POS0920 BIMEKIZUMAB DEMONSTRATES COMPARABLE ONE-YEAR EFFICACY IN MALE AND FEMALE PATIENTS WITH AXIAL SPONDYLOARTHRITIS: RESULTS FROM TWO PHASE 3 STUDIES
Notice bibliographique
Résumé
Background: Bimekizumab (BKZ) is a monoclonal IgG1 antibody that selectively inhibits interleukin (IL)-17F in addition to IL-17A. BKZ has demonstrated sustained efficacy to Week 52 in patients with non-radiographic (nr-) and radiographic (r-)axial spondyloarthritis (axSpA) in the phase 3 studies BE MOBILE 1 and 2.[1,2] Studies have shown that male and female patients with axSpA can experience different disease manifestations, clinical burden and treatment efficacy. For example, female patients typically have delayed diagnosis and higher disease burden but less radiographic progression.[3] Objectives: To assess the efficacy of BKZ treatment to Week 52 in patients across the full disease spectrum of axSpA, focusing on potential sex-based differences in treatment response. Methods: BE MOBILE 1 (NCT03928704) and BE MOBILE 2 (NCT03928743) both comprised a 16-week double-blind period followed by a 36-week maintenance period. In both studies, patients were randomised to receive subcutaneous BKZ 160 mg every 4 weeks (Q4W) or placebo (PBO); from Week 16, all patients received BKZ 160 mg Q4W. We report efficacy outcomes from the BE MOBILE studies to Week 52, stratified by sex. Outcomes reported include ASAS40, ASDAS <2.1, BASDAI, Ankylosing Spondylitis Quality of Life Questionnaire (ASQoL) and objective signs of inflammation (OSI; MRI SPARCC SIJ, MRI Berlin spine and hs-CRP). Binary endpoints are presented using non-responder imputation and continuous outcomes are reported using multiple imputation; OSI measures are reported using observed case. To compare BKZ vs PBO efficacy (treatment effect) between male vs female patients at Week 16, adjusted relative odds ratios (rOR) and relative differences (RD) were calculated using logistic regression and ANCOVA, respectively. All rOR and RD analyses were adjusted for region, age, HLA-B27 status and, for the continuous endpoints, their baseline values. Additionally, in patients with nr-axSpA, analyses were adjusted for MRI/CRP classification and, in patients with r-axSpA, for prior TNF inhibitor exposure and hs-CRP. Since all analyses were post-hoc, no formal p values are provided. Results: 254 patients with nr-axSpA were randomized in BE MOBILE 1 and 332 patients with r-axSpA were randomized in BE MOBILE 2; of these, 220/254 (male: 124/138 [89.9%]; female: 96/116 [82.8%]) and 298/332 (male: 215/240 [89.6%]; female: 83/92 [90.2%]) completed to Week 52. Key baseline differences between males and females included longer mean symptom duration (years) in females ( nr-axSpA : 7.2 vs 11.1; r-axSpA : 12.9 vs 15.0) and lower HLA-B27 positivity (%) in females ( nr-axSpA : 84.8 vs 69.0; r-axSpA : 88.3 vs 78.3). Across BKZ and PBO-randomised patients, males had lower mean ASQoL scores vs females ( nr-axSpA: BKZ: 8.5 vs 10.8, PBO: 8.6 vs 10.2; r-axSpA: BKZ: 8.3 vs 11.1, PBO: 8.4 vs 9.0), and generally had higher OSI values at baseline. Across ASAS40, ASDAS <2.1 and BASDAI, there was a pattern of higher BKZ vs PBO treatment effect in males vs females at Week 16, which was reflected in the rORs and RDs at this timepoint (Figure 1). At Week 52, response rates were higher in males vs females with nr-axSpA but comparable in patients with r-axSpA. Overall, at Week 52 both males and females responded well in both trials, with >50% of BKZ-randomized patients achieving ASAS40 ( nr-axSpA : 64.4 vs 56.4; r-axSpA: 59.4 vs 55.7), and >40% achieving ASDAS <2.1 ( nr-axSpA: 72.0 vs 47.4; r-axSpA: 57.7 vs 55.8). BKZ-randomised males and females also showed good