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Uncontrolled hypertension is associated with an increased risk of heart disease, stroke, and mortality. Obstructive sleep apnea (OSA) is common in hypertension and treatment using continuous positive airway pressure (CPAP) has been shown to effectively lower blood pressure. Despite its clinical significance, OSA remains underdiagnosed in patients with hypertension, because the current standard of care to diagnose OSA is in-laboratory polysomnography, which is inconvenient and often inaccessible for high-risk populations. An alternative to in-laboratory polysomnography is home sleep apnea testing, which has been validated against in-laboratory polysomnography and may be more convenient, accessible, and potentially cost-effective. The objective of this study is to compare home sleep apnea testing to in-laboratory polysomnography in a randomized controlled trial. The investigators will assess whether the use of home sleep apnea testing, compared to use of in-laboratory polysomnography, leads to higher rates of OSA diagnosis and treatment using CPAP, a reduction in blood pressure, improved sleep-related outcomes, and greater patient satisfaction among patients with hypertension at 6 months. The investigators will also assess whether home testing is cost-effective.
Age
18 - No limit years
Sex
ALL
Healthy Volunteers
No
Sunnybrook Health Sciences Centre
Toronto, Ontario, Canada
Women's College Hospital
Toronto, Ontario, Canada
Citrus Medical Clinic
Toronto, Ontario, Canada
Start Date
November 13, 2023
Primary Completion Date
December 1, 2025
Completion Date
May 1, 2026
Last Updated
February 11, 2025
190
ESTIMATED participants
Home Sleep Apnea Test
DEVICE
In-laboratory polysomnography
DEVICE
Lead Sponsor
Sunnybrook Health Sciences Centre
Collaborators
NCT06430957
NCT02417740
Data Source & Attribution
This clinical trial information is sourced from ClinicalTrials.gov, a service of the U.S. National Institutes of Health.
Modifications: This data has been reformatted for display purposes. Eligibility criteria have been parsed into inclusion/exclusion sections. Location data has been geocoded to enable distance-based search. For the authoritative and most current information, please visit ClinicalTrials.gov.
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