Sleep Evaluation Research Articles

Progression of type B intramural hematoma in patients with obstructive sleep apnea

ObjectiveIn the present study, we estimated the influence of obstructive sleep apnea (OSA) on the progression of type B intramural hematoma (IMHB). MethodsA total of 127 patients had undergone sleep evaluations and esophageal pressure measurements. The variables associated with aorta-related adverse events and mortality were summarized by logistic regression analysis and Cox proportional hazard models. A competing risk analysis of death was used to estimate aorta- and non–aorta-related mortality. ResultsThe OSA group had a greater aorta-related adverse events rate (46% vs 4%; P < .001). The mean nighttime systolic pressure (odds ratio [OR], 1.24; 95% confidence interval [CI], 1.11-1.38; P < .001) was associated with aorta-related adverse events during the acute phase. Thoracic endovascular aortic repair (hazard ratio [HR], 16.2; 95% CI, 7.68-34.22, P < .001) and mean morning systolic pressure (HR, 1.43; 95% CI, 1.22-1.68; P < .001) were associated with a higher rate of aorta-related adverse events. OSA (HR, 3.19; 95% CI, 2.57-12.15; P < .001) and mean morning systolic pressure (HR, 1.59; 95% CI, 1.27-2.01; P = .002) were significantly associated with aorta-related mortality. Competing risk analysis revealed significantly higher aorta-related mortality in the OSA group (11.8% vs 2.0%; P = .0412). A neutrophil/lymphocyte ratio >3.52 (specificity, 90.2%; sensitivity, 89.5%) and mean platelet volume/platelet ratio >0.049 (specificity, 98.0%; sensitivity, 98.7%) had diagnostic value for detecting OSA in patients with IMHB. ConclusionsThe presence of OSA led to a higher aorta-related adverse event rate and mortality in patients with IMHB. The variables associated with these outcomes included thoracic endovascular aortic repair, mean morning and nighttime systolic pressure, and OSA. The neutrophil/lymphocyte ratio and platelet volume/platelet ratio are valuable for detecting OSA in patients with IMHB.

Relationship of sleep disorders with long-term complications and health-related quality of life in people with well-controlled human immunodeficiency virus.

Although sleep disorders are common in patients with human immunodeficiency virus (HIV) infection, they have not been adequately evaluated under currently advanced treatments, mainly with integrase strand transfer inhibitors. However, the relationship of sleep disorders with long-term complications and quality of life (QOL) status in patients infected with HIV is still poorly understood. Such associations are important in the management of outpatients with HIV. Hence, this study aimed to evaluate these associations.This cross-sectional observational study assessed the QOL changes of patients with HIV before and after the treatment regimen change. Male patients with well-controlled HIV who attended our hospital and changed HIV medications for reasons other than treatment failure between October 2019 and September 2021 were included. At the time of regimen change, sleep disorder status was assessed according to the Pittsburgh sleep quality index (PSQI), and health-related QOL (HRQOL) was assessed using the medical outcomes study 8-item short form health survey. In addition, we collected information on age, blood tests, and long-term comorbid conditions present during the evaluation. The HIV treatment regimen was also reviewed.Out of 45 male Japanese patients with HIV that were included in this study, 24 (53.3%) and 21 (46.7%) were classified into the sleep disorder group and nonsleep disorder group, respectively, according to their PSQI scores. The sleep disorder group had a significantly lower HRQOL mental component summary (P = .0222) than the nonsleep disorder group. The prevalence rates of hypertension, dyslipidemia, and diabetes mellitus were not significantly different between the 2 groups. In addition, a significant correlation was observed between PSQI scores and the HRQOL status (mental component summary, P = .0450; physical component summary, P = .0350).Sleep disorders remain common in patients with well-controlled HIV infection receiving current treatment. Sleep disorder is significantly associated with a low HRQOL in these patients. Hence, sleep status evaluation is necessary to improve HIV management.

