Search Results (81)

Background: The identification and clinical implementation of robust biomarkers are essential for improving diagnosis, prognosis, and treatment across a wide range of diseases. Pancreatic stone protein (PSP) has recently emerged as a promising candidate biomarker. Objective: This narrative review aims to provide an updated and comprehensive overview of the clinical applications of PSP in infectious, oncological, metabolic, and surgical contexts. Methods: We conducted a structured literature search using PubMed^®, applying the SANRA framework for narrative reviews. Boolean operators were used to retrieve relevant studies on PSP in a wide range of clinical conditions, including sepsis, gastrointestinal cancers, diabetes, and ventilator-associated pneumonia. Results: PSP has shown strong diagnostic and prognostic potential in sepsis, where it may outperform traditional markers such as CRP and PCT. It has also demonstrated relevance in gastrointestinal cancers, type 1 and type 2 diabetes, and perioperative infections. PSP levels appear to rise earlier than other inflammatory markers and may be less affected by sterile inflammation. Conclusion: PSP represents a versatile and clinically valuable biomarker. Its integration into diagnostic protocols could enhance early detection and risk stratification in critical care and oncology settings. However, widespread adoption is currently limited by the availability of point-of-care assay platforms. Full article

Background/Objectives: Clostridioides difficile infection (CDI) is a major cause of infectious diarrhea in the inpatient and community setting. Real-world data outside the strict environment of randomized controlled trials (RCTs) are needed to improve the quality of evidence. The aim of this study was to compare different clinical outcomes of CDI patients treated with fidaxomicin with those treated with vancomycin using a representative patient population in the United States of America (USA). Methods: Comprehensive real-world data were analyzed for this retrospective observational study, provided by the TriNetX database, an international research network with electronic health records from multiple USA healthcare providers. This includes in- and outpatients treated with fidaxomicin (FDX) or vancomycin (VAN) for CDI between 01/2013 and 12/2023. The following cohorts were compared: (i) patients treated with fidaxomicin within 10 days following CDI diagnosis (FDX group) vs. (ii) patients treated with vancomycin within 10 days following CDI diagnosis (VAN group). Outcomes analysis between the two cohorts was performed after propensity score matching and included event risk and Kaplan–Meier survival analyses for the following concomitant diseases/events occurring during an observational period of 12 months following CDI diagnosis: death, sepsis, candidiasis, infections caused by vancomycin-resistant enterococci, inflammatory bowel disease, cardiovascular disease, psychological disease, central line-associated blood stream infection, surgical site infection, and ventilator-associated pneumonia. Results: Following propensity score matching, 2170 patients were included in the FDX group and VAN groups, respectively. The event risk analysis demonstrated improved outcomes of patients treated with FDX compared to VAN in 6 out of the 10 events that were analyzed. The highest risk ratio (RR) and odds ratio (OR) were found for sepsis (RR: 3.409; OR: 3.635), candidiasis (RR: 2.347; OR: 2.431), and death (RR: 1.710; OR: 1.811). The Kaplan–Meier survival analysis showed an overall survival rate until the end of the 12-month observational period of 87.06% in the FDX group and 78.49% in the VAN group (log-rank p < 0.001). Conclusions: Our comparative event risk analysis demonstrated improved outcomes for patients treated with FDX compared to VAN in most of the observed events and underlines the results of previously conducted RCTs, highlighting the beneficial role of FDX compared to VAN. Further big data analyses from other industrialized countries are needed for comparison with our observations. Full article

