Skip to main content

Advertisement

SpringerLink
Log in

Measurement of mucociliary clearance in the patients with multiple sclerosis

  • Rhinology
  • Published:
European Archives of Oto-Rhino-Laryngology Aims and scope Submit manuscript

Abstract

Objectives

The aim of the present study was to measure nasal mucociliary clearance (NMC) time in the patients with MS and to compare the findings with healthy population.

Methods

Totally 97 individuals including 47 patients with relapsing–remitting multiple sclerosis and 50 healthy volunteers were enrolled into the study. Saccharin clearance test was performed on both groups and NMC time was measured. Data analysis was performed by SPSS version 24.0 statistics program (SPSS Inc., Chicago, Illinois, USA). Statistical tests were interpreted at p < 0.05 significance level.

Results

The NMC time averages in MS patients and healthy control group were 12.43 ± 4.05 min and 8.14 ± 2.87 min, respectively; the difference between the groups was significant (p < 0.001). There was a statistically strong association between NMC time values and Expanded Disability Status Scale (EDSS) values in MS patients (r = 0.817, p < 0.001).

Conclusion

We found nasal mucociliary transport time longer in MS patients than healthy population in the present study. To the best of our knowledge, there is not any study conducted about this topic in the literature. We believe that our findings would shed a light on further studies.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1

Similar content being viewed by others

References

  1. Compston A, Coles A (2008) Multiplesclerosis. Lancet 372(9648):1502–1517. https://doi.org/10.1016/S0140-6736(08)61620-7

    Article  CAS  PubMed  Google Scholar 

  2. Thompson AJ, Baranzini SE, Geurts J et al (2018) Multiple sclerosis. Lancet 391:1622–1636. https://doi.org/10.1016/S0140-6736(18)30481-1

    Article  PubMed  Google Scholar 

  3. Wijnands JM, Kingwell E, Zhu F, Zhao Y, Fisk JD, Evans C, Marrie RA, Tremlett H (2017) Infection related health care utilization among people with and without multiple sclerosis. Mult Scler 23(11):1506–1516. https://doi.org/10.1177/1352458516681198

    Article  PubMed  Google Scholar 

  4. Gudis DA, Cohen NA (2010) Ciliadysfunction. Otolaryngol Clin N Am 43:461–472. https://doi.org/10.1016/j.otc.2010.02.007

    Article  Google Scholar 

  5. Andersen I, Camner P, Jensen PL, Philipson K, Proctor DF (1974) A comparison of nasal and tracheobronchial clearance. Arch Environ Health 29(5):290–293

    Article  CAS  Google Scholar 

  6. Thompson AJ, Banwell BL, Barkhof F, Carroll WM, Coetzee T, Comi G, Correale J, Fazekas F, Filippi M, Freedman MS (2018) Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria. Lancet Neurol 17(2):162–173. https://doi.org/10.1016/s1474-4422(17)30470-2

    Article  PubMed  Google Scholar 

  7. Kurtzke JF (1983) Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS). Neurology 33(11):1444–1446. https://doi.org/10.1212/wnl.33.11.1444

    Article  CAS  PubMed  Google Scholar 

  8. Akcan FA, Dündar Y, Akcan HB, Uluat A, Cebeci D, Ünlü İ (2019) Evaluation of nasal mucociliary clearance time in patients with Vitamin-D deficiency. Eur Arch Otorhinolaryngol 276(4):1075–1080. https://doi.org/10.1007/s00405-019-05286-y

    Article  PubMed  Google Scholar 

  9. Montgomery S, Hillert J, Bahmanyar S (2013) Hospital admission due to infections in multiple sclerosis patients. Eur J Neurol 20:1153–1160. https://doi.org/10.1111/ene.12130

    Article  CAS  PubMed  Google Scholar 

  10. Nelson RE, Xie Y, DuVall SL, Butler J, Kamauu AW, Knippenberg K, Schuerch M, Foskett N, LaFleur J (2015) Multiple sclerosis and risk of infection-related hospitalization and death in US veterans. Int J MS Care 17:221–230. https://doi.org/10.1111/ene.12130

    Article  PubMed  PubMed Central  Google Scholar 

  11. Sibley WA, Foley JM (1965) Infection and immunization in multiple sclerosis. Ann N Y Acad Sci 122:457–466

    Article  CAS  Google Scholar 

  12. Steelman AJ (2015) Infection as an environmental trigger of multiple sclerosis disease exacerbation. Front Immunol 19(6):520. https://doi.org/10.3389/fimmu.2015.00520

    Article  Google Scholar 

  13. Marrodan M, Alessandro L, Farez MF, Correale J (2019) The role of infections in multiplesclerosis. Mult Scler 25(7):891–901. https://doi.org/10.1177/1352458518823940

    Article  PubMed  Google Scholar 

  14. Andersen O, Lygner PE, Bergstrom T, Andersson M, Vahlne A (1993) Viral infections trigger multiple sclerosis relapses: a prospective seroepidemiological study. J Neurol 240(7):417–422. https://doi.org/10.1007/BF00867354

