| Evaluation of in vitro in vivo correlations for dry powder inhaler delivery using artificial neural networks. | |
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MedLine Citation:
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PMID: 18035525 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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The aim of these experiments was to investigate the use of artificial neural networks (ANNs) for generating models able to predict the relative lung bioavailability and clinical effect of salbutamol when delivered to healthy volunteers and asthmatic patients from dry powder inhalers (DPIs). ANN software was used to model in vitro, demographic and in vivo data from human subjects for four different DPI formulations containing salbutamol sulfate. In 12 volunteers, a model linking the in vitro aerodynamic characteristics of the emitted dose and volunteer body surface area with the urinary excretion of drug and its metabolite in the 24h period after inhalation was established. In 11 mild asthmatics, a predictive model correlating in vitro data, baseline lung function, body surface area and age with post-treatment improvements in forced expiratory volume in 1s (FEV1) was also generated. Models validated using unseen data from individual subjects receiving the different DPI formulations were shown to give predictions of in vivo performance. The squared correlation coefficients (R2) for plots comparing predicted and observed in vivo outcomes were 0.83 and 0.84 for urinary excretion and lung function data, respectively. It can therefore be concluded that ANN models have the potential to predict the in vivo performance of DPIs in individual subjects. |
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Authors:
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Marcel de Matas; Qun Shao; Catherine H Richardson; Henry Chrystyn |
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Publication Detail:
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Type: Clinical Trial; Journal Article Date: 2007-10-17 |
Journal Detail:
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Title: European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences Volume: 33 ISSN: 0928-0987 ISO Abbreviation: Eur J Pharm Sci Publication Date: 2008 Jan |
Date Detail:
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Created Date: 2007-12-17 Completed Date: 2008-05-22 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9317982 Medline TA: Eur J Pharm Sci Country: Netherlands |
Other Details:
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Languages: eng Pagination: 80-90 Citation Subset: IM |
Affiliation:
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Institute of Pharmaceutical Innovation, University of Bradford, Bradford BD7 1DP, UK. m.dematas1@bradford.ac.uk |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Administration, Inhalation Adult Albuterol / administration & dosage*, pharmacokinetics, therapeutic use Algorithms Asthma / drug therapy, pathology, physiopathology Biological Availability Bronchodilator Agents / administration & dosage, pharmacokinetics, therapeutic use Drug Delivery Systems / instrumentation, methods* Female Humans Lung / metabolism, pathology, physiopathology Male Middle Aged Nebulizers and Vaporizers* Neural Networks (Computer)* Particle Size Peak Expiratory Flow Rate Powders / chemistry Severity of Illness Index Technology, Pharmaceutical / instrumentation, methods Time Factors |
| Chemical | |
Reg. No./Substance:
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0/Bronchodilator Agents; 0/Powders; 18559-94-9/Albuterol |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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