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Combined epidemiological and genomic analysis of nosocomial SARS-CoV-2 infection early in the pandemic and the role of unidentified cases in transmission
OBJECTIVES: To analyse nosocomial transmission in the early stages of the coronavirus 2019 (COVID-19) pandemic at a large multisite healthcare institution. Nosocomial incidence is linked with infection control interventions. METHODS: Viral genome sequence and epidemiological data were analysed for 5...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Published by Elsevier Ltd on behalf of European Society of Clinical Microbiology and Infectious Diseases.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8361005/ https://www.ncbi.nlm.nih.gov/pubmed/34400345 http://dx.doi.org/10.1016/j.cmi.2021.07.040 |
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author | Snell, Luke B. Fisher, Chloe L. Taj, Usman Stirrup, Oliver Merrick, Blair Alcolea-Medina, Adela Charalampous, Themoula Signell, Adrian W. Wilson, Harry D. Betancor, Gilberto Kia Ik, Mark Tan Cunningham, Emma Cliff, Penelope R. Pickering, Suzanne Galao, Rui Pedro Batra, Rahul Neil, Stuart J.D. Malim, Michael H. Doores, Katie J. Douthwaite, Sam T. Nebbia, Gaia Edgeworth, Jonathan D. Awan, Ali R. |
author_facet | Snell, Luke B. Fisher, Chloe L. Taj, Usman Stirrup, Oliver Merrick, Blair Alcolea-Medina, Adela Charalampous, Themoula Signell, Adrian W. Wilson, Harry D. Betancor, Gilberto Kia Ik, Mark Tan Cunningham, Emma Cliff, Penelope R. Pickering, Suzanne Galao, Rui Pedro Batra, Rahul Neil, Stuart J.D. Malim, Michael H. Doores, Katie J. Douthwaite, Sam T. Nebbia, Gaia Edgeworth, Jonathan D. Awan, Ali R. |
author_sort | Snell, Luke B. |
collection | PubMed |
description | OBJECTIVES: To analyse nosocomial transmission in the early stages of the coronavirus 2019 (COVID-19) pandemic at a large multisite healthcare institution. Nosocomial incidence is linked with infection control interventions. METHODS: Viral genome sequence and epidemiological data were analysed for 574 consecutive patients, including 86 nosocomial cases, with a positive PCR test for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) during the first 19 days of the pandemic. RESULTS: Forty-four putative transmission clusters were found through epidemiological analysis; these included 234 cases and all 86 nosocomial cases. SARS-CoV-2 genome sequences were obtained from 168/234 (72%) of these cases in epidemiological clusters, including 77/86 nosocomial cases (90%). Only 75/168 (45%) of epidemiologically linked, sequenced cases were not refuted by applying genomic data, creating 14 final clusters accounting for 59/77 sequenced nosocomial cases (77%). Viral haplotypes from these clusters were enriched 1–14x (median 4x) compared to the community. Three factors implicated unidentified cases in transmission: (a) community-onset or indeterminate cases were absent in 7/14 clusters (50%), (b) four clusters (29%) had additional evidence of cryptic transmission, and (c) in three clusters (21%) diagnosis of the earliest case was delayed, which may have facilitated transmission. Nosocomial cases decreased to low levels (0–2 per day) despite continuing high numbers of admissions of community-onset SARS-CoV-2 cases (40–50 per day) and before the impact of introducing universal face masks and banning hospital visitors. CONCLUSION: Genomics was necessary to accurately resolve transmission clusters. Our data support unidentified cases—such as healthcare workers or asymptomatic patients—as important vectors of transmission. Evidence is needed to ascertain whether routine screening increases case ascertainment and limits nosocomial transmission. |
format | Online Article Text |
id | pubmed-8361005 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Published by Elsevier Ltd on behalf of European Society of Clinical Microbiology and Infectious Diseases. |
record_format | MEDLINE/PubMed |
