Sleep Center Research Articles

SleepWell24, a Smartphone Application to Promote Adherence to Positive Airway Pressure Therapy: Feasibility and Acceptability in a Randomized Controlled Trial

ABSTRACT Objective To investigate the feasibility and acceptability of SleepWell24, a multicomponent, evidence-based smartphone application, to improve positive airway pressure therapy (PAP) adherence, among patients with obstructive sleep apnea (OSA) naive to PAP. Methods In a single-blind randomized controlled trial, SleepWell24, with a companion activity monitor was compared to usual care plus the activity monitor and its associated app. SleepWell24 provides objective feedback on PAP usage and sleep/physical activity patterns, and chronic disease management. Patients were recruited from two sleep medicine centers and followed over the first 60 days of PAP. Feasibility and acceptability were measured by recruitment/retention rates, app usage, differences in post-trial Treatment Evaluation Questionnaire (TEQ) scores, and patient interviews. Exploratory, intent-to-treat logistic and linear mixed models estimated PAP adherence and clinical outcomes. Results Of 103 eligible participants, 87 were enrolled (SleepWell24 n = 40, control n = 47; mean 57.6y [SD = 12.3], 44.8% female). Retention was ≥95% across arms. There were no significant differences in TEQ scores. SleepWell24 participants engaged with the app on 62.9% of trial days. PAP use was high across both arms (SleepWell24 vs. Control: mean hours 5.98 vs. 5.86). There were no differences in PAP adherence or clinical outcomes. Conclusions SleepWell24 was feasible and acceptable among PAP-naive patients with OSA. Clinical Trial Registration NCT03156283https://www.clinicaltrials.gov/study/NCT03156283

Advancing Engagement and Enrollment of Older Black Americans in Alzheimer’s disease and Dementia‐Related Research

AbstractBackgroundThe under‐enrollment of racial and ethnic minorities in clinical trials limits the development of culturally tailored disease treatments and preventative strategies. For example, African Americans experience a greater risk of Alzheimer’s disease (AD), yet they remain woefully underrepresented in AD research. This limits understanding of how AD may operate differently in black populations, who have a higher burden of socio‐structural determinants of health. To improve older black American enrollment, The NYU Healthy Brain Aging and Sleep Center (HBASC) team developed a method tailored toward increasing minority enrollment in clinical trials by collaborating with community‐based organizations and minority populations to reexamine barriers to trial participation.MethodHBASC conducted a single‐site (New York Metropolitan Area) longitudinal study examining sleep and AD in healthy black adults (aged 60‐75). From the study, barriers to trial enrollment were evaluated on a systemic and individual level. The degree to which each level directly or indirectly contributed to barriers to enrollment was further explored using a series of steps and practices seeking to engage underrepresented communities in research. In doing so, team members established and implemented a community‐focused method called FEED. Study personnel demonstrated the feed method by Finding groups, organizations, and trusted community members to collaborate with, Educating community members, Engaging community members through events and educational seminars, and Delivering resources to the community.ResultThrough collaborations with community leaders and organizations, the study team performed community outreach events, raising disease awareness, sustaining trustful relationships, and providing educational resources. The study team saw ∼50% increase in black participant enrollment through the FEED method. Increased engagement in medical research was accomplished when underrepresented communities were empowered with the tools and resources to make knowledgeable decisions.ConclusionDiverse populations of patients face complex and multifaceted barriers to enrollment in clinical trials. A FEED framework will help address these barriers at an individual and systemic level.

