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dc.creatorMeraz, Erika G
dc.creatorNazeran, Homer
dc.creatorRamos, Carlos D.
dc.creatorNava, Pat
dc.creatorDiong, Bill
dc.creatorGoldman, Michael D.
dc.date.accessioned2019-07-12T16:02:05Z
dc.date.available2019-07-12T16:02:05Z
dc.date.issued2011-03-25
dc.identifier.urihttps://doi.org/10.1186/1475-925x-10-21
dc.identifier.urihttps://repository.tcu.edu/handle/116099117/26428
dc.identifier.urihttps://biomedical-engineering-online.biomedcentral.com/articles/10.1186/1475-925X-10-21
dc.description.abstractBackground: Is Impulse Oscillometry System (IOS) a valuable tool to measure respiratory system function in Children? Asthma (A) is the most prevalent chronic respiratory disease in children. Therefore, early and accurate assessment of respiratory function is of tremendous clinical interest in diagnosis, monitoring and treatment of respiratory conditions in this subpopulation. IOS has been successfully used to measure lung function in children with a high degree of sensitivity and specificity to small airway impairments (SAI) and asthma. IOS measures of airway function and equivalent electrical circuit models of the human respiratory system have been developed to quantify the severity of these conditions. Previously, we have evaluated several known respiratory models based on the Mead's model and more parsimonious versions based on fitting IOS data known as extended RIC (eRIC) and augmented RIC (aRIC) models have emerged, which offer advantages over earlier models. Methods: IOS data from twenty-six children were collected and compared during pre-bronchodilation (pre-B) and post- bronchodilation (post-B) conditions over a period of 2 years. Results and Discussion: Are the IOS and model parameters capable of differentiating between healthy children and children with respiratory system distress? Children were classified into two main categories: Healthy (H) and Small Airway-Impaired (SAI). The IOS measures and respiratory model parameters analyzed differed consistently between H and SAI children. SAI children showed smaller trend of "growth" and larger trend of bronchodilator responses than H children. The two model parameters: peripheral compliance (Cp) and peripheral resistance (Rp) tracked IOS indices of small airway function well. Cp was a more sensitive index than Rp. Both eRIC and aRIC Cps and the IOS Reactance Area, AX, (also known as the "Goldman Triangle") showed good correlations. Conclusions: What are the most useful IOS and model parameters? In this work we demonstrate that IOS parameters such as resistance at 5 Hz (R5), frequency-dependence of resistance (fdR: R5-R20), reactance area (AX), and parameter estimates of respiratory system such as Cp and Rp provide sensitive indicators of lung function and have the capacity to differentiate between obstructed and non-obstructed airway conditions. They are also capable of demonstrating airway growth-related changes over a two-year period. We conclude that the IOS parameters AX and the eRIC model derived parameter Cp are the most reliable parameters to track lung function in children before and after bronchodilator and over a time period (2 years). Which model is more suitable for interpreting IOS data? IOS data are equally well-modelled by eRIC and aRIC models, based on the close correlations of their corresponding parameters - excluding upper airway shunt compliance. The eRIC model is a more parsimonious and equally powerful model in capturing the differences in IOS indices between SAI and H children. Therefore, it may be considered a clinically-preferred model of lung function.en_US
dc.language.isoenen_US
dc.publisherBioMed Central
dc.rights.urihttps://creativecommons.org/licenses/by/2.0/
dc.sourceBioMedical Engineering OnLine
dc.subjectAsthmaen_US
dc.subjectLung Functionen_US
dc.subjectSmall Airwayen_US
dc.subjectaRIC Modelen_US
dc.subjectLung Growthen_US
dc.titleAnalysis of impulse oscillometric measures of lung function and respiratory system model parameters in small airway-impaired and healthy children over a 2-year perioden_US
dc.typeArticleen_US
dc.rights.holderMeraz et al.
dc.rights.licenseCC BY 2.0
local.collegeCollege of Science and Engineering
local.departmentEngineering
local.personsDiong (ENGR)


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