scholarly journals Increased prevalence of obstructive sleep apnea in women diagnosed with endometrial or breast cancer

PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0249099
Author(s):  
Ayey Madut ◽  
Veronika Fuchsova ◽  
Hong Man ◽  
Shabeel Askar ◽  
Ritu Trivedi ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Endometrial Cancer ◽  
Sleep Apnea ◽  
Small Sample Size ◽  
Small Sample ◽  
Apnea Hypopnea Index ◽  
Cross Sectional ◽  
Obstructive Sleep ◽  
Incidence And Mortality ◽  
High Prevalence

Background Epidemiological studies demonstrate associations between obstructive sleep apnea (OSA) and cancer incidence and mortality. The aim of this study was to measure OSA in women with breast (BC) or endometrial cancer (EC) and associations with clinico-pathological tumor variables. Methods and findings In a cross sectional study, women with BC (12 months) or EC (3 months) post-diagnosis were recruited from cancer clinics. We collected demographic, anthropometric data, cancer stage, grade, histopathology and history of cancer treatment and all subjects had in-laboratory polysomnography. Sleepiness was assessed with the Epworth Sleepiness Scale (ESS). We compared anthropometric and polysomnographic data between cancer groups (unpaired t-tests), and assessed relationships between cancer characteristics and OSA variables (Fishers exact test). There were no significant differences between average age (BC:59.6±8.7 years(n = 50); EC:60.3±7.7 years(n = 37)), or ESS score (BC:6.4±4.4; EC 6.8±4.7; mean±SD; all p>0.2), however, BMI was higher in EC (BC: 29.7±7.9kgm-2; EC: 34.2±8.0 kgm-2; p<0.05). BC had longer sleep latency (BC:31.8±32minutes; EC:19.3±17.9 minutes), less Stage 3 sleep (BC:20.0±5.2%; EC:23.6±8.2%) and more REM sleep (BC:21.1±6.9%; EC: 16.6±5.7%), all p<0.05. EC had lower average awake and asleep oxygen saturation levels (BC: 95.6±1.3%; EC: 94.6±1.9% [awake]: BC: 94.8±2.1%; EC: 93.3±2.4% [asleep]; both p<0.05). Apnea-Hypopnea Index (AHI) (BC: 21.2(7.3–36.9) events/hr; EC: 15.7 (10–33.5) events/hour (median (interquartile range)) was not different p = 0.7), however, 58% and 57% of women with BC and EC respectively, had an AHI>15 events/hour. In this small sample size group, no significant associations (all p>0.1) were detected between OSA metrics and clinico-pathological tumor variables. Conclusion In postmenopausal women with breast or endometrial cancer there is high prevalence of OSA, with no association with specific tumor characteristics detected. Recognition of the high prevalence of OSA in women with cancer is important to recognise as it may impact on surgical risk and quality of life.

565 Adherence to Auto-Titrating CPAP in Children with Trisomy 21 and Obstructive Sleep Apnea

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A223-A223
Author(s):  
Lisa Barber ◽  
Chelsea Oheim ◽  
Andrew Valenzuela ◽  
James Tomkinson ◽  
Gregory Rodden ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Trisomy 21 ◽  
Small Sample Size ◽  
Small Sample ◽  
Apnea Hypopnea Index ◽  
Cpap Titration ◽  
Included Patient ◽  
Obstructive Sleep ◽  
Adherence Data

Abstract Introduction Obstructive sleep apnea (OSA) is common in children with trisomy 21. The pathophysiology can be multifactorial and challenging to manage. Auto-titrating continuous positive airway pressure (autoCPAP) is an emerging tool for the treatment of pediatric OSA and few studies discuss adherence. This study compares autoCPAP adherence in children with and without trisomy 21 at our center. We hypothesized that autoCPAP adherence would not differ between the two groups. Methods A retrospective review of patients aged 0 to 18 years with a diagnosis of OSA as defined by the International Classification of Sleep Disorders Third Edition, and empirically prescribed autoCPAP between 2012 and 2020 was conducted. Patients without available polysomnography or adherence data were excluded. Data included patient demographics, baseline polysomnography characteristics, and autoCPAP usage. Adherence was defined as usage ≥ 4 hours/night on 70% of nights during a consecutive 30-day period as per the Centers for Medicare and Medicaid Services criteria. Descriptive statistics and non-parametric tests were utilized for analysis. Results There were 130 total patients included with a mean age of 12.5 years ± a standard deviation of 4.1 years. Seventeen children (13%) had trisomy 21. No statistically significant differences were observed between the trisomy 21 group (T21) and the non-trisomy 21 group (non-T21) with respect to the obstructive apnea hypopnea index (9.5 ± 11.2 in T21, 14.7 ± 22.3 in non-T21, p=0.61), or the oxygen saturation nadir (87.8% ± 4.2% in T21, 84.4% ± 10.8% in non-T21, p=0.57). The percentage of days used ≥ 4 hours in a 30-day period did not significantly differ (52.3% ± 42% in T21, and 49.5% ± 37.5% in non-T21, p=0.64). While 41% of T21 subsequently underwent a CPAP titration for a suboptimal response to autoCPAP (for reasons including intolerance, persistent snoring, or daytime sleepiness), this did not differ significantly from 23% in non-T21 (p=0.11). Conclusion Although limited by a small sample size, our data suggest that adherence to autoCPAP did not differ between the trisomy 21 and non-trisomy 21 groups of children with OSA. Empiric autoCPAP is a reasonable treatment option for children with OSA who are not surgical candidates, including those with trisomy 21. Support (if any):

scholarly journals Cerebral metabolic rate of oxygen in obstructive sleep apnea at rest and in response to breath-hold challenge

