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Improving Technology to Diagnose Tuberculous Meningitis: Are We There Yet?
Diagnosis of tuberculous meningitis (TBM) remains challenging due to a paucity of high-performance diagnostics. Even those that have reasonable sensitivity are not adequate to ‘rule out' TBM. Therefore, a combination of clinical factors alongside microbiological, molecular, and radiological inv...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9195574/ https://www.ncbi.nlm.nih.gov/pubmed/35711276 http://dx.doi.org/10.3389/fneur.2022.892224 |
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author | Ssebambulidde, Kenneth Gakuru, Jane Ellis, Jayne Cresswell, Fiona V. Bahr, Nathan C. |
author_facet | Ssebambulidde, Kenneth Gakuru, Jane Ellis, Jayne Cresswell, Fiona V. Bahr, Nathan C. |
author_sort | Ssebambulidde, Kenneth |
collection | PubMed |
description | Diagnosis of tuberculous meningitis (TBM) remains challenging due to a paucity of high-performance diagnostics. Even those that have reasonable sensitivity are not adequate to ‘rule out' TBM. Therefore, a combination of clinical factors alongside microbiological, molecular, and radiological investigations are utilized, depending on availability. A low threshold for starting empiric therapy in the appropriate clinical scenario remains crucial for good outcomes in many cases. Herein, we review the current TBM diagnostics landscape with a focus on limitations frequently encountered, such as diagnostic test performance, cost, laboratory infrastructure, and clinical expertise. Though molecular technologies, particularly GeneXpert MTB/Rif Ultra, have been a step forward, diagnosis of TBM remains difficult. We also provide an overview of promising technologies, such as cerebrospinal fluid (CSF) lactate, a new lipoarabinomannan test (FujiLAM), metagenomic next-generation sequencing, and transcriptomics that may further improve our TBM diagnostic capacity and lead to better outcomes. |
format | Online Article Text |
id | pubmed-9195574 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-91955742022-06-15 Improving Technology to Diagnose Tuberculous Meningitis: Are We There Yet? Ssebambulidde, Kenneth Gakuru, Jane Ellis, Jayne Cresswell, Fiona V. Bahr, Nathan C. Front Neurol Neurology Diagnosis of tuberculous meningitis (TBM) remains challenging due to a paucity of high-performance diagnostics. Even those that have reasonable sensitivity are not adequate to ‘rule out' TBM. Therefore, a combination of clinical factors alongside microbiological, molecular, and radiological investigations are utilized, depending on availability. A low threshold for starting empiric therapy in the appropriate clinical scenario remains crucial for good outcomes in many cases. Herein, we review the current TBM diagnostics landscape with a focus on limitations frequently encountered, such as diagnostic test performance, cost, laboratory infrastructure, and clinical expertise. Though molecular technologies, particularly GeneXpert MTB/Rif Ultra, have been a step forward, diagnosis of TBM remains difficult. We also provide an overview of promising technologies, such as cerebrospinal fluid (CSF) lactate, a new lipoarabinomannan test (FujiLAM), metagenomic next-generation sequencing, and transcriptomics that may further improve our TBM diagnostic capacity and lead to better outcomes. Frontiers Media S.A. 2022-05-30 /pmc/articles/PMC9195574/ /pubmed/35711276 http://dx.doi.org/10.3389/fneur.2022.892224 Text en Copyright © 2022 Ssebambulidde, Gakuru, Ellis, Cresswell and Bahr. 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 | Neurology Ssebambulidde, Kenneth Gakuru, Jane Ellis, Jayne Cresswell, Fiona V. Bahr, Nathan C. Improving Technology to Diagnose Tuberculous Meningitis: Are We There Yet? |
title | Improving Technology to Diagnose Tuberculous Meningitis: Are We There Yet? |
title_full | Improving Technology to Diagnose Tuberculous Meningitis: Are We There Yet? |
title_fullStr | Improving Technology to Diagnose Tuberculous Meningitis: Are We There Yet? |
title_full_unstemmed | Improving Technology to Diagnose Tuberculous Meningitis: Are We There Yet? |
title_short | Improving Technology to Diagnose Tuberculous Meningitis: Are We There Yet? |
title_sort | improving technology to diagnose tuberculous meningitis: are we there yet? |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9195574/ https://www.ncbi.nlm.nih.gov/pubmed/35711276 http://dx.doi.org/10.3389/fneur.2022.892224 |
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