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Allopurinol adherence among patients with gout: an Italian general practice database study
S Mantarro1, A Capogrosso-Sansone1, M Tuccori2
1Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
Patient adherence to allopurinol significantly reduces hyperuricaemia risk in gout patients. Improving physician-patient communication is key to enhancing adherence and treatment effectiveness.
Area of Science:
- Rheumatology
- Pharmacology
- Public Health
Background:
- Allopurinol is a cornerstone for long-term gout flare prevention.
- Patient adherence to allopurinol therapy is crucial for managing hyperuricaemia (serum uric acid levels > 6 mg/dl).
- Predictors of non-adherence require identification to optimize treatment outcomes.
Purpose of the Study:
- To assess the impact of patient adherence to allopurinol on hyperuricaemia.
- To identify factors associated with non-adherence to allopurinol therapy in gout patients.
Main Methods:
- Utilized the Italian Health Search-CSD Longitudinal Patient Database (2002-2011).
- Included outpatients (≥18 years) with gout prescribed allopurinol.
- Defined adherence as ≥80% proportion of days covered; analyzed serum uric acid levels within three time-windows (30-89, 90-149, 150-365 days).
- Employed logistic regression to analyze adherence, hyperuricaemia, and non-adherence predictors.
Main Results:
- Out of 3727 patients, initial adherence was 45.9%, declining over time.
- Hyperuricaemia prevalence was significantly lower in adherent patients across all time windows (e.g., 32.6% vs. 66.4% at 150-365 days).
- Adherence strongly correlated with reduced hyperuricaemia risk (ORs ranging from 0.49 to 0.23).
- Hypertension and a history of gout flares were associated with significantly better adherence.
Conclusions:
- Monitoring patient adherence to allopurinol is essential for effective gout management.
- Enhanced physician-patient communication is vital for improving allopurinol adherence.
- Targeted interventions may be needed for patients with identified non-adherence predictors.
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