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POS0658 (2021)
GEOGRAPHIC VARIATION OF EFFICACY IN THE FILGOTINIB RHEUMATOID ARTHRITIS PROGRAM
M. H. Buch1, T. Matsubara2, B. Combe3, A. Pechonkina4, Y. Tan5, Z. Yin6, J. Hong6, R. Besuyen7, A. Gomez-Centeno8
1University of Manchester, Division of Musculoskeletal & Dermatological Sciences, Manchester, United Kingdom
2Matsubara Mayflower Hospital, Department of Orthopaedic Surgery, Kato, Japan
3University of Montpellier, Department of Rheumatology, Montpellier, France
4Gilead Sciences, Inc., Inflammation and Respiratory Therapeutic Area, Foster City, United States of America
5Gilead Sciences, Inc., Inflammation Therapeutic Area, Foster City, United States of America
6Gilead Sciences, Inc., Biostatistics, Foster City, United States of America
7Galapagos BV, Clinical Development, Leiden, Netherlands
8Hospital Universitari Parc Taulí, Department of Rheumatology, Barcelona, Spain

Background: The Janus kinase-1 preferential inhibitor filgotinib (FIL) improved signs and symptoms of rheumatoid arthritis (RA) across the FIL clinical program. 1–3


Objectives: To assess FIL efficacy across geographic regions.


Methods: Pooled data from patients (pts) meeting 2010 ACR/EULAR RA criteria randomised to once-daily FIL 200 mg (FIL200), FIL100 mg (FIL100), or placebo (PBO) with background conventional synthetic disease-modifying antirheumatic drugs in DARWIN 1 (P2; up to week [W]12) and FINCH 1–2 (P3; up to W24) studies were evaluated. Data were analysed by region: North America, South and Central America, Western Europe, Eastern Europe, Asia, South East (SE) Asia, and Other. W12 American College of Rheumatology 20% improvement (ACR20) and W24 Disease Activity Score in 28 joints (C-reactive protein) (DAS28[CRP]) <2.6 and ≤3.2 response rates were analysed by a logistic regression model. Change from baseline (CFB) in Health Assessment Questionnaire-Disability Index (HAQ-DI) at W12 was analysed by a mixed-effects model for repeated measures. Analyses were exploratory and not adjusted for multiplicity.


Results: Despite high PBO response rates in Eastern Europe and South and Central America, greater proportions of pts receiving FIL200 or FIL100 vs PBO achieved ACR20 at W12 ( P <0.05) in all regions, except Other (with lowest sample size, n = 69), where both FIL doses were numerically greater than PBO ( Table 1 ). At W12, least-squares mean CFB in HAQ-DI improved for pts receiving FIL200 or FIL100. vs PBO ( P <0.05) in all regions, except SE Asia, where improvement was numeric ( Table 1 ).

Proportion of pts achieving ACR20 and LSM change from baseline HAQ-DI at week 1

ACR20 HAQ-DI
FIL200 FIL100 FIL200 FIL100 FIL200 FIL100
North America 64.8 * 58.3 * 33.8 −0.63 * −0.58 * −0.34
n = 455 (56.7, 72.9) (50.3, 66.4) (26.0, 41.6) (−0.70, −0.56) (−0.65, −0.51) (−0.41, −0.27)
South and Central America 77.2 77.3 57.4 −0.77 * −0.67 * −0.43
n = 283 (68.1, 86.3) (65.8, 86.2) (46.9, 68.0) (−0.85, −0.68) (−0.75, −0.59) (−0.52, −0.35)
Western Europe 69.4 * 68.3 * 24.4 −0.69 * −0.61 * −0.28
n = 135 (55.5, 83.3) (52.8, 83.8) (10.8. 38.1) (−0.80, −0.58) (−0.73, −0.49) (−0.40, −0.17)
Eastern Europe 77.1 * 69.1 * 54.6 −0.62 * −0.51 * −0.34
n = 822 (71.9, 82.3) (63.5, 74.7) (48.5, 60.7) (−0.68, −0.56) (−0.57, −0.45) (−0.40, −0.28)
Asia 81.0 * 60.0 37.7 −0.83 * −0.61 −0.42
n = 236 (71.7, 90.3) (48.6, 71.4) (26.2, 49.1) (−0.92, −0.73) (−0.70, −0.52) (−0.52, −0.33)
South East Asia 70.2 71.1 39.5 −0.61 −0.57 −0.45
n = 135 (56.1, 84.4) (56.8, 85.5) (23.8, 55.3) (−0.73, −0.49) (−0.69, −0.45) (−0.58, −0.33)
Other 60.0 52.4 39.1 −0.56 −0.60 −0.33
n = 69 (38.8, 81.2) (28.6, 76.1) (17.0, 61.2) (−0.72, −41) (−0.76, −0.43) (−0.49, −0.17)
Overall 73.4 * 66.4 * 45.3 −0.71 * −0.61 * −0.40
N = 2135 (70.1, 76.8) (62.9, 70.0) (41.5, 49.0) (−0.76, −0.66) (−0.66, −0.56) (−0.45, −0.35)

