Acquired Subglottic Cysts in Preterm Infants
Bibliographic record
Abstract
OBJECTIVES: Acquired subglottic cysts (SGCs) are a recognized complication of intubation in preterm infants. A brief window of our experience is reviewed to determine the demographics and outcomes of therapy. DESIGN: A retrospective review encompassing patients diagnosed and treated from 2001 to 2002 inclusively. SETTING/METHODS: A case series of 11 patients evaluated at a tertiary care pediatric institution over a 2-year period is presented. RESULTS: Eleven patients evaluated for symptoms of severe airway distress were diagnosed with SGC by microlaryngoscopy and bronchoscopy. All had a history of prematurity with intubation in the perinatal period. All but one became symptomatic many months following intubation. Two patients presented for assessment with tracheotomies, whereas a third received a tracheotomy during therapy owing to a large obstructive bilateral SGC. Large unilateral SGCs were the most common finding on endoscopy. Treatment consisted of cyst marsupialization or direct excision on laryngotracheoplasty. Twenty-six procedures were performed. Four patients required single procedures for complete resolution of symptoms. Two patients had staged procedures with the use of endoscopic diathermy. An element of subglottic stenosis was present in 10 of the 11 patients; however, only 3 patients required laryngotracheoplasty for definitive treatment. CONCLUSION: SGCs are associated with intubation in premature infants and may develop many months following extubation. The duration of intubation does not appear to be a predictive risk factor. Subglottic stenosis is commonly an underlying finding in patients with SGC. Staging procedures with endoscopic diathermy is a highly effective modality, minimizing the need for more invasive procedures.
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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".