Updating the classification and routine diagnosis of NSAID hypersensitivity reactions: A WAO Statement
Bibliographic record
Abstract
Hypersensitivity reactions to non-steroidal anti-inflammatory drugs (NSAIDs) have been classified as immediate (or acute) and delayed. Immediate reactions can be further classified into 4 clinical types: NSAID-exacerbated respiratory disease (N-ERD), NSAID-exacerbated cutaneous disease (NECD), NSAID-induced urticaria/angioedema (NIUA), and single NSAID-induced urticaria/angioedema/anaphylaxis (SNIUAA). Specifically, the NIUA type references reactions to ≥2 NSAIDs belonging to different chemical groups, involving urticaria and/or angioedema in patients with no underlying chronic spontaneous urticaria. However, there are patients meeting cross-reactive criteria for NIUA phenotype who report reactions that involve 2 organ systems (eg, cutaneous and respiratory; cutaneous and gastrointestinal) and have been termed "blended". In pediatrics, this type of reaction is recognized and has been termed NSAID-induced urticaria/angioedema/anaphylaxis (NIUAA), an acronym we suggest be extended now to adults. There are small subgroups of N-ERD patients who also report skin symptoms and, alternatively, NECD patients who report respiratory symptoms. These 2 subgroups could be diagnosed as having mixed N-ERD and mixed NECD, respectively. In fact, they are patients suffering from N-ERD or NECD who have had reactions consistent with anaphylaxis. In the current classifications of NSAID hypersensitivity, the reactions in which NSAIDs act as aggravating factors or cofactors in subjects with sensitization to foods are not included. Recently, this type of reactions has been defined as NSAID-exacerbated food allergy (NEFA) and NSAID-induced food allergy (NIFA), respectively. This Statement of the World Allergy Organization (WAO) aims to update both the classification of hypersensitivity reactions to NSAIDs and their diagnosis, addressing the novel issues.
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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 | 0.053 | 0.103 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.009 | 0.005 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.008 | 0.010 |
| Open science | 0.007 | 0.008 |
| Research integrity | 0.015 | 0.022 |
| Insufficient payload (model declined to judge) | 0.002 | 0.005 |
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".