests for host biomarkers and possible microbial pathogens.

INTRODUCTION: Sepsis is a heterogeneous syndrome often misdiagnosed. Point-of-care (POC) diagnostic tests are commonly used to guide decision and include host biomarkers and molecular diagnostics. AREAS COVERED: The diagnostic and prognostic accuracy of established and emerging biomarkers for sepsis, including procalcitonin (PCT) soluble urokinase plasminogen activator receptor (suPAR), presepsin, TRAIL/IP-10/CRP, MxA, and MxA-CRP, are analyzed in this review. The clinical utility of the two prevalent molecular techniques for pathogens identification using polymerase chain reaction (PCR) assays is also presented: FILMARRAY and QIAstat-Dx RP. EXPERT OPINION: The rising benefits of the combined use of POC biomarkers with molecular diagnostics in daily clinical routine appear to outperform conventional practices in terms of reduced turnaround time, timely diagnosis, and prompt administration of the appropriate treatment. Yet, this must be further demonstrated in future investigations. However, the cost-effectiveness of POC tests and the high rate of false positive and negative results, indicate the need for a comprehensive clinical evaluation.

Effects of N-Acetylcysteine combined with Ambroxol Hydrochloride on clinical symptoms, CRP, and PCT in children with pneumonia.

OBJECTIVE: This study investigated the effects of N-Acetylcysteine (NAC) combined with Ambroxol Hydrochloride (AH) on clinical symptoms, C-Reactive Protein (CRP), and Procalcitonin (PCT) levels in children with pneumonia. METHODS: A total of 98 children with pneumonia were assigned to the control group and observation group by random number table method. NAC was administered to the observation group and AH was given to the control group. The therapeutic effect was observed, the disappearance time of clinical symptoms and levels of inflammatory factors, lung function parameters, blood gas analysis parameters, and immunoglobulin were measured. The incidence of adverse reactions was statistically analyzed. RESULTS: A higher effective rate was observed in the observation group than in the control group (p < 0.05). Antipyretic time, cough disappearance time, and lung rale disappearance time in the observation group were shorter than those in the control group (p < 0.05). After treatment, CRP and PCT were lower (p < 0.05), FVC, FEV1, and FEV1/FVC were higher, PaCO2 was lower, PaO2 and SaO2 were higher, and IgA, IgG, IgM, and C3 were higher in the observation group than those in the control group (p < 0.05). The incidence of adverse reactions between the two groups was not significantly different (p > 0.05). CONCLUSION: NAC combined with AH is effective in the treatment of pediatric pneumonia by effectively alleviating clinical symptoms, reducing inflammatory factors, and improving lung function and immune function.

Procalcitonin for safe reduction of unnecessary blood cultures in the emergency department: Development and validation of a prediction model.

OBJECTIVES: Blood cultures (BCs) are commonly ordered in emergency departments (EDs), while a minority yields a relevant pathogen. Diagnostic stewardship is needed to safely reduce unnecessary BCs. We aimed to develop and validate a bacteremia prediction model for ED patients, with specific focus on the benefit of incorporating procalcitonin. METHODS: We included adult patients with suspected bacteremia from a Dutch ED for a one-year period. We defined 23 candidate predictors for a "full model", of which nine were used for an automatable "basic model". Variations of both models with C-reactive protein and procalcitonin were constructed using LASSO regression, with bootstrapping for internal validation. External validation was done in an independent cohort of patients with confirmed infection from 71 Spanish EDs. We assessed discriminative performance using the C-statistic and calibration with calibration curves. Clinical usefulness was evaluated by sensitivity, specificity, saved BCs, and Net Benefit. RESULTS: Among 2111 patients in the derivation cohort (mean age 63 years, 46% male), 273 (13%) had bacteremia, versus 896 (20%) in the external cohort (n = 4436). Adding procalcitonin substantially improved performance for all models. The basic model with procalcitonin showed most promise, with a C-statistic of 0.87 (0.86-0.88) upon external validation. At a 5% risk threshold, it showed a sensitivity of 99% and could have saved 29% of BCs while only missing 10 out of 896 (1.1%) bacteremia patients. CONCLUSIONS: Procalcitonin-based bacteremia prediction models can safely reduce unnecessary BCs at the ED. Further validation is needed across a broader range of healthcare settings.

Can We Improve Mortality Prediction in Patients with Sepsis in the Emergency Department?

