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Enregistrement W4402665740 · doi:10.1111/all.16321

An algorithm for the diagnosis and management of IgE‐mediated food allergy, 2024 update

2024· article· en· W4402665740 sur OpenAlexaff
Alexandra F. Santos, Carmen Riggioni, George Du Toit, Isabel Skypala

Notice bibliographique

RevueAllergy · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueFood Allergy and Anaphylaxis Research
Établissements canadiensSickKids FoundationUniversity of Toronto
Organismes subventionnairesNational Institutes of HealthBiotechnology and Biological Sciences Research CouncilRosetrees TrustKing's College LondonAsthma and Lung UKNational Institute for Health and Care ResearchNational Institute of Allergy and Infectious DiseasesFood Allergy Research and EducationAllergy TherapeuticsMedical Research CouncilImmune Tolerance Network
Mots-clésImmunoglobulin EAllergyFood allergyMedicineImmunologyAlgorithmComputer scienceAntibody

Résumé

récupéré en direct d'OpenAlex

The European Academy of Allergy and Clinical Immunology (EAACI) recently launched their updated Clinical Guidelines for the Diagnosis and Management of IgE-mediated Food Allergy, which provide evidence-based recommendations for the practicing clinician seeing children and/or adults with suspected IgE-mediated food allergy.1 This medical algorithm aims to summarize the practical approach to individual patients considering both diagnosis (Figure 1) and management (Figure 2), following EAACI recommendations. The first and most valuable step to reaching an accurate diagnosis is a well-conducted detailed allergy-focused clinical history, including dietary history. Key questions are listed in the Clinical Guidelines.1 It is important to ascertain, for each main allergenic food (e.g., cow's milk, egg, wheat, soya, fish, shellfish, peanut, tree nuts, sesame, legumes, fruits, and vegetables), whether these foods are consumed and whether there have been any possible allergic reactions. For foods that the patient is consuming regularly (i.e. weekly), in age-appropriate portion sizes, allergy testing should not be conducted. For foods to which the patient has or may have reacted to and to which there is epidemiological evidence for possible food allergy risk and there is opportunity for intervention (e.g., infant with early onset severe eczema who has reacted to egg and has not yet introduced peanut in the diet), IgE sensitisation should be investigated using skin prick test (SPT) to allergen extracts or the fresh food (especially important for fruits, vegetables, legumes and uncommon foods) or specific IgE (sIgE) to allergen extract. In the equivocal cases, for instance in the absence of a history of exposure and low test results, an OFC is deemed necessary. The systematic review supporting the new EAACI guidelines includes multiple meta-analyses of diagnostic accuracy of multiple allergy tests to many foods, including SPT, sIgE to allergen extracts, sIgE to allergen components and the basophil activation test (BAT).2 For instance, it included meta-analyses of diagnostic accuracy of optimal cutoffs, as reported by the study authors; commonly used cutoffs; cutoffs for maximal sensitivity; cutoffs for maximal sensitivity, and also meta-analyses comparing the diagnostic accuracy of various tests for a given food allergy, by age group and geographical location. These data provide the clinician with many tools they can consult and consider adopting if relevant to the clinical context of their practice. A clear history of IgE-mediated symptoms minutes after exposure to a specific food, together with evidence of significant IgE sensitisation to that food, confirms the diagnosis of IgE-mediated food allergy. Conversely, the absence of such a history and lack of IgE sensitisation excludes the diagnosis. However, if the history is unclear, levels of sensitisation are low or the history is not supported by the allergy tests in any other way, more tests need to be performed. Additional tests include IgE to individual allergens that are known to have high specificity (so-called “informative components”), for instance Ara h 2 from peanut, Cor a 14 from hazelnut and Ana o 3 from cashew; and the BAT (meta-analyses were performed for BAT to peanut and sesame and the results were supportive of its use, if available). If IgE to the informative component is significant and/or BAT is positive to the allergen, food allergy is confirmed. If not, an oral food challenge is required to confirm or exclude food allergy diagnosis. Once the diagnosis of IgE-mediated food allergy is confirmed, reassessment of sensitisation status periodically should be undertaken to assess for possible resolution of food allergy. This is more likely in young children, allergic to foods such as cow's milk, egg, wheat and soya, with low level sensitisation at diagnosis. Once food allergy is