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Factors contributing to a coronavirus disease 2019 (COVID-19) outbreak on a mixed medical-surgical unit in a Canadian acute-care hospital

OBJECTIVE: To identify preventable factors that contribute to the cross transmission of severe acute respiratory coronavirus virus 2 (SARS-CoV-2) to patients in healthcare facilities. DESIGN: A case–control study was conducted among inpatients on a coronavirus disease 2019 (COVID-19) outbreak unit....

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Autores principales: McCallum, Megan K., Patriquin, Glenn, Davis, Ian R.C., MacDonald, Tammy, Gaston, Daniel, LeBlanc, Jason J., Shabi, Yahya, Johnston, B. Lynn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9726552/
https://www.ncbi.nlm.nih.gov/pubmed/36483428
http://dx.doi.org/10.1017/ash.2022.288
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author McCallum, Megan K.
Patriquin, Glenn
Davis, Ian R.C.
MacDonald, Tammy
Gaston, Daniel
LeBlanc, Jason J.
Shabi, Yahya
Johnston, B. Lynn
author_facet McCallum, Megan K.
Patriquin, Glenn
Davis, Ian R.C.
MacDonald, Tammy
Gaston, Daniel
LeBlanc, Jason J.
Shabi, Yahya
Johnston, B. Lynn
author_sort McCallum, Megan K.
collection PubMed
description OBJECTIVE: To identify preventable factors that contribute to the cross transmission of severe acute respiratory coronavirus virus 2 (SARS-CoV-2) to patients in healthcare facilities. DESIGN: A case–control study was conducted among inpatients on a coronavirus disease 2019 (COVID-19) outbreak unit. SETTING: This study was conducted in a medical-surgical unit of a tertiary-care hospital in Nova Scotia in May 2021. PATIENTS: Patients hospitalized on the unit for at least 12 hours and healthcare workers (HCW) working on the unit within 2 weeks of outbreak declaration were included. METHODS: Risk factors for SARS-CoV-2 infection were analyzed using simple and multiple logistic regression. Whole-genome sequencing (WGS) was performed to identify SARS-CoV-2 strain relatedness. Network analysis was used to describe patient accommodation. RESULTS: SARS-CoV-2 infections were identified in 21 patients (29.6%) and 11 HCWs (6.6%). WGS data revealed 4 distinct clades of related sequences. Several factors likely contributed to the outbreak, including failure to identify SARS-CoV-2, a largely incomplete or unvaccinated population, and patient wandering behaviors. The most significant risk factor for SARS-CoV-2 infection was room sharing with an infectious patient, which was the only factor that remained statistically significant following multivariate analysis (odds ratio [OR], 9.2l; 95% confidence interval [CI], 2.04–41.67; P = .004). CONCLUSIONS: This outbreak likely resulted from admission of 2 patients with COVID-19, with subsequent transmissions to 17 patients and 11 staff. WGS and bioinformatics analyses were critical to identifying previously unrecognized nosocomial transmissions of SARS-CoV-2. This study supports strategies to reduce nosocomial transmissions of SARS-CoV-2, such as single-patient rooms, promotion of COVID-19 vaccination, and infection prevention and control measures including management of wandering behaviors.
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spelling pubmed-97265522022-12-07 Factors contributing to a coronavirus disease 2019 (COVID-19) outbreak on a mixed medical-surgical unit in a Canadian acute-care hospital McCallum, Megan K. Patriquin, Glenn Davis, Ian R.C. MacDonald, Tammy Gaston, Daniel LeBlanc, Jason J. Shabi, Yahya Johnston, B. Lynn Antimicrob Steward Healthc Epidemiol Original Article OBJECTIVE: To identify preventable factors that contribute to the cross transmission of severe acute respiratory coronavirus virus 2 (SARS-CoV-2) to patients in healthcare facilities. DESIGN: A case–control study was conducted among inpatients on a coronavirus disease 2019 (COVID-19) outbreak unit. SETTING: This study was conducted in a medical-surgical unit of a tertiary-care hospital in Nova Scotia in May 2021. PATIENTS: Patients hospitalized on the unit for at least 12 hours and healthcare workers (HCW) working on the unit within 2 weeks of outbreak declaration were included. METHODS: Risk factors for SARS-CoV-2 infection were analyzed using simple and multiple logistic regression. Whole-genome sequencing (WGS) was performed to identify SARS-CoV-2 strain relatedness. Network analysis was used to describe patient accommodation. RESULTS: SARS-CoV-2 infections were identified in 21 patients (29.6%) and 11 HCWs (6.6%). WGS data revealed 4 distinct clades of related sequences. Several factors likely contributed to the outbreak, including failure to identify SARS-CoV-2, a largely incomplete or unvaccinated population, and patient wandering behaviors. The most significant risk factor for SARS-CoV-2 infection was room sharing with an infectious patient, which was the only factor that remained statistically significant following multivariate analysis (odds ratio [OR], 9.2l; 95% confidence interval [CI], 2.04–41.67; P = .004). CONCLUSIONS: This outbreak likely resulted from admission of 2 patients with COVID-19, with subsequent transmissions to 17 patients and 11 staff. WGS and bioinformatics analyses were critical to identifying previously unrecognized nosocomial transmissions of SARS-CoV-2. This study supports strategies to reduce nosocomial transmissions of SARS-CoV-2, such as single-patient rooms, promotion of COVID-19 vaccination, and infection prevention and control measures including management of wandering behaviors. Cambridge University Press 2022-09-08 /pmc/articles/PMC9726552/ /pubmed/36483428 http://dx.doi.org/10.1017/ash.2022.288 Text en © The Author(s) 2022 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
McCallum, Megan K.
Patriquin, Glenn
Davis, Ian R.C.
MacDonald, Tammy
Gaston, Daniel
LeBlanc, Jason J.
Shabi, Yahya
Johnston, B. Lynn
Factors contributing to a coronavirus disease 2019 (COVID-19) outbreak on a mixed medical-surgical unit in a Canadian acute-care hospital
title Factors contributing to a coronavirus disease 2019 (COVID-19) outbreak on a mixed medical-surgical unit in a Canadian acute-care hospital
title_full Factors contributing to a coronavirus disease 2019 (COVID-19) outbreak on a mixed medical-surgical unit in a Canadian acute-care hospital
title_fullStr Factors contributing to a coronavirus disease 2019 (COVID-19) outbreak on a mixed medical-surgical unit in a Canadian acute-care hospital
title_full_unstemmed Factors contributing to a coronavirus disease 2019 (COVID-19) outbreak on a mixed medical-surgical unit in a Canadian acute-care hospital
title_short Factors contributing to a coronavirus disease 2019 (COVID-19) outbreak on a mixed medical-surgical unit in a Canadian acute-care hospital
title_sort factors contributing to a coronavirus disease 2019 (covid-19) outbreak on a mixed medical-surgical unit in a canadian acute-care hospital
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9726552/
https://www.ncbi.nlm.nih.gov/pubmed/36483428
http://dx.doi.org/10.1017/ash.2022.288
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