overall response in mean improvements in BASDAI scores at Week 52 ( nr-axSpA: −4.0 vs −3.6; r-axSpA: −3.6 vs −3.4; Figure 1). For ASQoL, both males and females demonstrated substantial improvements with BKZ treatment at Week 16 ( nr-axSpA : −5.5 vs −4.8; r-axSpA : −4.8 vs −5.5) compared with PBO treatment ( nr-axSpA : −2.1 vs −2.9; r-axSpA : −3.1 vs −3.7). Improvements continued to Week 52 with BKZ treatment ( nr-axSpA: BKZ: −5.7 vs −6.2, PBO/BKZ: −5.5 vs −5.1; r-axSpA: BKZ: −5.4 vs −6.5, PBO/BKZ: −5.5 vs −5.8). For change from baseline in OSI outcomes, RDs generally indicated a higher BKZ vs PBO treatment effect in males vs females at Week 16 (Figure 2). However, absolute OSI values in males and females were generally comparable at Week 16, with values maintained or improved to Week 52 with BKZ treatment (Figure 2). Conclusion: The treatment effect of BKZ vs PBO at Week 16 tended to be higher among male patients with axSpA compared to their female counterparts. However, at Week 52 female patients showed marked improvement in longer-term treatment response to BKZ, with efficacy comparable to those seen in male patients at this timepoint. Overall, the efficacy of BKZ in clinical, patient-reported, and OSI outcomes was demonstrated in both male and female patients across the full disease spectrum of axSpA. REFERENCES: [1] van der Heijde D. Ann Rheum Dis 2023;82(4):515–26. [2] Baraliakos X. Ann Rheum Dis 2024;83(2):199–213. [3] van der Horst-Bruinsma. Ann Rheum Dis 2013;72(7):1221–4. Acknowledgements: Funded by UCB. Medical writing support provided by Costello Medical and funded by UCB. Disclosure of Interests: Martin Rudwaleit Speakers bureau from AbbVie, Boehringer Ingelheim, Chugai, Eli Lilly, Janssen, Novartis, Pfizer and UCB, Consultant of AbbVie, Eli Lilly, Novartis and UCB, Sofia Ramiro Consultant for AbbVie, Eli Lilly, Galapagos/Alfasigma, Janssen, Novartis, Pfizer, Sanofi and UCB, Grants from AbbVie, Galapagos/Alfasigma, MSD, Novartis, Pfizer and UCB, Denis Poddubnyy Speaker for AbbVie, BMS, Eli Lilly, MSD, Novartis, Pfizer and UCB, Consultant for AbbVie, Biocad, Eli Lilly, Gilead, GSK, MSD, Moonlake, Novartis, Pfizer, Samsung Bioepis and UCB, Grant/research support from AbbVie, Lilly, MSD, Novartis and Pfizer, Marina Magrey Consultancy fees from AbbVie, BMS, Eli Lilly, Novartis, Pfizer and UCB, Research grants from AbbVie, BMS and UCB, Irene van der Horst-Bruinsma Fees received for Lectures from AbbVie, BMS, MSD and Pfizer, Consultant for AbbVie, Eli Lilly, MSD, Novartis and UCB, Unrestricted Grants received for investigator-initiated studies from AbbVie, MSD, Pfizer and UCB, Atul Deodhar Speaker for Eli Lilly, J&J, Novartis, Pfizer and UCB, Consultant for BMS, Eli Lilly, J&J, MoonLake, Novartis, Pfizer and UCB, Grant/research support from BMS, Eli Lilly, J&J, Novartis, Pfizer and UCB, Vanessa Taieb Shareholder of UCB, Employee of UCB, Diana Voiniciuc Contractor for UCB and employee of Veramed, Natasha de Peyrecave Employee of UCB, Lianne S Gensler Consulting fees from Acelyrin, Eli Lilly, Janssen, Novartis, Pfizer and UCB, Grants from UCB paid to institution. © The Authors 2025. This abstract is an open access article published in Annals of Rheumatic Diseases under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Neither EULAR nor the publisher make any representation as to the accuracy of the content. The authors are solely responsible for the content in their abstract including accuracy of the facts, statements, results, conclusion, citing resources etc.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,005 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,003 | 0,003 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».