Diffuse alveolar haemorrhage and pneumomediastinum after hypoglycaemic seizure
Bibliographic record
Abstract
Diffuse alveolar haemorrhage is a potentially life threatening condition. Given the multitude of possible etiologies and the infrequency with which it is encountered, diffuse alveolar haemorrhage poses a formidable diagnostic challenge. A 29 year old insulin-dependent diabetic man presented to the local emergency department with a 3 hour history of frank haemoptysis after a nocturnal hypoglycaemic seizure. Chest x-ray showed mid-lung predominant bilateral airspace disease. Computed tomography of the chest demonstrated pneumomediastinum and bilateral patchy ground glass opacities in a bronchovascular distribution. Bronchoalveolar lavage of the lingula returned consistently bloody returns with haemosiderin-laden macrophages. Work-up for secondary causes of diffuse alveolar haemorrhage including infection, vasculitides and connective tissue disease were negative and the haemoptysis resolved without any immunosuppressive therapy within 24 hours. Follow-up chest x-ray demonstrated marked interval improvement in the bilateral airspace disease. Previous reports have described post-ictal neurogenic pulmonary oedema but ours is the first description of seizure-induced alveolar haemorrhage with pneumomediastinum. This suggests that this condition may result from high intrathoracic pressures during a seizure leading to barotrauma and subsequent alveolar haemorrhage.
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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 | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".