Background and Objectives: Sepsis represents a global health challenge and requires advanced diagnostic and prognostic approaches due to its elevated rate of morbidity and fatality. Our study aimed to assess the value of a novel set of six biomarkers combined with severity scores in predicting 28 day mortality among patients presenting with sepsis in the Emergency Department (ED). Materials and Methods: This single-center, observational, prospective cohort included sixty-seven consecutive patients with septic shock and sepsis enrolled from November 2020 to December 2022, categorized into survival and non-survival groups based on outcomes. The following were assessed: procalcitonin (PCT), soluble Triggering Receptor Expressed on Myeloid Cells-1 (sTREM-1), the soluble form of the urokinase plasminogen activator receptor (suPAR), high-sensitivity C-reactive protein (hs-CRP), interleukin-6 (IL-6), and azurocidin 1 (AZU1), alongside clinical scores such as the Quick Sequential Organ Failure Assessment (qSOFA), Systemic Inflammatory Response Syndrome (SIRS), the Sequential Organ Failure Assessment (SOFA), the Acute Physiology and Chronic Health Evaluation II (APACHE II), the Simplified Acute Physiology Score II and III (SAPS II/III), the National Early Warning Score (NEWS), Mortality in Emergency Department Sepsis (MEDS), the Charlson Comorbidity Index (CCI), and the Glasgow Coma Scale (GCS). The ability of each biomarker and clinical score and their combinations to predict 28 day mortality were evaluated. Results: The overall mortality was 49.25%. Mechanical ventilation was associated with a higher mortality rate. The levels of IL-6 were significantly higher in the non-survival group and had higher AUC values compared to the other biomarkers. The GCS, SOFA, APACHEII, and SAPS II/III showed superior predictive ability. Combining IL-6 with suPAR, AZU1, and clinical scores SOFA, APACHE II, and SAPS II enhanced prediction accuracy compared with individual biomarkers. Conclusion: In our study, IL-6 and SAPS II/III were the most accurate predictors of 28 day mortality for sepsis patients in the ED.

The value of serum PCT/ALB and CRP/ALB ratios in evaluating the condition and prognosis of craniocerebral trauma.

INTRODUCTION: The aim of the study was to explore the value of serum procalcitonin to albumin (PCT/ALB) and C-reactive protein to albumin (CRP/ALB) ratios in evaluating the condition and prognosis of craniocerebral trauma (CT). MATERIAL AND METHODS: 158 patients with CT admitted to the emergency department of our hospital from January 2020 to June 2022 were selected as the study subjects. According to the Glasgow coma scale (GCS) score, 158 patients with CT were grouped in a mild group (GCS score 13-15 points, n = 68), a moderate group (GCS score 9-12 points, n = 61), and a severe group (GCS score 3-8 points, n = 29). Besides, according to the patient's Glasgow prognosis (GOS) score, 158 patients with CT were divided into a good prognosis group (GOS score 4-5 points, n = 110) and a poor prognosis group (GOS score 1-3 points, n = 48). Serum PCT/ALB and CRP/ALB levels of different groups were compared. The correlation between PCT/ALB and CRP/ALB ratios and the score of GCS and GOS was explored using Pearson correlation analysis. Prognosis-related influencing factors were found out through multivariate logistic regression. The value of serum PCT/ALB and CRP/ALB ratios in evaluating the condition and prognosis of CT was evaluated by the ROC curve. RESULTS: Patients in the moderate and severe groups had much higher ratios of PCT/ALB and CRP/ALB and sharply lower GCS scores than those in the mild group ( p < 0.001). Compared with the patients in the moderate group, those in the severe group had much higher PCT/ALB and CRP/ALB ratios and obviously lower GCS scores ( p < 0.001). Patients with poor prognosis had markedly higher PCT/ALB and CRP/ALB ratios and memorably lower GOS score than the patients with good prognosis ( p < 0.001). A negative correlation between PCT, CRP, PCT/ALB ratio, CRP/ALB ratio and GCS scores ( r = -0.821, -0.857, -0.750, -0.766, p < 0.001) and GOS scores ( r = -0.636, -0.628, -0.595, -0.628, p < 0.001) was revealed by Pearson correlation analysis. ALB was correlated positively with GCS score and GOS score ( r = 0.381, 0.413, p < 0.001). Multivariate logistic regression analysis exhibited that PCT/ALB ratio and CRP/ALB ratio were related to poor prognosis of CT patients ( p < 0.05). ROC curve analysis showed that the combined PCT/ALB ratio and CRP/ALB area under the curve (AUC) were 0.883 and 0.860, respectively, which were used to assess the severity and predict prognosis of patients with CT. CONCLUSIONS: PCT/ALB and CRP/ALB ratios were positively correlated with the severity and prognosis of patients with CT, and were risk factors for poor prognosis. Early determination of changes in PCT/ALB and CRP/ALB ratios had a certain clinical value for evaluating the condition and prognosis of CT patients.

