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Detection of the airway obstruction stage in asthma using impulse oscillometry system.
J Asthma. 2013 Feb; 50(1):45-51.JA

Abstract

OBJECTIVE

Although spirometry is the most common method for evaluating the airway obstruction stage in asthma patients, it is difficult to perform in some patients. The aim of this study was to evaluate whether impulse oscillometry, an easy-to-perform technique, can detect asthmatic airway obstruction stage.

METHODS

A total of 80 subjects, including healthy volunteers and patients with asthma, were enrolled in this study. The asthma patients were classified into three groups according to American Thoracic Society (ATS)/European Respiratory Society (ERS)-2005: the mild group (forced expiratory volume in 1 second (FEV(1)) ≥ 70% predicted (Pred), n = 20), the moderate group (50% Pred ≤ FEV(1) <70% Pred, n = 20), and the severe group (FEV(1) < 50% Pred, n = 20). Spirometry and impulse oscillometry (IOS) parameters were obtained from every subject. Correlation analysis was used to compare spirometry measurements and IOS parameters. One-way analysis of variance (ANOVA) was performed to compare IOS parameters among different groups. The potential of using all individual IOS parameters to detect the different stages of asthmatic airway obstruction was evaluated by the receiver operating characteristic (ROC) curve analysis.

RESULTS

The correlation analysis showed that IOS parameters, such as respiratory resistance at 5 Hz (R(5)), respiratory resistance at 10 Hz (R(10)), respiratory resistance at 20 Hz (R(20)), difference in resistance between 5 Hz and 20 Hz (R(5-20)), impedance at 5 Hz (Z(5)), resonant frequency (Fres), and area of reactance (AX) were negatively correlated with FEV(1) and peak expiratory flow (PEF), while reactance at 5 Hz (X(5)) was positively correlated with FEV(1) and PEF. The increase in R(5), R(10), R(20), Z(5), R(5-20), Fres, (-X(5)), and AX parameters corresponded significantly with an increase in the airway obstruction stage, as determined by one-way ANOVA . ROC curve analysis revealed that all the IOS parameters studied, except for Fres, were capable of classifying asthmatic airway obstruction. R(5), R(5-20), and Z(5) were the most accurate parameters.

CONCLUSION

IOS provides an accurate, reliable, and patient-friendly technique for classifying asthmatic airway obstruction.

Authors+Show Affiliations

Department of Respiratory Medicine, Shanghai Pudong New Area People's Hospital, Shanghai, China.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Comparative Study
Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

23189951

Citation

Qi, Guang-Sheng, et al. "Detection of the Airway Obstruction Stage in Asthma Using Impulse Oscillometry System." The Journal of Asthma : Official Journal of the Association for the Care of Asthma, vol. 50, no. 1, 2013, pp. 45-51.
Qi GS, Zhou ZC, Gu WC, et al. Detection of the airway obstruction stage in asthma using impulse oscillometry system. J Asthma. 2013;50(1):45-51.
Qi, G. S., Zhou, Z. C., Gu, W. C., Xi, F., Wu, H., Yang, W. L., & Liu, J. M. (2013). Detection of the airway obstruction stage in asthma using impulse oscillometry system. The Journal of Asthma : Official Journal of the Association for the Care of Asthma, 50(1), 45-51. https://doi.org/10.3109/02770903.2012.743154
Qi GS, et al. Detection of the Airway Obstruction Stage in Asthma Using Impulse Oscillometry System. J Asthma. 2013;50(1):45-51. PubMed PMID: 23189951.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Detection of the airway obstruction stage in asthma using impulse oscillometry system. AU - Qi,Guang-Sheng, AU - Zhou,Zhi-Cai, AU - Gu,Wen-Chao, AU - Xi,Feng, AU - Wu,Hao, AU - Yang,Wen-Lan, AU - Liu,Jin-Ming, Y1 - 2012/11/28/ PY - 2012/11/30/entrez PY - 2012/11/30/pubmed PY - 2013/5/31/medline SP - 45 EP - 51 JF - The Journal of asthma : official journal of the Association for the Care of Asthma JO - J Asthma VL - 50 IS - 1 N2 - OBJECTIVE: Although spirometry is the most common method for evaluating the airway obstruction stage in asthma patients, it is difficult to perform in some patients. The aim of this study was to evaluate whether impulse oscillometry, an easy-to-perform technique, can detect asthmatic airway obstruction stage. METHODS: A total of 80 subjects, including healthy volunteers and patients with asthma, were enrolled in this study. The asthma patients were classified into three groups according to American Thoracic Society (ATS)/European Respiratory Society (ERS)-2005: the mild group (forced expiratory volume in 1 second (FEV(1)) ≥ 70% predicted (Pred), n = 20), the moderate group (50% Pred ≤ FEV(1) <70% Pred, n = 20), and the severe group (FEV(1) < 50% Pred, n = 20). Spirometry and impulse oscillometry (IOS) parameters were obtained from every subject. Correlation analysis was used to compare spirometry measurements and IOS parameters. One-way analysis of variance (ANOVA) was performed to compare IOS parameters among different groups. The potential of using all individual IOS parameters to detect the different stages of asthmatic airway obstruction was evaluated by the receiver operating characteristic (ROC) curve analysis. RESULTS: The correlation analysis showed that IOS parameters, such as respiratory resistance at 5 Hz (R(5)), respiratory resistance at 10 Hz (R(10)), respiratory resistance at 20 Hz (R(20)), difference in resistance between 5 Hz and 20 Hz (R(5-20)), impedance at 5 Hz (Z(5)), resonant frequency (Fres), and area of reactance (AX) were negatively correlated with FEV(1) and peak expiratory flow (PEF), while reactance at 5 Hz (X(5)) was positively correlated with FEV(1) and PEF. The increase in R(5), R(10), R(20), Z(5), R(5-20), Fres, (-X(5)), and AX parameters corresponded significantly with an increase in the airway obstruction stage, as determined by one-way ANOVA . ROC curve analysis revealed that all the IOS parameters studied, except for Fres, were capable of classifying asthmatic airway obstruction. R(5), R(5-20), and Z(5) were the most accurate parameters. CONCLUSION: IOS provides an accurate, reliable, and patient-friendly technique for classifying asthmatic airway obstruction. SN - 1532-4303 UR - https://www.unboundmedicine.com/medline/citation/23189951/Detection_of_the_airway_obstruction_stage_in_asthma_using_impulse_oscillometry_system_ L2 - http://www.tandfonline.com/doi/full/10.3109/02770903.2012.743154 DB - PRIME DP - Unbound Medicine ER -