4.7 Article

The epidemiology of Shiga toxin-producing Escherichia coli O26:H11 (clonal complex 29) in England, 2014-2021

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JOURNAL OF INFECTION
卷 86, 期 6, 页码 552-562

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W B SAUNDERS CO LTD
DOI: 10.1016/j.jinf.2023.04.006

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Clonal complex 29; Haemolytic uraemic syndrome; Public health; Epidemiology

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The study describes the genomic epidemiology of Shiga toxin-producing Escherichia coli (STEC) serotype O26:H11 belonging to clonal complex 29 (CC29) in England. The diagnoses of STEC O26:H11 have increased from 19 in 2014 to 144 in 2021. Most cases were female (57%) and belonged to the 0-5 age group (38%). Clinical symptoms included diarrhoea, blood-stained stool, and abdominal pain. Haemolytic Uraemic Syndrome (HUS) was diagnosed in 9% of the cases, and three children died. STEC O26:H11 poses a clinically significant, emerging threat to public health in England.
Objectives: We aimed to describe the genomic epidemiology of the foodborne gastrointestinal pathogen, Shiga toxin-producing Escherichia coli (STEC) serotype O26:H11 belonging to clonal complex 29 (CC29) in England. Methods: Between 01 January 2014 and 31 December 2021, 834 human isolates belonging to CC29 were sequenced at the UK Health Security Agency, and the genomic data was integrated with epidemiological data. Results: Diagnoses of STEC O26:H11 in England have increased each year from 19 in 2014 to 144 in 2021. Most isolates had the Shiga toxin subtype profiles stx1a (47%), stx1a,stx2a (n = 24%) or stx2a (n = 28%). Most cases were female (57%), and the highest proportion of cases belonged to the 0-5 age group (38%). Clinical symptoms included diarrhoea (93%), blood-stained stool (48%), and abdominal pain (74%). Haemolytic Uraemic Syndrome (HUS) was diagnosed in 40/459 (9%) cases and three children died. All isolates causing STEC-HUS had stx2a either alone (n = 33) or in combination with stx1a (n = 7). Conclusions: STEC O26:H11 are a clinically significant, emerging threat to public health in England. Determining the true incidence and prevalence is challenging due to inconsistent national surveillance strategies. Improved diagnostics and surveillance algorithms are required to monitor the true burden, detect outbreaks and to implement effective interventions. Crown Copyright (c) 2023 Published by Elsevier Ltd on behalf of The British Infection Association. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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