- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03043703
AirSense 10 AHI Validation Study
March 26, 2019 updated by: ResMed
Accuracy of Detection and Reporting of Sleep-disordered Breathing Metrics Determined by the ResMed AirSense 10 in AirView
The AirSense 10 platform is able to detect respiratory events at night and report these data via telemonitoring.
The accuracy of the AirSense 10 will be compared with scoring with polysomnography (PSG).
100 patients will be observed in a sleep facility under PSG and AirSense treatment.
Study Overview
Status
Withdrawn
Conditions
Intervention / Treatment
Detailed Description
Sleep disordered breathing is commonly assessed by calculating an Apnea-Hypopnea-Index AHI and a Hypopnea-Index HI to define how frequent breathing or breathing efforts stop during the night.
The severity of sleep apnea (SA) is determined by the number of occurring apneas and hypopneas.
The respiratory disturbance index (RDI) captures these events and is calculated comprising an AHI but also RERAs via the flow signal.
Polysomnography (PSG) is being used in the sleep laboratory as the Gold standard method to document a patient's sleep behavior by tracking air flow, respiratory effort, blood oxygen and electrocardiac as well as electromyographic signals.
This way a comprehensive sleep pattern analysis can be created and different forms of SA can be detected.
However, the method is laborious and cost-intensive, so it could save time and costs to have events accurately scored by the device itself.
Device data become important when tracking a patient's sleep night by night and not only once.
Reliable sleep data can be a valuable tool for tailoring sleep therapy to specific patient's needs.
Accurate device data also build the foundation for analysis of large amounts of data, which can help us understanding how sleep disorders develop.
Study Type
Interventional
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
-
-
Baden-Wuerttemberg
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Blaubeuren, Baden-Wuerttemberg, Germany, 89143
- Schlaf- und Beatmungszentrum Blaubeuren
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Nordrhein-Westfalen
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Essen, Nordrhein-Westfalen, Germany, 45239
- Ruhrlandklinik Essen
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-
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
16 years to 97 years (Adult, Older Adult)
Accepts Healthy Volunteers
No
Genders Eligible for Study
All
Description
Inclusion Criteria:
- Patients aged ≥18 years who are able to understand and follow the instructions of the study personnel
- Patients with an indication for PAP therapy or currently adherent to PAP therapy (device usage ≥4 h/ night) for moderate to severe sleep apnoea and diagnostic AHI ˃15/h and/or a residual CAI ˃5/h
- Patients with currently titrated fixed CPAP pressure ≥8 cmH2O; or 95th percentile APAP pressure ≥8 cmH2O; or ASV therapy with a 95th percentile IPAP of ≥8 cmH2O
- Patients who are established PAP users (PAP use duration ≥6 weeks)
- Dated and signed written informed consent
Exclusion Criteria:
- Patients with moderate to severe obstructive airway disease and/or respiratory insufficiency
- Patients with heart failure in NYHA class III or IV, unstable hypertension, paroxysmal/persistent atrial fibrillation, unstable angina pectoris, cardiac or cerebral ischemic events within the last 6 months before screening
- Patients with current primary or secondary insomnia
- Patients who are pregnant or breastfeeding
- Patients who are physically unable to comply with the protocol
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: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
Experimental: AirSense 10 AutoSet for Her
Treatment for 1 night with ResMed AirSense 10 AutoSet for Her.
Intervention: Administration of PAP Treatment with suboptimal pressure for 1 night.
|
Positive airway pressure
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
To evaluate the diagnostic accuracy of the AirSense 10 Apnea-Hypopnea-Index (AHI) algorithm compared to polysomnography (PSG) scored AHI.
Time Frame: 1 night
|
Calculate accuracy of the device when scoring Apnoeas and Hypopneas by comparing to polysomnography scoring.
Identify Apneas (at least 90% decrease of airflow for at least 10 seconds) and Hypopneas (decrease of airflow by at least 30% for at least 10 seconds accompanied by a reduction of Oxygen Saturation of 4%) and calculate the apnea-hypopnea-index (AHI): (apneas + hypopneas)/hours of sleep.
|
1 night
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
To evaluate the diagnostic accuracy of the AirSense 10 Apnea-Hypopnea-Index (AHI) detection compared to polysomnography (PSG) gold standard scored AHI for clinical relevant threshold values.
Time Frame: 1 night
|
For secondary endpoint different cut-off values of AHI will be used to determine the accuracy at clinical relevant thresholds.
To calculate device AHI accuracy compared to PSG AHI, receiver-operator-curves will be created and sensitivity and specificity calculated based on an AHI cut-off of 5, 15 or 30.
|
1 night
|
To evaluate the diagnostic accuracy of the AirSense 10 Obstructive Apnea-Index (OAI) detection compared to polysomnography (PSG) gold standard scored OAI.
