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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2023
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
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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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