"Increased night-to-night variability in the amount of sleep apnea is associated with a 50% to 70% increased likelihood of having uncontrolled hypertension and variable blood pressure," explains Dr. Bastien Lechat, lead author of a pioneering study published in npj Digital Medicine, part of Nature. The research conducted by a team of scientists from Australia and France sought to unveil the connection between nightly fluctuations in sleep apnea severity and the risk of cardiovascular disease (CVD), emphasizing the importance of improving sleep health to manage cardiovascular health more effectively.
As a major sleep disorder, sleep apnea's influence on cardiovascular health is well-established. Neurobit's expertise in sleep conditions, symptom detection, and sleep event labeling aligns with the study's focus. The researchers found that individuals exhibiting higher nightly variations in sleep apnea severity faced an elevated risk of CVD, regardless of their average sleep apnea severity.
The study analyzed polysomnography (PSG) data of 2,224 participants from various cohorts, assessing the severity of sleep apnea and the fluctuations in severity between nights. The results demonstrated a strong association between nightly variations in sleep apnea severity and increased risk of CVD, independent of the average severity of sleep apnea.
These findings underscore the importance of considering nightly variations in sleep apnea severity when evaluating cardiovascular risks. However, traditional sleep testing methods, such as PSG, may not capture the full spectrum of sleep apnea symptom variability since it only measures sleep during a single night in a controlled laboratory environment setting, which can lead to underdiagnosis or misdiagnosis. Home sleep testing could offer a more comprehensive approach to sleep apnea assessment, capturing variability across multiple nights.
Neurobit's suite of innovative products addresses these limitations by facilitating the detection and analysis of sleep apnea fluctuations and prioritizing sleep health:
Neurobit Score: A cutting-edge AI and deep learning cloud-based platform that accurately labels sleep events, empowering clinicians to monitor sleep health and evaluate nightly variations in sleep apnea severity.
Z3 Pulse: A state-of-the-art wearable ECG device that pairs with NeurobitScore to deliver comprehensive sleep reports and personalized guidance for patients, helping them identify and manage nightly fluctuations in sleep apnea symptoms, and make informed decisions regarding their treatment and lifestyle choices.
Neurobit Hub: A versatile research and academia-oriented platform that simplifies the collection and analysis of extensive datasets, promoting the discovery of novel biomarkers and sleep-centric treatment strategies for sleep apnea and cardiovascular disease prevention.
This study accentuates the importance of tracking nightly variations in sleep apnea severity to accurately evaluate cardiovascular risk. Neurobit's advanced technology can help overcome the shortcomings of traditional sleep testing methods, supporting the detection and treatment of sleep apnea fluctuations and contributing to enhanced cardiovascular health outcomes. Moreover, our technology can help reduce the burden on healthcare providers by offering easy-to-use and accurate sleep monitoring solutions for their patients, empowering them to take control of their sleep health.
If you would like to learn more, try our technology, collaborate with us, or support our mission to accelerate the development of innovative technologies for the early detection and treatment of disorders, such as sleep apnea and cardiovascular disease, to improve health for all, please contact us.
Email us at Research@Neurobit.com
Lechat, B., Loffler, K. A., Reynolds, A. C., Naik, G., Vakulin, A., Jennings, G., Escourrou, P., McEvoy, R. D., Adams, R. J., Catcheside, P. G., & Eckert, D. J. (2023). High night-to-night variability in sleep apnea severity is associated with uncontrolled hypertension. Npj Digital Medicine, 6(1), 57. https://doi.org/10.1038/s41746-023-00801-2