AF is a chronic, progressive, and debilitating cardiovascular disease that exacerbates other cardiovascular diseases and is a leading cause of morbidity (associated illness) and mortality (death). In addition, AF is the most common cardiac arrhythmia that leads to more hospitalizations than any other arrhythmia. Sleep disorders are also associated with a threefold increased mortality and literature suggests a doubled risk for stroke in people with OSA. Identification of OSA and treatment with CPAP is associated with a reduction in the stroke risk for OSA. Thus, early identification and treatment of AF and OSA may be of major societal benefit in reducing mortality and morbidity.
The Rhythm Express Wearable System consists of the RX-1 mini Cardiac Monitor, a Nonin or Viatom Pulse Oximeter, and an Android Cell Phone with the Rhythm Express Oximetry Application. The RS-1 Sleep Algorithm is a cloud-based software as a medical device (SWMD) that receives inputs from the two FDA-cleared wearable devices. The Algorithm, together with the two wearable devices, comprises the Rhythm Express Wearable System.
This multi-center, prospective, observational, confirmatory study is designed to compare sleep apnea severity classification provided by the RS-1 Sleep Algorithm with Polysomnography (PSG). The proposed research will confirm the accuracy of using the Rhythm Express Wearable System to detect apnea/hypopnea index of at least 5/15/30 in patients with observed or suspected atrial fibrillation by comparing it to data recorded in a PSG, which is considered to be the gold standard for sleep testing. In addition, the ability of the RX-1 mini to detect sleep and assess posture and respiratory rate during sleep will be evaluated.
This initiative represents a significant step towards simplifying the screening process for sleep disorders in people indicated for ambulatory cardiac monitoring.