Desquamative Interstitial Pneumonitis in a Healthy Non-Smoker: A Rare Diagnosis
Bibliographic record
Abstract
This article reports a rare condition first described in 1965 and is most commonly associated with smoking and certain occupations. Onset of nonspecific symptoms is typically insidious and, while bloodwork and imaging may be valuable, tissue sampling is required for diagnosis. Desquamative interstitial pneumonitis most commonly affects tobacco smokers in their fourth or fifth decades of life; this article, however, describes the condition in a 27-year-old who worked in a potato chip factory. Desquamative interstitial pneumonitis is an interstitial lung disease most commonly associated with smoking. It causes respiratory symptoms including indolent cough and dyspnea. Characteristic findings on computed tomography include bilateral ground-glass opacities, septal thickening and preserved structure. Diagnosis is made by tissue sampling, which classically demonstrates alveolar macrophages, and thickened alveolar septa with an eosinophilic infiltrate lined with hyperplastic type II pneumocytes. Treatment is immune suppression with steroids or other agents, and avoiding the causal agent. The case reported describes a 27-year-old woman with no smoking history who worked in a potato chip factory, presenting with cough, dyspnea and dizziness. The patient had characteristic findings on imaging and was diagnosed via biopsy with desquamative interstitial pneumonitis. She improved clinically with reduced exposure and steroid therapy. While food production workers are at risk for respiratory illness, there are no reported cases of desquamative interstitial pneumonitis in this setting.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.003 | 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".