Classification Of Sleep Disorders Research Articles

The Lehigh Valley Health Network narcolepsy cohort: clinical and polysomnographic analysis of 304 cases.

We aimed to characterize clinical features, comorbidities and polysomnographic characteristics of a large cohort of patients with narcolepsy. We undertook a retrospective chart and polysomnographic review of all patients with a diagnosis of narcolepsy type 1 (NT1) or narcolepsy type 2 (NT2) seen within the Lehigh Valley Health Network between 2000 and 2022. We found 304 cases with a diagnosis of narcolepsy (52 NT1, 252 NT2), based on International Classification of Sleep Disorders, third edition criteria. Compared to NT2, patients with NT1 had younger diagnosis age (24.5 versus 27.4 years, p=0.03), shorter diagnostic gap (3.0 versus 4.6 years, p=0.002), more frequent sleep paralysis (55.8% versus 19.4%, p<0.0001) and hypnagogic hallucinations (46.2% versus 25.4%, p=0.003), and higher Epworth Sleepiness Scale (ESS) scores (17.8 versus 16.7, p=0.02). The most common comorbid sleep disorders were breathing disorders (17.4%) and insomnia (15.5%). Migraine was the most common neurological disorder. Depression was more common in NT2 than NT1 [12 (23.1%) versus 94 (37.3%), p=0.05]. On the Multiple Sleep Latency Test, patients with NT1 had more sleep onset REM periods (SOREMPs) than patients with NT2 (≥3 SOREMPs in 59.2% versus 26.9%, p<0.0001). Only in NT2, hypnagogic hallucinations and higher ESS scores were associated with higher numbers of SOREMPs (p=0.0277 and p=0.0179 respectively). This is one of the largest monocentric studies to date of patients with narcolepsy and confirms the frequent comorbidities of narcolepsy. Specific clinical characteristics and comorbidities may help differentiate NT1 from NT2.

Characteristics of clinical descriptive variables and polysomnographic findings of catathrenia.

Catathrenia has been classified as a sleep-related breathing disorder variant in the third edition of the International Classification of Sleep Disorders, but its validity remains unverified. We analyzed the clinical descriptive variables and polysomnographic findings of catathrenia and discussed the similarities and differences to those of obstructive sleep apnea (OSA), non-REM parasomnias, and sleep bruxism (SB). A retrospective analysis was conducted on 47 patients diagnosed with nocturnal groaning through polysomnography. We examined sex, body mass index, age at symptom onset, weekly symptom frequency, and presence/absence of comorbidities, including OSA, periodic limb movement disorder, non-REM parasomnia, and SB. The groaning event (GE) index was calculated according to sleep position and sleep stage. The distribution of patients with catathrenia did not show sex difference (male/female = 20:27), body mass index was 20.6 ± 3.0 kg/m2, and age of onset was 18.2 ± 7.4 years. The GE index was higher in stages N1 and R than in stage N3 and in the supine position than in the lateral position. There were no cases complicated with non-REM parasomnia, but the complication of SB was observed in 30% of the participants, and SB events appeared immediately before or during the interictal period of the GE episodes in these cases. Given the clinical background, posture- and sleep stage-dependent appearance of GEs, and the relatively high complication rate of SB, catathrenia pathogenesis may be heterogeneous or comprise elements of different sleep disorders.

Classification and Evaluation of Sleep Disorders Using Random Forest Algorithm in Health and Lifestyle Dataset

Classification and Evaluation of Sleep Disorders Using Random Forest Algorithm in Health and Lifestyle Dataset

Yoga Exercises as a Therapeutic Approach for Adults with Insomnia to Promote better Sleep: A Randomized Control Trial

