Skip to main content
Log in

Comorbidity modulates non invasive ventilation-induced changes in breath print of obstructive sleep apnea syndrome patients

  • Original Article
  • Published:
Sleep and Breathing Aims and scope Submit manuscript

Abstract

Introduction

In obstructive sleep apnea syndrome (OSAS), exhaled volatile organic compounds (VOCs) change after long-term continuous positive airway pressure (CPAP). The objective of the study was to verify whether changes in VOCs pattern are detectable after the first night of CPAP and to identify correlates, if any, of these changes.

Methods

Fifty OSAS patients underwent a multidimensional assessment and breath print (BP) analysis through 28 sensors e-nose at baseline and after the first night of CPAP. Boxplots of individual BP evolution after CPAP and groups were compared by ANOVA and Fisher’s exact t. Partial least square discriminant analysis (PLS-DA), with leave-one-out as cross-validation was used to calculate to which extent basal BP could predicts changes in apnea-hypopnea index (AHI).

Results

CPAP was effective in all the patients (delta AHI 35.8 events/h; residual AHI 6.0 events/h). BP dramatically changed after a single-night CPAP and changes conformed to two well-distinguished patterns: pattern C (n = 29), characterized by consonant boxplots, and pattern D (n = 21), with variably discordant boxplots. The average number of comorbid diseases (1.55 [standard deviation, SD 1.0] in group C, 3.14 [SD 1.8] in group D, p < 0.001) and the prevalence of selected comorbidity (diabetes mellitus, metabolic syndrome, and chronic heart failure), were the only features distinguishing groups.

Conclusion

We found that BP change after a single night of CPAP largely depends upon comorbidity. Comorbidity likely contributes to phenotypic variability in OSAS population. BP might qualify as a surrogate index of the response to and, later, compliance with CPAP.

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

Access this article

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

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  1. Drager LF, Togeiro SM, Polotsky VY, Lorenzi-Filho G (2013) Obstructive sleep apnea: a cardiometabolic risk in obesity and the metabolic syndrome. J Am Coll Cardiol 62:569–576

    Article  PubMed  Google Scholar 

  2. Sánchez-de-la-Torre M, Campos-Rodriguez F, Barbé F (2013) Obstructive sleep apnoea and cardiovascular disease. Lancet Respir Med 1:61–72

    Article  PubMed  Google Scholar 

  3. Quan SF, Wright R, Baldwin CM et al (2006) Obstructive sleep apnea-hypopnea and neurocognitive functioning in the Sleep Heart Health Study. Sleep Med 7:498–507

    Article  PubMed  Google Scholar 

  4. Terán-Santos J, Jiménez-Gómez A, Cordero-Guevara J (1999) The association between sleep apnea and the risk of traffic accidents. Cooperative Group Burgos-Santander. N Engl J Med 340:847–851

    Article  PubMed  Google Scholar 

  5. Phillips CL, Grunstein RR, Darendeliler MA et al (2013) Health outcomes of continuous positive airway pressure versus oral appliance treatment for obstructive sleep apnea: a randomized controlled trial. Am J Respir Crit Care Med 187:879–887

    Article  PubMed  Google Scholar 

  6. Greulich T, Hattesohl A, Grabisch A et al (2013) Detection of obstructive sleep apnoea by an electronic nose. Eur Respir J 42:145–155

    Article  PubMed  Google Scholar 

  7. Xie X, Pan L, Ren D, Du C, Guo Y (2013) Effects of continuous positive air way pressure therapy on systemic inflammation in obstructive sleep apnea: a meta-analysis. Sleep Med 14:1139–1150

    Article  PubMed  Google Scholar 

  8. Cohen J (1988) Statistical power analysis for the behavioral sciences, 2nd edn. Lawrence Erlbaum, Hillsdale

    Google Scholar 

  9. Sharma SK, Kurian S, Malik V et al (2004) A stepped approach for prediction of obstructive sleep apnea in overtly asymptomatic obese subjects: a hospital based study. Sleep Med 5:351–357

    Article  CAS  PubMed  Google Scholar 

  10. Dixon JB, Schachter LM, O'Brien PE (2003) Predicting sleep apnea and excessive day sleepiness in the severely obese: indicators for polysomnography. Chest 123:1134–1141

