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Query: UMLS:C0037315 (sleep apnea)
8,000 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

A sleep apnea syndrome has been diagnosed in eight children (age range 5-14). Before undertaking therapeutic trials, sleep and respiration were extensively studied. Sleep and respiration were again analyzed 3 months after tonsillectomy and adenoidectomy (6 cases) or tracheostomy with insertion of valve (2 cases). Sleep induced apneic apisodes in these children who had normal respiration during wakefulness. Three types of apnea (central, upper airway, and mixed) were recorded in each case. The minimum number of apneas recorded during a single night was 75; the maximum was 816. Polygraphic monitoring demonstrated greatly disturbed sleep. Sleep changes were quantitative as well as qualitative. REM sleep percent was decreased, but stages 3 and 4 NREM sleep were also impaired. A relationship between stages 3-4 NREM sleep and respiration was noted: stages 3-4 sleep disappeared when apneic episodes were numerous; no apnea was recorded during stage 4 sleep. Follow-up nocturnal recordings of two tracheostomized children with valve open, then closed, confirmed this "stage 4/no apnea" relationship. Apneas were also noted to induce marked sinus arrhythmia during sleep.
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PMID:[Sleep and respiration in the syndrome "apnea during sleep" in the child]. 6 Feb 23

Information which has emerged thus far relates to the overall transmitter mechanisms of sleep. The data, while conflicting, point to the involvement of many neuroregulators at numerous integrative levels of the process. However the long term question still remain: what triggers and maintain sleep, what stops sleep, what occurs to the body and brain during sleep--in essence, why sleep? These questions are now problems for behavioral neurochemists, whereas in a previous era, they were problems for philosophers. Unfortunately, our answers to date, while in another idiom, have hardly been more complete or satisfying. To answer these questions, it will be necessary to understand, in detail, the manner in which neurobiochemical processes relate to the functional physiology of sleep. Although existing studies have given invaluable insight into the neurochemical anatomy of sleep, we have only recently acquired the technical and biochemical expertise necessary to investigate sleep as it occurs normally. Future research must focus on the dynamic changes associated with the regulatory mechanisms of neurotransmitters. Many questions can be asked. With sleep transitions, what changes occur in transmitter content, synthesis, or release? Are there changes in metabolic pathways, reflecting a shift from intra- to interneuronal metabolism? What changes occur in pre- and postsynaptic neurotransmitter receptors to affect sensitivity? What constraints do genetic (245) and environmental (246) factors impose upon these mechanisms? Knowledge of such parameters will allow us to construct more complete models of the neuroregulatory basis of sleep and waking. However, as we acquire this knowledge, we must avoid the temptation of assuming causation when the evidence merely shows correlation. Neuroregulation are involved in the control of number different behaviors; and, at present, we have few, if any, methods of establishing causative links between a specific neuroregulator and a specific behavioral state. Yet, even without an understanding of what "causes" sleep, we may be able to develop pharmacological agents which permits discrete alteration of sleep mechanisms in a more physiological and specific manner. This potential for manipulation of sleep is of obvious importance in illnesses such as insomnia, narcolepsy, and sleep apnea (247, 248). In addition, it may be valuable in the treatment of such conditions as psychosis and depression, where sleep disturbances are an important component of the illness. For example, delirium tremens might be best understood as a psychotic episode which is the result of an aspect of sleep emerging into wakefulness. The range and breadth of both the basic questions and the potential application of sleep research portend an exciting future for this field.
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PMID:Neuroregulators and sleep mechanisms. 16 54

