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Record W4296498612 · doi:10.1093/pch/21.supp5.e57b

Dry-Powder Inhaler Delivery of Aerosolized Tobramycin with in Vitro Models of Tracheostomized Paediatric Patients

2016· article· en· W4296498612 on OpenAlexaff
W Wee, S Tavernini, A Martin, I Amirav, C Majaesic, Warren H. Finlay

Bibliographic record

VenuePaediatrics & Child Health · 2016
Typearticle
Languageen
FieldMedicine
TopicInhalation and Respiratory Drug Delivery
Canadian institutionsAlberta Hospital Edmonton
Fundersnot available
KeywordsAerosolizationMedicineNebulizerTobramycinDry-powder inhalerInhalerCystic fibrosisAirwayLungAnesthesiaRespiratory tractInhalationRespiratory systemAsthmaPseudomonas aeruginosaInternal medicine

Abstract

fetched live from OpenAlex

Abstract BACKGROUND: Tracheostomies are not uncommon in the pediatric population and are necessary in situations such as long-term cardiorespiratory compromise or fixed airway obstructions. Delivery of aerosolized medication allows for directed therapy to the lungs and is an important component of therapeutic management. However there is surprisingly little literature that quantifies delivery of aerosol medication through tracheostomies. During Pseudomonas aeruginosa respiratory infections, tobramycin is frequently administered using nebulizers, like the PARI LC Plus (LC Plus), which are known to have drawbacks, most notably the time burden. Dry-powder inhalers, like the TOBI Podhaler (Podhaler), can deliverhigher payloads of medication to the airway and in a shorter time. Currently no data exists that evaluates aerosol delivery of drypower inhalers through tracheostomies. OBJECTIVES: The aim of the study is to investigate and quantify the amount of aerosolized tobramycin delivered to the lungs of in vitro trache-ostomized spontaneously breathing pediatric patient models when using the Podhaler in comparison to the current gold-standard, the LC Plus nebulizer. DESIGN/METHODS: In vitro tracheostomized models of a 6- and 12-year old trachea were created. Aerosol was delivered to the tracheos-tomy models with the LC Plus and Podhaler, using their respective breathing patterns. Aerosolized medication was captured on a Respirgard II filter placed at the distal end of the trachea (lung filter), the amount was quantified using a colorimetric tobramycin assay and expressed as a percent charge of emitted dose. Drug trapped on the lung filter represented the amount of aerosol delivered to the respiratory tract. Three devices of each type were tested in triplicate to ensure repeatability. RESULTS: A total of 36 runs (LC Plus: 18, Podhaler: 18) were completed and demonstrated the Podhaler’s consistent outperformance of the LC Plus. The results are expressed as mean ± standard deviation in percent charge (LC Plus vs. Podhaler); all runs (24.1±3.7 vs. 86.6±8.7), 6-year old model (23.2±2.6 vs. 82.1±9.9) and 12-year old (24.1±4.5 vs. 86.6±4.2). The results were statistically significant (P-values <<< 0.01), based on an unpaired t-tests due to unequal variance. CONCLUSION: The study’s findings demonstrate that the Podhaler significantly outperformed the LC plus in delivering tobramycin to in vitro pediatric tracheostomized models. These results can be generalized to the tracheostomized adult population, and suggest that tobramycin delivery using the Podhaler is a feasible option and a future clinical study is warranted.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.012
GPT teacher head0.239
Teacher spread0.227 · 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
Published2016
Admission routes1
Has abstractyes

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