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- W2901761663 endingPage "e0207711" @default.
- W2901761663 startingPage "e0207711" @default.
- W2901761663 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." @default.
- W2901761663 created "2018-11-29" @default.
- W2901761663 creator A5029172221 @default.
- W2901761663 creator A5045190191 @default.
- W2901761663 creator A5048430194 @default.
- W2901761663 creator A5052676561 @default.
- W2901761663 creator A5071131673 @default.
- W2901761663 date "2018-11-20" @default.
- W2901761663 modified "2023-10-14" @default.
- W2901761663 title "Targeting inhaled aerosol delivery to upper airways in children: Insight from computational fluid dynamics (CFD)" @default.
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- W2901761663 doi "https://doi.org/10.1371/journal.pone.0207711" @default.
- W2901761663 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6245749" @default.
- W2901761663 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30458054" @default.
- W2901761663 hasPublicationYear "2018" @default.