Auto Continuous Positive Airway Pressure (CPAP) Based Energy Spectrum Analysis of Flow for Treatment of Obstructive Sleep Apnea Hypopnea Syndrome (OSAHS)

This study has been completed.
Sponsor:
Information provided by:
Fisher and Paykel Healthcare
ClinicalTrials.gov Identifier:
NCT00750165
First received: September 8, 2008
Last updated: September 10, 2008
Last verified: September 2008

September 8, 2008
September 10, 2008
May 2007
January 2008   (final data collection date for primary outcome measure)
Apnea Hypopnea Index (AHI) [ Time Frame: 1 night ] [ Designated as safety issue: No ]
Same as current
Complete list of historical versions of study NCT00750165 on ClinicalTrials.gov Archive Site
  • Oxygen saturation [ Time Frame: 1 Night ] [ Designated as safety issue: No ]
  • Sleep Efficiency [ Time Frame: 1 Night ] [ Designated as safety issue: No ]
  • Arousal Index (AI) [ Time Frame: 1 Night ] [ Designated as safety issue: No ]
Same as current
Not Provided
Not Provided
 
Auto Continuous Positive Airway Pressure (CPAP) Based Energy Spectrum Analysis of Flow for Treatment of Obstructive Sleep Apnea Hypopnea Syndrome (OSAHS)
Auto CPAP Based Energy Spectrum Analysis of Flow for Treatment of Obstructive Sleep Apnea Hypopnea Syndrome.

Nasal Continuous Positive Airway Pressure (CPAP) is the standard therapy for obstructive sleep apnea hypopnea syndrome (OSAHS). This is most commonly administered as a single positive pressure that has been individualized for the patient to prevent obstructive respiratory events. However, the therapeutic pressure may vary by sleep stage and body position within a single night and may change over the course of several nights. One approach to dealing with this variability is the use of automatically adjusting CPAP that responds to patient breathing patterns with alterations in the delivered pressure. This study is designed to determine the effectiveness of using the energy spectrum analysis of flow signals to automatically adjust CPAP pressure and improve sleep variables. Thirty subjects who require CPAP will be recruited from the NYU sleep disorders center. Following diagnostic studies (either split night or full night) the subject will undergo a night of treatment with the Fisher and Paykel Healthcare AutoPAP. Efficacy of treatment will be evaluated based on normalization of sleep disordered breathing while treated with the AutoPAP.

Not Provided
Interventional
Phase 3
Endpoint Classification: Efficacy Study
Intervention Model: Single Group Assignment
Masking: Open Label
Primary Purpose: Treatment
Sleep Apnea, Obstructive
Device: SleepStyle 200 Auto Series CPAP Humidifier
The device is a standard CPAP machine with a built in computer controller that incorporates software for evaluation of the flow signal obtained from the CPAP machine
Other Name: HC254
Experimental: 1
Treatment with the Fisher & Paykel Sleep Style 200 Auto CPAP device
Intervention: Device: SleepStyle 200 Auto Series CPAP Humidifier
Norman RG, Rapoport DM, Ayappa I. Detection of flow limitation in obstructive sleep apnea with an artificial neural network. Physiol Meas. 2007 Sep;28(9):1089-100. Epub 2007 Sep 5.

*   Includes publications given by the data provider as well as publications identified by ClinicalTrials.gov Identifier (NCT Number) in Medline.
 
Completed
30
January 2008
January 2008   (final data collection date for primary outcome measure)

Inclusion Criteria:

  • AHI >15 on the diagnostic portion of the study
  • >18 years of age

Exclusion Criteria:

  • Significant Central Apnea
  • Congestive Heart Failure
  • Inability to give informed consent
  • Patient intolerance to CPAP
  • Anatomical or physiological conditions making CPAP therapy inappropriate
Both
18 Years and older
No
Contact information is only displayed when the study is recruiting subjects
United States
 
NCT00750165
OSA CPAP; 254 Validation, NYU
Yes
Jessica Hayward, Fisher & Paykel Healthcare
Fisher and Paykel Healthcare
Not Provided
Principal Investigator: David M Rapoport, MD NYU School of Medicine
Fisher and Paykel Healthcare
September 2008

ICMJE     Data element required by the International Committee of Medical Journal Editors and the World Health Organization ICTRP