Intra-breath measures of respiratory mechanics in healthy African infants detect risk of respiratory illness in early life

Lower respiratory tract illness (LRTI) is a leading cause of mortality and morbidity in children. Sensitive and noninvasive infant lung function techniques are needed to measure risk for and impact of LRTI on lung health. The objective of this study was to investigate whether lung function derived f...

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Main Authors: Gray, D., Czovek, D., McMillan, L., Turkovic, L., Stadler, J., Vanker, A., Radics, B., Gingl, Z., Hall, Graham, Sly, P., Zar, H., Hantos, Z.
Format: Journal Article
Published: 2018
Online Access:http://hdl.handle.net/20.500.11937/74886
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author Gray, D.
Czovek, D.
McMillan, L.
Turkovic, L.
Stadler, J.
Vanker, A.
Radics, B.
Gingl, Z.
Hall, Graham
Sly, P.
Zar, H.
Hantos, Z.
author_facet Gray, D.
Czovek, D.
McMillan, L.
Turkovic, L.
Stadler, J.
Vanker, A.
Radics, B.
Gingl, Z.
Hall, Graham
Sly, P.
Zar, H.
Hantos, Z.
author_sort Gray, D.
building Curtin Institutional Repository
collection Online Access
description Lower respiratory tract illness (LRTI) is a leading cause of mortality and morbidity in children. Sensitive and noninvasive infant lung function techniques are needed to measure risk for and impact of LRTI on lung health. The objective of this study was to investigate whether lung function derived from the intra-breath forced oscillation technique (FOT) was able to identify healthy infants at risk of LRTI in the first year of life. Lung function was measured with the novel intra-breath FOT, in 6-week-old infants in a South African birth cohort (Drakenstein Child Health Study). LRTI during the first year was confirmed by study staff. The association between baseline lung function and LRTI was assessed with logistic regression and odds ratios determined using optimal cut-off values. Of the 627 healthy infants with successful lung function testing, 161 (24%) had 238 LRTI episodes subsequently during the first year. Volume dependence of respiratory resistance (ΔR) and reactance (ΔX) was associated with LRTI. The predictive value was stronger if LRTI was recurrent (n=50 (31%): OR 2.5, ΔX), required hospitalisation (n=38 (16%): OR 5.4, ΔR) or was associated with wheeze (n=87 (37%): OR 3.9, ΔX). Intra-breath FOT can identify healthy infants at risk of developing LRTI, wheezing or severe illness in the first year of life.
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spelling curtin-20.500.11937-748862019-05-02T08:34:14Z Intra-breath measures of respiratory mechanics in healthy African infants detect risk of respiratory illness in early life Gray, D. Czovek, D. McMillan, L. Turkovic, L. Stadler, J. Vanker, A. Radics, B. Gingl, Z. Hall, Graham Sly, P. Zar, H. Hantos, Z. Lower respiratory tract illness (LRTI) is a leading cause of mortality and morbidity in children. Sensitive and noninvasive infant lung function techniques are needed to measure risk for and impact of LRTI on lung health. The objective of this study was to investigate whether lung function derived from the intra-breath forced oscillation technique (FOT) was able to identify healthy infants at risk of LRTI in the first year of life. Lung function was measured with the novel intra-breath FOT, in 6-week-old infants in a South African birth cohort (Drakenstein Child Health Study). LRTI during the first year was confirmed by study staff. The association between baseline lung function and LRTI was assessed with logistic regression and odds ratios determined using optimal cut-off values. Of the 627 healthy infants with successful lung function testing, 161 (24%) had 238 LRTI episodes subsequently during the first year. Volume dependence of respiratory resistance (ΔR) and reactance (ΔX) was associated with LRTI. The predictive value was stronger if LRTI was recurrent (n=50 (31%): OR 2.5, ΔX), required hospitalisation (n=38 (16%): OR 5.4, ΔR) or was associated with wheeze (n=87 (37%): OR 3.9, ΔX). Intra-breath FOT can identify healthy infants at risk of developing LRTI, wheezing or severe illness in the first year of life. 2018 Journal Article http://hdl.handle.net/20.500.11937/74886 10.1183/13993003.00998-2018 restricted
spellingShingle Gray, D.
Czovek, D.
McMillan, L.
Turkovic, L.
Stadler, J.
Vanker, A.
Radics, B.
Gingl, Z.
Hall, Graham
Sly, P.
Zar, H.
Hantos, Z.
Intra-breath measures of respiratory mechanics in healthy African infants detect risk of respiratory illness in early life
title Intra-breath measures of respiratory mechanics in healthy African infants detect risk of respiratory illness in early life
title_full Intra-breath measures of respiratory mechanics in healthy African infants detect risk of respiratory illness in early life
title_fullStr Intra-breath measures of respiratory mechanics in healthy African infants detect risk of respiratory illness in early life
title_full_unstemmed Intra-breath measures of respiratory mechanics in healthy African infants detect risk of respiratory illness in early life
title_short Intra-breath measures of respiratory mechanics in healthy African infants detect risk of respiratory illness in early life
title_sort intra-breath measures of respiratory mechanics in healthy african infants detect risk of respiratory illness in early life
url http://hdl.handle.net/20.500.11937/74886