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A Retrospective Paired Comparison Between Untargeted Next Generation Sequencing and Conventional Microbiology Tests With Wisely Chosen Metagenomic Sequencing Positive Criteria

Objectives: To evaluate the performance of metagenomic next generation sequencing (mNGS) using adequate criteria for the detection of pathogens in lower respiratory tract (LRT) samples with a paired comparison to conventional microbiology tests (CMT). Methods: One hundred sixty-seven patients were r...

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Autores principales: Qin, Hanyu, Peng, Jinmin, Liu, Ling, Wu, Jing, Pan, Lingai, Huang, Xiaobo, Huang, Man, Qiu, Haibo, Du, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8526841/
https://www.ncbi.nlm.nih.gov/pubmed/34692715
http://dx.doi.org/10.3389/fmed.2021.686247
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author Qin, Hanyu
Peng, Jinmin
Liu, Ling
Wu, Jing
Pan, Lingai
Huang, Xiaobo
Huang, Man
Qiu, Haibo
Du, Bin
author_facet Qin, Hanyu
Peng, Jinmin
Liu, Ling
Wu, Jing
Pan, Lingai
Huang, Xiaobo
Huang, Man
Qiu, Haibo
Du, Bin
author_sort Qin, Hanyu
collection PubMed
description Objectives: To evaluate the performance of metagenomic next generation sequencing (mNGS) using adequate criteria for the detection of pathogens in lower respiratory tract (LRT) samples with a paired comparison to conventional microbiology tests (CMT). Methods: One hundred sixty-seven patients were reviewed from four different intensive care units (ICUs) in mainland China during 2018 with both mNGS and CMT results of LRT samples available. The reads per million ratio (RPM(sample)/RPM(non−template−control) ratio) and standardized strictly mapped reads number (SDSMRN) were the two criteria chosen for identifying positive pathogens reported from mNGS. A McNemar test was used for a paired comparison analysis between mNGS and CMT. Results: One hundred forty-nine cases were counted into the final analysis. The RPMsample/RPM(NTC) ratio criterion performed better with a higher accuracy for bacteria, fungi, and virus than SDSMRN criterion [bacteria (RPMsample/RPM(NTC) ratio vs. SDSMRN), 65.1 vs. 55.7%; fungi, 75.8 vs. 71.1%; DNA virus, 86.3 vs. 74.5%; RNA virus, 90.9 vs. 81.8%]. The mNGS was also superior in bacteria detection only if an SDSMRN ≥3 was used as a positive criterion with a paired comparison to culture [SDSMRN positive, 92/149 (61.7%); culture positive, 54/149 (36.2%); p < 0.001]; however, it was outperformed with significantly more fungi and DNA virus identification when choosing both criteria for positive outliers [fungi (RPMsample/RPM(NTC) ratio vs. SDSMRN vs. culture), 23.5 vs. 29.5 vs. 8.7%, p < 0.001; DNA virus (RPMsample/RPM(NTC) ratio vs. SDSMRN vs. PCR), 14.1 vs. 20.8 vs. 11.8%, p < 0.05]. Conclusions: Metagenomic next generation sequencing may contribute to revealing the LRT infection etiology in hospitalized groups of potential fungal infections and in situations with less access to the multiplex PCR of LRT samples from the laboratory by choosing a wise criterion like the RPMsample/RPM(NTC) ratio.
