Evidence map›Paper›PMID 36678786›Full record

ArticlePharmaceutics2023

In Silico Quantification of Intersubject Variability on Aerosol Deposition in the Oral Airway.

Azadeh A T Borojeni, Wanjun Gu, Bahman Asgharian, Owen Price, Andrew P Kuprat, Rajesh K Singh, Sean Colby, Richard A Corley, Chantal Darquenne

Abstract read
In one paragraph

Article in Pharmaceutics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
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  4. Article
  5. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Azadeh A T BorojeniDepartment of Medicine, University of California, San Diego, CA 92093-0623, USA.
Wanjun GuDepartment of Medicine, University of California, San Diego, CA 92093-0623, USA.
Bahman AsgharianApplied Research Associates, Arlington Division, Raleigh, NC 27615-2963, USA.
Owen PriceApplied Research Associates, Arlington Division, Raleigh, NC 27615-2963, USA.
Andrew P KupratPacific Northwest National Laboratory, Richland, WA 99352, USA.
Rajesh K SinghPacific Northwest National Laboratory, Richland, WA 99352, USA.
Sean ColbyPacific Northwest National Laboratory, Richland, WA 99352, USA.
Richard A CorleyPacific Northwest National Laboratory, Richland, WA 99352, USA.ORCID 0000-0003-2877-9194
Chantal DarquenneDepartment of Medicine, University of California, San Diego, CA 92093-0623, USA.

Funding

Multiscale Modeling of Lung Disease-Influenced Aerosol DosimetryU01ES028669 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DARQUENNE, CHANTAL · 2018 to 2022
$3.3M
NIEHS NIH HHS U01 ES028669
6 · The paper itself

Abstract

The extrathoracic oral airway is not only a major mechanical barrier for pharmaceutical aerosols to reach the lung but also a major source of variability in lung deposition. Using computational fluid dynamics, deposition of 1−30 µm particles was predicted in 11 CT-based models of the oral airways of adults. Simulations were performed for mouth breathing during both inspiration and expiration at two steady-state flow rates representative of resting/nebulizer use (18 L/min) and of dry powder inhaler (DPI) use (45 L/min). Consistent with previous in vitro studies, there was a large intersubject variability in oral deposition. For an optimal size distribution of 1−5 µm for pharmaceutical aerosols, our data suggest that >75% of the inhaled aerosol is delivered to the intrathoracic lungs in most subjects when using a nebulizer but only in about half the subjects when using a DPI. There was no significant difference in oral deposition efficiency between inspiration and expiration, unlike subregional deposition, which shows significantly different patterns between the two breathing phases. These results highlight the need for incorporating a morphological variation of the upper airway in predictive models of aerosol deposition for accurate predictions of particle dosimetry in the intrathoracic region of the lung.

Indexed as

computational fluid dynamics (CFD)inertial impactionlaryngeal particle depositionoropharyngeal deposition

Identifiers

PMID36678786
PMCPMC9860768

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.