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Enregistrement W4408445833 · doi:10.1007/s40257-025-00931-1

Long-Term Disease Control and Minimal Disease Activity of Head and Neck Atopic Dermatitis in Patients Treated with Tralokinumab up to 4 Years

2025· article· en· W4408445833 sur OpenAlexaff
Raj Chovatiya, Simone Ribero, Andreas Wollenberg, Chang Ook Park, Juan Francisco Silvestre, Hwanhee Hong, Julien Sénéschal, Hidehisa Saeki, Jacob P. Thyssen, Christian Bjerregård Øland, Le Gjerum, Douglas Maslin, Andrew Blauvelt

Notice bibliographique

RevueAmerican Journal of Clinical Dermatology · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueDermatology and Skin Diseases
Établissements canadiensUniversity of British Columbia
Organismes subventionnairesLEO Pharma
Mots-clésMedicineAtopic dermatitisDupilumabPharmacotherapyDermatologyPediatricsDiseaseHead and neckDisease controlInternal medicineSurgery

Résumé

récupéré en direct d'OpenAlex

There is a need for long-term atopic dermatitis (AD) treatments that can effectively improve AD involvement of the head and neck (H&N) region (referred to as H&N AD). Tralokinumab, a high-affinity monoclonal antibody that neutralizes interleukin-13, is approved for the treatment of moderate-to-severe AD. Recent real-world studies have observed the effectiveness of tralokinumab for H&N AD. Here, data from phase III parent trials, ECZTRA 1 and ECZTRA 2, and the long-term extension trial, ECZTEND, were used to assess impacts of long-term tralokinumab treatment on H&N AD and the association between improvements in H&N AD and patient quality of life, and to evaluate whether a proportion of patients developed paradoxical H&N erythema. These post hoc analyses included data from all patients initiated on tralokinumab in ECZTRA 1 or ECZTRA 2. Patients were treated up to 4 years (i.e., up to 52 weeks in ECZTRA 1 or ECZTRA 2 plus up to 152 weeks in ECZTEND). Outcomes included body region subscores of the Eczema Area and Severity Index (EASI; H&N, upper limbs, trunk, lower limbs) and the Dermatology Life Quality Index (DLQI). Correlations between H&N EASI and DLQI were assessed with Spearman’s correlation coefficient (ρ). The incidence of paradoxical H&N erythema (defined as H&N EASI erythema increasing from baseline to a score of 3, while all other regional EASI subscores are 0 or 1, during two or more consecutive visits) was also assessed. Overall, 1192 patients who were initiated on tralokinumab in ECZTRA 1 and ECZTRA 2, of whom 523 patients opted to continue in ECZTEND, were analyzed. Percentages of patients who had H&N EASI ≤ 1 increased from 12.2% at parent trial baseline to 87.2% by week 152 of ECZTEND. Improvements in EASI subscore outcomes from parent trial baseline were comparable across body regions throughout all timepoints of the study. At parent trial week 16, H&N EASI was moderately correlated with total DLQI (ρ = 0.47), with the strongest numerical correlations observed for DLQI questions regarding skin discomfort (ρ = 0.43) and embarrassment due to skin (ρ = 0.40). During up to 4 years of treatment, seven tralokinumab-treated patients exhibited paradoxical H&N erythema, five of whom improved to absent or mild H&N EASI erythema with continued tralokinumab treatment. Tralokinumab provided progressive and sustained improvements in H&N AD, with H&N EASI 0/1 observed in nearly 90% of patients treated up to 4 years. Improvements in H&N EASI were similar to improvements observed for other body regions and were associated with improvements in patient quality of life, particularly for skin discomfort and self-consciousness/embarrassment due to skin. NCT03131648 (ECZTRA 1); study start date: 30 May, 2017; primary completion date: 7 August, 2018; study completion date: 10 October, 2019. NCT03160885 (ECZTRA 2); study start date: 12 June, 2017; primary completion date: 4 September, 2019; study completion date: 14 August, 2019. NCT03587805 (ECZTEND); study start date: 18 March, 2018; data cut-off date: 30 April, 2022; primary completion date: 3 July, 2024; study completion date: 3 July, 2024. Tralokinumab is an injectable treatment for atopic dermatitis capable of providing long-term disease control in the head and neck region. Atopic dermatitis (AD) is a chronic skin disease that can affect multiple body areas. Atopic dermatitis occurring in the head and neck region (referred to as H&N AD) can be especially burdensome owing in part to its high visibility. Additionally, H&N AD is challenging to treat and may show a lower clinical response to AD treatments than other body areas. Therefore, there is an increased demand for treatments that provide complete/almost complete skin clearance, especially around the face. Tralokinumab is an injectable medication approved for treating moderate-to-severe AD. It has been shown to improve H&N AD in real-world clinical settings. Here, data from phase III parent trials (ECZTRA 1 and ECZTRA 2) and the long-term extension trial (ECZTEND), funded by LEO Pharma A/S, were used to examine the impact of long-term tralokinumab treatment on H&N AD in adults with moderate-to-severe AD who were treated up to 4 years. We found that the severity of H&N AD, including facial redness (i.e., erythema), improved in patients treated with tralokinumab up to 4 years. These improvements in H&N AD were similar to improvements in other body regions and were associated with improvements in patient quality of life, particularly for skin discomfort and self-consciousness/embarrassment due to skin. Worsening or new facial redness has been sometimes observed with certain AD treatments. Very few tralokinumab-treated patients showed increased redness specific to the H&N region compared with other body sites. Most of these cases resolved with continued treatment. Overall, these findings show that tralokinumab effectively treats H&N AD.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut 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 enseignants0,023
Score d'incertitude au seuil0,523

Scores Codex et Gemma par catégorie

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

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 Opus0,012
Tête enseignante GPT0,334
Écart entre enseignants0,322 · 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 tête enseignante, 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

Citations17
Publié2025
Routes d'admission1
Résumé présentoui

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