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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....
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2022
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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. |
format | Online Article Text |
id | pubmed-9726552 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
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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