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Quantifying the potential value of antigen-detection rapid diagnostic tests for COVID-19: a modelling analysis

BACKGROUND: Testing plays a critical role in treatment and prevention responses to the COVID-19 pandemic. Compared to nucleic acid tests (NATs), antigen-detection rapid diagnostic tests (Ag-RDTs) can be more accessible, but typically have lower sensitivity and specificity. By quantifying these trade...

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Autores principales: Ricks, Saskia, Kendall, Emily A., Dowdy, David W., Sacks, Jilian A., Schumacher, Samuel G., Arinaminpathy, Nimalan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7939929/
https://www.ncbi.nlm.nih.gov/pubmed/33685466
http://dx.doi.org/10.1186/s12916-021-01948-z
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author Ricks, Saskia
Kendall, Emily A.
Dowdy, David W.
Sacks, Jilian A.
Schumacher, Samuel G.
Arinaminpathy, Nimalan
author_facet Ricks, Saskia
Kendall, Emily A.
Dowdy, David W.
Sacks, Jilian A.
Schumacher, Samuel G.
Arinaminpathy, Nimalan
author_sort Ricks, Saskia
collection PubMed
description BACKGROUND: Testing plays a critical role in treatment and prevention responses to the COVID-19 pandemic. Compared to nucleic acid tests (NATs), antigen-detection rapid diagnostic tests (Ag-RDTs) can be more accessible, but typically have lower sensitivity and specificity. By quantifying these trade-offs, we aimed to inform decisions about when an Ag-RDT would offer greater public health value than reliance on NAT. METHODS: Following an expert consultation, we selected two use cases for analysis: rapid identification of people with COVID-19 amongst patients admitted with respiratory symptoms in a ‘hospital’ setting and early identification and isolation of people with mildly symptomatic COVID-19 in a ‘community’ setting. Using decision analysis, we evaluated the health system cost and health impact (deaths averted and infectious days isolated) of an Ag-RDT-led strategy, compared to a strategy based on NAT and clinical judgement. We adopted a broad range of values for ‘contextual’ parameters relevant to a range of settings, including the availability of NAT and the performance of clinical judgement. We performed a multivariate sensitivity analysis to all of these parameters. RESULTS: In a hospital setting, an Ag-RDT-led strategy would avert more deaths than a NAT-based strategy, and at lower cost per death averted, when the sensitivity of clinical judgement is less than 90%, and when NAT results are available in time to inform clinical decision-making for less than 85% of patients. The use of an Ag-RDT is robustly supported in community settings, where it would avert more transmission at lower cost than relying on NAT alone, under a wide range of assumptions. CONCLUSIONS: Despite their imperfect sensitivity and specificity, Ag-RDTs have the potential to be simultaneously more impactful, and have a lower cost per death and infectious person-days averted, than current approaches to COVID-19 diagnostic testing. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-021-01948-z.
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spelling pubmed-79399292021-03-09 Quantifying the potential value of antigen-detection rapid diagnostic tests for COVID-19: a modelling analysis Ricks, Saskia Kendall, Emily A. Dowdy, David W. Sacks, Jilian A. Schumacher, Samuel G. Arinaminpathy, Nimalan BMC Med Research Article BACKGROUND: Testing plays a critical role in treatment and prevention responses to the COVID-19 pandemic. Compared to nucleic acid tests (NATs), antigen-detection rapid diagnostic tests (Ag-RDTs) can be more accessible, but typically have lower sensitivity and specificity. By quantifying these trade-offs, we aimed to inform decisions about when an Ag-RDT would offer greater public health value than reliance on NAT. METHODS: Following an expert consultation, we selected two use cases for analysis: rapid identification of people with COVID-19 amongst patients admitted with respiratory symptoms in a ‘hospital’ setting and early identification and isolation of people with mildly symptomatic COVID-19 in a ‘community’ setting. Using decision analysis, we evaluated the health system cost and health impact (deaths averted and infectious days isolated) of an Ag-RDT-led strategy, compared to a strategy based on NAT and clinical judgement. We adopted a broad range of values for ‘contextual’ parameters relevant to a range of settings, including the availability of NAT and the performance of clinical judgement. We performed a multivariate sensitivity analysis to all of these parameters. RESULTS: In a hospital setting, an Ag-RDT-led strategy would avert more deaths than a NAT-based strategy, and at lower cost per death averted, when the sensitivity of clinical judgement is less than 90%, and when NAT results are available in time to inform clinical decision-making for less than 85% of patients. The use of an Ag-RDT is robustly supported in community settings, where it would avert more transmission at lower cost than relying on NAT alone, under a wide range of assumptions. CONCLUSIONS: Despite their imperfect sensitivity and specificity, Ag-RDTs have the potential to be simultaneously more impactful, and have a lower cost per death and infectious person-days averted, than current approaches to COVID-19 diagnostic testing. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-021-01948-z. BioMed Central 2021-03-09 /pmc/articles/PMC7939929/ /pubmed/33685466 http://dx.doi.org/10.1186/s12916-021-01948-z Text en © The Author(s) 2021 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/. The Creative Commons Public Domain Dedication waiver (http://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 Article
Ricks, Saskia
Kendall, Emily A.
Dowdy, David W.
Sacks, Jilian A.
Schumacher, Samuel G.
Arinaminpathy, Nimalan
Quantifying the potential value of antigen-detection rapid diagnostic tests for COVID-19: a modelling analysis
title Quantifying the potential value of antigen-detection rapid diagnostic tests for COVID-19: a modelling analysis
title_full Quantifying the potential value of antigen-detection rapid diagnostic tests for COVID-19: a modelling analysis
title_fullStr Quantifying the potential value of antigen-detection rapid diagnostic tests for COVID-19: a modelling analysis
title_full_unstemmed Quantifying the potential value of antigen-detection rapid diagnostic tests for COVID-19: a modelling analysis
title_short Quantifying the potential value of antigen-detection rapid diagnostic tests for COVID-19: a modelling analysis
title_sort quantifying the potential value of antigen-detection rapid diagnostic tests for covid-19: a modelling analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7939929/
https://www.ncbi.nlm.nih.gov/pubmed/33685466
http://dx.doi.org/10.1186/s12916-021-01948-z
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