Background: Insomnia is a prevalent sleep disorder that significantly impacts the quality of life and is associated with various health complications, including high blood pressure, heart disease, diabetes, anxiety, and depression. Traditional treatments for insomnia often involve pharmacological interventions, but there is growing interest in alternative therapies such as yoga. This study investigates the efficacy of yoga as a therapeutic approach to improving sleep quality in adults with insomnia. Objective: The objective of this study was to evaluate the effects of a structured yoga program on sleep quality and sleep latency in adults diagnosed with insomnia. Methods: The study employed a cross-sectional design conducted at multiple healthcare facilities, including the Physiotherapy Outpatient Department at Holy Family Hospital, Benazir Bhutto Hospital, and District Headquarters Hospital in Rawalpindi. The study duration was four months, involving 54 participants selected through random sampling techniques. Inclusion criteria included adults aged 18 to 65 years diagnosed with insomnia according to the International Classification of Sleep Disorders (ICSD) or the Diagnostic and Statistical Manual of Mental Disorders (DSM). Exclusion criteria included severe medical or psychiatric disorders, substance abuse, pregnancy, or recent changes in sleep medication. Participants in the intervention group engaged in a standardized yoga program consisting of gentle yoga postures, controlled breathing techniques, and mindfulness meditation, conducted twice weekly for eight weeks, with each session lasting 60 minutes. The control group received standard care for insomnia. Data collection involved subjective assessments of sleep quality using validated questionnaires and objective measures through polysomnography. Statistical analysis was performed using SPSS version 25.0, with independent sample t-tests comparing means between groups and repeated measures ANOVA for within-group analysis. Results: The yoga group showed significant improvements in subjective sleep quality and sleep latency. The mean sleep quality score improved from 2.18 ± 0.66 pre-intervention to 0.92 ± 0.37 post-intervention (p=0.0001), while the control group showed a less marked improvement from 2.37 ± 0.48 to 2.03 ± 0.18 (p=0.0012). Sleep latency in the yoga group decreased from 3.00 ± 0.00 to 1.29 ± 0.40 (p=0.0002), whereas the control group showed a reduction from 2.44 ± 0.49 to 2.11 ± 0.31 (p=0.0013). ANOVA results confirmed the statistical significance of these findings, with an F-value of 69.897 for sleep quality (p=0.0001) and 361.947 for sleep latency (p=0.0002). Conclusion: The findings indicate that a structured yoga program significantly improves sleep quality and reduces sleep latency in adults with insomnia. Yoga appears to be an effective non-pharmacological intervention for managing insomnia, offering a viable alternative to traditional treatments.

Prevalence of insomnia in a general adult population cohort using different diagnostic criteria: The seventh survey of the Tromsø study 2015–2016

Insomnia disorder is a subjective complaint of sleep dissatisfaction including both night-time and daytime symptoms. Currently there are three commonly used diagnostic manuals each with their own set of criteria, which is often credited for the wide range in insomnia prevalence reported by population-based studies, especially those with self-reported insomnia. However, there are limited studies directly comparing different criteria and little is known about associations with health outcomes. Thus, the aim of this study was to compare the most commonly used diagnostic criteria for insomnia from the literature and to explore the associations with a range of physical and mental health outcomes. We used data from 21,083 women and men from the seventh survey of the population-based Tromsø Study which included adults aged 40–99 years. A revised version of the Bergen Insomnia Scale was used to define insomnia based on the 4th (revised) and 5th edition of Diagnostic and Statistical Manual of Mental Disorders (DSM-IV-TR and DSM5), the 10th edition of the International Classification of Diseases (ICD-10), and the 3rd edition of the International Classification of Sleep Disorders (ICSD-3). We found the following prevalence of insomnia: DSM-IV-TR 23.6 %, DSM5 8.5 %, ICD-10 9.9 % and ICSD-3 20.0 %. When looking at each symptom, we found over half the participants classified as having insomnia using the DSM-IV-TR and ICSD-3 criteria did not report having impaired daytime functioning at least three days per week. Overall, participants with DSM5 and ICD-10 insomnia appeared to have worse health profiles, based on a higher percentage meeting the cut-off for possible anxiety or depression, reporting a psychological problem or chronic pain, and using antidepressants, painkillers or sleeping pills. However logistic regression models showed largely the same health factors had the same association with the odds for being classified as having insomnia disorder from each set of criteria. Overall, this study suggests that insomnia prevalence may be overestimated if daytime symptoms are not adequately included in accordance with current guidelines.

Sleep help-seeking behavior of parents with children with insomnia—what counts!

