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Research

Evolution of pulmonary inflammation and nutritional status in infants and young children with cystic fibrosis

Improved nutrition is the major proven benefit of newborn screening programmes for cystic fibrosis (CF) and is associated with better clinical outcomes.

Research

Value of serology in predicting Pseudomonas aeruginosa infection in young children with cystic fibrosis

erology, predicting, Pseudomonas aeruginosa infection, young children, cystic fibrosis

Research

Minimal structural lung disease in early life represents significant pathology

In this cohort, as compared with the AREST CF cohort, the authors highlight the limited correlation between infection and inflammation with lung function and structural impairment, and that this was mainly explained by the mild changes identified in lung function and on chest CT scan.

Research

Multilocus Sequence Typing Reveals Extensive Genetic Diversity of the Emerging Fungal Pathogen Scedosporium aurantiacum

Scedosporium 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.

Research

A screening tool to identify risk for bronchiectasis progression in children with cystic fibrosis

The 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.

Research

The measurement properties of tests and tools used in cystic fibrosis studies: a systematic review

There 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.

Research

Feasibility of unsedated lung MRI in young children with cystic fibrosis

Kathryn Ramsey BSc (Hons), PhD Co-Head, Children's Lung Health kathryn.ramsey@thekids.org.au Co-Head, Children's Lung Health Associate Professor

Research

The SPEC scoreā€”A quantifiable CT scoring system for primary ciliary dyskinesia

Structural lung changes seen on computed tomography scans in persons with primary ciliary dyskinesia are currently described using cystic fibrosis derived scoring systems. Recent work has shown structural changes and frequencies that are unique to PCD, indicating the need for a unique PCD-derived scoring system.

Research

The effect of CFTR modulators on structural lung disease in cystic fibrosis

Newly developed quantitative chest computed tomography (CT) outcomes designed specifically to assess structural abnormalities related to cystic fibrosis (CF) lung disease are now available. CFTR modulators potentially can reduce some structural lung abnormalities. We aimed to investigate the effect of CFTR modulators on structural lung disease progression using different quantitative CT analysis methods specific for people with CF (PwCF).

Research

Novel method to select meaningful outcomes for evaluation in clinical trials

A 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.