Artificial Neural Network Directed Therapy of Severe Obstructive Sleep Apnea

January 12, 2016 updated by: Ali El Solh, State University of New York at Buffalo

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.

Study Overview

Status

Withdrawn

Conditions

Intervention / Treatment

Study Type

Interventional

Phase

  • Phase 3

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

  • United States
    • New York
      • Buffalo, New York, United States, 14215
        • Veterans Affairs Medical Center in Buffalo

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years to 75 years (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

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.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Diagnostic
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: artificial neural network
Other: computer model
Diagnosis of Sleep apnea and treatment guidance will rely on a computer model prediction.
Active Comparator: Polysomnogram
Other: Polysomnogram
Diagnosis of sleep apnea will rely on polysomnogram

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
To demonstrate that using an ANN directed management of OSA is not inferior to PSG directed management of OSA in terms of sleepiness related functional outcome
Time Frame: 6 weeks
6 weeks

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

State University of New York at Buffalo

Collaborators

VA Office of Research and Development

Investigators

  • Principal Investigator: Ali El-Solh, MD, MPH, State University of New York at Buffalo

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

January 1, 2011

Primary Completion (Actual)

March 1, 2015

Study Completion (Actual)

June 1, 2015

Study Registration Dates

First Submitted

January 27, 2011

First Submitted That Met QC Criteria

January 28, 2011

First Posted (Estimate)

January 31, 2011

Study Record Updates

Last Update Posted (Estimate)

January 13, 2016

Last Update Submitted That Met QC Criteria

January 12, 2016

Last Verified

January 1, 2016

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • ANN02

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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