During the current era of the COVID-19 pandemic, the dissemination of Mucorales has been reported globally, with elevated rates of infection in India, and because of the high rate of mortality and morbidity, designing an effective vaccine against mucormycosis is a major health priority, especially for immunocompromised patients. In the current study, we studied shared Mucorales proteins, which have been reported as virulence factors, and after analysis of several virulent proteins for their antigenicity and subcellular localization, we selected spore coat (CotH) and serine protease (SP) proteins as the targets of epitope mapping. The current study proposes a vaccine constructed based on top-ranking cytotoxic T lymphocyte (CTL), helper T lymphocyte (HTL), and B cell lymphocyte (BCL) epitopes from filtered proteins. In addition to the selected epitopes, β-defensins adjuvant and PADRE peptide were included in the constructed vaccine to improve the stimulated immune response. Computational tools were used to estimate the physicochemical and immunological features of the proposed vaccine and validate its binding with TLR-2, where the output data of these assessments potentiate the probability of the constructed vaccine to stimulate a specific immune response against mucormycosis. Here, we demonstrate the approach of potential vaccine construction and assessment through computational tools, and to the best of our knowledge, this is the first study of a proposed vaccine against mucormycosis based on the immunoinformatics approach.

Background: Intensive care unit (ICU) infection management is a growing challenge, and physicians should have regularly updated antibiograms. The aim of this study was to find out the prevalence of pathogens and to determine their antibiotic susceptibility in different ICUs of an Egyptian tertiary care hospital. This retrospective record-based cross-sectional study was conducted from the first of January to the last of December 2019 with a total of 45,221 diagnostic first-isolate culture/patient obtained from different ICUs in Zagazig University Hospitals. The antibiogram construction was done according to Clinical and Laboratory Standards Institute instructions and a Web-based antibiogram at Stanford University. Results: The positive blood isolate was the most prevalent infection site (32.37%) followed by sputum and urine isolates. Gram-negative microorganisms (74.41%) were the most common pathogens, with Klebsiella pneumoniae as the most frequently identified one with an incidence of 33.51% followed by Escherichia coli with 19.3% incidence. Antibiotic sensitivity showed that colistin is the most effective antibiotic with 96.2%, 94.7%, and 89.9% sensitivity for Klebsiella, E. coli, and Acinetobacter, respectively, while carbepenems sensitivity was extremely low, showing 19.5% and 19% imipenem and meropenem sensitivity for Klebsiella, 48% imipenem and 52.7% meropenem sensitivity for E. coli, 20.1% imipenem and 20.3% meropenem sensitivity for Acinetobacter, and 17.3% imipenem and 15.2% meropenem sensitivity for Pseudomonas aeruginosa. Fungal infection in our results represented less than 1%. Conclusion: Our study provides a local baseline epidemiological data which describes the extent of the ICU infections problem in this tertiary care hospital. Trial registration: ClinicalTrials.gov (NCT04318613)

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.

BackgroundRheumatoid arthritis (RA) is a chronic inflammatory disease that affects approximately 1% of the population, and pulmonary involvement is common. The most common pulmonary manifestation is interstitial lung disease (ILD) which leads to pulmonary fibrosis. ILD is the only complication of RA reported to be increasing in prevalence and it has been shown to account for around 6% of all RA deaths. Surfactant proteins (SP-A, SP-B, SP-C and SP-D) play various important roles in the lung. Serum SP-D levels reflected the disease activity of pulmonary fibrosis.Aim of the studyTo determine the clinical significance of surfactant protein D (SP-D), a useful marker for evaluating interstitial lung diseases and specifically in rheumatoid arthritis associated interstitial lung disease patients.Patients and methodsOur patients were classified into 3 groups (Group 1: 18 patients had rheumatoid arthritis ILD; Group 2: 12 patients had rheumatoid arthritis without interstitial pulmonary disease; Group 3: 10 patients had idiopathic pulmonary fibrosis with no rheumatoid arthritis) and 20 healthy control subjects. Serum SP-D levels were assayed using a specific enzyme-linked immunosorbent assay for all studied groups.ResultsA highly significant difference was found between patients’ groups and the control group regarding disease duration, serum aCCP, SP-D, serum CRP and RF being higher in patients’ group (p<0.01). However FVC was significantly lower in patients’ groups compared to the control group (p<0.05). Assessment of the diagnostic performance of SP-D assay revealed that the best cutoff for discriminating rheumatoid patients with interstitial lung disease from those without interstitial lung disease was 219ng/mL. At this value, SP-D had a diagnostic sensitivity of 94.2%, specificity 90%, negative predictive value 90%, positive predictive value 94.2% and efficiency 95%.ConclusionThe serum SP-D level may be a useful marker for ILD especially in patients with rheumatoid arthritis

Background: Despite advances in antimicrobial therapy and a range of drainage techniques for the infected pleural area, thoracic empyema continues to be a serious reason behind morbidity and mortality. Although chest ultrasonography has been found to be an efficient diagnostic tool for pleural effusion features, it is rarely utilized to predict the outcomes of pleural illnesses. Aim of the work: To determine the impact of sonographic patterns in predicting the outcomes of thoracic empyema patients. Patients and methods: In this retrospective study, patients were divided into four groups based on their sonographic patterns: (I) complex non-septated effusions (plankton sign), (II) complex fixed septated effusions, (III) complex mobile septated effusions, and (IV) homogenously echogenic effusions (hematocrit sign). These sonographic patterns were compared to the patients’ co-morbidities, length of stay in the hospital, chest tube drainage, and medicinal or surgical therapy effectiveness. Results: In comparison with other sonographic pattern groups, patients in group I (70.6%) and group IV (45.5%) had effective thoracic tube drainage with a very high statistically significant difference (P value < 0.001). For patients in group II (75%) (P value < 0.001), open thoracotomy was a very highly significant effective therapy (P value 0.001). Conclusion: The sonographic pattern of thoracic empyema is a useful tool for guiding treatment decisions in these patients.