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Showing results for "early lung health"
Research
Implementation of on-line training modules in paediatric Aboriginal lung healthAndré Schultz MBChB, PhD, FRACP Head, BREATH Team Head, BREATH Team Prof André Schultz is the Head, BREATH Team at The Kids Research Institute
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Western Australia Paediatric Bronchiectasis CohortBronchiectasis is a chronic lung disease that impairs quality of life and reduces life expectancy.
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Surfactant protein disorders in childhood interstitial lung diseaseSurfactant, which was first identified in the 1920s, is pivotal to lower the surface tension in alveoli of the lungs and helps to lower the work of breathing and prevents atelectasis. Surfactant proteins, such as surfactant protein B and surfactant protein C, contribute to function and stability of surfactant film.
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Early lung disease in infants and preschool children with cystic fibrosis: What have we learned and what should we do about it?This review summarizes what we have learned about early lung disease in children with CF and discusses the implications for clinical practice and research
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The effects of electronic cigarette aerosol exposure on inflammation and lung function in miceThis study shows, for the first time, that exposure to e-cigarette aerosol during adolescence and early adulthood is not harmless to the lungs and can result in significant impairments in lung function.
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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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Association between early respiratory viral infections and structural lung disease in infants with cystic fibrosisInfants with cystic fibrosis (CF) develop structural lung disease early in life, and viral infections are associated with progressive lung disease. We hypothesized that the presence of respiratory viruses would be associated with structural lung disease on computed tomography (CT) of the chest in infants with CF.
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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.
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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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The SPEC score—A quantifiable CT scoring system for primary ciliary dyskinesiaStructural lung changes seen on computed tomography scans in persons with primary ciliary dyskinesia are currently described using cystic fibrosis derived scoring systems. Recent work has shown structural changes and frequencies that are unique to PCD, indicating the need for a unique PCD-derived scoring system.