Abstract

Understanding the genetic and environmental risk factors for serious bacterial infections in ageing populations remains incomplete. Utilising the UK Biobank (UKB), a prospective cohort study of 500,000 adults aged 40–69 years at recruitment (2006–2010), can help address this. Partial implementation of such a system helped groups around the world make rapid progress understanding risk factors for SARS-CoV-2 infection and COVID-19, with insights appearing as early as May 2020. In principle, such approaches could also to be used for bacterial isolations. Here we report feasibility testing of linking an England-wide dataset of microbial reporting to UKB participants, to enable characterisation of microbial infections within the UKB Cohort. These records pertain mainly to bacterial isolations; SARS-CoV-2 isolations were not included. Microbiological infections occurring in patients in England, as recorded in the Public Health England second generation surveillance system (SGSS), were linked to UKB participants using pseudonymised identifiers. By January 2015, ascertainment of laboratory reports from UKB participants by SGSS was estimated at 98%. 4.5% of English UKB participants had a positive microbiological isolate in 2015. Half of UKB isolates came from 12 laboratories, and 70% from 21 laboratories. Incidence rate ratios for microbial isolation, which is indicative of serious infection, from the UKB cohort relative to the comparably aged general population ranged from 0.6 to 1, compatible with the previously described healthy participant bias in UKB. Data on microbial isolations can be linked to UKB participants from January 2015 onwards. This linked data would offer new opportunities for research into the role of bacterial agents on health and disease in middle to-old age.

Details

Title
Laboratory diagnosed microbial infection in English UK Biobank participants in comparison to the general population
Author
Hilton, Bridget 1 ; Wilson, Daniel J. 2 ; O’Connell, Anne-Marie 1 ; Ironmonger, Dean 1 ; Rudkin, Justine K. 2 ; Allen, Naomi 2 ; Oliver, Isabel 1 ; Wyllie, David H. 3 

 UK Health Security Agency, London, UK (GRID:grid.515304.6) (ISNI:0000 0005 0421 4601) 
 University of Oxford, Nuffield Department of Population Health, Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Oxford, UK (GRID:grid.4991.5) (ISNI:0000 0004 1936 8948) 
 UK Health Security Agency, London, UK (GRID:grid.515304.6) (ISNI:0000 0005 0421 4601); University of Oxford, Nuffield Department of Medicine, Oxford, UK (GRID:grid.4991.5) (ISNI:0000 0004 1936 8948) 
Pages
496
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2763170988
Copyright
© Crown 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.