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The microbiological diagnostic performance of metagenomic next-generation sequencing in patients with sepsis

BACKGROUND: In this study, we aimed to perform a comprehensive analysis on the metagenomic next-generation sequencing for the etiological diagnosis of septic patients, and further to establish optimal read values for detecting common pathogens. METHODS: In this single-center retrospective study, sep...

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Autores principales: Ren, Di, Ren, Chao, Yao, Renqi, Zhang, Lin, Liang, Xiaomin, Li, Guiyun, Wang, Jiaze, Meng, Xinke, Liu, Jia, Ye, Yu, Li, Haoli, Wen, Sha, Chen, Yanhong, Zhou, Dan, He, Xisi, Li, Xiaohong, Lai, Kai, Li, Ying, Gui, Shuiqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8675530/
https://www.ncbi.nlm.nih.gov/pubmed/34915851
http://dx.doi.org/10.1186/s12879-021-06934-7
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author Ren, Di
Ren, Chao
Yao, Renqi
Zhang, Lin
Liang, Xiaomin
Li, Guiyun
Wang, Jiaze
Meng, Xinke
Liu, Jia
Ye, Yu
Li, Haoli
Wen, Sha
Chen, Yanhong
Zhou, Dan
He, Xisi
Li, Xiaohong
Lai, Kai
Li, Ying
Gui, Shuiqing
author_facet Ren, Di
Ren, Chao
Yao, Renqi
Zhang, Lin
Liang, Xiaomin
Li, Guiyun
Wang, Jiaze
Meng, Xinke
Liu, Jia
Ye, Yu
Li, Haoli
Wen, Sha
Chen, Yanhong
Zhou, Dan
He, Xisi
Li, Xiaohong
Lai, Kai
Li, Ying
Gui, Shuiqing
author_sort Ren, Di
collection PubMed
description BACKGROUND: In this study, we aimed to perform a comprehensive analysis on the metagenomic next-generation sequencing for the etiological diagnosis of septic patients, and further to establish optimal read values for detecting common pathogens. METHODS: In this single-center retrospective study, septic patients who underwent pathogen detection by both microbial culture and metagenomic next-generation sequencing in the intensive care unit of the Second People’s Hospital of Shenzhen from June 24, 2015, to October 20, 2019, were included. RESULTS: A total of 193 patients with 305 detected specimens were included in the final analysis. The results of metagenomic next-generation sequencing showed significantly higher positive rates in samples from disparate loci, including blood, bronchoalveolar lavage fluid, and cerebrospinal fluid, as well as in the determination of various pathogens. The optimal diagnostic reads were 2893, 1825.5, and 892.5 for Acinetobacter baumannii, Pseudomonas aeruginosa, and Klebsiella pneumoniae, respectively. CONCLUSIONS: The metagenomic next-generation sequencing is capable of identifying multiple pathogens in specimens from septic patients, and shows significantly higher positive rates than culture-based diagnostics. The optimal diagnostic reads for frequently detected microbes might be useful for the clinical application of metagenomic next-generation sequencing in terms of timely and accurately determining etiological pathogens for suspected and confirmed cases of sepsis due to well-performed data interpretation.
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spelling pubmed-86755302021-12-20 The microbiological diagnostic performance of metagenomic next-generation sequencing in patients with sepsis Ren, Di Ren, Chao Yao, Renqi Zhang, Lin Liang, Xiaomin Li, Guiyun Wang, Jiaze Meng, Xinke Liu, Jia Ye, Yu Li, Haoli Wen, Sha Chen, Yanhong Zhou, Dan He, Xisi Li, Xiaohong Lai, Kai Li, Ying Gui, Shuiqing BMC Infect Dis Research BACKGROUND: In this study, we aimed to perform a comprehensive analysis on the metagenomic next-generation sequencing for the etiological diagnosis of septic patients, and further to establish optimal read values for detecting common pathogens. METHODS: In this single-center retrospective study, septic patients who underwent pathogen detection by both microbial culture and metagenomic next-generation sequencing in the intensive care unit of the Second People’s Hospital of Shenzhen from June 24, 2015, to October 20, 2019, were included. RESULTS: A total of 193 patients with 305 detected specimens were included in the final analysis. The results of metagenomic next-generation sequencing showed significantly higher positive rates in samples from disparate loci, including blood, bronchoalveolar lavage fluid, and cerebrospinal fluid, as well as in the determination of various pathogens. The optimal diagnostic reads were 2893, 1825.5, and 892.5 for Acinetobacter baumannii, Pseudomonas aeruginosa, and Klebsiella pneumoniae, respectively. CONCLUSIONS: The metagenomic next-generation sequencing is capable of identifying multiple pathogens in specimens from septic patients, and shows significantly higher positive rates than culture-based diagnostics. The optimal diagnostic reads for frequently detected microbes might be useful for the clinical application of metagenomic next-generation sequencing in terms of timely and accurately determining etiological pathogens for suspected and confirmed cases of sepsis due to well-performed data interpretation. BioMed Central 2021-12-16 /pmc/articles/PMC8675530/ /pubmed/34915851 http://dx.doi.org/10.1186/s12879-021-06934-7 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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
Ren, Di
Ren, Chao
Yao, Renqi
Zhang, Lin
Liang, Xiaomin
Li, Guiyun
Wang, Jiaze
Meng, Xinke
Liu, Jia
Ye, Yu
Li, Haoli
Wen, Sha
Chen, Yanhong
Zhou, Dan
He, Xisi
Li, Xiaohong
Lai, Kai
Li, Ying
Gui, Shuiqing
The microbiological diagnostic performance of metagenomic next-generation sequencing in patients with sepsis
title The microbiological diagnostic performance of metagenomic next-generation sequencing in patients with sepsis
title_full The microbiological diagnostic performance of metagenomic next-generation sequencing in patients with sepsis
title_fullStr The microbiological diagnostic performance of metagenomic next-generation sequencing in patients with sepsis
title_full_unstemmed The microbiological diagnostic performance of metagenomic next-generation sequencing in patients with sepsis
title_short The microbiological diagnostic performance of metagenomic next-generation sequencing in patients with sepsis
title_sort microbiological diagnostic performance of metagenomic next-generation sequencing in patients with sepsis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8675530/
https://www.ncbi.nlm.nih.gov/pubmed/34915851
http://dx.doi.org/10.1186/s12879-021-06934-7
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