Prevalence of Sleep Apnea and Atrial Fibrillation

June 3, 2022 updated by: Sogol Javaheri, Brigham and Women's Hospital

Prevalence of Sleep Apnea Among Consecutive Patients With Atrial Fibrillation.

The investigators will screen consecutive patients presenting to the atrial fibrillation clinic for sleep apnea using a FDA-approved home sleep testing device, WatchPAT to determine prevalence of sleep apnea in a clinic-based sample.

Study Overview

Status

Recruiting

Intervention / Treatment

Detailed Description

The investigators will determine the prevalence of sleep apnea among consecutive patients with atrial fibrillation (AF) regardless of symptoms and determine the predictive value of screening tools for sleep apnea in this population. The primary outcome will be the prevalence of sleep apnea among all-comers with AF. Three secondary outcomes will be evaluated in the study. Investigators will determine the efficiency and time-to-diagnosis of sleep apnea using a FDA approved home sleep testing device (i.e. WatchPAT). These analyses will be compared to published studies performed using a traditional home sleep study test (which historically takes approximately 8-10 weeks). There will be no collection of data from a non-intervention group in our study. Second, investigtaors will calculate the predictive value of traditional clinical screening tools in an AF population using the STOP-BANG questionnaire and Epworth Sleepiness Scale. Third, investigators will identify potential risk factors for AF in patients with sleep apnea using a logistic regression model.

Study Type

Observational

Enrollment (Anticipated)

300

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

    • Massachusetts
      • Boston, Massachusetts, United States, 02215
        • Recruiting
        • Brigham and Women's Hospital
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (ADULT, OLDER_ADULT)

Accepts Healthy Volunteers

N/A

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Patients who are referred to the Atrial Fibrillation Center of Excellence by their primary care provider or primary cardiologist will be screened by eligibility by study staff during their first clinic visit (in-person or virtually).

Description

Inclusion Criteria:

  • Diagnosis of AF confirmed on any electrocardiographic recording
  • Age greater than or equal to 18
  • Ability to read and understand consent form, complete questionnaires, and provide informed consent

Exclusion Criteria:

  • Prior diagnosis of sleep disordered breathing or negative testing within the past 2 years without significant change in weight or clinical symptoms of sleep apnea
  • History of Raynaud

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Prevalence of sleep apnea
Time Frame: 2 year study
Prevalence of sleep apnea among patients with atrial fibrillation
2 year study

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Time to diagnosis
Time Frame: 2 years
We will determine the efficiency and time-to-diagnosis of sleep apnea using a FDA approved home sleep testing device (i.e. WatchPAT)
2 years
Predictive value of typical screening tools
Time Frame: 2 years
We calculate the predictive value of traditional clinical screening tools in an AF population using the STOP-BANG questionnaire and Epworth Sleepiness Scale
2 years
Quality of life
Time Frame: 2 years
We will compare quality of life using the MAFSI in atrial fibrillation patients with and without sleep apnea.
2 years
Risk factors
Time Frame: 2 years
We will identify potential risk factors for AF in patients with sleep apnea using a logistic regression model
2 years

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
Autonomic index
Time Frame: 2 years
Compare autonomic index in patients with AF who have sleep apnea versus those without sleep apnea
2 years
Insomnia Severity Index
Time Frame: 2 years
Assess prevalence of insomnia among consecutive patients with atrial fibrillation
2 years

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (ACTUAL)

February 1, 2022

Primary Completion (ANTICIPATED)

December 31, 2023

Study Completion (ANTICIPATED)

December 31, 2023

Study Registration Dates

First Submitted

December 1, 2021

First Submitted That Met QC Criteria

December 1, 2021

First Posted (ACTUAL)

December 14, 2021

Study Record Updates

Last Update Posted (ACTUAL)

June 7, 2022

Last Update Submitted That Met QC Criteria

June 3, 2022

Last Verified

June 1, 2022

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

Yes

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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