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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.
Afiliação
  • Lopez D; The University of Western Australia, Crawley, Western Australia, Australia.
  • Dwivedi G; The University of Western Australia, Crawley, Fiona Stanley Hospital, Murdoch, and Harry Perkins Institute of Medical Research, Western Australia, Australia.
  • Nossent J; The University of Western Australia, Crawley, and Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia.
  • Preen DB; The University of Western Australia, Crawley, Western Australia, Australia.
  • Murray K; The University of Western Australia, Crawley, Western Australia, Australia.
  • Raymond W; The University of Western Australia, Crawley, Western Australia, Australia.
  • Inderjeeth C; The University of Western Australia, Crawley, and Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia.
  • Keen HI; The University of Western Australia, Crawley, and Fiona Stanley Hospital, Murdoch, Western Australia, Australia.
ACR Open Rheumatol ; 5(6): 298-304, 2023 Jun.
Article em En | MEDLINE | ID: mdl-37170735
ABSTRACT

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.

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article