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Research
Early disease surveillance in young children with cystic fibrosis: A qualitative analysis of parent experiencesSensitive measures of early lung disease are being integrated into therapeutic trials and clinical practice in cystic fibrosis (CF). The impact of early disease surveillance (EDS) using these novel and often intensive techniques on young children and their families is not well researched.
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Mucus and mucus flake composition and abundance reflect inflammatory and infection status in cystic fibrosisMucus hyperconcentration in cystic fibrosis (CF) lung disease is marked by increases in both mucin and DNA concentration. Additionally, it has been shown that half of the mucins present in bronchial alveolar lavage fluid from preschool-aged CF patients are present in as non-swellable mucus flakes.
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Lung inflammation and simulated airway resistance in infants with cystic fibrosisCystic fibrosis (CF) is characterized by small airway disease; but central airways may also be affected. We hypothesized that airway resistance estimated from computational fluid dynamic (CFD) methodology in infants with CF was higher than controls and that early airway inflammation in infants with CF is associated with airway resistance.
News & Events
Promising results for new Western Australian-pioneered cystic fibrosis drugChildren with cystic fibrosis will be included in the next phase of a clinical trial of a promising new treatment pioneered in Western Australia aimed at boosting their immune responses to infections. Originally developed by researchers at The Kids Research Institute Australia and Perth Children’s Hospital.
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Telethon Institute awarded two national Centres of Research ExcellenceTelethon Institute awarded two national Centres of Research Excellence
Research
SYNERGY CF: Getting the best start to life - preventing early cystic fibrosis lung disease by solving the host-inflammation infection conundrumCystic fibrosis related progressive lung disease characterised by inflammation and infection commences soon after birth.
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Multilocus Sequence Typing Reveals Extensive Genetic Diversity of the Emerging Fungal Pathogen Scedosporium aurantiacumScedosporium spp. are the second most prevalent filamentous fungi after Aspergillus spp. recovered from cystic fibrosis (CF) patients in various regions of the world. Although invasive infection is uncommon prior to lung transplantation, fungal colonization may be a risk factor for invasive disease with attendant high mortality post-transplantation. Abundant in the environment, Scedosporium aurantiacum has emerged as an important fungal pathogen in a range of clinical settings.
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The measurement properties of tests and tools used in cystic fibrosis studies: a systematic reviewThere is no consensus on how best to measure responses to interventions among children and adults with cystic fibrosis (CF). We have systematically reviewed and summarised the characteristics and measurement properties of tests and tools that have been used to capture outcomes in studies among people with CF, including their reliability, validity and responsiveness. This review is intended to guide researchers when selecting tests or tools for measuring treatment effects in CF trials. A consensus set of these tests and tools could improve consistency in how outcomes are captured and thereby facilitate comparisons and synthesis of evidence across studies.
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A screening tool to identify risk for bronchiectasis progression in children with cystic fibrosisThe marked heterogeneity in cystic fibrosis (CF) disease complicates the selection of those most likely to benefit from existing or emergent treatments. We aimed to predict the progression of bronchiectasis in preschool children with CF.
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Novel method to select meaningful outcomes for evaluation in clinical trialsA standardised framework for selecting outcomes for evaluation in trials has been proposed by the Core Outcome Measures in Effectiveness Trials working group. However, this method does not specify how to ensure that the outcomes that are selected are causally related to the disease and the health intervention being studied. Causal network diagrams may help researchers identify outcomes that are both clinically meaningful and likely to be causally dependent on the intervention, and endpoints that are, in turn, causally dependent on those outcomes.