Literature DB >> 22947131

In vitro tests for aerosol deposition II: IVIVCs for different dry powder inhalers in normal adults.

Renishkumar Delvadia1, Michael Hindle, P Worth Longest, Peter R Byron.   

Abstract

BACKGROUND: A new in vitro test method for dry powder inhalers (DPIs) was recently found to be predictive of the published in vivo results for Budelin Novolizer. The present study was intended to assess the method's robustness by evaluating correlations between average drug deposition in vitro and in vivo from five different DPIs.
METHODS: In vitro drug deposition from five marketed DPIs was assessed in a realistic physical airway model of a "medium" sized adult in an experimental setup that allowed deposition to be characterized regionally for carefully selected simulated air flow rate versus time profiles. The DPIs studied were Spiriva(®) HandiHaler(®), Relenza(®) Diskhaler(®), Salbutamol Easyhaler(®), Pulmicort(®) Turbuhaler(®), and Foradil(®) Aerolizer(®). In vitro regional deposition results were compared with those reported in the literature in order to create in vitro-in vivo correlations (IVIVCs) for each inhaler.
RESULTS: Mean percent total lung deposition (TLD ± SD) in vitro for Spiriva HandiHaler, Relenza Diskhaler, Salbutamol Easyhaler, Pulmicort Turbuhaler, and Foradil Aerolizer were 17.3 ± 1.2, 22.6 ± 1.1, 29.0 ± 1.1, 28.0 ± 3.0, and 21.7 ± 1.2, respectively. These results showed excellent agreement with reported in vivo values, with absolute prediction errors in TLD of ≤ 2% for all DPIs except Relenza Diskhaler. Similarly, in vitro mouth-throat and device deposition results were stoichiometrically comparable to those reported in vivo for all DPIs except Relenza Diskhaler and Turbuhaler. Inspection of the scintigraphy studies for Relenza Diskhaler and Turbohaler revealed possible problems with powder labeling and result interpretation in their in vivo clinical assessments.
CONCLUSIONS: A characteristic physical airway model representing a medium-sized adult, when coupled to carefully chosen characteristic inhalation maneuvers used in the clinic, produced results that correlated with regional drug deposition estimates from scintigraphy across a group of different DPIs.

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Year:  2012        PMID: 22947131     DOI: 10.1089/jamp.2012.0975

Source DB:  PubMed          Journal:  J Aerosol Med Pulm Drug Deliv        ISSN: 1941-2711            Impact factor:   2.849


  25 in total

1.  De-agglomeration Effect of the US Pharmacopeia and Alberta Throats on Carrier-Based Powders in Commercial Inhalation Products.

Authors:  Sharon Shui Yee Leung; Patricia Tang; Qi Tony Zhou; Zhenbo Tong; Cassandra Leung; Janwit Decharaksa; Runyu Yang; Hak-Kim Chan
Journal:  AAPS J       Date:  2015-07-23       Impact factor: 4.009

Review 2.  The Impact of Inspiratory Flow Rate on Drug Delivery to the Lungs with Dry Powder Inhalers.

Authors:  Jeffry Weers; Andy Clark
Journal:  Pharm Res       Date:  2016-10-13       Impact factor: 4.200

3.  Production of Highly Charged Pharmaceutical Aerosols Using a New Aerosol Induction Charger.

Authors:  Laleh Golshahi; P Worth Longest; Landon Holbrook; Jessica Snead; Michael Hindle
Journal:  Pharm Res       Date:  2015-03-31       Impact factor: 4.200

4.  Development of a New Inhaler for High-Efficiency Dispersion of Spray-Dried Powders Using Computational Fluid Dynamics (CFD) Modeling.

Authors:  Worth Longest; Dale Farkas
Journal:  AAPS J       Date:  2019-02-07       Impact factor: 4.009

5.  Validating Whole-Airway CFD Predictions of DPI Aerosol Deposition at Multiple Flow Rates.

Authors:  P Worth Longest; Geng Tian; Navvab Khajeh-Hosseini-Dalasm; Michael Hindle
Journal:  J Aerosol Med Pulm Drug Deliv       Date:  2016-04-15       Impact factor: 2.849

6.  Pharmacokinetics of the Inhaled Selective Glucocorticoid Receptor Modulator AZD5423 Following Inhalation Using Different Devices.

Authors:  Johanna Melin; Susanne Prothon; Charlotte Kloft; Adriaan Cleton; Carl Amilon; Carin Jorup; Per Bäckman; Bo Olsson; Ulrika Wählby Hamrén
Journal:  AAPS J       Date:  2017-03-09       Impact factor: 4.009

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.  Validating CFD Predictions of Pharmaceutical Aerosol Deposition with In Vivo Data.

Authors:  Geng Tian; Michael Hindle; Sau Lee; P Worth Longest
Journal:  Pharm Res       Date:  2015-05-06       Impact factor: 4.200

9.  Targeted Lung Delivery of Nasally Administered Aerosols.

Authors:  Geng Tian; Michael Hindle; P Worth Longest
Journal:  Aerosol Sci Technol       Date:  2014       Impact factor: 2.908

10.  Aerodynamic factors responsible for the deaggregation of carrier-free drug powders to form micrometer and submicrometer aerosols.

Authors:  P Worth Longest; Yoen-Ju Son; Landon Holbrook; Michael Hindle
Journal:  Pharm Res       Date:  2013-03-08       Impact factor: 4.200

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