Alveolar capillary dysplasia: a six-year single center experience
Bibliographic record
Abstract
UNLABELLED: Alveolar capillary dysplasia is a fatal disorder of the lung that requires lung biopsy for diagnosis. We reviewed the course of patients with alveolar capillary dysplasia following implementation of an early lung biopsy strategy between 1997-2002. We performed immunohisto-chemical studies on all tissue specimens. We diagnosed 7 cases of alveolar capillary dysplasia. We diagnosed 6/7 cases of alveolar capillary dysplasia pre-mortem by early lung biopsy. Median time between admission and lung biopsy was 6.5 days. All patients survived lung biopsy but died following withdrawal of active therapy after confirmation of the tissue diagnosis. In 1 patient we demonstrated histological findings of alveolar capillary dysplasia and congenital acinar dysplasia. Two patients were first cousins. One patient underwent pulmonary angiography with rapid filling of the pulmonary veins before passage of contrast through the capillary bed. Five patients were supported with extracorporeal membrane oxygenation and 2/5 patients survived decannulation. During the same period 8 patients required ECMO for acute hypoxic respiratory failure. Four out of 8 were diagnosed with alveolar capillary dysplasia. CONCLUSIONS: Early lung biopsy was performed with low risk and high diagnostic yield for alveolar capillary dysplasia. Alveolar capillary dysplasia occurs frequently in neonates who require ECMO support for refractory pulmonary hypertension. We have added an additional familial case and suggest a novel angiographic finding.
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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".