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Metabolomics to predict asthma in children (MAP Study)

Childhood asthma begins as wheeze (a whistling sound produced by the airways during breathing) during pre­school age.

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

Rachel Graham Alexandra Foong Hall Whelan BSc (hons), PhD, MBiostat BAppSci PhD CRFS FANZSRS FThorSoc FERS BSc, MPH Honorary Research Associate

Preventing perioperative respiratory complications in children with recurrent respiratory symptoms

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

Developing metabolomics profiles to differentiate between healthy, preschool wheeze and asthma

André Graham Ingrid Schultz Hall Laing MBChB, PhD, FRACP BAppSci PhD CRFS FANZSRS FThorSoc FERS BSc PhD Head, BREATH Team Honorary Research Associate

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 BAppSci PhD CRFS FANZSRS FThorSoc FERS BMedSci (Dist) MBBS, PhD (Dist) FRACP BMedSci (hons), PhD Honorary

Normative multiple-breath washout data in school-aged children corrected for sensor error

Graham Kathryn Rachel Alana Hall Ramsey Foong Harper BAppSci PhD CRFS FANZSRS FThorSoc FERS BSc (Hons), PhD BSc (hons), PhD, MBiostat BSc (hons)

Normative data for multiple breath washout outcomes in school-aged Caucasian children

The multiple breath nitrogen washout (N2MBW) technique is increasingly used to assess the degree of ventilation inhomogeneity in school-aged children with lung disease. However, reference values for healthy children are currently not available.

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.

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.

Pulmonary Gas Exchange Improves over the First Year in Preterm Infants with and without Bronchopulmonary Dysplasia

Right shift of the peripheral oxyhaemoglobin saturation (SpO2) versus inspired oxygen pressure (PIO2) curve is a sensitive marker of pulmonary gas exchange. The aim of this study was to assess the impact of prematurity and bronchopulmonary dysplasia (BPD) on gas exchange and right-to-left shunt in the neonatal period, and its evolution over the first year of life.