- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT00497640
CPAP Titration Using an Artificial Neural Network: A Randomized Controlled Study
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
In order to derive the most effective pressure, CPAP titration is performed in the sleep laboratory during which the pressure is gradually increased until apneas and hypopneas are abolished in all sleep stages and in all body positions. The technique is however time consuming and labor intensive. Furthermore, the duration of the study may not be sufficient to attain this goal because of patient's poor ability to sleep in this environment or due to difficulty in attaining an appropriate pressure. A predictive algorithm based on demographic, anthropometric, and polysomnographic data was developed to facilitate the selection of a starting pressure during the overnight titration study. Yet, the performance of this model was inconsistent when validated by other centers. One of the potential reasons for the lack of reproducibility is the complex relation of behavioral processes with nonlinear attributes. In areas of complex interactions, the artificial neural network (ANN) has been found to be a more appropriate alternative to linear, parametric statistical tools due to its inherent property of seeking information embedded in relations among variables thought to be independent.
Comparison: time to achieve optimal pressure in the conventional technique versus the intervention model
Study Type
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
New York
-
Buffalo, New York, United States, 14215
- State University of New York at Buffalo
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- patients 18 years of age and older,
- documented OSA by sleep study defined as AHI > 5/hr
Exclusion Criteria:
- previously treated OSA,
- unwilling to undergo a titration study,
- unable or unwilling to sign an informed consent.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Diagnostic
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
Time to achieve optimal CPAP
Time Frame: minutes
|
minutes
|
Secondary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
Failure Rate of CPAP titration
Time Frame: percentage
|
percentage
|
Collaborators and Investigators
Investigators
- Principal Investigator: Ali A El Solh, MD, MPH, Sate University of New York at Buffalo
Publications and helpful links
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimate)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- MED4890507E
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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