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On-demand, hospital-based, severe acute respiratory coronavirus virus 2 (SARS-CoV-2) genomic epidemiology to support nosocomial outbreak investigations: A prospective molecular epidemiology study
OBJECTIVES: We evaluated the added value of infection control-guided, on demand, and locally performed severe acute respiratory coronavirus virus 2 (SARS-CoV-2) genomic sequencing to support outbreak investigation and control in acute-care settings. DESIGN AND SETTING: This 18-month prospective mole...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10028942/ https://www.ncbi.nlm.nih.gov/pubmed/36960087 http://dx.doi.org/10.1017/ash.2023.119 |
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author | Benoit, Patrick Jolicoeur, Gisèle Point, Floriane Soucy, Chantal Normand, Karine Morency-Potvin, Philippe Gagnon, Simon Kaufmann, Daniel E. Tremblay, Cécile Coutlée, François Harrigan, P. Richard Hardy, Isabelle Smith, Martin Savard, Patrice Grandjean Lapierre, Simon |
author_facet | Benoit, Patrick Jolicoeur, Gisèle Point, Floriane Soucy, Chantal Normand, Karine Morency-Potvin, Philippe Gagnon, Simon Kaufmann, Daniel E. Tremblay, Cécile Coutlée, François Harrigan, P. Richard Hardy, Isabelle Smith, Martin Savard, Patrice Grandjean Lapierre, Simon |
author_sort | Benoit, Patrick |
collection | PubMed |
description | OBJECTIVES: We evaluated the added value of infection control-guided, on demand, and locally performed severe acute respiratory coronavirus virus 2 (SARS-CoV-2) genomic sequencing to support outbreak investigation and control in acute-care settings. DESIGN AND SETTING: This 18-month prospective molecular epidemiology study was conducted at a tertiary-care hospital in Montreal, Canada. When nosocomial transmission was suspected by local infection control, viral genomic sequencing was performed locally for all putative outbreak cases. Molecular and conventional epidemiology data were correlated on a just-in-time basis to improve understanding of coronavirus disease 2019 (COVID-19) transmission and reinforce or adapt control measures. RESULTS: Between April 2020 and October 2021, 6 outbreaks including 59 nosocomial infections (per the epidemiological definition) were investigated. Genomic data supported 7 distinct transmission clusters involving 6 patients and 26 healthcare workers. We identified multiple distinct modes of transmission, which led to reinforcement and adaptation of infection control measures. Molecular epidemiology data also refuted (n = 14) suspected transmission events in favor of community acquired but institutionally clustered cases. CONCLUSION: SARS-CoV-2 genomic sequencing can refute or strengthen transmission hypotheses from conventional nosocomial epidemiological investigations, and guide implementation of setting-specific control strategies. Our study represents a template for prospective, on site, outbreak-focused SARS-CoV-2 sequencing. This approach may become increasingly relevant in a COVID-19 endemic state where systematic sequencing within centralized surveillance programs is not available. TRIAL REGISTRATION: clinicaltrials.gov identifier: NCT05411562 |
format | Online Article Text |
id | pubmed-10028942 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-100289422023-03-22 On-demand, hospital-based, severe acute respiratory coronavirus virus 2 (SARS-CoV-2) genomic epidemiology to support nosocomial outbreak investigations: A prospective molecular epidemiology study Benoit, Patrick Jolicoeur, Gisèle Point, Floriane Soucy, Chantal Normand, Karine Morency-Potvin, Philippe Gagnon, Simon Kaufmann, Daniel E. Tremblay, Cécile Coutlée, François Harrigan, P. Richard Hardy, Isabelle Smith, Martin Savard, Patrice Grandjean Lapierre, Simon Antimicrob Steward Healthc Epidemiol Original Article OBJECTIVES: We evaluated the added value of infection control-guided, on demand, and locally performed severe acute respiratory coronavirus virus 2 (SARS-CoV-2) genomic sequencing to support outbreak investigation and control in acute-care settings. DESIGN AND SETTING: This 18-month prospective molecular epidemiology study was conducted at a tertiary-care hospital in Montreal, Canada. When nosocomial transmission was suspected by local infection control, viral genomic sequencing was performed locally for all putative outbreak cases. Molecular and conventional epidemiology data were correlated on a just-in-time basis to improve understanding of coronavirus disease 2019 (COVID-19) transmission and reinforce or adapt control measures. RESULTS: Between April 2020 and October 2021, 6 outbreaks including 59 nosocomial infections (per the epidemiological definition) were investigated. Genomic data supported 7 distinct transmission clusters involving 6 patients and 26 healthcare workers. We identified multiple distinct modes of transmission, which led to reinforcement and adaptation of infection control measures. Molecular epidemiology data also refuted (n = 14) suspected transmission events in favor of community acquired but institutionally clustered cases. CONCLUSION: SARS-CoV-2 genomic sequencing can refute or strengthen transmission hypotheses from conventional nosocomial epidemiological investigations, and guide implementation of setting-specific control strategies. Our study represents a template for prospective, on site, outbreak-focused SARS-CoV-2 sequencing. This approach may become increasingly relevant in a COVID-19 endemic state where systematic sequencing within centralized surveillance programs is not available. TRIAL REGISTRATION: clinicaltrials.gov identifier: NCT05411562 Cambridge University Press 2023-03-08 /pmc/articles/PMC10028942/ /pubmed/36960087 http://dx.doi.org/10.1017/ash.2023.119 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited. |
spellingShingle | Original Article Benoit, Patrick Jolicoeur, Gisèle Point, Floriane Soucy, Chantal Normand, Karine Morency-Potvin, Philippe Gagnon, Simon Kaufmann, Daniel E. Tremblay, Cécile Coutlée, François Harrigan, P. Richard Hardy, Isabelle Smith, Martin Savard, Patrice Grandjean Lapierre, Simon On-demand, hospital-based, severe acute respiratory coronavirus virus 2 (SARS-CoV-2) genomic epidemiology to support nosocomial outbreak investigations: A prospective molecular epidemiology study |
title | On-demand, hospital-based, severe acute respiratory coronavirus virus 2 (SARS-CoV-2) genomic epidemiology to support nosocomial outbreak investigations: A prospective molecular epidemiology study |
title_full | On-demand, hospital-based, severe acute respiratory coronavirus virus 2 (SARS-CoV-2) genomic epidemiology to support nosocomial outbreak investigations: A prospective molecular epidemiology study |
title_fullStr | On-demand, hospital-based, severe acute respiratory coronavirus virus 2 (SARS-CoV-2) genomic epidemiology to support nosocomial outbreak investigations: A prospective molecular epidemiology study |
title_full_unstemmed | On-demand, hospital-based, severe acute respiratory coronavirus virus 2 (SARS-CoV-2) genomic epidemiology to support nosocomial outbreak investigations: A prospective molecular epidemiology study |
title_short | On-demand, hospital-based, severe acute respiratory coronavirus virus 2 (SARS-CoV-2) genomic epidemiology to support nosocomial outbreak investigations: A prospective molecular epidemiology study |
title_sort | on-demand, hospital-based, severe acute respiratory coronavirus virus 2 (sars-cov-2) genomic epidemiology to support nosocomial outbreak investigations: a prospective molecular epidemiology study |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10028942/ https://www.ncbi.nlm.nih.gov/pubmed/36960087 http://dx.doi.org/10.1017/ash.2023.119 |
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