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Risk of myocardial infarction and stroke following microbiologically confirmed urinary tract infection: a self-controlled case series study using linked electronic health data
BMJ Open, Volume: 15, Issue: 6, Start page: e097754
Swansea University Authors:
Victoria Best, Fatemeh Torabi , Ashley Akbari
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DOI (Published version): 10.1136/bmjopen-2024-097754
Abstract
Objectives The inflammatory response from acute infection may trigger cardiovascular events. We aimed to estimate associations between microbiologically confirmed urinary tract infections (UTIs) and first acute myocardial infarction (MI) and stroke.Design We used a self-controlled case series, with...
| Published in: | BMJ Open |
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| ISSN: | 2044-6055 2044-6055 |
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BMJ
2025
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa69900 |
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2025-07-06T16:01:41Z |
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2025-08-12T06:02:28Z |
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<?xml version="1.0"?><rfc1807><datestamp>2025-08-11T14:42:32.8479621</datestamp><bib-version>v2</bib-version><id>69900</id><entry>2025-07-06</entry><title>Risk of myocardial infarction and stroke following microbiologically confirmed urinary tract infection: a self-controlled case series study using linked electronic health data</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>2025-07-06</date><deptcode>MEDS</deptcode><abstract>Objectives The inflammatory response from acute infection may trigger cardiovascular events. We aimed to estimate associations between microbiologically confirmed urinary tract infections (UTIs) and first acute myocardial infarction (MI) and stroke.Design We used a self-controlled case series, with risk periods 1–7, 8–14, 15–28 and 29–90 days after UTI. Included individuals experienced the outcome and exposure of interest and acted as their own controls.Setting We used individually linked general practice, hospital admission and microbiology data for the population of Wales held by the Secure Anonymised Information Linkage databank.Participants Included individuals were Welsh residents aged over 30 years with a record of a hospital admission for MI or stroke (outcomes) and evidence of a microbiologically confirmed UTI (exposure) during the study period of 1 January 2010 to 31 December 2020.Main outcome measures The primary outcome was acute MI or stroke identified using the International Classification of Disease V.10 codes from inpatient diagnoses recorded in the Patient Episode Database for Wales. We used Poisson regression to estimate incidence rate ratios (IRRs) and 95% CIs for MI and stroke during predefined risk periods, compared with baseline periods.Results During the study period, 51 660 individuals had a hospital admission for MI, of whom 2320 (4.5%) had 3900 microbiologically confirmed UTIs, and 58 150 had a hospital admission for stroke, of whom 2840 (4.9%) had 4600 microbiologically confirmed UTIs. There were 120 MIs during risk periods and 2190 during baseline periods, with an increased risk of MI for 1–7 days following UTI (IRR 2.49, 95% CI (1.65 to 3.77)). There were 200 strokes during risk periods and 2640 during baseline periods, with an increased risk of stroke for 1–7 days following UTI (IRR 2.34, 95% CI (1.61 to 3.40)).Conclusions UTI may be a trigger for MI or stroke. Further work is needed to understand mechanisms and test interventions to reduce the risk of cardiovascular events among people with UTIs in primary care.</abstract><type>Journal Article</type><journal>BMJ Open</journal><volume>15</volume><journalNumber>6</journalNumber><paginationStart>e097754</paginationStart><paginationEnd/><publisher>BMJ</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>2044-6055</issnPrint><issnElectronic>2044-6055</issnElectronic><keywords/><publishedDay>30</publishedDay><publishedMonth>6</publishedMonth><publishedYear>2025</publishedYear><publishedDate>2025-06-30</publishedDate><doi>10.1136/bmjopen-2024-097754</doi><url/><notes/><college>COLLEGE NANME</college><department>Medical School</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>MEDS</DepartmentCode><institution>Swansea University</institution><apcterm>Another institution paid the OA fee</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 and Cancer Research UK. Population Data Science, Swansea University is supported by ADR Wales (grant ES/S007393/1). PRIME Centre Wales is funded by Health and Care Research Wales.