Guidelines for the Evaluation and Treatment of Pneumonia

Prevalence of persistent pneumonia among severe pneumonia and nutritional status as its associated risk factor: A prospective observational study among under-five children

Background

Malnourishment is a risk factor for persistent pneumonia among under-five children with severe pneumonia. This study aims to determine the prevalence of persistent pneumonia and the association between nutritional status and pneumonia severity in children under 5 years of age.

Methodology

A prospective observational hospital-based study was conducted in the Department of Paediatrics, King George's Medical University (KGMU) from May 2019 to April 2020 among children aged 1 month to 5 years admitted with a diagnosis of severe pneumonia. An anthropometric assessment along with general and systemic examination was conducted. Weight for age, height for age and weight for height were calculated to assess the nutritional status. Children with severe pneumonia were followed for 4-6 weeks to assess the prevalence of persistent pneumonia.

Results

The prevalence of persistent pneumonia was 6.8%, while 32 (31.1%) and 64 (62.1%) patients had recurrent and severe pneumonia, respectively. No statistically significant distribution was observed in age, sex, residential area, parent's education or occupation of the child. The statistically significant distribution was seen on assessing nutritional status based on weight for age, height for age and weight for height (P value- 0.001, 0.001, 0.0001). Those with weight for age ≤ 3SD were anaemics and up to 1 year of age had 5.21, 3.52 and 2.83 times more odds of having persistent pneumonia, respectively.

Conclusion

The prevalence of persistent pneumonia among children less than 5 years of age was 6.8%. Malnutrition can be considered a major determinant of persistent pneumonia among children under 5 years of age.

Weekend admissions and outcomes in patients with pneumonia: a systematic review and meta-analysis

Background

To document pooled evidence on the association between weekend hospital admissions and the potential risks of mortality, intensive care requirements, and readmission among patients with pneumonia.

Methods

We performed a systematic search across the PubMed, EMBASE, and Scopus databases. We collected observational studies exploring the association between weekend admissions and outcomes of interest in patients with pneumonia. To analyze the data, we used a random effects model and expressed the effect sizes as pooled odds ratios (ORs) accompanied by their respective 95% confidence intervals (CIs).

Results

The analysis comprised data from 13 retrospective studies. Compared to patients admitted on weekdays, those admitted during the weekend had a non-statistically significant marginally higher risk of in-hospital mortality (OR, 1.02; 95% CI, 1.00, 1.04) but similar 30-day mortality after admission (OR, 1.03; 95% CI, 0.97, 1.10), and similar risks of admission to intensive care unit (OR, 1.04; 95% CI, 0.98, 1.11) and re-admission (OR, 0.85; 95% CI, 0.65-1.12).

Conclusion

Our findings do not support the presence of a "weekend effect" in patients with pneumonia.

Systematic review registration

PROSPERO, identifier CRD42023425802, https://www.crd.york.ac.uk/prospero/.

Development and validation of a deep learning model for multicategory pneumonia classification on chest computed tomography: a multicenter and multireader study

Background

Accurate diagnosis of pneumonia is vital for effective disease management and mortality reduction, but it can be easily confused with other conditions on chest computed tomography (CT) due to an overlap in imaging features. We aimed to develop and validate a deep learning (DL) model based on chest CT for accurate classification of viral pneumonia (VP), bacterial pneumonia (BP), fungal pneumonia (FP), pulmonary tuberculosis (PTB), and no pneumonia (NP) conditions.

Methods

In total, 1,776 cases from five hospitals in different regions were retrospectively collected from September 2019 to June 2023. All cases were enrolled according to inclusion and exclusion criteria, and ultimately 1,611 cases were used to develop the DL model with 5-fold cross-validation, with 165 cases being used as the external test set. Five radiologists blindly reviewed the images from the internal and external test sets first without and then with DL model assistance. Precision, recall, F1-score, weighted F1-average, and area under the curve (AUC) were used to evaluate the model performance.

Results

The F1-scores of the DL model on the internal and external test sets were, respectively, 0.947 [95% confidence interval (CI): 0.936-0.958] and 0.933 (95% CI: 0.916-0.950) for VP, 0.511 (95% CI: 0.487-0.536) and 0.591 (95% CI: 0.557-0.624) for BP, 0.842 (95% CI: 0.824-0.860) and 0.848 (95% CI: 0.824-0.873) for FP, 0.843 (95% CI: 0.826-0.861) and 0.795 (95% CI: 0.767-0.822) for PTB, and 0.975 (95% CI: 0.968-0.983) and 0.976 (95% CI: 0.965-0.986) for NP, with a weighted F1-average of 0.883 (95% CI: 0.867-0.898) and 0.846 (95% CI: 0.822-0.871), respectively. The model performed well and showed comparable performance in both the internal and external test sets. The F1-score of the DL model was higher than that of radiologists, and with DL model assistance, radiologists achieved a higher F1-score. On the external test set, the F1-score of the DL model (F1-score 0.848; 95% CI: 0.824-0.873) was higher than that of the radiologists (F1-score 0.541; 95% CI: 0.507-0.575) as was its precision for the other three pneumonia conditions (all P values <0.001). With DL model assistance, the F1-score for FP (F1-score 0.541; 95% CI: 0.507-0.575) was higher than that achieved without assistance (F1-score 0.778; 95% CI: 0.750-0.807) as was its precision for the other three pneumonia conditions (all P values <0.001).

Conclusions

The DL approach can effectively classify pneumonia and can help improve radiologists' performance, supporting the full integration of DL results into the routine workflow of clinicians.

Clinical Efficacy and Safety Evaluation of Ceftazidime-Avibactam in the Treatment of Klebsiella pneumoniae Infection: A Retrospective Analysis from a Hospital in China

Background

Ceftazidime-avibactam (CAZ-AVI) is a new cephalosporin/β-lactamase inhibitor combination that received clinical approval in China in 2019. This study aims to investigate the efficacy and safety of CAZ-AVI in the treatment of Klebsiella pneumoniae (KP) infection in a hospital, and differences in efficacy among various infection sites and between monotherapy and combination therapy, providing valuable insights for its further application.

Methods

Patients who used CAZ-AVI between January 2019 and April 2023 were identified through the hospital information system. Demographic information, details of the infection site, KP strain's drug sensitivity report, treatment duration, combination therapies, adverse drug reactions (ADR), and 28-day survival were recorded. Clinical and microbiological efficacies were analyzed using SPSS 23.0 software to compare different infection sites and combination therapies.

Results

The overall effective clinical response (CR) rate of CAZ-AVI against KP infection was 62.13%, with a favorable microbial response (MR) rate was 65.68% and a 28-day survival rate was 63.91%. No significant difference occurred in effective CR and 28-day survival rate among different infection sites (P = 0.709 and 0.862, respectively). The favorable MR rate for abdominal infections was slightly lower than that for other sites of infection (P = 0.021). No significant differences in effective CR, favorable MR, and 28-day survival between monotherapy and combination therapy were present (P values were 0.649, 0.123, and 0.280, respectively). The incidence of ADR was 1.78%, including increased creatinine, elevated transaminase, hematuria, and thrombocytopenia.

Conclusion

CAZ-AVI demonstrates good clinical efficacy and safety in the treatment of KP infections. The clinical efficacy of CAZ-AVI was similar across different infection sites, and combination therapy did not show an advantage over monotherapy. Further studies are warranted. It should be noted that CAZ-AVI may induce thrombocytopenia and hematuria.

