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Record W1961598353

Diffuse alveolar haemorrhage and pneumomediastinum after hypoglycaemic seizure

2013· article· en· W1961598353 on OpenAlexaff
A. Dechant, Kerri A. Johannson

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicRestraint-Related Deaths
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicinePneumomediastinumBronchoalveolar lavageLungEtiologyDiffuse alveolar hemorrhageSurgeryRadiologyPathologyInternal medicineComplication
DOInot available

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.606
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.002

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.

Opus teacher head0.005
GPT teacher head0.207
Teacher spread0.202 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2013
Admission routes1
Has abstractyes

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