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1.
Int J Environ Health Res ; 21(6): 427-40, 2011 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-21563012

RESUMO

Although pollen is one of the most widespread agents that can cause allergy, its airway transport and deposition is far from being fully explored. The objective of this study was to characterize the airway deposition of pollens and to contribute to the debate related to the increasing number of asthma attacks registered after thunderstorms. For the quantification of the deposition of inhaled pollens in the airways computer simulations were performed. Our results demonstrated that smaller and fragmented pollens may penetrate into the thoracic airways and deposit there, supporting the theory that fragmented pollen particles are responsible for the increasing incidence of asthma attacks following thunderstorms. Pollen deposition results also suggest that children are the most exposed to the allergic effects of pollens. Finally, pollens between 0.5 and 20 µm deposit more efficiently in the lung of asthmatics than in the healthy lung, especially in the bronchial region.


Assuntos
Poluentes Atmosféricos/análise , Exposição por Inalação/análise , Pólen , Asma/epidemiologia , Simulação por Computador , Humanos , Pulmão/fisiologia , Método de Monte Carlo , Tamanho da Partícula , Chuva , Fatores de Risco , Processos Estocásticos
2.
Inhal Toxicol ; 21(12): 1021-9, 2009 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-19772481

RESUMO

Respiratory infections represent one of the most important bioaerosol-associated health effects. Bacteria are infectious micro-organisms that may, after inhalation, cause specific respiratory diseases. Although a large number of inhalable pathogenic bacteria have been identified and the related respiratory symptoms are well known, their airway transport and deposition are still not fully explored. The objective of this work was to characterise the deposition of inhaled bacteria in different regions of the lung and to find the optimum breathing modes, which ensure the minimum chance of a bacterial infection in a given environment. For this purpose a stochastic computer lung model has been applied. In order to find the breathing pattern that yields the lowest deposited fraction of the inhaled particles, multiple simulations were carried out with several combinations of tidal volumes ranging from 400 to 2000 ml, and breathing cycles ranging from 2 to 10 s. Particle aerodynamic diameters varied between 1 and 20 mum, and simulations were performed for both nose and mouth breathing conditions. Present computations demonstrated that regional (extrathoracic, tracheobronchial, acinar), lobar, and generation number-specific deposition distributions of the inhaled particles are highly sensitive to their aerodynamic diameter and to the breathing parameters. According to our results, mouth breathing with short breathing periods, no breath hold, and low tidal volumes minimises the total respiratory system deposition. On the other hand, lung (bronchial and acinar) deposition can be minimised by a breathing mode characterised by short breathing cycles through the nose with long breath holds after exhalations and high tidal volumes.


Assuntos
Microbiologia do Ar , Sistema Respiratório/microbiologia , Bactérias , Brônquios/microbiologia , Simulação por Computador , Humanos , Exposição por Inalação , Pulmão/microbiologia , Tamanho da Partícula , Mecânica Respiratória , Infecções Respiratórias/microbiologia , Processos Estocásticos , Traqueia/microbiologia
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