Predicting septic shock in obstructive pyelonephritis associated with ureteral stones: A retrospective study.

To identify the best combination of potential predictors of septic shock in patients with obstructive acute pyelonephritis associated with ureteral stones (OAPN-US) according to Sepsis-3 criteria. Patients who underwent percutaneous nephrostomy (PCN) with OAPN-US were retrospectively evaluated. Recursive feature elimination (RFE) was applied to patients with and without septic shock to identify factors associated with the prediction of progression to septic shock. We compared combinations of the selected features based on area under the receiver operating curve (AUROC) to determine which combination was most effective. This study included 81 patients who were treated with PCN due to OAPN-US. A comparison was made between 37 patients with septic shock (SS) and 44 patients without septic shock (NSS). SS group had a higher age, poorer Eastern Cooperative Oncology Group status, and significantly higher levels of positivity in urine cultures and blood cultures. There were also differences in laboratory tests between the 2 groups. Procalcitonin (PCT), international normalized ratio (INR), and absolute lymphocyte count (ALC) were selected based on RFE. We compared the predictive power for SS when each marker was used alone, when 2 markers were combined, and when all 3 markers were combined. Among these combinations, using all 3 variables together yielded the highest AUROC of 0.942. Of the 3 variables, PCT had the highest Gini importance score, indicating that it was the most influential factor. Clinical characteristics were different between the SS and the NSS groups. In patients with OAPN-US, the combination of PCT, ALC, and INR was an excellent predictor of septic shock.

Exploring Ventilator-Associated Pneumonia: Microbial Clues and Biomarker Insights from a Retrospective Study.

Background and Objectives: Ventilator-associated pneumonia (VAP) is a common complication in critically ill patients receiving mechanical ventilation. The incidence rates of VAP vary, and it poses significant challenges due to microbial resistance and the potential for adverse outcomes. This study aims to explore the microbial profile of VAP and evaluate the utility of biomarkers and illness severity scores in predicting survival. Materials and Methods: A retrospective cohort study was conducted involving 130 patients diagnosed with VAP. Microbial analysis of bronchoalveolar lavage (BAL) fluid, as well as measurements of C-reactive protein (CRP) and procalcitonin (PCT) levels, were performed. Sequential Organ Failure Assessment (SOFA) and Acute Physiology and Chronic Health Evaluation II (APACHE II) scores were calculated to assess illness severity. Statistical analyses were conducted to determine correlations and associations. Results: The study revealed that Klebsiella pneumoniae (K. pneumoniae) (50.7%) and Pseudomonas aeruginosa (P. aeruginosa) (27.69%) were the most identified microorganisms in VAP cases. SOFA (p-value < 0.0001) and APACHE II (p-value < 0.0001) scores were effective in assessing the severity of illness and predicting mortality in VAP patients. Additionally, our investigation highlighted the prognostic potential of CRP levels (odds ratio [OR]: 0.980, 95% confidence interval [CI] 0.968 to 0.992, p = 0.001). Elevated levels of CRP were associated with reduced survival probabilities in VAP patients. Conclusion: This study highlights the microbial profile of VAP and the importance of biomarkers and illness severity scores in predicting survival. Conclusions: The findings emphasize the need for appropriate management strategies to combat microbial resistance and improve outcomes in VAP patients.

Biomarker guided antibiotic stewardship in community acquired pneumonia: A randomized controlled trial.

