Clinical features and risk factors for gout attacks during anti-tuberculosis treatment: A case-control study in South Korea
Ha YJ, Chung SW, Lee JH, Kang EH, Lee YJ, Song YW
International journal of rheumatic diseases · 2019-09
Abstract
Aim This study aimed to investigate the clinical features and risk factors of gout attacks during anti-tuberculosis (TB) treatment in South Korea. Method We investigated the clinical characteristics of 49 patients who suffered from gout attacks while taking anti-TB medications. Among them, 25 TB patients having newly developed gout attacks without prior history of gout were set to the gout group. Seventy-five age- and sex-matched TB patients without gout attacks during anti-TB therapy were randomly selected as the control group. The demographics, clinical features, and laboratory findings between the two groups were compared to establish risk factors of gout attack during anti-TB treatment. Results The gout patients had a mean age of 67.7 ± 13.2 years and 39 patients (79.6%) were male. Approximately half of the patients experienced an attack within 2 months of treatment initiation. The attacks typically involved lower extremity joints (87.8%). The serum uric acid (SUA) levels were significantly elevated at 2 and 6 months after starting anti-TB medication compared with those at baseline. In the case-control study, the factors associated with gout attack were higher body mass index (BMI), higher pre-treatment SUA levels, dyslipidemia, and reduced renal function. In the multivariate model, higher BMI, chronic kidney disease (CKD), and pre-treatment hyperuricemia (SUA ≥ 6.8 mg/dL) were independent risk factors of gout attack while taking anti-TB medication. Conclusions Patients with high BMI, CKD, and pre-treatment hyperuricemia are at a higher risk of gout attack during TB treatment.
MeSH terms
- Humans
- Tuberculosis
- Gout
- Disease Progression
- Uric Acid
- Antitubercular Agents
- Incidence
- Prevalence
- Risk Factors
- Case-Control Studies
- Retrospective Studies
- Follow-Up Studies
- Time Factors
- Aged
- Female
- Male
- Republic of Korea
- Biomarkers