Post hoc analysis examining symptom severity reduction and symptom absence during food challenges in individuals who underwent oral immunotherapy for peanut allergy: results from three trials
Notice bibliographique
Résumé
PURPOSE: ) was demonstrated versus placebo in children and adolescents aged 4 to 17 years in multiple phase 3 trials; continued benefit of PTAH was shown in a follow-on trial. The DBPCFC is a reproducible, rigorous, and clinically meaningful assessment accepted by regulatory authorities to evaluate the level of tolerance as an endpoint for accidental exposures to peanut in real life. It also provides useful clinical and patient-relevant information, including the amount of peanut protein an individual with peanut allergy can consume without experiencing dose-limiting symptoms, severity of symptoms, and organs affected upon ingestion of peanut protein. We explored symptoms of peanut exposure during DBPCFCs from phase 3 and follow-on trials of PTAH to further characterize treatment efficacy from a perspective relevant to patients, caregivers, and clinicians. METHODS: Symptom data recorded during screening and/or exit DBPCFCs from participants aged 4 to 17 years receiving PTAH or placebo were examined post hoc across three PTAH trials (PALISADE [ARC003], ARC004 [PALISADE follow-on], and ARTEMIS [ARC010]). The maximum peanut protein administered as a single dose during DBPCFCs was 1000 mg (PALISADE and ARTEMIS) and 2000 mg (ARC004). Symptoms were classified by system organ class (SOC) and maximum severity. Endpoints were changes in symptom severity and freedom from symptoms (ie, asymptomatic) during DBPCFC. Relative risk (RR) was calculated for symptom severity by SOC and freedom from symptoms between groups; descriptive statistics were used to summarize all other data. RESULTS: The risk of any respiratory (RR 0.42 [0.30-0.60], P < 0.0001), gastrointestinal (RR 0.34 [0.26-0.44], P < 0.0001), cardiovascular/neurological (RR 0.17 [0.08-0.39], P < 0.001), or dermatological (RR 0.33 [0.22-0.50], P < 0.0001) symptoms was significantly lower in participants treated with PTAH versus placebo upon exposure to peanut at the end of the PALISADE trial (ie, exit DBPCFC). Compared with placebo-treated participants (23.4%), the majority (76.3%) of PTAH-treated participants had no symptoms at the exit DBPCFC when tested at the peanut protein dose not tolerated (ie, reactive dose) during the screening DBPCFC. Significantly higher proportions of PTAH-treated participants were asymptomatic at doses ≤ 100 mg in the exit DBPCFC compared with placebo-treated participants (PALISADE: 69.35% vs 12.10%, RR 5.73 [95% confidence interval (CI) 3.55-9.26]; P < 0.0001; ARTEMIS: 67.42% vs 13.95%, RR 4.83 [95% CI 2.28-10.25]; P < 0.0001); findings were similar at peanut protein doses ≤ 1000 mg (PALISADE: RR 15.56 [95% CI 5.05-47.94]; P < 0.0001; ARTEMIS: RR 34.74 [95% CI 2.19-551.03]; P < 0.0001). In ARC004, as the period of PTAH maintenance became longer, greater proportions of participants were asymptomatic at doses of peanut protein ≤ 1000 mg in the exit DBPCFC (from 37.63% after ~ 6 months of maintenance treatment [exit DBPCFC of PALISADE] to 45.54% after ~ 13 months and 58.06% after ~ 20 months of overall PTAH maintenance treatment). CONCLUSIONS: PTAH significantly reduced symptom severity due to exposure to peanut, which is clinically relevant. When exposed to peanut, participants with peanut allergy treated with PTAH rarely had moderate or severe respiratory or cardiovascular/neurological symptoms. Oral immunotherapy with PTAH appears to reduce frequency and severity of allergic reactions in individuals with peanut allergy after accidental exposure to peanut and may enable them and their families to have an improved quality of life. Trial registration ClinicalTrials.gov, NCT02635776, registered 17 December 2015, https://clinicaltrials.gov/ct2/show/NCT02635776?term=AR101&draw=2&rank=7 ; ClinicalTrials.gov, NCT02993107, registered 08 December 2016, https://clinicaltrials.gov/ct2/show/NCT02993107?term=AR101&draw=2&rank=6 ; ClinicalTrials.gov, NCT03201003, registered 22 June 2017, https://clinicaltrials.gov/ct2/show/NCT03201003 ? term = AR101&draw = 2&rank = 9.
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 | 0,013 | 0,012 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,004 | 0,007 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 ».