Skip to main content
  • Original article
  • Open access
  • Published:

Impulse oscillometry usefulness in small-airway dysfunction in asthmatics and its utility in asthma control

Abstract

Background

Small-airway affection and its relation to clinical status in asthmatic patients became an increasing interest during the last decade. Spirometry is a basic diagnostic tool for measuring pulmonary function in asthmatics but not fully illustrative especially in assessing small airways. Impulse oscillometry (IOS) can be considered a complementary and sometimes alternative technique to spirometry because it is used during quiet breathing and so gives more data about small-airways affection in asthmatic patients.

Aim

To evaluate IOS usefulness in the detection of small-airways disease in asthma and its correlation to the level of disease control.

Patients and methods

The study was conducted on 44 asthmatic patients who were classified into two groups: controlled asthma and uncontrolled asthma by asthma control test questionnaire (ACT score). Spirometry and IOS were performed on all patients.

Results

Small-airway IOS values (R5–20, X5, and AX) were found to be statistically significant between two groups. Moreover, they strongly correlated significantly with clinical symptoms, assessed by ACT. There was high sensitivity and specificity of (R5–20) 80 and 82%, (X5) 80 and 86%, and (AX) 86 and 89%, while for spirometric data only forced expiratory flow (FEF25–75%) showed a statistically significant difference between the two groups, and not FEV1% and there was poor correlation between ACT and FEF25–75%.

Conclusion

IOS provides an easy and rapid tool to diagnose and assess small-airways disease in adult, asthmatic patients

References

  1. Van den Berge M, ten Hacken NH, Cohen J, Douma WR, Postma DS. Small airway disease in asthma and COPD: clinical implications. Chest 2011; 139:412–423.

    Article  Google Scholar 

  2. Takeda T, Oga T, Niimi A, Matsumoto H, Ito I, Yamaguchi M, et al. Relationship between small airway function and health status, dyspnea and disease control in asthma. Respiration 2010; 80:120–126.

    Article  Google Scholar 

  3. Pisi R, Tzani P, Aiello M, Martinelli E, Marangio E, Nicolini G, et al. Small airway dysfunction by impulse oscillometry in asthmatic patients with normal forced expiratory volume in the 1st second values. Allergy Asthma Proc 2013; 34:e14–e20.

    Article  Google Scholar 

  4. Burgel PR. The role of small airways in obstructive airway diseases. Eur Respir Rev 2011; 20:23–33.

    Article  Google Scholar 

  5. Desiraju K, Agrawal A. Impulse oscillometry: state-of-art for lung function testing. Lung India 2016; 33:410–416.

    Article  Google Scholar 

  6. Meraz E, Nazeran H, Ramos C. Analysis of impulse oscillometric measures of lung function and respiratory system model parameters in small airway- impaired and healthy. Biomed Eng Online 2011; 10:21.

    Article  Google Scholar 

  7. Song TW, Kim KW, Kim ES, Park JW, Sohn MH, Kim KE. Utility of impulse oscillometry in young children with asthma. Pediatr Allergy Immunol 2008; 19:763–768.

    Article  Google Scholar 

  8. Komarow HD, Skinner J, Young M, Gaskins D, Nelson C, Gergen PJ, Metcalfe DD. A study of the use of impulse oscillometry in evaluation of children with asthma: analysis lung parameters, order effect, and utility compared with spirometry. Pediatr Pulmonol 2012; 47:18–26.

    Article  Google Scholar 

  9. Oostveen E, MacLeod D, Lorino H, Farré R, Hantos Z, Desager K, Marchal F, ERS Task Force on Respiratory Impedance Measurements. The forced oscillation technique in clinical practice: methodology, recommendations and future developments. Eur Respir J 2003; 22:1026–1041.

    Article  CAS  Google Scholar 

  10. GINA Report, Global Strategy for Asthma Management and Prevention: Global Initiative for Asthma; 2018. Available at: http://www.ginasthma.org. [Accessed on 2017 Feb 5]

  11. Nathan RA, Sorkness CA, Kosinki M, Schatz M, Li JT, Marcus P, et al. Development of asthma control test: a survey for assessing asthma control. J Allergy Clin Immunol 2004; 113:59–65.

    Article  Google Scholar 

  12. Mendoza MMR, Bernice OC, Guzman-Banzon AV, Ayuyao FG, De Guia TS. Comparative Assessment of Asthma Control Test (ACT) and GINA classification including FEV1 in predicting asthma severity. Phil Heart Center J 2007; 1:149–15533.

    Google Scholar 

  13. Manoharan A, Anderson WJ, Lipworth J, Lipworth BJ. Assessment of spirometry and impulse oscillometry in relation to asthma control. Lung 2015; 193:47–51

    Article  Google Scholar 

  14. Alfieri V, Aiello M, Pisi R, Tzani P, Mariani E, Marangio E, et al. Small airway dysfunction is associated to excessive bronchoconstriction in asthmatic patients. Respiratory Res 2014; 15:86.

    Article  Google Scholar 

  15. Galant SP, Komarow HD, Hye-Won S, Siddiqui S, Lipworth BJ. The case for impulse oscillometry in the management of asthma in children and adults. Ann Allergy Asthma Immunol 2017; 118:664–671.

    Article  Google Scholar 

  16. Shimoda T, Obase Y, Nagasaka Y, et al. Peripheral bronchial obstruction evaluation in patients with asthma by lung sound analysis and impulse oscillometry. Allergol Int 2017; 66:132–138.

    Article  Google Scholar 

  17. Brashier B, Salvi S. Measuring lung function using sound waves: role of the forced oscillation technique and impulse oscillometry system. Breathe (Sheff) 2015; 11:57–65.