</funders><projectreference/><lastEdited>2025-08-11T14:42:32.8479621</lastEdited><Created>2025-07-06T16:27:07.2561564</Created><path><level id="1">Faculty of Medicine, Health and Life Sciences</level><level id="2">Swansea University Medical School - Health Data Science</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>Rebecca</firstname><surname>Cannings-John</surname><orcid>0000-0001-5235-6517</orcid><order>3</order></author><author><firstname>David</firstname><surname>Gillespie</surname><orcid>0000-0002-6934-2928</orcid><order>4</order></author><author><firstname>Kathryn</firstname><surname>Hughes</surname><order>5</order></author><author><firstname>Fiona V</firstname><surname>Lugg-Widger</surname><orcid>0000-0003-0029-9703</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>69900__34937__3ceba76d0efc4b4c9e346a1fbc59e1a9.pdf</filename><originalFilename>69900.VoR.pdf</originalFilename><uploaded>2025-08-11T14:39:32.1503349</uploaded><type>Output</type><contentLength>1790785</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>© Author(s) (or their employer(s)) 2025. 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2025-08-11T14:42:32.8479621 v2 69900 2025-07-06 Risk of myocardial infarction and stroke following microbiologically confirmed urinary tract infection: a self-controlled case series study using linked electronic health data 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 2025-07-06 MEDS Objectives The inflammatory response from acute infection may trigger cardiovascular events. We aimed to estimate associations between microbiologically confirmed urinary tract infections (UTIs) and first acute myocardial infarction (MI) and stroke.Design We used a self-controlled case series, with risk periods 1–7, 8–14, 15–28 and 29–90 days after UTI. Included individuals experienced the outcome and exposure of interest and acted as their own controls.Setting We used individually linked general practice, hospital admission and microbiology data for the population of Wales held by the Secure Anonymised Information Linkage databank.Participants Included individuals were Welsh residents aged over 30 years with a record of a hospital admission for MI or stroke (outcomes) and evidence of a microbiologically confirmed UTI (exposure) during the study period of 1 January 2010 to 31 December 2020.Main outcome measures The primary outcome was acute MI or stroke identified using the International Classification of Disease V.10 codes from inpatient diagnoses recorded in the Patient Episode Database for Wales. We used Poisson regression to estimate incidence rate ratios (IRRs) and 95% CIs for MI and stroke during predefined risk periods, compared with baseline periods.Results During the study period, 51 660 individuals had a hospital admission for MI, of whom 2320 (4.5%) had 3900 microbiologically confirmed UTIs, and 58 150 had a hospital admission for stroke, of whom 2840 (4.9%) had 4600 microbiologically confirmed UTIs. There were 120 MIs during risk periods and 2190 during baseline periods, with an increased risk of MI for 1–7 days following UTI (IRR 2.49, 95% CI (1.65 to 3.77)). There were 200 strokes during risk periods and 2640 during baseline periods, with an increased risk of stroke for 1–7 days following UTI (IRR 2.34, 95% CI (1.61 to 3.40)).Conclusions UTI may be a trigger for MI or stroke. Further work is needed to understand mechanisms and test interventions to reduce the risk of cardiovascular events among people with UTIs in primary care. Journal Article BMJ Open 15 6 e097754 BMJ 2044-6055 2044-6055 30 6 2025 2025-06-30 10.1136/bmjopen-2024-097754 COLLEGE NANME Medical School COLLEGE CODE MEDS Swansea University Another institution paid the OA fee 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 and Cancer Research UK. Population Data Science, Swansea University is supported by ADR Wales (grant ES/S007393/1). PRIME Centre Wales is funded by Health and Care Research Wales. 2025-08-11T14:42:32.8479621 2025-07-06T16:27:07.2561564 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Health Data Science Nicola F Reeve 0000-0001-9602-6675 1 Victoria Best 2 Rebecca Cannings-John 0000-0001-5235-6517 3 David Gillespie 0000-0002-6934-2928 4 Kathryn Hughes 5 Fiona V Lugg-Widger 0000-0003-0029-9703 6 Fatemeh Torabi 0000-0002-5853-4625 7 Mandy Wootton 8 Ashley Akbari 0000-0003-0814-0801 9 Haroon Ahmed 10 69900__34937__3ceba76d0efc4b4c9e346a1fbc59e1a9.pdf 69900.VoR.pdf 2025-08-11T14:39:32.1503349 Output 1790785 application/pdf Version of Record true © Author(s) (or their employer(s)) 2025. 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 |
