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Showing results for "Neuromuscular disorders "

Research

Determinants of early-life lung function in African infants

To assess the determinants of early lung function in African infants.

Research

The association between Staphylococcus aureus and subsequent bronchiectasis in children with cystic fibrosis

De novo S. aureus acquisition at age 3 is associated with later bronchiectasis and FEF25-75 in children with CF

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A systematic approach to multiple breath nitrogen washout test quality

The application of the systematic review improved inter-observer agreement but did not affect reported multiple breath washout outcomes

Research

Infant respiratory infections and later respiratory hospitalisation in childhood

The aim of this study was to use total-population based data on an otherwise healthy population of children to assess the relationship between early...

Research

The Global Asthma Network: Understanding asthma in urban and regional Western Australia

Rachel Graham Alexandra Foong Hall Whelan RF GL AW BSc (hons), PhD, MBiostat BAppSci PhD CRFS FANZSRS FThorSoc FERS BSc, MPH Senior Research Fellow

Research

Preventing perioperative respiratory complications in children with recurrent respiratory symptoms

Elizabeth Graham Smith Hall ES GL PhD, MSc, BSc BAppSci PhD CRFS FANZSRS FThorSoc FERS Program Manager Honorary Research Associate 08 6319 1178

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PREDICT CF: Assessing the role of lung clearance index in predicting disease progression in children with cystic fibrosis

Stephen Graham Elizabeth Stick Hall Smith SM GL ES MB BChir PhD MRCP FRACP BAppSci PhD CRFS FANZSRS FThorSoc FERS PhD, MSc, BSc Head, P4 Respiratory

Research

The development and refinement of a sensitive bedside test to continually measure the severity of BPD and lung development in preterm infants

Graham Jane Shannon Hall Pillow Simpson GL JP SS BAppSci PhD CRFS FANZSRS FThorSoc FERS BMedSci (Dist) MBBS, PhD (Dist) FRACP BMedSci (hons), PhD

Research

Clinical significance and applications of oscillometry

Recently, "Technical standards for respiratory oscillometry" was published, which reviewed the physiological basis of oscillometric measures and detailed the technical factors related to equipment and test performance, quality assurance and reporting of results. Here we present a review of the clinical significance and applications of oscillometry.

Research

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.