    Article  PubMed  Google Scholar 

  11. Zonato AI, Bittencourt LR, Martinho FL, Júnior JF, Gregório LC, Tufik S (2003) Association of systematic head and neck physical examination with severity of obstructive sleep apnea-hypopnea syndrome. Laryngoscope 113:973–980

    Article  PubMed  Google Scholar 

  12. Berry RB, Budhiraja R, Gottlieb DJ, Gozal D, Iber C, Kapur VK, Marcus CL, Mehra R, Parthasarathy S, Quan SF, Redline S, Strohl KP, Davidson Ward SL, Tangredi MM, American Academy of Sleep Medicine (2012) Rules for scoring respiratory events in sleep: update of the 2007 AASM Manual for the Scoring of Sleep and Associated Events. Deliberations of the Sleep Apnea Definitions Task Force of the American Academy of Sleep Medicine. J Clin Sleep Med 8(5):597–619

    PubMed Central  PubMed  Google Scholar 

  13. Redline S, Sanders MH, Lind BK et al (1998) Methods for obtaining and analyzing unattended PSG data for a multicenter study. Sleep Heart Health Res Group Sleep 21:759–767

    CAS  Google Scholar 

  14. Tenax® GR adsorbent resin for trapping volatiles. Scientific Instrument Services, Inc. [http://www.sisweb.com/index/referenc/tenaxgrm.htm]. Accessed 20 May 2014

  15. Santonico M, Pennazza G, Grasso S, D’Amico A, Bizzarri M (2013) Design and test of a biosensor-based multisensorial system: a proof of concept study. Sensors (Basel) 13:16625–16640

    Article  CAS  Google Scholar 

  16. Rencher AC (2002) Methods of multivariate analysis. John Wiley & Sons Inc., New York

    Book  Google Scholar 

  17. Lehmann EL (1993) The Fisher, Neyman-Pearson theories of testing hypotheses: one theory or two? J Am Stat Assoc 88:1242–1249

    Article  Google Scholar 

  18. Corsonello A, Pedone C, Scarlata S, Zito A, Laino I, Antonelli-Incalzi R (2013) The oxygen therapy. Curr Med Chem 20:1103–1126

    Article  CAS  PubMed  Google Scholar 

  19. Row BW (2007) In: Roach RC et al (eds) Chapter 5 in Hypoxia and the circulation. Springer, New York, p 5114

    Google Scholar 

  20. Koutsourelakis I, Perraki E, Economou NT, Dimitrokalli P, Vagiakis E, Roussos C, Zakynthinos S (2009) Predictors of residual sleepiness in adequately treated obstructive sleep apnoea patients. Eur Respir J 34:687–693

    Article  CAS  PubMed  Google Scholar 

Download references

Conflict of interest

none.

Financial support

none

Author’s contribution and acknowledgement

Raffaele Antonelli Incalzi: study concept and design, analysis and interpretation of data, preparation of manuscript, revision of the manuscript for important intellectual content.

Giorgio Pennazza: acquisition of subjects and data, study concept and design, analysis and interpretation of data, statistical advice, preparation of manuscript

Simone Scarlata: acquisition of subjects and data, study concept and design, analysis and interpretation of data, preparation of manuscript.

Marco Santonico: acquisition of subjects and data, study concept and design, analysis and interpretation of data, preparation of manuscript.

Chiara Vernile: acquisition of subjects and data; analysis and interpretation of data;

Livio Cortese: acquisition of subjects and data.

Elena Frezzotti: acquisition of subjects and data.

Claudio Pedone: analysis and interpretation of data, statistical advice, preparation of manuscript.

Arnaldo D’Amico: analysis and interpretation of data, revision of the manuscript for important intellectual content

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Simone Scarlata.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Incalzi, R.A., Pennazza, G., Scarlata, S. et al. Comorbidity modulates non invasive ventilation-induced changes in breath print of obstructive sleep apnea syndrome patients. Sleep Breath 19, 623–630 (2015). https://doi.org/10.1007/s11325-014-1065-y

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11325-014-1065-y

Keywords

Navigation