Cargando…

Risk of Major Adverse Cardiovascular Event Following Incident Hospitalization for Acute Gout: A Western Australian Population‐Level Linked Data Study

BACKGROUND: Cardiovascular disease is the most common cause of death in people with gout. Acute inflammation, which is a characteristic of gout, may have a mechanistic role in major adverse cardiovascular events (MACEs). We aimed to examine the relationship between admissions to a hospital with acut...

Descripción completa

Detalles Bibliográficos
Autores principales: Lopez, Derrick, Dwivedi, Girish, Nossent, Johannes, Preen, David B., Murray, Kevin, Raymond, Warren, Inderjeeth, Charles, Keen, Helen I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wiley Periodicals, Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10267806/
https://www.ncbi.nlm.nih.gov/pubmed/37170735
http://dx.doi.org/10.1002/acr2.11540
_version_ 1785059004337094656
author Lopez, Derrick
Dwivedi, Girish
Nossent, Johannes
Preen, David B.
Murray, Kevin
Raymond, Warren
Inderjeeth, Charles
Keen, Helen I.
author_facet Lopez, Derrick
Dwivedi, Girish
Nossent, Johannes
Preen, David B.
Murray, Kevin
Raymond, Warren
Inderjeeth, Charles
Keen, Helen I.
author_sort Lopez, Derrick
collection PubMed
description BACKGROUND: Cardiovascular disease is the most common cause of death in people with gout. Acute inflammation, which is a characteristic of gout, may have a mechanistic role in major adverse cardiovascular events (MACEs). We aimed to examine the relationship between admissions to a hospital with acute gout and MACEs in a large population‐based data set. METHODS: We extracted data from the Hospital Morbidity Data Collection and Death Registrations of the Western Australian Rheumatic Disease Epidemiology Registry. We identified patients admitted to hospital with incident acute gout and who had admissions or a death record because of MACEs. We compared the risk of MACEs during the postdischarge period (1‐30 days after acute gout admission) and control period (365 days prior to admission and 365 days after the postdischarge period) using a self‐controlled case‐series (SCCS) design, which is a within‐person design that controls for time‐invariant patient‐specific confounding. We performed conditional fixed‐effects Poisson regression to obtain rate ratios (RRs). RESULTS: We identified 941 patients (average age: 76.4 years; SD: 12.6; 66.7% male) with an incident acute gout admission and documented MACEs during the control and/or postdischarge periods. Of the 941 patients, 898 (95%) experienced MACEs during the combined control period (730‐day period) and 112 (12%) during the postdischarge period (30‐day period). The rates of MACEs during the total control and postdischarge periods were 0.84 and 1.45 events per person‐year, respectively. Regression analysis confirmed increased rate during the postdischarge period (RR: 1.67; 95% CI: 1.38‐2.03) compared with the control period. Sensitivity analyses indicated that our results were robust in relation to known limitations of the SCCS design. CONCLUSION: We report an increased risk of MACEs in the first 30 days after an incident hospital admission with acute gout, suggesting a temporal association between acute inflammation and subsequent MACEs in patients with gout.
format Online
Article
Text
id pubmed-10267806
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Wiley Periodicals, Inc.
record_format MEDLINE/PubMed
spelling pubmed-102678062023-06-15 Risk of Major Adverse Cardiovascular Event Following Incident Hospitalization for Acute Gout: A Western Australian Population‐Level Linked Data Study Lopez, Derrick Dwivedi, Girish Nossent, Johannes Preen, David B. Murray, Kevin Raymond, Warren Inderjeeth, Charles Keen, Helen I. ACR Open Rheumatol Original Article BACKGROUND: Cardiovascular disease is the most common cause of death in people with gout. Acute inflammation, which is a characteristic of gout, may have a mechanistic role in major adverse cardiovascular events (MACEs). We aimed to examine the relationship between admissions to a hospital with acute gout and MACEs in a large population‐based data set. METHODS: We extracted data from the Hospital Morbidity Data Collection and Death Registrations of the Western Australian Rheumatic Disease Epidemiology Registry. We identified patients admitted to hospital with incident