A systemic infection involved in lung, brain and spine caused by Scedosporium apiospermum species complex after near-drowning: a case report and literature review.

Scedosporium apiospermum species complex are widely distributed fungi that can be found in a variety of polluted environments, including soil, sewage, and decaying vegetation. Those opportunistic pathogens with strong potential of invasion commonly affect immunosuppressed populations However, few cases of scedosporiosis are reported in immunocompetent individuals, who might be misdiagnosed, leading to a high mortality rate. Here, we reported an immunocompetent case of systemtic infection involved in lung, brain and spine, caused by S. apiospermum species complex (S. apiospermum and S. boydii). The patient was an elderly male with persistent fever and systemtic infection after near-drowning. In the two tertiary hospitals he visited, definite diagnosis was extremely difficult. After being admitted to our hospital, he was misdiagnosed as tuberculosis infection, before diagnosis of S. apiospermum species complex infection by the metagenomic next-generation sequencing. His symptoms were alleviated after voriconazole treatment. In the present case, the details associated with its course were reported and published studies on Scedosporium spp. infection were also reviewed, for a better understanding of this disease and reducing the misdiagnosis rate.

Effects of THE PEEP-ZEEP Maneuver in Adults Receiving Mechanical Ventilation: A Systematic Review with Meta-Analysis.

INTRODUCTION: It is important to clarify the secretion clearance and lung-related effects of the PEEP-ZEEP maneuver in adults undergoing mechanical ventilation (MV). There is no published comprehensive meta-analysis of the effects of PEEP-ZEEP in adults receiving MV. OBJECTIVES: The aim of this study was to analyze published randomized controlled trials, investigating the effects of the PEEP-ZEEP maneuver in adults undergoing mechanical ventilation. METHODS: We searched Embase, PubMed, Cochrane Central Register of Controlled Trials, Scopus, and Web of Science from the date of inception of the databases until 6 May 2023. Quality assessment was using the Cochrane Systematic Assessment Handbook. The GRADE system was used to grade the quality of the evidence. RESULTS: A total of 12 trials were included, and the results of the meta-analysis showed that PEEP-ZEEP was not superior to bag squeezing for the removal of bronchial secretions. One study showed a significant increase in the amount of secretion retrieved with the PEEP-ZEEP when compared with tracheal suctioning. Additionally, PEEP-ZEEP was more effective than bag squeezing at improving oxygen saturation. However, one trial showed that bag squeezing was better at improving dynamic compliance. No other differences were found between PEEP-ZEEP and other techniques, except for one study showing more frequent changes in diastolic blood pressure with PEEP-ZEEP compared with ventilator hyperinflation. CONCLUSION: PEEP-ZEEP was not superior to bag squeezing in removing bronchial secretions. However, it improves oxygen saturation when compared to bag squeezing, and no adverse effects on patients' respiratory systems have yet been observed.

Metatranscriptome of human lung microbial communities in a cohort of mechanically ventilated COVID-19 Omicron patients.

The Omicron variant of the severe acute respiratory syndrome coronavirus 2 (SARS­CoV­2) infected a substantial proportion of Chinese population, and understanding the factors underlying the severity of the disease and fatality is valuable for future prevention and clinical treatment. We recruited 64 patients with invasive ventilation for COVID-19 and performed metatranscriptomic sequencing to profile host transcriptomic profiles, plus viral, bacterial, and fungal content, as well as virulence factors and examined their relationships to 28-day mortality were examined. In addition, the bronchoalveolar lavage fluid (BALF) samples from invasive ventilated hospital/community-acquired pneumonia patients (HAP/CAP) sampled in 2019 were included for comparison. Genomic analysis revealed that all Omicron strains belong to BA.5 and BF.7 sub-lineages, with no difference in 28-day mortality between them. Compared to HAP/CAP cohort, invasive ventilated COVID-19 patients have distinct host transcriptomic and microbial signatures in the lower respiratory tract; and in the COVID-19 non-survivors, we found significantly lower gene expressions in pathways related viral processes and positive regulation of protein localization to plasma membrane, higher abundance of opportunistic pathogens including bacterial Alloprevotella, Caulobacter, Escherichia-Shigella, Ralstonia and fungal Aspergillus sydowii and Penicillium rubens. Correlational analysis further revealed significant associations between host immune responses and microbial compositions, besides synergy within viral, bacterial, and fungal pathogens. Our study presents the relationships of lower respiratory tract microbiome and transcriptome in invasive ventilated COVID-19 patients, providing the basis for future clinical treatment and reduction of fatality.