Background/Objectives: Necrotizing pneumonia (NP) is an uncommon, severe complication of community-acquired pneumonia (CAP) associated with increased hospital length of stay and high morbidity and mortality. Although this entity was described several decades ago, there is no consensus on radiological criteria for diagnosis, optimal antibiotic duration, or data on clinical outcomes in adults. Given the paucity of data on this entity, a retrospective cohort study was conducted at our institution to evaluate factors associated with all-cause mortality, hospital length of stay, and duration of antibiotics. Methods: An IRB-approved retrospective cohort analysis was conducted through electronic health record review at a tertiary academic center at the University of Florida—Jacksonville. The electronic health record was queried for a list of all hospitalizations from 1 January 2016 to 31 December 2023 with an International Classification of Diseases, 10th revision diagnosis code of J85.0 (gangrene and necrosis of the lung). The primary outcome was all-cause mortality, and secondary outcomes were hospital length of stay and duration of antibiotics. Results: A total of 57 patients met the definition of necrotizing pneumonia and were included in our study. Fourteen (24.6%) patients died while hospitalized. The mean length of hospital stay was 26.6 days, and the median duration of antibiotics was 28 days. The only statistically significant predictor in the model of all-cause mortality was the requirement of mechanical ventilation, with mortality being 27 times more likely in patients requiring mechanical ventilation (OR 27.6 (95% CI (2.6924, 671.9648)); p = 0.011). Conclusions: To our knowledge, this is the largest cohort of adult patients with NP in the literature. We found that mortality was 24.6%, with the requirement of mechanical ventilation associated with 27 times higher risk of mortality on multivariable logistic regression analysis. Full article

Staphylococcus aureus, Pseudomonas aeruginosa, Acinetobacter species, and Candida species are common ventilator-associated pneumonia (VAP) isolates. Whilst the clinical significance of Candida as a VAP isolate is unclear, evidence is emerging that Candida interacts with bacteria, contributing to colonization susceptibility. Indirectly, VAP isolate data reflect patient colonization within cohorts. The objective here is to estimate the association between these three bacteria and Candida as VAP isolates. ICU cohorts were obtained by searching the literature for mechanically ventilated (MV) patient cohorts in which Candida was listed as an isolate among patients with VAP. Regression models of the associated VAP incidence per 100 MV patients, using random effects methods, incorporated group-level factors such as the year of publication, mode of VAP diagnosis, and ICU stay length. The median VAP incidence proportions for Staphylococcus aureus, Pseudomonas aeruginosa, and Acinetobacter species were 3.3 (IQR: 1.2–6.9), 3.6 (IQR: 1.8–5.7), and 1.2 (IQR: 0.4–4.1), respectively. Among 84 cohorts from 67 publications, Staphylococcus aureus (correlation coefficient = 0.759) and Pseudomonas aeruginosa (0.749), and less so Acinetobacter species (0.53), each show correlation with the isolation of Candida species among these ICU populations. These associations may underlie the poor prognosis with Candida colonization. Full article

Background: Ventilator-associated pneumonia (VAP) is a common and serious ICU complication, affecting up to 40% of mechanically ventilated patients. The diagnosis of VAP currently relies on retrospective clinical, radiological, and microbiological criteria, which often delays targeted treatment and promotes the overuse of broad-spectrum antibiotics. The early prediction of VAP is crucial to improve outcomes and guide antimicrobial use related to this disease. This study aimed to develop and validate PREDICT (Pneumonia Risk Evaluation and Diagnostic Intelligence via Computational Technology), a deep learning algorithm for early VAP prediction that is based solely on vital signs. Methods: We conducted a retrospective cohort study using the MIMIC-IV database, which includes ICU patients who were ventilated for at least 48 h. Five vital signs (respiratory rate, SpO₂, heart rate, temperature, and mean arterial pressure) were structured into 24 h temporal windows. The PREDICT model, based on a long short-term memory neural network, was trained to predict the onset of VAP 6, 12, and 24 h in the future. Its performance was compared to that of conventional machine learning models (random forest, XGBoost, logistic regression) using their AUPRC, sensitivity, specificity, and predictive values. Results: PREDICT achieved high predictive accuracy with AUPRC values of 96.0%, 94.1%, and 94.7% at 6, 12, and 24 h before the onset of VAP, respectively. Its sensitivity and positive predictive values exceeded 85% across all horizons. Traditional ML models showed a drop in performance over longer timeframes. Analysis of the model’s explainability highlighted the respiratory rate, SpO₂, and temperature as key predictive features. Conclusions: PREDICT is the first deep learning model specifically designed for early VAP prediction in ICUs. It represents a promising tool for timely clinical decision-making and improved antibiotic stewardship. Full article