    Article  CAS  PubMed  Google Scholar 

  15. Kriesel JD, White A, Hayden FG, Spruance SL, Petajan J (2004) Multiple sclerosis attacks are associated with picornavirus infections. Mult Scler 10(2):145–148. https://doi.org/10.1191/1352458504ms1005oa

    Article  PubMed  Google Scholar 

  16. Correale J, Fiol M, Gilmore W (2006) The risk of relapses in multiple sclerosis during systemic infections. Neurology 67(4):652–659. https://doi.org/10.1212/01.wnl.0000233834.09743.3b

    Article  CAS  PubMed  Google Scholar 

  17. Edwards S, Zvartau M, Clarke H, Irving W, Blumhardt LD (1998) Clinical relapses and disease activity on magnetic resonance imaging associated with viral upper respiratory tract infections in multiple sclerosis. J Neurol Neurosurg Psychiatry 64(6):736–741. https://doi.org/10.1136/jnnp.64.6.736

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Winkelmann A, Loebermann M, Reisinger EC, Zettl UK (2014) Multiple sclerosis treatment and infectious issues: update 2013. Clin Exp Neuroimmunol 175:425–438. https://doi.org/10.1111/cei.12226

    Article  CAS  Google Scholar 

  19. Stevens WW, Lee RJ, Schleimer RP, Cohen NA (2015) Chronic rhinosinusitis pathogenesis. J Allergy Clin Immunol 136:1442–1453. https://doi.org/10.1016/j.jaci.2015.10.009

    Article  PubMed  PubMed Central  Google Scholar 

  20. Gudis D, Zhao KQ, Cohen NA (2012) Acquired cilia dysfunction in chronic rhinosinusitis. Am J Rhinol Allergy 26:1–6. https://doi.org/10.1016/j.jaci.2015.10.009

    Article  PubMed  PubMed Central  Google Scholar 

  21. Sun SS, Hsieh JF, Tsai SC, Ho YJ, Kao CH (2000) The role of rhinoscintigraphy in the evaluation of nasal mucociliary clearance function in patients with sinusitis. Nucl Med Commun 21:1029–1032

    Article  CAS  Google Scholar 

  22. Sadeghi J, Alizadeh N, Ahangar Oskouei M, Laghusi D, Savadi Oskouei D, Nikanfar M, Seyyed Mousavi MN (2019) Frequency of superantigen encoding genes of Staphylococcus aureus isolates collected from multiple sclerosis (MS) patients and nasal carriers. Microb Pathog 127:316–319. https://doi.org/10.1016/j.micpath.2018.12.010

    Article  CAS  PubMed  Google Scholar 

  23. Guan WJ, Peng Y, Zi XX, Tan KS, He TT, Zhong NS, Wang Y (2018) Motile ciliary disorders in chronic airway inflammatory diseases: critical target for interventions. Curr Allergy Asthma Rep 18(9):48. https://doi.org/10.1007/s11882-018-0802-x

    Article  CAS  PubMed  Google Scholar 

  24. Lovato A, Staffieri C, Ottaviano G, Cappellesso R, Giacomelli L, Bartolucci GB, Scapellato ML, Marioni G (2016) Woodworkers and the inflammatory effects of softwood/hardwood dust: evidence from nasal cytology. Eur Arch Otorhinolaryngol 273:3195–3200. https://doi.org/10.1007/s00405-016-3989-2

    Article  PubMed  Google Scholar 

  25. Staffieri C, Lovato A, Aielli F, Bortoletto M, Giacomelli L, Carrieri M, Romeo S, Boscolo-Rizzo P, Da Mosto MC, Bartolucci GB, Marioni G, Scapellato ML (2015) Investigating nasal cytology as a potential tool for diagnosing occupational rhinitis in woodworkers. Int Forum Allergy Rhinol 5:814–819. https://doi.org/10.1002/alr.21562

    Article  PubMed  Google Scholar 

Download references

Funding

None.

Author information

Authors and Affiliations

  1. Department of Otolaryngology, Faculty of Medicine, Bozok University, Atatürk Yolu 7. Km, 66100, Yozgat, Turkey

    Ender Sahin & Yunus Kantekin

  2. Department of Neurology, Faculty of Medicine, Bozok University, Yozgat, Turkey

    Mehmet Hamamcı

Authors
  1. Ender Sahin
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mehmet Hamamcı
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yunus Kantekin
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ender Sahin.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

This study was approved by the Institutional Review Board of the Yozgat Bozok University.

Informed consent

Written informed consent was obtained from the patients.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sahin, E., Hamamcı, M. & Kantekin, Y. Measurement of mucociliary clearance in the patients with multiple sclerosis. Eur Arch Otorhinolaryngol 277, 469–473 (2020). https://doi.org/10.1007/s00405-019-05717-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00405-019-05717-w

Keywords

Search

Navigation