Skip to main content
Log in

Accuracy of a novel auto-CPAP device to evaluate the residual apnea-hypopnea index in patients with obstructive sleep apnea

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

Abstract

Background

Patients under treatment with continuous positive airway pressure (CPAP) may have residual sleep apnea (RSA).

Objective

The main objective of our study was to evaluate a novel auto-CPAP for the diagnosis of RSA.

Methods

All patients referred to the sleep laboratory to undergo CPAP polysomnography were evaluated. Patients treated with oxygen or noninvasive ventilation and split-night polysomnography (PSG), PSG with artifacts, or total sleep time less than 180 min were excluded. The PSG was manually analyzed before generating the automatic report from auto-CPAP. PSG variables (respiratory disturbance index (RDI), obstructive apnea index, hypopnea index, and central apnea index) were compared with their counterparts from auto-CPAP through Bland–Altman plots and intraclass correlation coefficient. The diagnostic accuracy of autoscoring from auto-CPAP using different cutoff points of RDI (≥5 and 10) was evaluated by the receiver operating characteristics (ROCs) curve.

Results

The study included 114 patients (24 women; mean age and BMI, 59 years old and 33 kg/m2; RDI and apnea/hypopnea index (AHI)-auto median, 5 and 2, respectively). The average difference between the AHI-auto and the RDI was −3.5 ± 3.9. The intraclass correlation coefficient (ICC) between the total number of central apneas, obstructive, and hypopneas between the PSG and the auto-CPAP were 0.69, 0.16, and 0.15, respectively. An AHI-auto >2 (RDI ≥ 5) or >4 (RDI ≥ 10) had an area under the ROC curve, sensitivity, specificity, positive likelihood ratio, and negative for diagnosis of residual sleep apnea of 0.84/0.89, 84/81 %, 82/91 %, 4.5/9.5, and 0.22/0.2, respectively.

Conclusions

The automatic analysis from auto-CPAP (S9 Autoset) showed a good diagnostic accuracy to identify residual sleep apnea. The absolute agreement between PSG and auto-CPAP to classify the respiratory events correctly varied from very low (obstructive apneas, hypopneas) to moderate (central apneas).

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
Fig. 5
Fig. 6

Similar content being viewed by others

References

  1. Baltzan MA, Kassissia I, Elkholi O, Palayew M, Dabrusin R, Wolkove N (2006) Prevalence of persistent sleep apnea in patients treated with continuous positive airway pressure. Sleep 29:557–663

    PubMed  Google Scholar 

  2. Shahar E, Whitney CW, Redline S, Lee ET, Newman AB, Nieto FJ, O'Connor GT, Boland LL, Schwartz JE, Samet JM (2001) Sleep-disordered breathing and cardiovascular disease: cross-sectional results of the Sleep Heart Health Study. Am J Respir Crit Care Med 163:19–25

    Article  CAS  PubMed  Google Scholar 

  3. Young T, Blustein J, Finn L, Palta M (1997) Sleep-disordered breathing and motor vehicle accidents in a population-based sample of employed adults. Sleep 20:608–613

    CAS  PubMed  Google Scholar 

  4. Young T, Peppard P, Palta M, Hla KM, Finn L, Morgan B, Skatrud J (1997) Population-based study of sleep-disordered breathing as a risk factor for hypertension. Arch Int Med 157:1746–1752

    Article  CAS  Google Scholar 

  5. Pepperell JC, Ramdassingh-Dow S, Crosthwaite N, Mullins R, Jenkinson C, Stradling JR, Davies RJ (2002) Ambulatory blood pressure after therapeutic and subtherapeutic nasal continuous positive airway pressure for obstructive sleep apnoea: a randomised parallel trial. Lancet 359:204–210

    Article  PubMed  Google Scholar 

  6. Practice parameters for the indications for polysomnography and related procedures. Polysomnography Task Force, American Sleep Disorders Association Standards of Practice Committee (1997) Sleep 20:406–422

  7. Pittman SD, Pillar G, Berry RB, Malhotra A, MacDonald MM, White DP (2006) Follow-up assessment of CPAP efficacy in patients with obstructive sleep apnea using an ambulatory device based on peripheral arterial tonometry. Sleep Breath 10:123–131

    Article  PubMed  Google Scholar 

  8. Sériès F, Plante J, Lacasse Y (2008) Reliability of home CPAP titration with different automatic CPAP devices. Respir Res 9:56

    Article  PubMed Central  PubMed  Google Scholar 

  9. Woodson BT, Saurejan A, Brusky LT, Han JK (2003) Nonattended home automated continuous positive airway pressure titration: comparison with polysomnography. Otolaryngol Head Neck Surg 128:353–357

