ECG Derived Respiration for Automated Screening of Sleep Disordered Breathing in Chronic Heart Failure Patients

NCT02116686 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 100

Last updated 2015-03-31

No results posted yet for this study

Summary

The prevalence of sleep disordered breathing (SDB) reaches more than 50% in chronic heart failure patients (CHF). The main consequence is an increase risk of fatal and non-fatal cardiovascular events. A treatment by continuous positive airway pressure (CPAP) or adaptative servo-ventilation (ASV) reduces this risk. Nevertheless, 75% of severe SDB cases remains undiagnosed and untreated especially due to cost and time delay for polysomnography examination which is the gold standard for SDB diagnosis. Indeed, alternative methods are developed. Some methods, based on nocturnal ECG analysis showed promising results but they are not validated and adapted for cardiac population. Thus, the goal of present study is to test the accuracy of ECG derived respiration signal to screen SDB in a CHF population.

Conditions

Interventions

DEVICE

ventilatory polygraphic recordings

Standard nocturnal in-home ventilatory polygraphic recordings were performed using an Embla device (Embla®, Broomfield, USA) and scored according to the AASM recommendations (RemLogic® software, Broomfield, USA).

Sponsors & Collaborators

  • Centre Hospitalier Universitaire de Saint Etienne

    lead OTHER

Principal Investigators

  • Frederic ROCHE, MD PhD · CHU de Saint-Etienne

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2013-06-30
Primary Completion
2014-11-30
Completion
2014-11-30

Countries

  • France

Study Locations

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Entities

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT02116686 on ClinicalTrials.gov