AB1104 STRINGENT DISEASE ACTIVITY CONTROL AT 2 YEARS ACROSS PSORIATIC ARTHRITIS DOMAINS IRRESPECTIVE OF BASELINE CHARACTERISTICS IN PATIENTS TREATED WITH GUSELKUMAB: POST-HOC ANALYSIS OF A PHASE 3, RANDOMIZED, DOUBLE-BLIND, PLACEBO-CONTROLLED STUDY
Notice bibliographique
Résumé
Background Guselkumab (GUS) is associated with robust and sustained improvement in psoriatic arthritis (PsA) signs and symptoms in subgroups of patients (pts) pooled from the phase 3 DISCOVER-1 and DISCOVER-2 trials, across a variety of baseline (BL) pt characteristics through 1[1], and 2 years (DISCOVER-2 only)[2]. Objectives This post-hoc analysis using DISCOVER-2 data aimed to evaluate the efficacy of GUS in inducing long-term (Week [W]100) stringent disease control in Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA)-recommended domains across BL characteristics. Methods DISCOVER-2 enrolled biologic-naïve adults with active PsA defined as ≥5 swollen and ≥5 tender joint counts (SJC; TJC) and C-reactive protein (CRP) ≥0.6 mg/dL. 739 pts were randomized (1:1:1) and treated with GUS 100 mg every 4 weeks (Q4W; n=245); GUS 100 mg at Week 0, Week 4, then every 8 weeks (Q8W; n=248); or placebo (n=246) with crossover to GUS 100 mg Q4W at W24. In this analysis, only GUS-randomized pts were included (n=493). Achievement of the following outcomes at W100 was assessed: minimal disease activity (MDA), American College of Rheumatology 50% improvement (ACR50), ACR70, Investigator’s Global Assessment score of 0 (clear skin) (IGA 0), Psoriatic Arthritis Disease Activity Score – low disease activity (PASDAS LDA), resolution of enthesitis and dactylitis, Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-F) response (≥4-point improvement), and Health Assessment Quality Disease Index (HAQ-DI) response (≥0.35-point improvement). BL characteristics of interest were pt sex, baseline body mass index (BMI), SJC, TJC, PsA duration, CRP, % body surface area (BSA) with psoriasis, and PASI score, and use of conventional synthetic (cs) DMARDs and methotrexate (MTX). Non-responder imputation was used for missing categorical response data. Results 442 (90%) GUS-randomized pts completed study treatment through W100. With few exceptions, achievement of MDA response (Figure 1) at Week 100 was demonstrated across a variety of baseline pt characteristics, without consistent differences in proportion of responders across pt subgroups of adequate sample size or between GUS dosing regimens. Similar trends were observed for achievement of ACR50, ACR70, IGA 0, PASDAS LDA, enthesitis resolution, dactylitis resolution, FACIT-F response, and HAQ-DI response. Conclusion Irrespective of dosing regimen, treatment with GUS resulted in sustained achievement of several stringent endpoints spanning key GRAPPA-recommended domains through 2 years across a variety of BL demographic and disease characteristics. These results further support the long-term efficacy of GUS across the full spectrum of PsA disease domains and diverse PsA populations. References [1]Ritchlin CT. et al. RMD Open. 2022 Mar;8(1):e002195; [2]Ritchlin CT. et al. Abstract N°AB0526. EULAR 2021. Acknowledgements: NIL. Disclosure of Interests Christopher T. Ritchlin Consultant of: AbbVie, Amgen, Eli Lilly, Gilead, Janssen, Novartis, Pfizer, and UCB, Grant/research support from: AbbVie, Amgen, and UCB, Philip J Mease Speakers bureau: AbbVie, Amgen, Eli Lilly, Janssen, Novartis, Pfizer, Sun Pharma, and UCB, Consultant of: AbbVie, Aclaris, Amgen, Boehringer Ingelheim, Bristol Myers Squibb, Eli Lilly, Galapagos, Gilead, GlaxoSmithKline, Inmagene, Janssen, Novartis, Pfizer, Sun Pharma, and UCB, Grant/research support from: AbbVie, Amgen, Bristol Myers Squibb, Eli Lilly, Galapagos, Gilead, Janssen, Novartis, Pfizer, Sun Pharma, and UCB, Wolf-Henning Boehncke Consultant of: AbbVie, Almirall, Eli Lilly, Janssen, Leo, Novartis, and UCB, John Tesser Speakers bureau: AbbVie, Amgen, Bristol Myers Squibb, Eli Lilly, Janssen and Pfizer, Consultant of: AbbVie, Eli Lilly, Janssen, Novartis, and Pfizer, advisory board fees from Bristol Myers Squibb, Eli Lilly, Gilead, Janssen, Novartis, and Pfizer, Grant/research support from: AbbVie, Amgen, Bristol Myers Squibb, Celgene, CorEvitas, Eli Lilly, Gilead, Janssen, Pfizer, and Sun Pharma, Soumya D Chakravarty Employee of: Janssen Scientific Affairs, LLC; shareholder in Johnson & Johnson, of which Janssen Scientific Affairs, LLC is a wholly-owned subsidiary, Emmanouil Rampakakis Consultant of: Janssen, Employee of: JSS Medical Research, May Shawi Employee of: Janssen Pharmaceutical Companies of Johnson & Johnson; shareholder of Johnson & Johnson, Elena Schiopu Consultant of: Janssen, Grant/research support from: Janssen, Joseph F. Merola Consultant of: AbbVie, Arena, Biogen, Bristol Myers Squibb, Dermavant, Eli Lilly, Janssen, Novartis, Pfizer, Sun Pharma, and UCB, Iain McInnes Shareholder of: Causeway Therapeutics, and Evelo Compugen; Non Exec Roles: NHS GGC Board Member, Evelo Board of Directors and Versus Arthritis Trustee Status, Consultant of: AbbVie, Amgen, Astra Zeneca, Bristol Myers Squibb, Cabaletta, Compugen, Eli Lilly, Gilead, GSK, Janssen, Novartis, Pfizer, Roche, Sanofi, and UCB, Grant/research support from: Astra Zeneca, Amgen, Bristol Myers Squibb, Eli Lilly, GSK, Janssen, Novartis, Roche, and UCB, Atul Deodhar Speakers bureau: AbbVie, Eli Lilly, Janssen, Novartis, Pfizer, and UCB, Consultant of: AbbVie, Amgen, Aurinia, Bristol Myers Squibb, Celgene, Eli Lilly, GSK, Janssen, MoonLake, Novartis, Pfizer, and UCB, Grant/research support from: AbbVie, Eli Lilly, GSK, Novartis, Pfizer, 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 | 0,008 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,006 | 0,005 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,003 |
| 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 ».