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Applying spirometry phenotypes to a longitudinal cohort born very preterm

Tiffany K Bradshaw1,2, Sanja Stanojevic3, Shannon J Simpson4,2

  • 1Wal-yan Respiratory Research Centre, Foundations of Lung Disease, The Kids Research Institute Australia, Perth, Western Australia, Australia.

Insights

Adult spirometry classifications for lung disease in preterm infants are unstable over time. This suggests current methods may not fully capture the lung development complexities in this population.

Area of Science:

  • Pediatric Pulmonology
  • Respiratory Medicine
  • Neonatology

Background:

  • Prematurity-associated lung disease requires better characterization in adults.
  • Adult spirometry classifications (obstructive lung disease, preserved ratio impaired spirometry, dysanapsis) are being applied to children born preterm.
  • Longitudinal tracking of these phenotypes in preterm children is currently unknown.

Purpose of the Study:

  • To apply spirometry phenotype classifications to a longitudinal cohort of children born very preterm (≤32 weeks gestation).
  • To track changes in these spirometry classifications from early childhood through adolescence.

Main Methods:

  • Retrospective longitudinal cohort study of children born very preterm (1997-2003) in Western Australia.
  • Follow-up occurred between 2007 and 2022, with spirometry and questionnaires at early childhood (4-8 yrs), middle childhood (9-12 yrs), and adolescence (16-23 yrs).
  • Spirometry phenotype classifications were applied at each time point for participants with acceptable spirometry.

Main Results:

  • 200 participants provided 311 acceptable spirometry measurements.
  • Abnormal spirometry phenotypes were present in 29% (early childhood), 41% (middle childhood), and 43% (adolescence).
  • 36% of participants with serial measurements changed phenotypes, with many near abnormal classification thresholds.

Conclusions:

  • The instability of adult spirometry classifications in preterm children suggests they may not adequately capture lung disease complexity during growth.
  • It remains unclear if observed phenotype changes reflect biological variability or actual disease progression.
  • Further research is needed to refine lung disease phenotyping in preterm populations.
Abstract

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