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Utilizing Metagenomic Next-Generation Sequencing (mNGS) for Rapid Pathogen Identification and to Inform Clinical Decision-Making: Results from a Large Real-World Cohort

INTRODUCTION: Clinical metagenomic next-generation sequencing (mNGS) has proven to be a powerful diagnostic tool in pathogen detection. However, its clinical utility has not been thoroughly evaluated. METHODS: In this single-center prospective study at the First Affiliated Hospital of Soochow Univer...

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Autores principales: Xu, Jie, Zhou, Peng, Liu, Jia, Zhao, Lina, Fu, Hailong, Han, Qingzhen, Wang, Lin, Wu, Weiwei, Ou, Qiuxiang, Ma, Yutong, He, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Healthcare 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10147866/
https://www.ncbi.nlm.nih.gov/pubmed/36988865
http://dx.doi.org/10.1007/s40121-023-00790-5
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author Xu, Jie
Zhou, Peng
Liu, Jia
Zhao, Lina
Fu, Hailong
Han, Qingzhen
Wang, Lin
Wu, Weiwei
Ou, Qiuxiang
Ma, Yutong
He, Jun
author_facet Xu, Jie
Zhou, Peng
Liu, Jia
Zhao, Lina
Fu, Hailong
Han, Qingzhen
Wang, Lin
Wu, Weiwei
Ou, Qiuxiang
Ma, Yutong
He, Jun
author_sort Xu, Jie
collection PubMed
description INTRODUCTION: Clinical metagenomic next-generation sequencing (mNGS) has proven to be a powerful diagnostic tool in pathogen detection. However, its clinical utility has not been thoroughly evaluated. METHODS: In this single-center prospective study at the First Affiliated Hospital of Soochow University, a total of 228 samples from 215 patients suspected of having acute or chronic infections between June 2018 and December 2018 were studied. Samples that met the mNGS quality control (QC) criteria (N = 201) were simultaneously analyzed using conventional tests (CTs), including multiple clinical microbiological tests and real-time PCR (if applicable). RESULTS: Pathogen detection results of mNGS in the 201 QC-passed samples were compared to CTs and exhibited a sensitivity of 98.8%, specificity of 38.5%, and accuracy of 87.1%. Specifically, 109 out of 160 (68.1%) CT+/mNGS+ samples exhibited concordant results at the species/genus level, 25 samples (15.6%) showed overlapping results, while the remaining 26 samples (16.3%) had discordant results between the CT and mNGS assays. In addition, mNGS could identify pathogens at the species level, whereas only the genera of some pathogens could be identified by CT. In this cohort, mNGS results were used to guide treatment plans in 24 out of 41 cases that had available follow-up information, and the symptoms were improved in over 70% (17/24) of them. CONCLUSION: Our data demonstrated the analytic performance of our mNGS pipeline for pathogen detection using a large clinical cohort and strongly supports the notion that in clinical practice, mNGS represents a valuable supplementary tool to CTs to rapidly determine etiological factors of various types of infection and to guide treatment decision-making. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40121-023-00790-5.
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spelling pubmed-101478662023-04-30 Utilizing Metagenomic Next-Generation Sequencing (mNGS) for Rapid Pathogen Identification and to Inform Clinical Decision-Making: Results from a Large Real-World Cohort Xu, Jie Zhou, Peng Liu, Jia Zhao, Lina Fu, Hailong Han, Qingzhen Wang, Lin Wu, Weiwei Ou, Qiuxiang Ma, Yutong He, Jun Infect Dis Ther Original Research INTRODUCTION: Clinical metagenomic next-generation sequencing (mNGS) has proven to be a powerful diagnostic tool in pathogen detection. However, its clinical utility has not been thoroughly evaluated. METHODS: In this single-center prospective study at the First Affiliated Hospital of Soochow University, a total of 228 samples from 215 patients suspected of having acute or chronic infections between June 2018 and December 2018 were studied. Samples that met the mNGS quality control (QC) criteria (N = 201) were simultaneously analyzed using conventional tests (CTs), including multiple clinical microbiological tests and real-time PCR (if applicable). RESULTS: Pathogen detection results of mNGS in the 201 QC-passed samples were compared to CTs and exhibited a sensitivity of 98.8%, specificity of 38.5%, and accuracy of 87.1%. Specifically, 109 out of 160 (68.1%) CT+/mNGS+ samples exhibited concordant results at the species/genus level, 25 samples (15.6%) showed overlapping results, while the remaining 26 samples (16.3%) had discordant results between the CT and mNGS assays. In addition, mNGS could identify pathogens at the species level, whereas only the genera of some pathogens could be identified by CT. In this cohort, mNGS results were used to guide treatment plans in 24 out of 41 cases that had available follow-up information, and the symptoms were improved in over 70% (17/24) of them. CONCLUSION: Our data demonstrated the analytic performance of our mNGS pipeline for pathogen detection using a large clinical cohort and strongly supports the notion that in clinical practice, mNGS represents a valuable supplementary tool to CTs to rapidly determine etiological factors of various types of infection and to guide treatment decision-making. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40121-023-00790-5. Springer Healthcare 2023-03-29 2023-04 /pmc/articles/PMC10147866/ /pubmed/36988865 http://dx.doi.org/10.1007/s40121-023-00790-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc/4.0/Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial 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-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Original Research
Xu, Jie
Zhou, Peng
Liu, Jia
Zhao, Lina
Fu, Hailong
Han, Qingzhen
Wang, Lin
Wu, Weiwei
Ou, Qiuxiang
Ma, Yutong
He, Jun
Utilizing Metagenomic Next-Generation Sequencing (mNGS) for Rapid Pathogen Identification and to Inform Clinical Decision-Making: Results from a Large Real-World Cohort
title Utilizing Metagenomic Next-Generation Sequencing (mNGS) for Rapid Pathogen Identification and to Inform Clinical Decision-Making: Results from a Large Real-World Cohort
title_full Utilizing Metagenomic Next-Generation Sequencing (mNGS) for Rapid Pathogen Identification and to Inform Clinical Decision-Making: Results from a Large Real-World Cohort
title_fullStr Utilizing Metagenomic Next-Generation Sequencing (mNGS) for Rapid Pathogen Identification and to Inform Clinical Decision-Making: Results from a Large Real-World Cohort
title_full_unstemmed Utilizing Metagenomic Next-Generation Sequencing (mNGS) for Rapid Pathogen Identification and to Inform Clinical Decision-Making: Results from a Large Real-World Cohort
title_short Utilizing Metagenomic Next-Generation Sequencing (mNGS) for Rapid Pathogen Identification and to Inform Clinical Decision-Making: Results from a Large Real-World Cohort
title_sort utilizing metagenomic next-generation sequencing (mngs) for rapid pathogen identification and to inform clinical decision-making: results from a large real-world cohort
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10147866/
https://www.ncbi.nlm.nih.gov/pubmed/36988865
http://dx.doi.org/10.1007/s40121-023-00790-5
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