POS0226 APREMILAST REDUCES INFLAMMATION AS MEASURED BY MRI OF THE HAND IN PATIENTS WITH PSORIATIC ARTHRITIS: PRIMARY RESULTS FROM THE PHASE 4 MOSAIC STUDY
Notice bibliographique
Résumé
Background Psoriatic arthritis (PsA) is characterized by inflammatory arthritis, enthesitis, dactylitis, and spondylitis. Apremilast is an oral immunomodulating phosphodiesterase-4 inhibitor approved for the treatment of PsA. The impact of apremilast on objective measures of inflammation and structural progression of PsA has not yet been characterized. Here, we evaluate the efficacy of apremilast 30 mg BID (APR) on inflammation measured by dedicated MRI of the hand. Objectives To evaluate the efficacy of APR on inflammation and imaging outcomes and the safety profile of APR in this setting. Methods MOSAIC (NCT03783026) was a phase 4, multicenter, single-arm, open-label study in patients (pts) with active PsA (≥3 months but ≤5 years since diagnosis, meeting CASPAR criteria for PsA) evaluating APR as monotherapy or in combination with stable methotrexate. Pts were treated with APR for 48 weeks and had MRI of the hand (contrast-enhanced) performed at baseline (BL), Week 24, and Week 48. All images were read and adjudicated by 2 experienced readers blinded to clinical information and time of acquisition. The primary endpoint was change from BL in the composite score of hand bone marrow edema (BME), synovitis, and tenosynovitis in fingers 2–5, as assessed by the PsA MRI Score (PsAMRIS) at Week 24. Total inflammation score, comprised of BME, synovitis, tenosynovitis, and periarticular inflammation in fingers, was also assessed. Structural progression was assessed by the total hand damage score (determined by bone erosion and bone proliferation in fingers 2–5). Subgroup analyses based on BL disease activity as measured by Clinical Disease Activity Index for Psoriatic Arthritis (cDAPSA) were performed for key endpoints. Results A total of 122 pts enrolled and received APR. Mean age was 47 years, 55% were women, and mean duration of PsA was 1.9 years. The Full Analysis Set (FAS) included 98 pts evaluable for the primary endpoint (having BL and Week 24 data); 4 had major protocol deviations and 94 were evaluable as part of the per protocol (PP) population. The least-squares (LS) mean (95% CI) change from BL in the composite inflammation score of BME, synovitis, and tenosynovitis as assessed by PsAMRIS (FAS) was -2.32 (-4.73, 0.09) at Week 24 and -2.91 (-5.45, -0.37) at Week 48 (Figure 1). In the PP population, the LS mean (95% CI) change from BL in the composite score at Weeks 24 and 48 indicated a significant reduction of disease activity (Figure 1). Significant improvements from BL were seen in total inflammation scores (BME + synovitis + tenosynovitis + periarticular inflammation) in the FAS (Figure 1). The structural outcome indicated by the total hand damage score, including bone erosion, showed no significant change from BL to Week 48 (Figure 1). Pts also experienced significant improvements from BL in cDAPSA at Weeks 24 and 48 (Figure 1). Subgroup analyses based on disease activity at BL showed significant improvements from BL in inflammation in pts with moderate disease activity (ModDA; cDAPSA score >13 to ≤27) and no significant change from BL in total damage (Figure 1). Though it was insignificant, pts with high disease activity (HDA; cDAPSA score >27) did have improvement from BL in inflammation indices (Figure 1). Common treatment-emergent adverse events were diarrhea (33.6%), nausea (12.3%), headache (10.7%), nasopharyngitis (7.4%), and dyspepsia (6.6%). No new safety signals were identified. Conclusion Pts with PsA treated with APR had improvements in both clinical indices and objective MRI indices of inflammation assessed by PsAMRIS in the target hand at Week 24 and Week 48, confirming an effect of APR on clinical and inflammatory manifestations of PsA. Pts with ModDA seemed to have greater improvement from BL in MRI inflammation scores than pts with HDA. No significant structural progression was observed. These results offer