spelling | pubmed-83610052021-08-13 Combined epidemiological and genomic analysis of nosocomial SARS-CoV-2 infection early in the pandemic and the role of unidentified cases in transmission Snell, Luke B. Fisher, Chloe L. Taj, Usman Stirrup, Oliver Merrick, Blair Alcolea-Medina, Adela Charalampous, Themoula Signell, Adrian W. Wilson, Harry D. Betancor, Gilberto Kia Ik, Mark Tan Cunningham, Emma Cliff, Penelope R. Pickering, Suzanne Galao, Rui Pedro Batra, Rahul Neil, Stuart J.D. Malim, Michael H. Doores, Katie J. Douthwaite, Sam T. Nebbia, Gaia Edgeworth, Jonathan D. Awan, Ali R. Clin Microbiol Infect Original Article OBJECTIVES: To analyse nosocomial transmission in the early stages of the coronavirus 2019 (COVID-19) pandemic at a large multisite healthcare institution. Nosocomial incidence is linked with infection control interventions. METHODS: Viral genome sequence and epidemiological data were analysed for 574 consecutive patients, including 86 nosocomial cases, with a positive PCR test for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) during the first 19 days of the pandemic. RESULTS: Forty-four putative transmission clusters were found through epidemiological analysis; these included 234 cases and all 86 nosocomial cases. SARS-CoV-2 genome sequences were obtained from 168/234 (72%) of these cases in epidemiological clusters, including 77/86 nosocomial cases (90%). Only 75/168 (45%) of epidemiologically linked, sequenced cases were not refuted by applying genomic data, creating 14 final clusters accounting for 59/77 sequenced nosocomial cases (77%). Viral haplotypes from these clusters were enriched 1–14x (median 4x) compared to the community. Three factors implicated unidentified cases in transmission: (a) community-onset or indeterminate cases were absent in 7/14 clusters (50%), (b) four clusters (29%) had additional evidence of cryptic transmission, and (c) in three clusters (21%) diagnosis of the earliest case was delayed, which may have facilitated transmission. Nosocomial cases decreased to low levels (0–2 per day) despite continuing high numbers of admissions of community-onset SARS-CoV-2 cases (40–50 per day) and before the impact of introducing universal face masks and banning hospital visitors. CONCLUSION: Genomics was necessary to accurately resolve transmission clusters. Our data support unidentified cases—such as healthcare workers or asymptomatic patients—as important vectors of transmission. Evidence is needed to ascertain whether routine screening increases case ascertainment and limits nosocomial transmission. Published by Elsevier Ltd on behalf of European Society of Clinical Microbiology and Infectious Diseases. 2022-01 2021-08-13 /pmc/articles/PMC8361005/ /pubmed/34400345 http://dx.doi.org/10.1016/j.cmi.2021.07.040 Text en © 2021 Published by Elsevier Ltd on behalf of European Society of Clinical Microbiology and Infectious Diseases. 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 | Original Article Snell, Luke B. Fisher, Chloe L. Taj, Usman Stirrup, Oliver Merrick, Blair Alcolea-Medina, Adela Charalampous, Themoula Signell, Adrian W. Wilson, Harry D. Betancor, Gilberto Kia Ik, Mark Tan Cunningham, Emma Cliff, Penelope R. Pickering, Suzanne Galao, Rui Pedro Batra, Rahul Neil, Stuart J.D. Malim, Michael H. Doores, Katie J. Douthwaite, Sam T. Nebbia, Gaia Edgeworth, Jonathan D. Awan, Ali R. Combined epidemiological and genomic analysis of nosocomial SARS-CoV-2 infection early in the pandemic and the role of unidentified cases in transmission |
title | Combined epidemiological and genomic analysis of nosocomial SARS-CoV-2 infection early in the pandemic and the role of unidentified cases in transmission |
title_full | Combined epidemiological and genomic analysis of nosocomial SARS-CoV-2 infection early in the pandemic and the role of unidentified cases in transmission |
title_fullStr | Combined epidemiological and genomic analysis of nosocomial SARS-CoV-2 infection early in the pandemic and the role of unidentified cases in transmission |
title_full_unstemmed | Combined epidemiological and genomic analysis of nosocomial SARS-CoV-2 infection early in the pandemic and the role of unidentified cases in transmission |
title_short | Combined epidemiological and genomic analysis of nosocomial SARS-CoV-2 infection early in the pandemic and the role of unidentified cases in transmission |
title_sort | combined epidemiological and genomic analysis of nosocomial sars-cov-2 infection early in the pandemic and the role of unidentified cases in transmission |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8361005/ https://www.ncbi.nlm.nih.gov/pubmed/34400345 http://dx.doi.org/10.1016/j.cmi.2021.07.040 |
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