Classification Of Sleep Disorders Research Articles

Forensic Evaluation of Sexsomnia.

Sexsomnia is a non-rapid eye movement parasomnic behavior characterized by sexual activity during sleep. Recognized in the most recent editions of the Diagnostic and Statistical Manual of Mental Disorders and the International Classification of Sleep Disorders, sexsomnia is likely to arise with increasing frequency in court as a potential explanation for sexual offending. The forensic psychiatrist has a unique role in the evaluation and management of sexsomnia. The psychosexual evaluation may elucidate the presence or absence of paraphilias and paraphilic disorders and identify any overlap between the alleged sexsomnic behavior and paraphilic interest. In addition, forensic psychiatrists may assess for malingered sexsomnia, provide an opinion regarding criminal responsibility, or evaluate the risk for committing future sexual offenses. Forensic psychiatrists should therefore understand basic information regarding the disorder, as well as how to conduct a psychosexual evaluation effectively in cases of alleged sexsomnia. This article describes the various considerations involved in the forensic evaluation of sexsomnia.

Temporomandibular Disorders and Their Association with Sleep Disorders in Adults: A Systematic Review

To investigate the associations between temporomandibular disorders (TMDs) and sleep disorders in adult subjects. The PubMed, Embase, Evidence-Based Medicine Reviews, and ProQuest Dissertations & Theses databases were searched for studies published in English up to September 2019. Unpublished/gray literature and reference lists of identified articles were also examined. Inclusion criteria were male and female adults, presence or absence of a TMD based on the RDC/TMD or DC/TMD criteria, presence or absence of a sleep disorder according to the International Classification of Sleep Disorders, and any of the following study designs: cross-sectional, case-control, or longitudinal. Methodologic quality assessment was conducted using the National Heart, Lung, and Blood Institute quality assessment tools. Twenty-two studies (11 cross-sectional, 9 case-control, 1 prospective cohort, and 1 mixed design) met the inclusion criteria. TMDs were assessed independently in relation to sleep bruxism (SB), obstructive sleep apnea (OSA), and sleep quality (SQ). All studies but one assessed TMDs using the RDC/TMD criteria. The relation between the TMD and the different sleep disorders was conflicting for SB and positive for OSA and SQ. Five studies were of good quality, and 17 were of fair quality. The evidence is inconclusive regarding the relationship between TMDs and SB and insufficient regarding the relationship with OSA. There is consistently fair evidence to support an association between TMD and SQ. This study highlights the need for higher-quality longitudinal studies to clarify the association between TMDs and sleep disorders.

The Arousal Disorders Questionnaire: a new and effective screening tool for confusional arousals, Sleepwalking and Sleep Terrors in epilepsy and sleep disorders units

BackgroundArousal Disorders (DoA) include Confusional Arousals, Sleepwalking and Sleep Terrors. DoA diagnosis is mainly clinical but no validated questionnaires exist for DoA screening according to the criteria of the International Classification of Sleep Disorders, Third Edition. Recently our group proposed the Arousal Disorders Questionnaire (ADQ) as a new diagnostic tool for DoA diagnosis. The objective of this study was to evaluate the diagnostic accuracy of the ADQ in a sleep and epilepsy center. MethodsOne interviewer blinded to clinical and video-polysomnographic (VPSG) data administered the ADQ to 150 patients consecutively admitted to our Sleep and Epilepsy Centers for a follow-up visit. The final diagnosis, according to VPSG recordings of at least one major episode, classified patients either with DoA (DoA group) or with other sleep-related motor behaviors confounding for DoA (nDoA group). Results47 patients (31%) composed the DoA group; 56 patients with REM sleep behavior disorder, 39 with sleep-hypermotor epilepsy, six with night eating syndrome, and two with drug-induced DoA composed the nDoA group. The ADQ had a sensitivity of 72% (95% CI: 60–82) and a specificity of 96% (95% CI: 89–98) for DoA diagnosis; excluding the items regarding consciousness and episode recall, sensitivity was 83% (95% CI: 71–90) and specificity 93% (95% CI: 86–97). ConclusionsThe ADQ showed good accuracy in screening patients with DoA in a sleep and epilepsy center setting. Diagnostic criteria related to cognition and episode recall reduced ADQ sensitivity, therefore a better definition of these criteria is required, especially in adults.

