Validation of a New Algorithm for Screening Sleep Apnea Syndrome From Electrocardiogram

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

150 participants

Study Classification

OBSERVATIONAL

Study Start Date

2021-03-01

Study Completion Date

2021-05-01

Brief Summary

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Sleep apnea syndrome is a prevalent disease, recognized as an independant risk factor for cardiovascular diseases The gold standard for the diagnosis of sleep apnea is the polysomnography. But polysomnography is time-consuming and very expensive. We developed an algorithm for screening sleep apnea from electrocardiographic signal. This would lead to the simplification of screening sleep apnea by using a two-channels recording device and computerizing the scoring of respiratory events. The validation of the algorithm will consist in comparing the number of apnea and hypopnea per hour of sleep (AHI) detected by the algorithm from the electrocardiographic signal recorded during a standard polysomnography in the Center for Sleep Medicine and Research in Nancy, with the AHI resulted from the standard interpretation of the same polysomnography by experts in sleep scoring (gold standard).

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Detailed Description

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Conditions

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Sleep Apnea

Study Design

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Observational Model Type

CASE_ONLY

Study Time Perspective

RETROSPECTIVE

Study Groups

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Patients with sleep apnea

We selected 150 patients recorded by polysomnography between january 2019 and june 2020 in the Center for Sleep Medecine and Research in Nancy.

polysomnography

Intervention Type DIAGNOSTIC_TEST

Polysomnography consisted in recording sleep parameters during one night, using a non-invasive multi-channels device, including respiratory sensors, electrocardiogram and electroencephalogram

Interventions

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polysomnography

Polysomnography consisted in recording sleep parameters during one night, using a non-invasive multi-channels device, including respiratory sensors, electrocardiogram and electroencephalogram

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

* all patients with a polysomnography recorded in the Center for Sleep Medecine and Research (CSMR) in Nancy from january 2019 and june 2020
* results of standard interpretation of polysomnography giving a number of hypopnea and apnea per hour of sleep (AHI) superior to 5