Dapagliflozin-affected endothelial dysfunction and altered gut microbiota in mice with heart failure.

Aim: To investigate the potential microbiome profile of a mouse model with heart failure (HF) during dapagliflozin treatment. Method: An HF model was constructed in 8-week-old male mice, and cardiac tissues were analyzed using histological staining. Hemodynamic indexes were measured, and fecal samples were collected for 16S rDNA sequencing. Chao1, Shannon, and Simpson were used for α-diversity analysis. b-Diversity analysis was conducted using principal coordinate analysis (PCoA) and non-metric multidimensional scaling (NMDS) based on the Bray-Curtis distance. Linear discriminant analysis coupled with effect size measurements (LEfSe) was used to identify signature gut microbiota, and phylogenetic investigation of communities by reconstruction of unobserved states (PICRUSt) was used to predict the function of altered gut microbiota. Result: Dapagliflozin treatment reduced inflammation, infarction area, and cardiac fibrosis in HF mice. It also increased endothelial-dependent dilation and inflammation in mice with HF. Dapagliflozin decreased the ratio of Firmicutes/Bacteroidetes, which was increased in HF mice. There was no significant statistical difference in α-diversity among the control, HF, and HF+dapagliflozin groups. Desulfovibrio, AF12, and Paraprevotella were enriched in HF+dapagliflozin, while Rikenella and Mucispirillum were enriched in HF based on LEfSe. KEGG analysis revealed that altered gut microbiota was associated with fermentation, amino acid biosynthesis, nucleoside and nucleotide biosynthesis/degradation, fatty acid and lipid biosynthesis, carbohydrate biosynthesis/degradation, and cofactor/prosthetic group/electron carrier/vitamin biosynthesis. Conclusion: Understanding the microbiome profile helps elucidate the mechanism of dapagliflozin for HF. The signature genera identified in this study could be used as a convenient method to distinguish between HF patients and healthy individuals.

A New Risk Model based on the Machine Learning Approach for Prediction of Mortality in the Respiratory Intensive Care Unit.

BACKGROUND: Intensive care unit (ICU) resources are inadequate for the large population in China, so it is essential for physicians to evaluate the condition of patients at admission. In this study, our objective was to construct a machine-learning risk prediction model for mortality in respiratory intensive care units (RICUs). METHODS: This study involved 817 patients who made 1,063 visits and who were admitted to the RICU from 2012 to 2017. Potential predictors such as demographic information, laboratory results, vital signs and clinical characteristics were considered. We constructed eXtreme Gradient Boosting (XGBoost) models and compared performances with random forest models, logistic regression models and clinical scores such as Acute Physiology and Chronic Health Evaluation II (APACHE II) and the sequential organ failure assessment (SOFA) system. The model was externally validated using data from Medical Information Mart for Intensive Care (MIMIC-III) database. A web-based calculator was developed for practical use. RESULTS: Among the 1,063 visits, the RICU mortality rate was 13.5%. The XGBoost model achieved the best performance with the area under the receiver operating characteristics curve (AUROC) of 0.860 (95% confidence interval (CI): 0.808 - 0.909) in the test set, which was significantly greater than APACHE II (0.749, 95% CI: 0.674 - 0.820; P = 0.015) and SOFA (0.751, 95% CI: 0.669 - 0.818; P = 0.018). The Hosmer-Lemeshow test indicated a good calibration of our predictive model in the test set with a P-value of 0.176. In the external validation dataset, the AUROC of XGBoost model was 0.779 (95% CI: 0.714 - 0.813). The final model contained variables that were previously known to be associated with mortality, but it also included some features absent from the clinical scores. The mean N-terminal pro-B-type natriuretic peptide (NTproBNP) of survivors was significantly lower than that of the non-survival group (2066.43 pg/mL vs. 8232.81 pg/mL; P < 0.001). CONCLUSIONS: Our results showed that the XGBoost model could be a suitable model for predicting RICU mortality with easy-to-collect variables at admission and help intensivists improve clinical decision-making for RICU patients. We found that higher NT-proBNP can be a good indicator of poor prognosis.

