Obstructive Sleep Apnea Clinical Trial
Official title:
CPAP Titration Using an Artificial Neural Network: A Randomized Controlled Study
NCT number | NCT00497640 |
Other study ID # | MED4890507E |
Secondary ID | |
Status | Withdrawn |
Phase | N/A |
First received | |
Last updated | |
Start date | May 2007 |
Est. completion date | June 2009 |
Verified date | September 2009 |
Source | State University of New York at Buffalo |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
The purpose of the study is to determine the validity of the prediction model in reducing the rate of CPAP titration failure and in achieving a shorter time to optimal pressure
Status | Withdrawn |
Enrollment | 0 |
Est. completion date | June 2009 |
Est. primary completion date | July 2008 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years to 80 Years |
Eligibility | Inclusion Criteria: 1. patients 18 years of age and older, 2. documented OSA by sleep study defined as AHI > 5/hr Exclusion Criteria: 1. previously treated OSA, 2. unwilling to undergo a titration study, 3. unable or unwilling to sign an informed consent. |
Country | Name | City | State |
---|---|---|---|
United States | State University of New York at Buffalo | Buffalo | New York |
Lead Sponsor | Collaborator |
---|---|
State University of New York at Buffalo |
United States,
El Solh AA, Aldik Z, Alnabhan M, Grant B. Predicting effective continuous positive airway pressure in sleep apnea using an artificial neural network. Sleep Med. 2007 Aug;8(5):471-7. Epub 2007 May 18. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Time to achieve optimal CPAP | minutes | ||
Secondary | Failure Rate of CPAP titration | percentage |
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