Very few epidemiological surveys have specifically studied relationships between sleep disturbances and psychiatric diseases. In this review, we preferred to use the classification proposed in 1979 by the Association of Sleep Disorders Centers. It includes four main categories: insomnias, excessive sleepiness, troubles of the wake/sleep schedule and parasomnias. Evaluating psychiatric disorders among general populations is easier owing to DSM III and DSM III-R criteria, but there are not equivalent criteria in evaluating sleep disorders. It is almost impossible to realize polysomnographic recordings in large samples, therefore sleep disorders are to be detected by questionnaires. It has been shown that there is a good correlation between self-reports and polysomnographic recordings among clinical and general samples. The prevalence of insomnia, defined as difficulties of initiating and maintaining sleep, is estimated between 9 and 31%. It is higher among women, elderly people, separated and divorced subjects, and low educational levels' groups. It has to be noticed that polysomnographic records of some subjective insomniacs are not different from those of good sleepers, sleep latency excepted. These subjective (and not objective) insomniacs have high scores in anxiety scale, depression scale, or psychologic distress. Insomnia is more frequently noted amongst subjects with psychiatric diagnoses, especially major depressive disorders and anxiety disorders. Depressive disorders are present in 21-40% of insomniacs versus 0-1% of non-insomniacs, and anxiety disorders in 13-24% of insomniacs versus 3-10% of non-insomniacs. In depressive disorders, sleep alterations are frequently noted: they are difficulties of initiating and maintaining sleep, decreasing proportion of slow-wave sleep, decreasing time of REM (rapid eye movement) sleep and REM sleep latency, and increasing density of REM sleep. Of these modifications, the last two ones seem to be specific for depression. The relationships between sleep, aging and depression are more complex than previously noted. For example, differences between depressed and non-depressed subjects depend on the age of the population. The prevalence of hypersomnia is lower than the insomnia's. It varies between 2 and 4%. It is more frequently noted among young people, and never married subjects. Two specific aetiologies must be looked for: sleep apnea syndrome and narcolepsy. These diagnoses are respectively found in 45% and 24% of hypersomniacs examined in American Sleep Centers. Hypersomnias are objectived by the Multiple Sleep Latency Test, which measures the physiologic sleep tendency.(ABSTRACT TRUNCATED AT 400 WORDS)
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PMID:[Sleep disorders in psychiatric diseases. Epidemiological aspects]. 129 83

Sleep apnea syndrome (SAS) is a well established sleep disorder with high morbidity and mortality. Patients are most often middle-aged men. SAS occurs in at least 1% of the adult population. Several studies have suggested that SAS is extremely frequent in the elderly, its prevalence ranging from 18 to 73% in this group. However, the generalization of these results to elderly cohorts is questionable because of several limitations of these studies, including lack of standard selection criteria, variation in recording techniques, the night to night variability of sleep apnea and the use of a moderate level of sleep disordered breathing (SDB) to define SAS (5 apneas per hour). The study best designed for valid extrapolation to the whole aged population estimates the frequency of SAS at 18%. However, most of these patients reported satisfactory sleep, and epidemiologic criteria for a causal association between SAS in the elderly and cardiovascular disease have not been satisfied. The conclusions of numerous studies dealing with impairment in cognitive function and SAS in the elderly are controversial. In fact, if the diagnostic threshold is increased from 5 apneas to 10 apneas plus hypopneas per hour, elderly SAS patients have more sleep disturbances, are more depressed and have cognitive deficits as compared to normal old persons. When an appropriate diagnostic index is used, SAS in the elderly resembles SAS described in the middle-aged population. In addition, a high apnea plus hypopnea index is an ominous predictor of mortality in the elderly population, and a very high level of SDB is an extremely significant risk factor for mortality during sleep phase in these patients.(ABSTRACT TRUNCATED AT 250 WORDS)
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PMID:Sleep apnea syndrome in the elderly. 147 Aug 7

Sleep apnoea (OSA), a common sleep disorder, is well recognised as a cause of morbidity including psychiatric disorders. There is increasing recognition of the link between OSA and depression. Sleep changes are intrinsic to depressive disorders, most notably disturbances of REM sleep; OSA causes predominantly REM sleep disturbances. The neuro-vegetative features of depression are similar or identical to the symptoms of OSA-an issue which has not achieved wide clinical recognition. A growing number of studies confirm the statistical link between the two conditions. The implications are twofold: OSA needs to be excluded in cases of chronic or resistant depression and treatment of OSA will make it easier to treat the primary depressive disorder. A new method of treatment for OSA, the Sullivan continuous positive airway pump (CPAP), raises the theoretical possibility of treating depression by this means as well.
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PMID:Obstructive sleep apnoea and depression--diagnostic and treatment implications. 848 Nov 62

The most common sleep disturbance is an adjustment reaction to life events and physical illness. Snoring, without sleep apnea, is a problem frequently encountered by primary care physicians. Sleep disturbances caused by behaviors incompatible with sleep require counseling, while sleep disturbances due to psychiatric conditions require treatment of the underlying illness. Sleep disorders caused by alcohol and other drugs are prevalent. Chronic insomnia with no identifiable underlying psychiatric or medical condition is best managed with behavioral therapies. New pharmacotherapies for leg movements or restless legs sensations during sleep appear promising. New therapies are also dramatically effective for obstructive sleep apnea.
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PMID:Management of the 10 most common sleep disorders. 154 9

