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ABSTRACT: Objectives
To determine the proportion of people with gout who self-report triggers of acute attacks; identify the commonly reported triggers, and examine the disease and demographic features associated with self-reporting any trigger(s) of acute attacks of gout.Methods
Individuals with gout were asked to fill a questionnaire enquiring about triggers that precipitated their acute gout attacks. Binary logistic regression was used to compute odds ratio (OR) and 95% confidence intervals (CI) to examine the association between having ≥1 self-reported trigger of acute gout and disease and demographic risk factors and to adjust for covariates. All statistical analyses were performed using STATA.Results
550 participants returned completed questionnaires. 206 (37.5%) report
SUBMITTER: Abhishek A
PROVIDER: S-EPMC5638318 | biostudies-literature | 2017
REPOSITORIES: biostudies-literature