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spelling pubmed-85268412021-10-21 A Retrospective Paired Comparison Between Untargeted Next Generation Sequencing and Conventional Microbiology Tests With Wisely Chosen Metagenomic Sequencing Positive Criteria Qin, Hanyu Peng, Jinmin Liu, Ling Wu, Jing Pan, Lingai Huang, Xiaobo Huang, Man Qiu, Haibo Du, Bin Front Med (Lausanne) Medicine Objectives: To evaluate the performance of metagenomic next generation sequencing (mNGS) using adequate criteria for the detection of pathogens in lower respiratory tract (LRT) samples with a paired comparison to conventional microbiology tests (CMT). Methods: One hundred sixty-seven patients were reviewed from four different intensive care units (ICUs) in mainland China during 2018 with both mNGS and CMT results of LRT samples available. The reads per million ratio (RPM(sample)/RPM(non−template−control) ratio) and standardized strictly mapped reads number (SDSMRN) were the two criteria chosen for identifying positive pathogens reported from mNGS. A McNemar test was used for a paired comparison analysis between mNGS and CMT. Results: One hundred forty-nine cases were counted into the final analysis. The RPMsample/RPM(NTC) ratio criterion performed better with a higher accuracy for bacteria, fungi, and virus than SDSMRN criterion [bacteria (RPMsample/RPM(NTC) ratio vs. SDSMRN), 65.1 vs. 55.7%; fungi, 75.8 vs. 71.1%; DNA virus, 86.3 vs. 74.5%; RNA virus, 90.9 vs. 81.8%]. The mNGS was also superior in bacteria detection only if an SDSMRN ≥3 was used as a positive criterion with a paired comparison to culture [SDSMRN positive, 92/149 (61.7%); culture positive, 54/149 (36.2%); p < 0.001]; however, it was outperformed with significantly more fungi and DNA virus identification when choosing both criteria for positive outliers [fungi (RPMsample/RPM(NTC) ratio vs. SDSMRN vs. culture), 23.5 vs. 29.5 vs. 8.7%, p < 0.001; DNA virus (RPMsample/RPM(NTC) ratio vs. SDSMRN vs. PCR), 14.1 vs. 20.8 vs. 11.8%, p < 0.05]. Conclusions: Metagenomic next generation sequencing may contribute to revealing the LRT infection etiology in hospitalized groups of potential fungal infections and in situations with less access to the multiplex PCR of LRT samples from the laboratory by choosing a wise criterion like the RPMsample/RPM(NTC) ratio. Frontiers Media S.A. 2021-10-06 /pmc/articles/PMC8526841/ /pubmed/34692715 http://dx.doi.org/10.3389/fmed.2021.686247 Text en Copyright © 2021 Qin, Peng, Liu, Wu, Pan, Huang, Huang, Qiu, Du and the China Critical Care Clinical Trials Group (CCCCTG). 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 Medicine
Qin, Hanyu
Peng, Jinmin
Liu, Ling
Wu, Jing
Pan, Lingai
Huang, Xiaobo
Huang, Man
Qiu, Haibo
Du, Bin
A Retrospective Paired Comparison Between Untargeted Next Generation Sequencing and Conventional Microbiology Tests With Wisely Chosen Metagenomic Sequencing Positive Criteria
title A Retrospective Paired Comparison Between Untargeted Next Generation Sequencing and Conventional Microbiology Tests With Wisely Chosen Metagenomic Sequencing Positive Criteria
title_full A Retrospective Paired Comparison Between Untargeted Next Generation Sequencing and Conventional Microbiology Tests With Wisely Chosen Metagenomic Sequencing Positive Criteria
title_fullStr A Retrospective Paired Comparison Between Untargeted Next Generation Sequencing and Conventional Microbiology Tests With Wisely Chosen Metagenomic Sequencing Positive Criteria
title_full_unstemmed A Retrospective Paired Comparison Between Untargeted Next Generation Sequencing and Conventional Microbiology Tests With Wisely Chosen Metagenomic Sequencing Positive Criteria
title_short A Retrospective Paired Comparison Between Untargeted Next Generation Sequencing and Conventional Microbiology Tests With Wisely Chosen Metagenomic Sequencing Positive Criteria
title_sort retrospective paired comparison between untargeted next generation sequencing and conventional microbiology tests with wisely chosen metagenomic sequencing positive criteria
topic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8526841/
https://www.ncbi.nlm.nih.gov/pubmed/34692715
http://dx.doi.org/10.3389/fmed.2021.686247
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