THU0111 PHYSICIAN'S GLOBAL ASSESSMENT OF DISEASE ACTIVITY IN RHEUMATOID ARTHRITIS: WHAT DO WE REALLY MEAN?. (2nd June 2020)

• Record Type: Journal Article
• Authors: Saraiva, L.; Brites, L.; Cunha, A. R.; Assunção, H.; Prata, A. R.; Luis, M.; Costa, F.; Freitas, P.; Sousa, M.; Da Silva, J. A. P.; Duarte, C.
• Is Part Of: Annals of the rheumatic diseases. Volume 79(2020)Supplement 1
• Page Start: 270
• Page End: 270
• Publication Date: 2020-06-02
• Subjects: Rheumatism -- Periodicals; 616.723005
• DOI: 10.1136/annrheumdis-2020-eular.2597
• Languages: English
• ISSNs: 0003-4967

Abstract

Abstract : Background: Physician's global assessment of disease activity (PhGA) is included in some scores of disease activity and, demonstrably, plays a major role upon treatment decisions in rheumatoid arthritis (RA) [1, 2, 3]. Therefore, understanding the reasons underlying the physician´s assessment is crucial. Objectives: To understand the reasons underlying the physician´s assessment. Methods: Cross-sectional study, including consecutive RA patients followed in a Tertiary Rheumatology Department. Socio-demographic (age and gender) and clinical data were collected through a standardized protocol, including 28 tender (TJ28) and swollen (SJC28) joints count, C-Reactive Protein (CRP), Erythrocyte Sedimentation Rate (ESR), Disease activity Score (DAS28-4v-CRP and DAS28-4v-ESR), PhGA and Patient Global Assessment of disease Activity (PGA) through a Visual Analogic Scale (VAS) 0-100mm, Health Assessment Questionnaire (HAQ), European Quality of Life-5 Dimensions (EQ-5D) and Hospital Anxiety and Depression Scale (HADS). Correlation between PhGA and other continuous variables was evaluated through Pearson´s Correlation Coefficient and variables with p<0.05 in univariate analysis were included in multivariable linear regression (stepwise model). Results: 392 RA patients (80.6% female, 65.3±12.6 years) were included. PhGA was weakly correlated with CRP (r=0.23), TJC28 (r=0.35), PGA (r=0.26), HAQ (r=0.31) and EQ5D (r=-0.21). Moderate correlations were observed with SJC28 (r=0.45) and DAS-4V-CRP (r=0.48). In multivariable analysis, SJC28 (β=4.14, 95%CI:3.16-5.12), CRP (β=0.22; 95%CI: 0.02-0.03), HAQ (β=4.46, 95%CI:1.50-7.42) and PGA (β=0.08; 95%CI:0.00-0.16) remained as independent correlates of PhGA (R2=0.27, p<0, 05). Conclusion: In this study, PhGA was associated with SJC28, CRP, HAQ and PGA, suggesting that physicians adopt a comprehensive reading of the disease into account. However, a large proportion of the variance of PhGA remains unexplained. Given its driving role in treatment decisions, the need to standardize and better understand PhGA seems to deserve a closer attention. References: [1]Ward MM, et al. Art Car Res. 2017;69(8):1260-5. [2]Desthieux C, et al. Art Car Res (Hoboken). 2016;68(12):1767-73. [3]Kaneko Y, et al. Mod Rheumatol. 2018;28(6):960-7. Disclosure of Interests: LILIANA SARAIVA: None declared, Luisa Brites: None declared, Ana Rita Cunha: None declared, Helena Assunção: None declared, Ana Rita Prata: None declared, Mariana Luis: None declared, Flavio Costa: None declared, Pedro Freitas: None declared, Marlene Sousa: None declared, José Antonio P. da Silva Grant/research support from: Pfizer, Abbvie, Consultant of: Pfizer, AbbVie, Roche, Lilly, Novartis, Catia Duarte: None declared