Effects of TS-142, a novel dual orexin receptor antagonist, on sleep in patients with insomnia: a randomized, double-blind, placebo-controlled phase 2 study

RationaleNovel compound with potent antagonistic activity against orexin receptors may be new treatment option for patients with insomnia.ObjectiveThe aim was to investigate the efficacy and safety of single oral doses of the dual orexin receptor antagonist TS-142 in patients with insomnia.MethodsThis multicenter, double-blind, crossover randomized clinical trial included non-elderly patients with insomnia. Patients were randomized to receive single doses of placebo and TS-142 at doses of 5, 10, and 30 mg in one of four different sequences, with a 7-day washout period between treatments. Primary efficacy endpoints were latency to persistent sleep (LPS) and wake time after sleep onset (WASO) measured by polysomnography.ResultsTwenty-four patients were included (mean age 50.3 ± 10.5 years; mean duration of insomnia 5.71 ± 8.68 years). Least-squares mean differences (95% confidence interval) from placebo in LPS with 5, 10, and 30 mg TS-142 were − 42.38 (− 60.13, − 24.63), − 42.10 (− 60.02, − 24.17), and − 44.68 (− 62.41, − 26.95) minutes, respectively (all p < 0.001). Least-squares mean differences (95% confidence interval) from placebo in WASO with 5, 10, and 30 mg TS-142 were − 27.52 (− 46.90, − 8.14), − 35.44 (− 55.02, − 15.87), and − 54.69 (− 74.16, − 35.23) minutes, respectively (all p < 0.01). Self-reported aspects of sleep initiation and sleep quality, determined using the Leeds Sleep Evaluation Questionnaire (LSEQ), were also improved with TS-142 administration versus placebo. TS-142 was well tolerated; all adverse events were mild or moderate and none were serious.ConclusionSingle-dose TS-142 was well tolerated and had clinically relevant effects on objective and subjective sleep parameters in patients with insomnia.Clinical Trial registrationJapicCTI173570 (www.clinicaltrials.jp); NCT04573725 (www.clinicaltrials.gov).

Relationship between Restless legs syndrome associated symptoms and presence of depression during pregnancy

ABSTRACT Restless legs syndrome (RLS) is associated with depression in the general population. Although depression can lead to adverse events during the perinatal period, the association between RLS and depression remains under debate. Thus, we examined the association between depression and RLS, including RLS-associated symptoms, in pregnant women. We evaluated the presence of RLS and RLS-associated symptoms in 135 pregnant women using questionnaires on RLS symptoms based on Allen’s symptoms and the International Restless Legs Syndrome Rating Scale (IRLS), respectively. We defined RLS as 4/4 on Allen’s symptoms. Depressive status was evaluated using the Edinburgh Postnatal Depression Scale. The mean±SD of age was 31.8 ± 4.3 years, and none of the participants had a family history of RLS. Ten percent of women had depression during their pregnancy and demonstrated higher IRLS scores than those without depression (6.1 ± 10.5 vs. 0.7 ± 3.8 points, P = 0.001). A significant association between IRLS score, including its subscales, and depression was observed, even after adjusting for confounders. It was concluded that RLS-associated symptoms may be indicators of depression during pregnancy. Comprehensive sleep evaluations and examinations of RLS-associated symptoms are needed to improve psychiatric health during pregnancy.

Obstructive Sleep Apnea Impacts Cardiac Function in Dilated Cardiomyopathy Patients Through Circulating Exosomes.

BackgroundObstructive sleep apnea (OSA) is common and independently associated with heart failure. This study aimed to investigate the impact of OSA on heart function in patients with dilated cardiomyopathy (DCM) as well as the possible mechanism related to exosomes regulated autophagy.Methods and ResultsA total of 126 patients with DCM who underwent sleep evaluations were analyzed retrospectively. Cardiomyocytes were treated with exosomes isolated from untreated OSA patients and healthy controls. Fibrotic and hypertrophic markers were evaluated, and Akt/mTOR pathway-mediated autophagy was investigated. DCM patients with severe OSA had larger right ventricular end-diastolic diameter (RVEDd) and right atrial diameter (RAD) and increased N-terminal pro-B-type natriuretic peptide (NT-proBNP) levels than DCM patients without OSA. Moreover, NT-proBNP and diabetes mellitus were independently correlated with the apnea-hypopnea index in multiple linear regression analysis. Treatment with OSA-derived exosomes significantly increased Col1A1, ANP, and BNP protein expression and decreased the expression of the autophagy markers LC3B II/I and beclin1. Rapamycin treatment significantly increased the decreased autophagy markers and attenuated the increased expression of Col1A1, ANP and BNP induced by OSA-derived exosomes.ConclusionThe severity of OSA is significantly associated with cardiac injury and remodeling. The underlying mechanism may be related to changed autophagy levels, which are regulated by circulating exosomes via the Akt/mTOR signaling pathway. This study may provide a new clue for the treatment of heart failure with OSA.