Role of toll-like receptors and nod-like receptors in acute lung infection

The respiratory system exposed to microorganisms continuously, and the pathogenicity of these microbes not only contingent on their virulence factors, but also the host's immunity. A multifaceted innate immune mechanism exists in the respiratory tract to cope with microbial infections and to decrease tissue damage. The key cell types of the innate immune response are macrophages, neutrophils, dendritic cells, epithelial cells, and endothelial cells. Both the myeloid and structural cells of the respiratory system sense invading microorganisms through binding or activation of pathogen-associated molecular patterns (PAMPs) to pattern recognition receptors (PRRs), including Toll-like receptors (TLRs) and NOD-like receptors (NLRs). The recognition of microbes and subsequent activation of PRRs triggers a signaling cascade that leads to the activation of transcription factors, induction of cytokines/5chemokines, upregulation of cell adhesion molecules, recruitment of immune cells, and subsequent microbe clearance. Since numerous microbes resist antimicrobial agents and escape innate immune defenses, in the future, a comprehensive strategy consisting of newer vaccines and novel antimicrobials will be required to control microbial infections. This review summarizes key findings in the area of innate immune defense in response to acute microbial infections in the lung. Understanding the innate immune mechanisms is critical to design host-targeted immunotherapies to mitigate excessive inflammation while controlling microbial burden in tissues following lung infection.

Stromal inflammation, fibrosis and cancer: An old intuition with promising potential

It is now well established that the biology of cancer is influenced by not only malignant cells but also other components of the tumour microenvironment. Chronic inflammation and fibrosis have long been postulated to be involved in carcinogenesis. Chronic inflammation can promote tumorigenesis via growth factor/cytokine-mediated cellular proliferation, apoptotic resistance, immunosuppression; and free-radical-induced oxidative deoxyribonucleic acid damage. Fibrosis could cause a perturbation in the dynamics of the tumour microenvironment, potentially damaging the genome surveillance machinery of normal epithelial cells. In this review, we will provide an in-depth discussion of various diseases characterised by inflammation and fibrosis that have been associated with an increased risk of malignancy. In particular, we will present a comprehensive overview of the impact of alterations in stromal composition on tumorigenesis, induced as a consequence of inflammation and/or fibrosis. Strategies including the application of various therapeutic agents with stromal manipulation potential and targeted cancer screening for certain inflammatory diseases which can reduce the risk of cancer will also be discussed.

Establishment and Validation of the Risk Nomogram of Poor Prognosis in Patients with Severe Pulmonary Infection Complicated with Respiratory Failure

Objective

To investigate the prognosis of patients with severe pulmonary infection combined with respiratory failure and analyze the influencing factors of prognosis.

Methods

The clinical data of 218 patients with severe pneumonia complicated with respiratory failure were retrospectively analyzed. The risk factors were analyzed by univariate and multivariate logistic regression analyses. The risk nomogram and Bootstrap self-sampling method were used for internal inspection. Calibration curves and receiver operating characteristic (ROC) curve were drawn to assess the predictive ability of the model.

Results

Among 218 patients, 118 (54.13%) cases had a good prognosis and 100 (45.87%) cases had a poor prognosis. Multivariate logistic regression analysis showed that the number of complicated basic diseases ≥5, APACHE II score >20, MODS score >10, PSI score >90, and multi-drug resistant bacterial infection were independent risk factors affecting the prognosis (P<0.05), and the level of Alb was an independent protective factor (P<0.05). The consistency index (C-index) was 0.775, and the Hosmer Lemeshow goodness-of-fit test showed that the model was not significant (P>0.05). The area under the curve (AUC) was 0.813 (95% CI: 0.778~0.895), with the sensitivity of 83.20%, and the specificity of 77.00%.

Conclusion

The risk nomograph model had good discrimination and accuracy in predicting the prognosis of patients with severe pulmonary infection combined with respiratory failure, which may provide a basis for early identification and intervention of patients at clinical risk and improve the prognosis.

PGLYRP1-mIgG2a-Fc inhibits macrophage activation via AKT/NF-κB signaling and protects against fatal lung injury during bacterial infection

Severe bacterial pneumonia leads to acute respiratory distress syndrome (ARDS), with a high incidence rate and mortality. It is well-known that continuous and dysregulated macrophage activation is vital for aggravating the progression of pneumonia. Here, we designed and produced an antibody-like molecule, peptidoglycan recognition protein 1-mIgG2a-Fc (PGLYRP1-Fc). PGLYRP1 was fused to the Fc region of mouse IgG2a with high binding to macrophages. We demonstrated that PGLYRP1-Fc ameliorated lung injury and inflammation in ARDS, without affecting bacterial clearance. Besides, PGLYRP1-Fc reduced AKT/nuclear factor kappa-B (NF-κB) activation via the Fc segment bound Fc gamma receptor (FcγR)-dependent mechanism, making macrophage unresponsive, and immediately suppressed proinflammatory response upon bacteria or lipopolysaccharide (LPS) stimulus in turn. These results confirm that PGLYRP1-Fc protects against ARDS by promoting host tolerance with reduced inflammatory response and tissue damage, irrespective of the host's pathogen burden, and provide a promising therapeutic strategy for bacterial infection.

B-mode ultrasound and contrast-enhanced ultrasound for evaluation of pneumonia: A pictorial essay

Due to their often peripheral pleural-based location, pneumonias can be visualised by B-mode ultrasound. Therefore, sonography can be used as an alternative imaging modality to chest X-ray in suspected cases of pneumonia. Depending on the clinical background of the patient, and various underlying pathological mechanisms, a heterogeneous pattern of pneumonia is seen in both B-mode lung ultrasound and contrast-enhanced ultrasound. Here, we describe the spectrum of sonographic manifestations of pneumonic/inflammatory consolidation on B-mode lung ultrasound and contrast-enhanced ultrasound.

Pneumonia Deterioration Occurring After C-section in a Preeclamptic Patient: A Case Report

Pneumonia is a type of lung infection that can be caused by bacteria, viruses, or fungi. It is a serious condition that can affect people of all ages, but it is more dangerous for certain populations, such as the elderly, young children, and people with weakened immune systems. Pneumonia can cause higher risk in patients undergoing surgery, including C-sections. In this case report, we present a pregnant woman who was scheduled for a C-section due to preeclampsia and was initially suspected of concomitant pneumonia. The patient successfully underwent the C-section, but unfortunately experienced a deterioration in her pneumonia after the surgery. She was later admitted to ICU and placed on mechanical ventilation due to the deterioration. Despite the acknowledged risks, including the possibility of death, the patient's family chose to bring the patient home due to their belief that there had been no improvement in the patient's condition and a feeling of resignation. In conclusion, pregnant patients who have pneumonia may require an emergency C-section due to several conditions such as preeclampsia, and the C-section can be conducted successfully. However, it is important for physicians to be aware of the potential for the worsening of pneumonia postoperatively. Post-operative pneumonia is a serious condition that can have a significant impact on the health of patients who have undergone a C-section.

Bacterial pneumonia associated with multidrug-resistant Gram-negative pathogens: Understanding epidemiology, resistance patterns, and implications with COVID-19

The ongoing spread of antimicrobial resistance has complicated the treatment of bacterial hospital-acquired pneumonia (HAP) and ventilator-associated pneumonia (VAP). Gram-negative pathogens, especially those with multidrug-resistant profiles, including Escherichia coli, Klebsiella pneumoniae, Enterobacter spp., Pseudomonas aeruginosa, and Acinetobacter spp., are an important culprit in this type of infections. Understanding the determinants of resistance in pathogens causing pneumonia is ultimately stressing, especially in the shadows of the COVID-19 pandemic, when bacterial lung infections are considered a top priority that has become urgent to revise. Globally, the increasing prevalence of these pathogens in respiratory samples represents a significant infection challenge, with major limitations of treatment options and poor clinical outcomes. This review will focus on the epidemiology of HAP and VAP and will present the roles and the antimicrobial resistance patterns of implicated multidrug-resistant (MDR) Gram-negative pathogens like carbapenem-resistant Acinetobacter baumannii (CRAB), carbapenem-resistant Pseudomonas aeruginosa (CRPA), carbapenem-resistant Enterobacterales (CRE), as well as colistin-resistant Gram-negative pathogens and extended-spectrum β-lactamase (ESBL)-producing Enterobacterales. While emerging from the COVID-19 pandemic, perspectives and conclusions are drawn from findings of HAP and VAP caused by MDR Gram-negative bacteria in patients with COVID-19.

