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Introduction: Sleep apnea syndrome (SAS) is an established cardiovascular risk factor in the general population related to inflammation and oxidative stress and is very common among hemodialysis patients. Cardiovascular disease and its complications is the main cause of death among hemodialysis patients. The aim of the present study was to investigate the role of SAS in the promotion of inflammation and oxidative stress and thus in the augmentation of cardiovascular risk in hemodialysis patients., Methods: Thirty-seven hemodialysis patients underwent an overnight full polysomnography study. The following morning blood samples were obtained and TNF-α (tumor necrosis factor-α), IL-6 (interleukin-6), MPO (myeloperoxidase), and oxLDL (oxidized low density lipoprotein) were measured., Findings: We investigated the correlation of patients' markers of inflammation and oxidative stress with their sleep parameters (total sleep time, AHI, apnea/hypopnea index; RDI, respiratory disturbance index; DI, desaturation index, mean and minimum SpO 2 and percentage of sleep time with SpO 2  < 90%). TNF-α correlated positively with BMI (r = 0.510, P < 0.0001) and total sleep time (r = 0.370, P = 0.027). IL-6 correlated positively with age (r = 0.363, P = 0.027), AHI (r = 0.385, P = 0.018), DI (r = 0.336, P = 0.042) and percentage of sleep time with SpO 2  < 90% (r = 0.415, P = 0.012) and negatively with mean SpO 2 (r = -0.364, P = 0.027). Myeloperoxidase correlated positively with AHI (r = 0.385, P = 0.018), DI (r = 0.380, P = 0.02) and percentage of sleep time with SpO 2  < 90% (r = 0.388, P = 0.019). Finally, oxLDL correlated positively with BMI (r = 0.443, P = 0.007), AHI (r = 0.395, P = 0.015), RDI (r = 0.328, P = 0.048) and total sleep time with SpO 2 <90% (r = 0.389, P = 0.019)., Conclusions: These results indicate that, in hemodialysis patients, the severity of SAS and nocturnal hypoxia correlated positively with markers of inflammation and oxidative stress., (© 2017 International Society for Hemodialysis.)

Background: Several studies assessing the role of obstructive sleep apnea syndrome (OSAS) as an independent risk factor for hypertension have produced conflicting results. Although the sleep apnea syndrome is associated with hypertension, there are no references regarding the blood pressure response of normotensive OSAS patients during exercise., Study Objectives: The aim of this study was to investigate the relationship between diastolic blood pressure (DBP) response during exercise and the severity of OSAS., Methods: We performed exercise testing a day after polysomnography in 17 normotensive males who were admitted for the first time because of OSAS and in 10 normal subjects who were members of the same families. During maximal incremental exercise test (bicycle ergometry) oxygen consumption (VO(2)) and the DBP were estimated at rest and at peak exercise. VO(2) was also measured when DBP were 100 and 110 mm Hg., Results: At peak exercise DBP was significantly higher in OSAS patients (115.3 +/- 9.2 mm Hg) than in normal subjects (101 +/- 8.4 mm Hg, p < 0.01). OSAS patients reached a DBP of 110 mm Hg with a significantly lower VO(2) than normal subjects (1,881.5 +/- 703.4 vs. 1,972.3 +/- 108.6 ml/min, p = 0.045). VO(2) was not different between the two groups at a DBP of 100 mm Hg (1,211.2 +/- 371.7 vs. 1,536.6 +/- 267.2 ml/min, p = 0.089) but OSAS patients had a significantly lower heart rate than normals (111.2 +/- 13 vs. 118.6 +/- 27.6, p = 0.009). None of the aspects of quality of life, according to the Nottingham Health Profile Questionnaire, Part 1, were significantly different between patients and normal subjects., Conclusions: Normotensive OSAS patients develop DBP elevation at an earlier stage during exercise compared to normal subjects. This hypertensive response was not correlated with the severity (apnea-hypopnea index, oxygen desaturation parameters) of OSAS. DBP elevation could be a limiting factor of physical performance in this group of patients.

The connection between smoking and Obstructive sleep apnea (OSA) is not yet clear. There are studies that have confirmed the effect of smoking on sleep disordered breathing, whereas others did not. Nicotine affects sleep, as smokers have prolonged total sleep and REM latency, reduced sleep efficiency, total sleep time, and slow wave sleep. Smoking cessation has been related with impaired sleep. The health consequences of cigarette smoking are well documented, but the effect of smoking cessation on OSA has not been extensively studied. Smoking cessation should improve OSA as upper airway oedema may reduce, but there is limited data to support this hypothesis. The impact of smoking cessation pharmacotherapy on OSA has been studied, especially for nicotine replacement therapy (NRT). However, there are limited data on other smoking cessation medications as bupropion, varenicline, nortriptyline, clonidine, and cytisine. The aim of this review was to explore the current evidence on the association between smoking and OSA, to evaluate if smoking cessation affects OSA, and to investigate the possible effects of different pharmacologic strategies offered for smoking cessation on OSA. [ABSTRACT FROM AUTHOR]

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Background: Different questionnaires have been used to evaluate patients with Obstructive sleep apnea/hypopnea syndrome (OSAHS). The 4-Variable screening tool (4-V) was developed and validated in Asian population for identifying moderate to severe OSAHS. Aims and Objectives: To evaluate the ability of 4-V to identify patients at high risk for OSAHS in a European Population visiting a Sleep Clinic. Methods: 1057 (73.8% males), 52±14 years, BMI 33±7kg/m², Epworth Sleepiness Scale (ESS) 11.5±5.4 and Apnea Hypopnea Index (AHI) 32.7±26.5 were included. All patients had an in laboratory sleep study and 4-V was calculated. Results: The mean 4-V score was 13.3±2.5. Sensitivities of 4-V≥11 for AHI ≥5, ≥15 and ≥30 were 78%, 79% and 81%, respectively; specificities 40.8%, 36%, 32%; positive predictive values (PPV) 84.3%, 71%, 52%; negative predictive values (NPV) 31%, 46.5%, 65% and area under the ROC curve at AHI≥ 15 was 0.58. For 4-V ≥14, sensitivities for AHI ≥5, ≥15 and ≥30 were 50.7%, 55% and 61%, respectively; specificities 78%, 74.4%, 69%; PPV 90.3%, 81%, 64%; NPV 27.9%, 45%, 66% and area under the ROC curve at AHI≥ 15 was 0.68. The 4-V differed significantly between no and mild and between moderate and severe OSAHS, but not between mild and moderate OSAHS in both genders. Sensitivity was better in men, but specificity was higher in women. Conclusion: In Caucasians the 4-V≥14 had low sensitivity and NPV, rather good specificity and PPV. For a cut-off≥11, sensitivity was better but specificity was low. However the predictive values differed between genders. [ABSTRACT FROM AUTHOR]