Efficacy and safety of modafinil in patients with idiopathic hypersomnia without long sleep time: a multicenter, randomized, double-blind, placebo-controlled, parallel-group comparison study

BackgroundFew treatments are available for patients with idiopathic hypersomnia (IH). Modafinil, an established treatment for narcolepsy, was tested for efficacy and safety in Japanese patients with IH without long sleep time. MethodsThis multicenter, randomized, double-blind, placebo-controlled, parallel-group comparison study was conducted at 20 institutions in Japan. Patients who met the diagnostic criteria of IH in the International Classification of Sleep Disorders (second edition) were included. The study comprised a ≥17-day observation period and a 3-week treatment period during which modafinil (200 mg) or placebo was administered orally once daily (in the morning). The primary efficacy endpoint was change in mean sleep latency on the Maintenance of Wakefulness Test (MWT). Adverse events (AEs) were also recorded to evaluate safety. ResultsIn total, 123 patients were screened and 71 were randomized to receive modafinil (N = 34) or placebo (N = 37). Patients treated with modafinil experienced a significantly prolonged mean sleep latency on the MWT at the end of the study compared with placebo (5.02 min, 95% confidence interval: 3.26–6.77 min; p < 0.001). AEs occurred in 58.8% (20/34) and 27.0% (10/37) of patients in the modafinil and placebo groups, respectively. Frequent AEs in the modafinil group were headache (n = 6), dry mouth (n = 3), and nausea (n = 3); no clinically significant AEs occurred. ConclusionModafinil was shown to be an effective and safe treatment for excessive daytime sleepiness in patients with IH without long sleep time. Clinical trial registrationJapicCTI; 142539.

Insights into the Frequency and Distinguishing Features of Sleep Disorders in Pediatric Palliative Care Incorporating a Systematic Sleep Protocol.

Currently, no concrete figures on sleep disorders and sleep characteristics in children and adolescents with life-limiting conditions (LLC) and severe neurological impairment (SNI) based on pediatric palliative care professionals’ assessment and following an official classification system such as the International Classification of Sleep Disorders (ICSD-3) exist. The ICSD-3 sleep disorders of inpatient children and adolescents with LLC and SNI (N = 70) were assessed by professionals using a recording sheet (two-year recruitment period). A systematic sleep protocol was applied to identify patients’ sleep characteristics. Of these patients, 45.6% had sleep disorders, with the majority of them experiencing two different ones. Overall, the most frequently identified disorders were Chronic Insomnia and Circadian Sleep–Wake Disorder. Patients experiencing Chronic Insomnia showed more sleep phases during the daytime and more waking phases at nighttime than those unaffected. Patients with and without a Circadian Sleep–Wake Disorder additionally differed in the length of sleep phases during the daytime. Rapid changes between wakefulness and sleep were specifically characteristic of Hypersomnia. The study provides important insights into the prevalence and characteristics of individual ICSD-3 sleep disorders in pediatric palliative care. The findings may contribute to a targeted and efficient diagnosis and therapy of distressing sleep problems in seriously ill patients.

Multiple sleep latency test and polysomnography in patients with central disorders of hypersomnolence

A multiple sleep latency test (MSLT) with occurrence of sleep onset REM periods (SOREMP) is considered one of the central diagnostic criteria for narcolepsy according to the International Classification of Sleep Disorders, but its sensitivity and specificity have been questioned. This study aims to describe MSLT and polysomnography (PSG) findings, including frequency and distribution of SOREMP during the day, in a large cohort of patients with central disorders of hypersomnolence (CDH).We retrospectively analyzed electrophysiological data from MSLT and PSG in 370 consecutive patients with narcolepsy type 1 (NT1, n = 97), type 2 (NT2, n = 31), idiopathic hypersomnia (IH, n = 48), nonorganic hypersomnia (NOH, n = 116) and insufficient sleep syndrome (ISS, n = 78).NT1 and NT2 patients had a significantly shorter mean Sleep Latency (mSL) and REM-Latency (REML) in MSLT and PSG. SOREMP occurred more frequently in narcoleptic vs. non-narcoleptic patients in MSLT and PSG. Occurrence of 3 or more SOREMP in MSLT and a SOREMP in PSG had a very high specificity and positive predictive value (98%/96% and 100% respectively), however relatively low sensitivity (65% and 45% respectively).NT1 more than NT2 patients have shorter mSL and more frequent SOREMP in MSLT and shorter SL as well as REML during nocturnal PSG. Increasing numbers of SOREMP in MSLT and especially SOREMP during PSG increase specificity on the expense of sensitivity in diagnosing narcolepsy. Therefore, frequency of SOREMP in MSLT naps and PSG can help to discriminate but not clearly separate narcoleptic from non-narcoleptic patients.

