Background: Commercial wearables such as Fitbit quantify sleep metrics using fixed calendar times as default measurement periods, which may not adequately account for individual variations in sleep patterns. To address this limitation, experts in sleep medicine and wearable technology developed a user-centric algorithm designed to more accurately reflect actual sleep behaviors and improve the validity of wearable-derived sleep metrics.
Objective: This study aims to describe the development of a new user-centric algorithm, compare its performance with the default calendar-relative algorithm, and provide a practical guide for analyzing All of Us Fitbit sleep data on a cloud-based platform.
Study Objectives: Measurement tools for sleep inertia, a common and important idiopathic hypersomnia symptom, are limited. For individuals with idiopathic hypersomnia, this post hoc analysis proposes a minimal clinically important difference (MCID) for the Sleep Inertia Visual Analog Scale (SI-VAS), which assesses difficulty waking up.
Methods: Data from the pivotal phase 3, double-blind, placebo-controlled, randomized withdrawal study (NCT03533114) of low-sodium oxybate in adults with idiopathic hypersomnia were used to estimate an SI-VAS MCID anchored to the Patient Global Impression of Change, Idiopathic Hypersomnia Severity Scale, and Functional Outcomes of Sleep Questionnaire.
Study Objectives: We sought to elucidate hypotheses for the pathophysiology of idiopathic hypersomnia and discuss the mechanisms by which low-sodium oxybate (LXB) improves idiopathic hypersomnia symptoms.
Methods: Published literature on idiopathic hypersomnia sleep abnormalities, symptoms, treatments, and underlying pathophysiology was reviewed.
Results: Patients with idiopathic hypersomnia often show sleep architecture alterations, such as increased sleep efficiency and reduced slow-wave sleep, although the literature lacks consensus.
Circadian rhythms are governed by a biological clock, and are known to occur in a variety of physiological processes. We report results on the circadian rhythm of heart rate observed using a wrist-worn wearable device (Fitbit), consisting of over 17,000 individuals over the course of 30 days. We obtain an underlying heart rate circadian rhythm from the time series heart rate by modeling the circadian rhythm as a sum over the first two Fourier harmonics.
View Article and Find Full Text PDFPoor sleep health is associated with increased all-cause mortality and incidence of many chronic conditions. Previous studies have relied on cross-sectional and self-reported survey data or polysomnograms, which have limitations with respect to data granularity, sample size and longitudinal information. Here, using objectively measured, longitudinal sleep data from commercial wearable devices linked to electronic health record data from the All of Us Research Program, we show that sleep patterns, including sleep stages, duration and regularity, are associated with chronic disease incidence.
View Article and Find Full Text PDFPurpose: Idiopathic hypersomnia is a debilitating neurologic sleep disorder characterized by excessive daytime sleepiness, sleep inertia, and prolonged sleep. Its impact on patients' quality of life and daily functioning has not been fully elucidated. The Real World Idiopathic Hypersomnia Outcomes Study (ARISE) evaluated the daily functioning, relationships, cognition, emotional well-being, and productivity/employment of participants with idiopathic hypersomnia.
View Article and Find Full Text PDFObjective: Idiopathic hypersomnia is a debilitating sleep disorder characterized by excessive daytime sleepiness, sleep inertia, and prolonged sleep duration. The patient burden of idiopathic hypersomnia is poorly understood. The Real World Idiopathic Hypersomnia Outcomes Study (ARISE) evaluated symptoms and treatment effectiveness/satisfaction in participants with idiopathic hypersomnia.
View Article and Find Full Text PDFSleep duration, sleep deprivation and the sleep-wake cycle are thought to play an important role in the generation of epileptic activity and may also influence seizure risk. Hence, people diagnosed with epilepsy are commonly asked to maintain consistent sleep routines. However, emerging evidence paints a more nuanced picture of the relationship between seizures and sleep, with bidirectional effects between changes in sleep and seizure risk in addition to modulation by sleep stages and transitions between stages.
View Article and Find Full Text PDFObstructive sleep apnea (OSA), a disease associated with excessive sleepiness and increased cardiovascular risk, affects an estimated 1 billion people worldwide. The present study examined proteomic biomarkers indicative of presence, severity, and treatment response in OSA. Participants (n = 1391) of the Stanford Technology Analytics and Genomics in Sleep study had blood collected and completed an overnight polysomnography for scoring the apnea−hypopnea index (AHI).
View Article and Find Full Text PDFStudy Objectives: Periodic limb movement in sleep is a common sleep phenotype characterized by repetitive leg movements that occur during or before sleep. We conducted a genome-wide association study (GWAS) of periodic limb movements in sleep (PLMS) using a joint analysis (i.e.
View Article and Find Full Text PDFStudy Objectives: Subjective insomnia complaints and objective sleep changes are mostly studied outside of clinical trial studies. In this study, we tested whether 240 genetic variants associated with subjectively reported insomnia were also associated with objective insomnia parameters extracted from polysomnographic recordings in three studies.
