Protocol of the SOMNIA project: an observational study to create a neurophysiological database for advanced clinical sleep monitoring

Clinical Guidelines for the Use of Unattended Portable Monitors in the Diagnosis of Obstructive Sleep Apnea in Adult Patients

Respiratory-related leg movements (RRLMs) may contribute to the cardiovascular risk associated with obstructive sleep apnea (OSA). Selective serotonin reuptake inhibitors (SSRIs), but not bupropion, increase periodic leg movements in sleep. This study examines whether patients with OSA using SSRIs have more RRLMs than those taking bupropion or no antidepressant. Patients with an apnea-hypopnea index (AHI) of at least 10 events/h during a full-night diagnostic study or split-night study, who were taking bupropion (n = 32), an SSRI (n = 31), or no antidepressant (n = 31), were selected from a database of prestudy questionnaires. RRLMs were scored according to World Association of Sleep Medicine 2016 standards. Patients using SSRIs had significantly greater overall RRLM% (defined as the percentage of respiratory events associated with a leg movement, including apneas, hypopneas, and respiratory effort-related arousals), RRLM index, and periodic limb movement index relative to patients using bupropion and control patients. The difference between the RRLM% in the SSRI and bupropion groups was limited to patients undergoing split-night studies, and that of the SSRI and control groups was limited to patients undergoing full-night diagnostic studies. The greater number of RRLMs and PLMs in the SSRI group may contribute to treatment-emergent insomnia often seen with SSRI use. Fragmented sleep and elevated autonomic nervous system activation associated with increased RRLMs in patients with OSA taking SSRIs might also limit the tolerability of antidepressant treatment, as well as increase the risk for cardiovascular disease.

Comfortable and reliable wearable systems for home-based automatic sleep staging are crucial for remotely diagnosing sleep disorders. Among various categories of biosignals, electrooculography (EOG) has emerged as a promising modality due to its ease of acquisition and robustness to noise. However, research on EOG-based sleep staging remains limited, with most studies constrained to the standard 2-channel EOG configuration recommended by the American Academy of Sleep Medicine (AASM) scoring manual. Thus, it may lack higher spatial information, hindering fully capturing the tiny sleep-related eye movements. In this study, we developed a novel eye mask-based EOG acquisition system capable of collecting 14-channel spatially diverse EOG signals. Building upon this hardware innovation, we further proposed a dedicated deep learning model, MTNet, combining multi-scale feature extraction and temporal attention, to fully exploit the rich information from the collected EOG data for accurate sleep staging , which is capable of effectively capturing relevant sleep features from EOG signals. We also evaluated the importance of each EOG channel for sleep staging, providing recommendations for EOG-based data acquisition in-home sleep monitoring systems. Our study involved 24 participants, resulting in 48 overnight sleep recordings. In K-fold cross-validation, 14-channel EOG achieved an average accuracy of 83.2%, a Cohen’s kappa coefficient of 0.77, and an MF1 score of 77.7%. These results surpass the performance of the standard EOG, which yielded an accuracy of 82.3%, a Cohen’s kappa coefficient of 0.76, and an MF1 score of 76.1%. In particular, the 14-channel EOG demonstrated superior detection accuracy in the N1 and REM sleep stages compared to the standard setup. In conclusion, the proposed 14-channel EOG collection system—formed as a wearable eye mask—shows significant potential as a high-dimensional biosignal source for home-based sleep monitoring. By combining 14-channel EOG acquisition with the MTNet model, and investigating the importance of channels, this study marks a substantial step forward in an accurate and user-friendly sleep monitoring solution.

The recognition and growth of sleep medicine as a clinical specialty is manifested by the inclusion of sleep disorders in disease classification systems from the 1970s. The task of developing a classification system for sleep disorders has been undertaken by three organizations, namely, the World Health Organization (WHO), the American Psychiatric Association (APA) and associations and societies involved in sleep medicine as a clinical discipline, most recently the American Academy of Sleep Medicine (AASM). Three different classification systems have evolved: first, with sleep disorders being added to a general coding system, the International Classification of Diseases (ICD)(World Health Organization 1977, 1994, 2011); second, designed for use by mental health professionals, the Diagnostic and Statistical Manual of Mental Disorders (DSM)(American Psychiatric Association 1994, 2013); and third, developed by and for specialists in sleep medicine, the International Classification of Sleep Disorders (ICSD)(Association of Sleep Disorders Centers 1979, 1990, 1997; American Academy of Sleep Medicine 2005, 2014). A summary of the development of these three nosologies from the 1970s to the present is summarized in Table 2.1. In examining their development, it is important to recognize how the classification systems should, and do, evolve in response to other classification systems, as well as advances in scientific knowledge and clinical experience.

