Bardin T1, Bouée S2, Clerson P3, Chalès G4, Flipo RM5, Lioté F1, Perez V6, Poiraud T6, Schaeverbeke T7, Richette P1.
We interviewed 10,026 participants. All three models (2 logistic regression and CART models) converged to an estimated gout prevalence of 0.9%
To estimate adult gout prevalence in France.
We used a previously established phone questionnaire that allowed for classifying patients as gouty or non-gouty by 2 logistic regression models and 1 Classification and Regression Tree (CART) method, the sensitivity and specificity of which were all more than 80%. The full questionnaire was administered by phone to subjects who acknowledged present or past non-traumatic acute pain in a peripheral joint, the others being classified as non-gouty. A random sample of adults residing in France was derived from the national telephone (home and mobile) directory by the quota method and further redressed to match the French population. The target size for the interview survey conducted in March and June 2013 was 10,000 participants.
We interviewed 10,026 participants. All three models (2 logistic regression and CART models) converged to an estimated gout prevalence of 0.9%. This was lower than that estimated by self-reporting only (3.7%; 95% CI: 3.3-4.1). The prevalence was higher for males than females and increased with age but did not differ by area of France.
Gout prevalence in the adult population of France in 2013 was estimated at 0.9%. Studies using self-reporting only might overestimate the prevalence. This article is protected by copyright. All rights reserved.