Monitorização da fibrose quística na pediatria: estado basal e impacto da agudização respiratória

Introdução: O envolvimento respiratório é a principal causa de morbilidade e mortalidade na Fibrose Quística (FQ). Dados pediátricos sobre atividade física (AF), saturação periférica da oxi-hemoglobina (SpO2) e pico do fluxo da tosse (PFT) são escassos e não padronizados. Objetivos: Avaliar a função pulmonar (FP), AF, SpO2 e PFT, em crianças e adolescentes com FQ, no estado basal e em agudização (AR) e, na fase estável, avaliar a correlação entre as variáveis. Métodos: Realizou-se um estudo observacional prospetivo, com análise de espirometria, podometria, oximetria noturna e PFT, em condições basais. Na AR reavaliaram-se os mesmos parâmetros às 24-48 horas, 7, 15 e 30 dias, excetuando a AF aos 7 dias. Resultados: Avaliaram-se 8 doentes dos quais dois apresentaram um comprometimento ligeiro da FP e um moderado. A SpO2 foi de 96,2% [95,6; 96,6] e o número médio de passos/dia (NMP) foi de 6369 [4431; 10588]. Todos apresentaram valores do PFT inferiores ao percentil 5 para o género e idade (265 L/min [210; 290]). Apesar de não estatisticamente significativa, a correlação foi moderada entre FEV1 e SpO2 nocturna (rs =0,61; p=0,11); entre PFT e idade (rs=0,69; p=0,06); e entre PFT e capacidade vital forçada (CVF) (rs=0,54; p=0,17). Não se verificou correlação entre FEV1 e idade, NMP e PFT; e entre NMP e idade. No único caso de AR, à exceção da frequência respiratória, verificou-se a diminuição das variáveis às 24-48h; após 1 mês, a maioria das variáveis aproximou-se ou igualou os valores basais. Conclusão: Os resultados sugerem uma tendência para melhores valores de FEV1 corresponderem a melhores SpO2 noturnas e que, quanto maior a idade e a CVF, maior é o PFT. Não foi possível avaliar o impacto da AR por ter ocorrido apenas um caso.

Analysis of the respiratory dynamics during normal breathing by means of pseudo phase plots and pressure-volume loops

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.

Fractional-order impulse response of the respiratory system

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.

Is multidimensional scaling suitable for mapping the input respiratory impedance in subjects and patients?

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.

Analysis of the Respiratory Dynamics During Normal Breathing by Means of Pseudophase Plots and Pressure–Volume Loops

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.