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Comparative diagnostic utility of metagenomic next‐generation sequencing, GeneXpert, modified Ziehl–Neelsen staining, and culture using cerebrospinal fluid for tuberculous meningitis: A multi‐center, retrospective study in China
BACKGROUND: Early diagnosis of tuberculosis meningitis (TBM) remains a great challenge during clinical practice. The diagnostic efficacies of cerebrospinal fluid (CSF)‐based mycobacterial growth indicator tube (MGIT) culture, modified Ziehl–Neelsen (ZN) staining, Xpert MTB/RIF, and metagenomic next‐...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8993600/ https://www.ncbi.nlm.nih.gov/pubmed/35202495 http://dx.doi.org/10.1002/jcla.24307 |
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author | Chen, Yuxin Wang, Yuqing Liu, Xiaojin Li, Wen Fu, Hongyi Liu, Xinyan Zhang, Xun Zhou, Xueqin Yang, Bingzhou Yao, Jie Ma, Xiaolei Han, Lijun Li, Huan Zheng, Liheng |
author_facet | Chen, Yuxin Wang, Yuqing Liu, Xiaojin Li, Wen Fu, Hongyi Liu, Xinyan Zhang, Xun Zhou, Xueqin Yang, Bingzhou Yao, Jie Ma, Xiaolei Han, Lijun Li, Huan Zheng, Liheng |
author_sort | Chen, Yuxin |
collection | PubMed |
description | BACKGROUND: Early diagnosis of tuberculosis meningitis (TBM) remains a great challenge during clinical practice. The diagnostic efficacies of cerebrospinal fluid (CSF)‐based mycobacterial growth indicator tube (MGIT) culture, modified Ziehl–Neelsen (ZN) staining, Xpert MTB/RIF, and metagenomic next‐generation sequencing (mNGS) for TBM remained elusive. METHODS: A total of 216 adult patients with suspicious TBM were retrospectively enrolled in this multi‐cohort study. The diagnostic performances for MGIT, modified ZN staining, Xpert MTB/RIF, and mNGS using CSF samples were evaluated. RESULTS: Uniform clinical case definition classified 88 (40.7%) out of 216 patients as the definite TBM, 5 (2.3%) patients as probable TBM cases, and 24 (11.1%) patients as possible TBM cases. The sensitivities of MGIT, modified ZN staining, Xpert MTB/RIF, and mNGS for TBM diagnosis against consensus uniform case definition for definite TBM were 25.0%, 76.1%, 73.9%, and 84.1%, respectively. Negative predictive values (NPVs) were 66.0%, 85.9%, 84.8%, and 90.1%, respectively. The sensitivities of MGIT, modified ZN staining, Xpert MTB/RIF, and mNGS for TBM diagnosis against consensus uniform case definition for definite, probable, and possible TBM were 18.8%, 57.3%, 55.5%, and 63.2%, respectively. Negative predictive values (NPVs) were 51.0%, 66.4%, 65.6%, and 69.7%, respectively. mNGS combined with modified ZN stain and Xpert could cover TBM cases against a composite microbiological reference standard, yielding 100% specificity and 100% NPV. CONCLUSION: Metagenomic next‐generation sequencing detected TBM with higher sensitivity than Xpert, ZN staining and MGIT culture, but mNGS cannot be used as a rule‐out test. mNGS combined with Xpert or modified ZN staining could enhance the sensitivity of diagnostic tests for TBM. |
format | Online Article Text |
id | pubmed-8993600 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-89936002022-04-13 Comparative diagnostic utility of metagenomic next‐generation sequencing, GeneXpert, modified Ziehl–Neelsen staining, and culture using cerebrospinal fluid for tuberculous meningitis: A multi‐center, retrospective study in China Chen, Yuxin Wang, Yuqing Liu, Xiaojin Li, Wen Fu, Hongyi Liu, Xinyan Zhang, Xun Zhou, Xueqin Yang, Bingzhou Yao, Jie Ma, Xiaolei Han, Lijun Li, Huan Zheng, Liheng J Clin Lab Anal Research Articles BACKGROUND: Early diagnosis of tuberculosis meningitis (TBM) remains a great challenge during clinical practice. The diagnostic efficacies of cerebrospinal fluid (CSF)‐based mycobacterial growth indicator tube (MGIT) culture, modified Ziehl–Neelsen (ZN) staining, Xpert MTB/RIF, and metagenomic