AB0320 FATIGUE PATTERNS IN RHEUMATOID ARTHRITIS PATIENTSWHO RECEIVE BIOLOGICAL AND TARGETED SYNTHETIC DISEASE-MODIFYING ANTIRHEUMATIC DRUGS. (June 2019)

• Record Type: Journal Article
• Authors: Nuñez, Dalifer Freites; Redondo, Marta; Font, Judit; García, Alfredo Madrid; Vadillo, Cristina; Abasolo, Lydia; León, Leticia
• Is Part Of: Annals of the rheumatic diseases. Volume 78(2019)Supplement 2
• Page Start: 1618
• Page End: 1619
• Publication Date: 2019-06
• Subjects: Rheumatism -- Periodicals; 616.723005
• DOI: 10.1136/annrheumdis-2019-eular.7608
• Languages: English
• ISSNs: 0003-4967

Abstract

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 Clínico 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 < 0.05 was accepted as statistically significant. 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 <0.001). Patients who reported good sleep quality had less physical fatigue, while those under Non Anti-TNF treatment perceived more physical and living fatigue. In addition, an association was observed between depression and cognitive fatigue, disease activity (DAS28-ESR) and living fatigue and between VAS-pain score and emotional fatigue. A positive RF was associated with less physical and living. 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