Importance of Getting Enough Sleep and Daily Activity Data to Assess Variability: Longitudinal Observational Study.

BackgroundThe gold standard measurement for recording sleep is polysomnography performed in a hospital environment for 1 night. This requires individuals to sleep with a device and several sensors attached to their face, scalp, and body, which is both cumbersome and expensive. Self-trackers, such as wearable sensors (eg, smartwatch) and nearable sensors (eg, sleep mattress), can measure a broad range of physiological parameters related to free-living sleep conditions; however, the optimal duration of such a self-tracker measurement is not known. For such free-living sleep studies with actigraphy, 3 to 14 days of data collection are typically used.ObjectiveThe primary goal of this study is to investigate if 3 to 14 days of sleep data collection is sufficient while using self-trackers. The secondary goal is to investigate whether there is a relationship among sleep quality, physical activity, and heart rate. Specifically, we study whether individuals who exhibit similar activity can be clustered together and to what extent the sleep patterns of individuals in relation to seasonality vary.MethodsData on sleep, physical activity, and heart rate were collected over 6 months from 54 individuals aged 52 to 86 years. The Withings Aura sleep mattress (nearable; Withings Inc) and Withings Steel HR smartwatch (wearable; Withings Inc) were used. At the individual level, we investigated the consistency of various physical activities and sleep metrics over different time spans to illustrate how sensor data from self-trackers can be used to illuminate trends. We used exploratory data analysis and unsupervised machine learning at both the cohort and individual levels.ResultsSignificant variability in standard metrics of sleep quality was found between different periods throughout the study. We showed specifically that to obtain more robust individual assessments of sleep and physical activity patterns through self-trackers, an evaluation period of >3 to 14 days is necessary. In addition, we found seasonal patterns in sleep data related to the changing of the clock for daylight saving time.ConclusionsWe demonstrate that >2 months’ worth of self-tracking data are needed to provide a representative summary of daily activity and sleep patterns. By doing so, we challenge the current standard of 3 to 14 days for sleep quality assessment and call for the rethinking of standards when collecting data for research purposes. Seasonal patterns and daylight saving time clock change are also important aspects that need to be taken into consideration when choosing a period for collecting data and designing studies on sleep. Furthermore, we suggest using self-trackers (wearable and nearable ones) to support longer-term evaluations of sleep and physical activity for research purposes and, possibly, clinical purposes in the future.

Expert consensus for the use of home sleep apnea test in the diagnosis of obstructive sleep apnea in adults

With the advancement of home sleep apnea test (HSAT) technology and the increase of encouraging evidence of home-based management approach for obstructive sleep apnea (OSA), HSAT devices using different types of biosignal acquisition technology are more and more widely used for the diagnosis of OSA in adults. HSAT for the diagnosis of OSA should be performed in combination with a comprehensive clinical and sleep evaluation. HSAT can be used as a diagnostic tool for uncomplicated OSA with a high pretest probability of moderate to severe OSA. A negative HSAT result cannot exclude the diagnosis of OSA for subjects with high clinical suspicion. Polysomnography (PSG) is preferred for the diagnosis of OSA in patients with significant comorbid medical conditions. The clinical application of HSAT in the diagnosis of complicated OSA needs to refer to the severity of clinical condition, comorbid disease, personal preference, local medical insurance policy and the accessibility of medical resources. HSAT may be indicated for the diagnosis of OSA in patients for whom attended PSG is not possible by virtue of immobility, safety, or critical illness. HSAT can be used for the screening of OSA in subjects with cardiocerebrovascular diseases. Follow-up HSAT or PSG is recommended to evaluate therapeutic response with non-positive airway pressure (PAP) interventions. Follow-up HSAT or PSG can be used for reassessment for patients with clinically significant weight fluctuation, persistent or recurrent symptoms under good PAP adherence, emergence or changes in cardiovascular diseases. Due to limitations of current automatic scoring algorithms that restrict the diagnostic accuracy, it is mandatory to review the raw data of type 3 devices. The selection of HSAT equipment, interpretation of monitoring results and the development of management plan should be under the guidance of physicians with sleep medicine training. Consumer-grade technologies are not appropriate for the clinical diagnosis of OSA due to lack of validation.

