Success and safety of neonatal endotracheal tube exchanges: a NEAR4NEOS multicentre retrospective cohort study
Bibliographic record
Abstract
OBJECTIVES: To compare success and safety of endotracheal tube (ETT) exchanges with primary intubations and identify factors associated with ETT exchange outcomes. DESIGN: Retrospective observational study of prospectively collected National Emergency Airway Registry for Neonates data. ETT exchanges are the placement of a new ETT when one is already in place, whereas primary intubations do not have a pre-existing ETT. The primary outcome was first-attempt success. Secondary outcomes included number of attempts, adverse tracheal intubation-associated events (TIAEs), severe TIAEs, desaturation and bradycardia. Descriptive statistics compared characteristics for ETT exchanges and primary intubations. Univariable and multivariable analyses compared primary and secondary outcomes and identified factors independently associated with ETT exchange outcomes. RESULTS: A total of 1572 ETT exchanges and 9999 primary intubations across 21 sites were included from October 2014 to September 2022. ETT exchanges represented 2.3%-31.2% (mean 13.6%) of intubations across sites. Patient, provider and practice characteristics varied significantly between ETT exchanges and primary intubations. In univariable analyses, ETT exchanges were associated with higher first-attempt success (70.5% vs 53.6%; p<0.001) and fewer safety events. In multivariable analyses, ETT exchanges were associated with an increased adjusted OR (aOR) of first-attempt success (1.71; 95% CI 1.57 to 1.86; p<0.001). ETT exchanges were associated with lower aOR of all safety outcomes except severe TIAEs. Factors independently associated with ETT exchange first-attempt success included video laryngoscopy and paralytic premedication. CONCLUSION: Compared with primary intubations, ETT exchanges were associated with higher first-attempt success and fewer safety events. Video laryngoscope and paralytic premedication were associated with improved ETT exchange outcomes.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 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 | 0.000 |
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".