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Rapid implementation of SARS-CoV-2 sequencing to investigate cases of health-care associated COVID-19: a prospective genomic surveillance study

BACKGROUND: The burden and influence of health-care associated severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections is unknown. We aimed to examine the use of rapid SARS-CoV-2 sequencing combined with detailed epidemiological analysis to investigate health-care associated SARS-CoV...

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Autores principales: Meredith, Luke W, Hamilton, William L, Warne, Ben, Houldcroft, Charlotte J, Hosmillo, Myra, Jahun, Aminu S, Curran, Martin D, Parmar, Surendra, Caller, Laura G, Caddy, Sarah L, Khokhar, Fahad A, Yakovleva, Anna, Hall, Grant, Feltwell, Theresa, Forrest, Sally, Sridhar, Sushmita, Weekes, Michael P, Baker, Stephen, Brown, Nicholas, Moore, Elinor, Popay, Ashley, Roddick, Iain, Reacher, Mark, Gouliouris, Theodore, Peacock, Sharon J, Dougan, Gordon, Török, M Estée, Goodfellow, Ian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier Ltd. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806511/
https://www.ncbi.nlm.nih.gov/pubmed/32679081
http://dx.doi.org/10.1016/S1473-3099(20)30562-4
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author Meredith, Luke W
Hamilton, William L
Warne, Ben
Houldcroft, Charlotte J
Hosmillo, Myra
Jahun, Aminu S
Curran, Martin D
Parmar, Surendra
Caller, Laura G
Caddy, Sarah L
Khokhar, Fahad A
Yakovleva, Anna
Hall, Grant
Feltwell, Theresa
Forrest, Sally
Sridhar, Sushmita
Weekes, Michael P
Baker, Stephen
Brown, Nicholas
Moore, Elinor
Popay, Ashley
Roddick, Iain
Reacher, Mark
Gouliouris, Theodore
Peacock, Sharon J
Dougan, Gordon
Török, M Estée
Goodfellow, Ian
author_facet Meredith, Luke W
Hamilton, William L
Warne, Ben
Houldcroft, Charlotte J
Hosmillo, Myra
Jahun, Aminu S
Curran, Martin D
Parmar, Surendra
Caller, Laura G
Caddy, Sarah L
Khokhar, Fahad A
Yakovleva, Anna
Hall, Grant
Feltwell, Theresa
Forrest, Sally
Sridhar, Sushmita
Weekes, Michael P
Baker, Stephen
Brown, Nicholas
Moore, Elinor
Popay, Ashley
Roddick, Iain
Reacher, Mark
Gouliouris, Theodore
Peacock, Sharon J
Dougan, Gordon
Török, M Estée
Goodfellow, Ian
author_sort Meredith, Luke W
collection PubMed
description BACKGROUND: The burden and influence of health-care associated severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections is unknown. We aimed to examine the use of rapid SARS-CoV-2 sequencing combined with detailed epidemiological analysis to investigate health-care associated SARS-CoV-2 infections and inform infection control measures. METHODS: In this prospective surveillance study, we set up rapid SARS-CoV-2 nanopore sequencing from PCR-positive diagnostic samples collected from our hospital (Cambridge, UK) and a random selection from hospitals in the East of England, enabling sample-to-sequence in less than 24 h. We established a weekly review and reporting system with integration of genomic and epidemiological data to investigate suspected health-care associated COVID-19 cases. FINDINGS: Between March 13 and April 24, 2020, we collected clinical data and samples from 5613 patients with COVID-19 from across the East of England. We sequenced 1000 samples producing 747 high-quality genomes. We combined epidemiological and genomic analysis of the 299 patients from our hospital and identified 35 clusters of identical viruses involving 159 patients. 92 (58%) of 159 patients had strong epidemiological links and 32 (20%) patients had plausible epidemiological links. These results were fed back to clinical, infection control, and hospital management teams, leading to infection-control interventions and informing patient safety reporting. INTERPRETATION: We established real-time genomic surveillance of SARS-CoV-2 in a UK hospital and showed the benefit of combined genomic and epidemiological analysis for the investigation of health-care associated COVID-19. This approach enabled us to detect cryptic transmission events and identify opportunities to target infection-control interventions to further reduce health-care associated infections. Our findings have important implications for national public health policy as they enable rapid tracking and investigation of infections in hospital and community settings. FUNDING: COVID-19 Genomics UK (supported by UK Research and Innovation, the National Institute of Health Research, the Wellcome Sanger Institute), the Wellcome Trust, the Academy of Medical Sciences and the Health Foundation, and the National Institute for Health Research Cambridge Biomedical Research Centre.
