Evidence map›Paper›PMID 37170735›Full record

ArticleACR open rheumatology2023

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

Derrick Lopez, Girish Dwivedi, Johannes Nossent, David B Preen, Kevin Murray, Warren Raymond, Charles Inderjeeth, Helen I Keen

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACR open rheumatology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.0field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
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  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Derrick LopezThe University of Western Australia, Crawley, Western Australia, Australia.ORCID https://orcid.org/0000-0003-0677-0420
Girish DwivediThe University of Western Australia, Crawley, Fiona Stanley Hospital, Murdoch, and Harry Perkins Institute of Medical Research, Western Australia, Australia.ORCID https://orcid.org/0000-0003-0717-740X
Johannes NossentThe University of Western Australia, Crawley, and Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia.ORCID https://orcid.org/0000-0002-2833-7997
David B PreenThe University of Western Australia, Crawley, Western Australia, Australia.ORCID https://orcid.org/0000-0002-2982-2169
Kevin MurrayThe University of Western Australia, Crawley, Western Australia, Australia.ORCID https://orcid.org/0000-0002-8856-6046
Warren RaymondThe University of Western Australia, Crawley, Western Australia, Australia.ORCID https://orcid.org/0000-0002-2537-0070
Charles InderjeethThe University of Western Australia, Crawley, and Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia.ORCID https://orcid.org/0000-0003-0535-963X
Helen I KeenThe University of Western Australia, Crawley, and Fiona Stanley Hospital, Murdoch, Western Australia, Australia.ORCID https://orcid.org/0000-0002-8469-2424
The University of Western Australia · AU

Funding

AOWA Unrestricted GrantArthritis AustraliaHDWA Merit Award
6 · The paper itself

Abstract

backgroundCardiovascular 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.

methodsWe 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).

resultsWe 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.

conclusionWe 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.

Identifiers

PMID37170735
PMCPMC10267806
OpenAlexW4376223807

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.