Assessment of Ventilation Using Adult and Pediatric Manual Resuscitators in a Simulated Adult Patient
Bibliographic record
Abstract
BACKGROUND: The bag-valve-mask (BVM) or manual resuscitator bag is used as a first-line technique to ventilate patients with respiratory failure. Volume-restricted manual resuscitator bags (eg, pediatric bags) have been suggested to minimize overventilation and associated complications. There are studies that both support and caution against the use of a pediatric resuscitator bag to ventilate an adult patient. In this study, we evaluated the ability of pre-hospital clinicians to adequately ventilate an adult manikin with both an adult- and pediatric-size manual resuscitator bag without the assistance of an advanced airway or airway adjunct device. METHODS: This study was conducted at an international conference in 2022. Conference attendees with pre-hospital health care experience were recruited to ventilate an adult manikin using a BVM for 1 min with both an adult and pediatric resuscitator bag, without the use of adjunct airway devices, while 6 ventilatory variables were collected or calculated: tidal volume (V T ), breathing frequency, adequate breaths (V T > 150 mL), proportion of adequate breaths, peak inspiratory pressure (PIP), and estimated alveolar ventilation (EAV). RESULTS: A total of 208 participants completed the study. Ventilation with the adult-sized BVM delivered an average V T of 290.4 mL compared to 197.1 mL ( P < .001) when using the pediatric BVM. PIP with the adult BVM was higher than with the pediatric BVM (10.6 cm H 2 O vs 8.6 cm H 2 O, P < .001). The median EAV with the adult bag (1,138.1 [interquartile range [IQR] 194.0–2,869.9] mL/min) was markedly greater than with the pediatric BVM (67.7 [IQR 0–467.3] mL/min, P < .001). CONCLUSIONS: Both pediatric- and adult-sized BVM provided lower ventilation volumes than those recommended by professional guidelines for an adult. Ventilation with the pediatric BVM was significantly worse than with the adult bag when ventilating a simulated adult subject.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".