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    End-inspiratory molar mass step correction for analysis of infant multiple breath washout tests

    Access Status
    Open access via publisher
    Authors
    Foong, R.
    Rosenow, T.
    Simpson, S.
    Stöklin, B.
    Gray, D.
    Pillow, J.
    Hall, Graham
    Ramsey, K.
    Date
    2017
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Foong, R. and Rosenow, T. and Simpson, S. and Stöklin, B. and Gray, D. and Pillow, J. and Hall, G. et al. 2017. End-inspiratory molar mass step correction for analysis of infant multiple breath washout tests. Pediatric Pulmonology. 52 (1): pp. 10-13.
    Source Title
    Pediatric Pulmonology
    DOI
    10.1002/ppul.23499
    ISSN
    8755-6863
    School
    School of Physiotherapy and Exercise Science
    URI
    http://hdl.handle.net/20.500.11937/54226
    Collection
    • Curtin Research Publications
    Abstract

    A refined software algorithm was recently proposed for the analysis of infant multiple breath washout (MBW) measurements. The proposed algorithm uses the change in end-inspiratory molar mass between the wash-in and wash-out curves (EIMM-step) to define the required step response correction of the MM signal and is assumed to provide an accurate evaluation of complete washout of the tracer gas, in comparison to the current software algorithm which applies the change in end-expiratory molar mass (EEMM)-step. We aimed to evaluate the use of the EIM M-step method in a broad range of infants. We performed retrospective analyses comparing the EIMM- and EEMM-step change methods in MBW data collected from infants with cystic fibrosis (CF), infants born preterm, and healthy infants using an ultrasonic flowmeter. We found that the EIMM-step correction significantly increased LCI and functional residual capacity (FRC) in infants with CF, preterm infants, and healthy infants compared with the EEMM-step method. In addition, more than half the measurements that were technically acceptable and repeatable using the EEMM-step correction in healthy infants were excluded after using the EIMM-step correction. We found a large difference between the EIMM- and EEMM-steps in healthy infants indicating incomplete washout, suggesting the need for a longer washout time with using the EIMM-step analysis method. The data indicates that the EIMM-step analysis method may have the potential to generate false abnormal LCI values in individuals without lung disease. Revised normative data may be required if this method is universally adopted.

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