ABSTRACT
Objectives@#In South Korea, a significant number of patients with obstructive sleep apnea have benefited from the insured continuous positive pressure for sleep apnea as of 2018. However, there is limited information on public awareness of sleep apnea syndrome in the country. A nationwide survey was conducted to evaluate the current status of public awareness on the diagnosis and treatment of sleep apnea. @*Methods@#We conducted an online survey using structured questionnaires on symptoms and knowledge of diagnosis and treatment modalities for sleep apnea. A total of 4,000 participants aged 21 to 69 were proportionally allocated according to the residential area, gender, and age group. @*Results@#The STOP questionnaire, a screening tool for sleep apnea, revealed that 1,044 (21.6%) scored ≥2 points, 327 (8.1%) scored ≥3 points, and 64 (1.6%) scored 4 points. However, only 19 of the 1,044 patients were being treated for sleep apnea, and 13 had been using continuous positive airway pressure. For the diagnosis of sleep apnea, 1,318 participants (33.0%) responded that polysomnography was necessary. For sleep apnea treatment, 1,954 (48.9%) participants responded that lifestyle modification was the treatment of choice, while 1,036 (25.9%) chose continuous positive pressure. @*Conclusions@#Although one-fifth were at high risk for sleep apnea, this disorder is still underestimated. Therefore, publicity and support are needed to improve public awareness of sleep apnea.
ABSTRACT
Objectives@#Clinicians often depend on the results of the the multiple sleep latency test (MSLT) for diagnosing narcolepsy, but the diagnosis can be confusing when there is a co-existence of obstructive sleep apnea (OSA). This study is aimed to address the diagnostic tendency and the strategies of treatment for narcolepsy and other hypersomnia in the grey zone. @*Methods@#We performed a web-based survey of Korean neurologists who were interested in narcolepsy and had experience with sleep studies. @*Results@#The results of this survey present their concerns according to the severity of comorbid OSA in analyzing the results of the MSLT. @*Conclusions@#This study also might help by providing the opinions of experienced Korean neurologists for the assessment and management of excessive daytime sleepiness.
ABSTRACT
Obstructive sleep apnea (OSA) is known to be associated with various health concerns, including sleepiness, fatigue, cognitive dysfunction, diminished quality of life, hypertension, cardiovascular diseases, and stroke. OSA-induced sleepiness at the wheel reduces vigilance and driving performance, which significantly increase the risk of motor vehicle accidents. Sleepiness-induced motor vehicle accidents are characterized by high morbidity and mortality. OSA is a well-established significant risk factor for drowsy driving-related motor vehicle accidents, which can be prevented through appropriate treatment. However, currently no clinical guidelines or regulations are available for evaluation or management of the risk of motor vehicle accidents in patients with OSA in Korea. In this review, we discuss the risk of motor vehicle accidents in patients with OSA, the effects of positive airway pressure therapy as a preventive measure to reduce this risk, and the published recommendations for OSA in other countries with regard to fitness to drive. We propose recommendations for screening, evaluation, and treatment of OSA with regard to the risk of motor vehicle accidents, which would serve as useful practical guidelines for sleep specialists in clinical practice. Further research is warranted to establish optimal strategies for effective improvements in OSA-related traffic safety.
ABSTRACT
Narcolepsy is a chronic sleep disorder characterized by irresistible sleep attacks, hypersomnolence, cataplexy (sudden loss of muscle tone provoked by emotion), and sleep paralysis. Individuals with narcolepsy are at a high risk of experiencing sleepiness while driving leading to road traffic accidents. To prevent such accidents, some countries have regulations for commercial and noncommercial drivers with narcolepsy. Evaluating sleepiness is essential. Therefore, several subjective reports and objective tests were used to predict the possibility of car crashes or near-misses. Brain stimulants are effective in treating narcolepsy and can reduce daytime sleepiness in these patients. However, no guideline has been established for the driving safety of patients with narcolepsy in Korea. The Korean Sleep Research Society has prepared this proposal for preventing motor vehicle accidents caused by drowsy driving in patients with narcolepsy.
ABSTRACT
Although genetic Creutzfeldt-Jakob disease (CJD) is a rare neurodegenerative disorder, cases of genetic CJD with E200K mutation are being increasingly reported in Korea. However, the clinical features and course of genetic CJD with E200K mutation in Korea remain unclear. We describe the clinical features and course of genetic CJD with E200K mutation in a patient who initially presented with rapid progressive memory impairment and myoclonus.