Doxycycline for the prevention of progression of COVID-19 to severe disease requiring intensive care unit (ICU) admission: A randomized, controlled, open-label, parallel group trial (DOXPREVENT.ICU)

BACKGROUND

After admission to hospital, COVID-19 progresses in a substantial proportion of patients to critical disease that requires intensive care unit (ICU) admission.

METHODS

In a pragmatic, non-blinded trial, 387 patients aged 40-90 years were randomised to receive treatment with SoC plus doxycycline (n = 192) or SoC only (n = 195). The primary outcome was the need for ICU admission as judged by the attending physicians. Three types of analyses were carried out for the primary outcome: "Intention to treat" (ITT) based on randomisation; "Per protocol" (PP), excluding patients not treated according to randomisation; and "As treated" (AT), based on actual treatment received. The trial was undertaken in six hospitals in India with high-quality ICU facilities. An online application serving as the electronic case report form was developed to enable screening, randomisation and collection of outcomes data.

RESULTS

Adherence to treatment per protocol was 95.1%. Among all 387 participants, 77 (19.9%) developed critical disease needing ICU admission. In all three primary outcome analyses, doxycycline was associated with a relative risk reduction (RRR) and absolute risk reduction (ARR): ITT 31.6% RRR, 7.4% ARR (P = 0.063); PP 40.7% RRR, 9.6% ARR (P = 0.017); AT 43.2% RRR, 10.8% ARR (P = 0.007), with numbers needed to treat (NTT) of 13.4 (ITT), 10.4 (PP), and 9.3 (AT), respectively. Doxycycline was well tolerated with not a single patient stopping treatment due to adverse events.

CONCLUSIONS

In hospitalized COVID-19 patients, doxycycline, a safe, inexpensive, and widely available antibiotic with anti-inflammatory properties, reduces the need for ICU admission when added to SoC.

Involvement of Bacterial Extracellular Membrane Nanovesicles in Infectious Diseases and Their Application in Medicine

Bacterial extracellular membrane nanovesicles (EMNs) are attracting the attention of scientists more and more every year. These formations are involved in the pathogenesis of numerous diseases, among which, of course, the leading role is occupied by infectious diseases, the causative agents of which are a range of Gram-positive and Gram-negative bacteria. A separate field for the study of the role of EMN is cancer. Extracellular membrane nanovesicles nowadays have a practical application as vaccine carriers for immunization against many infectious diseases. At present, the most essential point is their role in stimulating immune response to bacterial infections and tumor cells. The possibility of nanovesicles' practical use in several disease treatments is being evaluated. In our review, we listed diseases, focusing on their multitude and diversity, for which EMNs are essential, and also considered in detail the possibilities of using EMNs in the therapy and prevention of various pathologies.

Investigation of Pharmacological Mechanisms of Yinhua Pinggan Granule on the Treatment of Pneumonia through Network Pharmacology and In Vitro

Yinhua pinggan granule (YHPGKL), a traditional Chinese medical compound, could treat pneumonia. Although previous studies demonstrated the protective and therapeutic effects of YHPGKL on pneumonia, its potential molecular mechanisms and its effective components are still elusive. Herein, we performed a network pharmacology analysis to determine the possible signaling pathways involved in the protective effects of components of YHPGKL. A total of 119 components and 257 target proteins of YHPGKL were identified, among which 117 effective components interacted with 113 proteins related to pneumonia. Then, a compound-effective component-target protein network was established to screen the effective hub components. The top three effective components, namely luteolin, kaempferol, and quercetin, were selected. Moreover, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis of 113 proteins revealed a significant enrichment term associated with host immune and anti-infectious responses. Furthermore, by constructing a protein-protein interaction network between common proteins, ten hub proteins were identified, among which three hub components hit eight proteins. A further molecular docking analysis confirmed that the three effective hub components had a good affinity with six hub proteins. Eventually, the interactions were further visualized and screened on account of an infectious macrophage model in vitro. The results noted that three components could inhibit proinflammatory related hub genes but had no effect on survival-related hub genes. Thus, the three effective hub components and corresponding hub genes may play essential roles in the treatment of YHPGKL on pneumonia.

A Prognostic Model for In-Hospital Mortality in Critically Ill Patients with Pneumonia

Purpose

To determine the utility of a novel serum biomarker for the outcome prediction of critically ill patients with pneumonia.

Patients and Methods

A retrospective analysis of critically ill patients was performed at an emergency department. The expression and prediction value of parameters were assessed. Binary logistic regression analysis was utilized to determine the indicators associated with in-hospital mortality of pneumonia patients. The Last Absolute Shrinkage and Selection Operator was used to further determine the independent predictors, which were validated by multiple logistic regression. The receiver operator characteristic curve was performed to assess their prediction values. A prognostic nomogram model was finally established for the outcome prediction for critically ill patients with pneumonia.

Results

Retinol-binding protein (RBP) was significantly reduced in non-survived and pneumonia patients. CURB-65 score, levels of RBP, and blood urea nitrogen (BUN) were associated with in-hospital mortality of critically ill patients with pneumonia. Their combination was determined to be an ideal prognostic predictor (area under the curve of 0.762) and further developed into a nomogram prediction model (c-index 0.764).

Conclusion

RBP is a novel in-hospital mortality predictor, which well supplements the CURB-65 score for critical pneumonia patients.

Circular RNA circESPL1 knockdown alleviates lipopolysaccharide (LPS)-induced lung cell injury via sponging miR-326 to regulate MAPK14

BACKGROUND

Infantile pneumonia (IP) is a common inflammatory disease, which brings a heavy burden to young children's health. Previous studies suggested that circular RNA (circRNA) hsa_circ_0026579 (also called circESPL1) was significantly upregulated in pneumonia patients, which was associated with the disease severity. This subject aimed to explore the functional effects and potential regulatory mechanism of circESPL1 on lipopolysaccharide (LPS)-induced lung cell injury.

METHODS

WI-38 and MRC-5 cells were stimulated by LPS to mimic the inflammatory injury model. CircESPL1, microRNA-326 (miR-326), and Mitogen-Activated Protein Kinase 14 (MAPK14)levels were measured using real-time quantitative polymerase chain reaction (RT-qPCR). Cell Counting Kit-8 (CCK-8), 5-ethynyl-2'-deoxyuridine (EdU), and flow cytometry assays were performed to assess cell proliferation and apoptosis. Western blot analysis of B-cell lymphoma-2 (Bcl-2), Bcl-2 related X protein (Bax), C-caspase 3, and MAPK14 protein levels. Tumor necrosis factor-α (TNF-α), Interleukin-6 (IL-6), and IL-1β levels were examined using an Enzyme-linked immunosorbent assay (ELISA). Using Starbase analysis, the binding between miR-326 and circESPL1 or MAPK14 was predicted, followed by confirmation using a dual-luciferase reporter and RNA Immunoprecipitation (RIP) assays.

RESULTS

Increased circESPL1 and MAPK14, and reduced miR-326 were observed in serum samples from preeclampsia sufferers and LPS-treated lung cells (P < 0.05). Furthermore, circESPL1 deficiency overturned LPS-mediated cell proliferation, apoptosis, and inflammatory response in vitro (P < 0.05). In terms of molecular mechanisms, circESPL1 worked as a sponge of miR-326, and miR-326 absence reversed the protective role of circESPL1 silencing on LPS-triggered lung cell injury (P < 0.05). Also, miR-326 directly targeted MAPK14, and MAPK14 overexpression abolished miR-326-mediated impacts under LPS treatment (P < 0.05).

CONCLUSION

CircESPL1 knockdown might attenuate LPS-caused lung cell injury by regulating the miR-326/ MAPK14 axis, providing useful insight for exploring a novel therapeutic approach for IP.

