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Enregistrement W4411429315 · doi:10.1016/j.ard.2025.05.215

OP0203 ATTAINMENT OF LLDAS AND DORIS REMISSION DURING ANIFROLUMAB TREATMENT: INTERIM 6-MONTH RESULTS FROM A MULTINATIONAL, OBSERVATIONAL, POST-LAUNCH STUDY OF TREATMENT EFFECTIVENESS IN THE REAL WORLD

2025· article· en· W4411429315 sur OpenAlexaff
M. Mosca, Z. Amoura, J. Weinmann-Menke, Mark Matsos, I. Parodis, Danuta Kielar, Jonatan Nåtman, Stephanie Chen, Cathy Emmas, Miyoko Waratani

Notice bibliographique

RevueAnnals of the Rheumatic Diseases · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueHormonal Regulation and Hypertension
Établissements canadiensMcMaster University Medical Centre
Organismes subventionnairesnon disponible
Mots-clésMedicineInterimObservational studyInterim analysisPhysical therapyPediatricsInternal medicineRandomized controlled trial

Résumé

récupéré en direct d'OpenAlex

Background: The Anifrolumab Study of Treatment Effectiveness in the Real World (ASTER; NCT05637112), is a multi-national, prospective, observational study assessing the effectiveness of anifrolumab in patients with systemic lupus erythematosus (SLE) in routine clinical practice. Post-hoc analyses of the phase 3 TULIP-1/-2 and long-term extension (LTE) trials showed that, compared with placebo, remission according to the Definition of Remission in SLE (DORIS) and Lupus Low Disease Activity State (LLDAS), is more attainable and sustainable with anifrolumab treatment in addition to standard therapy in patients with SLE, with shorter time to first attainment and longer cumulative time in these states.[1,2] Here, we describe an interim analysis of DORIS remission and LLDAS attainment rates after 6 months of anifrolumab treatment in patients who participated in ASTER. Objectives: To evaluate the effects of anifrolumab treatment on DORIS remission and LLDAS attainment in patients with SLE from the first 6 months of the ASTER study. Methods: Eligible adults with SLE were enrolled at routine clinical visits before the first anifrolumab infusion date (index) and started anifrolumab treatment per the approved country-specific label at study sites. Baseline disease characteristics were collected retrospectively for 1 year prior to index. Data are reported as mean (standard deviation, SD) for time from SLE diagnosis, SLE Disease Activity Index 2000 (SLEDAI-2K), Physician Global Assessment (PGA), and Cutaneous Lupus Erythematosus Disease Area and Severity Index (CLASI) scores, and oral corticosteroid (OCS) daily dosage. Proportions of patients in DORIS remission, LLDAS, and the individual components of each were evaluated during the observed period at baseline and every 3 months up to 6 months in patients with ≥1 anifrolumab infusion; only patients with no missing individual components were included at each timepoint. The observed period was the time from the first anifrolumab infusion to study discontinuation or loss to follow-up. DORIS remission was defined by clinical SLEDAI-2K=0, PGA <0.5, OCS ≤5 mg/day prednisone or equivalent, and standard maintenance immunosuppressant or biologic dosing, if any. LLDAS was defined by all of the following criteria: SLEDAI-2K ≤4 with no activity in major organ systems, no new lupus disease activity compared with the previous assessment, PGA ≤1, OCS ≤7.5 mg/day prednisone or equivalent, and standard maintenance immunosuppressant or biologic dosing, if any. Results: Among the 266 patients in the interim ASTER cohort, mean (SD) time from SLE diagnosis to index was 12.3 (9.6) years. At baseline, mean (SD) scores were SLEDAI-2K=7.4 (4.1), PGA=1.5 (0.6), CLASI activity=6.4 (7.2), and CLASI damage=3.3 (6.4). Among patients with available SDI data, about half (53.0%, n/N=133/251) had a baseline SDI score ≥1. Of the 260 patients with available SLEDAI-2K data, most patients (74.2%, 193/260) had a baseline SLEDAI-2K score <10. Overall, mean (SD) OCS dosage at baseline was 5.7 (8.6) mg/day (>5 mg/day: 28.9%, 77/266; >7.5 mg/day: 23.7%, 63/266); among patients with baseline OCS dosage >0 mg/day (n=144), mean dosage was 10.5 (9.2) mg/day. At baseline, 23.3% of patients (62/266) had prior use of a biologic, 13.2% (35/266) an immunosuppressant, and 30.8% (82/266) received at least one of these medications. Among the patients with