Risk of myocardial infarction and stroke following microbiologically confirmed urinary tract infection: a self-controlled case series study using linked electronic health data |
| spellingShingle |
Risk of myocardial infarction and stroke following microbiologically confirmed urinary tract infection: a self-controlled case series study using linked electronic health data Victoria Best Fatemeh Torabi Ashley Akbari |
| title_short |
Risk of myocardial infarction and stroke following microbiologically confirmed urinary tract infection: a self-controlled case series study using linked electronic health data |
| title_full |
Risk of myocardial infarction and stroke following microbiologically confirmed urinary tract infection: a self-controlled case series study using linked electronic health data |
| title_fullStr |
Risk of myocardial infarction and stroke following microbiologically confirmed urinary tract infection: a self-controlled case series study using linked electronic health data |
| title_full_unstemmed |
Risk of myocardial infarction and stroke following microbiologically confirmed urinary tract infection: a self-controlled case series study using linked electronic health data |
| title_sort |
Risk of myocardial infarction and stroke following microbiologically confirmed urinary tract infection: a self-controlled case series study using linked electronic health data |
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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 Rebecca Cannings-John David Gillespie Kathryn Hughes Fiona V Lugg-Widger Fatemeh Torabi Mandy Wootton Ashley Akbari Haroon Ahmed |
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BMJ Open |
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2025 |
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2044-6055 2044-6055 |
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10.1136/bmjopen-2024-097754 |
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BMJ |
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Faculty of Medicine, Health and Life Sciences |
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Objectives The inflammatory response from acute infection may trigger cardiovascular events. We aimed to estimate associations between microbiologically confirmed urinary tract infections (UTIs) and first acute myocardial infarction (MI) and stroke.Design We used a self-controlled case series, with risk periods 1–7, 8–14, 15–28 and 29–90 days after UTI. Included individuals experienced the outcome and exposure of interest and acted as their own controls.Setting We used individually linked general practice, hospital admission and microbiology data for the population of Wales held by the Secure Anonymised Information Linkage databank.Participants Included individuals were Welsh residents aged over 30 years with a record of a hospital admission for MI or stroke (outcomes) and evidence of a microbiologically confirmed UTI (exposure) during the study period of 1 January 2010 to 31 December 2020.Main outcome measures The primary outcome was acute MI or stroke identified using the International Classification of Disease V.10 codes from inpatient diagnoses recorded in the Patient Episode Database for Wales. We used Poisson regression to estimate incidence rate ratios (IRRs) and 95% CIs for MI and stroke during predefined risk periods, compared with baseline periods.Results During the study period, 51 660 individuals had a hospital admission for MI, of whom 2320 (4.5%) had 3900 microbiologically confirmed UTIs, and 58 150 had a hospital admission for stroke, of whom 2840 (4.9%) had 4600 microbiologically confirmed UTIs. There were 120 MIs during risk periods and 2190 during baseline periods, with an increased risk of MI for 1–7 days following UTI (IRR 2.49, 95% CI (1.65 to 3.77)). There were 200 strokes during risk periods and 2640 during baseline periods, with an increased risk of stroke for 1–7 days following UTI (IRR 2.34, 95% CI (1.61 to 3.40)).Conclusions UTI may be a trigger for MI or stroke. Further work is needed to understand mechanisms and test interventions to reduce the risk of cardiovascular events among people with UTIs in primary care. |
| published_date |
2025-06-30T05:31:01Z |
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1856986846207148032 |
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11.096027 |