Validation of Serotransferrin in the Serum as Candidate Biomarkers for the Diagnosis of Pulmonary Tuberculosis by Label-Free LC/MS

This study aimed to identify secreted protein biomarkers in serum from the label-free LC/MS proteomics of neutrophils in pulmonary tuberculosis (TB) patients for the diagnosis biomarkers of TB label-free LC/MS. The proteomic profiles of neutrophils from 15 active TB patients and 15 healthy controls (HCs) were analyzed using label-free LC/MS. We identified 358 differentially expressed proteins preliminarily, including 279 up-regulated proteins and 79 down-regulated proteins. Thirty-eight differentially expressed secreted proteins involved in the progress of platelet degranulation between TB patients and HCs were focused. Of these, serotransferrin (TRF), alpha-2-macroglobulin (AMG), alpha-1-antitrypsin (AAT), alpha-1-acid glycoprotein 1 (AAG), alpha-1-acid glycoprotein 2 (AGP2), and alpha-1B-glycoprotein (A1BG) were selected for further verification in the serum of additional 134 TB patients and 138 HCs by nephelometry and ELISA in the training set. Statistically significant differences of TRF (P < 0.0001), AAT (P < 0.0001), AAG (P < 0.0001), AGP2 (P < 0.0001), and A1BG (P = 0.0003) were observed. The serum concentration of TRF was down-regulated in TB patients compared with healthy controls, which was coincident with the proteomics results. An additional validation of TRF was performed in an independent cohort of patients with active TB (n = 46), patients with lung cancer (n = 37), 20 HCs, and patients with pneumonia (n = 35) in the test set by nephelometry. The serum expression levels of TRF in the TB patients showed lower levels compared with those in patients with pneumonia (P = 0.0125), lung cancer (P = 0.0005), HCs (P < 0.0001), and the non-TB controls (P < 0.0001). Furthermore, the AUC value of TRF was 0.647 with 90.22% sensitivity and 42.86% specificity in discriminating the TB group from the pneumonia group, 0.702 with 93.48% sensitivity and 47.16% specificity in discriminating the TB group from the lung cancer group, 0.894 with 91.30% sensitivity and 71.62% specificity in discriminating the TB group from all HCs, and 0.792 with 91.30% sensitivity and 58.90% specificity in discriminating the TB group from the non-TB controls. This study obtained the proteomic profiles of neutrophils in the TB patients and HCs, which contribute to a better understanding of the pathogenesis molecules existing in the neutrophils of pulmonary tuberculosis and provide candidate biomarkers for the diagnosis of pulmonary tuberculosis.

Lung Infection Affects Access to Treatment and Short-Term Outcome in Patients With Severe Alcohol-Related Hepatitis Treated With Corticosteroids

INTRODUCTION

Severe alcohol-related hepatitis (AH) is associated with an increased risk of infection, but the impact of pneumonia has not been specifically analyzed in a specific cohort.

METHODS

All patients admitted for severe AH between 2002 and 2020 were prospectively included. Systematic screening for infection was performed at admission and renewed in the case of clinical suspicion.

RESULTS

We included 614 patients (60.4% men, mean age 49.9 years, median model for end-stage liver disease [MELD] 25.2, bilirubin 18.1 mg/dL), 202 (32.9%) with infections at admission (73 lung infections). Encephalopathy ( P = 0.006), MELD score ( P = 0.0002), and tobacco exposure (past vs never smokers: P = 0.002 or active vs past smokers: P = 0.005) were associated with lung infection at admission on multivariate analysis. Factors independently associated with death before steroid initiation were encephalopathy ( P = 0.003), MELD score ( P = 0.05), and especially lung infection ( P < 0.0001). Thus, patients with a lung infection had a lower probability of receiving steroids than those with other infections and noninfected patients: 54.8 vs 88.4 vs 98.1% ( P < 0.0001). One hundred forty-six of the 558 patients who received corticosteroids developed infection, including 57 (39.04%) pneumonias. The risk of respiratory and nonrespiratory infection was higher in nonresponders to steroids (Lille score ≥0.45) than in responders: 13% vs 7.6%, P = 0.03 and 27.9% vs 10.6%, P < 0.001, respectively. The variables independently associated with 3-month mortality after steroid initiation were lung infection ( P = 0.004), nonresponse to steroids ( P < 0.0001), MELD score ( P = 0.0003), ascites ( P = 0.003), and encephalopathy ( P = 0.018), whereas nonrespiratory infections were not ( P = 0.91).

DISCUSSION

Lung infection is frequent during severe AH and influences mortality at admission and after steroid initiation. These results emphasize the need for specific management of lung infection during the course of AH.

Systematic review of clinical practice guidelines on the management of community acquired pneumonia in children

Childhood community acquired pneumonia (CAP) is the leading cause of mortality in children under 5 years worldwide. Clinical practice guidelines (CPGs) may be limited by method of development, scope of recommendations and the quality of supporting evidence. This study systematically identified, appraised and compared the recommendations of CPGs for the management of paediatric CAP using the AGREE II tool. The systematic review yielded 1409 non-duplicate results, of which 14 CPGs were appraised. Four of the fourteen CPGs were deemed high quality. Most CPGs were considered low-medium quality with 'rigour of development' and 'applicability' the weakest domains. These areas should be considered in deriving CPGs in the future. Recommendations were generally similar across all guidelines; however, there was notable heterogeneity in three areas. This suggests the need for further evidence to guide management decisions on oxygen saturation thresholds for admission, the utility of investigations such as acute phase reactants, and the duration of antibiotic therapy.

Neutrophil–lymphocyte ratio as a predictor of adverse outcome in patients with community‐acquired pneumonia: A systematic review

Background

Community‐acquired pneumonia (CAP) is the acute infection of lung tissue in an immunocompetent who acquired it from the community. Its incidence and mortality are significant and require a marker to predict the severity and mortality in these patients. Neutrophil–lymphocyte ratio (NLR) is a simple, cheap, and easy‐to‐use marker and this study describes its role in predicting the adverse outcome in patients with CAP.

Methods

PubMed, EMBASE, and Google Scholar were used to search for related studies on February 8, 2021. A total of 186 articles were retrieved upon detailed searching in the databases and search engines. After a series of removing duplicate articles, title and abstract screening, and full‐text review; nine articles were found eligible and included in the study. The data from each article were collected in MS Excel and the findings were summarized in this manuscript.

Results

The total number of patients analyzed in this systematic review is 3340. The mean age of the patient in the included studies ranged from 61 to 90.4 years. All studies had adverse outcomes as the endpoint of the study, which included in‐hospital mortality or intensive care unit (ICU) admission or deterioration from medium and low risk to high risk or 30 days' mortality. The prevalence of endpoint ranged from 5.8% to 44.8%. NLR with a cutoff value of more than 10 was shown to predict mortality compared to C‐reactive protein levels, white blood cell count, neutrophil count, lymphocyte level, Pneumonia Severity Index (PSI) level, PSI class, procalcitonin, and CURB‐65 (Confusion, Respiratory rate, Blood pressure, 65 years of age and older) in most of the studies.

Conclusion

NLR is a simple, easily measured yet promising marker for predicting outcomes in patients with CAP.

Using Restricted Cubic Splines to Study the Duration of Antibiotic Use in the Prognosis of Ventilator-Associated Pneumonia

Background: Ventilator-associated pneumonia (VAP) is the most widespread and life-threatening nosocomial infection in intensive care units (ICUs). The duration of antibiotic use is a good predictor of prognosis in patients with VAP, but the ideal duration of antibiotic therapy for VAP in critically ill patients has not been confirmed. Research is therefore needed into the optimal duration of antibiotic use and its impact on VAP.

Methods: The Medical Information Mart for Intensive Care database included 1,609 patients with VAP. Chi-square or Student’s t-tests were used to compare groups, and Cox regression analysis was used to investigate the factors influencing the prognoses of patients with VAP. Nonlinear tests were performed on antibiotic use lasting <7, 7–10, and >10 days. Significant factors were included in the model for sensitivity analysis. For the subgroup analyses, the body mass indexes (BMIs) of patients were separated into BMI <30 kg/m2 and BMI ≥30 kg/m2, with the criterion of statistical significance set at p < 0.05. Restricted cubic splines were used to analyze the relationship between antibiotic use duration and mortality risk in patients with VAP.