ABSTRACT
Driving is a complicated process that demands coordination between a range of neurocognitive functions, including attention, visuo-perception, and appropriate judgment, as well as sensory and motor responses. Therefore, several factors may reduce the driving performance of an individual, such as sleepiness, distraction, overspeeding, alcohol consumption, and sedative drugs, all of which increase the hazard of motor vehicle accidents. Among them, drowsy driving is a major cause of traffic accidents, leading to more serious injuries as compared to other causes of major traffic accidents. Although sleep disorders have been highly associated among drowsy drivers, they are often untreated and unrecognized as a disease. In particular, obstructive sleep apnea and narcolepsy are some sleep disorders that are highly related to traffic accidents. Insomnia, which can cause inadequate sleep duration and promote sedative effects from sleeping pills, may also cause traffic accidents. These conditions are especially applicable to commercial bus or truck drivers, nocturnal workers, and shift workers, who are highly vulnerable to drowsy driving. Therefore, assertive screening and management of sleep disorders are necessary in general private drivers and relevant occupational drivers.
ABSTRACT
Although genetic Creutzfeldt-Jakob disease (CJD) is a rare neurodegenerative disorder, cases of genetic CJD with E200K mutation are being increasingly reported in Korea. However, the clinical features and course of genetic CJD with E200K mutation in Korea remain unclear. We describe the clinical features and course of genetic CJD with E200K mutation in a patient who initially presented with rapid progressive memory impairment and myoclonus.
ABSTRACT
Driving is a complicated process that demands coordination between a range of neurocognitive functions, including attention, visuo-perception, and appropriate judgment, as well as sensory and motor responses. Therefore, several factors may reduce the driving performance of an individual, such as sleepiness, distraction, overspeeding, alcohol consumption, and sedative drugs, all of which increase the hazard of motor vehicle accidents. Among them, drowsy driving is a major cause of traffic accidents, leading to more serious injuries as compared to other causes of major traffic accidents. Although sleep disorders have been highly associated among drowsy drivers, they are often untreated and unrecognized as a disease. In particular, obstructive sleep apnea and narcolepsy are some sleep disorders that are highly related to traffic accidents. Insomnia, which can cause inadequate sleep duration and promote sedative effects from sleeping pills, may also cause traffic accidents. These conditions are especially applicable to commercial bus or truck drivers, nocturnal workers, and shift workers, who are highly vulnerable to drowsy driving. Therefore, assertive screening and management of sleep disorders are necessary in general private drivers and relevant occupational drivers.
ABSTRACT
Narcolepsy is a chronic neurologic disorder characterized by excessive daytime sleepiness and cataplexy arising from dysregulation of pathway controlling the wake and sleep states. Despite advances in our understanding of the pathophysiology of narcolepsy, to date, only symptomatic treatments exist for this disease. Especially in Korea, only limited medication for narcolepsy has been available. In general, psychostimulants such as modafinil, armodafinil, and methylphenidate were prescribed to improve wakefulness, and cataplexy was managed with antidepressants. Recently many new agents has been developed and widely used in the United States and European countries. Some of those medications are expected to be available in Korea soon. Education of lifestyle modification and regular naps are also important strategy for the treatment of narcolepsy. This review summarizes briefly current and future medication, and nonpharmacological management of narcolepsy as well.
ABSTRACT
Background@#and Purpose: Organic light-emitting diodes (OLEDs) emit less blue light than traditional light-emitting diodes (LEDs), but the effects of OLED light exposure (LE) on melatonin and sleep have not been evaluated. @*Methods@#Twenty-four healthy subjects (age 26.9±5.7 years; including 18 females) with the intermediate chronotype were exposed to three different light conditions [4,000 K 150 lux OLED LE, 4,000 K 150 lux LED LE, and dim light (DL) at <10 lux] for 6.5 h from 17:30 to 24:00, in a random order and with a 1-week interval. Participants entered the unit for the experiment at 16:00, and their daylight was measured by actigraphy from 8:00 to 16:00 during each session. Saliva samples for melatonin were taken every hour from 18:00 to 24:00. Sleep was monitored by polysomnography, and vigilance was evaluated by psychomotor vigilance test upon awakening. @*Results@#Melatonin onset occurred at 21:11±01:24, 21:20±01:19, and 21:36±01:16 in the DL, OLED, and LED conditions, respectively. Melatonin onset was significantly delayed under LED LE compared to DL (p=0.007) but did not differ under OLED LE (p=0.245). Melatonin suppression, sleep parameters, and vigilance were similar among the three light conditions. The accumulated amount of daytime light in each session was negatively correlated with the melatonin onset time under the DL (rho=-0.634, p=0.002) and OLED (rho=-0.447, p=0.029) conditions, not under the LED condition (p=0.129). @*Conclusions@#Melatonin onset under OLED LE was not significantly delayed compared to DL.Exposure to sufficient daylight may advance melatonin onset even when a subject is exposed to OLED LE in the evening.