Abstract Background Insomnia in children is common and causes many mental health problems. Nevertheless, only little is known about influencing factors for sleep help-seeking behavior of parents with children with insomnia. Objective The aim of this study was to evaluate the duration and severity of insomnia in children as well as to assess the influence of additional mental disorders on insomnia duration and severity. The influence of a child’s insomnia duration and severity on parental sleep help-seeking behavior was examined. Materials and methods Patients at three German outpatient sleep clinics were evaluated. A self-developed parental sleep interview according to the third edition of the International Classification of Sleep Disorders (ICSD-3) criteria was conducted for each child. Additionally, information about insomnia severity and duration, the number of sleep help-seeking efforts, and mental disorders were retrieved from the family registration form. Results A total of 175 children (4–11 years) with a mean insomnia duration of 54 months were included. Insomnia severity was high, with no differences between children with and without comorbid mental disorders. Most parents (88.6%) had made efforts to seek sleep-related help for their child’s insomnia before contacting one of our outpatient sleep clinics. Pediatricians are the most frequently consulted professionals for child sleep problems. Insomnia severity ratings significantly correlated with the number of times professional help had been sought, but not with the number of self-help efforts. Insomnia duration was not correlated with any of the help-seeking measures. Conclusion Insomnia severity, but not insomnia duration, is associated with help-seeking behavior in parents. In the current sample, most parents sought professional help from their pediatrician beside their own efforts to elicit change. In sum, there were no differences between children with and without comorbid mental disorders, neither in terms of insomnia duration nor for insomnia severity. It seems necessary to promote awareness of the consequences of insomnia in children and therefore support earlier parental help-seeking behavior.

Exploring sleep characteristics in Chinese patients with narcolepsy: insights from the nocturnal sleep onset rapid eye movement period (nSOREMP).

This study aimed to investigate the unique characteristics and clinical significance of the nocturnal sleep onset rapid eye movement period (nSOREMP) in the Chinese population with narcolepsy, enhancing our understanding and management of the disorder globally. This retrospective analysis investigated narcolepsy in Chinese patients from six hospitals, using the International Classification of Sleep Disorders. A parallel retrospective analysis of the Chinese Clinical Sleep Database focused on polysomnography records was conducted to evaluate nSOREMP prevalence in other sleep disorders. The study found a 2.51% nSOREMP prevalence in other sleep disorders in the Chinese Clinical Sleep Database. Significant differences in age, N2 and rapid eye movement percentages, rapid eye movement latency, and various indexes were noted among patients with narcolepsy with or without nSOREMP and other sleep disorders with nSOREMP in the Chinese Clinical Sleep Database. nSOREMP prevalence in narcolepsy type 1 was 33.33% and in narcolepsy type 2 was 28.30%. Noteworthy disparities in narcolepsy type 1 included N2 percentages, rapid eye movement latency, and SOREMPs on Multiple Sleep Latency Test. In narcolepsy type 2, differences were significant for age, sleep latency, N2 and rapid eye movement latencies, arousal index, mean sleep latency on the Multiple Sleep Latency Test, and Multiple Sleep Latency Test SOREMPs. This study highlights the distinct characteristics of nSOREMP in the Chinese population. Patients exhibiting symptoms suggestive of the onset of narcolepsy are advised to undergo a Multiple Sleep Latency Test, irrespective of the occurrence of SOREMP during nocturnal polysomnography. Zeng S, Feng F, Li W, etal. Exploring sleep characteristics in Chinese patients with narcolepsy: insights from the nocturnal sleep onset rapid eye movement period (nSOREMP). J Clin Sleep Med. 2024;20(8):1349-1355.