acute gout and who had admissions or a death record because of MACEs. We compared the risk of MACEs during the postdischarge period (1‐30 days after acute gout admission) and control period (365 days prior to admission and 365 days after the postdischarge period) using a self‐controlled case‐series (SCCS) design, which is a within‐person design that controls for time‐invariant patient‐specific confounding. We performed conditional fixed‐effects Poisson regression to obtain rate ratios (RRs). RESULTS: We identified 941 patients (average age: 76.4 years; SD: 12.6; 66.7% male) with an incident acute gout admission and documented MACEs during the control and/or postdischarge periods. Of the 941 patients, 898 (95%) experienced MACEs during the combined control period (730‐day period) and 112 (12%) during the postdischarge period (30‐day period). The rates of MACEs during the total control and postdischarge periods were 0.84 and 1.45 events per person‐year, respectively. Regression analysis confirmed increased rate during the postdischarge period (RR: 1.67; 95% CI: 1.38‐2.03) compared with the control period. Sensitivity analyses indicated that our results were robust in relation to known limitations of the SCCS design. CONCLUSION: We report an increased risk of MACEs in the first 30 days after an incident hospital admission with acute gout, suggesting a temporal association between acute inflammation and subsequent MACEs in patients with gout. Wiley Periodicals, Inc. 2023-05-11 /pmc/articles/PMC10267806/ /pubmed/37170735 http://dx.doi.org/10.1002/acr2.11540 Text en © 2023 The Authors. ACR Open Rheumatology published by Wiley Periodicals LLC on behalf of American College of Rheumatology. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Article
Lopez, Derrick
Dwivedi, Girish
Nossent, Johannes
Preen, David B.
Murray, Kevin
Raymond, Warren
Inderjeeth, Charles
Keen, Helen I.
Risk of Major Adverse Cardiovascular Event Following Incident Hospitalization for Acute Gout: A Western Australian Population‐Level Linked Data Study
title Risk of Major Adverse Cardiovascular Event Following Incident Hospitalization for Acute Gout: A Western Australian Population‐Level Linked Data Study
title_full Risk of Major Adverse Cardiovascular Event Following Incident Hospitalization for Acute Gout: A Western Australian Population‐Level Linked Data Study
title_fullStr Risk of Major Adverse Cardiovascular Event Following Incident Hospitalization for Acute Gout: A Western Australian Population‐Level Linked Data Study
title_full_unstemmed Risk of Major Adverse Cardiovascular Event Following Incident Hospitalization for Acute Gout: A Western Australian Population‐Level Linked Data Study
title_short Risk of Major Adverse Cardiovascular Event Following Incident Hospitalization for Acute Gout: A Western Australian Population‐Level Linked Data Study
title_sort risk of major adverse cardiovascular event following incident hospitalization for acute gout: a western australian population‐level linked data study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10267806/
https://www.ncbi.nlm.nih.gov/pubmed/37170735
http://dx.doi.org/10.1002/acr2.11540
work_keys_str_mv AT lopezderrick riskofmajoradversecardiovasculareventfollowingincidenthospitalizationforacutegoutawesternaustralianpopulationlevellinkeddatastudy
AT dwivedigirish riskofmajoradversecardiovasculareventfollowingincidenthospitalizationforacutegoutawesternaustralianpopulationlevellinkeddatastudy
AT nossentjohannes riskofmajoradversecardiovasculareventfollowingincidenthospitalizationforacutegoutawesternaustralianpopulationlevellinkeddatastudy
AT preendavidb riskofmajoradversecardiovasculareventfollowingincidenthospitalizationforacutegoutawesternaustralianpopulationlevellinkeddatastudy
AT murraykevin riskofmajoradversecardiovasculareventfollowingincidenthospitalizationforacutegoutawesternaustralianpopulationlevellinkeddatastudy
AT raymondwarren riskofmajoradversecardiovasculareventfollowingincidenthospitalizationforacutegoutawesternaustralianpopulationlevellinkeddatastudy
AT inderjeethcharles riskofmajoradversecardiovasculareventfollowingincidenthospitalizationforacutegoutawesternaustralianpopulationlevellinkeddatastudy
AT keenheleni riskofmajoradversecardiovasculareventfollowingincidenthospitalizationforacutegoutawesternaustralianpopulationlevellinkeddatastudy