Results: In patients with VAP, the effects of antibiotic use duration on the outcomes were nonlinear. Antibiotic use for 7–10 days in models 1–3 increased the risk of antibiotic use by 2.6020-, 2.1642-, and 2.3263-fold relative to for >10 days, respectively. The risks in models 1–3 for <7 days were 2.6510-, 1.9933-, and 2.5151-fold higher than those in models with >10 days of antibiotic use, respectively. These results were robust across the analyses.

Conclusions: The duration of antibiotic treatment had a nonlinear effect on the prognosis of patients with VAP. Antibiotic use durations of <7 days and 7–10 days both presented risks, and the appropriate duration of antibiotic use can ensure the good prognosis of patients with VAP.

The Airway Microbiota Signatures of Infection and Rejection in Lung Transplant Recipients

Infection and rejection are the two most common complications after lung transplantation (LT) and are associated with increased morbidity and mortality. We aimed to examine the association between the airway microbiota and infection and rejection in lung transplant recipients (LTRs). Here, we collected 181 sputum samples (event-free, n = 47; infection, n = 103; rejection, n = 31) from 59 LTRs, and performed 16S rRNA gene sequencing to analyze the airway microbiota. A significantly different airway microbiota was observed among event-free, infection and rejection recipients, including microbial diversity and community composition. Nineteen differential taxa were identified by linear discriminant analysis (LDA) effect size (LEfSe), with 6 bacterial genera, Actinomyces, Rothia, Abiotrophia, Neisseria, Prevotella, and Leptotrichia enriched in LTRs with rejection. Random forest analyses indicated that the combination of the 6 genera and procalcitonin (PCT) and T-lymphocyte levels showed area under the curve (AUC) values of 0.898, 0.919 and 0.895 to differentiate between event-free and infection recipients, event-free and rejection recipients, and infection and rejection recipients, respectively. In conclusion, our study compared the airway microbiota between LTRs with infection and acute rejection. The airway microbiota, especially combined with PCT and T-lymphocyte levels, showed satisfactory predictive efficiency in discriminating among clinically stable recipients and those with infection and acute rejection, suggesting that the airway microbiota can be a potential indicator to differentiate between infection and acute rejection after LT.

IMPORTANCE Survival after LT is limited compared with other solid organ transplantations mainly due to infection- and rejection-related complications. Differentiating infection from rejection is one of the most important challenges to face after LT. Recently, the airway microbiota has been reported to be associated with either infection or rejection of LTRs. However, fewer studies have investigated the relationship between airway microbiota together with infection and rejection of LTRs. Here, we conducted an airway microbial study of LTRs and analyzed the airway microbiota together with infection, acute rejection, and clinically stable recipients. We found different airway microbiota between infection and acute rejection and identify several genera associated with each outcome and constructed a model that incorporates airway microbiota and clinical parameters to predict outcome. This study highlighted that the airway microbiota was a potential indicator to differentiate between infection and acute rejection after LT.

Acquisition and Classification of Lung Sounds for Improving the Efficacy of Auscultation Diagnosis of Pulmonary Diseases

Purpose

Lung diseases are the third leading cause of death worldwide. Stethoscope-based auscultation is the most commonly used, non-invasive, inexpensive, and primary diagnostic approach for assessing lung conditions. However, the manual auscultation-based diagnosis procedure is prone to error, and its accuracy is dependent on the physician’s experience and hearing capacity. Moreover, the stethoscope recording is vulnerable to different noises that can mask the important features of lung sounds which may lead to misdiagnosis. In this paper, a method for the acquisition of lung sound signals and classification of the top 7 lung diseases has been proposed for improving the efficacy of auscultation diagnosis of pulmonary disease.

Methods

An electronic stethoscope has been constructed for signal acquisition. Lung sound signals were then collected from people with COPD, upper respiratory tract infections (URTI), lower respiratory tract infections (LRTI), pneumonia, bronchiectasis, bronchiolitis, asthma, and healthy people. Lung sounds were analyzed using a wavelet multiresolution analysis. To choose the most relevant features, feature selection using one-way ANOVA was performed. The classification accuracy of various machine learning classifiers was compared, and the Fine Gaussian SVM was chosen for final classification due to its superior performance. Model optimization was accomplished through the application of Bayesian optimization techniques.

Results

A test classification accuracy of 99%, specificity of 99.2%, and sensitivity of 99.04%, have been achieved for the 7 lung diseases using the optimized Fine Gaussian SVM classifier.

Conclusion

Our experimental results demonstrate that the proposed method has the potential to be used as a decision support system for the classification of lung diseases, especially in those areas where the expertise and the means are limited.

Assessment of Gastrointestinal Symptoms and Dyspnea in Patients Hospitalized due to COVID-19: Contribution to Clinical Course and Mortality

Gastrointestinal manifestations may accompany the respiratory symptoms of COVID-19. Abdominal pain (AP) without nausea and vomiting is one of the most common. To date, its role and prognostic value in patients with COVID-19 is still debated. Therefore, we performed a retrospective analysis of 2184 individuals admitted to hospital due to COVID-19. We divided the patients into four groups according to presented symptoms: dyspnea, n = 871 (39.9%); AP, n = 97 (4.4%); AP with dyspnea together, n = 50 (2.3%); and patients without dyspnea and AP, n = 1166 (53.4%). The patients with AP showed tendency to be younger than these with dyspnea, but without AP (63.0 [38.0−70.0] vs. 65.0 [52.0−74.0] years, p = 0.061), and they were more often females as compared to patients with dyspnea (57.7% vs. 44.6%, p = 0.013, for females). Patients with AP as a separate sign of COVID-19 significantly less often developed pneumonia as compared to individuals with dyspnea or with dyspnea and AP together (p < 0.0001). Patients with AP or AP with dyspnea were significantly less frequently intubated or transferred to the intensive care unit (p = 0.003 and p = 0.031, respectively). Individuals with AP alone or with dyspnea had significantly lower rate of mortality as compared to patients with dyspnea (p = 0.003). AP as a separate symptom and also as a coexisting sign with dyspnea does not predispose the patients with COVID-19 to the worse clinical course and higher mortality.

Automatic detection of multiple types of pneumonia: Open dataset and a multi-scale attention network

The quick and precise identification of COVID-19 pneumonia, non-COVID-19 viral pneumonia, bacterial pneumonia, mycoplasma pneumonia, and normal lung on chest CT images play a crucial role in timely quarantine and medical treatment. However, manual identification is subject to potential misinterpretations and time-consumption issues owing the visual similarities of pneumonia lesions. In this study, we propose a novel multi-scale attention network (MSANet) based on a bag of advanced deep learning techniques for the automatic classification of COVID-19 and multiple types of pneumonia. The proposed method can automatically pay attention to discriminative information and multi-scale features of pneumonia lesions for better classification. The experimental results show that the proposed MSANet can achieve an overall precision of 97.31%, recall of 96.18%, F1-score of 96.71%, accuracy of 97.46%, and macro-average area under the receiver operating characteristic curve (AUC) of 0.9981 to distinguish between multiple classes of pneumonia. These promising results indicate that the proposed method can significantly assist physicians and radiologists in medical diagnosis. The dataset is publicly available at https://doi.org/10.17632/rf8x3wp6ss.1.

