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Broad range detection of viral and bacterial pathogens in bronchoalveolar lavage fluid of children to identify the cause of lower respiratory tract infections

BACKGROUND: Knowledge on the etiology of LRTIs is essential for improvement of the clinical diagnosis and accurate treatment. Molecular detection methods were applied to identify a broad range of bacterial and viral pathogens in a large set of bronchial alveolar lavage (BAL) fluid samples. The patte...

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Autores principales: Wang, Heping, Gu, Jiali, Li, Xiaonan, van der Gaast-de Jongh, Christa E., Wang, Wenjian, He, Xuehui, Xu, Zhi, Yang, Yonghong, de Groot, Ronald, de Jonge, Marien I., Zheng, Yuejie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7864134/
https://www.ncbi.nlm.nih.gov/pubmed/33546631
http://dx.doi.org/10.1186/s12879-021-05834-0
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author Wang, Heping
Gu, Jiali
Li, Xiaonan
van der Gaast-de Jongh, Christa E.
Wang, Wenjian
He, Xuehui
Xu, Zhi
Yang, Yonghong
de Groot, Ronald
de Jonge, Marien I.
Zheng, Yuejie
author_facet Wang, Heping
Gu, Jiali
Li, Xiaonan
van der Gaast-de Jongh, Christa E.
Wang, Wenjian
He, Xuehui
Xu, Zhi
Yang, Yonghong
de Groot, Ronald
de Jonge, Marien I.
Zheng, Yuejie
author_sort Wang, Heping
collection PubMed
description BACKGROUND: Knowledge on the etiology of LRTIs is essential for improvement of the clinical diagnosis and accurate treatment. Molecular detection methods were applied to identify a broad range of bacterial and viral pathogens in a large set of bronchial alveolar lavage (BAL) fluid samples. The patterns of detected pathogens were correlated to the clinical symptoms. METHODS: BAL fluid samples and clinical data were collected from 573 hospitalized children between 1 month and 14 years of age with LRTIs, enrolled from January to December 2018. Pathogens were detected using standardized clinical diagnostics, with a sensitive, high-throughput GeXP-based multiplex PCR and with multiplex qPCR. Data were analyzed to describe the correlation between the severity of respiratory tract disease and the pathogens identified. RESULTS: The pathogen detection rate with GeXP-based PCR and multiplex qPCR was significantly higher than by clinical routine diagnostics (76.09% VS 36.13%,χ(2) = 8.191, P = 0.004). The most frequently detected pathogens in the BAL fluid were human adenovirus (HADV)(21.82%), Mycoplasma pneumoniae (20.24%), human rhinovirus (13.96%), Streptococcus pneumoniae (8.90%) and Haemophilus influenzae (8.90%). In 16.4% of the cases co-detection with two or three different pathogens was found. Viral detection rates declined with age, while atypical pathogen detection rates increased with age. Oxygen supply in the HADV and Influenza H1N1 infected patients was more frequent (49.43%) than in patients infected with other pathogens. CONCLUSION: Broad range detection of viral and bacterial pathogens using molecular methods is a promising and implementable approach to improve clinical diagnosis and accurate treatment of LRTI in children. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-021-05834-0.
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spelling pubmed-78641342021-02-08 Broad range detection of viral and bacterial pathogens in bronchoalveolar lavage fluid of children to identify the cause of lower respiratory tract infections Wang, Heping Gu, Jiali Li, Xiaonan van der Gaast-de Jongh, Christa E. Wang, Wenjian He, Xuehui Xu, Zhi Yang, Yonghong de Groot, Ronald de Jonge, Marien I. Zheng, Yuejie BMC Infect Dis Research Article BACKGROUND: Knowledge on the etiology of LRTIs is essential for improvement of the clinical diagnosis and accurate treatment. Molecular detection methods were applied to identify a broad range of bacterial and viral pathogens in a large set of bronchial alveolar lavage (BAL) fluid samples. The patterns of detected pathogens were correlated to the clinical symptoms. METHODS: BAL fluid samples and clinical data were collected from 573 hospitalized children between 1 month and 14 years of age with LRTIs, enrolled from January to December 2018. Pathogens were detected using standardized clinical diagnostics, with a sensitive, high-throughput GeXP-based multiplex PCR and with multiplex qPCR. Data were analyzed to describe the correlation between the severity of respiratory tract disease and the pathogens identified. RESULTS: The pathogen detection rate with GeXP-based PCR and multiplex qPCR was significantly higher than by clinical routine diagnostics (76.09% VS 36.13%,χ(2) = 8.191, P = 0.004). The most frequently detected pathogens in the BAL fluid were human adenovirus (HADV)(21.82%), Mycoplasma pneumoniae (20.24%), human rhinovirus (13.96%), Streptococcus pneumoniae (8.90%) and Haemophilus influenzae (8.90%). In 16.4% of the cases co-detection with two or three different pathogens was found. Viral detection rates declined with age, while atypical pathogen detection rates increased with age. Oxygen supply in the HADV and Influenza H1N1 infected patients was more frequent (49.43%) than in patients infected with other pathogens. CONCLUSION: Broad range detection of viral and bacterial pathogens using molecular methods is a promising and implementable approach to improve clinical diagnosis and accurate treatment of LRTI in children. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-021-05834-0. BioMed Central 2021-02-05 /pmc/articles/PMC7864134/ /pubmed/33546631 http://dx.doi.org/10.1186/s12879-021-05834-0 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Wang, Heping
Gu, Jiali
Li, Xiaonan
van der Gaast-de Jongh, Christa E.
Wang, Wenjian
He, Xuehui
Xu, Zhi
Yang, Yonghong
de Groot, Ronald
de Jonge, Marien I.
Zheng, Yuejie
Broad range detection of viral and bacterial pathogens in bronchoalveolar lavage fluid of children to identify the cause of lower respiratory tract infections
title Broad range detection of viral and bacterial pathogens in bronchoalveolar lavage fluid of children to identify the cause of lower respiratory tract infections
title_full Broad range detection of viral and bacterial pathogens in bronchoalveolar lavage fluid of children to identify the cause of lower respiratory tract infections
title_fullStr Broad range detection of viral and bacterial pathogens in bronchoalveolar lavage fluid of children to identify the cause of lower respiratory tract infections
title_full_unstemmed Broad range detection of viral and bacterial pathogens in bronchoalveolar lavage fluid of children to identify the cause of lower respiratory tract infections
title_short Broad range detection of viral and bacterial pathogens in bronchoalveolar lavage fluid of children to identify the cause of lower respiratory tract infections
title_sort broad range detection of viral and bacterial pathogens in bronchoalveolar lavage fluid of children to identify the cause of lower respiratory tract infections
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7864134/
https://www.ncbi.nlm.nih.gov/pubmed/33546631
http://dx.doi.org/10.1186/s12879-021-05834-0
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