Literature DB >> 21439045

Analysis of impulse oscillometric measures of lung function and respiratory system model parameters in small airway-impaired and healthy children over a 2-year period.

Erika G Meraz1, Homer Nazeran, Carlos D Ramos, Pat Nava, Bill Diong, Michael D Goldman, Christine A Goldman.   

Abstract

BACKGROUND: 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.

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Year:  2011        PMID: 21439045      PMCID: PMC3071336          DOI: 10.1186/1475-925X-10-21

Source DB:  PubMed          Journal:  Biomed Eng Online        ISSN: 1475-925X            Impact factor:   2.819


  47 in total

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Review 2.  Clinical applications of forced oscillation to assess peripheral airway function.

Authors:  Michael D Goldman; Constantine Saadeh; David Ross
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3.  A comparison of various respiratory system models based on parameter estimates from impulse oscillometry data.

Authors:  T Woo; B Diong; L Mansfield; M Goldman; P Nava; H Nazeran
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2004

4.  Evaluation of respiratory system models based on parameter estimates from impulse oscillometry data.

Authors:  S Baswa; H Nazeran; P Nava; B Diong; M Goldman
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2005

5.  Bronchodilator response in 3-6.5 years old healthy and stable asthmatic children.

Authors:  J Hellinckx; K De Boeck; J Bande-Knops; M van der Poel; M Demedts
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6.  Comparative analysis of the bronchodilator response measured by impulse oscillometry (IOS), spirometry and body plethysmography in asthmatic children.

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Review 7.  Interaction between the growing lung and asthma: role of early intervention.

Authors:  C G Irvin
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8.  Impulse oscillometry versus spirometry in a long-term study of controller therapy for pediatric asthma.

Authors:  Gary L Larsen; Wayne Morgan; Gregory P Heldt; David T Mauger; Susan J Boehmer; Vernon M Chinchilli; Robert F Lemanske; Fernando Martinez; Robert C Strunk; Stanley J Szefler; Robert S Zeiger; Lynn M Taussig; Leonard B Bacharier; Theresa W Guilbert; Shelley Radford; Christine A Sorkness
Journal:  J Allergy Clin Immunol       Date:  2008-12-12       Impact factor: 10.793

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10.  Postnatal human lung growth.

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Journal:  Thorax       Date:  1982-08       Impact factor: 9.139

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  10 in total

1.  Study the mechanical pulmonary changes in patients with congestive heart failure (CHF) by impulse oscillometry.

Authors:  Mohammad Nourizadeh; Yunose Ghelich; Ahmad Amin; Esmaeel Eidani; Yousef Gholampoor; Mahsa Asadmoghadam; Najme Asadinia
Journal:  J Cardiovasc Dis Res       Date:  2013-06-24

Review 2.  Lung Function Assessment by Impulse Oscillometry in Adults.

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Journal:  Ther Clin Risk Manag       Date:  2020-11-26       Impact factor: 2.423

3.  A study of the use of impulse oscillometry in the evaluation of children with asthma: analysis of lung parameters, order effect, and utility compared with spirometry.

Authors:  Hirsh D Komarow; Jeff Skinner; Michael Young; Donna Gaskins; Celeste Nelson; Peter J Gergen; Dean D Metcalfe
Journal:  Pediatr Pulmonol       Date:  2011-08-24

4.  Relating small airways to asthma control by using impulse oscillometry in children.

Authors:  Yixin Shi; Anna S Aledia; Ahramahzd V Tatavoosian; Shruthi Vijayalakshmi; Stanley P Galant; Steven C George
Journal:  J Allergy Clin Immunol       Date:  2011-12-17       Impact factor: 10.793

5.  Forced oscillations and respiratory system modeling in adults with cystic fibrosis.

Authors:  Adma N Lima; Alvaro C D Faria; Agnaldo J Lopes; José M Jansen; Pedro L Melo
Journal:  Biomed Eng Online       Date:  2015-02-13       Impact factor: 2.819

6.  Effect of gastroesophageal reflux disease on disease severity and characteristics of lung functional changes in patients with asthma.

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7.  Combined forced oscillation and fractional-order modeling in patients with work-related asthma: a case-control study analyzing respiratory biomechanics and diagnostic accuracy.

Authors:  Fábio Augusto D Alegria Tuza; Paula Morisco de Sá; Hermano A Castro; Agnaldo José Lopes; Pedro Lopes de Melo
Journal:  Biomed Eng Online       Date:  2020-12-09       Impact factor: 2.819

8.  Early Diagnosis of Respiratory Abnormalities in Asbestos-Exposed Workers by the Forced Oscillation Technique.

Authors:  Paula Morisco de Sá; Hermano Albuquerque Castro; Agnaldo José Lopes; Pedro Lopes de Melo
Journal:  PLoS One       Date:  2016-09-09       Impact factor: 3.240

9.  Forced oscillation technique for early detection of the effects of smoking and COPD: contribution of fractional-order modeling.

Authors:  Caroline Oliveira Ribeiro; Alvaro Camilo Dias Faria; Agnaldo José Lopes; Pedro Lopes de Melo
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2018-10-11

10.  Virus-Induced Asthma/Wheeze in Preschool Children: Longitudinal Assessment of Airflow Limitation Using Impulse Oscillometry.

Authors:  George N Konstantinou; Nikolaos G Papadopoulos; Emmanouel Manousakis; Paraskevi Xepapadaki
Journal:  J Clin Med       Date:  2019-09-16       Impact factor: 4.241

  10 in total

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