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Adjunctive glucocorticoids may reduce mortality among patients with severe community-acquired pneumonia (CAP) in well-resourced settings. Whether these drugs are beneficial in low-resource settings with limited diagnostic and treatment facilities is unclear. In this pragmatic, open-label, randomized, controlled trial conducted in 18 public hospitals in Kenya, we assigned adult patients who had received a diagnosis of CAP and who did not have a clear indication for glucocorticoids to receive either standard care for CAP or oral low-dose glucocorticoids for 10 days in addition to standard care. The primary outcome was death from any cause at 30 days after enrollment. A total of 2180 patients underwent randomization (1089 assigned to the glucocorticoid group and 1091 to the standard-care group). The median age of the patients was 53 years (interquartile range, 38 to 72); 46% were women. At day 30, deaths were reported in 530 patients (24.3%): 246 patients (22.6%) in the glucocorticoid group and 284 patients (26.0%) in the standard-care group (hazard ratio, 0.84; 95% confidence interval, 0.73 to 0.97; P = 0.02). The frequencies of adverse events and serious adverse events were similar in the two trial groups. Serious adverse events that were considered to be related to glucocorticoid administration occurred in 5 patients (0.5%). In patients with CAP in a low-resource setting, adjunctive glucocorticoid therapy was associated with a lower risk of death than standard care. (Funded by Wellcome Trust and others; SONIA PACTR number, PACTR202111481740832; ISRCTN number, ISRCTN36138594.).

Community-acquired pneumonia is a major global health challenge that disproportionately affects vulnerable populations, including older people, immunocompromised people, those with chronic conditions, and young children. Once considered solely an acute illness, community-acquired pneumonia is now recognised as a disease with long-term complications, including cardiovascular events, respiratory impairment, and cognitive decline. Advances, such as nucleic acid amplification tests (NAATs) and the broader availability of point-of-care lung ultrasound, allow for rapid pathogen detection and personalised treatment. However, substantial uncertainties remain regarding the role of NAATs, lung ultrasounds, and serum biomarkers in clinical practice. Antibiotics are the cornerstone of community-acquired pneumonia treatment, but the roles of adjunctive therapies, including corticosteroids and immunomodulators, remain incompletely defined. Comprehensive community-acquired pneumonia management emphasises personalised treatment, rehabilitation after the acute episode, routine cardiovascular screening, and strengthening preventive measures, such as vaccination. As precision medicine advances, integrating diagnostics and tailored therapies will improve outcomes and reduce the global burden of community-acquired pneumonia.

We report avian Chlamydia abortus pneumonia in an immunocompetent elderly patient in the Netherlands after environmental exposure to wild aquatic birds, including seabirds. New molecular surveillance studies are needed in wild and captive birds, as well as increased awareness to establish occurrence, clinical manifestations, and geographic distribution of this rare zoonotic disease.

Cell‐free microRNAs (miRNAs) are transferred in disease state including inflammatory lung diseases and are often packed into extracellular vesicles (EVs). To assess their suitability as biomarkers for community‐acquired pneumonia (CAP) and severe secondary complications such as sepsis, we studied patients with CAP (n = 30), sepsis (n = 65) and healthy volunteers (n = 47) subdivided into a training (n = 67) and a validation (n = 75) cohort. After precipitating crude EVs from sera, associated small RNA was profiled by next‐generation sequencing (NGS) and evaluated in multivariate analyses. A subset of the thereby identified biomarker candidates was validated both technically and additionally by reverse transcription quantitative real‐time PCR (RT‐qPCR). Differential gene expression (DGE) analysis revealed 29 differentially expressed miRNAs in CAP patients when compared to volunteers, and 25 miRNAs in patients with CAP, compared to those with sepsis. Sparse partial‐least discriminant analysis separated groups based on 12 miRNAs. Three miRNAs proved as a significant biomarker signature. While expression levels of miR‐1246 showed significant changes with an increase in overall disease severity from volunteers to CAP and to sepsis, miR‐193a‐5p and miR‐542‐3p differentiated patients with an infectious disease (CAP or sepsis) from volunteers. Cell‐free miRNAs are potentially novel biomarkers for CAP and may help to identify patients at risk for progress to sepsis, facilitating early intervention and treatment.

