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Research

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

Research

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

News & Events

Lung problems continue into childhood for premmie babies

New research from Perth’s The Kids Research Institute Australia shows that babies born premature continue to have lung problems well into childhood.

News & Events

The Kids Research Institute Australia welcomes tough new measures to save kids from vaping

The Kids Research Institute Australia strongly supports the Federal Government’s announcement today to introduce a suite of reforms aimed at banning non-prescription vaping products in Australia.

Research

Prevalence of chronic respiratory diseases in Aboriginal children: A whole population study

The burden of bronchiectasis is disproportionately high in Aboriginal adults, with early mortality. Bronchiectasis precursors, that is, protracted bacterial bronchitis and chronic suppurative lung disease, often commence in early childhood.

Research

Associations of early-life pet ownership with asthma and allergic sensitization: A meta-analysis of more than 77,000 children from the EU Child Cohort Network

Studies examining associations of early-life cat and dog ownership with childhood asthma have reported inconsistent results. Several factors could explain these inconsistencies, including type of pet, timing, and degree of exposure. Our aim was to study associations of early-life cat and dog ownership with asthma in school-aged children, including the role of type (cat vs dog), timing (never, prenatal, or early childhood), and degree of ownership (number of pets owned), and the role of allergic sensitization.

Research

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.

Research

Variants associated with HHIP expression have sexdifferential effects on lung function

Lung function is highly heritable and differs between the sexes throughout life. However, little is known about sexdifferential genetic effects on lung function. We aimed to conduct the first genome-wide genotype-by-sex interaction study on lung function to identify genetic effects that differ between males and females.

Research

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 life

An 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.

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.