Application of metagenomic next-generation sequencing in the diagnosis of pathogens in patients with diabetes complicated by community-acquired pneumonia

Open Life Sciences, Journal Year: 2025, Volume and Issue: 20(1)

Published: Jan. 1, 2025

To explore the clinical utility and optimal timing of metagenomic next-generation sequencing (mNGS) in diagnosing pathogens patients with diabetes complicated by community-acquired pneumonia (CAP). The study included 50 hospitalized diagnosed CAP who underwent conventional microbiological testing (CMT) mNGS using bronchoalveolar lavage fluid. Among cases, 16% presented no respiratory symptoms. There were significant increases inflammatory markers such as C-reactive protein, erythrocyte sedimentation rate, interleukin-6, patchy imaging changes being most prevalent. positive rates for pathogen detection CMTs 78 21% (P < 0.05). was significantly better than rare Anaerobes, Chlamydia psittaci, Legionella pneumophila, Mycobacterium bovis, Aspergillus fumigatus, Pneumocystis japonicus After interpretation, 85% (22/26) viruses, 24% (9/37) bacteria, 25% (2/8) fungi non-pathogen organisms mNGS. a difference adjustment anti-infection treatment strategies based on results from mNGS, which 2 46%, respectively We found that superior to terms rate detection, detecting mixed infection incidence, rates, strategies. However, need be interpreted context clinic.

Language: Английский

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Analysis of the characteristics of mixed infections with Mycoplasma pneumoniae in children

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 19, 2025

353 hospitalized children diagnosed with Mycoplasma pneumoniae (MP) pneumonia were included in the study. They divided into MP co-infection group and single infection group. 143 (40.5%) of enrolled had co-infections. The most common co-infecting pathogen was Rhinovirus (30.8%). Among co-infections, 82 cases (57.3%) involved one pathogen, 44 (30.7%) two pathogens, 12 (8.4%) three 4 (2.8%) four 1 case (0.7%) five pathogens. Significant differences observed between groups terms severe pneumonia, macrolide resistance, bronchial mucus plug, hormone use, P-values 0.039, 0.000, 0.035. mixed virus or bacteria more likely to develop drug resistance compared (P = 0.007 P 0.046). 0.032 0.017). In conclusion, commonly co-infected Rhinovirus. Children co-infections tend exhibit higher rates require frequent use hormones, are plug.

Language: Английский

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Knowledge framework and emerging trends of invasive pulmonary fungal infection: A bibliometric analysis (2003–2023)

Medicine, Journal Year: 2024, Volume and Issue: 103(42), P. e40068 - e40068

Published: Oct. 18, 2024

The rising number of immunocompromised people has increased concerns about fungal infections as a severe public health issue. Invasive pulmonary (IPFIs) are prevalent and often fatal, particularly for those with weakened immune systems. Understanding IPFIs is crucial. work aims to offer concise overview the field’s characteristics, main research areas, development paths, trends. This study searched Web Science Core Collection on June 5, 2024, collecting relevant academic works from 2003 2023. Analysis was conducted using CiteSpace, VOSviewer, Bibliometrix Package in R, Microsoft Excel 2019, Scimago Graphica. indicated that USA, University Manchester, Denning DW led productivity impact, while Journal Fungi topped list terms publication volume citations. High-frequency include “fungal infection,” “invasive,” “diagnosis,” “epidemiology.” Keyword trend analysis identified “influenza,” “COVID-19,” “invasive aspergillosis,” “metagenomic next-generation sequencing” emerging areas. Over last 2 decades, IPFI surged, topics becoming more profound. These insights key guidance current trends, gaps, trajectory studies.

Language: Английский

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Clinical relevance of lung microbiota composition in critically ill children with acute lower respiratory tract infections: insights from a retrospective analysis of metagenomic sequencing

European Journal of Clinical Microbiology & Infectious Diseases, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 9, 2024

Acute lower respiratory tract infections (ALRIs) is a leading cause of child mortality worldwide. Metagenomic next-generation sequencing (mNGS) identifies ALRIs pathogens and explores the lung microbiota's role in disease severity clinical outcomes. This study examines association between microbiota outcomes children, exploring its potential as prognostic biomarker.

Language: Английский

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