Background Incidence of childhood complicated community acquired pneumonia (cCAP) is increasing worldwide. Necrotising pneumonia (NP), empyema and complicated parapneumonic effusion (CPPE) are the most common local complications. Methods This retrospective observational study describes clinical characteristics, aetiology and management of children hospitalized with cCAP in one of the largest tertiary centers in Egypt, over 5 years (December 2017 till September 2022). Results A total of 158 cases were identified. Seasonal variation was observed, as more cases were hospitalized during Winter and Spring. NP, empyema and CPPE, were diagnosed in 85 (54%), 52 (33%) and 21 (13%) children, respectively. 54 (64%) of children presented with NP had associated empyema or CPPE. The yield of pleural fluid, sputum and blood cultures were 23%, 18% and 17%, respectively. Community acquired MRSA was the predominant causative organism, followed by S pneumoniae . 87% of the patients had pleural interventions. 29 (18%) children received fibrinolytics. Three children presented with CAP and highly septated effusion, developed NP and persistent air leaks following fibrinolytic administration. Patients had prolonged hospitalization (median 17 days). 15 (10%) children had surgery. Children presented with NP had more morbidities and longer length of hospital stay, compared to children presented with CPPE and empyema. ICU admission, mechanical ventilation, severe anemia requiring blood transfusion, broncho-pleural fistula and surgical interventions were significantly higher in NP cohort. We report 5 mortalities, 4 of them below 1 year of age. Conclusions This study describes the largest cohort of children hospitalized with cCAP from Egypt till this date. Management of cCAP remains challenging worldwide and the current guidelines requires updating. Improvement of microbial detection and reporting is needed to promote antimicrobial stewardship.

We report infection with the phytopathogen Pantoea stewartii subspecies indologenes in a macadamia farmer from southeast Queensland, Australia. The patient had bloodstream infection and pneumonia develop after an unidentified inoculation event. Investigation determined that the most likely mode of transmission was inhalation from an environmental source on the farm.

Abstract Background Comparison of clinical findings, chest radiographs (CXR), lung ultrasound (LUS) findings, and C-reactive protein (CRP) concentrations at admission and serial follow-up in dogs with aspiration pneumonia (AP) is lacking. Hypothesis Lung ultrasound lesions in dogs with AP are similar to those described in humans with community-acquired pneumonia (comAP); the severity of CXR and LUS lesions are similar; normalization of CRP concentration precedes resolution of imaging abnormalities and more closely reflects the clinical improvement of dogs. Animals Seventeen dogs with AP. Methods Prospective observational study. Clinical examination, CXR, LUS, and CRP measurements performed at admission (n = 17), 2 weeks (n = 13), and 1 month after diagnosis (n = 6). All dogs received antimicrobial therapy. Lung ultrasound and CXR canine aspiration scoring systems used to compare abnormalities. Results B-lines and shred signs with or without bronchograms were identified on LUS in 14 of 17 and 16 of 17, at admission. Chest radiographs and LUS scores differed significantly using both canine AP scoring systems at each time point (18 regions per dog, P < .001). Clinical and CRP normalization occurred in all dogs during follow up. Shred signs disappeared on LUS in all but 1 of 6 dogs at 1 month follow-up, while B-lines and CXR abnormalities persisted in 4 of 6 and all dogs, respectively. Conclusion and Clinical Importance Lung ultrasound findings resemble those of humans with comAP and differ from CXR findings. Shred signs and high CRP concentrations better reflect clinical findings during serial evaluation of dogs.

