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Enregistrement W4224315755 · doi:10.1093/rheumatology/keac132.037

OA37 Secukinumab treatment in children and adolescents with enthesitis-related arthritis and juvenile psoriatic arthritis: efficacy and safety results from a Phase 3 study

2022· article· en· W4224315755 sur OpenAlexaboutno aff
Athimalaipet V Ramanan, Hermine I. Brunner, Ivan Foeldvari, Е.I. Alexeeva, Nuray Aktay Ayaz, Inmaculada Calvo, Özgür Kasapçopur, Vyacheslav Chasnyk, Markus Hufnagel, Zbigniew Żuber, Grant S. Schulert, Seza Özen, Popov Aa, Christiaan Scott, Betül Sözeri, Елена Жолобова, Xuan Zhu, Sarah Whelan, Luminita Pricop, Angelo Ravelli, Alberto Martini, Daniel J. Lovell, Nicolino Ruperto

Notice bibliographique

RevueLara D. Veeken · 2022
Typearticle
Langueen
DomaineMedicine
ThématiqueAutoimmune and Inflammatory Disorders Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineSecukinumabPsoriatic arthritisEnthesitisInternal medicineClinical endpointArthritisPlaceboRandomized controlled trial

Résumé

récupéré en direct d'OpenAlex

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Essai randomisé · Signal consensuel: Essai randomisé
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,012

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,001
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0020,002
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0010,001
Science ouverte0,0010,000
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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.

Tête enseignante Opus0,008
Tête enseignante GPT0,256
Écart entre enseignants0,248 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeEssai randomisé
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2022
Routes d'admission1
Résumé présentoui

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