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The all-age spirometry reference ranges reflect contemporary Australasian spirometryAdvances in statistical modelling have allowed the creation of smoothly changing spirometry reference ranges that apply across a wide age range and better...
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Influence of secular trends and sample size on reference equations for lung function testsThe aim of our study was to determine the contribution of secular trends and sample size to lung function reference equations, and establish the number...
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Air travel and the risks of hypoxia in childrenIn infants and children with chronic respiratory disease, hypoxia is a potential risk of aircraft travel.
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Progressive ventilation inhomogeneity in infants with cystic fibrosis after pulmonary infectionThis study aimed to determine how pulmonary inflammation & infection impacts on ventilation distribution throughout early life in people with cystic fibrosis.
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Key paediatric messages from the 2016 European respiratory society international congressHighlight of some of the most interesting abstracts presented at the 2016 ERS International Congress, which was held in London
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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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The PELICAN (Prematurity's Effect on the Lungs In Children and Adults Network) ERS Clinical Research Collaboration: understanding the impact of preterm birth on lung health throughout lifeAn estimated 15 million babies (∼11%) are born preterm each year (before 37 weeks of gestation), the rates of which are increasing worldwide. Enhanced perinatal care, including antenatal corticosteroids, postnatal surfactant and improved respiratory management, have markedly improved survival outcomes since the 1990s, particularly for babies born very preterm (<32 weeks gestation). However, long-term pulmonary sequelae are frequent in preterm survivors and ongoing clinical management is often required.
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Many Healthy LungsIn partnership with Derbarl Yerrigan Health Service and the Broome Regional Aboriginal Medical Service, we aim to improve Aboriginal lung health by determining for the first time the baseline lung function of Aboriginal Australians.
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Personalised, machine learning based prediction of asthma in childrenRachel Graham Foong Hall BSc (hons), PhD, MBiostat BAppSci PhD CRFS FANZSRS FThorSoc FERS Honorary Research Associate Honorary Research Associate 08
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The next generation of impact in cystic fibrosisLung damage in children with CF occurs much earlier than previously thought, and proving this is related to the decline that occurs later will create new paradigms for prevention and treatment.