ABS0543 INTERIM ANALYSIS OF A EUROPEAN REAL-WORLD STUDY ON THE EFFECTIVENESS, PHYSICIAN SATISFACTION, AND PATIENT CHARACTERISTICS IN PSORIATIC ARTHRITIS TREATED WITH BIMEKIZUMAB: INSIGHTS FROM GERMANY, SPAIN, AND THE UNITED KINGDOM
Notice bibliographique
Résumé
Background: Psoriatic arthritis (PsA) is a chronic inflammatory disease, characterised by inflammatory arthritis associated with psoriasis (PsO) [1]. Bimekizumab (BKZ) is a humanised monoclonal IgG1 antibody that acts by selectively inhibiting interleukin (IL)-17F in addition to IL-17A and has demonstrated long-term clinical efficacy and safety in patients with PsA [2, 3]. BKZ was approved for the treatment of PsA in Europe in 2023 [4]. Research in real-world settings can complement findings from randomised controlled trials by evaluating the effectiveness of treatments in a broader population. Objectives: To assess effectiveness, patient characteristics, treatment history, disease severity, and physician satisfaction among patients with PsA treated with BKZ, from a real-world cross-sectional study. Methods: Interim data were drawn from the Adelphi Real World BKZ PsA Plus Disease Specific Programme™, an ongoing cross-sectional survey, with elements of retrospective data collection from rheumatologists and dermatologists, and their consulting patients with PsA undergoing BKZ treatment. This is a multinational survey being conducted in France, Germany, Italy, Spain, the United Kingdom (UK), Canada, Japan, and the United States of America. Data collection began in July 2024, following a staggered approach by country based on BKZ reimbursement, and is expected to be complete in September 2025. Interim data from Germany, Spain and the UK is presented in this abstract. Physicians reported details of demographics, treatment history, perceived overall disease severity and skin severity, and their own satisfaction with the control provided by BKZ. Physician-reported severity and treatment satisfaction data were stratified by BKZ treatment duration (<3 months, 3–6 months, >6 months). No inclusion criteria relating to treatment duration were imposed. All analyses were descriptive and data were reported as observed; no imputation of missing values was performed. Results: Demographics, disease duration and treatment history for all patients with PsA treated with BKZ (n=342) are described in the Table 1. The sample was comprised of patients from Germany (35%), Spain (40%) and the UK (25%), with 80% of patients having a diagnosis of PSO prior to PsA. Participating rheumatologists (n=72) and dermatologists (n=27) reported that all patients had moderate-to-severe disease at BKZ initiation. At the most recent consultation, in patients who had been prescribed BKZ for <3 months, 3–6 months, or >6 months, 21%, 61%, and 80% of patients, respectively, were perceived by their physician to have mild disease severity (Figure 1A). In patients who had received at least 3 months of treatment, only 1% were perceived as having severe disease. The proportion of patients with no skin symptoms increased from 4% at BKZ initiation to 18% at the most recent consultation for patients prescribed BKZ for <3 months, increased from 3% to 29% for those prescribed BKZ for 3–6 months, and increased from 1% to 40% for those prescribed BKZ for >6 months (Figure 1B). At the most recent treatment consultation, in patients who had been prescribed BKZ for <3 months, 3-6 months, or >6 months, 76%, 97% and 98% of physicians, respectively, reported they were satisfied or very satisfied with the treatment (Figure 1C). Conclusion: In real-world settings, both physician-perceived overall disease severity and skin severity improved in patients with PsA treated with BKZ. A high proportion of physicians were satisfied with the control of PsA provided by BKZ in their patients, with nearly all physicians reporting satisfaction with treatment for patients that had been prescribed BKZ for at least 3 months. These findings confirm the effectiveness of BKZ in PsA in routine clinical practice. REFERENCES: [1] FitzGerald O, Ogdie A, Chandran V, Coates LC, Kavanaugh A, Tillett W, Leung YY, deWit M, Scher JU, Mease PJ. Nature reviews Disease primers 2021;7(1):59. [2] Glatt S, Baeten D, Baker T, Griffiths M, Ionescu L, Lawson AD, Maroof A, Oliver R, Popa S, Strimenopoulou F, Vajjah P. Annals of the rheumatic diseases 2018;77(4):523-32. [3] Mease PJ, Merola JF, Tanaka Y, Gossec L, McInnes IB, Ritchlin CT, Landewé RB, Asahina A, Ink B, Heinrichs A, Bajracharya R. Rheumatology and Therapy 2024;11(5):1363-82. [4] UCB Pharma S.A. Bimzelx© (bimekizumab): Summary of Product Characteristics. 2023. https://www.ema.europa.eu/en/medicines/hu man/EPAR/bimzelx (accessed: 28 November 2024). Acknowledgements: Data collection was undertaken by Adelphi Real World as part of an independent survey, entitled the BKZ PsA Plus Disease Specific Programme (DSP)™. The DSP is a wholly owned Adelphi product and is the intellectual property of Adelphi Real World. The analyses described here were funded by UCB and used data from the Adelphi BKZ PsA Plus DSP. UCB was one of multiple subscribers to the DSP and did not influence the original survey through either contribution to the design of questionnaires or data collection. Publication coordination was provided by Costello Medical and supported by UCB. Disclosure of Interests: Fabian Proft Speakers bureau with payments made directly to FP from AbbVie, AMGEN, BMS, Celgene, Eli Lilly, Hexal, Janssen, Medscape, MSD, Novartis, Pfizer, Roche and UCB, Consultancy with payments made directly to FP from AbbVie, BMS, Janssen, Novartis, Pfizer and UCB, Grant/research support from Novartis, Eli Lilly and UCB with payments made via FP's institution, Bruce Kirkham Speaker for Abbvie, Eli Lilly, Galapagos, Janssen, Novartis, Pfizer and UCB, Consultant for Eli Lilly, Novartis, Pfizer and UCB, Grant/research support from Eli Lilly, Rubén Queiro Paid instructor for Abbvie, Amgen, Eli Lilly, Janssen, Novartis, Pfizer, and UCB, Speaker for Abbvie, Amgen, Eli Lilly, Janssen, Novartis, Pfizer and UCB, Consultant for Abbvie, Amgen, Eli Lilly, Janssen, Novartis, Pfizer and UCB, Grant/research support from Abbvie, Janssen and Novartis, Isabel Truman Employee of Adelphi Real World, Dan Twigg Employee of Adelphi Real World, Hervé Besson Shareholder of UCB, Employee of UCB, Helena Roque Employee of UCB. © 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 | 0,012 | 0,014 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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 ».