AB0320 FATIGUE PATTERNS IN RHEUMATOID ARTHRITIS PATIENTSWHO RECEIVE BIOLOGICAL AND TARGETED SYNTHETIC DISEASE-MODIFYING ANTIRHEUMATIC DRUGS

Abstract

Background Fatigue is one of the most frequent symptoms in patients with rheumatoid arthritis (RA), affecting more than 80% of them. The experience of fatigue is multidimensional. Objectives To identify the factors associated with fatigue on its different subscales (Physical, Living, Cognitive and Emotional). Methods Cross-sectional study. 60 patients were included, they were being followed up in the rheumatology outpatient clinic of Hospital Clinico San Carlos, Madrid, Spain. Data were collected between July 2018 and January 2019. All patients met the ACR/EULAR 2010 criteria and they were in treatment with Biological or Targeted Synthetic DMARD. Main variable: Fatigue was assessed by the Bristol Rheumatoid Arthritis Fatigue Multidimensional Questionnaire (BRAF-MDQ). Covariables: Demographic, clinical and treatment. Statistical analysis. A descriptive analysis was carried out for the different variables. To identify factors independently associated to BRAF-MDQ and its subscales, multivariable linear regression was applied. Results were expressed as coef with their corresponding 95% CI. A value of p Results A total of 60 patients, comprising of 53 females (88%) and 7 males (12%) with a mean age of 56.4±11.8 years and mean disease duration of 14.1±7.7 years were evaluated. RF was positive in 60% of patients. 65% were in active on work and 23% retired. Regarding comorbidities, 43% had dyslipidemia, 42% hypertension, 17% hypothyroidism and 15% depression. The DAS28-ESR and SDAI scores of the patients were 2.6±0.8, 8.5±5.9 respectively. The HAQ was 0,86 ± 7.7. The rest of the clinical, treatment characteristics, and the scores of the fatigue instruments are shown in Table 1. The factors affecting the BRAF-MDQ and its subscales was evaluated in multivariate analyzeTable 2. Our results shows a correlation between disability and the different dimensions (p Conclusion It is important to evaluate fatigue in a multidimensional perspective, each of the different subscales could be modulated by different factors. The results of our study indicated that disability predicts in all subscales of fatigue, however, other factors can configure different patterns of fatigue in RA patients, and identify them is key to the approach of this complex symptom. Disclosure of Interests None declared