ABSTRACT
Objectives@#The objective of this study was to develop models for predicting obstructive sleep apnea (OSA) based on easily obtainable clinical information of patients using various machine learning techniques. @*Methods@#We used a data set that included the records of 1,368 patients, in which 1,074 patients were male (78.5 %), and 294 patients were female (21.5 %). We randomly divided the data into a training set (1,000) and test set (368). Five machine learning methods, i.e., support vector machine model, lasso logit model, naïve bayes, discriminant analysis, and K-nearest neighbor (KNN), with a 10-cross fold technique were used with the proposed model to predict OSA. We evaluated the accuracy, sensitivity, specificity, and precision of each model for three thresholds [Apnea-Hypopnea Index (AHI)≥5, AHI≥15, and AHI≥30]. @*Results@#Among the machine learning techniques, KNN showed the best results compared to the other techniques. The accuracy, sensitivity, specificity, and precision of OSA prediction were 87.0%, 91.0%, 74.4%, and 91.9%, respectively, based on AHI≥5. When the threshold of OSA was AHI≥15 or AHI≥30, KNN provided lower accuracy (79.6% each) and precision (79.0% and 68.7%), which were still higher than those of the other techniques. @*Conclusions@#The model derived from the KNN technique exhibited the best performance based on its highest level of accuracy. We demonstrate that this model is a useful tool for predicting OSA.
ABSTRACT
Objectives@#The objective of this study was to develop models for predicting obstructive sleep apnea (OSA) based on easily obtainable clinical information of patients using various machine learning techniques. @*Methods@#We used a data set that included the records of 1,368 patients, in which 1,074 patients were male (78.5 %), and 294 patients were female (21.5 %). We randomly divided the data into a training set (1,000) and test set (368). Five machine learning methods, i.e., support vector machine model, lasso logit model, naïve bayes, discriminant analysis, and K-nearest neighbor (KNN), with a 10-cross fold technique were used with the proposed model to predict OSA. We evaluated the accuracy, sensitivity, specificity, and precision of each model for three thresholds [Apnea-Hypopnea Index (AHI)≥5, AHI≥15, and AHI≥30]. @*Results@#Among the machine learning techniques, KNN showed the best results compared to the other techniques. The accuracy, sensitivity, specificity, and precision of OSA prediction were 87.0%, 91.0%, 74.4%, and 91.9%, respectively, based on AHI≥5. When the threshold of OSA was AHI≥15 or AHI≥30, KNN provided lower accuracy (79.6% each) and precision (79.0% and 68.7%), which were still higher than those of the other techniques. @*Conclusions@#The model derived from the KNN technique exhibited the best performance based on its highest level of accuracy. We demonstrate that this model is a useful tool for predicting OSA.
ABSTRACT
Persistent aura without infarction is defined as an aura persisting for 1 week or more without evidence of infarction on neuroimaging. It is difficult to differentiate persistent visual aura without infarction from occipital lobe epilepsy. We report a Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy patient with prosopometamorphopsia and visual field defect improved by valproic acid. We also review ambiguity between visual aura in migraine and occipital lobe epilepsy.
Subject(s)
Humans , CADASIL , Epilepsies, Partial , Epilepsy , Infarction , Migraine Disorders , Neuroimaging , Valproic Acid , Visual FieldsABSTRACT
Sleep is well known to be important to health and well-being, creativity, memory consolidation, and cognitive functions. However, sleep disorder patients sometimes had some limitation to get proper diagnosis and treatments. Now we live in an era of big change, so called the Fourth Industrial Revolution, which is characterized by mobile internet connectivity and artificial intelligence. Sleep medicine also started to change to patients-centered medicine with technical enhancement. To date, lots of smartphone applications and wearable device for monitoring sleep have appeared but not been validated enough against polysomnography. As another topic, big data receives lots of attention among sleep specialists. It is believed that big data would provide the basis of personalized healthcare. Here, we will discuss about new trend of sleep medicine involving mobile health such as telemedicine, smartphone, wearable device, and big data.