Sleep Disorders in Patients With Craniopharyngioma: A Physiopathological and Practical Update

Sleep disorders (SDs) represent an important issue in patients with craniopharyngioma (CP). Nearly 70% of these patients complain of sleep-wake cycle alterations and/or excessive diurnal somnolence due to sleep-related breathing disorders, such as obstructive sleep apnea (OSA) and/or central hypersomnia, including secondary narcolepsy. SDs may severely reduce quality of life, increase disease-related cardiorespiratory and cardiovascular morbidity, and finally play a major role in increased long-term mortality reported on patients with CP. A major risk factor for SDs is represented by the hypothalamic syndrome, which may develop because of direct hypothalamic damage by the tumor itself and/or complications of the treatments, neurosurgery and/or radiotherapy, and typically includes permanent neuroendocrine dysfunctions, morbid obesity, and secondary metabolic disorders. Despite increasing attention to SDs in the general population, and in particular to OSA as a risk factor for cardio-metabolic diseases and excessive daytime somnolence, sleep evaluation is still not routinely proposed to patients with CP. Hence, SDs are often underdiagnosed and undertreated. The aim of this paper is to update current knowledge of the pathogenesis and prevalence of SDs in patients with CP and propose practical algorithms for their evaluation and management in clinical practice. Particular attention is paid to screening and diagnostic tools for appropriate characterization of SDs, identification of risk factors, and potential role of hypothalamic sparing surgery in the prevention of morbid obesity and SDs. Available tools in sleep medicine, including lifestyle interventions, drugs, and respiratory devices, are discussed, as well as the importance of optimal hormone replacement and metabolic interventions. Current limits in the diagnosis and treatment of SDs in patients with CP and possible future avenues for research agenda are also considered.

Cancer-Related Sleep Wake Disturbances.

To review the evidence on sleep wake disturbance (SWD) in adults with cancer and provide an up-to-date review of the prevalence, impact, causes, risk factors, assessment, options for treatment, and emerging science and technology. These include a synthesis of review articles and sources in electronic databases CONCLUSION: SWD is a prevalent and debilitating problem for millions of people living with cancer. If not addressed, SWD can negatively impact physical and psychological recovery from cancer. Multiple factors contribute to SWD among patients with cancer including a variety of physical symptoms related to cancer and its treatment including fatigue, anxiety, and other psychological symptoms. When SWD risk factors are predicted and clinical features evaluated, there are several treatment options and strategies available to help patients in a timely manner. There is a substantial body of evidence supporting the use of psychosocial interventions and behavioral treatments, such as cognitive behavioral therapy for insomnia (CBTI). Growing evidence supports exercise and mindfulness-based stress reduction to diminish SWD. Sleep needs to be prioritized in cancer care, but dedicated effort and resources are needed to address the patient, clinician, institutional, and societal barriers to routine sleep evaluation and effective delivery of SWD interventions. It is important for oncology providers to be educated regarding both pharmacologic and nonpharmacological treatments. Strategies for management of SWD in the context of cancer care delivery and future research are discussed in the context of the predictive preventive and personalized medicine framework (PPPM).

Changes in Pre- and Postsurgery for Drug Resistant Epilepsy: Cognition and Sleep.

