title: Modelling of in-vitro and in-vivo performance of aerosol emitted from different vibrating mesh nebulisers in non-invasive ventilation circuit.
abstract: Substituting nebulisers by another in non-invasive ventilation circuit (NIV) involves many process variables which must be adjusted to ensure patient optimum therapy. However, there is a doubt when nebulisers use the same technology. Data mining technology based on artificial neural networks and genetic algorithms were used here to model in-vitro inhalation process and predict bioavailability from inhaled doses delivered by three different vibrating mesh nebulisers (VMNs) in NIV. Modelling of data indicated that in-vitro performance of VMNs was dependent mainly on fine particle fraction, mass median aerodynamic diameter (MMAD), total emitted dose (TED) and to lesser extent on nebuliser type. Ex-vivo model indicated that amount of salbutamol collected on facemask filter was directly affected by TED. In-vivo model showed that amount of salbutamol deposited into the lung (0.5hQ) and amount absorbed systemically (24hQ) were dependent directly on MMAD and TED. Female patients showed higher 24hQ values than males. Nebuliser type affected TED, 0.5hQ but not 24hQ values. Results indicate suitability of VMNs in achieving appropriate in-vitro inhalation performance model. The results also, indicate that the three VMNs are comparable and can be interchanged with no fear of any additional toxicity.
authors.affiliation: Clinical Pharmacy Department, Faculty of Pharmacy, Beni-suef University, Beni-suef, Egypt. Electronic address: hoda_cp@yahoo.com.
authors.forename: Hoda
authors.initials: H
authors.lastname: Rabea
authors.affiliation: Pharmaceutics Department, Faculty of Pharmacy, Beni-suef University, Beni-suef, Egypt; Pharmaceutics Department, Faculty of Pharmacy, Taif University, Taif, Saudi Arabia. Electronic address: ahmed.mahmoud3@yahoo.com.
authors.forename: Ahmed M A
authors.initials: AM
authors.lastname: Ali
authors.affiliation: Respiratory Department, Faculty of Medicine, Beni-suef University, Beni-suef, Egypt. Electronic address: randasalah65@yahoo.com.
authors.forename: Randa
authors.initials: R
authors.lastname: Salah Eldin
authors.affiliation: Analytical Chemistry Department, Faculty of Pharmacy, Beni-suef University, Beni-suef, Egypt. Electronic address: maha_m_abdelrahman@yahoo.com.
authors.forename: Maha M
authors.initials: MM
authors.lastname: Abdelrahman
authors.affiliation: Clinical Pharmacy Department, Faculty of Pharmacy, Beni-suef University, Beni-suef, Egypt.
authors.forename: Amira S A
authors.initials: AS
authors.lastname: Said
authors.affiliation: Clinical Pharmacy Department, Faculty of Pharmacy, Beni-suef University, Beni-suef, Egypt; Clinical Pharmacy Department, Faculty of Pharmacy, Ahram Canadian University, Giza, Egypt. Electronic address: mohamedemam9@yahoo.com.
authors.forename: Mohamed E
authors.initials: ME
authors.lastname: Abdelrahim
mesh_terms: D000328:Adult; D000336:Aerosols / Q000008:administration & dosage / Q000493:pharmacokinetics*; D000420:Albuterol / Q000008:administration & dosage / Q000493:pharmacokinetics*; D001993:Bronchodilator Agents / Q000008:administration & dosage / Q000493:pharmacokinetics*; D016503:Drug Delivery Systems / Q000379:methods; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D008954:Models, Biological; D009330:Nebulizers and Vaporizers; D063087:Noninvasive Ventilation / Q000295:instrumentation / Q000379:methods*; D029424:Pulmonary Disease, Chronic Obstructive / Q000188:drug therapy / Q000378:metabolism; D014732:Vibration
chemical_list: D000336:Aerosols; D001993:Bronchodilator Agents; D000420:Albuterol
keywords: Aerodynamic characteristics; Modelling; Non-invasive ventilation; Total emitted dose; Vibrating mesh nebulisers