nCPAP Treatment of Obstructive Sleep Apnea Increases Slow Wave Sleep in Prefrontal EEG

2007 ◽  
Vol 38 (3) ◽  
pp. 148-154 ◽  
Author(s):  
Veera Eskelinen ◽  
Toomas Uibu ◽  
Sari-Leena Himanen

According to standard sleep stage scoring, sleep EEG is studied from the central area of parietal lobes. However, slow wave sleep (SWS) has been found to be more powerful in frontal areas in healthy subjects. Obstructive sleep apnea syndrome (OSAS) patients often suffer from functional disturbances in prefrontal lobes. We studied the effects of nasal Continuous Positive Airway Pressure (nCPAP) treatment on sleep EEG, and especially on SWS, in left prefrontal and central locations in 12 mild to moderate OSAS patients. Sleep EEG was recorded by polysomnography before treatment and after a 3 month nCPAP treatment period. Recordings were classified into sleep stages. No difference was found in SWS by central sleep stage scoring after the nCPAP treatment period, but in the prefrontal lobe all night S3 sleep stage increased during treatment. Furthermore, prefrontal SWS increased in the second and decreased in the fourth NREM period. There was more SWS in prefrontal areas both before and after nCPAP treatment, and SWS increased significantly more in prefrontal than central areas during treatment. Regarding only central sleep stage scoring, nCPAP treatment did not increase SWS significantly. Frontopolar recording of sleep EEG is useful in addition to central recordings in order to better evaluate the results of nCPAP treatment.

2020 ◽  
Author(s):  
Weijun Huang ◽  
Xiaoting Wang ◽  
Yuenan Liu ◽  
Xinyi Li ◽  
Yupu Liu ◽  
...  

Abstract Objectives: Slow wave sleep (SWS) and obstructive sleep apnea (OSA) have attracted more and more attention. Their joint effect on insulin resistance (IR) remains to be further studied. This study explored whether less SWS influences the relationship between OSA and IR.Methods: We enrolled potential participants in our sleep center from 2007 to 2019. We collected demographic and clinical characteristics and gauged the IR status. SWS was derived from polysomnography data. Logistic regression analyses were used to reveal the associations between SWS and IR.Results: In all, 6966 participants (5709 OSA and 1257 primary snoring [PS] subjects) were enrolled. Less SWS increases the risk of IR in OSA patients but not in PS patients. OSA patients with SWS < 6.5% were more likely to have IR than those with SWS > 21.3%. OSA was an independent risk factor for IR after adjusting for all potential confounding factors. In stratified analyses according to the percentage of SWS, patients with OSA with SWS < 6.5% had 38.2% higher odds of IR than the PS group after adjusting for all potential confounders. Conclusions: Less SWS is associated with higher odds for IR in OSA patients but not in PS patients. OSA is independently correlated with IR. In addition, OSA combined with an extreme lack of SWS has a more harmful effect on the status of IR than OSA itself.


Hypertension ◽  
2020 ◽  
Vol 75 (2) ◽  
pp. 516-523 ◽  
Author(s):  
Rong Ren ◽  
Naima Covassin ◽  
Ye Zhang ◽  
Fei Lei ◽  
Linghui Yang ◽  
...  

SLEEP ◽  
2016 ◽  
Vol 40 (2) ◽  
Author(s):  
Luigi Taranto-Montemurro ◽  
Scott A. Sands ◽  
Bradley A. Edwards ◽  
Ali Azarbarzin ◽  
Melania Marques ◽  
...  

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A458-A458
Author(s):  
D Kim ◽  
W Shin ◽  
J Byun

Abstract Introduction The wearable device may be useful in monitoring sleep. Many studies reported reliable data in detecting sleep-wake states and sleep stage proportion in healthy adults, However, only a few validation studies were performed evaluating sleep using the wearable devices in patients with obstructive sleep apnea(OSA), which showed insufficient accuracy. We aimed to evaluate the reliability of multi-sensory wristband (Fitbit Charge 2) in patients with OSA. Methods This was a preliminary analysis of a prospective single-center observational study. Consecutive patients underwent standard Polysomnography (PSG) for evaluation of OSA with Fitbit Charge 2. Sleep data from PSG and Fitbit charge 2 were compared using paired t-tests and Bland-Altman plots. Results A total of eighty-six patients were analyzed. Four of them had poor data quality, 18 of them did not show sleep stages. Compared with the PSG, Fitbit Charge 2 showed higher total sleep time (419.1±194.0 vs 269.8±22.6, p&lt;0.001) and sleep efficiency (95.8±2.5 vs 84.6±7.1, p&lt;0.001). Those with sleep stage data showed higher sleep efficacy (87.7±5.5 vs 82.37.5, p=0.024) and a lower proportion of N1 sleep (33.7±19.9 vs 65.3±38.8, p=0.01). Conclusion Fitbit Charge 2 showed limited utility in monitoring sleep in patients with obstructive sleep apnea. Support none


