Long QT Syndrome and Sleep Apnea
Obstructive Sleep Apnea and Cardiac Electrophysiologic Biomarkers of Sudden Cardiac Death
1 other identifier
interventional
9
1 country
1
Brief Summary
Obstructive sleep apnea (OSA) has been associated with cardiac repolarization abnormalities and implicated in sudden cardiac death. A biologically plausible mechanism by which OSA exerts this lethality is by QT interval prolongation, a known marker of ventricular tachyarrhythmias (VTA) leading to cardiac death. Congenital long QT syndrome (LQTS) is a familial arrhythmogenic disorder characterized by prolonged QT interval on the electrocardiogram and increased propensity for VTA. Preliminary data identify an association of the extent of severity of OSA and progressive prolongation of the corrected QT interval in LQTS.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for not_applicable
Started Mar 2019
Shorter than P25 for not_applicable
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
First Submitted
Initial submission to the registry
September 5, 2018
CompletedFirst Posted
Study publicly available on registry
September 19, 2018
CompletedStudy Start
First participant enrolled
March 13, 2019
CompletedPrimary Completion
Last participant's last visit for primary outcome
April 29, 2019
CompletedStudy Completion
Last participant's last visit for all outcomes
April 30, 2019
CompletedResults Posted
Study results publicly available
July 2, 2020
CompletedJuly 2, 2020
June 1, 2020
2 months
September 5, 2018
May 28, 2020
June 15, 2020
Conditions
Outcome Measures
Primary Outcomes (2)
QT Interval (Corrected) Baseline Visit
To examine the extent that OSA severity from overnight polysomnograph is associated with corrected QT interval (QTc) from daytime 12-lead ECG. The 24 hour continuous ECG is not available.
The 12-lead ECG will be collected in the morning and the overnight polysomnography will be the duration of their sleep for the night.
QT Interval (Corrected) Follow up Visit
To examine the extent that OSA severity from overnight polysomnograph is associated with corrected QT interval (QTc) from daytime 12-lead ECG. The 24 hour continuous ECG is not available.
The 12-lead ECG will be collected in the morning and the overnight polysomnography will be the duration of their sleep for the night. This will be collected at their follow up visit after wearing CPAP for 2-3 months.
Secondary Outcomes (1)
Effect of OSA Treatment on QTc
After wearing CPAP for approximately 2-3 month the 12-lead ECG will be collected in the morning and the overnight polysomnography will be the duration of their sleep for the night.
Study Arms (1)
Sleep Apnea ahi > 5
OTHERIf Sleep Apnea index is \> 5 and diagnosed with Long QT Syndrome
Interventions
If diagnosed with Long QT Syndrome and have Sleep Apnea index \>5 pauses per hour then given CPAP to wear for approximately 3 months.
Eligibility Criteria
You may qualify if:
- Clinical diagnosis of QT prolongation as described above
- Age 18-75 years
- Individuals able to participate in at least 2 overnight sleep and hysiologic assessments over a 3 month period.
You may not qualify if:
- Use of specific OSA treatments (CPAP, oral appliances)
- Use of supplemental oxygen
- Severe chronic insomnia
- Circadian rhythm disorder (e.g. shift work sleep disorder, delayed or advanced sleep phase syndrome)
- Insufficient sleep syndrome defined by reported sleep duration \< 4 hours
- Unstable medical conditions (e.g., new onset or changing angina, a myocardial infarction or congestive heart failure exacerbation documented within the previous 3 months, uncontrolled hypertension (BP\>170/110), uncontrolled diabetes mellitus (HbA1c\>9.0), uncontrolled hypo- or hyperthyroidism)
- Psychiatric disorders which are inadequately treated
- Compromised competence
- Alcohol abuse (currently drinks \>5 alcoholic drinks/day)
- Inability to provide informed consent
- Illicit drug use over last 6 months.
- Rationale for criteria:
- Patients with sleep disorders will be excluded as other sleep disorders may influence arrhythmogenesis.
- Those on treatment for SDB will be excluded because treatment would preclude assessment of OSA pathophysiologic effects on QT biomarkers.
- Those with unstable medical conditions or rapid or uncontrolled heart rate will be excluded due to safety reasons.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- The Cleveland Cliniclead
- MetroHealth Medical Centercollaborator
Study Sites (1)
Cleveland Clinic
Cleveland, Ohio, 44195, United States
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Limitations and Caveats
Due to factors beyond the investigators including delays in contracts within the one year scope of funding, the positive airway pressure intervention for this study could not be conducted.
Results Point of Contact
- Title
- Dr. Reena Mehra
- Organization
- Cleveland Clinic
Study Officials
- PRINCIPAL INVESTIGATOR
Reena Mehra, MD
The Cleveland Clinic
Publication Agreements
- PI is Sponsor Employee
- No
- Restrictive Agreement
- No
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- TREATMENT
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Director, Sleep Disorders Research, Neurologic Institute
Study Record Dates
First Submitted
September 5, 2018
First Posted
September 19, 2018
Study Start
March 13, 2019
Primary Completion
April 29, 2019
Study Completion
April 30, 2019
Last Updated
July 2, 2020
Results First Posted
July 2, 2020
Record last verified: 2020-06
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL
- Time Frame
- When the study is complete.
We plan to make available de-identified, non-sensitive, individual-level information on objective sleep characteristics, subjective sleep health and medical history (e.g. comorbid factors and medication use) and sociodemographics (e.g., age, gender education level). We will submit the data generated from the current proposal to the NIH funded National Sleep Research Resource (NSRR). The National Sleep Research Resource (NSRR) offers free web access to large collections of de-identified physiological signals and clinical data elements collected in well-characterized research cohorts and clinical trials. The NSRR is a public resource which provides opportunities for investigators to address critical scientific questions of interest.