OA37 Secukinumab treatment in children and adolescents with enthesitis-related arthritis and juvenile psoriatic arthritis: efficacy and safety results from a Phase 3 study
Notice bibliographique
Résumé
Abstract Background/Aims Enthesitis-related arthritis (ERA) and juvenile psoriatic arthritis (JPsA) are two conditions that represent paediatric correlates of axial spondyloarthritis (axSpA) and adult psoriatic arthritis (PsA), respectively. Secukinumab has demonstrated efficacy and safety in adult patients with PsA, ankylosing spondylitis, and non-radiographic axSpA. This study evaluated efficacy and safety of secukinumab using a randomized, double-blind, placebo-controlled flare prevention design in patients with active ERA and JPsA. Methods Patients (aged 2 to < 18 years) classified as ERA or JPsA according to ILAR criteria of ≥ 6 months’ duration with active disease were included. The 2-year study consisted open-label subcutaneous secukinumab (75/150 mg in patients <50/ ≥50 kg) treatment at baseline, and at Weeks 1, 2, 3, 4, 8, and 12 in treatment period (TP) 1. Responders who achieved at least JIA ACR 30 response at Week 12 were randomized into the double-blind TP2 to continue secukinumab or placebo every 4 weeks until disease flare, or up to Week 100. Primary endpoint was time to flare in TP2; key secondary endpoints included JIA ACR 30/50/70/90/100, inactive disease, juvenile arthritis disease activity score (JADAS), enthesitis and active joint counts, and safety. Analysis of time to flare in TP2 included proportion of patients with disease flare, Kaplan-Meier estimate of median days for time to flare, hazard ratio (HR) estimate, and stratified log-rank test P-value. Intent-to-treat (ITT) analysis using non-responder imputation (NRI) and as-observed analysis were performed for JIA ACR 30/50/70/90/100 responses and inactive disease. Results 86/97 (88.7%) screened patients were enrolled in TP1 (mean age, 13.1 years; female, 33.7%; ERA, n = 52; JPsA, n = 34) with a mean JADAS-27 score of 15.1 and enthesitis count of 2.6 at baseline. At Week 12, 75/83 (90.4%) patients achieved JIA ACR 30 and entered TP2. There were 21 flares in placebo-treated and 10 flares in secukinumab-treated patients during TP2. Primary endpoint was met: secukinumab-treated patients had significantly longer time to flare versus placebo, resulting in a 72% reduced flare risk (HR: 0.28; 95% CI: 0.13-0.63; P<0.001). There were minor differences between the ITT and as-observed analysis in JIA ACR responses and inactive disease in TP1. Improvement in JADAS-27 score was observed in patients in both ERA and JPsA categories (mean JADAS-27 score of 4.6). Rates of adverse events (AEs; 91.7% vs 92.1%) and serious AEs (14.6% vs 10.5%) in secukinumab and placebo groups were comparable in entire TP. No new safety signals were observed in patients receiving secukinumab (injection-site reaction, n = 1; overall patient-years=141.5). Conclusion In children and adolescents with ERA and JPsA, efficacy of secukinumab was demonstrated with significantly longer time to flare versus placebo, with sustained improvement of signs and symptoms up to Week 104. Efficacy was observed in ERA and JPsA patients along with a favorable safety profile. Disclosure A.V. Ramanan: Consultancies; Novartis, Eli Lilly, UCB, Abbvie, Sobi, Roche. Honoraria; Novartis, Eli Lilly, UCB, Abbvie, Sobi, Roche. H.I. Brunner: Consultancies; Aurina, AbbVie, Astra Zeneca-Medimmune, Biogen, Boehringer Ingelheim, Bristol-Myers Squibb, Celgene, Eli Lilly, EMD Serono, GlaxoSmithKline, F. Hoffmann-La Roche, Merck, Novartis, R-Pharm, Sanofi, Pfizer. Member of speakers’ bureau; Pfizer, Roche, GlaxoSmithKline. Grants/research support; Bristol-Myers Squibb, Eli Lilly, GlaxoSmithKline, F. Hoffmann-La Roche, Janssen, Novartis, Pfizer. I. Foeldvari: Consultancies; Novartis, Eli Lilly, Pfizer. E. Alexeeva: Member of speakers’ bureau; Novartis, Pfizer, Sanofi, MSD, Amgen, Eli Lilly, Roche. Grants/research support; Novartis, Pfizer, Sanofi, MSD, Amgen, Eli Lilly, Roche. N.A. Ayaz: None. I. Calvo: Consultancies; Sobi, Novartis, Abbvie, GlaxoSmithKline, Pfizer, Amgen, Clementia. Member of speakers’ bureau; Sobi, Novartis, Novartis, GlaxoSmithKline, Pfizer, Amgen, Clementia. O. Kasapcopur: None. V.G. Chasnyk: None. M. Hufnagel: Grants/research support; Astellas, F. Hoffmann-La Roche, Novartis. Z. Zuber: None. G. Schulert: Consultancies; Sobi, Novartis. S. Ozen: None. A. Popov: None. C. Scott: None. B. Sözeri: None. E. Zholobova: Member of speakers’ bureau; Abbvie, Pfizer, Roche, Novartis. Grants/research support; Pfizer, Novartis. X. Zhu: Other; Employee of Novartis. S. Whelan: Shareholder/stock ownership; Novartis. Other; Employee of Novartis. L. Pricop: Shareholder/stock ownership; Novartis. Other; Employee of Novartis. A. Ravelli: Consultancies; AbbVie, Pfizer. Honoraria; AbbVie, Pfizer, Novartis, Reckitt-Benkiser, Angelini. Member of speakers’ bureau; Novartis. Grants/research support; Novartis, Pfizer. A. Martini: Consultancies; Aurinia, Bristol Myers Squibb, Eli-Lilly, EMD Serono, Janssen, Pfizer, Roche. Honoraria; Aurinia, Bristol Myers Squibb, Eli-Lilly, EMD Serono, Janssen, Pfizer, Roche. D.J. Lovell: Consultancies; AstraZeneca, Wyeth, Amgen, Abbott, Pfizer, Hoffmann-La Roche, Novartis, UBC, Janssen, GlaxoSmithKline, Boehringer Ingelheim, Celgene, Bristol Myers Squibb, AbbVie. Member of speakers’ bureau; Abbott, Novartis, DSMB member: Forest Research, NIH-NIAMS, Canadian Arthritis Society. N. Ruperto: Honoraria; Ablynx, Amgen, Astrazeneca-Medimmune, Aurinia, Bayer, Bristol Myers and Squibb, Cambridge Healthcare Research (CHR), Celgene, Domain therapeutic, Eli-Lilly, EMD Serono, Glaxo Smith and Kline, Idorsia, Janssen, Novartis, Pfizer, Sobi, 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 | 0,002 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,002 |
| 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 ».