OBJECTIVES: To determine the prevalence of metabolic syndrome (MetS) in patients with rheumatoid arthritis (RA) and controls from Northeastern Brazil and to verify its association with specific RA parameters and cardiovascular risk factors. METHODS: The prevalence of MetS was assessed cross-sectionally in 338 RA patients from a single center and 84 age and gender-matched controls from the local community. MetS was defined according to NCEP/ATPIII guidelines. Disease activity was assessed with CDAI, SDAI and DAS28 scores. Independent risk factors for MetS in RA patients were identified by multivariate logistic regression. RESULTS: The prevalence of MetS was higher in RA patients than in controls (51.3% vs. 21.8%; p < .001). RA patients had a higher frequency of hypertension and type-2 diabetes mellitus, greater waist circumference (WC), higher blood glucose levels and lower HDL levels. DAS28, CDAI and SDAI scores were higher and high disease activity was more frequent in MetS patients. The multivariate logistic regression identified BMI (OR = 1.12, 95% CI = 1.05-1.20; p < .001) and disease activity (OR = 1.23, 95% CI = 1.04-1.47; p = .016) as independent risk factors for MetS in patients with RA. CONCLUSION: RA in patients from Northeastern Brazil was found to be associated with increased WC, high prevalence of MetS (one of the highest in the world) and disease activity. Patients with MetS displayed a higher frequency of cardiovascular risk factors, indicating the need for better control of disease activity and modifiable risk factors for cardiovascular disease (CVD).
OBJECTIVES: To determine the prevalence of metabolic syndrome (MetS) in patients with rheumatoid arthritis (RA) and controls from Northeastern Brazil and to verify its association with specific RA parameters and cardiovascular risk factors. METHODS: The prevalence of MetS was assessed cross-sectionally in 338 RApatients from a single center and 84 age and gender-matched controls from the local community. MetS was defined according to NCEP/ATPIII guidelines. Disease activity was assessed with CDAI, SDAI and DAS28 scores. Independent risk factors for MetS in RApatients were identified by multivariate logistic regression. RESULTS: The prevalence of MetS was higher in RApatients than in controls (51.3% vs. 21.8%; p < .001). RApatients had a higher frequency of hypertension and type-2 diabetes mellitus, greater waist circumference (WC), higher blood glucose levels and lower HDL levels. DAS28, CDAI and SDAI scores were higher and high disease activity was more frequent in MetS patients. The multivariate logistic regression identified BMI (OR = 1.12, 95% CI = 1.05-1.20; p < .001) and disease activity (OR = 1.23, 95% CI = 1.04-1.47; p = .016) as independent risk factors for MetS in patients with RA. CONCLUSION:RA in patients from Northeastern Brazil was found to be associated with increased WC, high prevalence of MetS (one of the highest in the world) and disease activity. Patients with MetS displayed a higher frequency of cardiovascular risk factors, indicating the need for better control of disease activity and modifiable risk factors for cardiovascular disease (CVD).