Electrocardiography Data Analysis in Sleep Disorders
Holter
1 other identifier
observational
120
1 country
1
Brief Summary
The objective of this study is to determine if a non-invasive technique, using an innovative analysis of electrocardiogram (ECG) data, would allow for detection of respiratory events during sleep and discrimination between central and obstructive apnea. Obstructive Sleep Apnea (OSA) is the most common respiratory disturbance seen during sleep, with an estimated prevalence of 10 % in the population and is strongly associated with the development of cardiovascular disease. In patients with underlying cardiac disease, particularly in heart failure (HF), central respiratory events such as Cheyne-Stokes Respiration (CSR) are often seen during sleep. The presence of CSR is also associated with increased cardiovascular morbidity and mortality. Currently, the identification and classification of sleep related respiratory disturbances is performed during over-night sleep studies (polysomnography), which are labor-intensive, time-consuming, expensive and difficult for patients. Thus, the development of alternative techniques to assist in the identification of those events in the outpatient setting is of marked importance for widespread screening of sleep apnea.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Sep 2013
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
September 1, 2013
CompletedFirst Submitted
Initial submission to the registry
July 2, 2014
CompletedFirst Posted
Study publicly available on registry
July 11, 2014
CompletedPrimary Completion
Last participant's last visit for primary outcome
November 1, 2017
CompletedStudy Completion
Last participant's last visit for all outcomes
December 1, 2017
CompletedJanuary 4, 2019
January 1, 2019
4.2 years
July 2, 2014
January 3, 2019
Conditions
Outcome Measures
Primary Outcomes (1)
Heart rate variability
The variation in the time interval between heartbeats. It is measured by the variation in the beat-to-beat interval.
One night of sleep study
Secondary Outcomes (2)
Analysis of QRS morphology
One night of sleep study
electrocardiogram signal
One night of sleep study
Study Arms (1)
Polysomnography with Holter monitoring
Patients will undergo resting electrocardiogram (ECG) test at the beginning of the night and be monitored by a Holter device for the duration of the sleep study.
Interventions
Polysomnography, also called a sleep study, is a test used to diagnose sleep disorders. Polysomnography records your brain waves, the oxygen level in your blood, heart rate and breathing, as well as eye and leg movements during the study.
Eligibility Criteria
patients undergoing overnight sleep studies
You may qualify if:
- Patients presenting to the WCMC Sleep Center for polysomnography
You may not qualify if:
- N/A
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Weill Cornell Center for Sleep Medicine
New York, New York, 10065, United States
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Ana Krieger, MD
Weill Medical College of Cornell University
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- CROSS SECTIONAL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
July 2, 2014
First Posted
July 11, 2014
Study Start
September 1, 2013
Primary Completion
November 1, 2017
Study Completion
December 1, 2017
Last Updated
January 4, 2019
Record last verified: 2019-01
Data Sharing
- IPD Sharing
- Will not share