Food-dependent exercise-induced anaphylaxis to chickpea in a 17-year-old female: a case report
Bibliographic record
Abstract
INTRODUCTION: Food-dependent exercise-induced anaphylaxis is a subtype of anaphylaxis and, although rare, it is an important condition to be familiar with as it can ultimately lead to death. CASE PRESENTATION: We present a case of food-dependent exercise-induced anaphylaxis in a 17-year-old white girl due to chickpea. She had a history of anaphylaxis after eating crackers and hummus before exercising. Skin prick testing and serum-specific immunoglobulin E level confirmed chickpea to be the causative allergen. CONCLUSIONS: This case demonstrates the challenge in identifying specific causative food allergens when foods are eaten in combination, when the food is processed, and when cross-reactivity is possible. These challenges add complexity to a condition that is already rare and unfamiliar to some health care providers. We hope that this case will serve as an important reminder that although rare, food-dependent exercise-induced anaphylaxis exists and making a diagnosis can lead to life-saving preventative strategies. As legumes are not a common food associated with food-dependent exercise-induced anaphylaxis, this will add to our current knowledge base in the field of allergy.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.007 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".