CPAP Titration Using an Artificial Neural Network: A Randomized Controlled Study

Withdrawn before enrolling · Not applicable

Conditions studied: Obstructive Sleep Apnea

In brief

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

Key facts

Study ID

NCT00497640

Run by

State University of New York at Buffalo

People needed

0

Starts

2007-05-01

Expected to finish

2009-06-01

Last updated by the study team

2020-11-25

Who can join

Age: 18 and older, up to 80. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• patients 18 years of age and older,
• documented OSA by sleep study defined as AHI > 5/hr

You may not qualify if…

• previously treated OSA,
• unwilling to undergo a titration study,
• unable or unwilling to sign an informed consent.

Where it is running

• State University of New York at Buffalo — Buffalo, New York, United States

Full record on ClinicalTrials.gov

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