Yongquan Li1, Adam Bohr1,2, Henrik Jensen1, Jukka Rantanen1, Claus Cornett1, Moritz Beck-Broichsitter3, Johan Peter Bøtker4. 1. Department of Pharmacy, University of Copenhagen, DK-2100, Copenhagen, Denmark. 2. Sonohaler IVS, DK-2450, Copenhagen, Denmark. 3. Medical Clinical II, Department of Internal Medicine, Justus-Liebig-Universität, D-35392, Giessen, Germany. 4. Department of Pharmacy, University of Copenhagen, DK-2100, Copenhagen, Denmark. johan.botker@sund.ku.dk.
Abstract
PURPOSE: Asthma is a prevalent lung disorder that cause heavy burdens globally. Inhalation medicaments can relieve symptoms, improve lung function and, thus, the quality of life. However, it is well-documented that patients often do not get the prescribed dose out of an inhaler and the deposition of drug is suboptimal, due to incorrect handling of the device and wrong inhalation technique. This study aims to design and fabricate an acoustic dry powder inhaler (ADPI) for monitoring inhalation flow and related drug administration in order to evaluate whether the patient receives the complete dose out of the inhaler. METHODS: The devices were fabricated using 3D printing and the impact of the acoustic element geometry and printing resolution on the acoustic signal was investigated. Commercial Foradil (formoterol fumarate) capsules were used to validate the availability of the ADPI for medication dose tracking. The acoustic signal was analysed with Partial-Least-Squares (PLS) regression. RESULTS: Indicate that specific acoustic signals could be generated at different air flow rates using a passive acoustic element with specific design features. This acoustic signal could be correlated with the PLS model to the air flow rate. A more distinct sound spectra could be acquired at higher printing resolution. The sound spectra from the ADPI with no capsule, a full capsule and an empty capsule are different which could be used for medication tracking. CONCLUSIONS: This study shows that it is possible to evaluate the medication quality of inhaled medicaments by monitoring the acoustic signal generated during the inhalation process.
PURPOSE: Asthma is a prevalent lung disorder that cause heavy burdens globally. Inhalation medicaments can relieve symptoms, improve lung function and, thus, the quality of life. However, it is well-documented that patients often do not get the prescribed dose out of an inhaler and the deposition of drug is suboptimal, due to incorrect handling of the device and wrong inhalation technique. This study aims to design and fabricate an acoustic dry powder inhaler (ADPI) for monitoring inhalation flow and related drug administration in order to evaluate whether the patient receives the complete dose out of the inhaler. METHODS: The devices were fabricated using 3D printing and the impact of the acoustic element geometry and printing resolution on the acoustic signal was investigated. Commercial Foradil (formoterol fumarate) capsules were used to validate the availability of the ADPI for medication dose tracking. The acoustic signal was analysed with Partial-Least-Squares (PLS) regression. RESULTS: Indicate that specific acoustic signals could be generated at different air flow rates using a passive acoustic element with specific design features. This acoustic signal could be correlated with the PLS model to the air flow rate. A more distinct sound spectra could be acquired at higher printing resolution. The sound spectra from the ADPI with no capsule, a full capsule and an empty capsule are different which could be used for medication tracking. CONCLUSIONS: This study shows that it is possible to evaluate the medication quality of inhaled medicaments by monitoring the acoustic signal generated during the inhalation process.
Entities:
Keywords:
3D printing; acoustic element; dry powder inhaler; inhaler technique; medication tracking; monitoring of lung disease
Authors: Cristina Villa-Roel; Taylor Nikel; Maria Ospina; Britt Voaklander; Sandra Campbell; Brian H Rowe Journal: Acad Emerg Med Date: 2015-12-31 Impact factor: 3.451
Authors: Sven L Klijn; Mickaël Hiligsmann; Silvia M A A Evers; Miguel Román-Rodríguez; Thys van der Molen; Job F M van Boven Journal: NPJ Prim Care Respir Med Date: 2017-04-13 Impact factor: 2.871
Authors: Kwun Nok Man; Zhipeng Tian; David Chi-Leung Lam; Jennifer Man Fan Wan; Kian Cheng Tan-Un Journal: Int J Chron Obstruct Pulmon Dis Date: 2018-06-15
Authors: Vicente Plaza; Concepción Fernández-Rodríguez; Carlos Melero; Borja G Cosío; Luís Manuel Entrenas; Luis Pérez de Llano; Fernando Gutiérrez-Pereyra; Eduard Tarragona; Rosa Palomino; Antolín López-Viña Journal: J Aerosol Med Pulm Drug Deliv Date: 2015-07-31 Impact factor: 2.849