Evidence map›Paper›PMID 32798812›Full record

ArticleClinical biomechanics (Bristol, Avon)2020

In silico optimization of targeted aerosol delivery in upper airways via Inhaled Volume Tracking.

Metar Heller-Algazi, Eliram Nof, Prashant Das, Saurabh Bhardwaj, Stavros C Kassinos, Josué Sznitman

Open access · greenAbstract read
In one paragraph

Article in Clinical biomechanics (Bristol, Avon), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 24% of its field
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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
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

6 authors at 3 institutions in 3 countries.

Metar Heller-AlgaziDepartment of Biomedical Engineering, Technion - Israel Institute of Technology, Haifa 3200003, Israel.
Eliram NofDepartment of Biomedical Engineering, Technion - Israel Institute of Technology, Haifa 3200003, Israel.
Prashant DasDepartment of Mechanical Engineering, University of Alberta, Alberta, Canada.
Saurabh BhardwajDepartment of Biomedical Engineering, Technion - Israel Institute of Technology, Haifa 3200003, Israel.
Stavros C KassinosComputational Sciences Laboratory (UCY-CompSci), Department of Mechanical and Manufacturing Engineering, University of Cyprus, Kallipoleos Avenue 75, Nicosia 1678, Cyprus.
Josué SznitmanDepartment of Biomedical Engineering, Technion - Israel Institute of Technology, Haifa 3200003, Israel. Electronic address: sznitman@bm.technion.ac.il.
Technion – Israel Institute of Technology · ILUniversity of Alberta · CAUniversity of Cyprus · CY

Funding

European Research Council 677772
6 · The paper itself

Abstract

backgroundDespite the widespread use of aerosol inhalation as a drug delivery method, targeted delivery to the upper airways remains an ongoing challenge in the quest for improved clinical response in respiratory disease.

methodsHere, we examine in silico flow and particle dynamics when using an oral Inhaled Volume Tracking manoeuvre. A short pulsed aerosol bolus is injected during slow inhalation flow rates followed by clean air, and a breath-hold is initiated once it reaches the desired depth. We explore the fate of a broad particle size range (1-40 μm) for both upright and supine positions.

findingsOur findings illustrate that despite attempts to mitigate dispersion using slower flow rates, the laryngeal jet disperses the aerosol bolus and thus remains a hurdle for efficient targeted delivery. Nevertheless, we show a decrease in extra-thoracic deposition; large aerosols in the range of 10-30 μm potentially outperform existing inhalation methods, showing deposition fractions of up to 80% in an upright orientation.

interpretationThe improved deposition during Inhaled Volume Tracking shows promise for clinical applications and could be leveraged to deliver larger payloads to the upper airways.

Indexed as

Computer SimulationAdministration, InhalationAerosolsDrug Delivery SystemsHumansNebulizers and VaporizersParticle SizeRespiratory SystemAerosolsAerosol depositionComputational fluid dynamicsDrug deliveryInhalation therapyIn silicoLungs

Identifiers

PMID32798812
PMCPMC7611794
OpenAlexW3048718771

What OpenQuestion holds

Textmetadata
LicenceTDM
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Registered trials

None linked

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.