5 resultados para Chronic Obstructive

em Instituto Politécnico do Porto, Portugal


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This paper reports on the analysis of tidal breathing patterns measured during noninvasive forced oscillation lung function tests in six individual groups. The three adult groups were healthy, with prediagnosed chronic obstructive pulmonary disease, and with prediagnosed kyphoscoliosis, respectively. The three children groups were healthy, with prediagnosed asthma, and with prediagnosed cystic fibrosis, respectively. The analysis is applied to the pressure–volume curves and the pseudophaseplane loop by means of the box-counting method, which gives a measure of the area within each loop. The objective was to verify if there exists a link between the area of the loops, power-law patterns, and alterations in the respiratory structure with disease. We obtained statistically significant variations between the data sets corresponding to the six groups of patients, showing also the existence of power-law patterns. Our findings support the idea that the respiratory system changes with disease in terms of airway geometry and tissue parameters, leading, in turn, to variations in the fractal dimension of the respiratory tree and its dynamics.

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This paper presents the measurement, frequency-response modeling and identification, and the corresponding impulse time response of the human respiratory impedance and admittance. The investigated adult patient groups were healthy, diagnosed with chronic obstructive pulmonary disease and kyphoscoliosis, respectively. The investigated children patient groups were healthy, diagnosed with asthma and cystic fibrosis, respectively. Fractional order (FO) models are identified on the measured impedance to quantify the respiratory mechanical properties. Two methods are presented for obtaining and simulating the time-domain impulse response from FO models of the respiratory admittance: (i) the classical pole-zero interpolation proposed by Oustaloup in the early 90s, and (ii) the inverse discrete Fourier Transform (DFT). The results of the identified FO models for the respiratory admittance are presented by means of their average values for each group of patients. Consequently, the impulse time response calculated from the frequency response of the averaged FO models is given by means of the two methods mentioned above. Our results indicate that both methods provide similar impulse response data. However, we suggest that the inverse DFT is a more suitable alternative to the high order transfer functions obtained using the classical Oustaloup filter. Additionally, a power law model is fitted on the impulse response data, emphasizing the intrinsic fractal dynamics of the respiratory system.

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This paper presents the application of multidimensional scaling (MDS) analysis to data emerging from noninvasive lung function tests, namely the input respiratory impedance. The aim is to obtain a geometrical mapping of the diseases in a 3D space representation, allowing analysis of (dis)similarities between subjects within the same pathology groups, as well as between the various groups. The adult patient groups investigated were healthy, diagnosed chronic obstructive pulmonary disease (COPD) and diagnosed kyphoscoliosis, respectively. The children patient groups were healthy, asthma and cystic fibrosis. The results suggest that MDS can be successfully employed for mapping purposes of restrictive (kyphoscoliosis) and obstructive (COPD) pathologies. Hence, MDS tools can be further examined to define clear limits between pools of patients for clinical classification, and used as a training aid for medical traineeship.

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Introdução: A doença pulmonar obstrutiva crónica (DPOC) é considerada uma das principais causas de morbilidade e mortalidade em todo o mundo, atingindo substancialmente o contexto económico e social. As ações de educação permitem capacitar o doente na gestão e controlo da sua doença, no desenvolvimento do empowerment e na aquisição de estratégias para melhorar os vários outcomes da doença crónica. Têm sido propostas como medidas para limitar a crescente carga e custos de saúde. Contudo, ainda se encontra incerta a sua eficácia nesta patologia. Objetivo: Analisar as implicações das ações educativas de self-management sobre a DPOC, nomeadamente ao nível da recorrência aos serviços de saúde, nas exacerbações, na autoeficácia e na medicação. Métodos: Estudos controlados e randomizados, escritos em inglês, que incluíram ações de educação de selfmanagement foram pesquisados em bases de dados MEDLINE, CINAHL, ScienceDirect. Outcomes analisados: número de exacerbações, recorrência aos serviços de saúde, autoeficácia e conhecimento da DPOC, recurso a antibiótico e/ou corticosteróides. Resultados: 12 artigos foram incluídos na revisão sistemática. O período de intervenção variou entre 3 a 18 meses e o número de participantes randomizados de 40 a 743. Foi observada uma diminuição da recorrência aos serviços de saúde e no aumento da autoeficácia e conhecimento da DPOC. Não foram observadas alterações na frequência de exacerbações nem no recurso a antibióticos e/ou corticosteróides. Conclusão: A implementação de ações de educação na DPOC mostrou trazer benefícios a nível da recorrência dos serviços de saúde e na autoeficácia e conhecimento acerca da DPOC. Contudo, mais estudos controlados e randomizados rigorosos são necessários.

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This paper reports on the analysis of tidal breathing patterns measured during noninvasive forced oscillation lung function tests in six individual groups. The three adult groups were healthy, with prediagnosed chronic obstructive pulmonary disease, and with prediagnosed kyphoscoliosis, respectively. The three children groups were healthy, with prediagnosed asthma, and with prediagnosed cystic fibrosis, respectively. The analysis is applied to the pressure-volume curves and the pseudophase-plane loop by means of the box-counting method, which gives a measure of the area within each loop. The objective was to verify if there exists a link between the area of the loops, power-law patterns, and alterations in the respiratory structure with disease. We obtained statistically significant variations between the data sets corresponding to the six groups of patients, showing also the existence of power-law patterns. Our findings support the idea that the respiratory system changes with disease in terms of airway geometry and tissue parameters, leading, in turn, to variations in the fractal dimension of the respiratory tree and its dynamics.