Strengthening subject recruitment and retention of the older Black population in Alzheimer’s Disease and related dementias studies through community outreach

AbstractBackgroundRepresentation in dementia research is extremely important in creating effective prevention methods, interventions, and treatments across all populations (Lennon et. al 2022; Barnes 2022). One of the main goals set by the National Institute on Aging (NIA) for the years 2020‐2025, is to disseminate information to several outlets including older adult‐support organizations about research and interventions. The NYU Healthy Brain Aging and Sleep Center (HBASC) has successfully built relationships with community organizations in an effort to contribute to meeting the NIA’s goal using the PEACE method. We evaluated pre‐post subject retention rate, after instigation of PEACE.MethodIn 2019, HBASC began recruitment for a longitudinal study focusing on sleep and Alzheimer’s Disease (AD) in healthy older Blacks (ages 60‐75 years) in the New York Metropolitan Area using community outreach/education as a method of recruitment (i.e. partnering with senior recreation centers, local churches, etc.). Study team members implemented the PEACE method in their outreach efforts. Team members practiced Patience, when accommodating organizations’ needs and requests, Empathy, for the members of the communities they were working in, Appreciation, for the organizations’ aid in reaching the community, Cultural competence, when planning or participating in community events, and prioritized Educating the community, on AD and other related dementias before recruitment.ResultWithin the first year of recruitment, ∼77% vs. ∼23% of subjects were successfully recruited from the community favoring the PEACE method. When the PEACE method was successfully executed, the study team gained the trust of members of the community and retained ∼ 70% of subjects recruited from the community. Older Blacks trusted the HBASC study team because the PEACE method demonstrates dedication to the community. This in turn increases the likelihood of follow‐up response in longitudinal ADRD studies.ConclusionCollaborating directly with community organizations, is an efficient method not only of recruitment, but also retention of older Black subjects in ADRD studies. Collaborations with well‐known trusted community partners can establish a strong relationship between the Black community and research.

Advancing Engagement and Enrollment of Older Black Americans in Alzheimer’s disease and Dementia‐Related Research

AbstractBackgroundThe under‐enrollment of racial and ethnic minorities in clinical trials limits the development of culturally tailored disease treatments and preventative strategies. For example, African Americans experience a greater risk of Alzheimer’s disease (AD), yet they remain woefully underrepresented in AD research. This limits understanding of how AD may operate differently in black populations, who have a higher burden of socio‐structural determinants of health. To improve older black American enrollment, The NYU Healthy Brain Aging and Sleep Center (HBASC) team developed a method tailored toward increasing minority enrollment in clinical trials by collaborating with community‐based organizations and minority populations to reexamine barriers to trial participation.MethodHBASC conducted a single‐site (New York Metropolitan Area) longitudinal study examining sleep and AD in healthy black adults (aged 60‐75). From the study, barriers to trial enrollment were evaluated on a systemic and individual level. The degree to which each level directly or indirectly contributed to barriers to enrollment was further explored using a series of steps and practices seeking to engage underrepresented communities in research. In doing so, team members established and implemented a community‐focused method called FEED. Study personnel demonstrated the feed method by Finding groups, organizations, and trusted community members to collaborate with, Educating community members, Engaging community members through events and educational seminars, and Delivering resources to the community.ResultThrough collaborations with community leaders and organizations, the study team performed community outreach events, raising disease awareness, sustaining trustful relationships, and providing educational resources. The study team saw ∼50% increase in black participant enrollment through the FEED method. Increased engagement in medical research was accomplished when underrepresented communities were empowered with the tools and resources to make knowledgeable decisions.ConclusionDiverse populations of patients face complex and multifaceted barriers to enrollment in clinical trials. A FEED framework will help address these barriers at an individual and systemic level.

Quality of life in adolescents with narcolepsy type 1– a transversal study in a tertiary hospital

