ReCIVA breath sampling in pediatric asthma: a feasibility study

ReCIVA breath sampling in pediatric asthma: a feasibility study

Holden1, T. Mcnally1, D. Salman2, C. Beardsmore1, W. Ibrahim1, C. Brightling1, S. Siddiqui1, P. Thomas2, E. Gaillard1

1University of Leicester - Leicester (United Kingdom), 2University of Loughborough - Loughborough (United Kingdom

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Introduction: Diagnosing asthma in children is challenging and no gold standard diagnostic test exists. Novel non-invasive breath analysis approaches could assist in diagnosis and phenotyping of children with asthma. In the EMBER clinical trial, a ReCIVA breath sampling device was used for bedside breath collection to carry out advanced metabolomics studies. Our aim was to evaluate the feasibility of this breath sampling technology in children.  Methods: Samples were taken from children attending hospital with either an acute exacerbation of asthma or stable chronic asthma, and healthy controls. They breathed into the ReCIVA sampler tidally for a maximum of 900s. Two samples were collected for each subject on thermal desorption tubes for analysis by gas chromatography-mass spectrometry. A percentage of breath collected was calculated for each child. For each breath sample, two other samples were collected to capture the environmental air and ReCIVA air supply profiles, necessary for the background subtraction process to identify true breath related endogenous compounds.  Results: 51 children participated with a mean age of 11yr (range 5-16). 12 had an acute exacerbation of asthma, 30 had stable chronic asthma and 9 were controls. All tolerated the sampling process and 80% provided 100% of the target breath sampling collection.  Discussion: Non-invasive breath analysis in children of varying age with acute and chronic illnesses is feasible. Ongoing work includes a) continuing the analysis of samples and b) following metabolomics data workflow to create a breath matrix. Statistical analysis will allow us to extract target biomarkers with the ultimate aim of improving asthma diagnosis and phenotyping in children.




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