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Record W2891184698 · doi:10.1111/pan.13389

Artificial ventilation during transport: A randomized crossover study of manual resuscitators with comparison to mechanical ventilators in a simulation model

2018· article· en· W2891184698 on OpenAlexaff
Malcolm J. Lucy, Jonathan Gamble, Andrew Peeling, Jimmy T.H. Lam, Lloyd Balbuena

Bibliographic record

VenuePediatric Anesthesia · 2018
Typearticle
Languageen
FieldMedicine
TopicCardiac Arrest and Resuscitation
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsMedicineAnesthesiaMean airway pressurePeak inspiratory pressureVentilation (architecture)AirwayMechanical ventilatorMechanical ventilationCrossover studyResuscitationTidal volumeRespiratory systemInternal medicineMechanical engineering

Abstract

fetched live from OpenAlex

Abstract Background Positive‐pressure ventilation in critically ill patients is commonly administered via a manual resuscitation device or a mechanical ventilator during transport. Our group previously compared delivered ventilation parameters between a self‐inflating resuscitator and a flow‐inflating resuscitator during simulated in‐hospital pediatric transport. However, unequal group access to inline pressure manometry may have biased our results. In this study, we examined the performance of the self‐inflating resuscitator and the flow‐inflating resuscitator, both equipped with inline manometry, and several mechanical ventilators to deliver prescribed ventilation parameters during simulated pediatric transport. Methods Thirty anesthesia providers were randomized to initial resuscitator device used to hand ventilate a test lung. The resuscitators studied were a Jackson‐Rees circuit (flow‐inflating resuscitator) or a Laerdal pediatric silicone resuscitator (self‐inflating resuscitator), both employing manometers. The scenario was repeated using several mechanical transport ventilators (Hamilton‐T1, LTV ® 1000, and LTV ® 1200). The primary outcome was the proportion of total breaths delivered within the predefined target PIP / PEEP range (30 ± 3, 10 ± 3 cm H 2 O). Results The Hamilton‐T1 outperformed the other ventilators for breaths in the recommended range (χ 2 = 2284, df = 2, P < .001) and with no breaths in the unacceptable range (χ 2 = 2333, df = 2, P < .001). Hamilton‐T1 also outperformed all human providers in proportion of delivered acceptable and unacceptable breaths (χ 2 = 4540, df = 3, P < .001 and χ 2 = 639, df = 3, P < .001, respectively). Compared with the flow‐inflating resuscitator, the self‐inflating resuscitator was associated with greater odds of breaths falling outside the recommended range (Odds ratio (95% CI ): 1.81 (1.51‐2.17)) or unacceptable (Odds ratio (95% CI ): 1.63 (1.48‐1.81)). Conclusion This study demonstrates that a majority of breaths delivered by manual resuscitation device fall outside of target range regardless of provider experience or device type. The mechanical ventilator (Hamilton‐T1) outperforms the other positive‐pressure ventilation methods with respect to delivery of important ventilation parameters. In contrast, 100% of breaths delivered by the LTV 1200 were deemed unacceptable.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.205
Threshold uncertainty score0.556

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.017
GPT teacher head0.312
Teacher spread0.296 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations10
Published2018
Admission routes1
Has abstractyes

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