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Myocardial infarction and stroke subsequent to urinary tract infection (MISSOURI): protocol for a self-controlled case series using linked electronic health records
BMJ Open, Volume: 12, Issue: 9, Start page: e064586
Swansea University Authors: Victoria Best, Fatemeh Torabi , Ashley Akbari
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DOI (Published version): 10.1136/bmjopen-2022-064586
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 urin...
Published in: | BMJ Open |
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ISSN: | 2044-6055 2044-6055 |
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2022
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URI: | https://cronfa.swan.ac.uk/Record/cronfa61377 |
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2022-10-11T10:07:40.3618731 v2 61377 2022-09-28 Myocardial infarction and stroke subsequent to urinary tract infection (MISSOURI): protocol for a self-controlled case series using linked electronic health records 0c82f7076d0fc5c916ecbcc472a6a9ae Victoria Best Victoria Best true false f569591e1bfb0e405b8091f99fec45d3 0000-0002-5853-4625 Fatemeh Torabi Fatemeh Torabi true false aa1b025ec0243f708bb5eb0a93d6fb52 0000-0003-0814-0801 Ashley Akbari Ashley Akbari true false 2022-09-28 MEDS 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. Journal Article BMJ Open 12 9 e064586 BMJ 2044-6055 2044-6055 22 9 2022 2022-09-22 10.1136/bmjopen-2022-064586 COLLEGE NANME Medical School COLLEGE CODE MEDS Swansea University This work was supported by The British Heart Foundation, grant number PG/20/10419. The Centre for Trials Research is funded by Health and Care Research Wales (grant number N/A) and Cancer Research UK (grant number N/A). Population Data Science, Swansea University is supported by Health Data Research UK (HDR-9006) and ADR Wales (grant ES/S007393/1). PRIME Centre Wales is funded by Health and Care Research Wales. 2022-10-11T10:07:40.3618731 2022-09-28T17:25:37.0585647 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Nicola F Reeve 0000-0001-9602-6675 1 Victoria Best 2 David Gillespie 0000-0002-6934-2928 3 Kathryn Hughes 4 Fiona V Lugg-Widger 0000-0003-0029-9703 5 Rebecca Cannings-John 0000-0001-5235-6517 6 Fatemeh Torabi 0000-0002-5853-4625 7 Mandy Wootton 8 Ashley Akbari 0000-0003-0814-0801 9 Haroon Ahmed 10 61377__25397__58edb57a617442449689cf389acb104d.pdf 61377_VoR.pdf 2022-10-11T10:05:33.4249195 Output 502104 application/pdf Version of Record true This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license true eng https://creativecommons.org/licenses/by/4.0/ |
title |
Myocardial infarction and stroke subsequent to urinary tract infection (MISSOURI): protocol for a self-controlled case series using linked electronic health records |
spellingShingle |
Myocardial infarction and stroke subsequent to urinary tract infection (MISSOURI): protocol for a self-controlled case series using linked electronic health records Victoria Best Fatemeh Torabi Ashley Akbari |
title_short |
Myocardial infarction and stroke subsequent to urinary tract infection (MISSOURI): protocol for a self-controlled case series using linked electronic health records |
title_full |
Myocardial infarction and stroke subsequent to urinary tract infection (MISSOURI): protocol for a self-controlled case series using linked electronic health records |
title_fullStr |
Myocardial infarction and stroke subsequent to urinary tract infection (MISSOURI): protocol for a self-controlled case series using linked electronic health records |
title_full_unstemmed |
Myocardial infarction and stroke subsequent to urinary tract infection (MISSOURI): protocol for a self-controlled case series using linked electronic health records |
title_sort |
Myocardial infarction and stroke subsequent to urinary tract infection (MISSOURI): protocol for a self-controlled case series using linked electronic health records |
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0c82f7076d0fc5c916ecbcc472a6a9ae f569591e1bfb0e405b8091f99fec45d3 aa1b025ec0243f708bb5eb0a93d6fb52 |
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0c82f7076d0fc5c916ecbcc472a6a9ae_***_Victoria Best f569591e1bfb0e405b8091f99fec45d3_***_Fatemeh Torabi aa1b025ec0243f708bb5eb0a93d6fb52_***_Ashley Akbari |
author |
Victoria Best Fatemeh Torabi Ashley Akbari |
author2 |
Nicola F Reeve Victoria Best David Gillespie Kathryn Hughes Fiona V Lugg-Widger Rebecca Cannings-John Fatemeh Torabi Mandy Wootton Ashley Akbari Haroon Ahmed |
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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. |
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2022-09-22T05:19:44Z |
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11.29607 |