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Published on: February 23, 2014
Metagenomic-based pathogen surveillance for children with severe pneumonia in pediatric intensive care unit
Meijin Li1, Jing Wang2, Zhongwei Yao1
1Department of Pediatric Intensive Care Unit, Guangdong Women and Children Hospital, Guangzhou, China.
Background:
Pneumonia is a significant cause of morbidity and mortality in children. Metagenomic next-generation sequencing (mNGS) has the potential to assess the landscape of pathogens responsible for severe pulmonary infection.
Methods:
Bronchoalveolar lavage fluid (BALF) samples of 262 children with suspected pulmonary infections were collected from April 2019 to October 2021 in the Pediatric Intensive Care Unit (PICU) of Guangdong Women and Children Hospital. Both mNGS and conventional tests were utilized for pathogen detection.
Results:
A total of 80 underlying pathogens were identified using both mNGS and conventional tests. Respiratory syncytial virus (RSV), Staphylococcus aureus and rhinovirus were the most frequently detected pathogens in this cohort. The incidence rate of co-infection was high (58.96%, 148/251), with bacterial-viral agents most co-detected. RSV was the main pathogen in children younger than 6 months of age, and was also commonly found in older pediatric patients. Rhinovirus was prevalent in children older than 6 months. Adenovirus and Mycoplasma pneumoniae were more prevalent in children older than 3 years than in other age groups. Pneumocystis jirovecii was detected in nearly 15% of children younger than 6 months. Besides, influenza virus and adenovirus were rarely found in 2020 and 2021.
Conclusions:
Our study highlights the importance of using advanced diagnostic techniques like mNGS to improve our understanding of the microbial epidemiology of severe pneumonia in pediatric patients.
Insights
Metagenomic next-generation sequencing (mNGS) identified 80 pathogens in children with severe pneumonia. Respiratory syncytial virus (RSV) and rhinovirus were common, with high co-infection rates observed.
Area of Science:
- Pediatric Infectious Diseases
- Microbial Genomics
- Diagnostic Microbiology
Background:
- Pneumonia is a major cause of childhood illness and death.
- Metagenomic next-generation sequencing (mNGS) offers a comprehensive approach to identifying pathogens in severe lung infections.
Purpose of the Study:
- To investigate the microbial landscape of severe pneumonia in pediatric patients.
- To compare the efficacy of mNGS with conventional diagnostic methods.
Main Methods:
- Bronchoalveolar lavage fluid (BALF) samples were collected from 262 children with suspected pneumonia.
- Samples were analyzed using both mNGS and conventional microbiological tests.
Main Results:
- 80 pathogens were identified in total.
- Respiratory syncytial virus (RSV), Staphylococcus aureus, and rhinovirus were the most frequent.
- Co-infections were prevalent (58.96%), with bacterial-viral coinfections being most common.
- Age-specific pathogen prevalence was noted, including Pneumocystis jirovecii in infants under 6 months.
Conclusions:
- mNGS is crucial for understanding the epidemiology of pediatric pneumonia.
- Advanced diagnostics like mNGS enhance pathogen detection and inform clinical management.
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