important insights on the effect of apremilast in PsA and highlight the value of using MRI and PsAMRIS as measures of inflammatory disease activity and change following treatment. Acknowledgements This study was funded by Amgen Inc. Writing support was funded by Amgen Inc. and provided by Christina Mulvihill, PharmD, of Peloton Advantage, LLC, an OPEN Health company, and Scott Houck, PhD, employee of and stockholder in Amgen Inc. Disclosure of Interests Mikkel Østergaard Speakers bureau: speaker and/or consultancy fees from AbbVie, BMS, Boehringer Ingelheim, Celgene, Eli Lilly, Galapagos, Gilead, Hospira, Janssen, MEDAC, Merck, Novartis, Novo Nordisk, Orion, Pfizer, Regeneron, Roche, Sandoz, Sanofi, and UCB, Consultant of: speaker and/or consultancy fees from AbbVie, BMS, Boehringer Ingelheim, Celgene, Eli Lilly, Galapagos, Gilead, Hospira, Janssen, MEDAC, Merck, Novartis, Novo Nordisk, Orion, Pfizer, Regeneron, Roche, Sandoz, Sanofi, and UCB, Grant/research support from: Received research grants from AbbVie, Amgen Inc., BMS, Merck, Celgene, and Novartis, Walter P Maksymowych Consultant of: Received consulting fees from AbbVie, BMS, Celgene, Galapagos, Gilead, Janssen, Lilly, Novartis, Pfizer, and UCB, Grant/research support from: grant/research support from AbbVie, Novartis, Pfizer, and UCB, Employee of: chief medical officer of CARE Arthritis Limited, Mikael Boesen Shareholder of: reports stock ownership in Image Analysis Group, Speakers bureau: speaker and/or consultancy fees from AbbVie, Celgene, Eli Lilly, Image Analysis Group, Novartis, Pfizer, and UCB, Consultant of: speaker and/or consultancy fees from AbbVie, Celgene, Eli Lilly, Image Analysis Group, Novartis, Pfizer, and UCB, Grant/research support from: Received grants from AbbVie, Celgene, and Novartis, Robert G Lambert Consultant of: Received consulting fees from Calyx, CARE Arthritis Limited, and Image Analysis Group, Guillermo Valenzuela Speakers bureau: speakers bureau for AbbVie, Amgen Inc., AstraZeneca, BMS, Boehringer Ingelheim, Celgene, Centocor, Eli Lilly, Genentech, Horizon, Janssen, Mallinckrodt, Novartis, Pfizer, Pharmacia, Radius, Regeneron, Sanofi, Takeda, and UCB, Consultant of: consultant for AbbVie, Alexion, Amgen Inc., Boehringer Ingelheim, Celgene, Eli Lilly, Esaote, Exagen, Genentech, Gilead, Global Health Living, Horizon, Image Analysis Group, Janssen, Merck, Novartis, Pfizer, Regeneron, Sandoz, Sanofi, and UCB, Grant/research support from: Received grant/research support from Mallinckrodt and Novartis, Michael Bubb Grant/research support from: Research grants from Amgen Inc., BMS, Eli Lilly, Gilead, GSK, Janssen, Novartis, Pfizer, and UCB., Olga Kubassova Employee of: Employment by and stock ownership in Image Analysis Group, Jyotsna Reddy Shareholder of: Employment by and stock ownership in Amgen Inc., Employee of: Employment by and stock ownership in Amgen Inc., Stephen Colgan Shareholder of: Employment by and stock ownership in Amgen Inc., Employee of: Employment by and stock ownership in Amgen Inc., Yuri Klyachkin Shareholder of: Employment by and stock ownership in Amgen Inc., Employee of: Employment by and stock ownership in Amgen Inc., Cynthia Deignan Shareholder of: Employment by and stock ownership in Amgen Inc., Employee of: Employment by and stock ownership in Amgen Inc., Lihua Tang Shareholder of: Employment by and stock ownership in Amgen Inc., Employee of: Employment by and stock ownership in Amgen Inc., Maria Paris Shareholder of: Employment by and stock ownership in Amgen Inc., Employee of: Employment by and stock ownership in Amgen Inc., Philip J Mease Speakers bureau: speakers bureau for AbbVie, Amgen Inc., Eli Lilly, Janssen, Novartis, Pfizer, and UCB., Consultant of: consultant for Boehringer Ingelheim and GlaxoSmithKline, Grant/research support from: Grant/research support and consultant for AbbVie, Amgen Inc., Bristol Myers Squibb, Eli Lilly, Galapagos, Gilead, Janssen, Novartis, Pfizer, Sun, and UCB.
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 | 0,002 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 ».