ArticleERJ open research2023
Normal values of respiratory oscillometry in South African children and adolescents.
Article in ERJ open research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 10 citations in OpenAlex.
- Long term outcome following pulmonary TB or lower respiratory tract illness in children: a prospective South African study.EClinicalMedicine · 2026Article
- The use of forced oscillation technique in children with restrictive physiology.Breathe (Sheffield, England) · 2025Article
- Height seems to be the only variable that determines lung oscillometry indices.ERJ open research · 2024Article
- Preschool impulse oscillometry predicts active asthma and impaired lung function at school age.The Journal of allergy and clinical immunology · 2024Article
- Determinants of lung function development from birth to age 5 years: an interrupted time series analysis of a South African birth cohort.The Lancet. Child & adolescent health · 2024Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 3 countries.
Funding
Abstract
Introduction: Noninvasive measurement of respiratory impedance by oscillometry can be used in young children aged from 3 years and those unable to perform forced respiratory manoeuvres. It can discriminate between healthy children and those with respiratory disease. However, its clinical application is limited by the lack of reference data for African paediatric populations. The aim of the present study was to develop reference equations for oscillometry outcomes in South African children and adolescents. Methods: Healthy subjects, enrolled in the Drakenstein Child Health Study, HIV-uninfected adolescents in the Cape Town Adolescent Antiretroviral Cohort and healthy children attending surgical outpatient clinics at Red Cross War Memorial Children's Hospital were measured with conventional spectral (6-32 Hz) and intra-breath (10 Hz) oscillometry. Stepwise linear regression was used to assess the relationship between respiratory variables and anthropometric predictors (height, sex, ancestry) to generate reference equations. Results: A total of 692 subjects, 48.4% female, median age of 5.2 years (range: 3-17 years) were included. The median (interquartile range (IQR)) for weight for age z-score and height for age z-score was -0.42 (-1.11-0.35) and -0.65 (-1.43-0.35), respectively. Stepwise regression demonstrated that all the variables were significantly dependent on height only. Comparison to previous reference data indicated slightly higher resistance and lower compliance values in the smallest children. Conclusion: We established the first respiratory oscillometry reference equations for African children and adolescents, which will facilitate use in early identification and management of respiratory disease. Our results suggest differences in oscillometry measures by ancestry but also highlight the lack of standardisation in methodology.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.