Background Most patients with drug-resistant epilepsy (DRE) have cognitive impairment and sleep disturbance. There was a significant correlation between sleep disorders and cognitive dysfunction. This study performed surgical treatment on patients with DRE and observed seizures, sleep, and cognition in patients with DRE in 6th month after operation to clarify the correlation between sleep and cognition in DRE patients.Methods 21 individuals with DRE were recruited to enroll in this trial. Each participant completed epileptic focus resection. Seizure frequency was the principle index; the mean seizure frequency was 1 month before surgery and six months after surgery. Cognitive function was assessed by MMSE, and sleep status was assessed by PSQI and ActiGraph; assessments were performed before and 6 months after surgery. Results There were significant differences between conditions on all outcome measures; after 6 months of surgery, compared with before treatment, the monthly average seizure frequency of DRE decreased, which was statistically significant (P < 0.001) compared with that before treatment. The MMSE score of DRE patients was significantly higher than before (P < 0.01), especially the ability of attention, calculation, and recall in MMSE score, which was significantly higher than before operation (respectively, P < 0.001 and P < 0.01). The subjective sleep evaluation index PSQI and objective measurement of sleep latency, total sleep time, and sleep efficiency of patients with DRE by ActiGraph were statistically significant (respectively, P < 0.01) compared with that before treatment. There was a correlation between seizure frequency and MMSE (r = −0.8887, P < 0.0001), PSQI (0.5515, P < 0.01), sleep latency (0.5353, P < 0.05), total sleep time (-0.7814, P < 0.0001), and sleep efficiency (-0.4380, P < 0.05). Conclusions Surgery can effectively reduce the epileptic seizures frequency in patients with DRE and indirectly improve the computational power, attention, recall ability, and sleep status of patients. However, this result did not show a correlation between improved cognitive function and sleep, so the patient's cognitive function may be caused by surgery to improve the frequency of seizures. So, whether the improvement of patients' sleep conditions can also significantly improve the frequency of attacks and cognitive function in patients with DRE needs further exploration.

Assessing sleep-related attitudes with the implicit association test: A prospective study in young adults.

The measurement of automatic attitudes towards sleep, in addition to reflective self-reports, might improve our ability to predict and explain sleep-hindering practices. Two types of implicit association tests (IATs), a sleep-related evaluations IAT and a sleep-related self-identity IAT, were developed to evaluate their efficacy for assessing automatic sleep-related attitudes. In addition, a speeded self-report measure of sleep evaluations was explored as a means to assess automatic sleep-related attitudes. The study included 136 young adults (age=21.70±2.22, 43% female). At baseline, the two IATs, the speeded self-report, and standard self-reports of sleep determinants (reflective attitudes, self-efficacy, intention and action planning for sleep-promoting behaviour), sleep hygiene practices, sleep quality, and sleep duration were assessed. All variables except for the sleep determinants were assessed again at 2-week follow-up. The results demonstrated good reliability of the two IAT versions, but both IATs were unrelated to the speeded self-report, the sleep determinants, sleep practices, sleep quality or sleep duration. The speeded self-report correlated significantly with the standard self-reports of sleep determinants. Baseline scores on the IATs or speeded self-report did not predict sleep hygiene practices, sleep duration or sleep quality at follow-up. The findings indicate that sleep-related IATs might not be suited to assess automatic sleep-related attitudes. Further investigation is needed to determine whether speeded self-reports are valid measures of automatic attitudes. Moreover, more empirical research is required to clarify the role of automatic processes for sleep hygiene behaviours.

Multi‐disciplinary collaborative consensus guidance statement on the assessment and treatment of breathing discomfort and respiratory sequelae in patients with post‐acute sequelae of SARS‐CoV‐2 infection (PASC)

<scp>Multi‐disciplinary</scp> collaborative consensus guidance statement on the assessment and treatment of breathing discomfort and respiratory sequelae in patients with <scp>post‐acute</scp> sequelae of <scp>SARS‐CoV</scp>‐2 infection (<scp>PASC</scp>)