There Is a Third Condition Aside from Survival and Death That Affects Outcome Statistics: Terminal Discharge.

BACKGROUND: Some patients discharged automatically are classified as terminal discharge, while their clinical outcome is survival, disrupting the results of clinical research. METHODS: The data of this study were taken from inpatients admitted to the ICU of the First Medical Center of the People's Liberation Army General Hospital, Beijing, China from 2008-2017. We collected the data regarding medications used over the three days before discharge from the group of patients who survived and the group of patients who died, and the outcomes of all patients were recalculated by three classification algorithms (AdaBoosting, Pearson correlation coefficient, observed to expected ratio-weighted cosine similarity). Our basic assumption is that if the classification result is death but the actual in-hospital outcome is survival, the associated patient was likely terminally discharged. RESULTS: The coincidence rate of the outcomes calculated by the AdaBoosting algorithm was 98.1%, the coincidence rate calculated by the Pearson correlation coefficient was 61.1%, and the coincidence rate calculated by the observed to expected ratio-weighted cosine similarity was 93.4%. When the three classification methods were combined, the accuracy reached 98.56%. CONCLUSION: The combination of clinical rules and classification methods has a synergistic effect on judgments of patients' discharge outcomes, greatly saving time on manual retrieval and reducing the negative influence of statistics or rules.

A novel therapeutic strategy using extracorporeal membrane oxygenation in patients with anti-neutrophil cytoplasmic antibodies-associated vasculitis: a case report and literature review.

Diffuse alveolar hemorrhage (DAH) secondary to anti-neutrophil cytoplasmic antibodies (ANCA)-associated vasculitis (AAV) often results in severe respiratory failure which requires emergent management. In patients who are resistant to traditional mechanical respiratory support, extracorporeal membrane oxygenation (ECMO) can be used to maintain gas exchange, thereby providing time for the administration of immunosuppressive therapy to control the inflammation. Herein, we report the application of ECMO to support an adult patient with AAV complicated by severe respiratory failure due to DAH. Similar cases in the literature were identified and discussed. The patient in our case study was successfully treated with ECMO in the acute phase and relieved by immunosuppressive therapy after withdrawal of ECMO. A search in the PubMed database revealed 32 similar cases with DAH, of which 11 cases were microscopic polyangiitis (MPA), 2 cases were eosinophilic granulomatosis with polyangiitis (EGPA), and 19 cases were granulomatosis with polyangiitis (GPA). These patients were all treated with ECMO. Therefore, to date, we identified 33 patients who were effectively treated with ECMO, including 13 (39.4%) males and 20 (60.6%) females, with a ratio of 1:1.54. The average age was 32.4±17.5 and 36.0±16.1 years for males and females, respectively (t=0.610, P=0.547). Most patients received ECMO on the first day of admission to the intensive care unit (ICU) and it appeared that early initiation of ECMO was associated with a shorter duration of ECMO. In general, complications of ECMO in these patients were mild and were not often seen in the clinical setting. This study suggested that early recognition of respiratory failure and referral for ECMO are vital to achieve a satisfactory outcome in AAV patients with DAH.

Albumin-Globulin Ratio Is an Independent Determinant of 28-Day Mortality in Patients with Critical Illness.