Background/Objectives: In recent years, inflammatory markers have been increasingly utilized to predict disease prognosis. The neutrophil percentage-to-albumin ratio (NPAR) has emerged as a novel biomarker reflecting inflammation and systemic response. This study was conducted to evaluate the prognostic value of NPAR in pneumonia patients aged 80 years and older hospitalized in intensive care. Methods: Patients aged 80 years and older who were followed up in the intensive care unit with a diagnosis of pneumonia between 1 October 2022, and 31 May 2024, were retrospectively reviewed. Demographic characteristics, laboratory data, disease severity scores (APACHE II, SOFA), intensive care interventions, and variables associated with mortality were analyzed. NPAR was calculated by dividing the neutrophil percentage by the serum albumin level. The prognostic value of NPAR was assessed using Kaplan–Meier survival analysis, receiver operating characteristic (ROC) curve analysis, and Cox regression analysis. Results: A total of 135 patients were included in the study. Patients with NPAR > 0.286 had significantly higher SOFA (p = 0.002) and APACHE II (p = 0.007) scores. The high NPAR group was at significantly greater risk for requiring invasive mechanical ventilation (p = 0.003), vasopressor support (p = 0.042), and developing sepsis (p = 0.035). Elevated NPAR was strongly associated with mortality (p < 0.001) and was identified as an independent predictor of mortality in the Cox regression analysis (HR = 2.488, 95% CI: 1.167–5.302, p = 0.018). Conclusions: NPAR may serve as an effective biomarker for predicting disease severity and mortality risk in pneumonia patients aged 80 years and older. Due to its simplicity and accessibility, it can be considered a practical parameter for integration into clinical practice. However, large-scale, multicenter, and prospective studies are needed to validate these findings. Full article

Background: Active nasal surveillance culture (ANSC) is recognized to enable rapid detection of antibiotic-resistant bacteria in the intensive care unit (ICU), which can contribute to the prevention of Ventilator-associated pneumonia (VAP). This study aims to evaluate the usefulness of ANSC in assessing the development of VAP in ICU patients. Methods: Patients admitted to the Yamagata Prefectural Central Hospital ICU from January 2017 to 2018 (Term 1) or January 2020 to December 2021 (Term 2) and underwent invasive mechanical ventilation supports were eligible for this study. Nasal swab samples were collected from the patients upon their admission to the ICU. The diagnosis of VAP was made according to the criteria set by the Centers for Disease Control and Prevention. Results: A total of 467 patients (156 women) in term 1, and 312 patients (113 women) in term 2 were enrolled. The incidence of VAP in term 2 was higher than in term 1 (7.1% vs. 12.8%, respectively). ANSC isolated several causative pathogens from the patients on admission who later developed VAP. Haemophilus influenza, Streptococcus pneumoniae, Stenotrophomonas maltophilia, and Pseudomonas aeruginosa had a 100% match rate with the sputum culture, indicating a perfect relation between ANSC results and sputum culture in VAP (+) cases. Conclusions: The isolation of high-risk bacterial species by ANSC could foresee the development of VAP in ICU patients and efficiently prevent VAP in critically ill patients. Full article

