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2303. Detection of COVID-19 Outbreaks in Hospitals Using Built Environment Testing for SARS-CoV-2

BACKGROUND: Environmental testing for SARS-CoV-2 including assessment of wastewater and the built environment is a useful tool for population-level surveillance for COVID-19. Detection of SARS-CoV-2 on the floor of healthcare facilities has been strongly associated with cases of COVID-19 (1,2). By i...

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Autores principales: Castellani, Lucas, MacFadden, Derek, Moggridge, Jason, Feenstra, Bryan, Wiebe, Makenna, Abey, Sawith, Doukhanine, Evgueni, Fralick, Michael, Hinz, Aaron, Hug, Laura, Thampi, Nisha, Wong, Alex, Kassen, Rees, Nott, Caroline
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10678664/
http://dx.doi.org/10.1093/ofid/ofad500.1925
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author Castellani, Lucas
MacFadden, Derek
Moggridge, Jason
Feenstra, Bryan
Wiebe, Makenna
Abey, Sawith
Doukhanine, Evgueni
Fralick, Michael
Hinz, Aaron
Hug, Laura
Thampi, Nisha
Wong, Alex
Kassen, Rees
Nott, Caroline
author_facet Castellani, Lucas
MacFadden, Derek
Moggridge, Jason
Feenstra, Bryan
Wiebe, Makenna
Abey, Sawith
Doukhanine, Evgueni
Fralick, Michael
Hinz, Aaron
Hug, Laura
Thampi, Nisha
Wong, Alex
Kassen, Rees
Nott, Caroline
author_sort Castellani, Lucas
collection PubMed
description BACKGROUND: Environmental testing for SARS-CoV-2 including assessment of wastewater and the built environment is a useful tool for population-level surveillance for COVID-19. Detection of SARS-CoV-2 on the floor of healthcare facilities has been strongly associated with cases of COVID-19 (1,2). By introducing routine floor-swabbing in hospitals, we may be able to predict outbreaks earlier allowing for additional control measures. METHODS: We implemented floor swabbing surveillance for SARS-CoV-2 to aid the identification of COVID-19 cases and outbreaks in hospitals. Swabs were taken weekly at eight hospital in-patient wards in healthcare worker-only (HCW) areas at two hospitals in Ontario, Canada, for a 39-week period (July 2022 to March 2023). HCW cases and outbreaks were managed as per usual processes at the facilities. A logistic regression model with ward-level random intercepts was developed using weekly viral copies (VC) to predict a contemporaneous outbreak in the same ward in the same week. Grouped 5-fold cross-validation was used to evaluate model outbreak discrimination. RESULTS: SARS-CoV-2 RNA was detected on 537 of 760 collected swabs (71%). Hospital A had more frequent detection and higher levels of SARS-CoV-2 (swab positivity = 90% [95% CI: 85%-93%], mean VC = 23, [19-29]) than Hospital B (swab positivity = 60% [55%-64%], mean VC = 7.9 [6.5-9.7]) (Figure 1). There were seven outbreaks at Hospital A and four at Hospital B. Outbreaks at both hospitals consisted of mostly patient cases (Hospital A: 95%, Hospital B: 82%). The odds ratio of outbreak for every unit increase in viral copies (log-transformed) was 21.0 [5.6-79]. The cross-validated area under the receiver operating curve for SARS-CoV-2 viral copies for predicting a contemporaneous outbreak (Figure 2) was 0.86 [95%CI 0.82 – 0.9]. Figure 1. [Figure: see text] Distribution of SARS-CoV-2 copies (plus one) values from PCR testing of floor swabs, stratified by hospital and outbreak status at time of sampling. Jittered points show the copies plus one values for each individual swab; boxplots show the median, IQR, and range of these values by site (indicated by colors), in outbreak and non-outbreak periods (indicated on y-axis). Figure 2. [Figure: see text] Cross-validation receiver operating characteristic (ROC) curves (with mean ROC in blue) for predicting contemporaneous outbreaks from SARS-CoV-2 viral copies. CONCLUSION: Detection of SARS-CoV-2 on floors in HCW-only areas is associated with COVID-19 outbreaks in those hospital wards. Despite swabbing exclusively in HCW-only areas, outbreaks were driven by patient cases at both hospitals. These results support the potential role for built environment sampling to support hospital COVID-19 outbreak identification and may fill gaps in traditional clinical surveillance methods. DISCLOSURES: Evgueni Doukhanine, MSc, DNA Genotek: DNA Genotek provided sampling swabs in-kind for this study in an unrestricted fashion. Michael Fralick, MD, ProofDx: Advisor/Consultant