Circadian Rhythm Sleep-Wake Disorders: a Contemporary Review of Neurobiology, Treatment, and Dysregulation in Neurodegenerative Disease.

Circadian rhythms oscillate throughout a 24-h period and impact many physiological processes and aspects of daily life, including feeding behaviors, regulation of the sleep-wake cycle, and metabolic homeostasis. Misalignment between the endogenous biological clock and exogenous light-dark cycle can cause significant distress and dysfunction, and treatment aims for resynchronization with the external clock and environment. This article begins with a brief historical context of progress in the understanding of circadian rhythms, and then provides an overview of circadian neurobiology and the endogenous molecular clock. Various tools used in the diagnosis of circadian rhythm sleep-wake disorders, including sleep diaries and actigraphy monitoring, are then discussed, as are the therapeutic applications of strategically timed light therapy, melatonin, and other behavioral and pharmacological therapies including the melatonin agonist tasimelteon. Management strategies towards each major human circadian sleep-wake rhythm disorder, as outlined in the current International Classification of Sleep Disorders - Third Edition, including jet lag and shift work disorders, delayed and advanced sleep-wake phase rhythm disorders, non-24-h sleep-wake rhythm disorder, and irregular sleep-wake rhythm disorder are summarized. Last, an overview of chronotherapies and the circadian dysregulation of neurodegenerative diseases is reviewed.

Sleep-related (psychogenic) dissociative disorders as parasomnias associated with a psychiatric disorder: update on reported cases

To update the literature on the diagnostic category of sleep-related dissociative disorders (SRDDs), involving psychogenic dissociation, since the time of their inclusion in the parasomnias section of the International Classification of Sleep Disorders, second edition, in 2005; to summarize the most salient clinical and video-polysomnographic (vPSG) findings and typical clinical profile from all reported cases; and to provide the rationale for the re-inclusion of the group of SRDDs in future editions of the International Classification of Sleep Disorders. A systematic computerized literature search was conducted searching for SRDDs, nocturnal dissociative disorders, and nocturnal dissociation. Nine additional cases were identified, with sufficient clinical history and vPSG findings to justify the diagnosis of SRDDs, supplementing the 11 cases cited in the International Classification of Sleep Disorders, second edition, for a total of 20 cases. Twenty-six other cases with vPSG testing were found, with 18 cases reported in abstracts and 8 cases reported in a publication with compelling histories of SRDDs and 2 consecutive vPSG studies, but without the vPSG findings explicitly reported for any case. In more than half of all reported cases, there was objective diagnostic confirmation for SRDDs consisting of the hallmark finding of abnormal nocturnal behaviors arising from sustained electroencephalography wakefulness, or during wake-sleep transitions, without epileptiform activity. These nocturnal behaviors often replicated daytime psychogenic dissociative behaviors. A history of trauma (physical, sexual, emotional) was an almost universal finding, along with major psychopathology. All patients, except for one, had prominent histories of daytime dissociative disorders. Many of the patients were referred on account of a presumed parasomnia. Cases of SRDDs continue to be reported, often as a "parasomnia mimic," with psychogenic dissociation being clearly distinguished from physiologic sleep-wake dissociation as found in primary sleep disorders such as narcolepsy, rapid eye movement sleep behavior disorder, etc. Eleven reasons are provided for why the category of SRDDs should be re-included in future editions of the International Classification of Sleep Disorders, and in the parasomnias section.

