Evidence map›Paper›PMID 42242831›Full record

ArticleBMJ open respiratory research2026

Applying spirometry phenotypes to a longitudinal cohort born very preterm.

Tiffany K Bradshaw, Sanja Stanojevic, Shannon J Simpson

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Article in BMJ open respiratory research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Tiffany K BradshawWal-yan Respiratory Research Centre, Foundations of Lung Disease, The Kids Research Institute Australia, Perth, Western Australia, Australia.ORCID http://orcid.org/0000-0003-2696-1398
Sanja StanojevicDepartment of Community Health and Epidemiology, Faculty of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada.ORCID http://orcid.org/0000-0001-7931-8051
Shannon J SimpsonWal-yan Respiratory Research Centre, Foundations of Lung Disease, The Kids Research Institute Australia, Perth, Western Australia, Australia shannon.simpson@thekids.org.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo better characterise prematurity-associated lung disease, adult spirometry phenotype classifications (obstructive lung disease, preserved ratio impaired spirometry and dysanapsis) have been applied to children born preterm. It is unknown how these phenotypes track over time.

aimApply spirometry phenotype classifications to a longitudinal cohort born very preterm (≤32 weeks gestation) and track changes in classifications from early childhood to adolescence.

methodsThis retrospective longitudinal cohort study included children born very preterm in Western Australia between 1997 and 2003, followed up between 2007 and 2022. Spirometry testing and a modified International Study of Asthma and Allergies in Childhood questionnaire were completed at early childhood (4-8 years), middle childhood (9-12 years) and adolescence (16-23 years). Spirometry phenotype classifications were applied to each participant with acceptable spirometry at each time point.

results200 participants completed 311 acceptable spirometry measurements. Abnormal spirometry phenotypes were observed in 29% of participants at early childhood, 41% at middle childhood and 43% at adolescence. Of those with spirometry measurements across at least two time points, 36% changed phenotypes (e.g. from normal to abnormal, from abnormal to normal or changed between the abnormal groups). Many of those that changed phenotype classification had a forced expiratory volume in 1 s (FEV

conclusionIt remains unclear whether changes in phenotype reflects the biological variability of the measure or disease progression. The instability of adult spirometry classifications across serial spirometry measurements suggests this approach does not adequately capture the complexity of prematurity-associated lung disease during the growth period.

Indexed as

Infant, Extremely PrematureLung Diseases, ObstructiveSpirometryAdolescentChildChild, PreschoolFemaleForced Expiratory VolumeHumansInfant, NewbornLongitudinal StudiesMalePhenotypeRetrospective StudiesWestern AustraliaYoung AdultLung PhysiologyPaediatric Lung DiseasePaediatric PhysicianPulmonary Disease, Chronic ObstructiveRespiratory Function TestRespiratory Measurement

Identifiers

PMID42242831
PMCPMC13239583

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