Evidence map›Paper›PMID 42894099›Full record

ArticleAnnals of biomedical engineering2026

Respiratory Impedance Prediction in Children and Adolescents: A Meta-Modelling Approach.

Anuva Chowdhury, Md Mokammel Haque, Mathias Baumert

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Article in Annals of biomedical engineering, 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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5 · Who and what money

Authors and funding

3 authors.

Anuva ChowdhuryDiscipline of Biomedical Engineering, Adelaide University, Adelaide, Australia. anuva.chowdhury@adelaide.edu.au.ORCID http://orcid.org/0009-0008-7958-1720
Md Mokammel HaqueDiscipline of Biomedical Engineering, Adelaide University, Adelaide, Australia.ORCID http://orcid.org/0000-0003-3396-6568
Mathias BaumertDiscipline of Biomedical Engineering, Adelaide University, Adelaide, Australia.ORCID http://orcid.org/0000-0003-2984-2167

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Respiratory oscillometry provides a simple, noninvasive method for assessing pulmonary function in children and is particularly sensitive to small airway obstruction. But its clinical application remains limited due to the lack of widely accepted reference values. In this study, we developed generalized meta-model equations for respiratory resistance and reactance at 5 Hz in children and adolescents using synthetic data generated from published paediatric oscillometric reference equations. A total of 25 reference equations reported since 2000 were analysed to identify the demographic and methodological factors contributing to variability among existing prediction models. Subsequently, a synthetic dataset comprising 70 healthy children and adolescents aged 2-19 years was generated using physiologically realistic anthropometric combinations derived from established paediatric growth references. Pearson correlation analysis revealed that height, age, and weight were significantly associated with both resistance and reactance, and variance inflation factor analysis indicated strong multicollinearity among these variables. Despite differences among published equations, strong agreement was observed across studies, with correlation coefficients exceeding 0.95 for resistance equations and 0.92 for reactance equations, and most predictions remaining within a ± 30% tolerance range. Stepwise multivariable regression was then used to develop generalized meta-model equations, yielding coefficients of determination of approximately 0.84 for both resistance and reactance at 5Hz. The proposed meta-models were further evaluated across different airway impairment states and bronchodilator responses, demonstrating their ability to preserve physiologically meaningful variations in respiratory resistance and reactance. Collectively, these findings support the proposed meta-models as a standardized framework for paediatric respiratory impedance at 5Hz.

Indexed as

Oscillometric prediction equationRespiratory impedanceRespiratory oscillometryRespiratory reactanceRespiratory resistance

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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.