Characterization of Patients with Ibuprofen Hypersensitivity
Bibliographic record
Abstract
BACKGROUND: Ibuprofen is the most frequently used over-the-counter nonsteroidal anti-inflammatory drug (NSAID) in North America. While it has been commonly implicated in drug-induced hypersensitivity reactions, there is limited literature specifically on ibuprofen hypersensitivity. OBJECTIVES: To characterize the demographics and clinical course of hypersensitivity reactions in a cohort of patients with ibuprofen allergy. METHODS: A retrospective chart review of patients diagnosed with ibuprofen allergy was conducted between 2008 and 2016 in an allergy clinic at a tertiary care academic institution. Demographics and clinical information were obtained, and severity of reactions was assessed by a standardized grading system. RESULTS: A total of 41 patients were included of whom 27 were female. The mean age at first reaction to ibuprofen was 33 ± 13.9 years. The medi an time from the first reaction to the time of diagnosis was 1 year (0-3). The median time from ibuprofen exposure to the onset of symptoms was 30 min (16-101). The median duration of symptoms was 180 min (60-1,440). Urticaria and angioedema were seen in 90% of patients. The reactions were either mild (46%) or moderate (51%) in severity, but 1 patient had severe anaphylaxis. Cross-reactivity to other NSAIDs or acetaminophen was seen and presented with mostly mild reactions. CONCLUSION: In our cohort of patients, ibuprofen hypersensitivity affected females more commonly than males, and presented with mainly cutaneous manifestations. Onset of symptoms was rapid (< 60 min). Reactions typically ranged in severity from mild to moderate although there was a risk of severe anaphylaxis. There was potential cross-reactivity with other NSAIDs or acetaminophen. The results of our study contribute to the understanding of the demographics and clinical course of ibuprofen hypersensitivity reactions.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".