Purpose– Narcolepsy type 1 (NT1) is a rare chronic sleep disorder, usually arising by adolescence that negatively impacts quality of life. It is characterized by excessive daytime sleepiness (EDS), cataplexy, hypnagogic/hypnopompic hallucinations, sleep paralysis and sleep fragmentation. The goals of this work were to characterize NT1 adolescents regarding sleep characteristics, health-related quality of life (HRQoL) and future life perspectives and later to compare this group with a control group of healthy adolescents (HA). Methods– Transversal descriptive/analytical study including NT1 patients followed in a sleep center of a tertiary hospital and 23 HA. Data were collected through an online survey, fulfilled by the participants, including four sections: demographics; questionnaire evaluating sleep and EDS; questionnaire evaluating HRQoL; inquiry regarding future perspectives. An extra section for the NT1 group only, comprising questions about the characterization of narcolepsy, was included. Results22 NT1 adolescents were included, with a median age of 15.0 years-old. Beyond EDS, all had presented cataplexy - 19 still reported it. Twenty patients took psychostimulants regularly for EDS, while 13 patients took venlafaxine or fluoxetine for cataplexy. Nineteen adolescents took regular naps and 19 maintained psychological appointments. Self-reported sleep quality was similar between groups (p = 0.112). EDS was identified in seven NT1 patients and none in the control group. HRQOL was significantly lower in NT1 patients only for the physical well-being domain (p = 0.001). Regarding future perspectives, results were similar, except for a lower probability of getting a driver's license in NT1 patients, despite no statistical significance (p = 0.104). DiscussionDaytime sleepiness is difficult to control in NT1, despite specialized treatment. HRQoL was similar between groups in all domains except for the physical well-being. Despite good adherence to pharmacological and non-pharmacological treatments (namely psychological therapy) that account for these good results, the physical well-being domain is difficult to manage.

Gender differences in the upper airway, craniofacial morphological and polysomnographic parameters in patients with obstructive sleep apnoea.

Obstructive sleep apnoea (OSA) is a common sleep disorder characterized by repetitive episodes of upper airway collapse during sleep associated with arousals with or without oxygen desaturation. This study aims to assess and analyse the morphological and neurological factors associated with obstructive sleep apnoea using polysomnography study data and two-dimensional cephalometric analysis of airway and skeletal parameters and their correlation in the patients with varying severities of obstructive sleep apnoea. This study included 892 patients who underwent a complete work up, including a thorough history, clinical examination, standard polysomnography study and 2D cephalometric analysis to diagnose obstructive sleep apnoea. This study divided the participants into two groups based on the AHI score from the PSG study: AHI < 15 and AHI > 15 groups. The groups were further divided into male and female groups to study the prevalence of OSA. The analysis involved 13 cephalometric parameters: Seven linear and six angular measurements. The airway parameters measured in this study were minimum posterior airway space (PAS_min), hyoid bone to the mandibular plane (H_MNP) and soft palate length (SPL). All the subjects in this study underwent a standard overnight polysomnography study at the sleep centre in Samsung Medical Center. A total of 892 adult participants (M: F = 727:165, mean age: 50.6 ± 13.2 years and age range: 18-85 years). AHI >15 group was significantly older with higher BMI, NC and WC compared to the AHI < 15 groups in both male and female groups. There was statistical significance observed in N1, N3, AI, ODI, lowest saturation (%) and apnoea max length between the groups (p < .001). The arousal index (AI), especially the respiratory arousal index was considerably higher in the male group. There were significantly higher values in all the PSG parameters in the male group. In the airway parameters, hyoid bone position and soft palate length showed significant differences (p < .001), whereas the PAS did not show any differences (p = .225) between the AHI <15 and AHI >15 groups. The overall skeletal cephalometric parameters showed no significant differences between the groups, whereas the gonial angle and AB to mandibular plane angle showed significant differences in the female group (p = .028, p = .041 respectively). The partial correlation of cephalometric parameters with AHI showed a stronger correlation between the H_MNP and AHI in both men and women. The position of the hyoid bone and the soft palate length influences the progression of OSA, especially in male patients. This study found no direct association between the minimum PAS and varying severities of OSA in men and women. We speculate that more than the craniofacial morphological factors such as the sagittal and vertical position of the maxilla and the mandible, the position of the hyoid bone might be more responsible for the severity of OSA.