confirmed, dietary advice needs to be provided, including avoidance of the culprit food or food form and continued consumption of tolerated foods (that often individuals or families unnecessarily avoid after an index allergic reaction). Clinical practice has evolved from strict avoidance to active management of food allergy; thus, when certain forms of the food are tolerated (e.g., baked milk, egg or soya in children allergic to nonbaked forms of these foods or cooked fruits and vegetables in patients with pollen-food syndrome), its consumption is encouraged to broaden the diet. Individualized dietary advice is important, ideally supported by a specialised dietitian, to ensure optimal nutrition and growth (in children). A written treatment plan for eventual allergic reactions resulting from accidental exposure to the allergen is essential. In most cases, this includes oral nonsedative antihistamine (such as cetirizine or loratadine). In some scenarios, adrenaline auto-injectors (AAI) need to be prescribed (see table in Figure 2), ideally two devices per patient.3 In patients with asthma or recurrent wheeze, a salbutamol inhaler should also be part of the treatment pack. Patients and families need to be trained on the recognition of allergic reactions and the use of AAI, which should be reinforced at every follow up visit. Some patients and families may need support to cope with anxiety and changes to their lifestyle imposed by food allergies and allergen avoidance, and an appropriate referral to trained health care professionals, such as clinical psychologists, is desirable. Finally, for selected patients, immunomodulatory treatments may be indicated. Recent evidence has emerged supporting the licensing of omalizumab for IgE-mediated food allergy by the FDA, from 1 year of age.4 This is particularly suitable for patients with multiple food allergies as the treatment targets IgE irrespective of allergen specificity and, therefore, is allergen-agnostic. For children and adolescents with peanut allergy, peanut immunotherapy delivered by oral, sublingual or epicutaneous routes has been recommended, if available.5 For egg and cow's milk allergies, only oral immunotherapy has collected enough evidence to warrant recommendation, for teenagers and children, generally older than 4 years age, when the chances of natural resolution are lower. Recent studies suggest that young children have greater response rates to allergen-specific immunotherapy and may present with additional opportunities for a truly disease-modifying treatment. Of note, Palforzia has recently been approved for use from 1 year of age. There was insufficient evidence to support the use of allergen-specific immunotherapy for treatment of food allergy in adults.6 The absence of good quality evidence for multi-food OIT and allergen immunotherapy to foods other than peanut, cow's milk or egg precluded the elaboration of active recommendations for these interventions. In conclusion, an accurate diagnosis of food allergy is extremely important to avoid unnecessary dietary restrictions and identify the culprit food so that appropriate management can be implemented. This ensures dietary adequacy, prevention and appropriate treatment of accidental allergic reactions and a holistic approach to patients and families to allow them to live life fully, minimising restrictions to their lifestyle and their wellbeing. We would like to thank all expert group members for their valuable contribution to the EAACI Guidelines on Diagnosis and Management of IgE-mediated Food Allergy, and Jeanette Kobler and colleagues from the EAACI headquarters team, for logistical and administrative support. A.F. Santos reports grants from Medical Research Council (MR/M008517/1; MC/PC/18052; MR/T032081/1), Food Allergy Research and Education (FARE), the Immune Tolerance Network/National Institute of Allergy and Infectious Diseases (NIAID, NIH), Asthma UK (AUK-BC-2015-01), BBSRC, Rosetrees Trust and the NIHR through the Biomedical Research Centre (BRC) award to Guy's and St Thomas' NHS Foundation Trust, during the conduct of the study; personal fees from Thermo Scientific, Nutricia, Infomed, Novartis, Allergy Therapeutics, Buhlmann, as well as research support from Buhlmann and Thermo Fisher Scientific through a collaboration agreement with King's College London.

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)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,916
Score d'incertitude au seuil0,484

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
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 Opus0,028
Tête enseignante GPT0,314
Écart entre enseignants0,287 · 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'étudeSans objet
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

Citations10
Publié2024
Routes d'admission1
Résumé présentoui

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