Multidisciplinary perinatal management of the compromised airway on placental support: lessons learned
Bibliographic record
Abstract
OBJECTIVE: The aims of this study were to review fetal and maternal outcomes after management of the compromised perinatal airway via operation on placental support or ex utero intrapartum treatment and to discuss implications for future management of these complex and rare cases. METHODS: We have presented a retrospective case series of 12 neonates requiring airway management on placental support at a single tertiary care, academic center. RESULTS: One mother experienced significant blood loss. Operative recovery times were unremarkable. Eight neonates required airway management due to mass obstruction, two for removal of an endotracheal balloon for fetoscopic treatment of congenital diaphragmatic hernia, one for laryngeal atresia, and one for severe retrognathia. One of our series is an unusual case of management on placental support after vaginal delivery. Another child would have ideally been managed on placental support, but an extremely short umbilical cord prevented this. Even though the airway was secured in all 12 cases, five neonates died in the perinatal period. CONCLUSIONS: These procedures have a risk for substantial maternal blood loss. Despite excellent rates of success securing the neonatal airway, children who require management on placental support still have high mortality. A formalized multidisciplinary approach at our institution has enhanced preparedness for these cases.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".