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Prediction of peri-operative adverse respiratory events in children: The role of exhaled nitric oxide.

Increased levels of exhaled nitric oxide (eNO) may be a more objective predictor in identifying children at higher risk of peri-operative adverse respiratory...

Peri-operative adverse respiratory events in children

We screened for risk factors from children's and their families' histories, and assessed the usefulness of common markers of allergic sensitisation of the...

Could home-based FeNO measurements breathe new life into asthma management?

Developing a FeNO test that is affordable enough to allow daily measurements, patients will be able to access quantifiable data to assist them to monitor their asthma

Maternal exposure to indoor air pollution and birth outcomes

Although formaldehyde concentrations were very low, this finding is consistent with other studies of formaldehyde and poor birth outcomes

ERS technical standard on bronchial challenge testing: pathophysiology and methodology of indirect airway challenge testing

Assessment of airway hyperresponsiveness are valuable tools to understand and to monitor airway function and to characterise the underlying asthma phenotype to guide therapy

Inhalational versus Intravenous Induction of Anesthesia in Children with a High Risk of Perioperative Respiratory Adverse Events: A Randomized Controlled Trial

Anesthesiologists should consider using an intravenous propofol induction technique in children who are at high risk of experiencing perioperative respiratory adverse event

Reduced forced vital capacity in Aboriginal Australians: Biology or missing evidence?

This editorial article addresses chronic obstructive pulmonary disease and lung function testing in Aboriginal Australians.

Persistent activation of interlinked type 2 airway epithelial gene networks in sputum-derived cells from aeroallergen-sensitized symptomatic asthmatics

Our findings provide new insight into the molecular mechanisms operative at baseline in the airway mucosa in atopic asthmatic with natural aeroallergen exposure

Personalised, machine learning based prediction of asthma in children

This study aims to show that asthma and allergies in individuals can be predicted before it occurs based on individual family history and information on the early environment.

Meet our Deputy Director, Professor Graham Hall

Professor Graham Hall says one of the best things about research is seeing his students and colleagues succeed.