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 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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".