2015 ◽  
Vol 36 (4) ◽  
pp. 755-767 ◽  
Author(s):  
Zachary B Rodgers ◽  
Sarah E Leinwand ◽  
Brendan T Keenan ◽  
Lohith G Kini ◽  
Richard J Schwab ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Metabolic Rate ◽  
Small Sample Size ◽  
Small Sample ◽  
Cerebrovascular Reactivity ◽  
Apnea Hypopnea Index ◽  
Breath Hold ◽  
Cerebral Metabolic Rate ◽  
Obstructive Sleep

Obstructive sleep apnea (OSA) is associated with extensive neurologic comorbidities. It is hypothesized that the repeated nocturnal apneas experienced in patients with OSA may inhibit the normal apneic response, resulting in hypoxic brain injury and subsequent neurologic dysfunction. In this study, we applied the recently developed OxFlow MRI method for rapid quantification of cerebral metabolic rate of oxygen (CMRO2) during a volitional apnea paradigm. MRI data were analyzed in 11 OSA subjects and 10 controls (mean ± SD apnea-hypopnea index (AHI): 43.9 ± 18.1 vs. 2.9 ± 1.6 events/hour, P < 0.0001; age: 53.8 ± 8.2 vs. 45.3 ± 8.5 years, P = 0.027; BMI: 36.6 ± 4.4 vs. 31.9 ± 2.2 kg/m2, P = 0.0064). Although total cerebral blood flow and arteriovenous oxygen difference were not significantly different between apneics and controls ( P > 0.05), apneics displayed reduced baseline CMRO2 (117.4 ± 37.5 vs. 151.6 ± 29.4 µmol/100 g/min, P = 0.013). In response to apnea, CMRO2 decreased more in apneics than controls (−10.9 ± 8.8 % vs. −4.0 ± 6.7 %, P = 0.036). In contrast, group differences in flow-based cerebrovascular reactivity were not significant. Results should be interpreted with caution given the small sample size, and future studies with larger independent samples should examine the observed associations, including potential independent effects of age or BMI. Overall, these data suggest that dysregulation of the apneic response may be a mechanism for OSA-associated neuropathology.

Abstract TMP55: Polysomnographic and Sleep-related Variables Associated to Leukoaraiosis in Patients with Obstructive Sleep Apnea

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Kevin R Duque ◽  
Brian Villafuerte ◽  
Fiorella Adrianzen ◽  
Rodrigo Zamudio ◽  
Andrea Mendiola ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Logistic Regression ◽  
Sleep Apnea ◽  
Multinomial Logistic Regression ◽  
Sleep Time ◽  
Cross Sectional Study ◽  
Apnea Hypopnea Index ◽  
Cross Sectional ◽  
Obstructive Sleep ◽  
Medical Histories

Introduction: Obstructive sleep apnea (OSA) is a biological plausible risk factor for leukoaraiosis (LA). We tested the hypothesis that polysomnographic (PSG) and sleep-related variables are associated to LA in OSA patients. Methods: Cross-sectional study in which PSG records, medical histories and brain 1.5T MRI were collected from all consecutive patients who had attended a Sleep Medicine Center between 2009-2014. LA was graded from 0 to 9 with the ’Atherosclerosis Risk In Communities’ study scale. OSA was defined by The International Classification of Sleep Disorders, 2014, and its severity categorizing according to apnea-hypopnea index (AHI, <15 mild, 15 to <30 moderate, 30 to <45 severe and ≥45 very severe). A multinomial logistic regression was performed to describe the association between OSA severity and LA (divided into 2 groups: mild-to-moderate LA and non-to-minimal LA). The covariates for all regression models were age, gender, BMI, hypertension, ischemic stroke, myocardial infarction, diabetes and pack-year of smoking. Results: From 82 OSA patients (77% male; mean age 58±9 years, range 19-91), 54 (66%) had LA. Mild-to-moderate LA was found in 13 patients (8 mild and 5 moderate LA) and non-to-minimal LA in 69 (41 minimal and 28 non LA). Spearman’s correlation coefficient between AHI and LA grade was 0.41 (p<0.001). Furthermore, the higher OSA severity, the higher LA severity (p<0.001, for Jonckheere-Terpstra test for ordered alternatives). In the multinomial logistic regression model adjusted for cofounders, severe OSA patients had higher risk for mild or moderate LA (HR 12.8, 95% IC 1.2-141) compared to mild-to-moderate OSA patients. Additionally, self-reported habitual sleep duration from 7 to 9 hours (HR 0.36, 90% IC 0.14-0.90) and proportion of time in apnea/hypopnea over total sleep time (HR 1.04 for one unit increase, 90% IC 1.01-1.08) could be associated with the presence of LA (adjusted only for age and gender). In a multiple regression analysis with all the aforementioned variables, age (p=0.002), diabetes (p=0.003), and OSA severity (p=0.04) were predictors of the presence of LA. Conclusion: Patients with severe OSA had higher risk for mild to moderate LA when compared to patients with mild or moderate OSA.

