Continuum Audio

Sleep Diagnostics and Monitoring Technology in Obstructive Sleep Apnea With Dr. Joyce K. Lee-Iannotti

Continuum Audio

Show Notes

Advances in sleep technology are transforming how neurologists identify and manage obstructive sleep apnea, a condition that affects up to 70% of patients with certain neurologic disorders and can negatively impact cognitive and neurologic outcomes if left untreated. In this episode, Dr. Joyce Lee-Iannotti discusses the growing role of wearable and nearable sleep-monitoring devices, when home sleep studies are appropriate, and how emerging technologies are expanding access to diagnosis and treatment. Learn practical strategies for screening patients, interpreting sleep data, and partnering with sleep specialists to improve long-term neurologic health through better sleep. In this episode, Casey S. Albin, MD, FAAN, speaks with Joyce K. Lee-Iannotti, MD, FAAN, FAASM, author of the article "Sleep Diagnostics and Monitoring Technology in Obstructive Sleep Apnea" in the Continuum® August 2026 Sleep Neurology issue. Dr. Albin is a Continuum® Audio interviewer, associate editor of media engagement, and an assistant professor of neurology and neurosurgery at Emory University School of Medicine in Atlanta, Georgia. Dr. Lee-Iannotti is a Professor of Neurology at the Barrow Neurological Institute, University of Arizona College of Medicine, and Creighton School of Medicine in Phoenix, Arizona. Additional Resources Read the article: Sleep Diagnostics and Monitoring Technology in Obstructive Sleep Apnea Subscribe to Continuum®: shop.lww.com/Continuum Earn CME (available only to AAN members): continpub.com/AudioCME Continuum® Aloud (verbatim audio-book style recordings of articles available only to Continuum® subscribers): continpub.com/Aloud More about the American Academy of Neurology: aan.com Social Media facebook.com/continuumcme @ContinuumAAN Host: @caseyalbin Guest: @jleeiannotti Full episode transcript available here Dr Albin: Through the neurology of sleep issue, I think we have all been convinced that we all need better sleep, both for ourselves and for our patients. And fortunately, there is an abundance of new technology that can enable us to diagnose sleep problems, and then also make sure that our patients are getting the rest that's going to give them the best chance at a good cognitive recovery, and improve their cognitive function even if they are not currently suffering from a neurologic condition. Today, I am so excited to dive deeper into this topic. Dr Jones: This is Dr. Lyell Jones, Editor-in-Chief of Continuum. Thank you for listening to Continuum Audio. Be sure to visit the links in the episode notes for information about earning CME, subscribing to the journal, and exclusive access to interviews not featured on the podcast. Dr Albin: Hello, this is Dr. Casey Albin. Today I'm interviewing Dr. Joyce Lee-Iannotti about her article on sleep diagnostics and monitoring technology in obstructive sleep apnea. This article appears in the August 2026 Continuum issue on neurology of sleep. Welcome to the podcast, I'd love to just start by having you introduce yourself to our audience. Dr Lee-Iannotti: Sure. Thank you so much for having me, Dr. Albin. I'm Joyce Lee-Iannotti. I'm a professor of neurology at Barrow Neurological Institute. I am boarded in general neurology, stroke, and sleep, but I spend most of my time in the sleep world, so I jokingly say that I get more sleep doing sleep than I certainly did in stroke. Dr Albin: Absolutely. I mean, wow, what a fascinating career, and I suspect that we're actually gonna get to some of how all of those pathophysiologies might overlap in the world of sleep. But you had the really exciting task of trying to distill this exciting, rapidly evolving field of sleep diagnostics, and I suspect it's relevant to many of the patients who end up in the neurology clinic, and I suspect that it's actually pretty relevant to many of our listeners who themselves might actually be wearing sleep tracking devices. And all of us probably wonder, well, how can we use that data t

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