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The aim of the study is to evaluate cardiovascular events during long-term follow-up in Rheumatoid Arthritis. The primary outcome "any cardiovascular event" will be evaluated using systematic audits of patient records, and will be associated to low levels of vitamin D at baseline, to investigate the hypothesis that low levels of vitamin D can be part of a prediction model for cardiovascular disease in Rheumatoid Arthritis.
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Cardiovascular morbidity and mortality is increased in patients with rheumatoid arthritis (RA), and among these patients, the prevalence of hypo-vitaminosis D is high. Low levels of vitamin D have been associated with elevated cardiovascular risk in healthy subjects. The objective of this study is to evaluate the risk of cardiovascular events in patients having low 25OHD-total levels at baseline compared to patients with sufficient levels, in an aggressively treated closed cohort of early-diagnosed RA patients.
The primary outcome will be the proportion of patients with any cardiovascular event, evaluated using systematic journal audits. Logistic regression models will be applied to test the hypothesis that there are more cardiovascular events in patients enrolled with a low level of vitamin D (< 50 nmol/l). Secondarily, Cox regression models, based on survival analysis, will be applied, to determine the extent to which independent variables (including different levels of vitamin D at baseline) predict not only whether a cardiovascular event occur, but also when it will occur.
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Inclusion Criteria: Fulfilling ACR1987 (American College of Rheumatology 1987 classification criteria for Rheumatoid Arthritis) criteria for RA, disease duration < 6 months, 2 or more swollen joints and age between 18 and 75 years -
Exclusion Criteria: Glucocorticoid treatment 4 weeks prior to inclusion, previous use of DMARDs, malignancy, diastolic blood pressure > 90 mm Hg, elevated serum creatinine, infections with parvovirus B19, Hepatitis B, C and HIV, and any condition contraindicating the study medication.
160 participants in 1 patient group
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Data sourced from clinicaltrials.gov
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