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Record W2972068138 · doi:10.4187/respcare.20183025573

Aerosol Delivery With Two Tracheostomy Masks Using a Weighted Filter Model

2018· article· en· W2972068138 on OpenAlexaboutno aff
Tristen Patterson, W. Robert Hudgins, Colbey Skaggs, Brandon Burk, Aaron Light

Bibliographic record

VenueRespiratory Care · 2018
Typearticle
Languageen
FieldMedicine
TopicTracheal and airway disorders
Canadian institutionsnot available
Fundersnot available
KeywordsNebulizerMedicineAerosolAerosolizationAnesthesiaTidal volumeTracheal tubeSalineHypertonic salineRespiratory systemSurgeryInhalationIntubationInternal medicine

Abstract

fetched live from OpenAlex

Background:Patients with respiratory complications requiring further interventions, such as tracheostomies, often also need routine medications as a part of their care plan. Many of these respiratory medications are delivered in aerosol form via small volume nebulization. The purpose of this study is to determine how the SouthMedic Oxytrach mask (Barrie, Ontario, Canada) aerosol delivery compares to the aerosol delivery of the Teleflex Hudson RCI Trach mask (Morrisville, NC). We hypothesized that there will be no difference in aerosol delivery between the Oxytrach mask and the Hudson mask. Methods:An adult model with a Medtronic 8.0 mm Shiley tracheostomy tube (Minneapolis, MN, US) was attached to a Hans Rudolph, Inc. Series 1101 breathing simulator (Shawnee Mission, KS, US) set to achieve a 500 mL tidal volume, with 16 breaths/min, Raw 5.0 cm H2O/L/s, Compliance 80 mL/cm H2O, and 33% IT. A Teleflex Bacterial/Viral Filter (BFE: 99.999+%, VFE: 99.99+%) (Morrisville, NC, US) was placed distal to the tracheostomy tube on the right main stem bronchi of the model and proximal to the breathing simulator with the left main stem bronchi occluded. For each trial, 6 mL of 10% hypertonic saline solution was nebulized via the Vyaire Medical AirLife Misty Fast nebulizer (Mettawa, IL) at 8 L/min for 4 min. A filter was weighed prior to nebulization, the weight was recorded, and the filter was placed in line on the model. In the first three trials, the nebulizer was attached to the Oxytrach mask and after nebulization; the filter was re-weighed and recorded. In the last three trials, the Hudson masks were used. Results:The mean post-nebulization weight of the filters with the Hudson mask was 270 mg. The mean post-nebulization weight of the filters with the Oxytrach mask was 20 mg. There was a statistically significant difference in the amount of aerosol delivery between the two masks (P= .008). Conclusions:Based on the results, it was found that the Hudson mask had significantly more aerosol delivery to the filter than the Oxytrach mask. There was an incidental finding during the nebulization trials with the Oxytrach mask. The mushroom shaped Pin and triangular directional Diffuser inside the Oxytrach mask, when placed on the model, fit directly inside the opening of the tracheostomy tube, causing the potential for airway occlusion.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.037
GPT teacher head0.295
Teacher spread0.258 · 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 designSimulation or modeling
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
Published2018
Admission routes1
Has abstractyes

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