Magnetic Resonance Imaging Images under Deep Learning in the Identification of Tuberculosis and Pneumonia

This work aimed to explore the application value of deep learning-based magnetic resonance imaging (MRI) images in the identification of tuberculosis and pneumonia, in order to provide a certain reference basis for clinical identification. In this study, 30 pulmonary tuberculosis patients and 27 pneumonia patients who were hospitalized were selected as the research objects, and they were divided into a pulmonary tuberculosis group and a pneumonia group. MRI examination based on noise reduction algorithms was used to observe and compare the signal-to-noise ratio (SNR) and carrier-to-noise ratio (CNR) of the images. In addition, the apparent diffusion coefficient (ADC) value for the diagnosis efficiency of lung parenchymal lesions was analyzed, and the best b value was selected. The results showed that the MRI image after denoising by the deep convolutional neural network (DCNN) algorithm was clearer, the edges of the lung tissue were regular, the inflammation signal was higher, and the SNR and CNR were better than before, which were 119.79 versus 83.43 and 12.59 versus 7.21, respectively. The accuracy of MRI based on a deep learning algorithm in the diagnosis of pulmonary tuberculosis and pneumonia was significantly improved (96.67% vs. 70%, 100% vs. 62.96%) (P < 0.05). With the increase in b value, the CNR and SNR of MRI images all showed a downward trend (P < 0.05). Therefore, it was found that the shadow of tuberculosis lesions under a specific sequence was higher than that of pneumonia in the process of identifying tuberculosis and pneumonia, which reflected the importance of deep learning MRI images in the differential diagnosis of tuberculosis and pneumonia, thereby providing reference basis for clinical follow-up diagnosis and treatment.

Abdominal Pain in the Emergency Department: Missed Diagnoses

Abdominal pain is the most common chief complaint in the Emergency Department. Abdominal pain is caused by a variety of gastrointestinal and nongastrointestinal disorders. Some frequently missed conditions include biliary pathology, appendicitis, diverticulitis, and urogenital pathology. The Emergency Medicine clinician must consider all aspects of the patient's presentation including history, physical examination, laboratory testing, and imaging. If no diagnosis is identified, close reassessment of pain, vital signs, and physical examination are necessary to ensure safe discharge. Strict verbal and written return precautions should be provided to the patient.

Value of Including CT Chest in the Management of Acute Abdominal Emergencies: Experience During First Wave of COVID-19 Pandemic at a UK District General Hospital

Aims COVID-19 can present with abdominal pain and affects the management of emergency surgical patients. The aim of this retrospective study was to assess the incidence of positive findings on CT chest in patients presenting with acute abdomen, who underwent CT thorax as part of the Intercollegiate General Surgical Guidance on COVID-19 during the first wave. To correlate CT chest findings with confirmed cases on reverse transcription polymerase chain reaction (RT-PCR), and to determine its influence on surgical management of abdominal emergencies. Methods A retrospective observational study of adult emergency surgical referrals (excluding trauma) for acute abdomen over a 10-week period was performed. COVID-19 changes on CT chest were categorized as per the British Society of Thoracic Imaging (BSTI) CT reporting criteria. Patient demographics, COVID-19 RT-PCR, management and outcome were recorded. Statistical analysis was performed using Microsoft Excel (Microsoft Corporation, Redmond, USA) with p-value significant at ≤0.05. Results Of the 160 patients included, 111 (69.38%) had COVID-19 RT-PCR. Twenty-four patients had CT chest findings suggestive of COVID-19. Amongst these, 45.83% demonstrated classic/probable CT features of COVID-19, of which 36.36% had positive RT-PCR. Most patients who had acute abdominal findings had a normal CT chest (p=0.03). Twenty-five (15.63%) patients presenting with abdominal pain had normal CT abdomen and seven (28%) of these had CT features of COVID-19. Only 43 (34.4%) patients needed a surgical intervention, of which 18.6% had COVID-19 changes on CT, confirmed by positive RT-PCR in 12.5%. Conclusion CT chest is an important investigation during the COVID-19 pandemic in suspected cases to help assess the severity of lung involvement. CT chest as an additional investigation modality in acute abdomen had clinically helped in triaging of patients to appropriate specialties but did not influence emergency surgical management.

Mechanism of chlorogenic acid in alveolar macrophage polarization in Klebsiella pneumoniae-induced pneumonia

Chlorogenic acid (CA) has been discovered to regulate macrophage polarization in pneumonia. This study aims to analyze the functional mechanism of CA in alveolar macrophage (AM) polarization and provide a theoretical basis for treatment of Klebsiella pneumoniae (Kp)-induced pneumonia. Mice were infected with Kp, and treated with CA and silent information regulator 1 (SIRT1) inhibitor (Selisistat). Mouse survival rate was recorded and bacterial burden was detected. AM polarization and pathologic change of lung tissues were evaluated. Expressions of SIRT1 and HMGB1 and cytokine levels were detected. MH-S cells were infected with Kp to establish the pneumonia cell model, followed by transfection of si-SIRT1 and HMGB1 overexpression vector. The HMGB1 expression in the nucleus and cytoplasm was detected. HMGB1 subcellular localization and HMGB1 acetylation level were detected. Kp led to high death rates, SIRT down-regulation and increases in inflammatory factor level and bacterial burden, and promoted M1 polarization. CA treatment improved mouse survival rate and promoted M2 polarization and SIRT1 expression. SIRT1 decreased HMGB1 acetylation level to inhibit nuclear to the cytoplasm translocation. Silencing SIRT1 or HMGB1 overexpression reversed the effect of CA on Kp-induced pneumonia. Overall, CA activated SIRT1 to inhibit HMGB1 acetylation level and nuclear translocation, thereby promoting M2 polarization in AMs and alleviating Kp-induced pneumonia.

Beta-Lactamase Gene Expression Level of Hospital-Acquired CRAB Isolated from Children in Picu

Purpose

Acinetobacter baumannii is a major cause of hospital-acquired infections. Studies showed that carbapenem resistance was related to mortality. Carbapenem resistance depends on expression of β-lactamase in adults. The present study explores the relationship between β-lactamase gene expression and carbapenem resistance and outcomes in children with A. baumannii infections.

Patients and Methods

We gathered clinical data of 131 children diagnosed with hospital-associated A. baumannii infections from the pediatrics unit of Shengjing Hospital of China Medical University. We obtained 131 isolates of A. baumannii, determined the minimal inhibitory concentrations (MICs) for common antibiotics, and measured carbapenemase-encoding genes expression using real-time PCR.

Results

We isolated 131 strains, 89 of which were carbapenem-resistant (MIC ≥ 8 µg/mL), and 42 carbapenem-sensitive strains. Univariate analysis identified statistically significant differences between the carbapenem-resistant group and the carbapenem-sensitive group for in-hospital days before infection, previous deep vein catheterization, previous urinary catheterization, previous treatment with a carbapenem (meropenem/imipenem), and expression of oxa-51 and oxa-23. Logistic regression analysis of factors associated with carbapenem-resistant A. baumannii infections found significant associations with oxa-23 expression (hazard ratio [HR] 0.005, confidence interval [CI] 95% 0-0.153, P = 0.002) and previous carbapenem treatment (HR 0.031 CI 95% 0.1-0.959, P = 0.042). Of 131 patients, 27 died within 30 days. Cox regression analysis of factors associated with 30-day mortality from A. baumannii infections showed that cephalosporin combined with sulbactam (HR 0.271, CI 95% 0.101-0.723, P = 0.009) was associated with 30-day survival.

Conclusion

The expression of oxa-23 and the use of carbapenems were independent risk factors for carbapenem resistance. The use of cephalosporins combined with sulbactam was independently associated with 30-day survival. We recommend using cephalosporins combined with sulbactam in children infected with A. baumannii.

The over diagnosed COVID-19 infection in an adult patient with foreign body aspiration

Introduction and importance

Foreign body aspiration (FBA) in adults may be asymptomatic or symptomatic. Fever and cough are the most common symptoms of Coronavirus infection and other causes of pneumonia. Regardless of the etiology of pneumonia, the first step in the treatment of FBA-associated pneumonia is to remove the foreign body from the airway.

Case presentation

A 32-year-old man was referred to our emergency department on October 26, 2020 with shortness of breath (SOB) and a cough. He was referred to the medical center with clinical suspicion of Coronavirus disease-19 (COVID-19), and his disease was treated considering COVID-19. Based on the persistence of his symptoms after discharge, he was referred to the hospital again, and the presence of a foreign body was confirmed by a rigid bronchoscopy, which was then removed.

