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Fertility and Sterility Jan 2020This literature review presents two unusual and mystifying disorders of penile erection: painful nocturnal erections, alternatively termed sleep-related painful...
This literature review presents two unusual and mystifying disorders of penile erection: painful nocturnal erections, alternatively termed sleep-related painful erections, and idiopathic stuttering priapism, a variant of recurrent ischemic priapism in which no cause is discernible. The disorders are closely related although they are distinct clinically and pathologically. The main subject areas of discussion are recognition, clinical evaluation and management although current concepts surrounding their causes and mechanisms are also addressed. It is acknowledged that despite the perceived rarities of these disorders they are impactful in terms of their disease profiles and consequences. Future advances in their management will require continued development of evidence-based treatments.
Topics: Humans; Male; Penile Erection; Priapism; REM Sleep Parasomnias; Rare Diseases
PubMed: 32033724
DOI: 10.1016/j.fertnstert.2019.11.013 -
Journal of Sleep Research Apr 2019Although video polysomnography (vPSG) is not routinely recommended for the evaluation of typical cases of non-rapid eye movement (NREM) parasomnias, it can aid diagnosis...
Although video polysomnography (vPSG) is not routinely recommended for the evaluation of typical cases of non-rapid eye movement (NREM) parasomnias, it can aid diagnosis of unusual cases, other sleep disorders and complicated cases with REM behaviour disorder (RBD), and in differentiating parasomnias from epilepsy. In this study, we aimed to assess vPSG findings in consecutive patients with a clinical diagnosis of NREM-parasomnia covering the whole phenotypic spectrum. Five hundred and twelve patients with a final diagnosis of NREM parasomnia who had undergone vPSG were retrospectively identified. vPSGs were analysed for features of NREM parasomnia and for the presence of other sleep disorders. Two hundred and six (40.0%) patients were clinically diagnosed with sleepwalking, 72 (14.1%) with sleep terrors, 39 (7.6%) with confusional arousals, 15 (2.9%) with sexsomnia, seven (1.4%) with sleep-related eating disorder, 122 (23.8%) with mixed phenotype, and 51 (10.0%) with parasomnia overlap disorder (POD). The vPSG supported the diagnosis of NREM parasomnia in 64.4% of the patients and of POD in 98%. In 28.9% of the patients, obstructive sleep apnea (OSA) or/and periodic limb movements during sleep (PLMS) were identified, most commonly in older, male, sleepy and obese patients. vPSG has a high diagnostic yield in patients with NREM parasomnia and should be routinely performed when there is diagnostic doubt, or in patients where there is a suspicion of OSA and PLMS.
Topics: Adult; Eye Movements; Female; Humans; Male; Middle Aged; Parasomnias; Polysomnography; Retrospective Studies; Video Recording
PubMed: 30295353
DOI: 10.1111/jsr.12772 -
Behavioural Neurology 2015Parasomnias are unpleasant or undesirable behaviours or experiences that occur predominantly during or within close proximity to sleep. Pharmacological treatments of... (Review)
Review
Parasomnias are unpleasant or undesirable behaviours or experiences that occur predominantly during or within close proximity to sleep. Pharmacological treatments of parasomnias are available, but their efficacy is established only for few disorders. Furthermore, most of these disorders tend spontaneously to remit with development. Nonpharmacological treatments therefore represent valid therapeutic choices. This paper reviews behavioural and cognitive-behavioural managements employed for parasomnias. Referring to the ICSD-3 nosology we consider, respectively, NREM parasomnias, REM parasomnias, and other parasomnias. Although the efficacy of some of these treatments is proved, in other cases their clinical evidence cannot be provided because of the small size of the samples. Due to the rarity of some parasomnias, further multicentric researches are needed in order to offer a more complete account of behavioural and cognitive-behavioural treatments efficacy.
Topics: Cognition; Cognitive Behavioral Therapy; Humans; Parasomnias; REM Sleep Behavior Disorder; Recurrence; Sleep
PubMed: 26101458
DOI: 10.1155/2015/786928 -
Sleep Apr 2022To analyze cognitive deficits leading to unsafe driving in patients with REM Sleep Behavior Disorder (RBD), strongly associated with cognitive impairment and...
STUDY OBJECTIVES
To analyze cognitive deficits leading to unsafe driving in patients with REM Sleep Behavior Disorder (RBD), strongly associated with cognitive impairment and synucleinopathy-related neurodegeneration.
