184 resultados para sommeil


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Treatment-resistant hypertension is still common despite the availability of several types of antihypertensive agents acting by different mechanisms. The existence of refractory hypertension should lead to rule out "white-coat hypertension", poor adherence to prescribed drugs as well as classical causes of secondary hypertension such as renal artery stenosis, primary aldosteronism, pheochromocytoma and renal disease. It is also important to consider the possible existence of obstructive sleep apnea or the regular intake of vasopressive drugs or substances.

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Treatment-resistant hypertension is still common despite the availability of several types of antihypertensive agents acting by different mechanisms. The existence of refractory hypertension should lead to rule out "white-coat hypertension", poor adherence to prescribed drugs as well as classical causes of secondary hypertension such as renal artery stenosis, primary aldosteronism, pheochromocytoma and renal disease. It is also important to consider the possible existence of obstructive sleep apnea or the regular intake of vasopressive drugs or substances.

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Sleep apnea syndrome (SAS) consists of nocturnal snoring interrupted by obstructive apnea and of diurnal symptoms like hypersomnolence as a consequence of sleep fragmentation. Cardiovascular morbidity and mortality associated with this syndrome justify early detection and appropriate treatment. Polysomnography is still a frequently used method for early detection; however, several disadvantages like duration, discomfort and expense led to a search for alternatives. Since the beginning of the eighties, oximetry allows recording of nocturnal oxygen saturation of hemoglobin even at home. Nocturnal oximetry reveals O2-desaturation associated with apnea and thus permits often to diagnose or exclude SAS. Diagnosis of SAS is made when at least 20 desaturations per hour with an amplitude of at least 4% are recorded. On the other hand, normal nocturnal oximetry nearly excludes SAS. In those cases where nocturnal oximetry is not diagnostic, polysomnography remains the method of choice. Departing from published work, a model for SAS detection, based mainly on nocturnal oximetry, is proposed.

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Sleep disorders, especially insomnia, daytime sleepiness, sleep apnea syndrome and restless legs syndrome are very frequently encountered in patients with chronic renal failure whether or not they undergo renal replacement therapy. The causes of sleep disorders are multifactorial and not only linked to the renal disease itself, but also to its treatment and its associated psychosocial factors. This article discusses the prevalence and physiopathology of the most frequently encountered sleep disorders in chronic renal failure patients, and highlights the actually available therapeutic options.

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Normal sleep patterns and prevalence of sleep disorders in the general population are largely unknown. The aim of HypnoLaus cohort study is to record sleep and analyze sleep characteristics in a large population-based sample, which had undergone comprehensive genetic, somatic, and psychiatric investigations. Full polysomnography has already been performed in more than 1100 middle aged men and women randomly selected from Lausanne general population (goal 2000-3000 sleep recordings). Over 4000 additional subjects from the same population have filled various questionnaires on their sleep habits and complaints. These results combined with genetic, cardiovascular, metabolic, and psychiatric data provide a unique opportunity to determine the interaction between sleep, its genetic determinants and cardiovascular, psychiatric, or metabolic diseases.

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There are many case reports of serious complications and death among obstructive sleep apnea patients (OSA) during general anesthesia or postoperative analgesia. Sedatives and anesthetic agents, pharyngeal anatomy of these patients, opiates given for analgesia, and post operative REM sleep rebound represent potential hazards for general anesthesia in OSA patients. Ideally these patients should be treated with continuous positive airway pressure (CPAP) during premedication, directly after extubation and during postoperative analgesia. Unfortunately, only about 20% of these patients are diagnosed before surgery. A special attention should be given to the symptoms and signs suggestive of OSA during preoperative visits. Screening tests should be performed in patients with suspected OSA and, if positive, a treatment should be initiated.

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Introduction : Plusieurs études épidémiologiques et de laboratoire basées sur des estimations subjectives de la durée et de la qualité du sommeil suggèrent que celles-ci pourraient être associées à une augmentation du risque de troubles métaboliques ou cardiovasculaires. Objectif : Dans cette étude nous avons examiné les associations entre les caractéristiques du sommeil évaluées objectivement par Polysomnographie (PSG) et le syndrome métabolique ainsi que ses composants (hypertension, diabète, obésité). Matériel et méthodes : Nous avons analysé les données de 2162 sujets de la population générale (dont le 51.2% étaient des femmes, âge moyen : 58.4±11.1 ans, fourchette d'âge: 40.5-84.4) qui ont participé à l'étude Hypnolaus. Tous les sujets ont eu une évaluation clinique et biologique et ils ont bénéficié d'une PSG complète à domicile. Résultats : Les analyses univariées ont montré que les sujets présentant un syndrome métabolique avaient une diminution du temps total de sommeil, du sommeil lent profond, du sommeil paradoxal et de l'efficacité du sommeil, ainsi qu'une augmentation de l'index de microéveils par rapport aux sujets qui n'avaient pas un syndrome métabolique. Nous avons aussi trouvé des différences significatives de la structure du sommeil en fonction de la présence ou de l'absence d'hypertension, de diabètes et de surpoids/obésité. Cependant, ces différences s'atténuent après ajustement pour des facteurs confondants (âge, genre, tabagisme, prise d'alcool, activité physique, médicaments qui affectent le sommeil, dépression, santé globale et indice de masse corporelle). Seules des différences marginales, non statistiquement significatives, persistaient dans le modèle multiajusté et après stratification en fonction de la présence de troubles respiratoires au cours du sommeil. Conclusions: Dans cet échantillon de la population générale nous avons mis en évidence des associations significatives entre la structure du sommeil et le syndrome métabolique ainsi que ses composants. Cependant, ces associations ne sont pas indépendantes des autres facteurs de risque cardiométabolique connus. Nous en concluons que les variations normales de la durée et de la structure du sommeil contribuent peu ou pas au syndrome métabolique et ses troubles associés.