686 - Impact of dupilumab treatment on seasonal disease severity in adults with moderate-to-severe atopic dermatitis
Notice bibliographique
Résumé
Abstract Introduction/Background Seasonal trends in atopic dermatitis (AD)-related healthcare visits vary by geographical location and climate. Changes in temperature, moisture, and allergens contribute to disease fluctuation activities throughout the year. The global, placebo-controlled, 1-year LIBERTY AD CHRONOS study (NCT02260986) offers the opportunity to evaluate AD seasonality and the impact of dupilumab on moderate-to-severe AD in adults regardless of season. Objectives To identify seasonal trends in patient-reported AD severity and frequency of symptoms, and to report the effect of dupilumab treatment in adults with moderate-to-severe AD across seasons. Methods CHRONOS was a randomized, double-blind, phase 3 trial of adults with moderate-to-severe AD.1 Patients were treated with dupilumab 300 mg every week (qw), every two weeks (q2w), or placebo qw, all with concomitant topical corticosteroids (TCS). In this post hoc analysis, the proportion of patients per severity category of Patient-Oriented Eczema Measure (POEM) score (range 0–28) by month was compared between patients receiving dupilumab 300 mg q2w + TCS (n = 79) or placebo qw + TCS (n = 234) for 1 year across 10 countries in the Northern Hemisphere. Improvement in AD was determined as an increase in proportion of patients with mild and clear POEM scores (≤7). Meteorological seasons were defined as winter (December 1 – February 28/29), spring (March 1 – May 31), summer (June 1 – August 31), and fall (September 1 – November 30). Sensitivity analyses confirmed that season of enrollment was balanced across treatment arms and disease seasonality was independent of treatment length. P values are based on Chi-Square tests or Monte Carlo simulations of the Exact Test, based on sample size. All P values are nominal, and no adjustments have been made for multiple testing. Data are presented as observed. Results The proportion of patients in both treatment arms with mild and clear POEM scores (≤7) was lowest in spring months (March: 13% vs 24%; April: 10% vs 23%; May: 20% vs 44%; placebo vs dupilumab). The proportion of patients with mild and clear POEM scores was increased through summer (June: 21% vs 54%; July: 24% vs 58%; August: 29% vs 53%; placebo vs dupilumab) and fall (September: 27% vs 62%; October: 23% vs 58%; November: 21% vs 63%; placebo vs dupilumab), before beginning to decline in winter (December: 21% vs 56%; January: 16% vs 46%; February: 15% vs 41%; placebo vs dupilumab). Overall, POEM scores indicated significantly better outcomes for patients receiving dupilumab treatment vs placebo throughout the year (overall P < 0.01 for all 12 months). Conclusions Across the Northern Hemisphere, patient-reported disease severity in adults with moderate-to-severe AD was greatest in the spring months. Adults with moderate-to-severe AD receiving dupilumab treatment reported improvement in frequency of disease symptoms across all seasons compared to patients receiving placebo treatment.
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 | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
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.
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 ».