METHODS
Twenty isolated RBD (iRBD), 10 symptomatic RBD (sRBD), and 20 age- and education-matched controls participated in a prospective case-control driving simulation study. Group mean differences were compared with correlations between cognitive and driving safety measures.
RESULTS
iRBD and sRBD patients were more cognitively impaired than controls in global neurocognitive functioning, processing speeds, visuospatial attention, and distractibility (p < .05). sRBD patients drove slower with more collisions than iRBD patients and controls (p < .05), required more warnings, and had greater difficulty following and matching speed of a lead car during simulated car-following tasks (p < .05). Driving safety measures were similar between iRBD patients and controls. Slower psychomotor speed correlated with more off-road accidents (r = 0.65) while processing speed (-0.88), executive function (-0.90), and visuospatial impairment (0.74) correlated with safety warnings in sRBD patients. Slower stimulus recognition was associated with more signal-light (0.64) and stop-sign (0.56) infractions in iRBD patients.
CONCLUSIONS
iRBD and sRBD patients have greater selective cognitive impairments than controls, particularly visuospatial abilities and processing speed. sRBD patients exhibited unsafe driving behaviors, associated with processing speed, visuospatial awareness, and attentional impairments. Our results suggest that iRBD patients have similar driving-simulator performance as healthy controls but that driving capabilities regress as RBD progresses to symptomatic RBD with overt signs of cognitive, autonomic, and motor impairment. Longitudinal studies with serial driving simulator evaluations and objective on-road driving performance are needed.
Topics: Cognition; Cognition Disorders; Executive Function; Humans; Polysomnography; REM Sleep Behavior Disorder
PubMed: 34958375
DOI: 10.1093/sleep/zsab253 -
Respirology (Carlton, Vic.) May 2020Sleep apnoea is now regarded as a highly prevalent systemic, multimorbid, chronic disease requiring a combination of long-term home-based treatments. Optimization of... (Review)
Review
Sleep apnoea is now regarded as a highly prevalent systemic, multimorbid, chronic disease requiring a combination of long-term home-based treatments. Optimization of personalized treatment strategies requires accurate patient phenotyping. Data to describe the broad variety of phenotypes can come from electronic health records, health insurance claims, socio-economic administrative databases, environmental monitoring, social media, etc. Connected devices in and outside homes collect vast amount of data amassed in databases. All this contributes to 'Big Data' that, if used appropriately, has great potential for the benefit of health, well-being and therapeutics. Sleep apnoea is particularly well placed with regards to Big Data because the primary treatment is positive airway pressure (PAP). PAP devices, used every night over long periods by millions of patients across the world, generate an enormous amount of data. In this review, we discuss how different types of Big Data have, and could be, used to improve our understanding of sleep-disordered breathing, to identify undiagnosed sleep apnoea, to personalize treatment and to adapt health policies and better allocate resources. We discuss some of the challenges of Big Data including the need for appropriate data management, compilation and analysis techniques employing innovative statistical approaches alongside machine learning/artificial intelligence; closer collaboration between data scientists and physicians; and respect of the ethical and regulatory constraints of collecting and using Big Data. Lastly, we consider how Big Data can be used to overcome the limitations of randomized clinical trials and advance real-life evidence-based medicine for sleep apnoea.
Topics: Big Data; Data Collection; Data Management; Data Science; Health Information Interoperability; Humans; Sleep Arousal Disorders
PubMed: 31411796
DOI: 10.1111/resp.13669 -
Neural Plasticity 2016Measurement of sleep microarchitecture and neural oscillations is an increasingly popular technique for quantifying EEG sleep activity. Many studies have examined sleep... (Review)
Review
Measurement of sleep microarchitecture and neural oscillations is an increasingly popular technique for quantifying EEG sleep activity. Many studies have examined sleep spindle oscillations in sleep-disordered adults; however reviews of this literature are scarce. As such, our overarching aim was to critically review experimental studies examining sleep spindle activity between adults with and without different sleep disorders. Articles were obtained using a systematic methodology with a priori criteria. Thirty-seven studies meeting final inclusion criteria were reviewed, with studies grouped across three categories: insomnia, hypersomnias, and sleep-related movement disorders (including parasomnias). Studies of patients with insomnia and sleep-disordered breathing were more abundant relative to other diagnoses. All studies were cross-sectional. Studies were largely inconsistent regarding spindle activity differences between clinical and nonclinical groups, with some reporting greater or less activity, while many others reported no group differences. Stark inconsistencies in sample characteristics (e.g., age range and diagnostic criteria) and methods of analysis (e.g., spindle bandwidth selection, visual detection versus digital filtering, absolute versus relative spectral power, and NREM2 versus NREM3) suggest a need for greater use of event-based detection methods and increased research standardization. Hypotheses regarding the clinical and empirical implications of these findings, and suggestions for potential future studies, are also discussed.
