Updates on early peanut introduction and prevention of peanut allergy
Notice bibliographique
Résumé
Peanut allergy is estimated to affect 1% to 3% of the population (1) and its prevalence has substantially increased in the past 10 to 15 years (2). It is the leading cause of anaphylaxis and death related to food allergy (3). Recent studies have explored the relationship between dietary introduction and prevention of peanut allergy. In 2008, the American Academy of Pediatrics retracted previous recommendations, and concluded that there was no convincing evidence for early food avoidance to prevent development of allergy (4). In 2011, the Canadian Paediatric Society issued a joint position statement (5) with the Canadian Society of Allergy and Clinical Immunology (CSACI) with a recommendation to not delay introduction of solid food beyond 6 months while active introduction at 4 to 6 months of age is ‘still under investigation’. A landmark UK study, Learning Early About Peanut Allergy (LEAP) (6), investigated whether early introduction of peanut-based products prevented allergy in high-risk infants. A total of 640 infants (4 to 11 months) with severe eczema, egg allergy or both were stratified to cohorts based on pre-existing sensitization assessed using skin prick test (SPT): 542 non-sensitized (0 mm wheal) and 98 sensitized (1 mm to 4 mm wheal). Seventy-six infants with SPT wheal greater than 4 mm were excluded due to perceived higher likelihood of reactions. This was a key limitation of the study. The two groups were randomized to regularly consume or completely avoid peanut products until 60 months of age, when peanut allergy was determined using an oral challenge with peanut protein. The prevalence of peanut allergy showed a striking difference of 17% in the avoidance group compared with 3% in the consumption group, with a corresponding number needed to treat of 7.1, intention-to-treat analysis. This effect was demonstrated in both the non-sensitized group (primary prevention) as well as the sensitized group (secondary prevention). The LEAP study is the first prospective, randomized trial that clearly demonstrates early introduction reduces the risk of peanut allergy. The LEAP ON study further demonstrates that peanut allergy prevention persists after a 1-year period of regular consumption in the same cohort (7). An interim consensus statement from nine international allergy societies was issued to highlight the potential benefits (8). It supports dietary introduction of peanut products in high-risk infants between 4 and 11 months of age (level 1 evidence). It also recommends health care providers to consider evaluation by allergists, who can offer oral challenges, in infants with early-onset allergic diseases before initiating peanut introduction. In 2017, a National Institute of Allergy and Infectious Diseases-sponsored expert panel published addendum guidelines (9) specifically for peanut allergy prevention incorporating data from emerging studies (6,7,10). For infants with severe eczema, egg allergy or both, it recommends evaluation by SPT, peanut specific IgE (sIgE) or both prior to peanut introduction at 4 to 6 months. The CSACI endorsed these recommendations (11) and emphasized that peanuts can be introduced at home for the majority of infants, including those with mild to moderate eczema. Also, it addressed several concerns including discrepancy in defining ‘severe eczema’, peanut sIgE testing by non-allergist physicians and timely assessment of infants by subspecialty allergists. Changing the culture from ‘not delay’ to ‘active introduction’ for primary prevention is vital in the setting of increasing peanut allergy. However, health care resources must be ready to accommodate these applications, especially the increasing need for evaluation by an allergist in the large number of high-risk infants at an early age. Further research is required to address the optimum dose, frequency and duration of ingestion to prevent allergy; the prevalence of allergy after cessation of regular consumption; and applications to other allergenic foods. For high-risk infants, early feeding at 4 to 6 months after medical assessment can be an effective intervention in primary prevention of peanut allergy. For non-high-risk infants, delayed introduction beyond 6 months is not recommended.
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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 | 0,005 | 0,031 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,003 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,004 | 0,006 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,026 | 0,006 |
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 ».