Improved Automatic CPAP Algorithm to Treat Obstructive Sleep Apnea (OSA)

February 2, 2021 updated by: ResMed

Study of an Improved Automatic CPAP Algorithm for the Treatment of Obstructive Sleep Apnea

The purpose of this study is to compare a modified AutoSet algorithm running on research hardware versus the traditional AutoSet algorithm running on an S7 AutoSet Spirit. The study will determine if the modified AutoSet algorithm reacts appropriately to obstructive apnoeas and hypopnoeas and provides suitable levels of positive airway pressure compared to the S7 AutoSet Spirit.

The hypothesis is that the modified AutoSet algorithm will be more efficacious than the traditional AutoSet algorithm

Study Overview

Detailed Description

Subjects in the trial will spend 2 nights in a sleep laboratory being monitored with a full montage polysomnograph (PSG) with each of the algorithms providing positive airway pressure therapy. The PSG records EEG, EMG, EOG, patient airflow, respiratory effort, blood oxygen saturation, and body position.

In a randomised order each subject will spend one night being treated by the modified AutoSet algorithm and a second night being treated by the traditional AutoSet algorithm.

The subjects will be blinded to which therapy they are receiving and the scorer of the PSG will also be blinded to which therapy is being used.

Study Type

Interventional

Enrollment (Actual)

20

Phase

  • Not Applicable

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

    • New South Wales
      • Sydney, New South Wales, Australia, 2000
        • Sleep & Chest Disorders Centre

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 70 years (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

Inclusion Criteria:

  • PSG-confirmed diagnosis of OSA, showing an apnoea-hypopnoea index (AHI) of at least 15 events/hr and an obstructive apnoea index (OAI) of at least 5 events/hr.
  • On CPAP therapy (fixed pressure or autoCPAP) for at least 1 month.
  • Using a ResMed mask (this requirement applies only to phase 2 of the trial) without significant discomfort for at least 2 weeks.
  • Age between 18 and 70 years.
  • Written informed consent.

Exclusion Criteria:

  • Unstable medical condition, including unstable angina, myocardial infarction within previous 6 months, cardiac failure NYHA grades III and IV, epilepsy, psychiatric disturbance.
  • Respiratory insufficiency, defined as arterial CO2 greater than 50 mm Hg during the daytime or arterial oxygen saturation less than 90% when asleep and breathing room air on effective CPAP therapy.
  • Recent severe epistaxis.
  • History of spontaneous pneumothorax.
  • History of regurgitation of gastric contents during sleep.
  • Unable to give written informed consent.

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: Treatment
  • Allocation: Randomized
  • Interventional Model: Crossover Assignment
  • Masking: Double

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: modified autoset
the modified AutoSet responds to different breathing patterns than the standard AutoSet, to treat OSA. Participants in this arm will trial the modified AutoSet for one night, and the standard AutoSet for one night, in a randomised order
The modified AutoSet algorithm responds to more patient "non-normal" flow types than the standard AutoSet algorithm
Other Names:
  • Enhanced AutoSet algorithm
The standard AutoSet used for treatment of OSA
Active Comparator: standard AutoSet
The standard autoset treat OSA by using pressure increases to overcome abnormal breathing patterns. Patients in this arm will use the standard AutoSet for one night and the modified AutoSet for one night, in a randomised order
The modified AutoSet algorithm responds to more patient "non-normal" flow types than the standard AutoSet algorithm
Other Names:
  • Enhanced AutoSet algorithm
The standard AutoSet used for treatment of OSA

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Physiological sleep signals including EEG, Sp02, respiratory effort and nasal flow, will be recorded, analysed and reported in the form of a series of indices, which are the outcome variables of the study.
Time Frame: Two consecutive nights
sleep signals taken from overnight polysomnography recordings
Two consecutive nights

Collaborators and Investigators

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

Sponsor

Investigators

  • Principal Investigator: Klaus Schindhelm, PhD, ResMed / University of NSW

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

November 1, 2005

Primary Completion (Actual)

September 1, 2008

Study Completion (Actual)

November 1, 2008

Study Registration Dates

First Submitted

February 24, 2009

First Submitted That Met QC Criteria

February 24, 2009

First Posted (Estimate)

February 25, 2009

Study Record Updates

Last Update Posted (Actual)

February 4, 2021

Last Update Submitted That Met QC Criteria

February 2, 2021

Last Verified

February 1, 2021

More Information

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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