Topics: Adolescent; Adult; Aged; Brain; Brain Waves; Bruxism; Disorders of Excessive Somnolence; Electroencephalography; Female; Humans; Male; Middle Aged; Parasomnias; Sleep Initiation and Maintenance Disorders; Sleep Stages; Sleep Wake Disorders; Young Adult
PubMed: 27034850
DOI: 10.1155/2016/7328725 -
Journal of Sleep Research Aug 2022Restless legs syndrome (RLS) is a sensorimotor neurological disorder characterised by an urge to move the limbs with a circadian pattern (occurring in the evening/at... (Review)
Review
Restless legs syndrome (RLS) is a sensorimotor neurological disorder characterised by an urge to move the limbs with a circadian pattern (occurring in the evening/at night), more prominent at rest, and relieved with movements. RLS is one of the most prevalent sleep disorders, occurring in 5%-10% of the European population. Thomas Willis first described RLS clinical cases already in the 17th century, and Karl-Axel Ekbom described the disease as a modern clinical entity in the 20th century. Despite variable severity, RLS can markedly affect sleep (partly through the presence of periodic leg movements) and quality of life, with a relevant socio-economic impact. Thus, its recognition and treatment are essential. However, screening methods present limitations and should be improved. Moreover, available RLS treatment options albeit providing sustained relief to many patients are limited in number. Additionally, the development of augmentation with dopamine agonists represents a major treatment problem. A better understanding of RLS pathomechanisms can bring to light novel treatment possibilities. With emerging new avenues of research in pharmacology, imaging, genetics, and animal models of RLS, this is an interesting and constantly growing field of research. This review will update the reader on the current state of RLS clinical practice and research, with a special focus on the contribution of European researchers.
Topics: Animals; Dopamine Agonists; Movement; Quality of Life; Restless Legs Syndrome; Sleep Wake Disorders
PubMed: 35808955
DOI: 10.1111/jsr.13632 -
Journal of Clinical Sleep Medicine :... Jan 2018Sleep bruxism (SB) is common in children and is associated with somatic symptoms and sleep disturbance. Etiological theories posit the role of anxiety, suggesting youth...
STUDY OBJECTIVES
Sleep bruxism (SB) is common in children and is associated with somatic symptoms and sleep disturbance. Etiological theories posit the role of anxiety, suggesting youth with anxiety disorders may be at high risk for SB, but empirical data are lacking. Furthermore, parent report rather than polysomnography (PSG) has been used to examine SB-anxiety relationships in children. We examined rates of PSG-detected compared to parent-reported SB in children with generalized anxiety disorder (GAD) and healthy controls. Associations among SB, somatic complaints, and sleep disturbance were also examined.
METHODS
Thirty-one children, aged 7-11 years, completed 1 night of PSG monitoring and 7 daily reports of somatic symptoms. Bruxism events were scored during stage R sleep, stage N1 sleep, and stage N2 sleep.
RESULTS
Almost one-third of children showed evidence of SB based on PSG. No associations were identified between parent-reported and PSG-detected SB. Rates of SB did not differ between anxious and control groups, though children with GAD showed more tonic bruxisms during stage R sleep. Presence of SB predicted more muscle aches and stomach aches, and children with SB had more awake time after sleep onset than those without bruxism.
CONCLUSIONS
Results indicate poor concordance between PSG-detected and parent-reported SB in children, suggesting that parent report alone is not a reliable method for detection. The lack of association between SB and anxiety status suggests that stress sensitivity rather than anxiety may be predictive of SB. Associations between SB, somatic symptoms, and sleep disturbance are congruent with the broader literature.
