POS0308 TRAJECTORIES OF FATIGUE IN EARLY RA OVER 10 YEARS: RESULTS FROM THE ESPOIR COHORT
Authors: S. Rodriguez-Muguruza, B. Combe, F. Guillemin, A. Olive, O. Valero, R. Fontova Garrofe, S. Marsal, F. Bruno, C. Lukas
Journal: Annals of the Rheumatic Diseases (2021)

Background: Fatigue is one of the most prevalent symptom reported by persons with RA. RA-related fatigue is a complex concept with biological, psychological and social interactions. Objectives: In a cohort of early RA patients, to determine and characterize fatigue trajectories over 10 years of follow-up and identify predictors of trajectory membership. Methods: Patients fulfilling the 2010 ACR/EULAR criteria for RA included in the ESPOIR cohort. We used a cluster analysis to obtain fatigue (assessed by fatigue visual analogue scale) trajectories over the course of 10 years from enrolment. Chi-square tests or ANOVA were performed to evaluate differences of baseline variables between fatigue trajectories. Using a multinomial logistic regression we could identify predictors of trajectory membership. Results: We analysed 598 patients with mean disease duration at enrolment of 26.2 ± 40.9 days. Cluster analysis revealed 3 trajectories: high (18%), moderate (52%) and low fatigue (30%). Compared to patients with moderate or low fatigue trajectory, patients with high fatigue trajectory were predominantly women and reported significantly higher duration and intensity of morning stiffness, HAQ score, number of tender joints, levels of pain, number of awakenings due to arthritis, levels of physician and patient global assessment and more frequent sleep problems, and increased psychological distress. Female patients with pain, psychological distress and presence of sicca symptoms had higher risk of being in high trajectory group. Conclusion: These findings suggest that levels of fatigue are rather stable over time in each trajectory. Baseline clinical measures and baseline patient-reported measures of functional status better distinguished the three fatigue trajectories. We did not find differences between trajectories in baseline laboratory measures. Inflammatory activity was not a predictor of being in high trajectory fatigue group. References: [1]Pollard LC, Choy EH, Gonzalez J, Khoshaba B, Scott DL. Fatigue in rheumatoid arthritis reflects pain, not disease activity. Rheumatology (Oxford) 2006;45:885–9 [2]Repping-Wuts H, van Riel P, van Achterberg T. Fatigue in patients with rheumatoid arthritis: what is known and what is needed. Rheumatology (Oxford) 2009;48:207–9. [3]Pilgaard T, hagelund L, Stallknecht SE, jensen HH, Esbensen BA. Severity of fatigue in people with rheumatoid arthritis, psoritic artrhitis and spondyoarthritis- Results of cross-sectional study. Plos One. 2019;14:e0211831 [4]Feldthusen C, Grimby-Ekman A, Forsblad-d’Elia H, Jacobsson L, Mannerkorpi K. Explanatory factors and predictors of fatigue in persons with rheumatoid arthritis: a longitudinal study. J Rehabil Med 2016 28;48:469–76. [5]Madsen SG, Danneskiold-Samsøe B, Stockmarr A, Bartels EM. Correlations between fatigue and disease duration, disease activity, and pain in patients with rheumatoid arthritis: a systematic review. Scand J Rheumatol. 2016;45:255-61. [6]Olsen CL, Lie E, Kvien TK, Zangi HA. Predictors of fatigue in rheumatoid arthritis patients in remission or in a low disease activity state. Arthritis Care Res (Hoboken) 2016;68:1043–8. [7]Druce K, Jones GT, Macfarlane GJ, Verstappen SMM, Basu N. The longitudinal course of fatigue in rheumatoid arthritis: results from the Norfolk Arthritis Register. J Rheumatol 2015;42:2059–65. Disclosure of Interests: None declared