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Artificial Neural Network Directed Therapy of Severe Obstructive Sleep Apnea

NCT01286636 · Status: WITHDRAWN · Phase: PHASE3 · Type: INTERVENTIONAL

Last updated 2016-01-13

No results posted yet for this study

Summary

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.

Conditions

Interventions

OTHER

computer model

Diagnosis of Sleep apnea and treatment guidance will rely on a computer model prediction.

OTHER

Polysomnogram

Diagnosis of sleep apnea will rely on polysomnogram

Sponsors & Collaborators

  • VA Office of Research and Development

    collaborator FED

  • State University of New York at Buffalo

    lead OTHER

Principal Investigators

  • Ali El-Solh, MD, MPH · State University of New York at Buffalo

Study Design

Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
18 Years
Max Age
75 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2011-01-31
Primary Completion
2015-03-31
Completion
2015-06-30

Countries

  • United States

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT01286636 on ClinicalTrials.gov