    Article  Google Scholar 

  18. Vollmer VM, Markson LE, O’Connor E, et al. Association of asthma control with health care utilization: prospective evaluation. Am J Respir Crit Care Med 2002; 165:195–199.

    Article  Google Scholar 

  19. Dorinsky PM, Edwards LD, Yancey SW, Rickard KA. Use of changes in symptoms to predict changes in lung function in assessing the response to asthma therapy. ClinTher 2001; 23:710–714.

    Google Scholar 

  20. Johnbull J, Olaiya AB, Efosa EG. Assessment of asthma control using asthma control test and relationship with lung function parameters greener. J Med Sci 2013; 3:276–282.

    Google Scholar 

  21. FitzGerald JM, Boulet LP, Mclvor RA, Zimmerman S, Chapman KR. Asthma control in Canada remains suboptimal: Reality of Asthma Control (TRAC) study. Can Respir J 2006; 13:253–259.

    Article  Google Scholar 

  22. Raikar MA, Pereira S. Assessing asthma control using asthma control test and spirometry. Int J Contemp Med Res 2017; 4:1689–1693.

    Google Scholar 

  23. Shingo S, Zhang J, Reiss TF. Correlation of airway obstruction and patient reported endpoints in clinical studies. Eur Respir J 2001; 17:220–224.

    Article  CAS  Google Scholar 

  24. Gigliotti E, Rosi E, Stendardi L, Ambrosino N. Relevance of dyspnoea and respiratory function measurements in monitoring of asthma: a factor analysis. Respir Med 2001; 95:246–250.

    Article  Google Scholar 

  25. Green RJ. Barriers to optimal control of asthma and allergic rhinitis in South Africa. Current Allergy Clin Immunol 2010; 23:8–11.

    Google Scholar 

  26. Reznik M, Sharif I, Ozuah PO. Classifying asthma severity prospective symptom diary or retrospective symptom recall? J Adolesc Health 2005; 36:537–538.

    Article  Google Scholar 

  27. Osborne ML, Pedula KL, O’Hollaren M, Ettinger KM, Stibolt T, Buist AS, et al. Assessing future need for acute care in adult asthmatics: profile of asthma risk study: prospective health maintenance organization-based study. Chest 2007; 132:1151–1161.

    Article  Google Scholar 

  28. Chalise SP, Bhatta NK, Singh RR, Prasad SM, Poudel P. Assessment of control of bronchial asthma in children using childhood asthma control test. Indian J Chest Dis 2014; 56:75–78.

    Google Scholar 

  29. Reddel HK, Jenkins CR, Marks GB, Ware SI, Xuan W, Salome CM, et al. Optimal asthma control starting with high doses of inhaled budesonide. Eur Respir J 2000; 16:226–235.

    Article  CAS  Google Scholar 

  30. Sorkness RL, Bleecker ER, Busse WW, Calhoun WJ, Castro M, Chung KF, et al. Lung function in adults with stable but severe asthma: air trapping and incomplete reversal of obstruction with bronchodilation. J Appl Physiol 2008; 104:394–403.

    Article  Google Scholar 

  31. McNulty W, Usmani OS. Techniquesof assessing small airways dysfunction. Eur Clin Respir J 2014; XX:XX.

    Google Scholar 

  32. Lipworth B. Targeting the small airways asthma phenotype: if we can reach it, should we treat it? Ann Allergy Asthma Immunol 2013; 110:233–239.

    Article  CAS  Google Scholar 

  33. Shi Y, Aledia AS, Galant SP, George SC. Peripheral airway impairment measured by oscillometry predicts loss of asthma control in children. J Allergy Clin Immunol 2013; 131:718–723.

    Article  Google Scholar 

  34. Wenzel SE. Complex phenotypes in asthma: current definitions. Pulm Pharmacol Ther 2013; 26:710–715.

    Article  CAS  Google Scholar 

  35. Haldar P, Pavord ID, Shaw DE, Berry MA, Thomas M, Brightling CE, et al. Cluster analysis and clinical asthma phenotypes. Am J Respir Crit Care Med 2008; 178:218–224.

    Article  Google Scholar 

  36. Wadsworth SJ, Sandford AJ. Personalised medicine and asthma diagnostics/management. Curr Allergy Asthma Rep 2013; 13:118–129.

    Article  CAS  Google Scholar 

  37. Usmani OS. Treating the small airways. Respiration 2012; 84:441–453.

    Article  Google Scholar 

  38. Balzar S, Wenzel SE, Chu HW. Transbronchial biopsy as a tool to evaluate small airways in asthma. Eur Respir J 2002; 20:254–259.

    Article  CAS  Google Scholar 

  39. Dolhnikoff M, da Silva LF, de Araujo BB, Gomes HA, Fernezlian S, Mulder A, et al. The outer wall of small airways is a major site of remodeling in fatal asthma. J Allergy Clin Immunol 2009; 123:1090–1097.

    Article  CAS  Google Scholar 

  40. Cottini M, Lombardi C, Micheletto C. Small airway dysfunction and bronchial asthma control: the state of the art. Asthma Research and Practice 2015; 1:13.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ragia S. Sharshar MD.

Additional information

This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.

Rights and permissions

This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sharshar, R.S. Impulse oscillometry usefulness in small-airway dysfunction in asthmatics and its utility in asthma control. Egypt J Bronchol 13, 452–458 (2019). https://doi.org/10.4103/ejb.ejb_16_19

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.4103/ejb.ejb_16_19

Keywords