Clustering Patients With Gout Based on Comorbidities and Biomarkers: A Cross-Sectional Study
Authors' conclusion
Oxidative stress and inflammatory marker levels may affect the development and clinical manifestations (ie, clinical phenotypes) of gout.
Study context
- Population
- Patients clinically diagnosed with gout, enrolled January 2018–December 2019
- Participants
- 24 / 25 / 39
- Exposure
- Clusters of patients with gout based on comorbidities and biomarkers
- C1n = 24
- C2n = 25
- C3n = 39
- Outcome
- Phenotype clusters and oxidative stress/inflammation markers
Methodological detailssingle-centre, hierarchical cluster analysis
- Single-centre
- Hierarchical cluster analysis
Main finding
As reported in the abstract
- Hierarchical cluster analysis identified 3 clusters
- Significant differences among C1, C2 and C3 in 3-nitrotyrosine, TNF, CRP, IL-1β, IL-6, PDGF-AA and PDGF-BB
- Reclustering on all markers and on the significantly differing markers identified similar clusters
Observational data: associations, not effects.
Original publication
Clustering Patients With Gout Based on Comorbidities and Biomarkers: A Cross-Sectional Study. J Rheumatol. Published 15 December 2022. doi:10.
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