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Showing results for "lung disease preterm"
Research
The influence of sighing respirations on infant lung function measured using multiple breath washout gas mixing techniquesThere is substantial interest in studying lung function in infants, to better understand the early life origins of chronic lung diseases such as asthma.
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Wal-yan researchers welcomed at scientific meeting in New ZealandMore than 14 researchers from the Wal-yan Respiratory Research Centre will be welcomed as presenters and facilitators at The Thoracic Society of Australia and New Zealand and The Australia and New Zealand Society of Respiratory Science (TSANZSRS) Annual Scientific Meeting (ASM) this weekend.
Research
Developing clinical predictors of disease progression in children with neuromuscular disorders to prevent future respiratory failureGraham Hall BAppSci PhD CRFS FANZSRS FThorSoc FERS Honorary Research Associate Honorary Research Associate Professor Graham Hall is an
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Association between diesel engine exhaust exposure and lung function in Australian gold minersDiesel engine exhaust exposures were higher in underground miners and had a negative association with their lung function over a single 12-h shift
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Oscillometry: clinical significance and applicationsRespiratory oscillometry (or the forced oscillation technique) is a highly practical lung function test that can be applied in a wide range of clinical scenarios in children and adults, including the clinic, intensive care unit, patient home monitoring and emergency departments. Oscillometry measurements complement spirometry in detecting abnormal lung function, measuring effects of treatment such as inhaled corticosteroids or bronchodilators, and changes due to disease activity.
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Evaluating hypoxia during air travel in healthy infantsUp to a third of ex-preterm infants flying near term exhibit pulse oxygen saturation (SpO2) of less than 85% during air travel.
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Multiple-breath washout outcomes are sensitive to inflammation and infection in children with cystic fibrosisThe lung clearance index may be a useful surveillance tool for monitoring the presence and extent of lower airway inflammation and infection
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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 association between Staphylococcus aureus and subsequent bronchiectasis in children with cystic fibrosisDe novo S. aureus acquisition at age 3 is associated with later bronchiectasis and FEF25-75 in children with CF
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Intra-breath measures of respiratory mechanics in healthy African infants detect risk of respiratory illness in early lifeIntra-breath forced oscillation technique can identify healthy infants at risk of developing LRTI, wheezing or severe illness in the first year of life