Lower handgrip strength in short-sleeper individuals with obstructive sleep apnea

BackgroundObstructive sleep apnea (OSA) is a frequently observed and remarkably incapacitating disorder worldwide. As a multisystem disorder, OSA has been linked to a plethora of clinical parameters though physical parameters like muscle strength have been scantily studied. Hand grip strength (HGS) is a practical marker of physical function that has been associated with mortality and an array of clinical outcomes as well as physiological parameters like sleep duration. A few seminal studies have observed no link between HGS and OSA severity while no studies evaluated the relationship between objectively determined sleep duration and HGS in OSA. ObjectiveThe present study aimed to evaluate the HGS indices among both OSA severity groups and objectively determined sleep duration groups in OSA. Methods111 treatment-naïve mostly middle-aged individuals with OSA (86 males) were recruited in a tertiary sleep center. Three OSA severity groups were determined by the Apnea-Hypopnea Index while three sleep duration groups were objectively determined by Total Sleep Time (TST). Dominant and non-dominant maximum and average HGS were calculated using a digital hand dynamometer. ResultsShort-sleeper individuals with OSA were found to have lower HGS indices than intermediate or sufficient sleepers with OSA while no differences in HGS indices among OSA severity groups were observed. All HGS indices correlated with TST. ConclusionsFuture insights can be gleaned from the present results regarding the conceivably transdiagnostic relationship between sleep duration and HGS as well as the potential use of HGS as a marker in OSA.

Association between air pollutant exposure, body water distribution and sleep disorder indices in individuals with low-arousal-threshold obstructive sleep apnoea

BackgroundAir pollution may alter body water distribution, it may also be linked to low-arousal-threshold obstructive sleep apnoea (low-ArTH OSA). Here, we explored the mediation effects of air pollution on body...

Narcolepsy type 1 and Sydenham chorea – Report of 3 cases and review of the literature

Objectives/backgroundNarcolepsy type 1 (NT1) is an immune-mediated disorder characterized by excessive daytime sleepiness, cataplexy, low levels of hypocretin-1 in the cerebrospinal fluid, and a strong association with the HLA DQB1*06:02 allele. There is evidence for streptococcal infections as one pathogenic factor that may lead to NT1 as part of a multifactorial pathogenesis. Elevated titers of Antistreptolysin-O antibodies and increased inflammatory activity in response to streptococci antigens have been described in patients with NT1. Sydenham chorea (SC) results from a post-streptococcal autoimmune process targeting basal ganglia neurons. Despite this common trigger, SC has been interpreted as a misdiagnosis in a few described cases of patients who were first diagnosed with SC and later with NT1. Our goal was to analyze the association between SC and NT1. Patients/methodsWe reviewed the literature and report three patients from three European sleep centers who were diagnosed with both SC and NT1 within a few months. ResultsWe describe the cases of one male (age 10) and two female (age 22 and 10) patients. ConclusionsWe argue that in those cases both diagnoses are justified, unlike reports of previous cases in which SC was considered a misdiagnosis in patients with NT1. It remains, however, unclear if the conditions occur independently or if there is an overlap disorder- an SC-like subtype of narcolepsy with a particular sequence of symptoms. Further studies need to clarify the causality of the relationship and the pathophysiology of the reported rare association.

Polysomnography scoring-related training and quantitative assessment for improving interscorer agreement.

To efficiently improve the scoring competency of scorers with varying levels of experience across regions in Taiwan, we developed a training program with a cloud-based polysomnography scoring platform to evaluate and improve interscorer agreement. A total of 70 scorers from 34 sleep centers in Taiwan (job tenure: 0.5-39.0 years) completed a scoring test. All scorers scored a 742-epoch (30 s/epoch) overnight polysomnography recording of a patient with a moderate apnea-hypopnea index. Subsequently, 8 scoring experts delivered 8 interactive online lectures (each lasting 30 minutes). The training program included identifying scoring weaknesses, highlighting the latest scoring rules, and providing physicians' perspectives. Afterward, the scorers completed the second scoring test on the same participant. Changes in agreement from the first to second scoring test were identified. Sleep staging, sleep parameters, and respiratory events were considered for evaluating scoring agreement. The scorers' agreement in overall sleep stage scoring significantly increased from 74.6 to 82.3% (median score). The proportion of scorers with an agreement of ≥ 80% increased from 20.0% (14/70) to 58.6% (41/70) after the online training program. In addition, the scorers' agreement in overall respiratory-event scoring increased to 88.8% (median score) after training. The scorers with a job tenure of 2.0-4.9 years exhibited the highest level of improvement in overall sleep staging (their median agreement increased from 72.8 to 84.9%; P < .001). Our interactive online training program efficiently targeted the scorers' scoring weaknesses identified in the first scoring test, leading to substantial improvements in scoring proficiency. Liao Y-S, Wu M-C, Li C-X, Lin W-K, Lin C-Y, Liang S-F. Polysomnography scoring-related training and quantitative assessment for improving interscorer agreement. J Clin Sleep Med. 2024;20(2):271-278.

