No Cover Image

Journal article 436 views 31 downloads

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

Nicola F Reeve Orcid Logo, Victoria Best, David Gillespie Orcid Logo, Kathryn Hughes, Fiona V Lugg-Widger Orcid Logo, Rebecca Cannings-John Orcid Logo, Fatemeh Torabi Orcid Logo, Mandy Wootton, Ashley Akbari Orcid Logo, Haroon Ahmed

BMJ Open, Volume: 12, Issue: 9, Start page: e064586

Swansea University Authors: Victoria Best, Fatemeh Torabi Orcid Logo, Ashley Akbari Orcid Logo

  • 61377_VoR.pdf

    PDF | Version of Record

    This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license

    Download (490.34KB)

Check full text

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...

Full description

Published in: BMJ Open
ISSN: 2044-6055 2044-6055
Published: BMJ 2022
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa61377
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2022-10-11T09:02:12Z
last_indexed 2023-01-13T19:22:07Z
id cronfa61377
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2022-10-11T10:07:40.3618731</datestamp><bib-version>v2</bib-version><id>61377</id><entry>2022-09-28</entry><title>Myocardial infarction and stroke subsequent to urinary tract infection (MISSOURI): protocol for a self-controlled case series using linked electronic health records</title><swanseaauthors><author><sid>0c82f7076d0fc5c916ecbcc472a6a9ae</sid><firstname>Victoria</firstname><surname>Best</surname><name>Victoria Best</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>f569591e1bfb0e405b8091f99fec45d3</sid><ORCID>0000-0002-5853-4625</ORCID><firstname>Fatemeh</firstname><surname>Torabi</surname><name>Fatemeh Torabi</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>aa1b025ec0243f708bb5eb0a93d6fb52</sid><ORCID>0000-0003-0814-0801</ORCID><firstname>Ashley</firstname><surname>Akbari</surname><name>Ashley Akbari</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2022-09-28</date><deptcode>HDAT</deptcode><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&#x2013;2020. Individuals will need to be aged 30&#x2013;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 &#x2018;baseline&#x2019; 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.</abstract><type>Journal Article</type><journal>BMJ Open</journal><volume>12</volume><journalNumber>9</journalNumber><paginationStart>e064586</paginationStart><paginationEnd/><publisher>BMJ</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>2044-6055</issnPrint><issnElectronic>2044-6055</issnElectronic><keywords/><publishedDay>22</publishedDay><publishedMonth>9</publishedMonth><publishedYear>2022</publishedYear><publishedDate>2022-09-22</publishedDate><doi>10.1136/bmjopen-2022-064586</doi><url/><notes/><college>COLLEGE NANME</college><department>Health Data Science</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>HDAT</DepartmentCode><institution>Swansea University</institution><apcterm/><funders>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.</funders><projectreference/><lastEdited>2022-10-11T10:07:40.3618731</lastEdited><Created>2022-09-28T17:25:37.0585647</Created><path><level id="1">Faculty of Medicine, Health and Life Sciences</level><level id="2">Swansea University Medical School - Medicine</level></path><authors><author><firstname>Nicola F</firstname><surname>Reeve</surname><orcid>0000-0001-9602-6675</orcid><order>1</order></author><author><firstname>Victoria</firstname><surname>Best</surname><order>2</order></author><author><firstname>David</firstname><surname>Gillespie</surname><orcid>0000-0002-6934-2928</orcid><order>3</order></author><author><firstname>Kathryn</firstname><surname>Hughes</surname><order>4</order></author><author><firstname>Fiona V</firstname><surname>Lugg-Widger</surname><orcid>0000-0003-0029-9703</orcid><order>5</order></author><author><firstname>Rebecca</firstname><surname>Cannings-John</surname><orcid>0000-0001-5235-6517</orcid><order>6</order></author><author><firstname>Fatemeh</firstname><surname>Torabi</surname><orcid>0000-0002-5853-4625</orcid><order>7</order></author><author><firstname>Mandy</firstname><surname>Wootton</surname><order>8</order></author><author><firstname>Ashley</firstname><surname>Akbari</surname><orcid>0000-0003-0814-0801</orcid><order>9</order></author><author><firstname>Haroon</firstname><surname>Ahmed</surname><order>10</order></author></authors><documents><document><filename>61377__25397__58edb57a617442449689cf389acb104d.pdf</filename><originalFilename>61377_VoR.pdf</originalFilename><uploaded>2022-10-11T10:05:33.4249195</uploaded><type>Output</type><contentLength>502104</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>https://creativecommons.org/licenses/by/4.0/</licence></document></documents><OutputDurs/></rfc1807>
spelling 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 HDAT 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 Health Data Science COLLEGE CODE HDAT 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
author_id_str_mv 0c82f7076d0fc5c916ecbcc472a6a9ae
f569591e1bfb0e405b8091f99fec45d3
aa1b025ec0243f708bb5eb0a93d6fb52
author_id_fullname_str_mv 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
format Journal article
container_title BMJ Open
container_volume 12
container_issue 9
container_start_page e064586
publishDate 2022
institution Swansea University
issn 2044-6055
2044-6055
doi_str_mv 10.1136/bmjopen-2022-064586
publisher BMJ
college_str Faculty of Medicine, Health and Life Sciences
hierarchytype
hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str Swansea University Medical School - Medicine{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Medicine
document_store_str 1
active_str 0
description 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.
published_date 2022-09-22T04:20:11Z
_version_ 1763754337200242688
score 11.021648

Similar Items