Sleep disorders in patients with medication-overuse headache

To analyze complaints about sleep disorders and assess the incidence of various sleep disorders, using relevant scales, in patients with medication-overuse headache (MOH) in comparison with patients without MOH. The prospective case-control study included 171 patients, aged 18 years and older, with MOH (main group), and173 patients with primary headaches without MOH (control group). A neurologist conducted an initial examination and professional interview before the start of treatment. To diagnose sleep disorders, the International Classification of Sleep Disorders (3rd edition, 2014) was used. Additionally, an assessment was made using the Insomnia Severity Index Scale, the Epworth Sleepiness Scale (ESS) and the Lausanne Obstructive Sleep Apnea Syndrome Scale (NoSAS). Statistically significant differences were revealed in the prevalence of the following complaints about sleep disorders in patients with MOH: lack of sleep (51.5%), frequent awakenings during sleep (43.3%), discomfort in legs before falling asleep or at rest in the evening (37.4%). Difficulties falling asleep occurred equally often in both patients with MOH (43.9%) and without MOH (37.0%), as well as daytime sleepiness (40.4% vs 36.4%) and the presence of snoring (13% of patients in each group). Patients with MOH were significantly more likely to suffer from chronic insomnia (60.2% and 47.4%, respectively, p=0.02; OR 1.7; 95% CI 1.1-2.6) and restless legs syndrome (37.4% and 22.0%, respectively, p=0.002; OR 2.1; 95% CI 1.3-3.4). The incidence of hypersomnia and obstructive sleep apnea syndrome did not have statistically significant differences. Patients with MOH compared to patients without MOH have a significantly higher incidence of main complaints of sleep disorders, chronic insomnia and restless legs syndrome, which indicates the importance of sleep disorders in the pathogenesis of medication-overuse headaches and requires timely diagnosis and treatment to prevent the progression of both headaches and sleep disorders.

Applying Machine Learning Algorithms for the Classification of Sleep Disorders

Applying Machine Learning Algorithms for the Classification of Sleep Disorders

Psychometric properties of the Japanese version of the Insomnia Catastrophizing Scale and relationship of insomnia severity with catastrophic thoughts, safety behaviors, and dysfunctional beliefs

BackgroundThis study aimed to clarify the reliability and validity of the Japanese version of the Insomnia Catastrophizing Scale (ICS) and to examine the relationship between insomnia severity and insomnia-related cognitive factors. MethodsA total of 786 participants were recruited via an online survey and classified into the insomnia group (n = 342) and healthy group (n = 444). The insomnia group comprised individuals who self-reported meeting the diagnostic criteria for chronic insomnia disorder in the third edition of the International Classification of Sleep Disorders. ResultsThe ICS is used to independently assess nighttime (ICS–N) and daytime (ICS-D) catastrophic thoughts, and item response theory revealed that each ICS-N and ICS-D item can adequately assess catastrophic thoughts during the night and day, respectively. The internal consistency and test-retest reliability of the ICS-N and ICS-D were good. Further, the ICS-N and ICS-D had a significant positive correlation with insomnia severity, hyperarousal, sleep-related safety behaviors, dysfunctional beliefs about sleep, and anxiety symptoms. Multiple regression analyses with insomnia severity as the dependent variable in the insomnia group demonstrated that catastrophic thoughts were more strongly associated with insomnia severity than sleep-related safety behaviors and dysfunctional beliefs about sleep. The interaction between nighttime catastrophic thoughts and sleep-related safety behaviors increased insomnia severity. ConclusionsThe Japanese versions of ICS-N and ICS-D were found to be superior in measuring insomnia-related catastrophic thoughts and to have high reliability and validity. Furthermore, these findings more clearly demonstrate that the catastrophic thoughts may be an important associated factor of insomnia.

INDICADORES DO ESTILO DE VIDA DE SOLDADOS E CABOS DA POLÍCIA MILITAR DO MUNICÍPIO DE VITÓRIA-ES

Introduction: The lifestyle of military personnel can increase the risk of disease. Lifestyle can be considered a way of life involving values, choices, daily practices, forms of consumption, leisure habits, work, religion and socializing, expressing the characteristics of an individual or group, and can increase the risk of disease in military officers. Objective: This study aimed to compare the lifestyles of military police soldiers and corporals in the municipality of Vitória-ES. Materials and methods: 29 military police officers, 14 soldiers, and 15 corporals, had their lifestyles assessed using the Fantastic Lifestyle questionnaire, which included family and friends, physical activity, nutrition, smoking and drugs, alcohol, sleep, seat belts, stress, safe sex, type of behavior, introspection and work. Sleep quality was also assessed, by the Pittsburgh Sleep Quality Scale involving sleep factors such as subjective quality, latency, duration, habitual efficiency, disorders, use of sleep medication, and daytime dysfunction, as well as the classification of poor sleep quality, sleep disorders, and quality. Results: Corporals were found to have higher body mass (p= 0.012), BMI (p= 0.039), and length of service (p= 0.001). As for lifestyle, there was a difference (p= 0.025) in nutrition, with 43% of the soldiers being very good and 60% of the corporals being good. In terms of sleep quality, 60% of the soldiers had poor sleep quality and 40% of the corporals had some kind of sleep disorder. Conclusion: Corporals had higher body mass, BMI, and sleep disorders, while soldiers had poor sleep quality. Level of Evidence III; Study of Non-Consecutive Patients, without Uniformly Applied “Gold” Reference Standard.