Time Frame: 1 night
|
Calculate accuracy of the device when scoring obstructive apnoeas by comparing to polysomnography scoring.
Identify Apneas (at least 90% decrease of airflow for at least 10 seconds) and calculate the obstructive apnea-index (OAI): (apneas)/hours of sleep.
|
1 night
|
To evaluate the diagnostic accuracy of the AirSense 10 Central Apnea-Index (CAI) detection compared to polysomnography (PSG) gold standard scored CAI.
Time Frame: 1 night
|
Calculate accuracy of the device when scoring central apnoeas by comparing to polysomnography scoring.
Identify Apneas (at least 90% decrease of airflow for at least 10 seconds) and calculate the central apnea-index (CAI): (apneas)/hours of sleep.
|
1 night
|
To evaluate the diagnostic accuracy of the AirSense 10 Respiratory-Disturbance-Index (RDI) detection compared to polysomnography (PSG) gold standard scored RDI.
Time Frame: 1 night
|
Calculate accuracy of the device when scoring respiratory disturbances by comparing to polysomnography scoring.
Identify Apneas (at least 90% decrease of airflow for at least 10 seconds) and hypopneas (at least 90% decrease of airflow for at least 10 seconds) with a 3%drop in Oxygen saturation from baseline Level, and RERAs (flow Limitation that does not Count as an hypopnea) and calculate the respiratory disturbance-index (RDI): (apneas + hypopneas + RERAs)/hours of sleep.
|
1 night
|
Evaluate the diagnostic accuracy of the AirSense 10 Respiratory Effort Related Arousals (RERA) detection compared to polysomnography (PSG) gold standard scored RERA.
Time Frame: 1 night
|
Calculate accuracy of the device when scoring RERAs by comparing to polysomnography scoring RERAs.
Identify RERAs (flow Limitation that does not Count as an hypopnea) and calculate the RERA-Index: RERAs/hours of sleep.
|
1 night
|
To evaluate the diagnostic accuracy of AirView AHI reporting compared to reporting via ResScan (SD card data)
Time Frame: 1 night
|
AirView is a cloud-based ResMed telemonitoring platform where sleep data can be transferred remotely, displayed and analysed.
ResScan is an analysis and reporting software, where device data from the memory card is being uploaded.
|
1 night
|
To evaluate the diagnostic accuracy of AirView RDI reporting compared to reporting via ResScan (SD card data).
Time Frame: 1 night
|
AirView is a cloud-based ResMed telemonitoring platform where sleep data can be transferred remotely, displayed and analysed.
ResScan is an analysis and reporting software, where device data from the memory card is being uploaded.
|
1 night
|
Sensitivity, specificity and accuracy of the sleep state detection algorithm of the AirSense10 for Her
Time Frame: 1 night
|
Identify the sleep stage: Stage W (wakefulness), stage N1 (NREM1), stage N2 (NREM2), stage N3 (NREM3) and stage R (REM)
|
1 night
|
Sensitivity, specificity and accuracy of sleep efficiency as derived from the sleep state detection algorithm of the AirSense10 for Her
Time Frame: 1 night
|
Calculate sleep efficiency by dividing minutes of sleep by minutes of time in bed
|
1 night
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Investigators
- Principal Investigator: Volker Toepfer, Dr, Lungenzentrum Ulm
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Berry RB, Budhiraja R, Gottlieb DJ, Gozal D, Iber C, Kapur VK, Marcus CL, Mehra R, Parthasarathy S, Quan SF, Redline S, Strohl KP, Davidson Ward SL, Tangredi MM; American Academy of Sleep Medicine. Rules for scoring respiratory events in sleep: update of the 2007 AASM Manual for the Scoring of Sleep and Associated Events. Deliberations of the Sleep Apnea Definitions Task Force of the American Academy of Sleep Medicine. J Clin Sleep Med. 2012 Oct 15;8(5):597-619. doi: 10.5664/jcsm.2172.
- Pepin JL, Guillot M, Tamisier R, Levy P. The upper airway resistance syndrome. Respiration. 2012;83(6):559-66. doi: 10.1159/000335839. Epub 2012 Mar 1.
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 (Anticipated)
April 1, 2019
Primary Completion (Anticipated)
March 1, 2020
Study Completion (Anticipated)
June 1, 2020
Study Registration Dates
First Submitted
February 2, 2017
First Submitted That Met QC Criteria
February 2, 2017
First Posted (Estimate)
February 6, 2017
Study Record Updates
Last Update Posted (Actual)
March 28, 2019
Last Update Submitted That Met QC Criteria
March 26, 2019
Last Verified
March 1, 2019
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- ES-RDIVal-01
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
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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