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Modeling and Simulations of Olfactory Drug Delivery with Passive and Active Controls of Nasally Inhaled Pharmaceutical Aerosols
Published on: May 20, 2016
Targeting inhaled aerosol delivery to upper airways in children: Insight from computational fluid dynamics (CFD)
Prashant Das1, Eliram Nof1, Israel Amirav2
1Department of Biomedical Engineering, Technion - Israel Institute of Technology, Haifa, Israel.
Insights
Optimizing inhaled drug delivery for children is crucial. This study used computational fluid dynamics to find an optimal aerosol size for maximum lung deposition, improving pediatric inhalation therapy.
Area of Science:
- Pediatric Respiratory Medicine
- Aerosol Science and Technology
- Computational Fluid Dynamics
Background:
- Inhalation therapy for pediatric respiratory disorders often suffers from low drug deposition in the lungs.
- Current drug delivery devices and guidelines are largely based on adult data, with dosages adapted for children.
Purpose of the Study:
- To explore methods for enhancing aerosol deposition in children's lungs.
- To investigate the influence of age-specific physiological and physical transport factors on drug delivery.
- To identify optimal aerosol characteristics for improved pediatric inhalation therapy.
Main Methods:
- Utilized in silico computational fluid dynamics (CFD) simulations.
- Modeled airflow and aerosol transport in an idealized, anatomically accurate pediatric airway geometry.
- Simulated age-specific inhalation maneuvers for Dry Powder Inhalers (DPI) and nebulizers.
Main Results:
- A single dimensionless curve, governed by the Stokes number (Stk), describes deposition in conductive airways across ages.
- A distinct deposition peak was identified for both DPIs (Stk ≈ 0.06, ~80% deposition) and nebulizers (Stk ≈ 0.03-0.04, ~45% deposition).
- Optimal aerosol size windows for deposition were found to be age-dependent and device-specific.
Conclusions:
- Dimensionless analysis reveals age- and device-specific optimal aerosol sizes for pediatric lung deposition.
- Findings advocate for revising pediatric inhalation therapy design guidelines to improve drug delivery efficacy.
- Optimizing aerosol properties based on physiological determinants can enhance treatment outcomes for children.
Abstract:
Despite the prevalence of inhalation therapy in the treatment of pediatric respiratory disorders, most prominently asthma, the fraction of inhaled drugs reaching the lungs for maximal efficacy remains adversely low. By and large drug delivery devices and their inhalation guidelines are typically derived from adult studies with child dosages adapted according to body weight. While it has long been recognized that physiological (e.g. airway sizes, breathing maneuvers) and physical transport (e.g. aerosol dynamics) characteristics are critical in governing deposition outcomes, such knowledge has yet to be extensively adapted to younger populations. Motivated by such shortcomings, the present work leverages in a first step in silico computational fluid dynamics (CFD) to explore opportunities for augmenting aerosol deposition in children based on respiratory physiological and physical transport determinants. Using an idealized, anatomically-faithful upper airway geometry, airflow and aerosol motion are simulated as a function of age, spanning a five year old to an adult. Breathing conditions mimic realistic age-specific inhalation maneuvers representative of Dry Powder Inhalers (DPI) and nebulizer inhalation. Our findings point to the existence of a single dimensionless curve governing deposition in the conductive airways via the dimensionless Stokes number (Stk). Most significantly, we uncover the existence of a distinct deposition peak irrespective of age. For the DPI simulations, this peak (∼ 80%) occurs at Stk ≈ 0.06 whereas for nebulizer simulations, the corresponding peak (∼ 45%) occurs in the range of Stk between 0.03-0.04. Such dimensionless findings hence translate to an optimal window of micron-sized aerosols that evolves with age and varies with inhalation device. The existence of such deposition optima advocates revisiting design guidelines for optimizing deposition outcomes in pediatric inhalation therapy.
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