Clinical discussion

Our patient did not remember any history of aspirating solid particles, choking, or any other high-risk conditions associated with aspiration. Also, he had no symptoms with the exception of cough and SOB before the first admission. It means that asymptomatic FBA can be tolerated and go undiagnosed, particularly in adults, and manifests as a secondary complication, such as pneumonia.

Conclusion

The FBA and other causal agents may mimic COVID-19 pneumonia. Consequently, FBA should be included in the COVID-19 differential diagnosis.

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The over diagnosed COVID-19 infection in an adult patient with foreign body aspiration.

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FBA and other causal agents may mimic COVID-19 pneumonia. Consequently, FBA should be included in the COVID-19 differential diagnosis.

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The taking comprehensive history, physical examination and purposeful paraclinical assessments helps to make the best decision for management of the patients.

Antigen-Presenting Cells in the Airways: Moderating Asymptomatic Bacterial Carriage

Bacterial respiratory tract infections (RTIs) are a major global health burden, and the role of antigen-presenting cells (APCs) in mounting an immune response to contain and clear invading pathogens is well-described. However, most encounters between a host and a bacterial pathogen do not result in symptomatic infection, but in asymptomatic carriage instead. The fact that a pathogen will cause infection in one individual, but not in another does not appear to be directly related to bacterial density, but rather depend on qualitative differences in the host response. Understanding the interactions between respiratory pathogens and airway APCs that result in asymptomatic carriage, will provide better insight into the factors that can skew this interaction towards infection. This review will discuss the currently available knowledge on airway APCs in the context of asymptomatic bacterial carriage along the entire respiratory tract. Furthermore, in order to interpret past and futures studies into this topic, we propose a standardized nomenclature of the different stages of carriage and infection, based on the pathogen’s position with regard to the epithelium and the amount of inflammation present.

Abdominal and gastrointestinal manifestations in COVID-19 patients: Is imaging useful?

Coronavirus disease 2019 (COVID-19) can be considered a systemic disease with a specific tropism for the vascular system, in which the alterations of the microcirculation have an important pathogenetic role. The lungs are the main organ involved in COVID-19, and severe progressive respiratory failure is the leading cause of death in the affected patients; however, many other organs can be involved with variable clinical manifestations. Concerning abdominal manifestations, the gastrointestinal tract and the hepatobiliary system are mainly affected, although the pancreas, urinary tract and spleen may also be involved. The most common gastrointestinal symptoms are loss of appetite, followed by nausea and vomiting, diarrhea and abdominal pain. Gastrointestinal imaging findings include bowel wall thickening, sometimes associated with hyperemia and mesenteric thickening, fluid-filled segments of the large bowel and rarely intestinal pneumatosis and ischemia. Hepatic involvement manifests as an increase in the enzymatic levels of alanine aminotransferase, aspartate aminotransferase, serum bilirubin and γ-glutamyl transferase with clinical manifestations in most cases mild and transient. The most frequent radiological features are hepatic steatosis, biliary sludge and gallstones. Edematous acute pancreatitis, kidney infarct and acute kidney injury from acute tubular necrosis have been described more rarely in COVID-19. Lastly, splenic involvement is characterized by splenomegaly and by the development of solitary or multifocal splenic infarcts with classic wedge-shaped or even rounded morphology, with irregular or smooth profiles. In summary, the abdominal radiological findings of COVID-19 are nonspecific and with poor pathological correlation reported in the literature. Ultrasound and particularly computed tomography with multiphasic acquisition are the diagnostic methods mainly utilized in COVID-19 patients with abdominal clinical symptoms and signs. Although radiological signs are not specific of abdominal and gastrointestinal involvement, the diagnostic imaging modalities and in particular computed tomography are helpful for the clinician in the management, evaluation of the severity and evolution of the COVID-19 patients.

Predicting ventilator-associated pneumonia with machine learning

Ventilator-associated pneumonia (VAP) is the most common and fatal nosocomial infection in intensive care units (ICUs). Existing methods for identifying VAP display low accuracy, and their use may delay antimicrobial therapy. VAP diagnostics derived from machine learning (ML) methods that utilize electronic health record (EHR) data have not yet been explored. The objective of this study is to compare the performance of a variety of ML models trained to predict whether VAP will be diagnosed during the patient stay.A retrospective study examined data from 6126 adult ICU encounters lasting at least 48 hours following the initiation of mechanical ventilation. The gold standard was the presence of a diagnostic code for VAP. Five different ML models were trained to predict VAP 48 hours after initiation of mechanical ventilation. Model performance was evaluated with regard to the area under the receiver operating characteristic (AUROC) curve on a 20% hold-out test set. Feature importance was measured in terms of Shapley values.The highest performing model achieved an AUROC value of 0.854. The most important features for the best-performing model were the length of time on mechanical ventilation, the presence of antibiotics, sputum test frequency, and the most recent Glasgow Coma Scale assessment.Supervised ML using patient EHR data is promising for VAP diagnosis and warrants further validation. This tool has the potential to aid the timely diagnosis of VAP.

Point of care diaphragm ultrasound: An objective tool to predict the severity of pneumonia and outcomes in children

BACKGROUND

Pneumonia is one of the most common serious infections in children. Scoring systems have been adopted to quantify the severity of the disease, but they were based on clinical findings that can vary according to the subjective assessment of the clinician. We hypothesized that diaphragm ultrasound (DUS) parameters may be a new useful tool to objectively score the severity of the disease and predict outcomes in children with pneumonia.

METHODS

Children diagnosed with pneumonia, aged between 1 month and 18 years, were prospectively evaluated in the pediatric emergency department. The Pediatric Respiratory Severity Score was used to indicate the severity of the disease and DUS was performed. Diaphragm thickness at the end of inspiration and expiration, thickening fraction (TF), diaphragm excursion, inspiratory slope (IS), expiratory slope (ES), and total duration time of the respiratory cycle were calculated.

RESULTS

There were 96 patients enrolled in the study. Inspiratory slope and ES measurements had positive correlations with respiratory rate and length of stay in the hospital and negative correlations with oxygen saturation levels. Furthermore, TF values were negatively correlated with respiratory rate and length of stay in the emergency department. Patients with higher clinical scores had increased IS and ES and decreased TF values.

CONCLUSION

DUS can be a promising and useful tool to assess diaphragmatic dysfunction in patients diagnosed with pneumonia. Diaphragm parameters, especially TF, IS, and ES, may provide objective and reliable information to predict the severity of the illness, the need for respiratory support, and outcomes.

Extracellular Vesicle Associated Non-Coding RNAs in Lung Infections and Injury

Extracellular vesicles (EVs) refer to a heterogenous population of membrane-bound vesicles that are released by cells under physiological and pathological conditions. The detection of EVs in the majority of the bodily fluids, coupled with their diverse cargo comprising of DNA, RNA, lipids, and proteins, have led to the accumulated interests in leveraging these nanoparticles for diagnostic and therapeutic purposes. In particular, emerging studies have identified enhanced levels of a wide range of specific subclasses of non-coding RNAs (ncRNAs) in EVs, thereby suggesting the existence of highly selective and regulated molecular processes governing the sorting of these RNAs into EVs. Recent studies have also illustrated the functional relevance of these enriched ncRNAs in a variety of human diseases. This review summarizes the current state of knowledge on EV-ncRNAs, as well as their functions and significance in lung infection and injury. As a majority of the studies on EV-ncRNAs in lung diseases have focused on EV-microRNAs, we will particularly highlight the relevance of these molecules in the pathophysiology of these conditions, as well as their potential as novel biomarkers therein. We also outline the current challenges in the EV field amidst the tremendous efforts to propel the clinical utility of EVs for human diseases. The lack of published literature on the functional roles of other EV-ncRNA subtypes may in turn provide new avenues for future research to exploit their feasibility as novel diagnostic and therapeutic targets in human diseases.

Could prokinetic agents protect long-term nasogastric tube-dependent patients from being hospitalized for pneumonia? A nationwide population-based case-crossover study

Background

Some studies have indicated that the use of prokinetic agents may reduce pneumonia risk in some populations. Nasogastric tube insertion is known to increase the risk of pneumonia because it disrupts lower esophageal sphincter function. The aim of this study was to evaluate whether prokinetic agents could protect long-term nasogastric tube-dependent patients in Taiwan from being hospitalized for pneumonia.