ПРОГНОСТИЧЕСКАЯ РОЛЬ МЕЛАТОНИНА В ОЦЕНКЕ КЛИНИЧЕСКОГО ТЕЧЕНИЯ АРТЕРИАЛЬНОЙ ГИПЕРТЕНЗИИ

Background. Sleep disorders are one of the most common problems in patients with arterial hypertension (AH). Circadian blood pressure (BP) cycles are most likely associated with the regulatory influence of melatonin. However, in patients with hypertension, if melatonin production de-creases, no respective reduction of BP is noted during sleep. Aim. Analyze the quality of sleep, chronotypes, clinical, instrumental and laboratory parameters depending on urinary melatonin level (UML), to determine a prognosis for the course of AH in patients with insomnia. Materials and Methods. We examined 178 patients with AH and insomnia aged from 30 to 70 years (mean age 61.3±0.92 years). The AH diagnosis was based on 2018 ESC/ESH guidelines for the management of AH, and on Clinical guidelines of Russian Society of Cardiology – AH in adults (2020). The diagnosis of insomnia was based on the international classification of sleep disorders (2005). Using Multiple Regression Analysis, we determined the factors that influence the levels of systolic BP (SBP) and diastolic BP (DBP) in AH patients with insomnia. Results. Patients with AH and insomnia have a more severe clinical course of the disease, with frequent turning for medical help, altered BP variability, high anxiety level, high depression level and low level of the quality of life. The patients with AH and insomnia have low UML which correlated with the degree of hypertension, chronotypes, high systolic and diastolic BP, BMI, high depression and anxiety level, and low level of the quality of life in the physical and psychological aspects. Conclusion. The developed methods for calculating the levels of SBP and DBP, depending on the level of UML, body mass index, anxiety and depression level, and PSQI, allow reliable evaluation and control of the BP level in patients with AH and insomnia.

Impact of mandibular advancement device in quantitative electroencephalogram and sleep quality in mild to severe obstructive sleep apnea

Sleep related breathing disorders (SRBD) are among seven well-established major categories of sleep disorders defined in the third edition of The International Classification of Sleep Disorders (ICSD-3), and Obstructive Sleep Apnea (OSA) is the most common SRBD [1,2].

Klasifikasi Gangguan Tidur REM Behaviour Disorder Berdasarkan Sinyal EEG menggunakan Machine Learning

REM Behavior Disorder (RBD) is a sleep disorder characterized by the loss of normal muscle atony (loss of paralysis) during Rapid Eye Movement (REM) sleep, where sufferers act on dreams that can result in physical injury to individuals or their sleep partners. REM is a sleep stage characterized by cessation of eye movement, a decrease in body temperature, slow heart rate and no muscle activity in several parts of the body. One of the methods used to detect RBD is Electroencephalography (EEG). EEG is a method of recording or capturing electrical activity in the brain. The dataset used was sourced from PhysioNet.org which consisted of 2 classes, namely normal class and RBD class which were taken from 26 subjects with 6 normal subjects and 20 RBD subjects. This research was conducted to classify RBD sleep disorders based on EEG signals using the ELM algorithm and it is expected to determine the best algorithm for classifying RBD sleep disorders using the ELM algorithm which will be compared with the SVM and backpropagation algorithms based on the EEG signal in terms of the resulting accuracy value and also the time required. to create a model in the algorithm classification process. Classification of RBD sleep disorders based on EEG signals begins with data pre-processing, feature extraction and classification. Data pre-processing includes signal splitting per 30 seconds and data smoothing. The feature extraction process uses Discrete Wavelet Transformation. The RBD classification process based on EEG signals uses the Extreme Learning Machine (ELM) algorithm with the binary sigmoid activation function. Prior to the training process on the ELM algorithm, undersampling was first carried out to overcome the imbalance in the number of classes. Evaluation of the classification results is done by using k-fold cross-validation. The classification results of RBD sleep disorders based on EEG signals using the ELM algorithm show that the ELM algorithm can classify RBD and non-RBD sleep disorders based on EEG signals with an average accuracy value of 70.71% ± 5.44. The comparison result states that the backpropagation algorithm has the best average accuracy in RBD classification based on EEG signals, reaching 83.81% ± 1.40. However, based on the computation of time, the ELM algorithm is superior in the speed of the RBD classification process based on EEG signals, reaching 0.04 ± 0.06 seconds compared to the Support Vector Machine (SVM) algorithm and backpropagation.

Prevalence of Insomnia in an Oncology Patient Population: An Irish Tertiary Referral Center Experience

