View Clinical Trial (Medical Research Study)
Artificial Neural Network Directed Therapy of Severe Obstructive Sleep Apnea
| City: |
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Buffalo |
| State: |
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New York |
| Zip Code: |
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14215 |
| Conditions: |
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Sleep Apnea |
| Purpose: |
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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.
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| Study Summary: |
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| Criteria: |
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Inclusion Criteria:
- Must be an adult (≥18 years old)
- Must have symptoms suggestive of OSA, and be considered for sleep study by the sleep
specialist provider.
Exclusion Criteria:
- 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.
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| NCT ID: |
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NCT01286636 |
| Primary Contact: |
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Principal Investigator
Ali El-Solh, MD, MPH
State University of New York at Buffalo
Ali El-Solh, MD, MPH
Phone: 7168628622
Email: solh@buffalo.edu
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| Backup Contact: |
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N/A |
| Location Contact: |
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Buffalo, New York 14215
United States
Ali El-Solh, MD, MPH
Phone: 716-862-8622
Email: solh@buffalo.edu
Site Status: Recruiting |
| Data Source: |
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ClinicalTrials.gov |
| Date Processed: |
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June 19, 2013 |
| Modifications to this listing: |
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