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Record W4385264427 · doi:10.1111/all.15821

Real‐life evaluation of tolerance to foods with precautionary allergen labeling in children with <scp>IgE</scp>‐mediated food allergy

2023· letter· en· W4385264427 on OpenAlexafffundabout
François Graham, Avigael H. Benhamou, Yan Jiao Liu, Jean‐Christoph Caubet, Philippe Eigenmann

Bibliographic record

VenueAllergy · 2023
Typeletter
Languageen
FieldMedicine
TopicFood Allergy and Anaphylaxis Research
Canadian institutionsCentre Hospitalier de l’Université de MontréalCentre Hospitalier Universitaire Sainte-Justine
FundersFonds de Recherche du Québec - Santé
KeywordsFood allergyAllergenAllergyFood allergensImmunoglobulin EImmunologyMedicineEgg allergyFood scienceChemistryAntibody

Abstract

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Precautionary allergen labeling (PAL) statements on packaged food products such as “may contain” are confusing and are ignored by up to 40% of consumers with food allergies.1, 2 However, there is very little real-life data assessing the risk of introducing PAL foods in the community.3, 4 The aim of our study was to assess the real-life risk of reacting to foods with PAL in children with IgE-mediated food allergy regularly ingesting these foods. Children with a physician-confirmed diagnosis of food allergy were recruited at the pediatric allergy unit of the Geneva University Hospitals between 2018 and 2021. Individuals and their caregivers were invited to fill out a survey on PAL (Table S1) during a regular clinical visit. They were eligible if they were 2–18 years of age, had a confirmed IgE-mediated allergy to at least one food (peanut, tree nuts, sesame, soy, wheat, egg, and milk), and were eating foods with PALs on a regular basis (see Online Supplementary file). A total of 100 patients were included. Demographic characteristics of the 100 survey respondents are presented in Table 1. The median age at the time of survey was 6 years old. Peanut allergy was the most common diagnosis (58%) followed by cashew (52%) and hazelnut (42%). Most patients (76%) had multiple food allergies with a median number of three. The median age of the first food allergy diagnosis was 1.6 years and patients had been living for a median of 4.3 years with food allergy at the time of the survey. The median food specific IgE for each allergen is listed in Table S2. A total of 75 oral food challenges (OFCs) were performed in 60 patients at diagnosis. All OFCs were positive with a median reaction severity grade of 2 according to the scale by Sampson (range 1–4).5 The median cumulative reactive dose (CRD) for all allergens combined was 430 mg of protein (Table S3 for CRD per allergen). The main survey findings are presented in Table 2. The majority of children ate foods with PALs two to five times a week (57%), and a large number every day (28%). Out of the 100 respondents, only 18 individuals (18%) had a previous reaction to foods with PALs. The majority of reactors (61%) had two to five previous reactions. Chocolates, cookies and cakes with PAL were the top three culprits, with chocolate being responsible for the most severe reaction in the majority (n = 9, 50%). Most reactions occurred within 10 min after two to five bites of food intake. The reactions were all mild with skin and/or digestive symptoms. The majority of the reactions were treated with second-generation antihistamines or required no treatment at all. None required emergency room visit or the use of epinephrine auto-injector. The risk of reacting to foods with PAL was not influenced by gender, age, atopic background, and type of food allergy. The median sIgE was slightly higher in reactors (6.92 kU/L) compared to nonreactors (4.23 kU/L) but this was not statistically significant (NS). The OFC CRD was slightly lower in reactors (419.5 mg of protein) compared to nonreactors (535.5 mg of protein) (NS). In this cohort of children with confirmed IgE-mediated food allergy, the majority did not report any reaction to foods with PAL (82%), and for those who did, the reactions were rare and mild. Of interest, patients in this study had a relatively high median reactivity threshold close to the ED50 (population eliciting dose expected to trigger an allergic reaction in 50% of allergic subjects) or above for many allergens,6 which might explain the high level of tolerance to these foods. One patient in five (18%) did however react to these foods at least on one occasion in the past, which seems a relatively high figure when compared to previous published reports,3, 4 although not directly comparable. There was no significant association between allergic reactions to PAL foods and reactivity threshold on OFC suggesting that heterogeneous particulate contamination might be involved and/or that cofactors might influence reactivity threshold in some circumstances.7 There is a growing interest in considering alternatives to strict allergen avoidance and encouraging an individualized management approach to PAL based on reactivity threshold, thus allowing ingestion of foods with PAL in some patients with food allergy.8, 9 One approach to risk stratification might involve performing a single-dose OFC as a decision point to allow PAL-containing foods.9, 10 However, determining the challenge dosage is challenging due to the significant protein content variation in PAL-containing foods and the heterogeneity of population eliciting doses by allergen.6, 11 This underscores the importance of standardizing PAL at both national and international levels. The strengths of the study include a well-characterized cohort of patients followed at the pediatric allergy unit of the Geneva University Hospitals with confirmed IgE-mediated food allergy, a significant number of whom have undergone OFCs, and with regular exposure to foods with PAL. Limitations include recall bias which might have led to overestimation of self-reported reactions.12 In addition, the population consisted predominantly of patients with nut/peanut/multiples food allergies which might be at higher risk of reacting to these foods. Finally, we cannot exclude that geographical variations in food allergen cross-contamination management practices by the food industry might lead to different reactivity profiles in other countries. All in all, our study demonstrates a reassuring safety profile of PAL food ingestion in a real-world setting and supports the possible introduction of foods with PAL in certain patients with confirmed IgE-mediated food allergy and high reactivity thresholds. We were not able to isolate characteristics that increased the risk of reacting to these foods. Future larger prospective studies from different centers including heterogeneous food allergy profiles and reactivity thresholds are needed to better characterize the real-world consumers' risk when faced with these products and to better identify the patients that can introduce them safely. This work was supported by the Ulrich Müller-Gierok foundation, Fonds de Recherche Santé Québec (FRQS), Fondation du Centre Hospitalier de l'Université de Montréal (CHUM), and Association des Allergologues et Immunologues du Québec (AAIQ). François Graham contributed to the design of the study, recruitment of patients, the analysis of the results, the drafting of the manuscript and the critical revision of the manuscript. Avigael H. Benhamou contributed to the recruitment of patients, the analysis of the results, and the critical revision of the manuscript. Yan Jiao Liu contributed to the analysis of the results, drafting of the manuscript, and critical revision of the manuscript. Jean-Christoph Caubet contributed to the design of the study, recruitment of patients, the analysis of the results, and the critical revision of the manuscript. Philippe A. Eigenmann contributed to the design of the study, recruitment of patients, the analysis of the results, the drafting of the manuscript and the critical revision of the manuscript. We would like to thank Fabienne Maréchal-Rouiller, RN, and the Geneva Pediatric Research Platform for their kind and efficient help with patient recruitment and data management. Authors have no conflicts of interest to declare pertaining to this manuscript. The data that support the findings of this study are available from the corresponding author upon reasonable request. Supplementary file Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.353
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.036
GPT teacher head0.293
Teacher spread0.257 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations3
Published2023
Admission routes3
Has abstractyes

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