Topics: Anxiety Disorders; Child; Female; Humans; Male; Medically Unexplained Symptoms; Polysomnography; Sleep Bruxism; Surveys and Questionnaires
PubMed: 29198292
DOI: 10.5664/jcsm.6872 -
Journal of Clinical Sleep Medicine :... Feb 2023This study investigated the diagnostic accuracy of Sleep Profiler, which relies on ambulatory polysomnography (PSG) with electroencephalogram for sleep bruxism (SB) and...
STUDY OBJECTIVES
This study investigated the diagnostic accuracy of Sleep Profiler, which relies on ambulatory polysomnography (PSG) with electroencephalogram for sleep bruxism (SB) and examined its episode-by-episode agreement in comparison to PSG equipped with audiovisual recordings (avPSG).
METHODS
This prospective 2-gate study recruited 10 individuals with probable SB and 10 healthy volunteers. Overnight experimental recordings were performed simultaneously using the ambulatory PSG with masseter electromyography and avPSG with masseter and temporalis electromyography. Sleep staging was performed manually for avPSG and automatically or manually for ambulatory PSG. SB episodes were manually scored based on electromyography signals with reference to sleep stages. The episode-by-episode agreement was analyzed by setting avPSG as the reference standard. The sensitivity, specificity, and accuracy for the diagnosis of SB were calculated after optimizing the cutoff values of the episode index and the burst index.
RESULTS
Regarding the episode-by-episode agreement, median sensitivities were 0.825 and positive predictive values were approximately 0.6, regardless of the sleep staging procedure, indicating that approximately 40% of the overall total SB episodes scored by the ambulatory PSG were false positives. Because of overestimation of SB episodes, the optimal cutoff values for the episode index and the burst index were approximately 1.5 times higher than the avPSG-based cutoff values and dramatically improved the diagnostic precision metrics for the ambulatory PSG.
CONCLUSIONS
Sleep Profiler can eliminate events during wakefulness by electroencephalogram and may provide a definitive diagnosis in patients with possible SB by applying optimized cutoff values. However, the risk of overestimation must be recognized.
CLINICAL TRIAL REGISTRATION
Registry: UMIN Clinical Trials Registry; Name: Accuracy of Portable PSG Device for Detection of Sleep Bruxism-Related Masseter EMG Muscle Activity; URL: https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000037380; Identifier: UMIN000032793.
CITATION
Abe Y, Nakazato Y, Takaba M, Kawana F, Baba K, Kato T. Diagnostic accuracy of ambulatory polysomnography with electroencephalogram for detection of sleep bruxism-related masticatory muscle activity. 2023;19(2):379-392.
Topics: Humans; Polysomnography; Sleep Bruxism; Prospective Studies; Masticatory Muscles; Masseter Muscle; Electromyography; Electroencephalography
PubMed: 36305587
DOI: 10.5664/jcsm.10344 -
International Journal of Environmental... Jan 2020Restless legs syndrome is a relatively common neurologic disorder considerably more prevalent in women than in men. It is characterized by an inactivity-induced, mostly... (Review)
Review
Restless legs syndrome is a relatively common neurologic disorder considerably more prevalent in women than in men. It is characterized by an inactivity-induced, mostly nocturnal, uncomfortable sensation in the legs and an urge to move them to make the disagreeable sensation disappear. Some known genes contribute to this disorder and the same genes contribute to an overlapping condition-periodic leg movements that occur during sleep and result in insomnia. Dopamine and glutamate transmission in the central nervous system are involved in the pathophysiology, and an iron deficiency has been shown in region-specific areas of the brain. A review of the literature shows that pregnant women are at particular risk and that increased parity is a predisposing factor. Paradoxically, menopause increases the prevalence and severity of symptoms. This implies a complex role for reproductive hormones. It suggests that rather than absolute levels of estrogen may be responsible for the initiation of symptoms. Both iron (at relatively low levels in women) and estrogen (at relatively high oscillating levels in women) influence dopamine and glutamate transmission, which may help to explain women's vulnerability to this condition. The syndrome is comorbid with several disorders (such as migraine, depression, and anxiety) to which women are particularly prone. This implies that the comorbid condition or its treatment, or both, contribute to the much higher prevalence in women than in men of restless legs syndrome.
Topics: Comorbidity; Female; Genetic Predisposition to Disease; Humans; Restless Legs Syndrome; Risk Factors; Sex Factors
PubMed: 31935805
DOI: 10.3390/ijerph17010368