SLEEP ◽  
2018 ◽  
Vol 41 (suppl_1) ◽  
pp. A213-A213
Author(s):  
R Ren ◽  
Y Zhang ◽  
L Yang ◽  
J Zhou ◽  
L Tan ◽  
...  

2021 ◽  
Vol 11 (3) ◽  
pp. 282
Author(s):  
Katharina Bahr ◽  
Vincent Geisler ◽  
Tilman Huppertz ◽  
Sergiu Groppa ◽  
Christoph Matthias ◽  
...  

Background: We investigated whether the number, duration and intensity of respiratory arousals (RA) on C3-electroencephalographic (EEG) recordings correlate with polysomnography (PSG)-related disease severity in obstructive sleep apnea (OSA) patients. We also investigated if every patient might have an individual RA microstructure pattern, independent from OSA-severity. Methods: PSG recordings of 20 OSA patients (9 female; age 27–80 years) were analyzed retrospectively. Correlation coefficients were calculated between RA microstructure (duration, EEG-intensity) and RA number and respiratory disturbance index (RDI), oxygen desaturation index (ODI) and arousal index (AI). Intraclass correlations (ICC) for both RA duration and intensity were calculated. Sleep stage-specific and apnea- and hypopnea-specific analyses were also done. The probability distributions of duration and intensity were plotted, interpolated with a kernel which fits the distribution. A Bayesian posterior distribution analysis and pair-wise comparisons of each patient with all other 19 patients were performed. Results: Of the analyzed 2600 RA, strong positive correlations were found between average RA intensity and both RDI and AI. The number of PSG-recorded RA was strongly positively correlated with RDI. Significant correlations between average RA intensity in REM, NREM2 and NREM3 sleep stages and total ODI were identified. No sleep stage-specific correlations of arousal microstructure with age, sex, RDI or AI were identified. Although between-subjects ICC values were <0.25, within-subject ICC values were all >0.7 (all p < 0.05). While apnea-related RA duration did not differ from hypopnea-related RA duration, RA intensity was significantly higher (p = 0.00135) in hypopneas than in apneas. A clear individual pattern of arousal duration for each patient was made distinct. For arousal intensity, a Gaussian distribution was identified in most patients. The Bayesian statistics regarding the arousal microstructure showed significant differences between each pair of patients. Conclusions: Each individual patient with OSA might have an individual pattern of RA intensity and duration indicating a distinct individual pathophysiological feature. Arousal intensity was significantly higher in hypopneic than in apneic events and may be related causally to the diminished (compared to apneas) respiratory distress associated with hypopneas. RA intensity in REM, NREM2 and NREM3 strongly correlated with ODI.


1987 ◽  
Vol 116 (1) ◽  
pp. 95-101 ◽  
Author(s):  
Steven J. Goldstein ◽  
Richard H. K. Wu ◽  
Michael J. Thorpy ◽  
Robert J. Shprintzen ◽  
Robert E. Marion ◽  
...  

Abstract. Obstructive sleep apnea may lead to disordered sleep architecture and impair the physiologic slow wave sleep related growth hormone release. Obstructive sleep apnea occurs with craniofacial syndromes and in children with airway narrowing, pharyngeal hypoplasia, tonsillar adenoidal hypertrophy, micrognathia and achondroplasia. To examine the relationship between disordered sleep and growth hormone release we studied a 9 year old male with achondroplasia, growth failure (3 cm/year) and obstructive sleep apnea. Polysomnography data and a 20 min sampling for sleep entrained growth hormone showed before therapeutic tracheostomy numerous apneic episodes, absent slow wave sleep and abnormal low growth hormone secretion during sleep. Normalized slow wave sleep entrained growth hormone secretion after tracheostomy led to a sustained increase in growth rate. Normal growth rate (> 5 cm/year) continues 2 years after tracheostomy. We conclude that obstructive sleep apnea may impair sleep related growth hormone release. Obstructive sleep apnea may be a useful model for other diseases in which growth failure and sleep disturbances are linked.


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