A careful medical evaluation is essential for any patient complaining of disturbed sleep so as to ascertain the contribution of possible metabolic, neurologic, or medication-related factors to symptom development. In this review, medical and neurologic conditions that may negatively affect sleep will be discussed as well as commonly offending medications. Special attention will be given to sleep apnea syndromes. The evaluation of sleep disturbance in the medical patient will be discussed with focus on of the special pharmacokinetic considerations involved in selecting medications for the treatment of disturbed sleep in this patient population.
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PMID:Sleep disorders in the medically ill patient. 161 17

The aim of this study was twofold: first, to see if the prevalence of the sleep apnea syndrome (SAS) in a given population could be fairly estimated by our patient questionnaire, mainly based upon the 1979 American Sleep Association definition of SAS; and second, to investigate whether the severity of SAS could be similarly accurately measured by daytime polysomnography (DPSG), as an alternative to the more demanding all-night polysomnography (NPSG). Of 42 patients consecutively examined due to rhonchopathy, 18 had the clinical diagnosis of SAS, which was based on the three symptoms--snoring, sleep disturbances and diurnal hypersomnia--if reported to occur habitually. In 11 patients the diagnosis was established by NPSG [apnea index (AI) greater than 10]. However, in only 10 of the 18 cases NPSG indicated the diagnosis giving a positive predictive value of 56%. When comparing DPSG versus NPSG in 36 patients, the AI ranged from -23 to +65, and the mean AI value was found to be twice as high in the former (mean difference 9.0 +/- 18.4; p less than 0.01). The positive predictive value of DPSG was 63% (10/16). Both the self-report and DPSG were burdened with some 25% false-positive results, and DPSG gave far too variable AI values to be reliable in staging the disease. On the other hand, the negative predictive values were high, 96% (23/24) and 100% (20/20), respectively, indicating their usefulness for screening purposes.
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PMID:Preliminary report: validity of symptom analysis and daytime polysomnography in diagnosis of sleep apnea. 162 Oct 28

Automobile accidents are reported as being overrepresented in those suffering from the obstructive sleep apnea syndrome (SAS), evident by snoring, sleep disturbances and diurnal hypersomnia. An estimation of the prevalence of these symptoms amongst an adult population, predominantly automobile drivers, was assessed by using a one-stage questionnaire procedure. From a national random sample of 1214 persons a weighted reply rate of 76% was achieved. Snoring, breath cessations, mid-sleep awakenings, and diurnal hypersomnia were reported in 24, 3.8, 27 and 9.1%, respectively. The maximum prevalence of SAS was estimated as 2.8-5.5% among men, aged 30-69 years, depending on definition used. Driving frequency in potential sleep apneics was similar to that of the entire population studied. Diurnal hypersomnia, considered a consequence of SAS, was reported as an overall 2.2%, corresponding to 100,000 automobile drivers in Sweden.
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PMID:Sleep apnea syndrome symptoms and automobile driving in a general population. 162 63

To investigate the temporal organization of EEG sleep activity in the second and minute ranges we developed a method which, based on Fourier transformation, allows the presentation of periodic oscillations of spectral power and coherence. The application of this method is demonstrated in 3 subjects with different types of alpha activity during sleep: (a) alpha-sleep pattern (a physiological variant of NREM sleep activity); (b) abnormally increased arousal alpha activity. The results show that differences in the temporal organization of these alpha activities can be determined with the following parameters: period length, duration of sequences with periodic activity, number and rate of these sequences, and proportion of periodicities generated simultaneously in the left and right hemispheres. The physiologically modulated periodicities of the alpha-sleep pattern are contrary to a stereotyped 40-60 sec periodicity of abnormal arousal alpha activity. Such abnormal periodicity corresponds to periodicities occurring in association with other sleep disturbances, such as sleep apnea or periodic movements in sleep. Periodicity analysis gives additional criteria for a more refined evaluation of normal as well as abnormal sleep structure.
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PMID:Periodicity analysis of sleep EEG in the second and minute ranges--example of application in different alpha activities in sleep. 169 54


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