A Model for Sleep Apnea Management in Underserved Patient Populations

Introduction:Obstructive sleep apnea (OSA) is a common condition in the United States that is strongly linked to metabolic disease, cardiovascular disease, and increased mortality. Uninsured populations experience sleep health disparities, including delayed recognition, diagnosis, and treatment of OSA due to barriers accessing and affording care. Partnerships between primary care clinics and sleep medicine specialists for sleep apnea management have the potential to increase screening, testing, and treatment among underserved populations. Here, we present an integrated and cost-effective model that is easier to navigate for patients while maintaining high quality care.Methods:We designed and implemented a specialty sleep clinic at Shade Tree Clinic, Vanderbilt’s student-run, free primary care clinic. Patients with signs and symptoms of OSA were identified at primary care appointments and screened using the STOP-BANG questionnaire. Clinic visits took place over telehealth with a medical student and sleep specialist. Patients were diagnosed using a home sleep test, and if indicated, were prescribed and given a CPAP device for treatment. CPAP adherence was monitored using a cloud-based remote monitoring system.Results:From December 2020 through August 2021, we hosted 6 telehealth Sleep Clinics, seeing a total of 28 patients across these visits. We have received a total of 37 referrals and have coordinated sleep evaluations and diagnostic testing for 18 of these patients so far. Prior to initiation of the sleep clinic, there were 17 patients on our primary care panel at Shade Tree with a diagnosis of OSA. These patients were using donated equipment and many had been lost to follow-up or had broken parts. We were able to replace 10 of these patient’s CPAP devices and plan to replace the remaining seven.Conclusions:We have created a model of integrated specialty care that is efficient and cost-effective. This paradigm can be replicated for the many specialties that are typically overlooked and undertreated when working with uninsured patients. As awareness of this sleep medicine program becomes more widespread at Shade Tree Clinic, we anticipate reaching more primary care patients with signs and symptoms of sleep apnea through student education, cost-effective diagnostics, and partnership with sleep specialists.

Do Children of Patients with Bipolar Disorder have a Worse Perception of Sleep Quality?

IntroductionThe offspring of bipolar parents (BO) is a high-risk population for inheriting the bipolar disorder (BD) and other early clinical manifestations, such as sleep disturbances. ObjectiveTo compare the presence of psychiatric disorders and sleep disturbances of BO versus offspring of control parents (OCP). MethodsA cross-sectional analytical study was conducted that compared BO versus OCP. The participants were assessed using valid tools to determine the presence of psychiatric symptoms or disorders. The “Sleep Evaluation Questionnaire” and “School Sleep Habits Survey” were used to determine sleep characteristics and associated factors. Sleep records (7-21 days) were also obtained by using an actigraphy watch. ResultsA sample of 42 participants (18 BO and 24 OCP) was recruited. Differences were found in the presentation of the psychiatric disorder. The BO group showed a higher frequency of major depression disorder (MDD; P = .04) and Disruptive Mood Dysregulation Disorder (DMDD; P = .04). The OCP group showed a higher frequency of Attention Deficit and Hyperactivity Disorder (ADHD; P = .65), and Separation Anxiety Disorder (SAD; P = .46). Differences were also found in sleep by using subjective measurements. Compared to the OCP group, BO had a worse perception of quality of sleep (P = .02), a higher frequency of nightmares (P = .01), a shorter total sleep time, and a higher sleep latency. Nevertheless, no differences were found between groups in the actigraphy measurements. ConclusionsThe BO group had a higher frequency of Mood Disorders, and at the same time a higher number of sleep disturbances in the subjective measurements. It is possible that there is an association between mood symptoms, sleep disturbances, and coffee intake. No differences were found in the sleep profile by using actigraphy.

Factors affecting sleep quality in patients with systemic lupus erythematosus.

This study aimed to assess the sleep quality and the factors affecting the sleep quality in patients with systemic lupus erythematosus (SLE). This was a descriptive and cross-sectional study conducted in 105 patients with SLE who were admitted to the rheumatology polyclinic of a university hospital between May and July 2017. The data were collected using a "Patient Description Form" and the "Pittsburgh Sleep Quality Index (PSQI)." The total mean (standard deviation) PSQI score of the patients was 7.81 (3.11). Duration of disease, presence of comorbid diseases, side effects of drugs, and sleep disruption and related problems were identified as factors affecting sleep quality. The model of the regression showed that side effects of drugs, sleep disruption, and trouble falling asleep suffered higher PSQI score (bad sleep quality). Results of this study showed that the sleep quality was generally poor in patients with SLE. Sleep quality was affected by some disease and sleep variables. Therefore, comprehensive sleep evaluation is necessary in the planning of treatment and care of SLE patients and to implement initiatives to improve sleep patterns in these patients.

