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Use of an ingredient-based analysis to investigate a national outbreak of Escherichia coli O157, United Kingdom, July 2016
Public Health England was alerted to a national outbreak of Shiga toxin-producing Escherichia coli O157 PT34 in July 2016. Early investigations suggested that the likely source was a salad item consumed outside of the home. A number of cases reported consuming meals at a staff canteen (Venue A) and...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
European Centre for Disease Prevention and Control (ECDC)
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6030876/ https://www.ncbi.nlm.nih.gov/pubmed/29970217 http://dx.doi.org/10.2807/1560-7917.ES.2018.23.26.1700627 |
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author | Gardiner, Daniel Gobin, Maya Verlander, Neville Q Oliver, Isabel Hawker, Jeremy |
author_facet | Gardiner, Daniel Gobin, Maya Verlander, Neville Q Oliver, Isabel Hawker, Jeremy |
author_sort | Gardiner, Daniel |
collection | PubMed |
description | Public Health England was alerted to a national outbreak of Shiga toxin-producing Escherichia coli O157 PT34 in July 2016. Early investigations suggested that the likely source was a salad item consumed outside of the home. A number of cases reported consuming meals at a staff canteen (Venue A) and a garden café (Venue B). Both venues shared a common salad supplier. An investigation was undertaken to measure associations between salad items and illness using an 'ingredient-based analysis'. A retrospective case–control study was conducted using an online questionnaire to collect information on menu items consumed at each venue. Chefs at both venues were interviewed to identify ingredients contained within each menu item. Both venues were pooled together for multivariable analysis measuring associations at the ingredient level. Among 203 responses, 24 cases were identified (13 confirmed, two probable and nine possible). Case onsets ranged between 7 and 25 June 2016. Multivariable analysis identified strong evidence that only baby mixed-leaf salad from the common supplier was a vehicle of infection (adjusted odds ratio = 13.1; 95% confidence interval: 1.6–106.5). Identifying the specific salad ingredient associated with illness was made possible by using an ingredient-based analysis. We recommend the increased use of ingredient-based analyses. |
format | Online Article Text |
id | pubmed-6030876 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | European Centre for Disease Prevention and Control (ECDC) |
record_format | MEDLINE/PubMed |
spelling | pubmed-60308762018-08-03 Use of an ingredient-based analysis to investigate a national outbreak of Escherichia coli O157, United Kingdom, July 2016 Gardiner, Daniel Gobin, Maya Verlander, Neville Q Oliver, Isabel Hawker, Jeremy Euro Surveill Surveillance and Outbreak Report Public Health England was alerted to a national outbreak of Shiga toxin-producing Escherichia coli O157 PT34 in July 2016. Early investigations suggested that the likely source was a salad item consumed outside of the home. A number of cases reported consuming meals at a staff canteen (Venue A) and a garden café (Venue B). Both venues shared a common salad supplier. An investigation was undertaken to measure associations between salad items and illness using an 'ingredient-based analysis'. A retrospective case–control study was conducted using an online questionnaire to collect information on menu items consumed at each venue. Chefs at both venues were interviewed to identify ingredients contained within each menu item. Both venues were pooled together for multivariable analysis measuring associations at the ingredient level. Among 203 responses, 24 cases were identified (13 confirmed, two probable and nine possible). Case onsets ranged between 7 and 25 June 2016. Multivariable analysis identified strong evidence that only baby mixed-leaf salad from the common supplier was a vehicle of infection (adjusted odds ratio = 13.1; 95% confidence interval: 1.6–106.5). Identifying the specific salad ingredient associated with illness was made possible by using an ingredient-based analysis. We recommend the increased use of ingredient-based analyses. European Centre for Disease Prevention and Control (ECDC) 2018-06-28 /pmc/articles/PMC6030876/ /pubmed/29970217 http://dx.doi.org/10.2807/1560-7917.ES.2018.23.26.1700627 Text en This article is copyright of The Authors, 2018. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0) Licence. You may share and adapt the material, but must give appropriate credit to the source, provide a link to the licence, and indicate if changes were made. |
spellingShingle | Surveillance and Outbreak Report Gardiner, Daniel Gobin, Maya Verlander, Neville Q Oliver, Isabel Hawker, Jeremy Use of an ingredient-based analysis to investigate a national outbreak of Escherichia coli O157, United Kingdom, July 2016 |
title | Use of an ingredient-based analysis to investigate a national outbreak of Escherichia coli O157, United Kingdom, July 2016 |
title_full | Use of an ingredient-based analysis to investigate a national outbreak of Escherichia coli O157, United Kingdom, July 2016 |
title_fullStr | Use of an ingredient-based analysis to investigate a national outbreak of Escherichia coli O157, United Kingdom, July 2016 |
title_full_unstemmed | Use of an ingredient-based analysis to investigate a national outbreak of Escherichia coli O157, United Kingdom, July 2016 |
title_short | Use of an ingredient-based analysis to investigate a national outbreak of Escherichia coli O157, United Kingdom, July 2016 |
title_sort | use of an ingredient-based analysis to investigate a national outbreak of escherichia coli o157, united kingdom, july 2016 |
topic | Surveillance and Outbreak Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6030876/ https://www.ncbi.nlm.nih.gov/pubmed/29970217 http://dx.doi.org/10.2807/1560-7917.ES.2018.23.26.1700627 |
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