Comorbidity clusters in people with gout: an observational cohort study with linked medical record review

Area of Science:

• Rheumatology
• Primary Care Medicine
• Epidemiology

Background:

• Gout is a common condition often associated with multiple comorbidities.
• Understanding comorbidity patterns in gout is crucial for effective management.
• Previous research has not fully elucidated distinct comorbidity clusters in UK primary care gout populations.

Purpose of the Study:

• To investigate the clustering of comorbid conditions in patients with gout within a UK primary care setting.
• To identify distinct subgroups of gout patients based on their comorbidity profiles.

Main Methods:

• A cross-sectional study utilized baseline data from a prospective observational cohort of adult gout patients in UK primary care.
• Factor analysis and hierarchical cluster analysis were employed to identify comorbidity clusters and patient subgroups.
• Comorbidity variables included obesity, hypertension, diabetes mellitus, hyperlipidaemia, coronary heart disease, heart failure, chronic kidney disease (CKD), and cancer.

Main Results:

• Four distinct comorbidity clusters (C1-C4) were identified among 1079 participants.
• Cluster C1 (18%) comprised older patients with frequent gout attacks and high CKD prevalence (97%).
• Cluster C2 (36%) had isolated gout with fewer comorbidities but higher alcohol consumption.
• Cluster C3 (27%) showed high prevalence of hypertension, diabetes, hyperlipidaemia, and/or CKD, with more frequent urate-lowering therapy.
• Cluster C4 (18%) consisted of patients with hypertension and a higher likelihood of obesity.

Conclusions:

• Four distinct comorbidity clusters exist in UK primary care gout patients.
• Patients with multiple comorbidities were more likely to receive allopurinol.
• Treatment strategies should be tailored based on identified patient clusters and their specific comorbidities.