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Record W3128401982 · doi:10.29390/cjrt-2020-042

An evaluation of temperature stability and resistance in neonatal ventilator circuits

2021· article· en· W3128401982 on OpenAlexvenueno aff
Jennifer Ruppert, Neil L. McNinch, Teresa A Volsko

Bibliographic record

VenueCanadian Journal of Respiratory Therapy · 2021
Typearticle
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsnot available
Fundersnot available
KeywordsTidal volumeVentilation (architecture)Airway resistanceRelative humidityAnesthesiaAirwayEnvironmental scienceMedicineMaterials scienceMathematicsMeteorologyPhysicsInternal medicineRespiratory system

Abstract

fetched live from OpenAlex

Background: Gas conditioning minimizes complications associated with invasive ventilation of neonates.Poorly conditioned gas contributes to humidity deficit, facilitates condensate pools, and contributes to safety events.The specific aim was to objectively quantify the temperature drop across the unheated portion of a neonatal circuit and the impact condensation has to resistance to flow in the ventilator circuit.Methods: Ventilator circuits and filters were obtained, assembled according to manufacturer recommendations, and operational verification procedures were performed prior to data collection.A neonatal test lung was connected to each Servo-I ventilator with the following settings: pressure control IMV mode; inspiratory pressure: 14 cm H 2 O to achieve an exhaled tidal volume of 6.0 mL; PEEP: 5 cm H 2 O; pressure support: 5 cm H 2 O, F I O 2: 0.21; set frequency 40/min; and inspiratory time: 0.4 s.The Fisher and Paykel MR850 and ChonchaTherm Neptune heaters were set at a temperature of 40°C.To evaluate both systems under similar conditions, the ChonchaTherm Neptune heater humidity control was set to midline.Heaters were turned on simultaneously and given 1 h to equilibrate.Readings for room temperature, airway temperature at the patient connection, airway resistance, exhaled tidal volume, and direct observation of circuit condensation and (or) pooling were recorded hourly for a 48-h period.Summary statistics were calculated for the variables of interest.Results: Mean (±SD) air temperature was 26.3°C (±1.4) for the Fisher & Paykel MR850 system and 26.2°C (±1.5), for the ChonchaTherm Neptune system.Mean (±SD) airway resistance was 229.3 cm H 2 O/L/s (±81.0) for the Fisher & Paykel system and 196.2 cm H 2 O/L/s (±39.4) for the ChonchaTherm Neptune system.Mean (±SD) tidal volume for the Fisher & Paykel MR850 system was 6.5 mL (±0.4), and for the ChonchaTherm Neptune system was 7.2 mL (±0.6).Conclusion: Circuit condensate increased tidal volume delivery and airway resistance.Temperature at the patient connection was lower than the temperature monitored by the system 12 inches distally, which can negatively impact gas conditioning.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.088
GPT teacher head0.374
Teacher spread0.286 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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