    Article  PubMed  Google Scholar 

  10. Ueno K, Kasai T, Brewer G, Takaya H, Maeno K, Kasagi S, Kawana F, Ishiwata S, Narui K (2010) Evaluation of the apnea-hypopnea index determined by the S8 auto-CPAP, a continuous positive airway pressure device, in patients with obstructive sleep apnea-hypopnea syndrome. J Clin Sleep Med 6:146–151

    PubMed Central  PubMed  Google Scholar 

  11. Ikeda Y, Kasai T, Kawana F, Kasagi S, Takaya H, Ishiwata S, Narui K (2012) Comparison between the apnea-hypopnea indices determined by the REMstar Auto M series and those determined by standard in-laboratory polysomnography in patients with obstructive sleep apnea. Intern Med 51:2877–2885

    Article  PubMed  Google Scholar 

  12. Prasad B, Carley DW, Herdegen JJ (2010) Continuous positive airway pressure device-based automated detection of obstructive sleep apnea compared to standard laboratory polysomnography. Sleep Breath 14:101–107

    Article  PubMed  Google Scholar 

  13. Mulgrew AT, Lawati NA, Ayas NT, Fox N, Hamilton P, Cortes L, Ryan CF (2010) Residual sleep apnea on polysomnography after 3 months of CPAP therapy: clinical implications, predictors and patterns. Sleep Med 11:119–125

    Article  PubMed  Google Scholar 

  14. Desai H, Patel A, Patel P, Grant BJ, Mador MJ (2009) Accuracy of autotitrating CPAP to estimate the residual apnea-hypopnea Index in patients with obstructive sleep apnea on treatment with autotitrating CPAP. Sleep Breath 13:383–390

    Article  PubMed  Google Scholar 

  15. Morgenthaler TI, Aurora RN, Brown T, Zak R, Alessi C, Boehlecke B, Chesson AL Jr, Friedman L, Kapur V, Maganti R, Owens J, Pancer J, Swick TJ (2008) Practice parameters for the use of autotitrating continuous positive airway pressure devices for titrating pressures and treating adult patients with obstructive sleep apnea syndrome: an update for 2007. An American Academy of Sleep Medicine report. Sleep 31:141–147

    PubMed Central  PubMed  Google Scholar 

  16. Rechtschafen A, Kales A (1968) A manual of standarized technology, techniques and scoring system for sleep stages of human subjects. Brain information Service, Braininformation institute, University of California, Los Angeles

    Google Scholar 

  17. American Sleep Disorders Association (1992) The Atlas Task Force. EEG arousals: scoring rules and examples. Sleep 15:174–184

    Google Scholar 

  18. Consenso Nacional sobre el Síndrome Apneas-Hipopneas del Sueño del Grupo Español de Sueño Definición y concepto, fisiopatología, clínica y exploración del SAHS (2005) Arch bronconeumol 41 Extraordinario 4:12–29

  19. Ayappa I, Norman RG, Krieger AC, Rosen A, O'malley RL, Rapoport DM (2000) Non-invasive detection of respiratory effort-related arousals (REras) by a nasal cannula/pressure transducer system. Sleep 23:763–771

    CAS  PubMed  Google Scholar 

  20. Masa JF, Corral J, Martín MJ, Riesco JA, Sojo A, Hernández M, Douglas NJ (2003) Assessment of thoracoabdominal bands to detect respiratory effort-related arousal. Eur Respir J 22:661–667

    Article  CAS  PubMed  Google Scholar 

  21. Sala H, Nigro C, Rabec C, Guardia AS, Smurra M (2001) Consenso Argentino de Trastornos Respiratorios Vinculados al Sueño. Medicina 61:351–363

    CAS  PubMed  Google Scholar 

  22. Guilleminault C, Bassiri A (2005) Clinical features and evaluation of obstructive sleep apnea-hypopnea syndrome and upper airway resistance syndrome. In: Kryger MH, Roth T, Dement WC (eds) Principles and practice of sleep medicine, 4th edn. Elservier Inc, Philadelphia, pp 1043–1052

    Chapter  Google Scholar 

  23. Pita Fernández S, Pértega Díaz S (2003) Pruebas diagnósticas. Cad Aten Prim 10:120–124

    Google Scholar 

Download references

Acknowledgments

The authors wish to thank Ms. Jaquelina Mastantuono for revising the English text.

Conflict of interest

This study had no financial support. We declare there were no conflicts of interest related to this investigation.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Carlos Alberto Nigro.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Nigro, C.A., González, S., Arce, A. et al. Accuracy of a novel auto-CPAP device to evaluate the residual apnea-hypopnea index in patients with obstructive sleep apnea. Sleep Breath 19, 569–578 (2015). https://doi.org/10.1007/s11325-014-1048-z

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11325-014-1048-z

Keywords

Navigation