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Showing results for "early lung health"
Research
Early life rhinovirus infection exacerbates house-dust-mite induced lung disease more severely in female miceEarly life rhinovirus infection influences the development of house-dust-mite induced lung disease in female, but not male mice
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Effect of posture on lung ventilation distribution and associations with structure in children with cystic fibrosisBackground: We assessed the effect of posture on ventilation distribution and the impact on associations with structural lung disease.
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Spring-infusors: How a simple and small solution can create king-sized complexityThe aims of the study were to investigate family and hospital staff views about the use of spring-infusor devices for administration of intravenous antibiotic medications, to examine if the device is acceptable and feasible and to map a process for implementation.
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DEFEND CF: Biomarkers to define the treatment end-point for pulmonary exacerbations in cystic fibrosisSensitive and reliable tests are required to monitor lung disease severity in cystic fibrosis.
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Single-breath washout and association with structural lung disease in children with cystic fibrosisAcinar ventilation inhomogeneity measured by single-breath washout was not associated with structural lung disease on CT
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Impact of lung disease on respiratory impedance in young children with cystic fibrosisThe present study investigated whether lung function measured by forced oscillation technique would be impaired in the presence of infection,...
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Quality of life is poorly correlated to lung disease severity in school-aged children with cystic fibrosisThere is no data exclusively on the relationship between health-related quality-of-life (HRQOL) and lung disease severity in early school-aged children with cystic fibrosis (CF). Using data from the Australian Respiratory Early Surveillance Team for Cystic Fibrosis (AREST CF) we assessed the relationships between HRQOL, lung function and structure.
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Altered lung structure and function in mid-childhood survivors of very preterm birthTo obtain comprehensive data on lung structure and function in mid-childhood from survivors of preterm birth.
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Increasing diversity within the Global Lung Function InitiativeThe Global Lung Function Initiative has worked to develop all‐age, multi‐ethnic reference equations for the major clinical lung function tests
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Does machine learning have a role in the prediction of asthma in children?Asthma is the most common chronic lung disease in childhood. There has been a significant worldwide effort to develop tools/methods to identify children's risk for asthma as early as possible for preventative and early management strategies. Unfortunately, most childhood asthma prediction tools using conventional statistical models have modest accuracy, sensitivity, and positive predictive value.