The accuracy of autotitrating CPAP-determined residual apnea-hypopnea index

Sleep Breath. 2013 Mar;17(1):189-93. doi: 10.1007/s11325-012-0670-x. Epub 2012 Feb 28.


Purpose: Autotitrating continuous positive airway pressure (auto-CPAP) devices not only titrate CPAP pressures but also measure residual respiratory events. The aim of the present study was to determine the accuracy of auto-CPAP-derived residual apnea-hypopnea index (AHI).

Methods: We studied 137 consecutive patients (72.3% men) with obstructive sleep apnea from January 2008 to December 2010 who underwent in-laboratory overnight polysomnography (PSG) using auto-CPAP. We excluded patients with comorbidities like congestive heart disease, chronic obstructive pulmonary disease, or hypoventilation syndromes and patients with central sleep apnea. Residual AHI obtained from the auto-CPAP device by smart card (CPAP-AHI) was compared simultaneously with AHI from an overnight PSG on auto-CPAP (PSG-AHI) using Bland-Altman analysis and Wilcoxon signed-rank test.

Results: The mean AHI on the diagnostic study was 45.08 ± 1.8. During the titration, auto-CPAP markedly suppressed the respiratory events (PSG-AHI, 3.40 ± 0.20). On the other hand, CPAP-AHI was 3.35 ± 0.17. Bland-Altman analysis showed good agreement between auto-CPAP-AHI and PSG-AHI (AHI mean difference of 0.05, and the limits of agreement for the AHI were from +4.9 to -4.8). Two methods have also been compared with paired samples t test and no statistically significant difference was found (p > 0.05).

Conclusion: Auto-CPAP can identify residual respiratory events equivalent to the use of PSG in a selected population.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Body Mass Index
  • Continuous Positive Airway Pressure / methods*
  • Continuous Positive Airway Pressure / statistics & numerical data
  • Diagnosis, Computer-Assisted / methods*
  • Diagnosis, Computer-Assisted / statistics & numerical data
  • Female
  • Humans
  • Male
  • Middle Aged
  • Oxygen / blood
  • Polysomnography / methods*
  • Polysomnography / statistics & numerical data
  • Predictive Value of Tests
  • ROC Curve
  • Retrospective Studies
  • Signal Processing, Computer-Assisted*
  • Sleep Apnea, Obstructive / physiopathology*
  • Sleep Apnea, Obstructive / therapy*
  • Therapy, Computer-Assisted / methods*
  • Therapy, Computer-Assisted / statistics & numerical data


  • Oxygen