Sleep Number Unveils New Research Linking Sleep Abnormalities with Risk of Heart Failure

Today, Sleep Number Corporation (Nasdaq: SNBR), a wellness technology leader, announced new research presented at the Heart Failure Society of America (HFSA) Annual Scientific Meeting in Cleveland. Data presented show results of a study in collaboration with investigators at Mayo Clinic analyzing the connection between sleep abnormalities and heart failure with preserved ejection fraction (HFpEF), the most common cause of heart failure. The study, titled "Sleep Abnormalities Among Community Participants at Risk for Heart Failure," leveraged longitudinal sleep data from Sleep Number smart beds with Mayo Clinic’s AI capabilities and clinical expertise.

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Today, Sleep Number Corporation announced new research presented at the Heart Failure Society of America Annual Scientific Meeting in Cleveland. Data presented show results of a study in collaboration with investigators at Mayo Clinic analyzing the connection between sleep abnormalities and heart failure with preserved ejection fraction (HFpEF), the most common cause of heart failure. (Graphic: Business Wire)

In recent years, the prevalence of heart failure has increased, which is linked to a rise in HFpEF. This is a common but life-threatening syndrome in which the heart does not adequately relax between each heartbeat, so the pressure inside the heart rises. Diagnosing HFpEF can be challenging, since a physician can’t detect it based on symptoms alone. Existing diagnostic criteria are obtrusive, requiring the use of tests such as cardiac catheterization or an echocardiogram, often during exercise. As a result, the prevalence of HFpEF is severely underreported.

It is also true that sleep disorders such as insomnia and sleep apnea are associated with metabolic health and heart failure. To estimate the probability of HFpEF and understand the link between HFpEF and sleep quality, Mayo Clinic researchers developed an HFpEF probability model based on age and BMI. They then validated this model using exercise right heart catheterization, which helps physicians understand how well the heart is working when one is active or exercising. Researchers then collaborated with Sleep Number Corporation to analyze a month’s worth of de-identified sleep data from 91,954 Sleep Number smart bed sleepers and self-reported sleep survey data submitted by 5,861 of those smart bed sleepers. Results will show the relation between HFpEF and sleep in a real-world, home environment.