Methods: The study sample (total n = 2,770) was composed of the Wisconsin Sleep Cohort (n = 1,091) and the Osteoporotic Fractures in Men (n = 1,026) study, two population-based studies, and the Stanford Sleep Cohort, a sleep center patient-based sample (n = 653).
In recognition of the mixed associations between traditionally scored slow wave sleep and memory, we sought to explore the relationships between slow wave sleep, electroencephalographic (EEG) power spectra during sleep and overnight verbal memory retention in older adults. Participants were 101 adults without dementia (52% female, mean age 70.3 years).
View Article and Find Full Text PDFWith social distancing and uncertainty about the complete re-opening of laboratories and campuses, there is a pressing need for a more flexible educational experience. Seizing this opportunity to integrate active learning into adaptive curricula can fast-forward neuroscience education at every level.
View Article and Find Full Text PDFFront Psychiatry
April 2020
Over the past few decades, medical education has seen increased interest in the use of active learning formats to engage learners and promote knowledge application over knowledge acquisition. The field of psychiatry, in particular, has pioneered a host of novel active learning paradigms. These have contributed to our understanding of the role of andragogy along the continuum of medical education, from undergraduate to continuing medical education.
View Article and Find Full Text PDFIn recent years, sleep-disordered breathing (SDB) has been recognized as a prevalent but under-diagnosed condition in adults and has prompted the need for new and better diagnostic and therapeutic options. To facilitate the development and availability of innovative, safe and effective SDB medical device technologies for patients in the United States, the US Food and Drug Administration collaborated with six SDB-related professional societies and a consumer advocacy organization to convene a public workshop focused on clinical investigations of SDB devices. Sleep medicine experts discussed appropriate definitions of terms used in the diagnosis and treatment of SDB, the use of home sleep testing versus polysomnography, clinical trial design issues in studying SDB devices, and current and future trends in digital health technologies for diagnosis and monitoring SDB.
View Article and Find Full Text PDFBackground: Existing literature on factors associated with supportive care service (SCS) use is limited. A better understanding of these factors could help tailor SCS to the needs of frequent users, as well as facilitate targeted outreach to populations that underutilize available services.
Objective: To investigate the prevalence of SCS use and to identify factors associated with, and barriers to, service use.
Nowadays, the "flipped classroom" approach is taking the center stage within medical education. However, very few reports on the implementation of the flipped classroom in neurology have been published to date, and this educational model still represents a challenge for students and educators alike. In this article, neurology educators from the American Academy of Neurology's A.
View Article and Find Full Text PDFHow to most effectively deliver a large amount of information in an engaging environment that encourages critical thinking is a question that has long plagued educators. With ever-increasing demands on both resident and faculty time, from shrinking duty hours to increased patient complexity, combined with the exponential growth of medical knowledge and unequal access to the spectrum of neurologic subspecialties around the country, this question has become especially pertinent to neurology residency training. A team of educators from the American Academy of Neurology's A.
View Article and Find Full Text PDFObjective: Given the known association of daylight saving time (DST) transitions with increased risk of accidents, heart attack, and stroke, we aimed to determine whether seizures, which are reportedly influenced by sleep and circadian disruption, also increased in frequency following the transition into DST.
Methods: Using Seizure Tracker's self-reported data from 12 401 individuals from 2008-2016, 932 717 seizures were assessed for changes in incidence in relation to DST transitions. Two methods of standardization-z scores and unit-scaled rate ratios (RRs)-were used to compare seizure propensities following DST transitions to other time periods.
Objective: Obstructive sleep-disordered breathing (SDB) events, unlike central events, are associated with increased respiratory effort. Esophageal pressure (P ) monitoring is the gold standard for measuring respiratory effort, but it is typically poorly tolerated because of its invasive nature. The objective was to investigate whether machine learning can be applied to routinely collected non-invasive, polysomnography (PSG) measures to accurately model peak negative P .
View Article and Find Full Text PDFNeurologic disorders are among the most frequent causes of morbidity and mortality in the United States. Moreover, the current shortfall of neurologists is expected to worsen over the coming decade. As a consequence, many patients with neurologic disorders will be treated by physicians and primary care providers without formal neurologic training.
View Article and Find Full Text PDFClin Neurophysiol
November 2018
Objectives: Periodic limb movements in sleep (PLMS) are thought to be prevalent in elderly populations, but their impact on quality of life remains unclear. We examined the prevalence of PLMS, impact of age on prevalence, and association between PLMS and sleepiness.
Methods: We identified limb movements in 2335 Wisconsin Sleep Cohort polysomnograms collected over 12 years.
Study Objectives: The current definition of sleep arousals neglects to address the diversity of arousals and their systemic cohesion. Autonomic arousals (AA) are autonomic activations often associated with cortical arousals (CA), but they may also occur in relation to a respiratory event, a leg movement event or spontaneously, without any other physiological associations. AA should be acknowledged as essential events to understand and explore the systemic implications of arousals.
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