Relationship of overweight and obesity to insomnia severity, sleep quality, and insomnia improvement in a clinically referred pediatric sample.

Children with overweight or obesity are more likely to experience sleep disorders, although the role of weight in pediatric insomnia treatment has not been examined. The current study examined the relationships of high body mass with pretreatment insomnia severity and global sleep problems and the potential moderating impact of weight on changes in insomnia severity following insomnia treatment. Participants included 1,133 youth ages 2-18 years clinically referred for insomnia treatment. The Pediatric Insomnia Severity Index was collected at the initial assessment and throughout treatment as part of routine clinical care. Treatment status was coded as no treatment, early termination, and completed treatment. Secondary measures of global sleep problems at the initial assessment included the Adolescent Sleep Wake Scale, Adolescent Sleep Hygiene Scale, and Children's Sleep Habits Questionnaire. Medical chart review of visits within ± 3 months of baseline was used to obtain age-adjusted and sex-adjusted body mass index Z-score. Among adolescents, regression analyses found that higher body mass index Z-score modestly predicted baseline insomnia severity (P = .021) and worse sleep hygiene (P < .001). For children, higher body mass index Z-score was modestly associated with baseline total sleep problems (P = .006) but not insomnia severity (P = .792). Across ages, body mass index Z-score predicted neither treatment status nor insomnia improvement (P > .05). Findings were similar in categorical analyses comparing patients with overweight/obesity to healthy weight. Although there is evidence that children of higher body mass present for insomnia treatment with greater sleep concerns, body mass does not predict treatment completion or insomnia improvement. Data suggest insomnia treatment is effective irrespective of weight status. Duraccio KM, Simmons DM, Beebe DW, Byars KC. Relationship of overweight and obesity to insomnia severity, sleep quality, and insomnia improvement in a clinically referred pediatric sample. J Clin Sleep Med. 2022;18(4):1083-1091.

Sympathoadrenal activity and sleep: in the search for a marker of hyperarousal in insomnia

Objective. To assess subjective and objective sleep characteristics and urinary metanephrine levels in patients with insomnia. Design and methods. We included patients with insomnia complaints and those without sleep– related complaints (control group) 18–75 years old. Subjective evaluation of the main sleep characteristics during the last month was assessed by the Pittsburgh Sleep Quality questionnaire, daytime sleepiness — by the Epworth Sleepiness Scale. For objective sleep evaluation we performed one-night polysomnography (PSG). Within 1 week after the PSG, daily urine was collected to determine the level of metaepinephrine. Results. The groups did not differ by age, mean sleep duration over the past month, number of night awakenings by the Pittsburgh Questionnaire, and level of daytime sleepiness. Sleep latency in insomnia group was 15 minutes longer than in the control group. PSG showed higher apnea-hypopnea and desaturation indices in the control group. There were no differences in daily urinary metanephrine excretion in the main and control groups. Correlation analysis showed no significant association between the metanephrine levels and the severity of somnolence and the index of periodic limb movements. Conclusions. Our analysis showed no significant differences in the daily urine metanephrine levels and the main PSG sleep characteristics among subjects with and without insomnia. Further work is required to clarify markers of insomnia and their negative health effects.