Background:The NCCN Guidelines for Survivorship recommend dedicated sleep assessment. Reported insomnia prevalence in the general Irish population is 6% to 15%. Reported insomnia prevalence internationally among new/recently diagnosed patients with cancer varies from 30.9% to 54.3%. Insomnia prevalence has not been previously quantified in an Irish oncology cohort.Methods:A 40-item questionnaire was prospectively administered to ambulatory patients with cancer aged ≥18 years. Prespecified criteria to define insomnia syndrome combined those of theInternational Classification of Sleep Disorders, version 1, and theDiagnostic and Statistical Manual of Mental Disorders, Fourth Edition(DSM-IV). The Hospital Anxiety and Depression Scale-Depression/Anxiety (HADS-D/A) was used to screen for potential confounding variables.Results:The response rate to the questionnaire was 87% (294/337). The predominant respondent age group was 55 to 64 years (26%; 77/294), 70.7% were female (208/294), and the most common cancer subtypes were breast (37.4%), colorectal (12.9%), and lung (12.2%). A total of 62% (183/294) of patients reported sleep disturbance after diagnosis, 63% (115/183) reported moderate/severe distress related to this disturbance, and 37% (61/183) reported a significant impact on physical function. Although 33% (98/294) met insomnia syndrome criteria, only 34% (33/98) of these patients had a preexisting history of sleep disturbance. Female sex, age &lt;65 years, cancer subtype, alcohol consumption, and HADS-D/A ≥11 were associated with statistically significant higher odds ratios (OR) of insomnia syndrome. Multivariate analysis identified breast cancer (OR, 3.17;P=.01), age &lt;65 years (OR, 1.8;P=.03), and alcohol consumption (OR, 2.3;P=.005) as independent predictors of insomnia syndrome.Conclusions:Insomnia syndrome prevalence in this cohort is comparable to that reported previously and supports dedicated sleep assessment. This study identifies potentially modifiable risk factors for insomnia and demonstrates additional utility of the HADS score in identifying patients at risk.

Predictive ability of the International Classification of Sleep Disorders-3 in identifying risk of obstructive sleep apnea among recently unemployed adults.

The International Classification of Sleep Disorders (ICSD)-3 was developed to aid in the identification of these disorders. The core criterion A (ICSD-3A) to identify obstructive sleep apnea (OSA) requires the presentence of specific signs and symptoms. This study explores the predictive ability of the ICSD-3A for OSA as compared with objective measures of respiratory event index (REI). A total of 291 participants who completed a home sleep apnea test (HSAT) during the screening evaluation of the Assessing Daily Activity Patterns through occupational Transitions (ADAPT) study were included. Participants were classified as having mild OSA (REI ≥ 5 and < 15), moderate (≥ 15 to < 30), or severe OSA (> 30). Predictive parameters identifying participants as having OSA by the ICSD-3A criteria were assessed using REI classifications as the reference standard and further compared with a subsample using the STOP-Bang questionnaire. The ICSD-3A had a sensitivity of 19.2% for identifying participants as having moderate to severe OSA and specificity of 84.4%. The ICSD-3A had a receiver operating characteristics (ROC) = 0.53. On the subsample of participants, the STOP-Bang questionnaire's ROC is 0.61. Results were similar when examining the classification of participants with mild compared with no OSA. In this population, the ability of the ICSD-3A in detecting moderate to severe OSA as well as mild OSA was low. The ROC for the ICSD-3 did not differ significantly from the STOP-Bang questionnaire's ROC in this research population.

Effect of depression, anxiety, and stress symptoms on response to cognitive behavioral therapy for insomnia in patients with comorbid insomnia and sleep apnea: a randomized controlled trial.

Patients with comorbid insomnia and sleep apnea (COMISA) report increased severity of depression, anxiety, and stress symptoms compared to patients with either insomnia or sleep apnea alone. Although cognitive behavioral therapy for insomnia (CBTi) is an effective treatment for COMISA, previous research suggests a reduced response to CBTi by patients with insomnia and depression, anxiety, and stress symptoms. Therefore, we used randomized controlled trial data to investigate the impact of depression, anxiety, and stress symptoms before treatment on changes in insomnia after CBTi vs control in patients with COMISA. 145 patients with COMISA (insomnia as defined by the International Classification of Sleep Disorders, third edition and apnea-hypopnea index ≥ 15 events/h) were randomized to CBTi (n = 72) or no-treatment control (n = 73). One-week sleep diaries and standardized questionnaire measures of insomnia, sleepiness, fatigue, depression, anxiety, and stress were completed pretreatment and posttreatment. Mixed models were used to examine interactions between depression, anxiety, and stress symptoms before treatment, intervention-group (CBTi, control), and time (pretreatment, posttreatment) on insomnia symptoms. Approximately half of this COMISA sample reported at least mild symptoms of depression (57%), anxiety (53%), and stress (48%) before treatment. Patients reporting greater depression, anxiety, and stress symptoms before treatment also reported increased severity of insomnia, daytime fatigue, and sleepiness. Improvements in questionnaire and diary-measured insomnia symptoms improved during CBTi and were not moderated by severity of depression, anxiety, or stress symptoms before treatment (all interaction P ≥ .11). We found no evidence that symptoms of depression, anxiety, or stress impair the effectiveness of CBTi in improving insomnia symptoms in patients with COMISA. Patients with COMISA and comorbid symptoms of depression, anxiety, and stress should be referred for CBTi to treat insomnia and improve subsequent management of their obstructive sleep apnea. Registry: Australian New Zealand Clinical Trials Registry; Name: Treating comorbid insomnia with obstructive sleep apnea (COMISA) study: A new treatment strategy for patients with combined insomnia and sleep apnea; URL: https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=365184; Identifier: ACTRN12613001178730.