no missing data for any DORIS remission components, rates of DORIS remission increased from 1.2% (3/256) at baseline to 10.5% (18/171) at 3 months and 19.0% (15/79) at 6 months after the first anifrolumab infusion (Table 1). Similarly, rates of LLDAS attainment increased from 10.5% (27/256) at baseline to 35.7% (61/171) at 3 months and 36.7% (29/79) at 6 months after the first anifrolumab infusion. Over 6 months of follow-up, the greatest increase in the proportion of patients achieving an individual DORIS component was in the clinical SLEDAI-2K=0 component (baseline: 6.3%, 16/256; 3 months: 36.8%, 63/171; and 6 months: 49.4%, 39/79); the greatest increase among LLDAS components was in the PGA ≤1 component (baseline: 28.5%, 73/256; 3 months: 66.7%, 114/171; and 6 months: 75.9%, 60/79) (Table 1). Conclusion: In ASTER at baseline, rates of DORIS remission and LLDAS were low among patients receiving routine SLE care. Within 6 months of the first anifrolumab infusion, attainment rates for both states substantially increased. Though follow-up data beyond 6 months are needed to determine if these effects can be sustained, these findings suggest that both targets are achievable with anifrolumab treatment in a real-world setting. REFERENCES: [1] Morand EF, et al. Ann Rheum Dis. 2023;82(5):639–45. [2] Morand EF, et al. Ann Rheum Dis. Accepted for publication, November 2024. Acknowledgements: This study was sponsored by AstraZeneca. Writing assistance was provided by Sheila Longo, PhD, of JK Associates Inc., part of Avalere Health, and funded by AstraZeneca. Disclosure of Interests: Marta Mosca Speaker - Abbvie; AstraZeneca; GSK; Lilly; Otsuka; UCB, Consultant - AstraZeneca; Abbvie; GSK; BMS; Novartis; Biogen; Idorsia; UCB; Otsuka, Grant/Research Support - GSK, Zahir Amoura Consultant - Roche; GSK; AstraZeneca; Merck; Novartis, Grant/Research Support - Roche; GSK; AstraZeneca; Novartis, Julia Weinmann-Menke Speaker - Otsuka; Boehringer Ingelheim; Novartis; AstraZeneca; Vifor Pharma; Alexion, Consultant - Otsuka; Boehringer Ingelheim; Novartis; Astra-Zeneca; Vifor Pharma, Grant/Research Support - Grants paid to my institution to perform clinical trials and IITs, Mark Matsos Speaker - AstraZeneca, Consultant - AstraZeneca, Ioannis Parodis Speaker - Amgen; AstraZeneca; Aurinia Pharmaceuticals; Elly Lilly and Company; Gilead Sciences; GSK; Janssen Pharmaceuticals; Novartis; Otsuka Pharmaceutical; F. Hoffmann-La Roche AG, Grant/Research Support - Amgen; AstraZeneca; Aurinia Pharmaceuticals; Elly Lilly and Company; Gilead Sciences; GSK; Janssen Pharmaceuticals; Novartis; Otsuka Pharmaceutical; F. Hoffmann-La Roche AG, Danuta Kielar Shares/Stock - AstraZeneca, Current Employee - AstraZeneca, Jonatan Nåtman Shares/Stock - AstraZeneca, Current Employee - AstraZeneca, Stephanie Chen Shares/Stock - AstraZeneca, Current Employee - AstraZeneca, Cathy Emmas Shares/Stock - AstraZeneca, Current Employee - AstraZeneca, Miina Waratani Shares/Stock - AstraZeneca, Current Employee – AstraZeneca. © The Authors 2025. This abstract is an open access article published in Annals of Rheumatic Diseases under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Neither EULAR nor the publisher make any representation as to the accuracy of the content. The authors are solely responsible for the content in their abstract including accuracy of the facts, statements, results, conclusion, citing resources etc.

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)0,011
score de la tête « metaresearch » (Gemma)0,008
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,011
Score d'incertitude au seuil0,060

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0110,008
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,002
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,001
Communication savante0,0020,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,003
Charge utile insuffisante (le modèle a refusé de juger)0,0020,001

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.

Tête enseignante Opus0,091
Tête enseignante GPT0,375
Écart entre enseignants0,285 · 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'étudeObservationnel
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
Publié2025
Routes d'admission1
Résumé présentoui

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