A Narrative Review of the Clinical Trials in Sleep-Related Breathing Disorders from 2022 to Present.

Sleep-related breathing disorders (SRBD) comprise obstructive sleep apnea (OSA), central sleep apnea (CSA), obesity-hypoventilation syndrome (OHS), as well as isolated sleep-related hypoxemia (ISRH), according to the recent International Classification of Sleep Disorders 3. During the last decades, there have been cumulative research reports indicating an association between the SRBD and increased cardiometabolic illness and death, as well as decreased quality of life. Notwithstanding, the results have been inconclusive, and the evidence level was not high regarding the effect of treatment for the SRBD on adverse outcomes. In the current work, we aim to give a comprehensive review of the clinical trials published from January 2022 to August 31, 2023. We highlight the heterogeneity of cardiometabolic disorders among adults with SRBD and particularly emphasize OSA management, drug therapy for OSA, positive airway pressure (PAP) therapy and cardiovascular outcomes, other effects of PAP in pregnancy and neurocognitive function, as well as the effects of surgical treatment and oral appliances. We also underline future directions in OSA management, telemonitoring, and druginduced sleep endoscopy in managing the SRBD, especially OSA. We ascertain that more studies are needed within the CSA, OHS, and ISRH research fields.

Comparison of the clinical and electrophysiological characteristics between type 1 and type 2 narcolepsy: a cross-sectional study

IntroductionNarcolepsy is a chronic brain disease characterized by excessive sleepiness and classified into two types based on the presence of cataplexy or reduced level of cerebrospinal fluid orexin-A (hypocretine-1): narcolepsy type 1 (NT1) and narcolepsy type 2 (NT2). These two types differ in symptoms other than cataplexy, as well as in certain examination findings. The present study aimed to investigate the clinical and electrophysiological characteristics of NT1 by comparing its features with those of NT2.MethodsSubjects were 118 first diagnosed and untreated patients with narcolepsy. They underwent both polysomnography (PSG) and multiple sleep latency test (MSLT) as a sleep test. Diagnosis was established in accordance with International Classification of Sleep Disorders, Third Edition, and the type of narcolepsy was determined by the presence or absence of cataplexy, patients with cataplexy were diagnosed with NT1, and without cataplexy were diagnosed with NT2. We investigated characteristics of the patients, PSG and MSLT outcomes, and applied a suite of duly statistical analysis to account for each parameter.ResultsAmong the 118 subjects, 35 patients (29.7%) were NT1, and 83 patients (70.3%) were NT2. Excessive daytime sleepiness which was measured by Japanese version of Epworth sleepiness scale (JESS) was significantly higher in NT1 than NT2. Furthermore, the presence of sleep hallucination (n = 29, 82.9%), sleep paralysis (n = 18, 51.4%), difficult maintaining sleep (n = 22, 62.9%), and sleep related movement and behavior disorders (n = 7, 20.0%) were significantly higher in NT1 than those in NT2. Additionally, parameters indicative of sleep fragmentation, such as the arousal index and wake time after sleep onset measured in PSG, exhibited a statistically significant increase in NT1 when contrasted with NT2.ConclusionsFragmentation of nocturnal sleep which is explained by the high arousal index and the long wake time after sleep onset on PSG was considered a characteristic finding of NT1 compared with NT2, and the patients with NT1 experienced greater difficulty of maintaining sleep. Concomitantly, the prevalence of NT1 in this study may be a representative value of the prevalence of NT1 among the patients with narcolepsy in Japan.

Treatment of insomnia in myasthenia gravis-A prospective study on non-benzodiazepine hypnotics in the treatment of myasthenia gravis patients with insomnia.

