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Record W7135075860 · doi:10.4187/respcare.20233950321

Performance Evaluation of Four Models of Small Volume Nebulizer

2023· article· en· W7135075860 on OpenAlexaff
Daniel F Fisher, Cathy Doyle, Rubina Ali

Bibliographic record

VenueRespiratory Care · 2023
Typearticle
Languageen
FieldMedicine
TopicInhalation and Respiratory Drug Delivery
Canadian institutionsTrudell Medical International (Canada)
Fundersnot available
KeywordsNebulizerMouthpieceAerosolJet (fluid)Ventilation (architecture)Breathing

Abstract

fetched live from OpenAlex

Background: Various improvements have been made to the basic jet nebulizer design with the intent of delivering more medication to the distal airways while still providing aerosol within the respirable range of 3 – 5 μm. The design changes can be one of three categories; breath enhanced, breath actuated, and breath enhanced and breath actuated. With breath enhancement, air is entrained into the nebulizer as the patient inspires providing greater inspiratory flow, breath-actuated nebulizers generate aerosol when inspiratory efforts are sensed by the nebulizer and cease upon expiration. Breath enhanced nebulizers entrain air to provide extra flow, while breath actuated only aerosolize when triggered by inspiration. The aim of the enhancements is to increase drug deposition within the lung, this can be done by increasing aerosol output and maintaining the majority of particles generated to be within the respirable range. Methods: Four different nebulizers were evaluated each representing a specific design; a breath-actuated (Aeromist) a breath-enhanced (Respironics Sidestream), a breath-actuated and breath-enhanced (Aeroeclipse II), as well as a standard jet nebulizer (Misty Max). Each nebulizer was loaded with 3 mL of 2.5 mg albuterol sulfate solution. The mouthpiece of the nebulizer was connected inline to a spontaneous breathing servo lung model (ASL 5000) using the following settings: VT 500 mL, breathing frequency 10 breaths/min, I:E 1:2. A filter was positioned between the test lung and the nebulizer to capture inspired aerosol. The filter was changed every minute and output was determined using HPLC. Parallel measurements of fine droplet fraction (FDF <4.7μm) were made with each nebulizer using a laser diffractometer. Fine droplet mass was determined as the product of recovered mass and FDF <4.7μm. Results: Five new nebulizers were tested for each design. All values were significant for both Aeromist and the AeroEclipse II (P < .01). The Sidestream and Misty Max performed similarly (P > .05). There was no significant difference in environmental medication loss with longer run time, (P > .99), but significant loss when compared with shorter run times (P < .01). Conclusions: Enhancements to jet nebulizers which allow for increased inspired flow and limiting the cycle for aerosol generation have a positive influence on both delivered medication and particle size fraction delivered to the patient. The devices which had the shortest run times experienced the greatest environmental loss of medication.Table 1.NebulizerAvg Run Time ± SD (sec)Sputter ± SD (sec)Rec Mass ± SD(μg)Fine Droplet Mass < 4.7 (μm)Aeromist780 ± 0693.2 ± 7.12095.1 ± 109.6452.0 ± 35.5AE II BAN540 ± 60458 ± 69.52369.4 ± 67.5714.6 ± 80.6Sidestream360 ± 0265 ± 3.651506.2 ± 45.8216.9 ± 10.5Misty Max360 ± 0287 ± 8.661886.9 ± 110.3262.5 ± 20.3

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.329
Threshold uncertainty score0.419

Codex and Gemma teacher scores by category

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 science0.0000.000
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 head0.109
GPT teacher head0.311
Teacher spread0.201 · 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 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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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