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

Central Hospital, Nancy, France150 enrolled

Overview

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).

Study Type

OBSERVATIONAL

Enrollment

150

Conditions

Sleep Apnea

Interventions

polysomnographyDIAGNOSTIC_TEST

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

Eligibility

Sex: ALLMin age: 18 Years

Medical Language ↔ Plain English

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 Exclusion Criteria: * refusal to participate

Outcomes

Primary Outcomes

Concordance of the number of sleep hypopnea and apnea between an algorithm computerizing the electrocardiographic signal and the standard interpretation of the polysomnography by an expert in sleep scoring (gold standard)

Time frame: 18 months