This study aimed to evaluate the efficacy and safety of non-benzodiazepine hypnotics in the treatment of myasthenia gravis (MG) patients with insomnia. This is a prospective longitudinal study. Outpatients who met the criteria for stable MG and insomnia diagnosis according to the International Classification of Sleep Disorders (third edition) were included in the study. They took a regular dose of non-benzodiazepine hypnotics (zolpidem 10 mg per night or zopiclone 7.5 mg per night) based on their own preferences. Patients received psychotherapy (including sleep health education) and were followed up for 4-5 weeks. Cases with lung diseases, respiratory disorders, or inappropriate use of hypnotic medications were excluded. The primary outcome is the difference in total Pittsburgh Sleep Quality Index (PSQI) score between baseline and the end of follow-up period. Secondary outcomes include the difference in Myasthenia Gravis Activities of Daily Living (MG-ADL) score, 7-item Generalized Anxiety Disorder Questionnaire (GAD-7), and the Patient Health Questionnaire-9 (PHQ-9) between baseline and the end of follow-up period and the safety of medication. A total of 75 MG patients with insomnia were included in this study. After 4-5 weeks of treatment, the total PSQI score and MG-ADL score were lower than baseline (p < 0.01). No patients had an increased MG-ADL score. The incidence rate of adverse events was 16.0% (12 cases), including dizziness (6 cases, 8.0%), drowsiness (3 cases, 4.0%), fatigue (2 cases, 2.7%), and nausea (1 case, 1.3%), all of which were mild. No patients had new onset breathing disorders. Non-benzodiazepine hypnotics are safe and effective for stable MG patients who need insomnia treatment.

Forensic Evaluation of a Single Episode of a Disorder of Arousal in a Sleepwalking Defense: Cognitive Function Versus Prior Clinical History.

Introduction The clinical diagnosis of disorders of arousal (DOA) is based primarily on a clinical history including amnesia for episodes. The presence of amnesia means the patient cannot provide direct evidence. In a forensic setting, when the defendant has been charged criminally with violent actions or sexual related assaults allegedly during sleep, a sleepwalking defense may be presented. As opposed to clinical history, the prosecution generally focuses on the single episode of alleged DOA that resulted in the criminal charges against the defendant. The prosecution will argue that this episode of complex behavior was not consistent with a DOA. A past history of purported episodes is not proof that a recent single episode must be a DOA. However, most sleepwalking defenses rely heavily on standard clinical evaluations despite the fact they have no direct connection with the current criminally charged episode. The International Classification of Sleep Disorders (ICSD-3) General Diagnostic Criteria C for DOAs that states "limited or no associated cognition" should be present. Recent real time studies of DOAs have shown that during DOA episodes the prefrontal cortex (PRC) is deactivated while the motor cortex remains active. Conclusion The PFC is the location of almost all executive functions including inhibition, planning, memory, and many others. Thus, when the PFC is deactivated, these higher cognitive functions are not available. The presence of higher cognitive functions during an alleged episode of DOA would be inconsistent with a deactivated PFC and thus inconsistent with generally accepted brain activity during a NREM parasomnia. This would be direct evidence that the episode could not be a DOA but occurred during wakefulness. Clinical trial No.

