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Lessons learned: use of WGS in real-time investigation of suspected intrahospital SARS-CoV-2 outbreaks
BACKGROUND: Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has been a continuing source of hospital-acquired infection and outbreaks. At Akershus University Hospital in Norway, traditional contact tracing has been combined with whole-genome sequencing (WGS) surveillance in real-time to...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier Ltd on behalf of The Healthcare Infection Society.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9617632/ https://www.ncbi.nlm.nih.gov/pubmed/36404573 http://dx.doi.org/10.1016/j.jhin.2022.10.003 |
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author | Berggreen, H. Løvestad, A.H. Helmersen, K. Jørgensen, S.B. Aamot, H.V. |
author_facet | Berggreen, H. Løvestad, A.H. Helmersen, K. Jørgensen, S.B. Aamot, H.V. |
author_sort | Berggreen, H. |
collection | PubMed |
description | BACKGROUND: Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has been a continuing source of hospital-acquired infection and outbreaks. At Akershus University Hospital in Norway, traditional contact tracing has been combined with whole-genome sequencing (WGS) surveillance in real-time to investigate potential hospital outbreaks. AIM: To describe the advantages and challenges encountered when using WGS as a real-time tool in hospital outbreak investigation and surveillance during the SARS-CoV-2 pandemic. METHODS: Routine contact tracing in the hospital was performed for all healthcare workers (HCWs) who tested positive for SARS-CoV-2. Viral RNA from all positive patient and HCW samples was sequenced in real-time using nanopore sequencing and the ARTIC Network protocol. Suspected outbreaks involving five or more individuals with viral sequences were described. FINDINGS: Nine outbreaks were suspected based on contact tracing, and one outbreak was suspected based on WGS results. Five outbreaks were confirmed; of these, two outbreaks were supported but could not be confirmed by WGS with high confidence, one outbreak was found to consist of two different lineages, and two outbreaks were refuted. CONCLUSIONS: WGS is a valuable tool in hospital outbreak investigations when combined with traditional contact tracing. Inclusion of WGS data improved outbreak demarcation, identified unknown transmission chains, and highlighted weaknesses in existing infection control measures. |
format | Online Article Text |
id | pubmed-9617632 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Author(s). Published by Elsevier Ltd on behalf of The Healthcare Infection Society. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96176322022-10-31 Lessons learned: use of WGS in real-time investigation of suspected intrahospital SARS-CoV-2 outbreaks Berggreen, H. Løvestad, A.H. Helmersen, K. Jørgensen, S.B. Aamot, H.V. J Hosp Infect Article BACKGROUND: Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has been a continuing source of hospital-acquired infection and outbreaks. At Akershus University Hospital in Norway, traditional contact tracing has been combined with whole-genome sequencing (WGS) surveillance in real-time to investigate potential hospital outbreaks. AIM: To describe the advantages and challenges encountered when using WGS as a real-time tool in hospital outbreak investigation and surveillance during the SARS-CoV-2 pandemic. METHODS: Routine contact tracing in the hospital was performed for all healthcare workers (HCWs) who tested positive for SARS-CoV-2. Viral RNA from all positive patient and HCW samples was sequenced in real-time using nanopore sequencing and the ARTIC Network protocol. Suspected outbreaks involving five or more individuals with viral sequences were described. FINDINGS: Nine outbreaks were suspected based on contact tracing, and one outbreak was suspected based on WGS results. Five outbreaks were confirmed; of these, two outbreaks were supported but could not be confirmed by WGS with high confidence, one outbreak was found to consist of two different lineages, and two outbreaks were refuted. CONCLUSIONS: WGS is a valuable tool in hospital outbreak investigations when combined with traditional contact tracing. Inclusion of WGS data improved outbreak demarcation, identified unknown transmission chains, and highlighted weaknesses in existing infection control measures. The Author(s). Published by Elsevier Ltd on behalf of The Healthcare Infection Society. 2023-01 2022-10-29 /pmc/articles/PMC9617632/ /pubmed/36404573 http://dx.doi.org/10.1016/j.jhin.2022.10.003 Text en © 2022 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Berggreen, H. Løvestad, A.H. Helmersen, K. Jørgensen, S.B. Aamot, H.V. Lessons learned: use of WGS in real-time investigation of suspected intrahospital SARS-CoV-2 outbreaks |
title | Lessons learned: use of WGS in real-time investigation of suspected intrahospital SARS-CoV-2 outbreaks |
title_full | Lessons learned: use of WGS in real-time investigation of suspected intrahospital SARS-CoV-2 outbreaks |
title_fullStr | Lessons learned: use of WGS in real-time investigation of suspected intrahospital SARS-CoV-2 outbreaks |
title_full_unstemmed | Lessons learned: use of WGS in real-time investigation of suspected intrahospital SARS-CoV-2 outbreaks |
title_short | Lessons learned: use of WGS in real-time investigation of suspected intrahospital SARS-CoV-2 outbreaks |
title_sort | lessons learned: use of wgs in real-time investigation of suspected intrahospital sars-cov-2 outbreaks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9617632/ https://www.ncbi.nlm.nih.gov/pubmed/36404573 http://dx.doi.org/10.1016/j.jhin.2022.10.003 |
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