Classification and Epidemiology of Sleep Disorders in Children and Adolescents.

Sleep disturbances are common in children and adolescents but still remain unrecognized and undertreated. Several classification systems of sleep disorders are available, which include recent attempts to develop more specific nosologic categories that reflect developmental aspects of sleep. The prevalence of sleep disorders has been studied across various samples of healthy, typically developing children and those with special medical, psychiatric, and neurodevelopmental needs. Sleep disorders are highly prevalent in children and adolescents with psychiatric disorders, making it important for mental health professionals to be aware of sleep problems and to address them in the context of psychiatric comorbidities.

Delayed sleep–wake phase disorder in young adults: prevalence and correlates from a national survey of Norwegian university students

BackgroundDelayed sleep–wake phase disorder (DSWPD) during adolescence has been linked to impaired health and poor functioning. However there is a dearth of knowledge about DSWPD in young adulthood. We seek to contribute knowledge on the prevalence and correlates of DSWPD in this age group. MethodsData were drawn from a 2018 national survey of students in higher education in Norway (the SHoT-study). All 162,512 fulltime students in Norway were invited to participate and 50,054 students (69.1% women) aged 18–35 years were included (response rate = 30.8%). DSWPD was assessed by self-report, and was operationalized according to the criteria for DSWPD in the most recent edition of the International Classification of Sleep Disorders. Correlates of DSWPD were examined by validated self-report instruments covering a wide range of demographic and health domains. ResultsThe overall prevalence of DSWPD was 3.3%, and significantly higher in male (4.7%) than female (2.7%) students. DSWPD was associated with being single, having financial difficulties, having divorced parents, being overweight/obese, and physical inactivity. Students with DSWPD had more sleep problems during weekdays, and higher levels of somatic and mental health problems. Students with DSWPD also had an elevated risk of self-harm-related thoughts and behaviors as well as suicidality. ConclusionDSWPD remains a significant problem among young adults, and the high symptom load across health domains indicates that suggests a need for existing evidence-based approaches to be scaled for college students who present with DSWPD.

The European Portuguese version of the insomnia severity index.

Insomnia is the most prevalent sleep complaint, but remains largely an unidentified public health issue. The Insomnia Severity Index (ISI) is a brief self-report questionnaire to assess insomnia, long-established both in clinical and research settings. The present study aimed to analyse the reliability, validity, and accuracy of the ISI European Portuguese version. After the translation protocol, 1,274 participants (65.54% female), with a mean (SD, range) age of 37.52(16.82, 18-95)years, completed the ISI. This sample included 250 patients with insomnia from a Sleep Medicine Centre, presenting a diagnosis of insomnia disorder (Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition; International Classification of Sleep Disorders, Third Edition), and 1,024 individuals from the community. A group of 30 patients with obstructive sleep apnea (OSA) was also recruited. Cronbach's α was 0.88 (internal consistency), and corrected item-total correlations ranged from 0.56 to 0.83. An exploratory factor analysis (oblique rotation) revealed a two-factor solution for both clinical and community samples. The ISI total score significantly differentiated insomnia disorder, no insomnia, and OSA subgroups with a large effect size (η 2 =0.42). The correlation between ISI and Pittsburgh Sleep Quality Index supported concurrent validity (0.82), and discriminant validity was confirmed by a moderate correlation between ISI and Beck Depression Inventory Second Edition (0.32). The area under the curve was 0.88, and the optimal cut-off to detect clinical insomnia was 14 (82.1% sensitivity, 79.5% specificity). In conclusion, the Portuguese version of the ISI is a reliable and valid measure of insomnia in clinical and non-clinical populations. Our present study also contributes to relevant data for the international literature regarding the cut-off score of the scale for the detection of clinical insomnia.