The American Academy of Sleep Medicine and Sleep Research Society recently released a Consensus Statement regarding the recommended amount of sleep to promote optimal health in adults. This paper describes the methodology, background literature, voting process, and voting results for the consensus statement. In addition, we address important assumptions and challenges encountered during the consensus process. Finally, we outline future directions that will advance our understanding of sleep need and place sleep duration in the broader context of sleep health.

A discussion of sleep

S1-2 The clinical and polysomnographic features relevance of idiopathic REM sleep behavior disorders

This paper focuses on the sleep disorders in patients with spinal cord injury (SCI/D), particularly mechanism of sleep disordered breathing (SDB) and challenges in diagnosis and management. Based on a review of recent literatures and studies the paper summarizes some main challenges with respect to management of SDB in patients with SCI; and what are the responsible mechanisms of disease? What are the barriers in diagnosing and treating SDB using standard treatment such as positive airway pressure (CPAP)?. Previous studies have shown that most SCI/D patients have SDB with heterogeneity in prevalence mainly related to using different definition or methods of diagnosing SDB, while recent studies using new definition of SDB based on recommended criteria from the American Academy of Sleep Medicine (AASM) and also include the data on effect of SCI/D level on prevalence and describe different type of SDB. Furthermore, recent data describes simplified method of diagnosing SDB by using a combination of home sleep apnea testing and transcutaneous CO2 monitoring. Finally, emerging data has been pointing at strong relationship between SDB and cardiovascular disease including nocturnal hypertension in patients with SCI/D. The findings indicate that early testing for SDB and associated cardiovascular disease in patients with SCI is recommended and could be beneficial in reduced the high morbidity and mortality in this group of patients with disability. In addition, studies on treatment of other sleep disorders in SCI/D are not available to inform clinical decision making. Understanding the pathophysiology of sleep disorders in SCI/D is critical for the development of new effective therapies. This review provides evidence for best practices; highlights new discoveries for the diagnosis and management of sleep disorders in SCI/D, and discuss challenges and future directions.

Preface

To assess the impact of the American Academy of Sleep Medicine (AASM) 2012Rec criteria on the surgical success rate and polysomnography (PSG) parameters of patients with obstructive sleep apnea (OSA). A prospective clinical trial. A total of 60 patients who performed surgery for treatment of OSA at the sleep breathing disorder center of a tertiary referral university hospital from October 1, 2015, to September 30, 2016, were enrolled. Preoperative and postoperative PSG were performed and scored using AASM 2007Rec and AASM 2012Rec . Surgical success was determined by criteria 1 (postoperative Apnea-Hypopnea Index [AHI] <20% and 50% reduction) and criteria 2 (postoperative AHI <10), and surgical success rates according to AASM 2007Rec and AASM 2012Rec were compared. PSG parameters including AHI, hypopnea index, respiratory effort-related arousals, respiratory disturbance index, and supine AHI scored significantly higher with AASM 2012Rec compared to AASM 2007Rec criteria, both preoperatively and postoperatively (all P < 0.05). Furthermore, when compared to the AASM 2007Rec criteria, AASM 2012Rec resulted in increased proportion of patients with severe OSA (70.0% vs. 95.0%; P < 0.001). For the surgical outcomes, AASM 2012Rec showed significantly lower surgical success rate both in criteria 1 (51.7% vs. 38.3%) and criteria 2 (35.0% vs. 18.3%) compared to the AASM 2007Rec , respectively (P < 0 .05). This study demonstrated that AASM 2012Rec tends to decrease the success rate of surgical outcome for OSA patients, suggesting that defining success of surgical treatment for OSA could be changed dramatically according to the hypopnea scoring criteria. 4 Laryngoscope, 130:825-831, 2020.