BACKGROUND: Critical illness in the intensive care unit (ICU) has been a global health priority. Systemic nutritional status has turned out to be related to the prognosis of critically ill patients. The albumin-globulin ratio (AGR) has been reported to be a novel prognostic factor of many diseases. This study is aimed at investigating whether the AGR could predict the mortality risk in critically ill patients. METHODS: We enrolled 582 adult patients admitted to the respiratory intensive care unit (RICU). We collected the clinical and laboratory data. X-tile software was used to determine the optimal cut-off values for the AGR. Patients were divided into three groups according to the AGR (low AGR group with AGR < 0.8, medium AGR group with AGR ranging from 0.8 to 1.1, and high AGR group with AGR > 1.1). Kaplan-Meier analysis was used for survival analysis. A Cox proportional hazard model was applied to the univariate and multivariate analyses for the potential predictors associated with survival. RESULTS: Our present study showed that the AGR was related to the 28-day survival of critically ill patients in the RICU. The rate of pneumonia in the low AGR group was significantly higher than that in the other groups. Patients with a lower AGR present an increased risk of 28-day mortality compared to patients with a higher AGR. Cox regression analysis showed that the AGR might be an independent predictor of prognosis to 28-day survival in critically ill patients in the RICU. Medium and high AGR values remained independently associated with better 28-day survival than low AGR values (HR: 0.484 (0.263-0.892) (p = 0.02); HR: 0.332 (0.166-0.665) (p = 0.002)). CONCLUSION: The AGR might be an independent predictor of prognosis in critically ill patients.

Scoring System to Evaluate the Performance of ICU Ventilators in the Pandemic of COVID-19: A Lung Model Study.

Ventilators in the intensive care units (ICU) are life-support devices that help physicians to gain additional time to cure the patients. The aim of the study was to establish a scoring system to evaluate the ventilator performance in the context of COVID-19. The scoring system was established by weighting the ventilator performance on five different aspects: the stability of pressurization, response to leaks alteration, performance of reaction, volume delivery, and accuracy in oxygen delivery. The weighting factors were determined with analytic hierarchy process (AHP). Survey was sent out to 66 clinical and mechanical experts. The scoring system was built based on 54 valid replies. A total of 12 commercially available ICU ventilators providing non-invasive ventilation were evaluated using the novel scoring system. A total of eight ICU ventilators with non-invasive ventilation mode and four dedicated non-invasive ventilators were tested according to the scoring system. Four COVID-19 phenotypes were simulated using the ASL5000 lung simulator, namely (1) increased airway resistance (IR) (10 cm H2O/L/s), (2) low compliance (LC) (compliance of 20 ml/cmH2O), (3) low compliance plus increased respiratory effort (LCIE) (respiratory rate of 40 and inspiratory effort of 10 cmH2O), (4) high compliance (HC) (compliance of 50 ml/cmH2O). All of the ventilators were set to three combinations of pressure support and positive end-expiratory pressure levels. The data were collected at baseline and at three customized leak levels. Significant inaccuracies and variations in performance between different non-invasive ventilators were observed, especially in the aspect of leaks alteration, oxygen and volume delivery. Some ventilators have stable performance in different simulated phenotypes whereas the others have over 10% scoring differences. It is feasible to use the proposed scoring system to evaluate the ventilator performance. In the COVID-19 pandemic, clinicians should be aware of possible strengths and weaknesses of ventilators.

Community structure of environmental microorganisms associated with COVID-19 affected patients.

To clarify the characteristics and distribution of hospital environmental microbiome associated with confirmed COVID-19 patients. Environmental samples with varying degrees of contamination which were associated with confirmed COVID-19 patients were collected, including 13 aerosol samples collected near eight patients in different wards, five swabs from one patient's skin and his personal belongings, and two swabs from the surface of positive pressure respiratory protective hood and the face shield from a physician who had close contact with one patient. Metagenomic next-generation sequencing (mNGS) was used to analyze the composition of the microbiome. One of the aerosol samples (near patient 4) was detected positive for COVID-19, and others were all negative. The environmental samples collected in different wards possessed protean compositions and community structures, the dominant genera including Pseudomonas, Corynebacterium, Neisseria, Staphylococcus, Acinetobacter, and Cutibacterium. Top 10 of genera accounted for more than 76.72%. Genera abundance and proportion of human microbes and pathogens radiated outward from the patient, while the percentage of environmental microbes increased. The abundance of the pathogenic microorganism of medical supplies is significantly higher than other surface samples. The microbial compositions of the aerosol collected samples nearby the patients were mostly similar to those from the surfaces of the patient's skin and personal belongings, but the abundance varied greatly. The positive rate of COVID-19 RNA detected from aerosol around patients in general wards was quite low. The ward environment was predominantly inhabited by species closely related to admitted patients. The spread of hospital microorganisms via aerosol was influenced by the patients' activity. Supplementary Information: The online version contains supplementary material available at 10.1007/s10453-021-09708-5.