Background and Objectives: Frailty can represent the transitional stage between successful aging and old age in need of care; it is a guide for setting goals for regaining robust old age in the individual at risk. Frailty is associated with longer intensive care unit duration, hospital stay, and higher mortality. The aim of this study was to evaluate the relationship between mortality and frailty in geriatric patients (65 years and older) admitted to the intensive care unit with a diagnosis of pneumonia. Materials and Methods: In total, 478 patients were included in the study. The demographic data, such as age, gender, body mass index (BMI), Charlson comorbidity index (CCI), Clinical Frailty Scale (CFS), acute physiology and chronic health evaluation (APACHE II) scores, sequential organ failure assessment score (SOFA), invasive/noninvasive mechanical ventilator days, length of stay in the hospital and intensive care unit, inotropic requirement, and 28-day mortality, were retrospectively scanned and recorded. Results: Advanced age, lower BMI, higher Charlson Comorbidity index (CCI), SOFA score, and CFS increased 28-day mortality. CFS was found to be associated with 28-day mortality similar to the use of inotropic agents, prolonged MV duration, and ICU length of stay (LOS). Conclusions: CFS is effective in predicting 28-day mortality in geriatric patients diagnosed with pneumonia in intensive care. It also provides insights into morbidity parameters such as requirement for inotropic agents, duration of mechanical ventilation (MV), and LOS ICU. Full article

Background and Clinical Significance: Nephrotic syndrome predisposes patients to venous thromboembolism. This case highlights the challenges of diagnosing pulmonary embolism in nephrotic syndrome patients with renal dysfunction, and emphasizes the utility of ventilation–perfusion lung scintigraphy when the contrast is contraindicated. Case Presentation: A 52-year-old male presented with fatigue, left back pain, dyspnea, and lower limb edema. The laboratory findings indicated nephrotic syndrome with significant proteinuria, hypoalbuminemia, and impaired renal function. Elevated inflammatory markers and lung infiltrates on chest CT suggested pneumonia. Despite antibiotic therapy, lung shadows, and elevated D-dimer persisted. Lower extremity ultrasound was negative for deep vein thrombosis. Due to concerns about contrast-associated nephropathy, ventilation–perfusion lung scintigraphy was performed, revealing a right lung base mismatch, leading to a diagnosis of pulmonary embolism and infarction. A kidney biopsy confirmed minimal change in disease. The patient achieved complete remission of nephrotic syndrome and was discharged on oral anticoagulation. His oral anticoagulation was discontinued after 3 months due to sustained remission and the absence of deep vein thrombosis. Conclusions: Pulmonary embolism and infarction can occur even in the absence of deep vein thrombosis. ventilation–perfusion lung scintigraphy is useful for detecting pulmonary embolism in patients with impaired renal function. Full article

Mechanically ventilated (MV) patients often develop ventilator-associated pneumonia (VAP) with increased mortality risk, especially in VAP caused by multidrug-resistant (MDR) microorganisms. We evaluated MV patients and monitored VAP presentation, microbiologically confirmed. The patients underwent bronchoalveolar lavage (BAL) and blind bronchial aspiration (AC) at baseline. Systematic bronchial secretion and radiologic assessments were performed daily. The patients were classified as MDR-VAP, non-MDR-VAP, or non-VAP. The APACHE II and SOFA scores, microbiology, inflammatory markers, respiratory system characteristics, and ventilator settings were evaluated. BAL and AC were assessed for total protein levels, cellular number and profile, and IL-1β and TNF-α levels. Of the VAP patients, 46.1% presented with MDR-VAP due to Acinetobacter baumannii, Pseudomonas aeruginosa, Klebsiella pneumoniae, or Stenotrophomonas maltophilia, and 53.8%—with non-MDR-VAP. The VAP patients had higher APACHE II scores and airway pressure but a lower baseline PO₂/FIO₂ compared to the non-VAP patients, while PO₂/FIO₂ was increased in MDR-VAP compared to non-MDR-VAP. BAL protein, IL-1β, and cellular levels were increased in VAP vs. non-VAP and in non-MDR-VAP compared to MDR-VAP. Macrophages and polymorphonuclears were 34.36% and 23.76% in VAP, statistically significant increased compared to non-VAP. Their percentages were also increased in non-MDR-VAP compared to MDR-VAP. These differences imply a different immunological profile in non-MDR-VAP patients. In conclusion, MDR-VAP patients may present significant differences in baseline clinical characteristics and molecular biomarkers, which may help in prompt diagnosis and an improved therapeutic approach. Full article

