Cargando…

Diagnostic accuracy of multiplex respiratory pathogen panels for influenza or respiratory syncytial virus infections: systematic review and meta-analysis

Respiratory syncytial virus (RSV) and influenza viruses are important global causes of morbidity and mortality. We evaluated the diagnostic accuracy of the Luminex NxTAG respiratory pathogen panels (RPPs)™ (index) against other RPPs (comparator) for detection of RSV and influenza viruses. Studies co...

Descripción completa

Detalles Bibliográficos
Autores principales: Jullien, Sophie, Fitzgerald, Felicity, Keddie, Suzanne, Baerenbold, Oliver, Bassat, Quique, Bradley, John, Falconer, Jane, Fink, Colin, Keogh, Ruth, Hopkins, Heidi, Voice, Marie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9563105/
https://www.ncbi.nlm.nih.gov/pubmed/36229786
http://dx.doi.org/10.1186/s12879-022-07766-9
_version_ 1784808324519165952
author Jullien, Sophie
Fitzgerald, Felicity
Keddie, Suzanne
Baerenbold, Oliver
Bassat, Quique
Bradley, John
Falconer, Jane
Fink, Colin
Keogh, Ruth
Hopkins, Heidi
Voice, Marie
author_facet Jullien, Sophie
Fitzgerald, Felicity
Keddie, Suzanne
Baerenbold, Oliver
Bassat, Quique
Bradley, John
Falconer, Jane
Fink, Colin
Keogh, Ruth
Hopkins, Heidi
Voice, Marie
author_sort Jullien, Sophie
collection PubMed
description Respiratory syncytial virus (RSV) and influenza viruses are important global causes of morbidity and mortality. We evaluated the diagnostic accuracy of the Luminex NxTAG respiratory pathogen panels (RPPs)™ (index) against other RPPs (comparator) for detection of RSV and influenza viruses. Studies comparing human clinical respiratory samples tested with the index and at least one comparator test were included. A random-effect latent class meta-analysis was performed to assess the specificity and sensitivity of the index test for RSV and influenza. Risk of bias was assessed using the QUADAS-2 tool and certainty of evidence using GRADE. Ten studies were included. For RSV, predicted sensitivity was 99% (95% credible interval [CrI] 96–100%) and specificity 100% (95% CrI 98–100%). For influenza A and B, predicted sensitivity was 97% (95% CrI 89–100) and 98% (95% CrI 88–100) respectively; specificity 100% (95% CrI 99–100) and 100% (95% CrI 99–100), respectively. Evidence was low certainty. Although index sensitivity and specificity were excellent, comparators’ performance varied. Further research with clear patient recruitment strategies could ascertain performance across different populations. Protocol Registration: Prospero CRD42021272062. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-022-07766-9.
format Online
Article
Text
id pubmed-9563105
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-95631052022-10-15 Diagnostic accuracy of multiplex respiratory pathogen panels for influenza or respiratory syncytial virus infections: systematic review and meta-analysis Jullien, Sophie Fitzgerald, Felicity Keddie, Suzanne Baerenbold, Oliver Bassat, Quique Bradley, John Falconer, Jane Fink, Colin Keogh, Ruth Hopkins, Heidi Voice, Marie BMC Infect Dis Research Respiratory syncytial virus (RSV) and influenza viruses are important global causes of morbidity and mortality. We evaluated the diagnostic accuracy of the Luminex NxTAG respiratory pathogen panels (RPPs)™ (index) against other RPPs (comparator) for detection of RSV and influenza viruses. Studies comparing human clinical respiratory samples tested with the index and at least one comparator test were included. A random-effect latent class meta-analysis was performed to assess the specificity and sensitivity of the index test for RSV and influenza. Risk of bias was assessed using the QUADAS-2 tool and certainty of evidence using GRADE. Ten studies were included. For RSV, predicted sensitivity was 99% (95% credible interval [CrI] 96–100%) and specificity 100% (95% CrI 98–100%). For influenza A and B, predicted sensitivity was 97% (95% CrI 89–100) and 98% (95% CrI 88–100) respectively; specificity 100% (95% CrI 99–100) and 100% (95% CrI 99–100), respectively. Evidence was low certainty. Although index sensitivity and specificity were excellent, comparators’ performance varied. Further research with clear patient recruitment strategies could ascertain performance across different populations. Protocol Registration: Prospero CRD42021272062. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-022-07766-9. BioMed Central 2022-10-13 /pmc/articles/PMC9563105/ /pubmed/36229786 http://dx.doi.org/10.1186/s12879-022-07766-9 Text en © The Author(s) 2022 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
Jullien, Sophie
Fitzgerald, Felicity
Keddie, Suzanne
Baerenbold, Oliver
Bassat, Quique
Bradley, John
Falconer, Jane
Fink, Colin
Keogh, Ruth
Hopkins, Heidi
Voice, Marie
Diagnostic accuracy of multiplex respiratory pathogen panels for influenza or respiratory syncytial virus infections: systematic review and meta-analysis
title Diagnostic accuracy of multiplex respiratory pathogen panels for influenza or respiratory syncytial virus infections: systematic review and meta-analysis
title_full Diagnostic accuracy of multiplex respiratory pathogen panels for influenza or respiratory syncytial virus infections: systematic review and meta-analysis
title_fullStr Diagnostic accuracy of multiplex respiratory pathogen panels for influenza or respiratory syncytial virus infections: systematic review and meta-analysis
title_full_unstemmed Diagnostic accuracy of multiplex respiratory pathogen panels for influenza or respiratory syncytial virus infections: systematic review and meta-analysis
title_short Diagnostic accuracy of multiplex respiratory pathogen panels for influenza or respiratory syncytial virus infections: systematic review and meta-analysis
title_sort diagnostic accuracy of multiplex respiratory pathogen panels for influenza or respiratory syncytial virus infections: systematic review and meta-analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9563105/
https://www.ncbi.nlm.nih.gov/pubmed/36229786
http://dx.doi.org/10.1186/s12879-022-07766-9
work_keys_str_mv AT julliensophie diagnosticaccuracyofmultiplexrespiratorypathogenpanelsforinfluenzaorrespiratorysyncytialvirusinfectionssystematicreviewandmetaanalysis
AT fitzgeraldfelicity diagnosticaccuracyofmultiplexrespiratorypathogenpanelsforinfluenzaorrespiratorysyncytialvirusinfectionssystematicreviewandmetaanalysis
AT keddiesuzanne diagnosticaccuracyofmultiplexrespiratorypathogenpanelsforinfluenzaorrespiratorysyncytialvirusinfectionssystematicreviewandmetaanalysis
AT baerenboldoliver diagnosticaccuracyofmultiplexrespiratorypathogenpanelsforinfluenzaorrespiratorysyncytialvirusinfectionssystematicreviewandmetaanalysis
AT bassatquique diagnosticaccuracyofmultiplexrespiratorypathogenpanelsforinfluenzaorrespiratorysyncytialvirusinfectionssystematicreviewandmetaanalysis
AT bradleyjohn diagnosticaccuracyofmultiplexrespiratorypathogenpanelsforinfluenzaorrespiratorysyncytialvirusinfectionssystematicreviewandmetaanalysis
AT falconerjane diagnosticaccuracyofmultiplexrespiratorypathogenpanelsforinfluenzaorrespiratorysyncytialvirusinfectionssystematicreviewandmetaanalysis
AT finkcolin diagnosticaccuracyofmultiplexrespiratorypathogenpanelsforinfluenzaorrespiratorysyncytialvirusinfectionssystematicreviewandmetaanalysis
AT keoghruth diagnosticaccuracyofmultiplexrespiratorypathogenpanelsforinfluenzaorrespiratorysyncytialvirusinfectionssystematicreviewandmetaanalysis
AT hopkinsheidi diagnosticaccuracyofmultiplexrespiratorypathogenpanelsforinfluenzaorrespiratorysyncytialvirusinfectionssystematicreviewandmetaanalysis
AT voicemarie diagnosticaccuracyofmultiplexrespiratorypathogenpanelsforinfluenzaorrespiratorysyncytialvirusinfectionssystematicreviewandmetaanalysis