Myocardial infarction and stroke subsequent to urinary tract infection (MISSOURI): protocol for a self-controlled case series using linked electronic health records

Reeve, Nicola F., Best, Victoria, Gillespie, David ORCID: https://orcid.org/0000-0002-6934-2928, Hughes, Kathryn ORCID: https://orcid.org/0000-0002-8099-066X, Lugg-Widger, Fiona V. ORCID: https://orcid.org/0000-0003-0029-9703, Cannings-John, Rebecca ORCID: https://orcid.org/0000-0001-5235-6517, Torabi, Fatemeh, Wootton, Mandy, Akbari, Ashley and Ahmed, Haroon ORCID: https://orcid.org/0000-0002-0634-8548 2022. Myocardial infarction and stroke subsequent to urinary tract infection (MISSOURI): protocol for a self-controlled case series using linked electronic health records. BMJ Open 12 , e064586. 10.1136/bmjopen-2022-064586

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Abstract

Introduction: There is increasing interest in the relationship between acute infections and acute cardiovascular events. Most previous research has focused on understanding whether the risk of acute cardiovascular events increases following a respiratory tract infection. The relationship between urinary tract infections (UTIs) and acute cardiovascular events is less well studied. Therefore, the aim of this study is to determine whether there is a causal relationship between UTI and acute myocardial infarction (MI) or stroke. Methods and analysis: We will undertake a self-controlled case series study using linked anonymised general practice, hospital admission and microbiology data held within the Secure Anonymised Information Linkage (SAIL) Databank. Self-controlled case series is a relatively novel study design where individuals act as their own controls, thereby inherently controlling for time-invariant confounders. Only individuals who experience an exposure and outcome of interest are included. We will identify individuals in the SAIL Databank who have a hospital admission record for acute MI or stroke during the study period of 2010–2020. Individuals will need to be aged 30–100 during the study period and be Welsh residents for inclusion. UTI will be identified using general practice, microbiology and hospital admissions data. We will calculate the incidence of MI and stroke in predefined risk periods following an UTI and in ‘baseline’ periods (without UTI exposure) and use conditional Poisson regression models to derive incidence rate ratios. Ethics and dissemination: Data access, research permissions and approvals have been obtained from the SAIL independent Information Governance Review Panel, project number 0972. Findings will be disseminated through conferences, blogs, social media threads and peer-reviewed journals. Results will be of interest internationally to primary and secondary care clinicians who manage UTIs and may inform future clinical trials of preventative therapy.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Medicine
Additional Information:	License information from Publisher: LICENSE 1: URL: https://creativecommons.org/licenses/by/4.0/, Start Date: 2022-09-22, Type: open-access
Publisher:	BMJ Publishing Group
Funders:	British Heart Foundation, Cancer Research UK
Date of First Compliant Deposit:	28 September 2022
Date of Acceptance:	7 September 2022
Last Modified:	07 Sep 2023 05:13
URI:	https://orca.cardiff.ac.uk/id/eprint/152936

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