Background and Objectives: Ventilator-associated pneumonia (VAP) poses a significant threat to the clinical outcomes and hospital stays of mechanically ventilated patients, particularly those recovering from cardiac arrest. Given the already elevated mortality rates in cardiac arrest cases, the addition of VAP further diminishes the chances of survival. Consequently, a paramount focus on VAP prevention becomes imperative. This review endeavors to comprehensively delve into the nuances of VAP, specifically in patients requiring mechanical ventilation in post-cardiac arrest care. The overarching objectives encompass (I) exploring the etiology, risk factors, and pathophysiology of VAP, (II) delving into available diagnostic modalities, and (III) providing insights into the management options and recent treatment guidelines. Methods: A literature search was conducted using PubMed, MEDLINE, and Google Scholar databases for articles about VAP and Cardiac arrest. We used the MeSH terms “VAP”, “Cardiac arrest”, “postcardiac arrest syndrome”, and “postcardiac arrest syndrome”. The clinical presentation, diagnostic, and management strategies of VAP were summarized, and all authors reviewed the selection and decided which studies to include. Key Content and Findings: The incidence and mortality rates of VAP exhibit significant variability, yet a recurring pattern emerges, marked by prolonged hospitalization and exacerbated clinical outcomes. This pattern is attributed to the elevated incidence of drug-resistant infections and the delayed initiation of antimicrobial treatment. This review focuses on VAP, aiming to offer valuable insights into the efficient identification and management of this fatal complication in post-cardiac arrest patients. Conclusion: The prognosis for survival after cardiac arrest is already challenging, and the outlook becomes even more daunting when complicated by VAP. The timely diagnosis of VAP and initiation of antibiotics pose considerable challenges, primarily due to the invasive nature of obtaining high-quality samples and the time required for speciation and identification of antimicrobial sensitivity. The controversy surrounding prophylactic antibiotics persists, but promising new strategies have been proposed; however, they are still awaiting well-designed clinical trials. Full article

The hospital-at-home (HaH) model delivers hospital-level acute care, including diagnostics, monitoring, and treatments, in a patient’s home. It is particularly effective for managing conditions such as pneumonia. Point-of-care ultrasonography (PoCUS) is a key diagnostic tool in the HaH model, and it often serves as a substitute for imaging-based diagnosis in the HaH setting. Both standard and handheld ultrasound equipment are suitable for lung ultrasound (LUS) evaluation. Curvelinear and linear probes are typically used. Patient positioning depends on their clinical condition and specific diagnostic protocols. To enhance sensitivity, we recommend using at least 10-point protocols supported by studies for pneumonia. Five essential LUS patterns should be identified, including A-line, multiple B-lines (alveolar-interstitial syndrome), confluent B-lines, subpleural consolidation, and consolidation with air bronchogram. Pleural effusion is common, and its internal echogenicity can indicate severity and the need for invasive procedures. The current evidence on various etiologies and types of pneumonia is limited, but LUS demonstrates good sensitivity in detecting abnormal sonographic patterns in atypical pneumonia, tuberculosis, and ventilator-associated pneumonia. Further LUS studies in the HaH setting are required to validate and generalize the findings. Full article

