Surgical Management of Congenital Nasal Pyriform Aperture Stenosis: A Case Report
Bibliographic record
Abstract
Congenital nasal pyriform aperture stenosis (CNPAS) is a rare cause of respiratory distress in newborns. This paper reports a case of severe CNPAS that required endotracheal intubation immediately after birth, and eventually, surgical intervention. At birth, the width of the pyriform aperture was only 4 mm, and the patient was completely unable to breathe through his nose. We performed tracheostomy at 23 days of age and waited for the patient to grow, but at 56 days of age, the width of the pyriform aperture was not sufficient (6 mm) for the patient to breathe through his nose. Therefore, surgical dilation of the pyriform aperture by a sublabial approach was performed on day 79 after birth, and the width was increased to 14 mm. Postoperative stent placement was performed for two weeks. After the removal of the stents, the patient could finally breathe through his nose, and the postoperative course was uneventful, with no restenosis after four months. CNPAS is a rare cause of nasal obstruction, but it can cause respiratory distress in infants because they are dependent on nasal breathing. Conservative treatments are initially recommended for CNPAS; however, in severe cases where conservative treatments are ineffective, surgical treatment is recommended.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".