Enhanced expiratory rebreathing space for high loop gain sleep apnea treatment

The pathophysiology of sleep apnea goes beyond anatomic predisposition to airway collapse and includes additional factors such as arousal threshold and loop gain. High loop gain is a prominent feature in central and complex sleep apnea (with a mixture of obstructive and central features) where relative hypocapnia can lead to respiratory instability and periodic breathing. Existing therapies, including continuous positive airway pressure (CPAP) and adaptive servo-ventilators, often inadequately treat sleep apnea with high loop gain features. Enhanced expiratory rebreathing space (EERS) targets prevention of the hypocapnia that triggers central events in sleep by increasing dead space in amounts less than typical tidal volumes. This is accomplished by covering traditional exhalation ports on positive airway pressure masks and adding small additional tubing with distal exhalation and safety valves. This technique reduces carbon dioxide (CO2) blow-off during arousals and the associated large recovery breaths, typically producing a maximal increase in resting CO2 by 1–2 mmHg, thus increasing the CO2 reserve and making it less likely to encounter the hypocapnic apneic threshold. Typically, the amount of EERS is titrated in response to central events and periodic breathing rather than aiming for a goal CO2 level. Ideally CO2 monitoring is used during titration of EERS and the technique is avoided in the setting of baseline hypercapnia. This method has been used in clinical practice at our sleep center for over 15 years, and retrospective data suggests an excellent safety profile and high rates of successful therapy including in patients who have previously failed CPAP therapy. Limitations include decreased effectiveness in the setting of leak and decreased tolerance of the bulkier circuit. EERS represents a simple, affordable modification of existing positive airway pressure modalities for treatment of central and complex sleep apnea. Areas of future study include randomized controlled trials of the technique and study of use of EERS in combination with adaptive ventilation, and pharmacologic adjuncts targeting high loop gain physiology.

Discrimination Predicts Suboptimal Adherence to CPAP Treatment and Mediates Black-White Differences in Use

Although racial and ethnic differences in CPAP adherence for OSA are widely established, no studies have examined the influence of perceived racial discrimination on CPAP usage, to our knowledge. (1) Do Black adults with OSA report experiencing greater amounts of discrimination than non-Hispanic White adults? (2) Is discrimination associated with poorer CPAP adherence over time, independent of self-identified race? (3) Does discrimination mediate the relationship between self-identified Black race and CPAP usage? In this prospective study, Black and non-Hispanic White adults with OSA initiating CPAP were enrolled from two sleep centers and completed questionnaires including sociodemographics, perceived discrimination, daytime sleepiness, insomnia symptoms, and depressive symptoms. Perceived discrimination was measured using the Everyday Discrimination Scale (EDS). Black and White group comparisons for baseline sociodemographic variables, sleep symptoms, and perceived discrimination were performed with Student t test or χ2/Fisher exact test, as appropriate. A linear regression model was completed with self-identified Black race and EDS total score as the primary independent variables of interest and mean daily CPAP usage at 30 and 90days serving as the dependent outcomes. This regression modeling was repeated after adjusting for psychosocial variables known to be associated with CPAP usage. EDS total score was explored as a potential mediator of the association between self-identified Black race and mean daily CPAP adherence at 30 and 90days. The sample for this analysis consisted of 78 participants (31%female, 38%Black) with a mean age of 57 ± 14 years. Sixty percent of the Black adults reported they experienced racial discrimination at least a few times each year. Relative to White adults, Black adults were also more likely to indicate more than one reason for discrimination (27%vs4%, P= .003). Adjusting for discrimination, self-identified Black race was associated with 1.4 (95%CI,-2.3 to-0.4 h; P= .006) and 1.6 (95%CI,-2.6 to-0.6 h; P= .003) fewer hours of mean daily CPAP usage at 30 and 90days, respectively. In the fully adjusted model, a 1-unit change in the total discrimination score (more discrimination) was associated with a 0.08-h (95%CI, 0.01-0.15 h; P= .029) and 0.08-h (95%CI, 0.01-0.16 h; P= .045) change in mean daily CPAP usage at 30 and 90days, respectively. Adults with OSA who encountered racial discrimination experienced greater decrement in CPAP usage than those who did not experience racial discrimination.

