IMPROVEMENTS OBSERVED IN SKIN AND JOINT MANIFESTATIONS OF SYSTEMIC LUPUS ERYTHEMATOSUS WITH DAPIROLIZUMAB PEGOL TREATMENT: RESULTS FROM A PHASE 3 TRIAL
Notice bibliographique
Résumé
O009 / #367 Topic: AS24 - SLE-Treatment ABSTRACT CONCURRENT SESSION 01: FINDINGS FROM LUPUS CLINICAL TRIALS 22-05-2025 1:40 PM - 2:40 PM Background/Purpose Dapirolizumab pegol (DZP) is a novel, polyethylene glycol (PEG)-conjugated antigen-binding (Fab’) fragment, lacking an Fc domain, that inhibits CD40L signaling. In the phase 3 PHOENYCS GO trial ( NCT04294667 ) in patients with systemic lupus erythematosus (SLE), DZP resulted in improvements in different global disease activity endpoints at Week 48 vs placebo (PBO), and was generally well tolerated.[1] Here, we report the impact of DZP on SLE skin and joint manifestations in patients in the PHOENYCS GO trial. Methods PHOENYCS GO was a 48-week, randomized, double-blind, PBO-controlled trial. Patients aged ≥ 16 years with moderate-to-severe, active SLE characterized by persistently active or frequently flaring/relapsing-remitting disease activity despite stable standard of care (SOC) medication (antimalarials, corticosteroids, and/or immunosuppressants) were included. Patients were randomized 2:1 to intravenous DZP 24 mg/kg plus SOC medication (DZP+SOC) or PBO+SOC every 4 weeks. Cutaneous Lupus Disease Area and Severity Index (CLASI) and tender/swollen joint counts (TJC/SJC) were recorded at baseline and Weeks 4, 8, 12, 24, 36, and 48. The proportion of patients achieving meaningful improvement in CLASI Activity (CLASI-A) Score (≥ 50% improvement) in all patients and those with high CLASI-A score (≥ 8) at baseline, and the proportion with a meaningful decrease in TJC/SJC (≥ 50% decrease) are reported. Difference in proportion responding between DZP+SOC and PBO+SOC, 95% CIs, and p values were estimated and tested using the Cochran-Mantel-Haenszel (CMH) risk difference estimate controlling for stratification factors. Analyses were performed on the full analysis set. Results At baseline, mean (SD) CLASI-A score was similar between patients receiving DZP+SOC (8.0 [5.7]; n = 208) and PBO+SOC (7.8 [6.8]; n = 107). Overall, 97.1% (202/208) receiving DZP+SOC and 93.5% (100/107) receiving PBO+SOC had CLASI-A score > 0 at baseline. Additionally, 45.2% (94/208) and 39.3% (42/107) receiving DZP+SOC and PBO+SOC had CLASI-A score ≥ 8 at baseline. Of all patients, 57.2% (119/208) vs 39.3% (42/107) receiving DZP+SOC vs PBO+SOC achieved ≥ 50% improvement in CLASI-A score at Week 48 (nominal p = 0.0022; difference 17.7%). Among those with CLASI-A score ≥ 8 at baseline, 57.4% (54/94) vs 38.1% (16/42) receiving DZP+SOC vs PBO+SOC achieved ≥ 50% improvement at Week 48 (nominal p = 0.0495; difference 18.2%; achievement over time is shown in Figure 1). At baseline, mean (SD) TJC was 11.7 (6.7) and 11.8 (7.5), and SJC was 7.9 (5.2) and 7.2 (5.7), in patients receiving DZP+SOC (n = 208) and PBO+SOC (n = 107), respectively. The mean (SD) number of joints which were tender and swollen (T&SJC) at baseline was 7.4 (5.0) and 6.8 (5.6) in patients receiving DZP+SOC and PBO+SOC. After 48 weeks, 65.9% (137/208) vs 50.5% (54/107) of all patients receiving DZP+SOC vs PBO+SOC achieved ≥ 50% decrease in T&SJC (nominal p = 0.0089; difference 15.2%; achievement over time is shown in Figure 2). Similar results at Week 48 were achieved for TJC only (63.5% vs 44.9%; nominal p = 0.0014; difference 18.4%) and SJC only (65.4% vs 49.5%; nominal p = 0.0078; difference 15.6%). Figure 1. Achievement of ≥ 50% improvement in CLASI-A Score over time in patients with CLASI-A Score ≥ 8 at baseline (NRI) Figure 2. Achievement of ≥ 50% decrease in T&SJC over time in all patients (NRI) Conclusions Beyond the previously reported significant improvement in overall disease activity,[1] treatment with DZP+SOC resulted in meaningful improvements in both skin and joint manifestations in patients with SLE. References: [1.] Clowse M. Arthritis Rheumatol 2024;76 (suppl 9). Acknowledgments: This study was funded by UCB and Biogen. Medical writing support provided by Costello Medical and funded by UCB and Biogen.
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 | 0,003 | 0,002 |
| 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 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 ».