SARS-CoV-2 burden on the floor was associated with COVID-19 cases and outbreaks in two acute care hospitals: a prospective cohort study.


Journal

Infection control and hospital epidemiology
ISSN: 1559-6834
Titre abrégé: Infect Control Hosp Epidemiol
Pays: United States
ID NLM: 8804099

Informations de publication

Date de publication:
20 Sep 2024
Historique:
medline: 20 9 2024
pubmed: 20 9 2024
entrez: 20 9 2024
Statut: aheadofprint

Résumé

Recent work demonstrated that detection of SARS-CoV-2 on the floor of long-term care facilities is associated with impending COVID-19 outbreaks. It is unknown if similar results will be observed in hospitals. Floor swabs were prospectively collected weekly from healthcare worker-only areas (eg, staff locker rooms) at two hospitals in Ontario, Canada for 39 weeks. Floor swabs were processed for SARS-CoV-2 using quantitative reverse-transcriptase polymerase chain reaction. Results were reported as percentage of positive floor swabs and viral copy number. Grouped fivefold cross-validation was used to evaluate model outbreak discrimination. SARS-CoV-2 RNA was detected on 537 of 760 floor swabs (71%). At Hospital A, overall positivity was 90% (95% CI: 85%-93%; N = 280); at Hospital B, overall positivity was 60% (95% CI: 55%-64%; N = 480). There were four COVID-19 outbreaks at Hospital A and seven at Hospital B during the study period. The outbreaks consisted of primarily patient cases (ie, 140 patient cases and 4 staff cases). For every 10-fold increase in viral copies, there was a 22-fold higher odds of a COVID-19 outbreak (OR = 22.0, 95% CI 7.3, 91.8). The cross-validated area under the receiver operating curve for SARS-CoV-2 viral copies for predicting a contemporaneous outbreak was 0.86 (95% CI 0.82-0.90). Viral burden of SARS-CoV-2 on floors, even in healthcare worker-only areas, was strongly associated with COVID-19 outbreaks in those hospital wards. Built environment sampling may support hospital COVID-19 outbreak identification, fill gaps in traditional surveillance, and guide infection prevention and control measures.

Sections du résumé

BACKGROUND BACKGROUND
Recent work demonstrated that detection of SARS-CoV-2 on the floor of long-term care facilities is associated with impending COVID-19 outbreaks. It is unknown if similar results will be observed in hospitals.
METHODS METHODS
Floor swabs were prospectively collected weekly from healthcare worker-only areas (eg, staff locker rooms) at two hospitals in Ontario, Canada for 39 weeks. Floor swabs were processed for SARS-CoV-2 using quantitative reverse-transcriptase polymerase chain reaction. Results were reported as percentage of positive floor swabs and viral copy number. Grouped fivefold cross-validation was used to evaluate model outbreak discrimination.
RESULTS RESULTS
SARS-CoV-2 RNA was detected on 537 of 760 floor swabs (71%). At Hospital A, overall positivity was 90% (95% CI: 85%-93%; N = 280); at Hospital B, overall positivity was 60% (95% CI: 55%-64%; N = 480). There were four COVID-19 outbreaks at Hospital A and seven at Hospital B during the study period. The outbreaks consisted of primarily patient cases (ie, 140 patient cases and 4 staff cases). For every 10-fold increase in viral copies, there was a 22-fold higher odds of a COVID-19 outbreak (OR = 22.0, 95% CI 7.3, 91.8). The cross-validated area under the receiver operating curve for SARS-CoV-2 viral copies for predicting a contemporaneous outbreak was 0.86 (95% CI 0.82-0.90).
CONCLUSION CONCLUSIONS
Viral burden of SARS-CoV-2 on floors, even in healthcare worker-only areas, was strongly associated with COVID-19 outbreaks in those hospital wards. Built environment sampling may support hospital COVID-19 outbreak identification, fill gaps in traditional surveillance, and guide infection prevention and control measures.

Identifiants

pubmed: 39301606
pii: S0899823X24001211
doi: 10.1017/ice.2024.121
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-5

Auteurs

Michael Fralick (M)

Division of General Internal Medicine, Sinai Health System, Toronto, ON, Canada.
Department of Medicine, University of Toronto, Toronto, ON, Canada.
Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada.
Sault Area Hospital, Sault Ste. Marie, ON, Canada.

Jason A Moggridge (JA)

Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada.

Makenna Wiebe (M)

Sault Area Hospital, Sault Ste. Marie, ON, Canada.

Lucas Castellani (L)

Sault Area Hospital, Sault Ste. Marie, ON, Canada.

Allison McGeer (A)

Department of Microbiology, Sinai Health System, Toronto, ON, Canada.
Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada.

Bryan Feenstra (B)

The Ottawa Hospital, Ottawa, ON, Canada.

Aaron Hinz (A)

Department of Biology, University of Ottawa, Ottawa, ON, Canada.
Department of Biology, McGill University, Montreal, QC, Canada.

Alexandra M A Hicks (AMA)

Department of Biology, University of Ottawa, Ottawa, ON, Canada.
Department of Biology, Carleton University, Ottawa, ON, Canada.

Laura A Hug (LA)

Department of Biology, University of Waterloo, Waterloo, ON, Canada.

Alex Wong (A)

Department of Biology, Carleton University, Ottawa, ON, Canada.

Tamara Van Bakel (T)

Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada.

Sawith Abeygunawardena (S)

Division of General Internal Medicine, Sinai Health System, Toronto, ON, Canada.
Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada.

Tasha Burhunduli (T)

CHEO Research Institute, Ottawa, ON, Canada.

Hebah S Mejbel (HS)

Department of Biology, University of Ottawa, Ottawa, ON, Canada.

Rees Kassen (R)

Department of Biology, University of Ottawa, Ottawa, ON, Canada.
Department of Biology, McGill University, Montreal, QC, Canada.

Nisha Thampi (N)

CHEO Research Institute, Ottawa, ON, Canada.

Derek MacFadden (D)

The Ottawa Hospital Research Institute, Ottawa, ON, Canada.

Caroline Nott (C)

The Ottawa Hospital, Ottawa, ON, Canada.
The Ottawa Hospital Research Institute, Ottawa, ON, Canada.

Classifications MeSH