Acetaminophen Use: An Unusual Cause of Drug-Induced Pulmonary Eosinophilia
Bibliographic record
Abstract
Pulmonary eosinophilia (PE) can be found in very diverse pathological processes. Several medications have also been associated with this entity. Acetaminophen is a medication commonly used in multiple different drug formulations, many of which are available without a prescription. It has however been associated with pulmonary eosinophilia (eosinophilic pneumonia) in a few cases in Japan. We describe the case of a 68-year-old Caucasian female who presented with new persistent dry cough and dyspnea on exertion after she started using up to 4 grams of acetaminophen on a daily basis. Chest imaging revealed peripheral lower lung zone ground glass and reticular opacities, and increased eosinophils were present on bronchoalveolar lavage (BAL). The patient's symptoms markedly improved upon acetaminophen cessation, and significantly decreased eosinophils were seen on repeat BAL. To our knowledge, this is the first case of likely acetaminophen-induced pulmonary eosinophilia reported outside Japan.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".