Includes only patients initially randomised to the treatment groups in each study for the comparison of interest. ACR20 presented as percentage (95% CI); 95% CI was based on normal approximation method with a continuity correction; P values calculated from the logistic regression.HAQ-DI presented as LSM (95% CI); LSM, 95% CI, and P value calculated from a mixed-effects model for repeated measures.*P <0.001, †P <0.01, ‡P <0.05; not adjusted for multiplicity.

ACR20, American College of Rheumatology 20% improvement; CI, confidence interval; FIL, filgotinib; HAQ-DI, Health Assessment Questionnaire-Disability Index; LSM, least square mean; PBO, placebo.

At W24, DAS28(CRP) <2.6 and ≤3.2 response rates were higher for both doses of FIL vs PBO ( P <0.05) in all regions, with the exception of Other, where PBO was higher than FIL100 for DAS28(CRP) <2.6 ( Figure 1 ).


Conclusion: In exploratory analyses, ACR20, DAS28(CRP) <2.6 and ≤3.2 response rates and HAQ-DI scores varied between regions; however, no stable trend was shown in any particular region. Small pt numbers in some subgroups may confound statistical analysis.


REFERENCES:

[1]Genovese et al. JAMA . 2019;322:315–25.

[2]Westhovens et al. Ann Rheum Dis . 2021; online first.

[3]Combe et al. Ann Rheum Dis . 2021; online first.


Disclosure of Interests: Maya H Buch Speakers bureau: AbbVie; Eli Lilly and Company; Gilead Sciences, Inc.; Merck-Serono; Pfizer; Roche; Sandoz; Sanofi; and UCB, Consultant of: AbbVie; Eli Lilly and Company; Gilead Sciences, Inc.; Merck-Serono; Pfizer; Roche; Sandoz; Sanofi; and UCB., Grant/research support from: AbbVie; Eli Lilly and Company; Gilead Sciences, Inc.; Merck-Serono; Pfizer; Roche; Sandoz; Sanofi; and UCB., Tsukasa Matsubara Speakers bureau: Pfizer Japan, Nichi-Iko, Astellas, Meiji Seika, Bristol-Myers Squibb, AbbVie GK, Janssen, Chugai, Eisai, AYUMI, Bernard Combe Speakers bureau: BMS; Eli Lilly & Co.; Gilead Sciences, Inc.; MSD; Pfizer; Roche-Chugai; and UCB, Consultant of: AbbVie; Eli Lilly & Co.; Gilead Sciences, Inc.; Janssen; Pfizer; Roche-Chugai; and Sanofi, Grant/research support from: Novartis, Pfizer, and Roche-Chugai, Alena Pechonkina Shareholder of: Gilead Sciences, Inc., Employee of: Gilead Sciences, Inc., YingMeei Tan Shareholder of: Gilead Sciences, Inc., Employee of: Gilead Sciences, Inc., Zhaoyu Yin Shareholder of: Gilead Sciences, Inc., Employee of: Gilead Sciences, Inc., Jaehyung Hong Shareholder of: Gilead Sciences, Inc., Employee of: Gilead Sciences, Inc., Robin Besuyen Shareholder of: Galapagos, BV, Employee of: Galapagos, BV, Antonio Gomez-Centeno Speakers bureau: AbbVie, Bristol-Myers Squibb, Eli Lilly & Co., Gebro, Janssen, Menarini, Merck Sharp & Dohme, Pfizer, Roche, Rubio, Sanofi, and UCB, Consultant of: AbbVie, Biogen, Bristol-Myers Squibb, Celgene, Eli Lilly & Co., Gebro, Gilead Sciences, Inc., Hospira, Merck Sharp & Dohme, Pfizer, Roche, Rubio, Sandoz, Sanofi, Grant/research support from: Boehringer Ingelheim, Celltrion, Eli Lilly & Co., Galapagos NV, Gilead Sciences, Inc., Novartis, Pfizer, Roche, Sanofi, UCB, YL Biologics


Citation: Ann Rheum Dis, volume 80, supplement 1, year 2021, page 570
Session: Rheumatoid arthritis - non biologic treatment and small molecules (POSTERS only)