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Virome assembly reveals draft genomes of native Pseudomonas phages isolated from a paediatric bronchoalveolar lavage sample

We present lung virome data recovered through shotgun metagenomics in bronchoalveolar lavage fluid from an infant with cystic fibrosis, who tested positive for Stenotrophomonas maltophilia infection. Using a bioinformatic pipeline for virus characterization in shotgun metagenomic data, we identified five viral contigs representing Pseudomonas phages classified as Caudoviricetes.

A pilot study of disease related education and psychotherapeutic support for unresolved grief in parents of children with CF

Diagnosis of chronic disease in a child can result in unresolved grief (UG) in parents. This study aimed to evaluate the efficacy of psychological insight-oriented therapy (IOT) as a treatment for UG compared to disease related education in parents of children with cystic fibrosis. Sequence of delivery, first IOT then disease related education (or vice versa) was also examined, to let all participants experience both interventions.

Fissure adjacent partial lobe atelectasis in primary ciliary dyskinesia

Establishing the underlying cause in a child with chronic suppurative lung disease (CSLD) allows for targeted treatment and screening for associated complications. One cause of CSLD is primary ciliary dyskinesia (PCD). Testing for PCD requires specialist expertise which is not widely available.

Aboriginal perspectives on recognising clinical deterioration in their child and communicating concerns to clinicians

To explore the perspectives of family members of Aboriginal children about a) their involvement in recognising clinical deterioration in a hospital setting and b) the effectiveness of a poster designed to promote family involvement.

Preferred health outcome states following treatment for pulmonary exacerbations of cystic fibrosis

Treatment for pulmonary exacerbations of cystic fibrosis (CF) can produce a range of positive and negative outcomes. Understanding which of these outcomes are achievable and desirable to people affected by disease is critical to agreeing to goals of therapy and determining endpoints for trials.

Conducting decolonizing research and practice with Australian First Nations to close the health gap

The purpose of this paper is to highlight a perspective for decolonizing research with Australian First Nations and provide a framework for successful and sustained knowledge translation by drawing on the recent work conducted by a research group, in five remote communities in North-Western Australia.

Duration of amoxicillin-clavulanate for protracted bacterial bronchitis in children (DACS): a multi-centre, double blind, randomised controlled trial

Protracted bacterial bronchitis (PBB) is a leading cause of chronic wet cough in children. The current standard treatment in European and American guidelines is 2 weeks of antibiotics, but the optimal duration of therapy is unknown. We describe the first randomised controlled trial to assess the duration of antibiotic treatment in children with chronic wet cough and suspected PBB.

Paediatric headbox as aerosol and droplet barrier

High-flow nasal oxygen (HFNO) is frequently used in hospitals, producing droplets and aerosols that could transmit SARS-CoV-2. Our aim was to determine if a headbox could reduce droplet and aerosol transmission from patients requiring HFNO.

Variation in treatment preferences of pulmonary exacerbations among Australian and New Zealand cystic fibrosis physicians

Despite advances in cystic fibrosis (CF) management and survival, the optimal treatment of pulmonary exacerbations remains unclear. Understanding the variability in treatment approaches among physicians might help prioritise clinical uncertainties to address through clinical trials.

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.