Literature DB >> 25308992

Variability in Nose-to-Lung Aerosol Delivery.

Ross L Walenga1, Geng Tian1, Michael Hindle2, Joshua Yelverton3, Kelley Dodson3, P Worth Longest4.   

Abstract

Nasal delivery of lung targeted pharmaceutical aerosols is ideal for drugs that need to be administered during high flow nasal cannula (HFNC) gas delivery, but based on previous studies losses and variability through both the delivery system and nasal cavity are expected to be high. The objective of this study was to assess the variability in aerosol delivery through the nose to the lungs with a nasal cannula interface for conventional and excipient enhanced growth (EEG) delivery techniques. A database of nasal cavity computed tomography (CT) scans was collected and analyzed, from which four models were selected to represent a wide range of adult anatomies, quantified based on the nasal surface area-to-volume ratio (SA/V). Computational fluid dynamics (CFD) methods were validated with existing in vitro data and used to predict aerosol delivery through a streamlined nasal cannula and the four nasal models at a steady state flow rate of 30 L/min. Aerosols considered were solid particles for EEG delivery (initial 0.9 μm and 1.5 μm aerodynamic diameters) and conventional droplets (5 μm) for a control case. Use of the EEG approach was found to reduce depositional losses in the nasal cavity by an order of magnitude and substantially reduce variability. Specifically, for aerosol deposition efficiency in the four geometries, the 95% confidence intervals (CI) for 0.9 and 5 μm aerosols were 2.3-3.1 and 15.5-66.3%, respectively. Simulations showed that the use of EEG as opposed to conventional methods improved delivered dose of aerosols through the nasopharynx, expressed as penetration fraction (PF), by approximately a factor of four. Variability of PF, expressed by the coefficient of variation (CV), was reduced by a factor of four with EEG delivery compared with the control case. Penetration fraction correlated well with SA/V for larger aerosols, but smaller aerosols showed some dependence on nasopharyngeal exit hydraulic diameter. In conclusion, results indicated that the EEG technique not only improved lung aerosol delivery, but largely eliminated variability in both nasal depositional loss and lung PF in a newly developed set of nasal airway models.

Entities:  

Keywords:  Nasal variability; controlled condensational growth; excipient enhanced growth; nasal aerosol deposition; respiratory drug delivery; submicrometer aerosols

Year:  2014        PMID: 25308992      PMCID: PMC4187112          DOI: 10.1016/j.jaerosci.2014.08.003

Source DB:  PubMed          Journal:  J Aerosol Sci        ISSN: 0021-8502            Impact factor:   3.433


  53 in total

1.  Deposition of aerosol particles in the human nose.

Authors:  J Heyder; G Rudolf
Journal:  Inhaled Part       Date:  1975-09

2.  Numerical simulations investigating the regional and overall deposition efficiency of the human nasal cavity.

Authors:  Kevin T Shanley; Parsa Zamankhan; Goodarz Ahmadi; Philip K Hopke; Yung-Sung Cheng
Journal:  Inhal Toxicol       Date:  2008-09       Impact factor: 2.724

3.  Targeting aerosol deposition to and within the lung airways using excipient enhanced growth.

Authors:  Geng Tian; P Worth Longest; Xiang Li; Michael Hindle
Journal:  J Aerosol Med Pulm Drug Deliv       Date:  2013-01-03       Impact factor: 2.849

4.  Performance of combination drug and hygroscopic excipient submicrometer particles from a softmist inhaler in a characteristic model of the airways.

Authors:  P Worth Longest; Geng Tian; Xiang Li; Yoen-Ju Son; Michael Hindle
Journal:  Ann Biomed Eng       Date:  2012-07-21       Impact factor: 3.934

5.  The use of condensational growth methods for efficient drug delivery to the lungs during noninvasive ventilation high flow therapy.

Authors:  Laleh Golshahi; Geng Tian; Mandana Azimi; Yoen-Ju Son; Ross Walenga; P Worth Longest; Michael Hindle
Journal:  Pharm Res       Date:  2013-06-26       Impact factor: 4.200

6.  Degree of throat deposition can explain the variability in lung deposition of inhaled drugs.

Authors:  Lars Borgström; Bo Olsson; Lars Thorsson
Journal:  J Aerosol Med       Date:  2006

7.  In vitro comparison of heliox and oxygen in aerosol delivery using pediatric high flow nasal cannula.

Authors:  Arzu Ari; Robert Harwood; Meryl Sheard; Patricia Dailey; James B Fink
Journal:  Pediatr Pulmonol       Date:  2011-03-24

8.  Effect of energy on propylene glycol aerosols using the capillary aerosol generator.

Authors:  X Shen; M Hindle; P R Byron
Journal:  Int J Pharm       Date:  2004-05-04       Impact factor: 5.875

9.  Condensational growth of combination drug-excipient submicrometer particles for targeted high-efficiency pulmonary delivery: evaluation of formulation and delivery device.

