P115 Real-world experience of bimekizumab for plaque psoriasis in adult patients with prior exposure to interleukin-23 inhibitors: a 52-week multicentre retrospective review
Notice bibliographique
Résumé
Abstract For adult patients with plaque psoriasis, limited information exists on switching between classes from an IL-23 inhibitor (IL-23i) to bimekizumab. We conducted a real-world, multicentre, retrospective study of bimekizumab following IL-23i exposure. Twenty-three subjects with prior exposure to an IL-23i were identified. Effectiveness outcomes included Investigator Global Assessment (IGA), psoriasis area and severity index (PASI), body surface area (BSA), and IGA × BSA scores. Safety was assessed via treatment-related adverse events (AEs). For 23 patients included, the mean age was 43 (range: 20–73) years, with 56.5% (13/23) being male. Prior IL-23i exposures included guselkumab only (52.2%, 12/23), risankizumab only (21.7%, 5/23), and both guselkumab and risankizumab (26.1%, 6/23). Reasons for discontinuation included lack of efficacy (95.7%, 22/23) and persistent psoriatic arthritis (4.3%, 1/23). Primary non-response to prior IL-23i was defined as lack of IGA 0/1 and/or 75% improvement in PASI (PASI75) at Week 16, whereas secondary non-response to prior IL-17i was defined as loss of IGA 0/1 and/or PASI75 response at any point afterwards. At Weeks 52 ± 6: IGA 0/1 was achieved by 66.7% (12/18); mean PASI, BSA, and IGA × BSA improvements from baseline were 69.6% (8.5–0.8), 71.8% (8.2–0.7%), and 74.6% (22.6–1.4), respectively; 65.2% (15/23), 56.5% (13/23), and 47.8% (11/23) achieved PASI75, 90% improvement in PASI (PASI90), and 100% improvement in PASI (PASI100), respectively; 78.3% (18/23), 69.6% (16/23), and 65.2% (14/23) achieved absolute PASI scores <3, <2, and <1; and 73.9% (17/23) achieved BSA <1%. In prior IL-23i primary non-responders (n = 6), 83.3% (5/6) achieved IGA 0/1 and/or PASI90 and 50% (3/6) achieved PASI100 with bimekizumab at Week 52 ± 6. In prior IL-23i secondary non-responders (n = 12), 66.7% (8/12) achieved IGA 0/1 and/or PASI90 and 50% (6/12) achieved PASI100 with bimekizumab at Week 52 ± 6. Four treatment-related AEs occurred (17.4%, 4/23), including oral candidiasis (8.7%, 2/23) and bacterial folliculitis (4.3%, 1/23). There were 3 (13%) treatment-related discontinuations [lack of efficacy (n = 2); AE: anxiety (n = 1)]. While our real-world results of patients with prior IL-23i exposure demonstrated lower achievement of effectiveness endpoints (IGA 0/1: 66.7%; PASI90: 56.5%; PASI100: 47.8%) at Week 52 ± 6 as compared with clinical trials, the discrepancy between clinical trials and this study may be explained by a more difficult-to-treat population with multiple biologic failures (56.5% utilized >3 biologics and 26.1% used several IL-23i). Our real-world study also included patients with >1 biologic failure, while Phase III clinical trials excluded this population. Our results highlight the long-term utility of bimekizumab in the setting of prior IL-23i exposure. Study limitations include its small sample and retrospective nature.
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 | 0,006 | 0,017 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,003 | 0,006 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 ».