Journal article
Patient-specific modeling of aerosol delivery in healthy and asthmatic adults
Journal of applied physiology (1985), Vol.127(6), pp.1720-1732
12/01/2019
DOI: 10.1152/japplphysiol.00221.2019
PMCID: PMC6962611
PMID: 31513445
Abstract
The magnitude and regional heterogeneity of airway obstructions in severe asthmatics is likely linked to insufficient drug delivery, as evidenced by the inability to mitigate exacerbations with inhaled aerosol medications. To understand the correlation between morphometric features, airflow distribution, and inhaled dosimetry, we perform dynamic computational simulations in two healthy and four asthmatic subjects. Models incorporate computed tomography-based and patient-specific central airway geometries and hyperpolarized
3
He MRI-measured segmental ventilation defect percentages (SVDPs), implemented as resistance boundary conditions. Particles [diameters ( d
p
) = 1, 3, and 5 μm] are simulated throughout inhalation, and we record their initial conditions, both spatially and temporally, with their fate in the lung. Predictions highlight that total central airway deposition is the same between the healthy subjects (26.6%, d
p
= 3 μm) but variable among the asthmatic subjects (ranging from 5.9% to 59.3%, d
p
= 3 μm). We found that by preferentially releasing the particles during times of fast or slow inhalation rates we enhance either central airway deposition percentages or peripheral particle delivery, respectively. These predictions highlight the potential to identify with simulations patients who may not receive adequate therapeutic dosages with inhaled aerosol medication and therefore identify patients who may benefit from alternative treatment strategies. Furthermore, by improving regional dose levels, we may be able to preferentially deliver drugs to the airways in need, reducing associated adverse side effects.
NEW & NOTEWORTHY Although it is evident that exacerbation mitigation is unsuccessful in some asthmatics, it remains unclear whether or not these patients receive adequate dosages of inhaled therapeutics. By coupling MRI and computed tomography data with patient-specific computational models, our predictions highlight the large intersubject variability, specifically in severe asthma.
Details
- Title: Subtitle
- Patient-specific modeling of aerosol delivery in healthy and asthmatic adults
- Creators
- Kamran Poorbahrami - Northeastern UniversityDavid G. Mummy - University of Wisconsin–MadisonSean B. Fain - University of Wisconsin–MadisonJessica M. Oakes - Northeastern University
- Resource Type
- Journal article
- Publication Details
- Journal of applied physiology (1985), Vol.127(6), pp.1720-1732
- DOI
- 10.1152/japplphysiol.00221.2019
- PMID
- 31513445
- PMCID
- PMC6962611
- ISSN
- 8750-7587
- eISSN
- 1522-1601
- Grant note
- name: NIH/NHLBI, award: HL140436-01, HL069116, HL109168, HL080412; name: NIH/NCATS, award: UL1TR000427; name: NIH, award: OD016394
- Language
- English
- Date published
- 12/01/2019
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology; Electrical and Computer Engineering; Health and Human Physiology
- Record Identifier
- 9984275059402771
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