The joint association of air pollution and sleep posture with mild obstructive sleep apnea in patients from Taipei Sleep Center

The joint association of air pollution and sleep posture with mild obstructive sleep apnea in patients from Taipei Sleep Center

Mobile Electrocardiograms in the Detection of Subclinical Atrial Fibrillation in High-Risk Outpatient Populations: Protocol for an Observational Study.

Single-lead, smartphone-based mobile electrocardiograms (ECGs) have the potential to provide a noninvasive, rapid, and cost-effective means of screening for atrial fibrillation (AFib) in outpatient settings. AFib has been associated with various comorbid diseases that prompt further investigation and screening methodologies for at-risk populations. A simple 30-second sinus rhythm strip from the KardiaMobile ECG (AliveCor) can provide an effective screen for cardiac rhythm abnormalities. The aim of this study is to demonstrate the feasibility of performing Kardia-enabled ECG recordings routinely in outpatient settings in high-risk populations and its potential use in uncovering previous undiagnosed cases of AFib. Specific aim 1 is to determine the feasibility and accuracy of performing routine cardiac rhythm sampling in patients deemed at high risk for AFib. Specific aim 2 is to determine whether routine rhythm sampling in outpatient clinics with high-risk patients can be used cost-effectively in an outpatient clinic without increasing the time it takes for the patient to be seen by a physician. Participants were recruited across 6 clinic sites across the University of Florida Health Network: University of Florida Health Nephrology, Sleep Center, Ophthalmology, Urology, Neurology, and Pre-Surgical. Participants, aged 18-99 years, who agreed to partake in the study were given a consent form and completed a questionnaire regarding their past medical history and risk factors for cardiovascular disease. Single-lead, 30-second ECGs were taken by the KardiaMobile ECG device. If patients are found to have newly diagnosed AFib, the attending physician is notified, and a 12-lead ECG or standard ECG equivalent will be ordered. As of March 1, 2024, a total of 2339 participants have been enrolled. Of the data collected thus far, the KardiaMobile rhythm strip reported 381 abnormal readings, which are pending analysis from a cardiologist. A total of 78 readings were labeled as possible AFib, 159 readings were labeled unclassified, and 49 were unreadable. Of note, the average age of participants was 61 (SD 10.25) years, and the average self-reported weight was 194 (SD 14.26) pounds. Additionally, 1572 (67.25%) participants report not regularly seeing a cardiologist. Regarding feasibility, the average length of enrolling a patient into the study was 3:30 (SD 0.5) minutes after informed consent was completed, and medical staff across clinic sites (n=25) reported 9 of 10 level of satisfaction with the impact of the screening on clinic flow. Preliminary data show promise regarding the feasibility of using KardiaMobile ECGs for the screening of AFib and prevention of cardiological disease in vulnerable outpatient populations. The use of a single-lead mobile ECG strip can serve as a low-cost, effective AFib screen for implementation across free clinics attempting to provide increased health care accessibility. DERR1-10.2196/52647.

