Abstract
Over 500 million people suffer from allergic rhinitis around the world. This huge problem causes, in addition to individual impacts, a substantial economic burden to societies. There is a lack of an objective measurement method producing a reliable, accurate and continuous measurement data about the dynamic changes in nasal function. Here, a method to assess the nasal airflow resistance as a continuous signal is proposed and used to compute resistance values during the birch pollen provocation test. The required pressure recording is measured using a nasopharyngeal catheter and the flow recording is measured using respiratory effort belts calibrated with the new method. Ten birch pollen allergic and eleven non-allergic volunteers were challenged with control solution and allergen solution. Continuous nasal airflow resistance signals were computed and analyzed for the dynamic changes in the nasal airflow resistance. The derived signals show in great detail the intensity and timing differences in subjects’ reactions. Quantitative results of resistance changes indicate that allergic and non-allergic subjects can be differentiated in a statistically significant degree using the proposed method. The method opens entirely new possibilities to research accurately the dynamic changes in non-stationary nasal function and could increase the reliability and accuracy of diagnostics and assessment of the effect of nasal treatments.
Keywords
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Bousquet, J., et al.: Allergic ahinitis and its impact on asthma (ARIA): achievements in 10 years and future needs. J. Allergy Clin. Immunol. 130(5), 1049–1062 (2012)
Bousquet, J., Van Cauwenberge, P., Khaltaev, N.: Allergic rhinitis and its impact on asthma. J. Allergy Clin. Immunol. 108, S147–S334 (2001)
Shaaban, R., Zureik, M., Soussan, D., Neukirch, C., Heinrich, J., Sunyer, J., Wjst, M., Cerveri, I., Pin, I., Bousquet, J., Jarvis, D., Burney, P.G., Neukirch, F., Leynaert, B.: Rhinitis and onset of asthma: a longitudinal population-based study. Lancet 372, 1049–1057 (2008)
Sears, M.R., Burrows, B., Herbison, G.P., Holdaway, M.D., Flannery, E.M.: Atopy in childhood. II. Relationship to airway responsiveness, hay fewer and asthma. Clin. Exp. Allergy 23(11), 949–956 (1993)
Van Cauwenberge, P., Watelet, J.B., Van Zele, T., Bousquet, J., Burney, P., Zuberbier, T.: the GA2LEN partners: spreading excellence in allergy and asthma: the GA2LEN (Global allergy and asthma European network) project. Allergy 60, 858–864 (2005)
Bousquet, J., et al.: Allergic rhinitis and its impact on asthma (ARIA) 2008 update (in collaboration with the world health organization, GA2LEN and AllerGen). Allergy 63(Suppl. 86), 8–160 (2008)
Bousquet, J., Dahl, R., Khaltaev, N.: Global Alliance against chronic respiratory diseases. Allergy 62, 216–223 (2007)
Clement, P.A., Gordts, F.: Consensus report on acoustic rhinometry and rhinomanometry. Rhinology 43, 169–179 (2005)
Starling-Schwaz, R., Peake, H.L., Salome, C.M., Toelle, B.G., Ng, K.W., Marks, G.B., Lean, M.L., Rimmer, S.J.: Repeatability of peak nasal inspiratory flow measurements and utility for assessing the severity of rhinitis. Allergy 60, 795–800 (2005)
Chaaban, M., Corey, J.P.: Assessing nasal air flow: options and utility. Proc. Am. Thorac. Soc. 8(1), 70–78 (2011)
Pirilä, T., Talvisara, A., Alho, O.-P., Oja, H.: Physiological fluctuations in nasal resistance may interfere with nasal monitoring in the nasal provocation test. Acta Otolaryngol. 117, 596–600 (1997)
Pirilä, T., Nuutinen, J.: Acoustic rhinometry, rhinomanometry and the amount of nasal secretion in the clinical monitoring of the nasal provocation test. Clin. Exp. Allergy 28(4), 468–477 (1998)
Hohlfield, J.M., Holland-Letz, T., Larbig, M., Lavae-Mokhtari, M., Wierenga, E., Kapsenberg, M., van Ree, R., Krug, N., Bufe, A.: Diagnostic value of outcome measures following allergen exposure in an environmental challenge chamber compared with natural conditions. Clin. Exp. Allergy 40(7), 998–1006 (2010)
Tobin, M.: Breathing pattern analysis. Intensive Care Med. 18, 193–201 (1992)
Seppänen, T.M., Alho, O.-P., Koskinen, M., Seppänen, T.: Improved calibration method of respiratory belts by extension of multiple linear regression. In: Proceedings of the 5th European Conference of the International Federation for Medical and Biological Engineering, vol. 37, pp. 161–164 (2012)
Seppänen, T., Koskinen, M., Seppänen, T.M., Raappana, A., Alho, O.-P.: Continuous assessment of nasal airflow resistance by adaptive modeling. Physiol. Meas. 30, 1197–1209 (2009)
Seppänen, T., Koskinen, M., Seppänen, T.M., Alho, O.-P.: Addendum to ‘continuous assessment of nasal airflow resistance by adaptive modeling’ – technical repeatability. Physiol. Meas. 31, 1547–1551 (2010)
Patent 120132 B Finland
Patent 0602755-1 Sweden
Broms, P., Jonson, B., Lamm, C.J.: Rhinomanometry. II. A system for numerical description of nasal airway resistance. Acta Otolaryngol. 94, 157–168 (1982)
Acknowledgements
Allergy Research Foundation and Finnish Cultural Foundation, North Ostrobothnia Regional Fund are gratefully acknowledged for financial support.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Seppänen, T.M., Alho, OP., Seppänen, T. (2014). Dynamic Changes of Nasal Airflow Resistance During Provocation with Birch Pollen Allergen. In: Fernández-Chimeno, M., et al. Biomedical Engineering Systems and Technologies. BIOSTEC 2013. Communications in Computer and Information Science, vol 452. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44485-6_16
Download citation
DOI: https://doi.org/10.1007/978-3-662-44485-6_16
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-44484-9
Online ISBN: 978-3-662-44485-6
eBook Packages: Computer ScienceComputer Science (R0)