Authors:  Michael Hindle; P Worth Longest
Journal:  J Pharm Pharmacol       Date:  2012-02-21       Impact factor: 3.765

10.  Change in upper airway geometry between upright and supine position during tidal nasal breathing.

Authors:  Cedric S Van Holsbeke; Stijn L Verhulst; Wim G Vos; Jan W De Backer; Samir C Vinchurkar; Pascal R Verdonck; Johanna W D van Doorn; Nasser Nadjmi; Wilfried A De Backer
Journal:  J Aerosol Med Pulm Drug Deliv       Date:  2013-03-19       Impact factor: 2.849

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  15 in total

1.  Application of an inline dry powder inhaler to deliver high dose pharmaceutical aerosols during low flow nasal cannula therapy.

Authors:  Dale Farkas; Michael Hindle; P Worth Longest
Journal:  Int J Pharm       Date:  2018-05-05       Impact factor: 5.875

Review 2.  Devices for Improved Delivery of Nebulized Pharmaceutical Aerosols to the Lungs.

Authors:  Worth Longest; Benjamin Spence; Michael Hindle
Journal:  J Aerosol Med Pulm Drug Deliv       Date:  2019-07-09       Impact factor: 2.849

3.  Development of a High-Flow Nasal Cannula and Pharmaceutical Aerosol Combination Device.

Authors:  Benjamin M Spence; Worth Longest; Xiangyin Wei; Sneha Dhapare; Michael Hindle
Journal:  J Aerosol Med Pulm Drug Deliv       Date:  2019-03-11       Impact factor: 2.849

4.  Aerosol Drug Delivery During Noninvasive Positive Pressure Ventilation: Effects of Intersubject Variability and Excipient Enhanced Growth.

Authors:  Ross L Walenga; P Worth Longest; Anubhav Kaviratna; Michael Hindle
Journal:  J Aerosol Med Pulm Drug Deliv       Date:  2017-01-11       Impact factor: 2.849

5.  Ideal Particle Sizes for Inhaled Steroids Targeting Vocal Granulomas: Preliminary Study Using Computational Fluid Dynamics.

Authors:  Elizabeth L Perkins; Saikat Basu; Guilherme J M Garcia; Robert A Buckmire; Rupali N Shah; Julia S Kimbell
Journal:  Otolaryngol Head Neck Surg       Date:  2017-11-21       Impact factor: 3.497

6.  High-Efficiency Nose-to-Lung Aerosol Delivery in an Infant: Development of a Validated Computational Fluid Dynamics Method.

Authors:  Karl Bass; Susan Boc; Michael Hindle; Kelley Dodson; Worth Longest
Journal:  J Aerosol Med Pulm Drug Deliv       Date:  2018-12-15       Impact factor: 2.849

Review 7.  Use of computational fluid dynamics deposition modeling in respiratory drug delivery.

Authors:  P Worth Longest; Karl Bass; Rabijit Dutta; Vijaya Rani; Morgan L Thomas; Ahmad El-Achwah; Michael Hindle
Journal:  Expert Opin Drug Deliv       Date:  2018-12-10       Impact factor: 6.648

8.  Upper airway reconstruction using long-range optical coherence tomography: Effects of airway curvature on airflow resistance.

Authors:  Julia S Kimbell; Saikat Basu; Guilherme J M Garcia; Dennis O Frank-Ito; Frances Lazarow; Erica Su; Dimitry Protsenko; Zhongping Chen; John S Rhee; Brian J Wong
Journal:  Lasers Surg Med       Date:  2018-07-26       Impact factor: 4.025

9.  Impact of endoscopic craniofacial resection on simulated nasal airflow and heat transport.

Authors:  Lauren F Tracy; Saikat Basu; Parth V Shah; Dennis O Frank-Ito; Snigdha Das; Adam M Zanation; Julia S Kimbell
Journal:  Int Forum Allergy Rhinol       Date:  2019-03-12       Impact factor: 3.858

10.  Recommendations for Simulating Microparticle Deposition at Conditions Similar to the Upper Airways with Two-Equation Turbulence Models.

Authors:  Karl Bass; P Worth Longest
Journal:  J Aerosol Sci       Date:  2018-02-21       Impact factor: 3.433

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