Serum metabolomics study of narcolepsy type 1 based on ultra-performance liquid chromatography–tandem mass spectrometry

Narcolepsy is a chronic and underrecognized sleep disorder characterized by excessive daytime sleepiness and cataplexy. Furthermore, narcolepsy type 1 (NT1) has serious negative impacts on an individual's health, society, and the economy. Currently, many sleep centers lack the means to measure orexin levels in the cerebrospinal fluid. We aimed to analyze the characteristics of metabolite changes in patients with NT1, measured by ultra-performance liquid chromatography–tandem mass spectrometry. A principal component analysis (PCA), an orthogonal partial least square discriminant analysis (OPLS-DA), t tests, and volcano plots were used to construct a model of abnormal metabolic pathways in narcolepsy. We identified molecular changes in serum specimens from narcolepsy patients and compared them with control groups, including dehydroepiandrosterone, epinephrine, N-methyl-D-aspartic acid, and other metabolites, based on an OPLS-loading plot analysis. Nine metabolites yielded an area under the receiver operating curve > 0.75. Meanwhile, seven abnormal metabolic pathways were correlated with differential metabolites, such as metabolic pathways; neuroactive ligand‒receptor interaction; and glycine, serine, and threonine metabolism. To our knowledge, this is the first study to reveal the characteristic metabolite changes in sera from NT1 patients for the selection of potential blood biomarkers and the elucidation of NT1 pathogenesis.

The use of the sleep apnea-specific hypoxic burden to predict obstructive sleep apnea hypopnea syndrome: Evidence from a large cross-sectional study

ObjectivesObstructive sleep apnea hypopnea syndrome (OSA) is an independent risk factor for neurocognitive and behavioral problems and cardiovascular and metabolic morbidities, ultimately increasing mortality. However, OSA diagnosis is time-consuming, labor-intensive, and expensive. We evaluated the predictive utility of the sleep apnea-specific hypoxic burden (SASHB) in terms of OSA and the severity thereof in Han Chinese individuals. MethodsFrom January 2019 to July 2022, subjects with suspected OSA were recruited in the sleep center of the Shanghai Sixth People's Hospital during sleep evaluation via standard polysomnography. Basic anthropometric measurements and polysomnographic indicators were collected; SASHB was calculated based on the SpO2 trends of apnea or hypopnea events. Models predictive of OSA were established via logistic regression in the experimental group and verified in an independent group by drawing receiver operating characteristic (ROC) curves. ResultsA total of 2303 subjects with suspected OSA (1200 in the experimental group and 1103 in the validation group) were included. SASHB was positively correlated with the apnea-hyponea index (AHI) in all subjects (r = 0.823, P < 0.001). SASHB distinguished OSA from non-OSA subjects in both the experimental group {area under the curve (AUC) 0.948 [0.934∼0.962]} and the validation group (AUC 0.931 [0.913∼0.949]). SASHB predicted OSA severity well, better than did the neck, waist, or hip circumference; the lowest or mean oxygen saturation; and the Epworth sleepiness scale score. ConclusionSASHB predicted OSA both accurately and efficiently in a Chinese Han population. Further studies are warranted to verify our findings in community samples.

Chronic insomnia: are patients also suffering from PTSD symptoms?

IntroductionInsomnia is highly prevalent in the general population, and is commonly associated with somatic and psychiatric comorbidities. However, its origins remain poorly-understood. Recently, adverse childhood events (ACE), including traumatic experiences, have been found to be significantly associated with both insomnia and Post-Traumatic Stress Disorders (PTSD). Many patients with PTSD suffer from sleep disorders. However, we know much less about traumatic childhood experiences in patients with insomnia and PTSD.MethodsOur exploratory study investigated a cohort of 43 patients (14 males, 29 females) clinically diagnosed with chronic insomnia at a sleep center, and systematically evaluated their condition using the trauma history questionnaire (THQ), and the PTSD checklist (PCL-5).ResultsOur results show that 83.72% of insomnia patients reported at least one traumatic event, while the prevalence of PTSD symptoms was 53.49%. For 11.6% of patients, insomnia began in childhood, while for 27.07% it began in adolescence. PCL-5 scores were associated with higher Insomnia Severity Index (ISI) scores, but not trauma. ISI scores were also higher for women, and positive relationships were observed between ISI scores, PCL-5 scores and the number of self-reported traumatic events among women.ConclusionsThese exploratory results highlight that the relationship between PTSD symptoms and insomnia could be sex-specific. They also highlight the importance of PTSD symptoms screening for patients diagnosed with chronic insomnia.

