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Research

Cohort profile: The WAACHS Linked Data Study

Despite the volume of accumulating knowledge from prospective Aboriginal cohort studies, longitudinal data describing developmental trajectories in health and well-being is limited.

Research

Comparing home polysomnography with transcutaneous CO2 monitoring to laboratory polysomnography in children with neuromuscular disorders

Clinical utility of home polysomnography in children with neuromuscular disorders is limited by lack of evidence that sleep-disordered breathing can be reliably identified and inability to diagnose hypoventilation because carbon dioxide is not measured.

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Lung volumes, gas transfer and oscillometry after preterm birth: systematic review and meta-analysis

Small airway and lung parenchymal abnormalities frequently occur following preterm birth but are commonly missed by spirometry. Static lung volumes, diffusing capacity of the lung for carbon monoxide (D LCO) and oscillometry provide a more precise characterisation of these conditions. We hypothesised that differences in these measures exist between individuals born preterm and at term and we aimed to systematically review the literature to identify and quantify these differences in lung function.

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Global participatory wastewater surveillance to understand mpox clade diversity in war and conflict-affected countries

War and conflict severely disrupt public health systems, compromising infectious disease surveillance in many affected regions. Mpox, a re-emerging zoonotic disease, poses a growing global threat, especially in areas where traditional monitoring is inaccessible.The mpox virus has distinct clades with varying transmission and severity.

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Pulmonary bacteriophage and cystic fibrosis airway mucus: friends or foes?

For those born with cystic fibrosis (CF), hyper-concentrated mucus with a dysfunctional structure significantly impacts CF airways, providing a perfect environment for bacterial colonization and subsequent chronic infection. Early treatment with antibiotics limits the prevalence of bacterial pathogens but permanently alters the CF airway microenvironment, resulting in antibiotic resistance and other long-term consequences.

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Detection of bile acids in bronchoalveolar lavage fluid defines the inflammatory and microbial landscape of the lower airways in infants with cystic fibrosis

Cystic Fibrosis (CF) is a genetic condition characterized by neutrophilic inflammation and recurrent infection of the airways. How these processes are initiated and perpetuated in CF remains largely unknown. We have demonstrated a link between the intestinal microbiota-related metabolites bile acids and inflammation in the bronchoalveolar lavage fluid from children with stable CF lung disease.

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Improving screening in a paediatric cohort for cystic fibrosis-related diabetes: A quality improvement project

André Schultz MBChB, PhD, FRACP Head, BREATH Team Head, BREATH Team Prof André Schultz is the Head, BREATH Team at The Kids Research Institute

Research

Fathers’ preconception smoking and offspring DNA methylation

Experimental studies suggest that exposures may impact respiratory health across generations via epigenetic changes transmitted specifically through male germ cells. Studies in humans are, however, limited. We aim to identify epigenetic marks in offspring associated with father's preconception smoking.

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Associations between respiratory and vascular function in early childhood

The link between respiratory and vascular health is well documented in adult populations. Impaired lung function is consistently associated with thicker arteries and higher incidence of cardiovascular disease. However, there are limited data on this relationship in young children and the studies that exist have focussed on populations at high risk of cardiorespiratory morbidity.

Research

Differential cell counts using center-point networks achieves human-level accuracy and efficiency over segmentation

Differential cell counts is a challenging task when applying computer vision algorithms to pathology. Existing approaches to train cell recognition require high availability of multi-class segmentation and/or bounding box annotations and suffer in performance when objects are tightly clustered.