Methods

A case-crossover study design was applied in this study. Long-term nasogastric tube-dependent patients who had a first-time admission to a hospital due to pneumonia from 1996 to 2013 that was recorded in the Taiwan National Health Insurance Research Database were included. The case period was set to be 30 days before admission, and two control periods were selected for analysis. Prokinetic agent use during those three periods was then assessed for the included patients. Conditional logistic regression was used to calculate the odds ratio (OR) for pneumonia admission with the use of prokinetic agents.

Results

A total of 639 first-time hospitalizations for pneumonia among patients with long-term nasogastric tube dependence were included. After adjusting the confounding factors for pneumonia, no negative association between prokinetic agent use and pneumonia hospitalization was found, and the adjusted OR was 1.342 (95% CI 0.967–1.86). In subgroup analysis, the adjusted ORs were 1.401 (0.982–1.997), 1.256 (0.87–1.814), 0.937 (0.607–1.447) and 2.222 (1.196–4.129) for elderly, stroke, diabetic and parkinsonism patients, respectively.

Conclusion

Prokinetic agent use had no negative association with pneumonia admission among long-term nasogastric tube-dependent patients in Taiwan.

Differential diagnoses of severe COVID-19 in tropical areas: the experience of Reunion Island

OBJECTIVE

To identify the differential diagnoses of severe COVID-19 and the distinguishing characteristics of critically ill COVID-19 patients in Reunion Island to help improve the triage and management of patients in this tropical setting.

METHODS

This retrospective observational study was conducted from 11 March to 4 May 2020 in the only intensive care unit (ICU) authorised to manage COVID-19 patients in Reunion Island, a French overseas department located in the Indian Ocean region. All patients with unknown COVID-19 status were tested by polymerase chain reaction (PCR) on ICU admission; those who tested negative were transferred to the COVID-19-free area of the ICU.

RESULTS

Over the study period, 99 patients were admitted to our ICU. A total of 33 patients were hospitalised in the COVID-19 isolation ward, of whom 11 were positive for COVID-19. The main differential diagnoses of severe COVID-19 were as follows: community-acquired pneumonia, dengue, leptospirosis causing intra-alveolar haemorrhage and cardiogenic pulmonary oedema. The median age of COVID-19-positive patients was higher than that of COVID-19-negative patients (71 [58-74] vs. 54 [46-63.5] years, P = 0.045). No distinguishing clinical, biological or radiological characteristics were found between the two groups of patients. All COVID-19-positive patients had recently travelled or been in contact with a recent traveller.

CONCLUSIONS

In Reunion Island, dengue and leptospirosis are key differential diagnoses of severe COVID-19, and travel is the only distinguishing characteristic of COVID-19-positive patients. Our findings apply only to the particular context of Reunion Island at this time of the epidemic.

Circular RNAs in childhood-related diseases and cancers: A review

Research into the diagnosis, treatment and prevention of childhood-related diseases is the key to reducing their morbidity and mortality. Circular RNAs (circRNAs) play critical roles, both in physiology and pathology, and there is ample evidence to show that they play varying roles in tissue development and gene regulation. Studies on circRNAs in different childhood-related diseases have confirmed their great potential for disease prevention and treatment. These breakthroughs highlight the pathological role of circRNAs in cancers, as well as cardiovascular and hereditary childhood illnesses. In this review, we summarize the role of circRNAs in childhood-related diseases and cancer, and provide an update of the possible diagnostic and therapeutic application of circRNAs.

Could flank pain be an indicator of COVID-19 infection?

Background

We describe the incidental detection of patients infiltrates due to COVID-19 in lung basal sections in patients undergoing abdominal computed tomography (CT) with flank pain attending the urology outpatient clinic during the current pandemic.

Methods

We retrospectively analysed 276 patients admitted to the Siirt Training and Research Hospital Urology outpatients clinic between 15 March 2020 and 9 August 2020 with a complaint of flank pain and undergoing non-contrast abdominal CT. A total of 10 patients with COVID-19 compatible findings in CT were defined as the study group. A control group was formed from 10 patients with only urological pathologies (kidney stones, ureteral stones, and hydronephrosis) without a COVID-19 compatible appearance on CT.

Results

Ten (3.6 %) patients were identified with COVID-19 and pneumonic infiltrations in the basal regions of the lungs; diagnosis was made by cross-sectional abdominal CT. The visual analog scale (VAS) score of flank pain was significantly higher in the control group (p<0.001); these subjects had urological pathology and no evidence of COVID-19 in the basal regions of the lungs on abdominal CT. There were no signs of COVID-19 disease detected during the admissions procedure in the urology outpatient clinic, including fever, cough, and shortness of breath.

Conclusion

During the COVID-19 pandemic, it is important to consider a diagnosis of COVID_19 in patients reporting non-severe flank pain if no urological pathology is evident on abdominal CT scans.

Flank Pain as a Symptom of COVID-19

The COVID-19 disease is spreading rapidly worldwide, and no vaccine or very effective drug has been found yet. However, the transmission rate of the disease can be reduced by taking precautions. Therefore, it is essential to detect the patients early to prevent the spread of the disease.^1,2 We report a case of 26-year-old male patient who was admitted to our urology outpatient clinic with the complaint of flank pain and had incidental findings of COVID-19 in the lung bases on abdominal CT.

The situation of infection in the elderly in Spain: a multidisciplinary opinion document

Infection in the elderly is a huge issue whose treatment usually has partial and specific approaches. It is, moreover, one of the areas where intervention can have the most success in improving the quality of life of older patients. In an attempt to give the widest possible focus to this issue, the Health Sciences Foundation has convened experts from different areas to produce this position paper on Infection in the Elderly, so as to compare the opinions of expert doctors and nurses, pharmacists, journalists, representatives of elderly associations and concluding with the ethical aspects raised by the issue. The format is that of discussion of a series of pre-formulated questions that were discussed by all those present. We begin by discussing the concept of the elderly, the reasons for their predisposition to infection, the most frequent infections and their causes, and the workload and economic burden they place on society. We also considered whether we had the data to estimate the proportion of these infections that could be reduced by specific programmes, including vaccination programmes. In this context, the limited presence of this issue in the media, the position of scientific societies and patient associations on the issue and the ethical aspects raised by all this were discussed.

Rare presentation of community acquired pneumonia resulted in laparoscopic intervention in adult. Case Report

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CAP can be a challenging diagnosis, with a presentation of acute abdominal pain mimicking a surgical abdomen.

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In pediatric patients pneumonia is considered as the main extra-abdominal cause of acute abdominal pain.

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Abdominal Pain mimics is an entity by itself with a vast differential diagnosis.

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Acute abdomen requires precise and rapid diagnosis and treatment to avoid an increase in mortality.

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Laparoscopy is safe and effective in setting the diagnosis.

Introduction

Community acquired pneumonia usually presents with typical clinical and radiological signs allowing for a quick diagnosis. Nevertheless, pneumonia can infrequently mimic acute abdominal pathologies, leading to invasive unnecessary procedures.

Presentation of case

We report a case of a 44-year-old man, previously healthy, admitted with a diagnosis of a surgical abdomen, investigated with an exploratory laparoscopy after inconclusive imaging and failure of improvement. Clinical evolution revealed the diagnosis of pneumonia.

Discussion

Community acquired pneumonia is a frequently encountered condition. While its clinical presentation is usually related to the respiratory system, extrapulmonary manifestations, including abdominal pain in the pediatric population, are well documented. However, solely severe acute abdominal pain, being as the major presentation, without respiratory symptoms or radiological signs is very rarely reported.

Conclusion

Community acquired pneumonia can sometimes be a challenging diagnosis. Acute abdominal pain mimicking a surgical abdomen is an infrequent presentation but can confuse physicians when no radiological or clinical signs of pneumonia are present.