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Showing results for "aboriginal respiratory"
Research
High success rate of lung function testing in healthy, unsedated 1- and 2-year-old South African childrenLung function measures in a health, unsedated 1- and 2-year-old children in a South African birth cohort study
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Lung volume and ventilation inhomogeneity in preterm infants at 15-18 months corrected ageTo assess whether lung volume and ventilation inhomogeneity in preterm infants at 15-18 months corrected age
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Prevalence of and risk factors for human rhinovirus infection in healthy aboriginal and non-aboriginal western australian childrenHuman rhinovirus (HRV) species C (HRV-C) have been associated with frequent and severe acute lower respiratory infections and asthma in hospitalized children.
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Developing metabolomics profiles to differentiate between healthy, preschool wheeze and asthmaAndré Graham Ingrid Schultz Hall Laing MBChB, PhD, FRACP BAppSci PhD CRFS FANZSRS FThorSoc FERS BSc PhD Program Head, Respiratory Health RFA
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Characterization of maximal respiratory pressures in healthy childrenMeasurements of maximal voluntary inspiratory (Pi max) and expiratory (Pe max) pressures are used in the management of respiratory muscle disease...
News & Events
Lung health of Aboriginal children hospitalised with chest infections improved following co-designed interventionA co-designed and culturally secure intervention to improve medical follow-up for Aboriginal children hospitalised with acute chest infections resulted in higher follow-up rates and improved longer-term lung health outcomes for children.
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Defining the appropriate waiting time between multiple-breath nitrogen washout measurementsThis letter addresses the recommendations by the American Thoracic Society & European Respiratory Society in 2005, that patients must wait 15-60mins between...
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Lung function testing in preschool-aged children with cystic fibrosis in the clinical settingThis study investigated the nature and prevalence of atypical pain responses in Rett syndrome and their relationships with specific MECP2 mutations.
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Environmental health challenges in remote Aboriginal Australian communities: clean air, clean water and safe housingA considerable health disparity exists between Aboriginal and non-Aboriginal Australians, including a higher incidence and severity of cardiovascular and...
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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.