E12 Sleep disturbance among Juvenile idiopathic arthritis patients

Abstract Background Juvenile idiopathic arthritis (JIA) is a common pediatric condition that is often associated with chronic pain and physical disability. Moreover, it is also comorbid with sleep problems which considerably affects the patient’s daily functioning [1]. Objectives The aim of this study was to assess sleep disturbances among JIA patients. Methods We conducted a cross-sectional study including patients with JIA according to the International League of Associations for Rheumatology (ILAR). Sociodemographic data as well as disease characteristics were collected. Sleep disturbance was assessed by two questionnaires: the BEARS Sleep Screening algorithm and PROMIS sleep disturbance short form according to the age of the patients (&amp;lt;18 years old, &amp;gt;18 years old respectively). The BEARS is an instrument divided into major sleep domains: bedtime problems, excessive daytime sleepiness, awakenings during the night, regularity and duration of sleep and snoring. PROMIS is an 8-item questionnaire that assess sleep quality. A higher T score corresponds to a poorer the sleep quality. Results The study included 31 patients. The mean age of the participants was 28.67 years [9–45 years]. There was a female predominance: 35.5% males vs 64.5% females. The mean age at onset was 6.6 years [2–13] and the mean disease duration was 256.5 months [36–444]. The distribution of the different subtypes was as follows: Enthesitis-related arthritis (n = 4), RF-positive polyarthritis (n = 10), RF-negative polyarthritis (n = 6), oligoarthritis (n = 7) and systemic arthritis (n = 4). Nineteen patients were receiving corticosteroids. Disease-modifying anti-rheumatic drugs were used by 18 patients: methotrexate (n = 11), sulfasalazine (n = 3), leflunomide (n = 4), biologics (n = 13). Twelve patients developed complications: coxitis (n = 11), growth retardation (n = 9), uveitis (n = 4). The majority of the respondents (90.3%) reported using screens daily before going to sleep. Among patients aged &amp;lt;18 years, 2 had an individual bedroom while 8 shared theirs with their siblings. Among the ten patients who answered the BEARS Sleep Screening algorithm, 40% had an excessive daytime sleepiness, 20% had night awakenings and 30% suffered from a snoring problem. Regularity and duration of sleep was respected in 6 out of the 10 patients. The most common bedtime problem mentioned were refusal to go to bed (73%) as well as bedtime stalling (23%). As for the PROMIS form, the mean score was 55.52 [27–66]. None to slight, mild, moderate and severe sleep disturbance were found in 16.1%, 19.3% and 6.4% of cases respectively. There was a significant association between poor sleep quality and higher disease activity (DAS28 ESR) (P &amp;lt; 0.043). However, we did not find a significant association between the sleeping disturbances and age at onset (P = 0.08), disease duration (P = 0.073), the CHAQ score (P = 0.059), corticosteroid use (P = 0.063) and the screen use (P = 0.092). Conclusion This study highlights the high prevalence of sleep disturbance among JIA patients which may affect their physical, emotional and cognitive well-being. It is important to screen for sleep problems for a better management of the disease. [1] Owens J. Classification and epidemiology of childhood sleep disorders. Prim Care 2008; 35(3):533–46

Classification of Sleep Disorders Using Random Forest on Sleep Health and Lifestyle Dataset

This study aims to classify sleep disorders using the Random Forest method on the Sleep Health and Lifestyledataset. This dataset contains information about sleep, lifestyle, and relevant health factors. In this study, thedataset was processed and divided into training and testing subsets. The Random Forest model was trained usingthe training subset with sleep and health related features. The quality of the split in each decision tree wasmeasured using the Gini Index. The model was evaluated using the testing subset to measure its accuracy andclassification performance. The evaluation results showed that the Random Forest model was able to predictsleep disorders with good accuracy. Analysis of class distributions, correlation relationships between features,and visualization by gender provided insights into the factors that influence sleep disorders. This research has thepotential to contribute to the field of health and medicine, especially in the recognition and diagnosis of sleepdisorders.

Obstructive sleep apnea screening in different age groups: performance of the Berlin, STOP-Bang questionnaires and Epworth Sleepiness Scale

ObjectiveTo evaluate the performance of the Berlin Questionnaire, the STOP-Bang Questionnaire, and the Epworth Sleepiness Scale in screening for the disease in adults of different age groups by comparing them with polysomnography. MethodsCross-sectional study with prospective patient allocation, in which individuals underwent a medical interview, completion of the three screening instruments, and polysomnography. Individuals were categorized into three age groups: 18–39, 40–59, and ≥60 years. The results of the screening instruments were compared to the diagnostic criteria of the International Classification of Sleep Disorders—third edition. Performance was assessed using 2×2 contingency tables, estimating sensitivity, specificity, predictive value, likelihood ratio, and accuracy. Receiver Operating Characteristic curves were also constructed and the area under the curve was estimated for each instrument by age group. ResultsWe obtained a sample with 321 individuals suitable for analysis. The mean age was 50 years, with a predominance of females (56%). The prevalence of the disease in the overall sample was 79%, more prevalent in males in any age group and more frequent in the middle age group. The analyzes revealed that STOP-Bang performed better, both for the overall sample and for all age groups, followed by Berlin Questionnaire and Epworth Sleepiness Scale. ConclusionIn an outpatient setting with individuals with characteristics similar to those in this study, it seems sensible to choose the STOP-Bang as a screening tool for the disease, regardless of age group. Level of evidence according the guide for authorslevel 2.

