Gout Screening Identifies a Large Cardiovascular Population at Increased Risk of Mortality

J Clin Rheumatol. 2022 Dec 1;28(8):409-415. doi: 10.1097/RHU.0000000000001890. Epub 2022 Jul 30.

Abstract

Objective: Gout is prevalent in people with cardiovascular disease, although up to a third of the cases remain unregistered. We aimed to assess whether active gout screening in inpatients with cardiovascular events helps identify patients at higher risk of mortality after discharge.

Methods: This study included patients admitted for cardiovascular events. Gout was established by records review and clinical interview. After discharge, electronic medical records were reviewed for mortality and cause of death. The association between gout and subsequent mortality was tested using Cox regression models.

Results: Of 266 recruited patients, 17 were lost to follow-up, leaving a final sample of 249 patients (93.6%). Thirty-six cases (14.5%) were classified as having gout; 13 of these (36.1%) were identified through the interview. Mean follow-up was 19.9 (SD, 8.6) months. Gout significantly increased the risk of all-cause mortality in the overall sample (hazard ratio [HR], 2.01; 95% confidence interval [CI], 1.13-3.58) and in the subgroup with a prior diagnosis of gout (HR, 2.89; 95% CI, 1.54-5.41). The adjusted HR for all-cause mortality associated with gout was 1.86 (95% CI, 1.01-3.41). Patients with gout carried an increased risk of both cardiovascular and noncardiovascular deaths; age and chronic kidney disease were mortality predictors within the gout population.

Conclusion: Gout was an independent predictor of subsequent all-cause mortality in patients admitted for cardiovascular events. Active screening for gout allowed the detection of a larger population at high risk of mortality and could help tailor patient management to minimize the cardiovascular impact.

MeSH terms

  • Cardiovascular Diseases* / diagnosis
  • Cardiovascular Diseases* / epidemiology
  • Gout* / complications
  • Gout* / diagnosis
  • Gout* / epidemiology
  • Humans
  • Proportional Hazards Models
  • Renal Insufficiency, Chronic* / complications
  • Risk Factors