One of the goals of the American Academy of Sleep Medicine (AASM) is to provide clear, evidence-based recommendations in our clinical practice guidelines. Periodically, the AASM will assess and update the process by which these guidelines are developed so that it is in line with the standards currently being used for guideline development. The AASM is now taking the next step forward by fully adopting GRADE (Grading of Recommendation Assessment, Development and Evaluation) as the methodology used for evaluating evidence and forming clinical practice guidelines recommendations. Starting this year, AASM recommendations will be based on the following four interdependent domains: 1. quality of evidence; 2. balance of desirable and undesirable consequences; 3. patients' values and preferences; and 4. resource use (when known). AASM strengths of recommendations will be dichotomized into two categories: "Strong" and "Weak," either for or against a patient-care strategy. In an effort to provide clarity and transparency, all AASM recommendations will be actionable statements that include the specific patient population for which the patient-care strategy is recommended, and clearly define the comparator against which the patient-care strategy was evaluated. In some recommendations, the comparator will be an alternative patient-care strategy (e.g., a "gold standard" or previously available alternative), while in other recommendations the comparator will be a placebo or no treatment; this is determined by the availability of evidence, and analyses decisions made by the AASM task force. Implementation of the complete GRADE criteria by the AASM allows us the best path forward towards continuing to provide high quality clinical practice guidelines.

Teleworking during a pandemic: perspective of an idiopathic hypersomnia patient.

The purpose of this systematic review is to provide supporting evidence for a clinical practice guideline on the use of actigraphy. The American Academy of Sleep Medicine commissioned a task force of experts in sleep medicine. A systematic review was conducted to identify studies that compared the use of actigraphy, sleep logs, and/or polysomnography. Statistical analyses were performed to determine the clinical significance of using actigraphy as an objective measure of sleep and circadian parameters. Finally, the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) process was used to assess the evidence for making recommendations. The literature search resulted in 81 studies that met inclusion criteria; all 81 studies provided data suitable for statistical analyses. These data demonstrate that actigraphy provides consistent objective data that is often unique from patient-reported sleep logs for some sleep parameters in adult and pediatric patients with suspected or diagnosed insomnia, circadian rhythm sleep-wake disorders, sleep-disordered breathing, central disorders of hypersomnolence, and adults with insufficient sleep syndrome. These data also demonstrate that actigraphy is not a reliable measure of periodic limb movements in adult and pediatric patients. The task force provided a detailed summary of the evidence along with the quality of evidence, the balance of benefits and harms, patient values and preferences, and resource use considerations.

Committed to equity: New collection aims to understand disparities in sleep research.

There are limited data on indications and outcomes of home continuous positive airway pressure (CPAP) therapy in the first year of life. We aimed to analyze the clinical, demographic, and polysomnographic characteristics of a cohort of children initiated on home CPAP for treatment of sleep-disordered breathing and as respiratory support in the first year of life. Children started on CPAP in the first year of life at the Queensland Children's Hospital were retrospectively evaluated for clinical and demographic parameters, underlying diagnoses, respiratory support, airway surgical intervention, and polysomnography results at baseline and on CPAP. Twenty-nine infants (median age [interquartile range] at CPAP initiation, 182 days [126-265.5 days]) were included. The underlying etiology included Trisomy 21 (n = 6), craniofacial syndromes (n = 5), hypotonia (n = 8; 5 with noncraniofacial syndrome), airway malacia (n = 5), skeletal dysplasia (n = 2), nonsyndromic upper airway obstruction (n = 2), and chronic neonatal lung disease (n = 1). The median (interquartile range) obstructive apnea-hypopnea index was 14 events/h (6.2-31 events/h) at CPAP initiation, which improved on CPAP to 3.4 events/h (1.4-6.4 events/h). The median (interquartile range) transcutaneous CO2 max remained unchanged on CPAP (56.6 mm Hg [49-66.5 mm Hg] pre-CPAP vs 54.9 mm Hg [47-62 mm Hg] on CPAP). Fifteen children needed surgical airway intervention (11 pre-CPAP and 4 post-CPAP). CPAP therapy could be successfully stopped in 9 children, 2 children needed tracheostomy, and 1 child died during the follow-up period. Home CPAP as respiratory support is an effective long-term therapy in infancy, and these patients can be weaned from CPAP therapy even if it was initiated early. Prospective studies with predefined criteria for CPAP initiation and cessation would help ascertain long-term outcomes in this poorly researched group. Joshi SS, Sivapalan D, Leclerc M-J, Kapur N. Home continuous positive airway pressure therapy in infants: a single-center experience. J Clin Sleep Med. 2023;19(3):473-477.