Clinical characteristics and corticosteroids application of different clinical types in patients with corona virus disease 2019.

To describe the epidemiological and clinical characteristics of patients with Corona Virus Disease 2019 (COVID-19) in Beijing. To analyze the application of corticosteroids in patients with severe pneumonia. We collected information on demographic characteristics, exposure history, clinical characteristics, corticosteroids use, and outcomes of the 65 confirmed cases of COVID-19 at Fifth Medical Center of PLA General Hospital from Jan 20 to Feb 23, 2020. The final follow-up date observed was April 15th, 2020. The number of patients with mild, general, severe, and critical type were 10 (15.38%), 32 (49.23%), 8 (12.31%), and 15 (23.08%), respectively. The median incubation period was 6 days. Notable outliers were 1 patient at 16 days and 1 patient at 21 days. In lymphocyte subgroup analysis, decreases in total, T, CD4, and CD8 lymphocytes were more common as the disease worsened (All P < 0.05). Methylprednisolone (mPSL) was applied to 31 (47.69%) patients with pneumonia, including 10 (31.25%) general, 8 (100%) severe, and 13 (86.67%) critical patients, respectively. Corticosteroids inhibited Interleukin-6(IL-6) production (P = 0.0215) but did not affect T lymphocyte (P = 0.0796). There was no significant difference between patients using lower dose (≤ 2 mg/kg day) and higher dose (> 2 mg/kg day) mPSL in inhibiting IL-6 production (P = 0.5856). Thirty of 31 patients (96.77%) had stopped mPSL due to improvement of pneumonia. Virus RNA clearance time lengthened with disease progression (P = 0.0001). In general type, there was no significant difference in virus clearance time between patients with (15, 12-19 days) and without (14.5, 11-18 days) (P = 0.7372) mPSL use. Lymphocyte, especially T lymphocyte, in severe and critical patients showed a dramatic decrease. Application of lower dose corticosteroids (≤ 2 mg/kg day) could inhibit IL-6 production (a representative of cytokines) as effectively as a higher dose. Proper use corticosteroids in general type patients did not delay virus clearance.

[A clinical analysis of 7 cases of allergic bronchopulmonary aspergillosis].

OBJECTIVE: To study the clinical features, diagnosis and treatment of allergic bronchopulmonary aspergillosis (ABPA). METHODS: The clinical presentations, serologic results, chest radiology, pathological results and treatment of 7 patients with ABPA in Chinese PLA General Hospital were retrospectively analyzed. RESULTS: There were 4 males and 3 females, with a mean age of (33 ± 16) years. Before the diagnosis of ABPA, 6 cases had been misdiagnosed as bronchial asthma, 3 as pulmonary infection, 2 as tuberculosis and 1 as bronchiectasis. The main clinical manifestations included cough (n = 6), sputum production (n = 5), hemoptysis (n = 4), wheeze (n = 3), dyspnea(n = 3) and fever(n = 2). All cases had increased total serum IgE levels (median 3040 U/ml) and peripheral blood eosinophil count (median 0.19). Six of them showed increased peripheral eosinophil count median 1.84 × 10(9)/L, and skin test positive for Aspergillus antigen. Five of them had increased serum IgE antibodies specific to A. fumigatus (22 ± 15) kU/L, and 4 had increased serum IgG antibodies specific to A. fumigatus (108 ± 96) mg/L. The chest CT scan findings included transient or fixed pulmonary opacities, central bronchiectasis and finger-in-glove opacities. Five patients were treated with corticosteroids combined with antifungal therapy. CONCLUSIONS: Clinical features of ABPA include a history of asthma, elevation of the total serum IgE levels, presence of aspergillus IgE antibodies, peripheral eosinophilia, and transient or fixed pulmonary opacities and central bronchiectasis. Patients with asthma complicated with bronchiectasis should be routinely screened for Aspergillus skin test, and measurement of total serum IgE levels and chest CT scan are useful for confirmation of the diagnosis of ABPA. Oral glucocorticoids and anti-fungal drugs are effective in treatment of ABPA. Regular follow-up is needed for prevention of recurrence.

