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Metagenomic-based pathogen surveillance for children with severe pneumonia in pediatric intensive care unit

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 w...

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Autores principales: Li, Meijin, Wang, Jing, Yao, Zhongwei, Liao, Hailing, Su, Shufen, Yang, Xuying, Xie, Mingzhou, Zheng, Yinan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10309210/
https://www.ncbi.nlm.nih.gov/pubmed/37397737
http://dx.doi.org/10.3389/fpubh.2023.1177069
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author Li, Meijin
Wang, Jing
Yao, Zhongwei
Liao, Hailing
Su, Shufen
Yang, Xuying
Xie, Mingzhou
Zheng, Yinan
author_facet Li, Meijin
Wang, Jing
Yao, Zhongwei
Liao, Hailing
Su, Shufen
Yang, Xuying
Xie, Mingzhou
Zheng, Yinan
author_sort Li, Meijin
collection PubMed
description 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.
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spelling pubmed-103092102023-06-30 Metagenomic-based pathogen surveillance for children with severe pneumonia in pediatric intensive care unit Li, Meijin Wang, Jing Yao, Zhongwei Liao, Hailing Su, Shufen Yang, Xuying Xie, Mingzhou Zheng, Yinan Front Public Health Public Health 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. Frontiers Media S.A. 2023-06-15 /pmc/articles/PMC10309210/ /pubmed/37397737 http://dx.doi.org/10.3389/fpubh.2023.1177069 Text en Copyright © 2023 Li, Wang, Yao, Liao, Su, Yang, Xie and Zheng. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Li, Meijin
Wang, Jing
Yao, Zhongwei
Liao, Hailing
Su, Shufen
Yang, Xuying
Xie, Mingzhou
Zheng, Yinan
Metagenomic-based pathogen surveillance for children with severe pneumonia in pediatric intensive care unit
title Metagenomic-based pathogen surveillance for children with severe pneumonia in pediatric intensive care unit
title_full Metagenomic-based pathogen surveillance for children with severe pneumonia in pediatric intensive care unit
title_fullStr Metagenomic-based pathogen surveillance for children with severe pneumonia in pediatric intensive care unit
title_full_unstemmed Metagenomic-based pathogen surveillance for children with severe pneumonia in pediatric intensive care unit
title_short Metagenomic-based pathogen surveillance for children with severe pneumonia in pediatric intensive care unit
title_sort metagenomic-based pathogen surveillance for children with severe pneumonia in pediatric intensive care unit
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10309210/
https://www.ncbi.nlm.nih.gov/pubmed/37397737
http://dx.doi.org/10.3389/fpubh.2023.1177069
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