The nature of sleep disorders and quality of life against the background of stress in patients with moderate to high cardiovascular risk

Objective — to evaluate the dynamics of sleep quality and duration, as well as quality of life after 12 months of follow‑up in patients with moderate to high cardiovascular risk against the background of stress caused by military actions.&#x0D; Materials and methods. The prospective, open, non‑placebo controlled investigation has been conducted over 12 months with participation of 87 patients with moderate to high cardiovascular risk. Women prevailed among patients (50 (57.5%)), the mean age was (59.39±12.09) years. Obesity of I degree was established in 47.1%, II degree obesity in 32.3%, III degree obesity in 11.8% of patients, and excessive body mass was registered in 8.8% of the examined subjects. There were no subjects with normal body mass. At baseline, essential hypertension of various stages was established in 58.9% of patients. All patients underwent assessment of cardiovascular risk based on Framingham scale, index of quality of life with SF‑36 «Health Status Survey» questionnaire, stress level with Perceived Stress Scale, presence of sleep disorders with the use of criteria of the International Classification of Sleep Disorders (2014), as well as measurement of anthropometric parameters.&#x0D; Results. The prevalence of stress was 100.0% with no significant difference between women (99.8%) and men (100.0%), (OR=0.96 with 95% CI 0.72—1.28). At baseline, circadian disturbances of sleep and alertness prevailed in patients (41%), while after 12 months of observation, insomnia was more common in the entire observation group (55.8%). At the end of the study, the number of patients who had difficulty falling asleep increased (from 35.3% to 81.2%, р &lt;0.05), who had difficulty maintaining uninterrupted sleep (from 38.2% to 66.6%, р &lt;0.05), who had awakening before the planned time (from 58.8% to 75.0%, р &lt;0.05), who had nausea/vomiting as a manifestation of sleep disturbance (from 17.6% to 37.5%, р &lt;0.05), who had deterioration of attention/concentration/memory (from 58.8% to 77.1%, р &lt;0.05).&#x0D; Conclusions. Against the background of chronic stress, insomnia prevailed among all sleep disorders in patients with moderate to high cardiovascular risk. As a result of the study, the significant decrease in the quality of life index from 69.7% to 43.2% has been established in this category of patients against the background of chronic stress.&#x0D;

0829 Insomnia with Objective Short Sleep Duration is Associated with Hypertension

Abstract Introduction Insomnia with objective short sleep duration (ISSD) has been proposed as the most biologically severe phenotype of the disorder associated with cardiometabolic morbidity in population-based samples. Methods In this study, we investigated the association between ISSD and hypertension in a large clinical sample. We studied 348 patients diagnosed with chronic insomnia disorder (CID) based on International Classification of Sleep Disorders (ICSD-3) criteria and 150 normal sleepers. Objective short sleep duration was defined by the median total sleep time (TST) of the sample (&amp;lt; 7 hours) measured with 1-night polysomnography. Hypertension was defined based on blood pressure (BP) levels, antihypertensive medication use and/or a physician diagnosis. Results After adjusting for potential confounders, patients with CID who slept &amp;lt; 7 hours were associated with 2.8-fold increased odds of hypertension compared to normal sleepers who slept ≥7 hours (odds ratio [OR]=2.81, 95% confidence interval [95%CI]=1.068–7.411) or &amp;lt; 7 hours (OR=2.75, 95%CI=1.005-7.542), whereas patients with CID who slept ≥ 7 hours (OR=1.52, 95%CI=0.537-4.285) or normal sleepers who slept &amp;lt; 7 hours (OR=1.07, 95%CI=0.294-3.904) were not significantly associated with increased odds of hypertension compared to normal sleepers who slept ≥ 7 hours. Linear regression analyses showed that, for every hour decrease in TST, systolic and diastolic blood pressure increased by 1.014 mmHg (p=0.045) and 0.923 mmHg (p=0.015), respectively, in patients with CID but not in normal sleepers. Conclusion Our findings further support that ISSD is a risk factor for hypertension and objective short sleep duration may be a useful marker of the biological severity of CID in clinical practice. Support (if any) This study was supported by the National Natural Science Foundation of China (81970087), Guangdong Province Science and Technology Special Fund Project (200115165870512), and the 2020 Li Ka Shing Foundation Cross-Disciplinary Research Grant (2020LKSFG05B). The authors report no conflict of interest.