POS0636 INFLUENCE OF DEMOGRAPHIC AND DISEASE RELATED FACTORS ON EFFICACY OF INFLIXIMAB OR GOLIMUMAB IN RHEUMATOID ARTHRITIS. A META-ANALYSIS ON RANDOMIZED PLACEBO- CONTROLLED TRIALS
Authors: M. A. Sparfel, S. Derolez, J. Law-Wan, N. Azzopardi, P. Goupille, D. Mulleman, T. Bejan-Angoulvant
Journal: Annals of the Rheumatic Diseases (2021)

Background: TNF inhibitors have changed the course of rheumatoid arthritis (RA). Yet, detailed analysis on factors influencing clinical response to TNF inhibitors in RA is lacking. Objectives: Herein we aimed at studying the impact of demographics and disease-related factors on therapeutic response to golimumab and infliximab in RA. Methods: Randomized clinical trials (RCTs) that evaluated golimumab and infliximab versus placebo or conventional therapy were sought. We selected the following factors: age, sex, ethnicity, body mass index (BMI), smoking status, physical activity, disease duration, disease activity at baseline, presence of auto-antibodies. We studied the impact of these factors on clinical response using firstly aggregate data in a Mantel-Haenszel random effects model, and secondly individual data in a multivariate regression model. Results: Individual data from 8 RCTs, 2 on infliximab (n=1477) and 6 on golimumab (total =3041) were obtained. In the aggregate model analysis, none of the selected factors had a significant impact on clinical response. In the multivariate analysis, male sex and physical activity were significantly associated with a lower DAS28-CRP after 6 months of treatment (regression coefficients -0.264 (p&lt;0.001) and -0.193 (p=0.004) respectively), while a high initial DAS28-CRP was significantly associated with a higher DAS28-CRP (regression coefficient 0.579 (p&lt;0.001)). The baseline disease activity was the only significant interaction factor with the effect of the treatment. Conclusion: Male gender and practicing physical activity are associated with lower disease activity 6 months after golimumab or infliximab initiation. High baseline disease activity significantly influences negatively the effect of the treatment on disease activity score. Acknowledgements: This study, carried out under YODA Project 2018-2931, used data obtained from the Yale University Open Data Access Project, which has an agreement with JANSSEN RESEARCH &amp; DEVELOPMENT, L.L.C. The interpretation and reporting of research using this data are solely the responsibility of the authors and does not necessarily represent the official views of the Yale University Open Data Access Project or JANSSEN RESEARCH &amp; DEVELOPMENT, L.L.C. Disclosure of Interests: Marc-Antoine SPARFEL: None declared, Sophie Derolez: None declared, Johan Law-Wan: None declared, Nicolas Azzopardi: None declared, Philippe Goupille Speakers bureau: Abbvie, Biogaran, BMS, Hospira, Janssen, MSD, Pfizer, Sanofi-Genzyme, UCB, Consultant of: Abbvie, Biogaran, BMS, Hospira, Janssen, MSD, Pfizer, Sanofi-Genzyme, UCB, Grant/research support from: Clinical trials sponsored by Abbvie, Roche, BMS, Boehringer, Lilly, Novartis, Pfizer, UCB, Janssen and MSD. Invitation to an international congresses by MSD, Roche, BMS and Abbvie, Denis Mulleman Speakers bureau: Pfizer and Novartis, Consultant of: Pfizer and Novartis, Grant/research support from: Invitation to an international congress by Janssen-Cilag, Theodora Bejan-Angoulvant: None declared