[Clinical analysis of non-invasive positive pressure ventilation in immunocompromised host with acute respiratory failure].

OBJECTIVE: To evaluate the value of non-invasive positive pressure ventilation (NPPV) in immunocompromised host (ICH) complicated by acute respiratory failure (ARF), and to investigate predictive variables of success with NPPV in ICH with ARF. METHODS: A retrospective study of immunocompromised patients with ARF, who were admitted to respiratory intensive care unit (RICU) from March 2008 to March 2011, was performed. Based on clinical data, univariate Logistic regression was done for prediction for independent factors affecting the success of NPPV treatment. Immunization status was assessed according to clinical outcome. RESULTS: NPPV was instituted in all 33 cases with ARF initially. Among these patients, 9 patients (27.3%) received sequential invasive mechanical ventilation (IMV, failure group) and all of them died finally; among 24 cases (72.7%) who only received NPPV (success group), 7 patients died (29.2%). There was significant difference between the two groups in mortality (P<0.01). The simplified acute physiology scoreII (SAPSII) in the success group was lower than that in the failure group (33±9 vs. 43±5, P<0.01). However, other clinical data showed no statistical significance between two groups. Univariate Logistic regression analysis identified SAPSII was the independent factor associated with the success of NPPV treatment [odds ratio (OR) =0.83, 95% confidence interval (95% CI) 0.709-0.964, P<0.05]. And SAPSII≥38 was a risk factor for the failure of NPPV [area under receiver operating characteristic (ROC) curve 0.73]. In addition, the lung injury scores (LIS) in the survival group was significantly lower than that of the death group (1.95±0.48 vs. 2.57±0.52, P<0.01), the difference was statistically significant. CD3(+) and CD8(+) T counts in the survivors were higher than that of non-survivors (CD3(+):0.73±0.16 vs. 0.41±0.20; CD8(+): 0.51±0.18 vs. 0.21±0.15, both P<0.01), and the difference was statistically significant. CONCLUSION: As an early treatment for ICH with pulmonary infections suffering from ARF, NPPV can be effective for the ICH patients suffering from severe pulmonary infection through improving hypoxemia, ameliorating respiratory distress symptoms, and avoiding complications associated with IMV when SAPSIIis less than 38. CD3(+), CD8(+), and the LIS can be used to evaluate the prognosis of those patients.

[Antimicrobial resistance and genotyping of Acinetobacter baumannii in ICU].

OBJECTIVE: To investigate the outbreak of acinetobacter baumannii in the ICU, and to explore the antimicrobial resistance characteristics of pathogens, and therefore to determine the optimal prevention strategies. METHODS: From May to June 2007, most of the cases of infection by acinetobacter baumannii in our ICU were collected. PFGE (pulsed field gel electrophoresis) and standard disk diffusion susceptibility tests were performed on the strains isolated from the patients' body fluids including sputum, blood, urine, secretion and from the ICU environment involving the patients' bed sheet, skin surface and medical staff's hands, humidification water of ventilator tubes. RESULTS: Twelve strains were resistant to imipenem and meropenem. Colistin sulphate and tigecycline showed a high rate of antimicrobial activity against the strains, the rate of susceptibility being 100% and 91.7% respectively. These strains belonged to 3 clones (clone A, B, C) and there were 2 sub-clones (A1, A2) belonging to clone A. The sub-clone A1 was isolated from the surface of unwashed medical staff's hands and patients' body fluids. From intermediate to resistance, the antimicrobial characteristics of clone A and clone B to minocycline changed over a month, and there was one strain that was resistant to tigecycline. CONCLUSION: The outbreak of acinetobacter baumannii in the ICU was caused by carbapenem resistant acinetobacter baumannii (CRAb). The delicate changes of disk diffusion susceptibility in clones A and B occurred in one month. Unwashed hands of medical staff were probably responsible for the outbreak.