Positive Pressure Ventilation Treatment Based on Daytime and Night-time Titration in Patients with Obesity Hypoventilation Syndrome: A Randomized Controlled Trial.

Objectives The aim of the present study was to investigate the improvements of gas exchange and excessive daytime sleepiness in patients with obesity hypoventilation syndrome (OHS) in daytime and night-time split polysomnography (DSPSG and NSPSG). Materials and Methods In the present randomized controlled trial, patients with OHS were enrolled in two DSPSG (51 patients) and NSPSG (50 patients) groups in the Bamdad respiratory and sleep research center in Isfahan, Iran. In both groups, the diagnostic polysomnography (PSG) and titration were conducted in one session according to the guidelines of NSPSG. SpO2, PaCO2, and the Epworth Sleepiness Scale (ESS), were measured initially and 12 weeks after treatment. Furthermore, the PSG parameters and the type of treatments for the two groups were recorded and analyzed. Results A total of 101 OHS patients (age: 62.02 ± 12.4 year old; 61 females [60.4%]) were evaluated. There were no significant differences regarding BMI, gender, and AHI between groups ( p > 0.05). Primary SpO2, PaCO2, and ESS were not significantly different between the two groups. After 12 weeks of treatment by continuous positive airway pressure (CPAP) or bi-level positive airway pressure (BiPAP), there were significant improvement of SpO2, PaCO2, and ESS score ( p < 0.001). The amount of change of these variables was not different between groups. Among all variables, only the lower SpO2 and higher PaCO2 were associated with response to BiPAP. Discussion There were no significant differences in the number of changes of SpO2, PaCO2, and ESS by treatment in the DSPSG and NSPSG groups. Therefore, DSPSG may be considered as a valuable alternative method for the diagnosis and titration in OHS patients. Clinical Trials IRCT20170512033930N2.

INSOMNet: Automated insomnia detection using scalogram and deep neural networks with ECG signals.

Sleep is a natural state of rest for the body and mind. It is essential for a human's physical and mental health because it helps the body restore itself. Insomnia is a sleep disorder that causes difficulty falling asleep or staying asleep and can lead to several health problems. Conventional sleep monitoring and insomnia detection systems are expensive, laborious, and time-consuming. This is the first study that integrates an electrocardiogram (ECG) scalogram with a convolutional neural network (CNN) to develop a model for the accurate measurement of the quality of sleep in identifying insomnia. Continuous wavelet transform has been employed to convert 1-D time-domain ECG signals into 2-D scalograms. Obtained scalograms are fed to AlexNet, MobileNetV2, VGG16, and newly developed CNN for automated detection of insomnia. The proposed INSOMNet system is validated on the cyclic alternating pattern (CAP) and sleep disorder research center (SDRC) datasets. Six performance measures, accuracy (ACC), false omission rate (FOR), sensitivity (SEN), false discovery rate (FDR), specificity (SPE), and threat score (TS), have been calculated to evaluate the developed model. Our developed system attained the classifications ACC of 98.91%, 98.68%, FOR of 1.5, 0.66, SEN of 98.94%, 99.31%, FDR of 0.80, 2.00, SPE of 98.87%, 98.08%, and TS 0.98, 0.97 on CAP and SDRC datasets, respectively. The developed model is less complex and more accurate than transfer-learning networks. The prototype is ready to be tested with a huge dataset from diverse centers.

Challenges of Applying Automated Polysomnography Scoring at Scale.

Automatic polysomnography analysis can be leveraged to shorten scoring times, reduce associated costs, and ultimately improve the overall diagnosis of sleep disorders. Multiple and diverse strategies have been attempted for implementation of this technology at scale in the routine workflow of sleep centers. The field, however, is complex and presents unsolved challenges in a number of areas. Recent developments in computer science and artificial intelligence are nevertheless closing the gap. Technological advances are also opening new pathways for expanding our current understanding of the domain and its analysis.