Artificial Neural Network Directed Therapy of Severe Obstructive Sleep Apnea

Withdrawn before enrolling · Phase 3

Conditions studied: Sleep Apnea

In brief

The investigators have developed a simple, accurate, and a point-of-care, computer-based clinical decision support system (CDSS) not only to detect the presence of sleep apnea but also to predict its severity. The CDSS is based on deploying an artificial neural network (ANN) derived from anthropomorphic and clinical characteristics. The investigators hypothesize that patients with severe OSA defined as AHI≥30 can be diagnosed with the use of ANN without undergoing a sleep study, and that empiric management with auto-CPAP has similar outcomes to those who undergo a formal sleep study.

Key facts

Study ID

NCT01286636

Run by

State University of New York at Buffalo

People needed

0

Starts

2011-01-01

Expected to finish

2015-06-01

Last updated by the study team

2016-01-13

Who can join

Age: 18 and older, up to 75. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• Must be an adult (≥18 years old)
• Must have symptoms suggestive of OSA, and be considered for sleep study by the sleep specialist provider.

You may not qualify if…

• Pregnancy or breast feeding
• Patients with severe congestive heart failure (eg, NYHA Class IV, ejection fraction < 35%).
• Patients with end-stage renal disease on hemodialysis
• Patients with CVA, Parkinson, neuromuscular degenerative disease.
• Patient on narcotics.
• Patients with severe lung disease requiring oxygen at night and/or during the day.
• Patient with predominant insomnia or sleep hygiene problems, and who are not considered for PSG by the sleep specialist.

Where it is running

• Veterans Affairs Medical Center in Buffalo — Buffalo, New York, United States

Full record on ClinicalTrials.gov

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