Identifying obstructive sleep apnea in geriatric outpatients with neuropsychological testing

AbstractBackgroundObstructive sleep apnea (OSA) is common in geriatric patients and has been associated with neurocognitive disorders such as Alzheimer’s disease and other dementias. Dexter and Ebert (2019) reported a unique pattern of lower scores for immediate memory relative to delayed memory was observed in patients with OSA on the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). The aim of the current investigation was to examine the frequency of confirmed OSA diagnosis in persons with snoring and immediate memory scores less than delayed memory scores in ambulatory geriatric patients referred for memory assessment.MethodPatients were initially assessed for memory complaints at the University of Wisconsin‐Madison Geriatric Memory Assessment Clinic (2016 ‐2020). All patients completed the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS, Randolph, 1998, 2012) as part of a multidisciplinary evaluation. Patients were referred for a sleep evaluation if sleep disordered breathing was reported and the score difference was noted with immediate memory being less than delayed memory on RBANS. Sleep evaluations consisted of either home sleep testing or polysomnography, based on clinical indication. Board‐certified sleep medicine physicians interpreted all sleep studies, and graded the severity of OSA as mild, moderate, or severe.ResultResults are depicted in Table 1. There were 251 patients referred for sleep evaluation (mean age 75.5 years). Of these, 158 patients completed sleep testing (93 males; 65 females), of which 127 (80.4%) were ultimately diagnosed with OSA. Among sleep study completers, 72 (57%) had moderate or worse sleep apnea. The proportion of cases with moderate or worse sleep apnea was similar for male (59%) and female (53%) completers.ConclusionThis retrospective investigation involved geriatric memory clinic patients with RBANS scores that were lower in immediate memory compared to delayed memory and evidence of snoring that resulted in a referral for a sleep study. The finding of OSA in 80% of the patients evaluated, and the comparable results of male and female patients suggests that all patients who snore and have this unique RBANS profile should be assessed for OSA.

Employability assessment of computerized fatigue avoidance tool used with and without actigraphy among naval aircrew

BackgroundFatigue Avoidance Scheduling Tool (FAST) is a computerized fatigue prevention tool, which was developed based on a Bio-mathematical model called SAPTE (Sleep, Activity, Performance and Task Effectiveness). Similarly, actigraphy technology is used as a tool for sleep evaluation. This study was an attempt to assess the employability of FAST (both independently and integrated with actigraphy) for detecting operational fatigue by determining the ‘Measures for diagnostic accuracy’. Methods103 pre-flight medical checks from 51 aircrew were evaluated to detect fatigue both clinically and by using objective measures (FAST and actigraphy integrated FAST). The ‘measures of diagnostic accuracy’ namely sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), likelihood ratio positive (LR +ve), likelihood ratio negative (LR -ve) and Youden’s Index were determined and compared. ResultsThe diagnostic measures for FAST were: sensitivity (68.4%), specificity (92.8%), PPV (68.4%), NPV (92.8%), LR+ve (9.5), LR-ve (0.34) and Youden’s Index (0.61). For actigraphy integrated FAST these values were: sensitivity (84.2%), specificity (96.4%), PPV (94.2%), NPV (94.4%), LR+ve (23.5), LR-ve (0.16) and Youden’s Index (0.80). ConclusionThe increase in sensitivity (from 68.4% to 84.2%), specificity (from 92.8% to 96.4%), PPV (from 68.4% to 94.2%), NPV (92.8% to 94.4%), LR+ve (9.5 to 23.5) and Youden’s Index (0.61 to 0.80) indicated that actigraphy integrated FAST is a better screening tool in comparison to the independently employed FAST.

Yangshimtang-gamibang Therapy for Sleep Disorder Caused by a Traffic Accident: A Case Report

This report describes the efficacy of using &lt;i&gt;Yangshimtang-gamibang&lt;/i&gt; for a sleep disorder caused by a traffic accident. We treated a patient with &lt;i&gt;Yangshimtang-gamibang&lt;/i&gt; for 12 days for sleep disorder caused by a traffic accident. To evaluate the results, we used the Korean Modified Leeds Sleep Evaluation Questionnaire (KMLSEQ) to measure sleep disorder. The degree of sleep disorder was also evaluated using the Numerical Rating Scale (NRS). The generic health status was evaluated using the European Quality of Life-5 Dimensions (EQ-5D) scale. Improvements in the NRS and EQ-5D scale scores were observed after the treatments. The change in the KMLSEQ score indicates that the patient's sleep disorder was relieved. The results of this case study suggest that &lt;i&gt;Yangshimtang-gamibang&lt;/i&gt; may be an effective treatment for sleep disorders caused by traffic accident.