BACKGROUND: In community-acquired pneumonia (CAP), the role of biomarkers to shorten duration of antibiotic treatment has not been firmly established. We assessed the effectiveness of active feedback of treatment algorithms based on procalcitonin (PCT) and C-reactive protein (CRP), compared to standard care, on the duration of antibiotic treatment in patients hospitalized with community-acquired pneumonia (CAP) in non-ICU wards. METHODS AND FINDINGS: We performed a randomised, open label, parallel group, multi-centre trial in 3 Dutch teaching hospitals. Treatment was guided by a PCT algorithm, CRP algorithm or standard care. Participants were recruited by a member of the study team and randomised at day 2-3 of admission in a 1:1:1 ratio. Treatment was discontinued upon predefined thresholds of biomarkers that were assessed on admission, day 4 and days 5-7 if indicated. The primary outcome was total days on antibiotic treatment until day 30. In total 468 participants were included in this study. The median days on antibiotics (IQR) was 7 (IQR 7-10) in the control group, 4 (IQR 3-7) in the CRP group (rate ratio (RR) of 0.70, 95% CI 0.61-0.82 compared to standard care; p <0.001), and 5.5 (IQR 3-9) in the PCT group (RR of 0.78, 95% CI 0.68-0.89 compared to standard care; p <0.001). New antibiotics within the first 30 days were prescribed to 24, 23 and 35 patients in standard care, CRP and PCT groups, respectively. The hazard ratio for a new prescription in patients in the PCT group compared to standard care 1.63 (CI 0.97-2.75; p = 0.06). No difference in time to clinical stability or length of stay was found. CONCLUSIONS: A strategy of feedback of CRP-guided and PCT-guided treatment algorithms reduced the number of days on antibiotic in the first 30 days after hospital admission in non-ICU wards for CAP. The study was not powered to determine safety of shortening duration of antibiotic treatment. (NCT01964495).

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.

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Objective: To observe the diagnostic value of four serum inflammatory biomarkers, including interleukin 6 (IL-6), interleukin 12P70 (IL-12P70), serum amyloid A (SAA), and procalcitonin (PCT), in rheumatoid arthritis (RA) and to analyze their relationship with the disease activity. Methods: The study included 60 RA patients admitted to the Department of Rheumatology at Anhui Provincial Hospital of Traditional Chinese Medicine between December 2022 and December 2023. Thirty healthy individuals from the hospital's physical examination center served as the control group. Serum levels of IL-6 and IL-12P70 were detected using flow cytometry. SAA levels were determined by immunoturbidimetry, and PCT levels were assessed by chemiluminescence. Erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), rheumatoid factor (RF), and anticyclic citrullinated peptide (ACCP) were detected using an automated biochemical analyzer. The 28-joint disease activity scores (DAS28-ESR) based on ESR were observed. Statistical analysis included t-tests, rank-sum tests, and Kruskal-Wallis H tests to compare the expression differences of the biomarkers among different groups. The diagnostic value of these biomarkers for RA was analyzed by ROC curve analysis. Spearman correlation analysis was performed to assess the relationships between the four inflammatory biomarkers and CRP, ESR, RF, ACCP, and DAS28-ESR. Results: 1) The expression levels of SAA, IL-6, and IL-12P70 in the RA group were significantly higher than those in the control group (P<0.01). 2) ROC curve analysis showed that the area under the curve (AUC) for PCT was 0.611 (95% confidence interval [CI]: 0.488-0.735, P>0.05), for SAA, it was 0.819 (95% CI: 0.733-0.906, P<0.01), for IL-6, it was 0.875 (95% CI: 0.803-0.946, P<0.01), and for IL-12P70, it was 0.832 (95% CI: 0.746-0.917, P<0.01). The combined index of IL-6, IL-12P70, SAA, and PCT had an AUC of 0.973 (95% CI: 0.942-1.000, P<0.01). This indicates that the four inflammatory biomarkers can assist in the diagnosis of rheumatoid arthritis. 3) The expression levels of PCT and SAA varied significantly among the high, moderate, and low activity RA groups (P<0.01). 4) In RA patients, CRP was positively correlated with SAA (rs =0.75, P<0.01), and IL-6 (rs =0.52, P<0.01). ESR was positively correlated with SAA (rs =0.36, P<0.01). DAS28-ESR was positively correlated with PCT (rs =0.34, P=0.01), SAA (rs =0.51, P<0.01) and IL-6 (rs =0.33, P=0.01). Conclusion: The four inflammatory biomarkers (PCT, SAA, IL-6, and IL-12P70) are closely related to rheumatoid arthritis disease activity and can serve as serum indicators to assist in the diagnosis and assessment of RA.