next‐generation sequencing (mNGS) for TBM remained elusive. METHODS: A total of 216 adult patients with suspicious TBM were retrospectively enrolled in this multi‐cohort study. The diagnostic performances for MGIT, modified ZN staining, Xpert MTB/RIF, and mNGS using CSF samples were evaluated. RESULTS: Uniform clinical case definition classified 88 (40.7%) out of 216 patients as the definite TBM, 5 (2.3%) patients as probable TBM cases, and 24 (11.1%) patients as possible TBM cases. The sensitivities of MGIT, modified ZN staining, Xpert MTB/RIF, and mNGS for TBM diagnosis against consensus uniform case definition for definite TBM were 25.0%, 76.1%, 73.9%, and 84.1%, respectively. Negative predictive values (NPVs) were 66.0%, 85.9%, 84.8%, and 90.1%, respectively. The sensitivities of MGIT, modified ZN staining, Xpert MTB/RIF, and mNGS for TBM diagnosis against consensus uniform case definition for definite, probable, and possible TBM were 18.8%, 57.3%, 55.5%, and 63.2%, respectively. Negative predictive values (NPVs) were 51.0%, 66.4%, 65.6%, and 69.7%, respectively. mNGS combined with modified ZN stain and Xpert could cover TBM cases against a composite microbiological reference standard, yielding 100% specificity and 100% NPV. CONCLUSION: Metagenomic next‐generation sequencing detected TBM with higher sensitivity than Xpert, ZN staining and MGIT culture, but mNGS cannot be used as a rule‐out test. mNGS combined with Xpert or modified ZN staining could enhance the sensitivity of diagnostic tests for TBM. John Wiley and Sons Inc. 2022-02-24 /pmc/articles/PMC8993600/ /pubmed/35202495 http://dx.doi.org/10.1002/jcla.24307 Text en © 2022 The Authors. Journal of Clinical Laboratory Analysis published by Wiley Periodicals LLC https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Chen, Yuxin Wang, Yuqing Liu, Xiaojin Li, Wen Fu, Hongyi Liu, Xinyan Zhang, Xun Zhou, Xueqin Yang, Bingzhou Yao, Jie Ma, Xiaolei Han, Lijun Li, Huan Zheng, Liheng Comparative diagnostic utility of metagenomic next‐generation sequencing, GeneXpert, modified Ziehl–Neelsen staining, and culture using cerebrospinal fluid for tuberculous meningitis: A multi‐center, retrospective study in China |
title | Comparative diagnostic utility of metagenomic next‐generation sequencing, GeneXpert, modified Ziehl–Neelsen staining, and culture using cerebrospinal fluid for tuberculous meningitis: A multi‐center, retrospective study in China |
title_full | Comparative diagnostic utility of metagenomic next‐generation sequencing, GeneXpert, modified Ziehl–Neelsen staining, and culture using cerebrospinal fluid for tuberculous meningitis: A multi‐center, retrospective study in China |
title_fullStr | Comparative diagnostic utility of metagenomic next‐generation sequencing, GeneXpert, modified Ziehl–Neelsen staining, and culture using cerebrospinal fluid for tuberculous meningitis: A multi‐center, retrospective study in China |
title_full_unstemmed | Comparative diagnostic utility of metagenomic next‐generation sequencing, GeneXpert, modified Ziehl–Neelsen staining, and culture using cerebrospinal fluid for tuberculous meningitis: A multi‐center, retrospective study in China |
title_short | Comparative diagnostic utility of metagenomic next‐generation sequencing, GeneXpert, modified Ziehl–Neelsen staining, and culture using cerebrospinal fluid for tuberculous meningitis: A multi‐center, retrospective study in China |
title_sort | comparative diagnostic utility of metagenomic next‐generation sequencing, genexpert, modified ziehl–neelsen staining, and culture using cerebrospinal fluid for tuberculous meningitis: a multi‐center, retrospective study in china |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8993600/ https://www.ncbi.nlm.nih.gov/pubmed/35202495 http://dx.doi.org/10.1002/jcla.24307 |
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