The influence of opioids and nonopioid central nervous system active medications on central sleep apnea: a case-control study.

Opioids are known to contribute to central sleep apnea (CSA), but the influence of nonopioid central nervous system active medications (CNSAMs) on CSA remains unclear. In light of the hypothesized impact of nonopioid CNSAMs on respiration, we examined the relationships between the use of opioids only, nonopioid CNSAMs alone, and their combination with CSA. Among all adults who underwent polysomnography testing at the University of Michigan's sleep laboratory between 2013 and 2018 (n = 10,606), we identified 212 CSA cases and randomly selected 300 controls. Participants were classified into four groups based on their medication use: opioids alone, nonopioid CNSAMs only, their combination, and a reference group, including those who did not use any of these medications. We defined CSA as a binary outcome and as a continuous variable using central apnea index data. Logistic and linear regression were used to examine associations between medication use, CSA diagnosis, and central apnea index. Study participants included 58% men, and mean age was 50 (± 14 standard deviation years. Nearly half of the study participants did not use opioids or nonopioid CNSAMs, 6% used opioids alone, 27% nonopioid CNSAMs alone, and 16% used a combination of these medications. In adjusted analyses, opioids-only users had a nearly twofold increase in CSA odds, whereas those who used a combination of opioids and nonopioid CNSAMs had fivefold higher odds of CSA relative to the reference group. In contrast, the use of nonopioid CNSAMs alone had protective associations with CSA. This report showed increased odds of CSA, particularly among patients with sleep complaints who were prescribed opioids in combination with nonopioid CNSAMs compared with those who did not use any of these medications.

Insomnia is less prevalent and less severe, independent of depressive symptoms, in patients with epilepsy treated with perampanel as an adjuvant

PurposeThe potential benefit of perampanel for sleep disturbances is unknown. This study determined whether insomnia is less prevalent and less severe in patients with epilepsy (PWE) who take perampanel as an adjuvant. MethodsThis cross-sectional study was conducted in adults with epilepsy. Insomnia in patients treated or not treated with perampanel was diagnosed according to the criteria of the International Classification of Sleep Disorders, the third edition (ICSD-3) and the Insomnia Severity Index (ISI). Patients were also scored on the Epworth Sleepiness Scale (ESS), Patient Health Questionnaire-9 (PHQ-9), and Generalized Anxiety Disorder-7 (GAD-7), and the groups were compared by stepwise linear or logistic regression analyses. ResultsOne hundred and twenty-six PWE were included in the study: 31 patients (24.6%) were taking perampanel. Insomnia was diagnosed in 15.9% and 20.6% of all patients according to the ICSD-3 and an ISI score of ≥15, respectively. Agreement between the two diagnostic methods was moderate (Cohen's kappa, 0.470). In a stepwise logistic regression model, insomnia diagnosed by either method was negatively associated with perampanel use (P<0.05) but positively correlated with depressive symptoms, anxiety, and duration of epilepsy. In a stepwise linear regression model, ISI scores correlated negatively with perampanel use (P=0.004) but positively with depressive symptoms (P<0.001) and anxiety (P=0.001). ConclusionsInsomnia is less prevalent and less severe in PWE treated with perampanel independent of depressive symptoms, which will be helpful for treating PWE and comorbid sleep disturbances.

Catathrenia Presenting as Excessive Daytime Sleepiness

Catathrenia is a rare condition and corresponds to the identification of a deep inspiration followed by a prolonged and monotone groaning, usually occurring on rapid eye movement (REM) sleep. Although it’s clinical relevance is still uncertain. In this report, the authors describe a case of catathrenia presenting with excessive daytime sleepiness and nonrestoring sleep that was interfering with work performance as well as martial life. This condition was successfully treated with Positive Airway Pressure (PAP) despite the lack of diagnosis of Obstructive Sleep Apnea (OSA) by correction of sleep fragmentation. Treatment with PAP is well established when catathrenia is associated with OSA but is unclear if no other sleep disorder is present. In the last International Classification of Sleep Disorders, catathrenia has been classified as an isolated symptom, however in this patient, the magnitude of repercussion on her daily life might suggest the need for a recategorization. We hypothesize that the pathophysiologic mechanism is related to upper airway ventilatory instability due to a high arousal index and that secondary sleep fragmentation explains excessive daytime somnolence and fatigue that are reversed with PAP treatment.