Safe in the first attempt: teaching neonatal airway management
Bibliographic record
Abstract
PURPOSE OF REVIEW: Quick and precise facemask ventilation and tracheal intubation are critical clinical skills in neonatal airway management. In addition, this vulnerable population requires a thorough understanding of developmental airway anatomy and respiratory physiology to manage and anticipate potential airway mishaps. Neonates have greater oxygen consumption, increased minute ventilation relative to functional residual capacity, and increased closing volumes compared to older children and adults. After a missed airway attempt, this combination can quickly lead to dire consequences, such as cardiac arrest. Keeping neonates safe throughout the first attempt of airway management is key. RECENT FINDINGS: Several techniques and practices have evolved to improve neonatal airway management, including improvement in neonatal airway equipment, provision of passive oxygenation, and closer attention to the management of anesthetic depth. The role of nontechnical skills during airway management is receiving more recognition. SUMMARY: Every neonatal intubation should be considered a critical event. Below we discuss some of the challenges in neonatal airway management, including anatomical and physiological principles which must be understood to approach the airway. We then follow with a description of current evidence for best practices and training.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 teacher head, 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".