Clinical Trial Details
— Status: Completed
Administrative data
NCT number |
NCT04191668 |
Other study ID # |
NightOwl-01 |
Secondary ID |
|
Status |
Completed |
Phase |
N/A
|
First received |
|
Last updated |
|
Start date |
December 2, 2019 |
Est. completion date |
February 1, 2020 |
Study information
Verified date |
March 2021 |
Source |
Ectosense NV |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Interventional
|
Clinical Trial Summary
The objective of this study is to evaluate the performance of a miniaturized sleep apnea
test, called NightOwl. The system consists of a sensor placed on the fingertip and a
cloud-based analytics software. The sensor acquires accelerometer and photoplethysmographic
data. The software derives actigraphy from the former, and blood oxygen saturation and
peripheral arterial tone (PAT), among other features, from the latter. In order to assess
NightOwl's performance, the investigators will compare the respiratory event index (REI),
defined as the number of respiratory events per hour of sleep, derived by the NightOwl
system, to the apnea-hypopnea index (AHI) obtained from manual analysis of the
polysomnography (PSG), which is the gold standard for sleep apnea diagnosis. The
investigators will also compare the total sleep time (TST) derived by both systems. This
study will be performed in a sleep lab environment.
Description:
The objective of this study is to evaluate the performance of a miniaturized sleep apnea
test, called NightOwl. The system consists of a sensor placed on the fingertip and a
cloud-based analytics software. The sensor acquires accelerometer and photoplethysmographic
data. The software derives actigraphy from the former, and blood oxygen saturation and
peripheral arterial tone (PAT), among other features, from the latter. In order to assess
NightOwl's performance, The investigators will compare the respiratory event index (REI),
defined as the number of respiratory events per hour of sleep, derived by the NightOwl
system, to the AHI obtained from manual analysis of the polysomnography (PSG), which is the
gold standard for sleep apnea diagnosis. The investigators will also compare the total sleep
time (TST) derived by both systems. This study will be performed in a sleep lab environment.
As of March 2017, the new clinical practice guideline for diagnostic testing for adult sleep
apnea of the American Academy of Sleep Medicine (AASM) for the first time formulates a strong
recommendation that both polysomnography (PSG) and home sleep apnea testing (HSAT) are
appropriate diagnostic testing options for uncomplicated adult patients who are at increased
risk of moderate to severe sleep apnea.
Collop et al. performed a comprehensive analysis of the evidence for HSAT devices to diagnose
obstructive sleep apnea (OSA) in out-of-center settings. The authors concluded that testing
devices that analyze changes in peripheral arterial tone (PAT) in combination with actigraphy
and blood oxygen saturation (SpO2) are adequate to diagnose OSA in patient populations with a
high pre-test probability.
In this study, the investigators wish to assess the performance of a system for the diagnosis
of OSA that measures and analyzes the abovementioned parameters, called NightOwl. The system
consists of a small sensor device which is placed on the fingertip and a cloud-based
analytics platform.
It is designed to be self-applied and initiated by the patient by attaching the sensor to the
fingertip by means of an adhesive patch.