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Record W4386013368 · doi:10.1016/j.pupt.2023.102245

Relative bioavailability of budesonide/glycopyrrolate/formoterol fumarate triple therapy delivered using next generation propellants with low global warming potential

2023· article· en· W4386013368 on OpenAlexaff
Magnus Aurivillius, Artur Bednarczyk, Marek Kokot, Jonathan Madriaga, Jie Mei, Kathryn Collison, Raulin Surujbally, James Archbell, Vidya Joshi, Michael Gillen

Bibliographic record

VenuePulmonary Pharmacology & Therapeutics · 2023
Typearticle
Languageen
FieldMedicine
TopicInhalation and Respiratory Drug Delivery
Canadian institutionsAstraZeneca (Canada)
Fundersnot available
KeywordsBioequivalenceBudesonideFormoterol FumarateMedicineCmaxGlycopyrrolatePharmacokineticsBioavailabilityCrossover studyPharmacologyFormoterolAnesthesiaInhalationPlacebo

Abstract

fetched live from OpenAlex

The climate crisis poses an immediate threat to human health and well-being, demanding urgent adaptions across sectors, including healthcare. The development of pressurized metered dose inhalers (MDIs) with greater sensitivity to the climate emergency using novel propellants with lower global warming potentials (GWPs), but comparable pharmacokinetic (PK) parameters to currently marketed MDIs, is a vital step toward reducing the impact of healthcare for respiratory disorders on climate change. This study evaluated the relative bioavailabilities of the individual components of a fixed-dose combination of budesonide/glycopyrrolate/formoterol fumarate (BGF) 160/9/4.8 μg per actuation between three different propellant formulations. Healthy male participants (aged 18–60 years) were randomized into a single-blind, three-period, single-dose, single-center, crossover study (NCT04600505). The PK and safety and tolerability profiles of BGF MDI formulated with two novel propellants with low GWP (hydrofluoroolefin-1234ze [HFO]; hydrofluorocarbon-152a [HFC]) were compared with BGF MDI formulated with the propellant used in the currently marketed reference product (hydrofluoroalkane-134a [HFA]). The study included a screening period, three treatment periods (with 3- to 7-day washout periods between each dose), and a follow-up. The primary PK parameters assessed were maximum observed plasma concentration (Cmax), area under the plasma concentration curve (AUC) from time zero extrapolated to infinity (AUCinf), and AUC from time zero to the time of the last quantifiable analyte concentration (AUClast). The study was not powered to statistically demonstrate bioequivalence. Forty-seven participants completed the study, and 24 participants were evaluable for PK assessments. Systemic exposure, based on geometric mean ratios (90% confidence interval), to each BGF component from the test propellants delivered in a standard MDI was comparable with the reference propellant for AUClast (HFO vs. HFA: budesonide, 107.30 [94.53, 121.90]; glycopyrrolate, 106.10 [86.18, 130.60]; formoterol, 98.13 [86.44, 111.40]; HFC vs. HFA: budesonide, 98.80 [84.59, 115.40]; glycopyrrolate, 99.71 [80.84, 123.00]; formoterol, 107.00 [88.82, 128.90]); AUCinf (where evaluable) and Cmax followed the same trend. There were no serious adverse events or adverse events leading to treatment discontinuation. No new safety signals were observed. Systemic BGF component exposure was similar for both test propellants (HFO and HFC) compared with the HFA reference propellant, with an acceptable safety profile in the studied population. Therefore, both novel low GWP propellants show strong potential as candidates for development of MDIs with greater sensitivity to the climate crisis, a vital step toward ameliorating the detrimental impact of healthcare on the environment. Further investigation in larger studies 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)0.000
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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0020.000

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 head0.086
GPT teacher head0.332
Teacher spread0.246 · 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".

Quick stats

Citations8
Published2023
Admission routes1
Has abstractno

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