Subject(s)
Humans , Artificial Intelligence , Cognition , Creativity , Delivery of Health Care , Diagnosis , Internet , Memory Consolidation , Polysomnography , Sleep Wake Disorders , Smartphone , Specialization , TelemedicineABSTRACT
Good sleep is necessary for good health. Sleep health is increasingly recognized as important for physical and mental health by both the medical profession and the general public, and there is great interest in how to avoid and treat sleep disorders and problems. Recent research indicates that insufficient sleep, disrupted sleep, and sleep disorders affect many aspects of human health including sexual function. In fact, patients with urological disorders or erectile dysfunction (ED) may have a sleep disorder that contributes to their urological or sexual dysfunction. Obstructive sleep apnea, insomnia, shift work disorder, and restless legs syndrome are all common sleep disorders and are associated with ED and/or other urological disorders. Therefore, careful attention should be paid to the diagnosis and treatment of concomitant sleep disorders in patients with sexual dysfunction. In this review, we provide an overview of what sleep is and how it is assessed in the clinic or laboratory; our current understanding of the functions of sleep and sleep health; a description of common sleep disorders, as well as how they are diagnosed and treated; and how sleep and its disorders are associated with male sexual dysfunction. Sleep is considered to be a ‘third pillar of health’, along with diet and exercise. With an understanding of common sleep disorders and how they can impact male sexual function, the urologist can ensure that sleep disorders are considered as a contributor to sexual dysfunction in their patients in order to provide them with the optimal treatment for overall health.
Subject(s)
Humans , Male , Diagnosis , Diet , Erectile Dysfunction , Mental Health , Restless Legs Syndrome , Sexual Dysfunctions, Psychological , Sleep Apnea, Obstructive , Sleep Initiation and Maintenance Disorders , Sleep Wake Disorders , TestosteroneABSTRACT
A 78-year-old right handed man with hypertension presented with sudden onset dysarthria and right hemiparesis. Magnetic resonance angiography revealed near-occlusion of left proximal internal carotid artery. Emergent carotid stenting was performed. On the 17th day after carotid stenting, he showed decreased consciousness. Magnetic resonance imaging (MRI) showed edematous change with high signal and increased perfusion in the left hemisphere. Our case shows that delayed cerebral hyperperfusion syndrome can occur even 2 weeks after carotid artery stenting and multimodal MRI can help accurate diagnosis.
Subject(s)
Aged , Humans , Carotid Arteries , Carotid Artery, Internal , Carotid Stenosis , Consciousness , Diagnosis , Dysarthria , Hand , Hypertension , Magnetic Resonance Angiography , Magnetic Resonance Imaging , Paresis , Perfusion , StentsABSTRACT
No abstract available.
Subject(s)
Epilepsies, Partial , Headache , Hemianopsia , Migraine Disorders , Occipital LobeABSTRACT
OBJECTIVES: Narcolepsy with cataplexy is a rare chronic sleep disorder characterized by excessive daytime sleepiness, cataplexy, sleep paralysis, and hypnagogic/hypnopompic hallucinations. The aims of the present study were comparing the health-related quality of life (HR-QOL) of patients with type I and type II narcolepy patients, and determining the factors that influence the HR-QOL in narcolepsy patients. METHODS: All patients performed night polysomnography (PSG) and multiple sleep latency test (MSLT). HR-QOL and the severity of subjective symptoms were evaluated using various questionnaires, including the Korean versions of the Medical Outcome Study Short Form-36, the Pittsburg Sleep Quality Index-Korean version, the Korean version Epworth Sleepiness Scale, and the Korean version Beck Depression Inventory-2. RESULTS: We enrolled 21 type I narcolepsy patients and 27 type II patients. Type I patients had short rapid eye movement (REM) latency on night PSG and more sleep onset REM periods on MSLT. The total score of HR-QOL was worse in patients with type I narcolepsy than in the type II narcolepsy patients. There was association between the severities of excessive daytime sleepiness, depression and the degree of worsening of QOL. CSF hypocretin level had no correlation with the scores of HR-QOL. CONCLUSIONS: These findings demonstrate that type I narcolepsy patients are sleepier, depressive, and have more burden on the HR-QOL. And the impairment in QOL of narcolepsy patients is related to the degree of excessive daytime and depressive mood.