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spelling pubmed-78065112021-01-22 Rapid implementation of SARS-CoV-2 sequencing to investigate cases of health-care associated COVID-19: a prospective genomic surveillance study Meredith, Luke W Hamilton, William L Warne, Ben Houldcroft, Charlotte J Hosmillo, Myra Jahun, Aminu S Curran, Martin D Parmar, Surendra Caller, Laura G Caddy, Sarah L Khokhar, Fahad A Yakovleva, Anna Hall, Grant Feltwell, Theresa Forrest, Sally Sridhar, Sushmita Weekes, Michael P Baker, Stephen Brown, Nicholas Moore, Elinor Popay, Ashley Roddick, Iain Reacher, Mark Gouliouris, Theodore Peacock, Sharon J Dougan, Gordon Török, M Estée Goodfellow, Ian Lancet Infect Dis Articles BACKGROUND: The burden and influence of health-care associated severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections is unknown. We aimed to examine the use of rapid SARS-CoV-2 sequencing combined with detailed epidemiological analysis to investigate health-care associated SARS-CoV-2 infections and inform infection control measures. METHODS: In this prospective surveillance study, we set up rapid SARS-CoV-2 nanopore sequencing from PCR-positive diagnostic samples collected from our hospital (Cambridge, UK) and a random selection from hospitals in the East of England, enabling sample-to-sequence in less than 24 h. We established a weekly review and reporting system with integration of genomic and epidemiological data to investigate suspected health-care associated COVID-19 cases. FINDINGS: Between March 13 and April 24, 2020, we collected clinical data and samples from 5613 patients with COVID-19 from across the East of England. We sequenced 1000 samples producing 747 high-quality genomes. We combined epidemiological and genomic analysis of the 299 patients from our hospital and identified 35 clusters of identical viruses involving 159 patients. 92 (58%) of 159 patients had strong epidemiological links and 32 (20%) patients had plausible epidemiological links. These results were fed back to clinical, infection control, and hospital management teams, leading to infection-control interventions and informing patient safety reporting. INTERPRETATION: We established real-time genomic surveillance of SARS-CoV-2 in a UK hospital and showed the benefit of combined genomic and epidemiological analysis for the investigation of health-care associated COVID-19. This approach enabled us to detect cryptic transmission events and identify opportunities to target infection-control interventions to further reduce health-care associated infections. Our findings have important implications for national public health policy as they enable rapid tracking and investigation of infections in hospital and community settings. FUNDING: COVID-19 Genomics UK (supported by UK Research and Innovation, the National Institute of Health Research, the Wellcome Sanger Institute), the Wellcome Trust, the Academy of Medical Sciences and the Health Foundation, and the National Institute for Health Research Cambridge Biomedical Research Centre. The Authors. Published by Elsevier Ltd. 2020-11 2020-07-14 /pmc/articles/PMC7806511/ /pubmed/32679081 http://dx.doi.org/10.1016/S1473-3099(20)30562-4 Text en © 2020 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license 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 Articles
Meredith, Luke W
Hamilton, William L
Warne, Ben
Houldcroft, Charlotte J
Hosmillo, Myra
Jahun, Aminu S
Curran, Martin D
Parmar, Surendra
Caller, Laura G
Caddy, Sarah L
Khokhar, Fahad A
Yakovleva, Anna
Hall, Grant
Feltwell, Theresa
Forrest, Sally
Sridhar, Sushmita
Weekes, Michael P
Baker, Stephen
Brown, Nicholas
Moore, Elinor
Popay, Ashley
Roddick, Iain
Reacher, Mark
Gouliouris, Theodore
Peacock, Sharon J
Dougan, Gordon
Török, M Estée
Goodfellow, Ian
Rapid implementation of SARS-CoV-2 sequencing to investigate cases of health-care associated COVID-19: a prospective genomic surveillance study
title Rapid implementation of SARS-CoV-2 sequencing to investigate cases of health-care associated COVID-19: a prospective genomic surveillance study
title_full Rapid implementation of SARS-CoV-2 sequencing to investigate cases of health-care associated COVID-19: a prospective genomic surveillance study
title_fullStr Rapid implementation of SARS-CoV-2 sequencing to investigate cases of health-care associated COVID-19: a prospective genomic surveillance study
title_full_unstemmed Rapid implementation of SARS-CoV-2 sequencing to investigate cases of health-care associated COVID-19: a prospective genomic surveillance study
title_short Rapid implementation of SARS-CoV-2 sequencing to investigate cases of health-care associated COVID-19: a prospective genomic surveillance study
title_sort rapid implementation of sars-cov-2 sequencing to investigate cases of health-care associated covid-19: a prospective genomic surveillance study
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806511/
https://www.ncbi.nlm.nih.gov/pubmed/32679081
http://dx.doi.org/10.1016/S1473-3099(20)30562-4
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