Objectives: To determine the frequency of autoimmune diseases (AID) in Rheumatoid Arthritis (RA) patients and to compare this frequency between patients with and without RA or other rheumatologic AID.
Methods: Multicenter, observational, analytical, retrospective study. Consecutive patients with diagnosis of RA (ACR/EULAR 2010) were included. Patients with initial diagnosis of primary ostearthritis (OA) were used as control group.
Results: A total of 1549 patients were included: 831 RA (84% women, mean age 55.2 [±13.6]) and 718 OA (82% women, mean age 67 ([± 11.1]). The frequency of AID in the RA group was 22% (n=183). RA patients showed higher frequency of rheumatologic AID (9.4 vs 3.3%, p< 0.001), and lower frequency of non-rheumatologic AID than OA patients (15.3 vs 20.5%, p= 0.007). The most prevalent rheumatic AID was Sjögren’s Syndrome, which was more fre-quent in the AR group (87.2 vs 29.2%, p<0.001). The frequency of rheumatologic AID in RA patients was higher in those with erosive RA (11 vs 6.8%, p=0.048).
Conclusion: The frequency of AID in RA patients was 22%. Rheumatologic AID were more frequent in RA patients, whereas non-rheumatologic AID prevailed in OA patients.
We have recently validated the Quality of Life-Rheumatoid Arthritis Scale (QOL-RA). We have found some limitations, that is why, with the author’s permission, we have changed two questions and developed a new Spanish version, QOL-RA II. Objective: to validate the QOL-RA II in an Argentinean cohort of patients with Rheumatoid Arthritis (RA). Material and methods: cross-sectional study. Patients ≥18 years old, with a diagnosis of RA according to ACR-EULAR 2010 criteria were included. Sociodemographic data, comorbidities, RA characteristics, disease activity current treatment were registered. Questionnaires were administered: EQ-5D-3L, QOL-RA, HAQ-A and PHQ-9. The QOL-RA II was re-administered in 20 patients to evaluate reproducibility. Statistical analysis: Student´s T, ANOVA and Chi2 tests. Spearman correlation. Cronbach´s alpha. Reproducibility using ICC. Multinomial logistic regression with completed factorial model. Multiple linear regression.
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