Background Pulmonary infections, ranging from mild respiratory issues to severe multiorgan failure, pose a major global health threat. The immune response in community-acquired pneumonia (CAP) and COVID-19 influences disease severity and outcomes, but molecular pathogenesis differs across pathogens. Comparisons of plasma cytokine profiles between CAP and COVID-19 are limited. Analyzing these profiles with machine learning and bioinformatics could reveal subtle patterns and improve our understanding of immune responses in both conditions. Methods We conducted a novel case–control study to profile cytokine levels in patients with CAP and COVID-19. Age- and sex-matched cohorts included 39 patients with CAP, 39 with COVID-19, and 20 healthy controls. We measured 384 plasma cytokine levels using proximity extension assays and analyzed differences between cohorts with conventional statistical methods, bioinformatics and machine learning. Results Median ages of the cohorts were comparable ( P  = 0.797). COVID-19 patients exhibited a higher prevalence of hematologic disease ( P  = 0.047), increased corticosteroid use ( P  = 0.040), and reduced antibiotic use ( P  = 0.012). Clinical outcomes, including mortality, ICU admission, invasive mechanical ventilation, renal replacement therapy, acute respiratory distress syndrome, and acute kidney injury, were similar between groups. Both cohorts showed comparable absolute circulating cytokine profiles but distinct profiles relative to healthy controls. Machine learning identified a model of twelve cytokines that distinguished CAP from COVID-19 with a classification accuracy of 0.71 (SD 0.20). Gene ontology and enrichment analysis revealed differences in cytosolic and nuclear functions, intracellular signaling, stress responses, and cell cycle processes between patient cohorts and healthy controls. Enriched GO pathways showed that CAP pathways were positively associated with leukocyte counts and ARDS development, while COVID-19 pathways were negatively associated with ARDS and positively with platelet counts. Conclusions This case–control study provides insights into cytokine profiles related to CAP and COVID-19 pathogenesis. Although absolute circulating cytokine levels showed no significant differences between the groups, machine learning identified a model of twelve proteins that effectively distinguished the cohorts. Gene ontology and enrichment analyses also revealed distinct dysregulated pathways with differing associations with clinical variables in each cohort. These findings underscore the complexity and variability of cytokine responses in pulmonary infections.

Background Sepsis represents a high-risk mortality cohort among patients with severe community-acquired pneumonia (SCAP). Rapid and precise identification along with prompt decision-making, serves as a practical approach to improve patient prognosis. Methods This retrospective observational study enrolled adult patients with severe community-acquired pneumonia (SCAP) who were continuously hospitalized in the intensive care unit (ICU) of West China Hospital, Sichuan University, from September 2011 to September 2019. Univariate and multivariate logistic regression analyses were employed to identify independent risk factors for co-sepsis, followed by the utilization of LASSO regression to filter features to establish a nomogram. Model robustness was evaluated via the C index, receiver operating characteristic (ROC) analysis, and calculation of the area under the curve (AUC). Furthermore, its predictive accuracy was assessed via decision curve analysis (DCA). Results In total, 5855 SCAP patients were included in the present study, of whom 654 developed sepsis. Patients with sepsis exhibited a prolonged length of stay in the ICU and higher mortality rates, indicating a worse prognosis than those without sepsis. We identified 15 independent risk factors associated with the development of sepsis in SCAP patients. Further analysis incorporating 9 of these features to construct a nomogram demonstrated a C index of 0.722 (95%CI 0.702–0.742), including lactate, D-dimer, respiratory rate, heart rate, albumin, hemoglobin, activated partial thromboplastin time (APTT), glucose, and C-reactive protein (CRP) levels. The AUC values and DCA curves demonstrated that the model exhibited superior accuracy and overall net benefit in predicting co-sepsis development compared with the qSOFA, CURB-65, SOFA, and APACHE II scores. Additionally, the calibration curve confirmed good concordance between the predicted probabilities of the model. Conclusions This study investigated the risk factors for co-sepsis in SCAP patients and constructed an expedited, cost-effective and personalized model for predicting the probability of co-sepsis.

Recent evidences suggested that IL-37 may participate in the pathophysiology of community-acquired pneumonia (CAP). Nevertheless, its exact biological role was unknown. The objective of this study was to determine the associations of serum IL-37 with the severity and prognosis in CAP patients based on a retrospective cohort study. The whole of 120 healthy subjects and 240 CAP patients were summoned. Peripheral blood was collected and IL-37 was detected using ELISA. Serum IL-37 was obviously decreased in CAP patients on admission. In addition, serum IL-37 was gradually decreased in parallel with CAP severity scores. Correlative analysis revealed that serum IL-37 was negatively associated with CAP severity scores and inflammatory cytokines. Further logistical regression found that reduction of serum IL-37 augmented the severity of CAP patients. Moreover, the follow-up research was performed in CAP patients. Serum lower IL-37 on admission prolonged the hospital stay in CAP patients. Serum IL-37 combination with PSI and CURB-65 had a stronger predictive capacity for death than IL-37 and CAP severity score alone in CAP patients. There are remarkably negative correlations between serum IL-37 with the severity and prognosis in CAP patients. Serum IL-37 on admission prolongs the hospital stay, demonstrating that IL-37 may involve in the process of CAP. Serum IL-37 may be regarded as a biomarker for diagnosis and prognosis for CAP patients.