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spelling pubmed-106786642023-11-27 2303. Detection of COVID-19 Outbreaks in Hospitals Using Built Environment Testing for SARS-CoV-2 Castellani, Lucas MacFadden, Derek Moggridge, Jason Feenstra, Bryan Wiebe, Makenna Abey, Sawith Doukhanine, Evgueni Fralick, Michael Hinz, Aaron Hug, Laura Thampi, Nisha Wong, Alex Kassen, Rees Nott, Caroline Open Forum Infect Dis Abstract BACKGROUND: Environmental testing for SARS-CoV-2 including assessment of wastewater and the built environment is a useful tool for population-level surveillance for COVID-19. Detection of SARS-CoV-2 on the floor of healthcare facilities has been strongly associated with cases of COVID-19 (1,2). By introducing routine floor-swabbing in hospitals, we may be able to predict outbreaks earlier allowing for additional control measures. METHODS: We implemented floor swabbing surveillance for SARS-CoV-2 to aid the identification of COVID-19 cases and outbreaks in hospitals. Swabs were taken weekly at eight hospital in-patient wards in healthcare worker-only (HCW) areas at two hospitals in Ontario, Canada, for a 39-week period (July 2022 to March 2023). HCW cases and outbreaks were managed as per usual processes at the facilities. A logistic regression model with ward-level random intercepts was developed using weekly viral copies (VC) to predict a contemporaneous outbreak in the same ward in the same week. Grouped 5-fold cross-validation was used to evaluate model outbreak discrimination. RESULTS: SARS-CoV-2 RNA was detected on 537 of 760 collected swabs (71%). Hospital A had more frequent detection and higher levels of SARS-CoV-2 (swab positivity = 90% [95% CI: 85%-93%], mean VC = 23, [19-29]) than Hospital B (swab positivity = 60% [55%-64%], mean VC = 7.9 [6.5-9.7]) (Figure 1). There were seven outbreaks at Hospital A and four at Hospital B. Outbreaks at both hospitals consisted of mostly patient cases (Hospital A: 95%, Hospital B: 82%). The odds ratio of outbreak for every unit increase in viral copies (log-transformed) was 21.0 [5.6-79]. The cross-validated area under the receiver operating curve for SARS-CoV-2 viral copies for predicting a contemporaneous outbreak (Figure 2) was 0.86 [95%CI 0.82 – 0.9]. Figure 1. [Figure: see text] Distribution of SARS-CoV-2 copies (plus one) values from PCR testing of floor swabs, stratified by hospital and outbreak status at time of sampling. Jittered points show the copies plus one values for each individual swab; boxplots show the median, IQR, and range of these values by site (indicated by colors), in outbreak and non-outbreak periods (indicated on y-axis). Figure 2. [Figure: see text] Cross-validation receiver operating characteristic (ROC) curves (with mean ROC in blue) for predicting contemporaneous outbreaks from SARS-CoV-2 viral copies. CONCLUSION: Detection of SARS-CoV-2 on floors in HCW-only areas is associated with COVID-19 outbreaks in those hospital wards. Despite swabbing exclusively in HCW-only areas, outbreaks were driven by patient cases at both hospitals. These results support the potential role for built environment sampling to support hospital COVID-19 outbreak identification and may fill gaps in traditional clinical surveillance methods. DISCLOSURES: Evgueni Doukhanine, MSc, DNA Genotek: DNA Genotek provided sampling swabs in-kind for this study in an unrestricted fashion. Michael Fralick, MD, ProofDx: Advisor/Consultant Oxford University Press 2023-11-27 /pmc/articles/PMC10678664/ http://dx.doi.org/10.1093/ofid/ofad500.1925 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of Infectious Diseases Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstract
Castellani, Lucas
MacFadden, Derek
Moggridge, Jason
Feenstra, Bryan
Wiebe, Makenna
Abey, Sawith
Doukhanine, Evgueni
Fralick, Michael
Hinz, Aaron
Hug, Laura
Thampi, Nisha
Wong, Alex
Kassen, Rees
Nott, Caroline
2303. Detection of COVID-19 Outbreaks in Hospitals Using Built Environment Testing for SARS-CoV-2
title 2303. Detection of COVID-19 Outbreaks in Hospitals Using Built Environment Testing for SARS-CoV-2
title_full 2303. Detection of COVID-19 Outbreaks in Hospitals Using Built Environment Testing for SARS-CoV-2
title_fullStr 2303. Detection of COVID-19 Outbreaks in Hospitals Using Built Environment Testing for SARS-CoV-2
title_full_unstemmed 2303. Detection of COVID-19 Outbreaks in Hospitals Using Built Environment Testing for SARS-CoV-2
title_short 2303. Detection of COVID-19 Outbreaks in Hospitals Using Built Environment Testing for SARS-CoV-2
title_sort 2303. detection of covid-19 outbreaks in hospitals using built environment testing for sars-cov-2
topic Abstract
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10678664/
http://dx.doi.org/10.1093/ofid/ofad500.1925
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