Bacterial infection of the lower respiratory tract frequently occurs in mechanically ventilated patients and may develop into life-threatening conditions. Yet, existing diagnostic methods have moderate sensitivity and specificity, which results in the overuse of broad-spectrum antibiotics administered prophylactically. This study aims to evaluate the suitability of volatile bacterial metabolites for the breath-based test, which is used for diagnosing Ventilator-Associated Pneumonia (VAP). The in vitro experiments with pathogenic bacteria most prevalent in VAP etiology (i.e., Acinetobacter baumannii, Escherichia coli, Klebsiella pneumoniae, and Pseudomonas aeruginosa) were performed to identify bacteria-derived metabolites using a specially designed cultivation system enabling headspace sampling for GC-MS analysis. Thirty-nine compounds were found to be significantly metabolized by tested species and, therefore, selected for monitoring in the exhaled breath of critically ill, mechanically ventilated (MV) patients. The emission of volatiles from medical respiratory devices was investigated to estimate the risk of spoiling breath results with exogenous pollutants. Bacterial metabolites were then evaluated to differentiate VAP patients from non-infected MV controls using Receiver Operating Characteristic (ROC) analysis, with AUC, sensitivity, and specificity calculated. Nine bacterial metabolites that passed verification through a non-parametric ANOVA test for significance and LASSO penalization were identified as key discriminators between VAP and non-VAP patients. The diagnostic model achieved an AUC of 0.893, with sensitivity and specificity values of 87% and 82.4%, respectively, being competitive with traditional methods. Further validation could solidify its clinical utility in critical care settings. Full article

Background. Pulmonary superinfections increase the mortality risk among COVID-19 patients, highlighting the need for enhanced understanding to enable early and accurate diagnosis. Methods. We present the case of a patient, a 76-year-old man, hospitalized for a severe form of COVID-19, with a ground-glass pneumonia, involving 40–45% of lung surfaces. Results. In evolution, the clinical condition worsened, presenting leukocytosis with neutrophilia, imaging towards resorption, and computer tomography images showing the appearance of pulmonary condensations in the right lower lobe, the posterior portion of the left lower lobe and pleural collections. Carbapenemase-producing Klebsiella pneumoniae was isolated from the tracheal aspirate, and the real-time polymerase chain reaction test was positive for Klebsiella pneumoniae and Legionella pneumophila. The investigations that were carried out allowed us to establish the coinfections as a probable case of Legionnaire’s disease and a ventilator-associated pneumonia with Klebsiella pneumoniae. Conclusions. The case analysis revealed that rare pneumonias may remain undiagnosed, and coinfections may be conditioned by pathophysiological factors or components of COVID-19 critical form treatment. Enhanced understanding of these aspects in clinical practice may contribute to reducing mortality risk in COVID-19 patients. Full article

Background: The impact of and countermeasures for Ureaplasma spp. in neonates remain controversial. The aim of this study was to evaluate the associated perinatal factors that can predict the likelihood of respiratory tract Ureaplasma spp. colonization and analyze the subsequent clinical course of affected infants, thereby providing the rationale for their diagnosis, treatment, and future study. Methods: This was a retrospective observational study of infants born at a gestational age (GA) of less than 32 weeks. Results: The prevalence of respiratory tract Ureaplasma spp. colonization was 25.8% (75/291), and it increased with a decrease in GA and birth weight (BW). Maternal vaginal Ureaplasma spp. colonization increased the risk of neonatal Ureaplasma spp. colonization, with an OR of 7.8 (95% CI: 3.1, 20.0). Infants with Ureaplasma spp. colonization had a higher white blood cell (WBC) count, normal C-reactive protein (CRP) level, and higher failure rate of weaning from mechanical ventilation (30.7% vs. 17.1%, p = 0.014); they also suffered more from interstitial pneumonia (20.0% vs. 5.6%, p < 0.001) and bronchopulmonary dysplasia (36.0% vs. 13.4%, p < 0.001). Infants receiving anti-Ureaplasma spp. treatment had a lower GA, lower BW, and more severe respiratory syndromes. However, the difference in respiratory manifestation became insignificant after adjusting for GA. Conclusions: GA and maternal vaginal Ureaplasma spp. colonization could be used to predict neonatal respiratory tract Ureaplasma spp. colonization. An elevated WBC count combined with normal CRP is a good marker of Ureaplasma spp. colonization/infection. It is conventional practice to start anti-Ureaplasma spp. treatment when infants present with a deteriorated respiratory condition. This practice warrants further investigation considering GA as a predominant intermediate variable. Full article