Hypersensitivity Pneumonitis Caused by Fungi
Bibliographic record
Abstract
Hypersensitivity pneumonitis (HP) is a complex syndrome caused by an exaggerated immune response to the inhalation of a large variety of organic particles. The most frequent antigens that cause HP worldwide are bird proteins (pigeon breeders' disease) and bacteria (Saccharopolyspora rectivirgula). However, fungi are also implicated in many cases, including occupational and nonoccupational outbreaks. The clinical course of the disease is highly variable and its diagnosis clinically challenging since no specific test or biomarker allows a consistent diagnosis. Therefore, a combination of symptoms, bronchoalveolar lavage findings, chest imaging, lab tests, and often biopsies are needed for an accurate diagnosis. Regardless of the cause or the responsible environment, the histopathology is similar and usually consists of a granulomatous interstitial bronchiolocentric pneumonitis characterized by the presence of poorly formed granulomas and a prominent interstitial infiltrate composed of lymphocytes, plasma cells, and macrophages. However, some patients may show a "nonspecific interstitial pneumonia" pattern, or even a usual interstitial pneumonia-like pattern. Importantly, patients with chronic HP may evolve to interstitial fibrosis or develop emphysematous changes, although the reason(s) for these different pathological responses are presently unclear. This review provides a general overview of HP, emphasizing its fungal etiologies, and also examines the currently used clinical criteria for diagnosis and proposes an alternative classification. Challenges for future research include identification of biomarkers that may predict outcome and progression (primarily of chronic HP), and the need for a better understanding of the underlying molecular and genetic mechanisms of the disease.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".