Providing PEEP during neonatal resuscitation: Which device is best?
Bibliographic record
Abstract
AIM: The study aims to compare three commonly used neonatal resuscitation devices, the Laerdal self-inflating bag with a positive end expiratory pressure (PEEP) valve, a T-piece resuscitator (T-piece) and a flow-inflating bag to provide peak inflation pressure (PIP) and PEEP. METHODS: Participants were asked to use each device to give positive pressure ventilation to a modified neonatal mannequin via a face mask to achieve 40-60 inflations per minute, aiming for a PIP/PEEP of 30/5 cm H₂O. A manometer was visible to participants with each device. PIP, PEEP, percentage leak at the face mask and expired tidal volume were measured using a hot-wire anemometer. We analysed 20 inflations from each participant for each device. RESULTS: Fifty participants provided PIP and PEEP with each device. The T-piece was the most accurate and consistent. The flow-inflating bag had the most variation. The leak was lowest with the self-inflating bag and PEEP and highest with the flow-inflating bag, but all had wide variation. CONCLUSION: Each device was able to provide PIP and PEEP when used appropriately. When compared with other resuscitation devices, the T-piece provided the most accurate and consistent PIP and PEEP.
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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 | 0.006 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".