Surveillance to maintain the sensitivity of genotype-based antibiotic resistance diagnostics

The sensitivity of genotype-based diagnostics that predict antimicrobial susceptibility is limited by the extent to which they detect genes and alleles that lead to resistance. As novel resistance variants are expected to emerge, such sensitivity is expected to decline unless the new variants are de...

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Detalles Bibliográficos
Autores principales: Hicks, Allison L., Kissler, Stephen M., Lipsitch, Marc, Grad, Yonatan H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Short Reports
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6874359/
https://www.ncbi.nlm.nih.gov/pubmed/31714937
http://dx.doi.org/10.1371/journal.pbio.3000547
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author Hicks, Allison L.
Kissler, Stephen M.
Lipsitch, Marc
Grad, Yonatan H.
author_facet Hicks, Allison L.
Kissler, Stephen M.
Lipsitch, Marc
Grad, Yonatan H.
author_sort Hicks, Allison L.
collection PubMed
description The sensitivity of genotype-based diagnostics that predict antimicrobial susceptibility is limited by the extent to which they detect genes and alleles that lead to resistance. As novel resistance variants are expected to emerge, such sensitivity is expected to decline unless the new variants are detected and incorporated into the diagnostic. Here, we present a mathematical framework to define how many diagnostic failures may be expected under varying surveillance regimes and thus quantify the surveillance needed to maintain the sensitivity of genotype-based diagnostics.
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spelling pubmed-68743592019-12-06 Surveillance to maintain the sensitivity of genotype-based antibiotic resistance diagnostics Hicks, Allison L. Kissler, Stephen M. Lipsitch, Marc Grad, Yonatan H. PLoS Biol Short Reports The sensitivity of genotype-based diagnostics that predict antimicrobial susceptibility is limited by the extent to which they detect genes and alleles that lead to resistance. As novel resistance variants are expected to emerge, such sensitivity is expected to decline unless the new variants are detected and incorporated into the diagnostic. Here, we present a mathematical framework to define how many diagnostic failures may be expected under varying surveillance regimes and thus quantify the surveillance needed to maintain the sensitivity of genotype-based diagnostics. Public Library of Science 2019-11-12 /pmc/articles/PMC6874359/ /pubmed/31714937 http://dx.doi.org/10.1371/journal.pbio.3000547 Text en © 2019 Hicks et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Short Reports
Hicks, Allison L.
Kissler, Stephen M.
Lipsitch, Marc
Grad, Yonatan H.
Surveillance to maintain the sensitivity of genotype-based antibiotic resistance diagnostics
title Surveillance to maintain the sensitivity of genotype-based antibiotic resistance diagnostics
title_full Surveillance to maintain the sensitivity of genotype-based antibiotic resistance diagnostics
title_fullStr Surveillance to maintain the sensitivity of genotype-based antibiotic resistance diagnostics
title_full_unstemmed Surveillance to maintain the sensitivity of genotype-based antibiotic resistance diagnostics
title_short Surveillance to maintain the sensitivity of genotype-based antibiotic resistance diagnostics
title_sort surveillance to maintain the sensitivity of genotype-based antibiotic resistance diagnostics
topic Short Reports
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6874359/
https://www.ncbi.nlm.nih.gov/pubmed/31714937
http://dx.doi.org/10.1371/journal.pbio.3000547
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