Utility of Neck, Height, and Tonsillar Size to Screen for Obstructive Sleep Apnea among Obese Youth

2017 ◽  
Vol 158 (4) ◽  
pp. 745-751 ◽  
Author(s):  
Indra Narang ◽  
Suhail Al-Saleh ◽  
Reshma Amin ◽  
Evan J. Propst ◽  
Saadoun Bin-Hasan ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Predictive Ability ◽  
Ambulatory Setting ◽  
Apnea Hypopnea Index ◽  
Predictive Tool ◽  
Anthropometric Measures ◽  
Cross Sectional ◽  
Obese Youth ◽  
Obstructive Sleep

Objectives To determine whether neck:height ratio combined with adenoid and tonsillar size is a good predictive tool for obstructive sleep apnea in obese youth. Study Design Cross-sectional study. Setting Sleep clinics at the Hospital for Sick Children, Toronto, Canada. Subjects and Methods Consented obese individuals aged 8 to 18 years were recruited between 2013 and 2015. Anthropometric measures were obtained by a trained research coordinator in a standardized manner. Otolaryngologists evaluated adenoid and tonsil sizes. Obstructive sleep apnea was diagnosed with an overnight polysomnogram as an obstructive apnea-hypopnea index ≥2. Multivariable logistic regressions investigated the relationship between potential predictors and obstructive sleep apnea. The C-statistic measured the predictive ability. Results Of the 53 subjects (median age, 13 years; 55% males), 28 (53%) were diagnosed with obstructive sleep apnea, with a median index of 10.6 per hour. In a logistic regression controlling for adenoid size, enlarged tonsils were significantly associated with the presence of obstructive sleep apnea ( P < .01). Adding neck:height ratio into the model improved the model predictive ability (C-index increased from 0.73 to 0.84). Controlling for tonsil and adenoid sizes, an increase in neck:height ratio was significantly associated with the presence of obstructive sleep apnea ( P = .01). Conclusion Our study suggests that neck:height ratio combined with tonsillar hypertrophy may have a strong predictive ability for obstructive sleep apnea and may be useful in an ambulatory setting to screen obese youth at high risk. These findings should be confirmed in a larger study.

scholarly journals Factors predictive of obstructive sleep apnea in patients undergoing pre-operative evaluation for bariatric surgery and referred to a sleep laboratory for polysomnography

2015 ◽  
Vol 41 (5) ◽  
pp. 440-448 ◽  
Author(s):  
Ricardo Luiz de Menezes Duarte ◽  
Flavio José Magalhães-da-Silveira
Keyword(s):  
Bariatric Surgery ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Good Accuracy ◽  
Apnea Hypopnea Index ◽  
Roc Curve Analysis ◽  
Obstructive Sleep ◽  
High Prevalence ◽  
Risk Patients ◽  
Operative Evaluation

Objective: To identify the main predictive factors for obtaining a diagnosis of obstructive sleep apnea (OSA) in patients awaiting bariatric surgery. Methods: Retrospective study of consecutive patients undergoing pre-operative evaluation for bariatric surgery and referred for in-laboratory polysomnography. Eight variables were evaluated: sex, age, neck circumference (NC), BMI, Epworth Sleepiness Scale (ESS) score, snoring, observed apnea, and hypertension. We employed ROC curve analysis to determine the best cut-off value for each variable and multiple linear regression to identify independent predictors of OSA severity. Results: We evaluated 1,089 patients, of whom 781 (71.7%) were female. The overall prevalence of OSA-defined as an apnea/hypopnea index (AHI) ≥ 5.0 events/h-was 74.8%. The best cut-off values for NC, BMI, age, and ESS score were 42 cm, 42 kg/m2, 37 years, and 10 points, respectively. All eight variables were found to be independent predictors of a diagnosis of OSA in general, and all but one were found to be independent predictors of a diagnosis of moderate/severe OSA (AHI ≥ 15.0 events/h), the exception being hypertension. We devised a 6-item model, designated the NO-OSAS model (NC, Obesity, Observed apnea, Snoring, Age, and Sex), with a cut-off value of ≥ 3 for identifying high-risk patients. For a diagnosis of moderate/severe OSA, the model showed 70.8% accuracy, 82.8% sensitivity, and 57.9% specificity. Conclusions: In our sample of patients awaiting bariatric surgery, there was a high prevalence of OSA. At a cut-off value of ≥ 3, the proposed 6-item model showed good accuracy for a diagnosis of moderate/severe OSA.

Obstructive Sleep Apnea in Acromegaly and the Effect of Treatment: A Systematic Review and Meta-Analysis

2019 ◽  
Vol 105 (3) ◽  
pp. e23-e31 ◽  
Author(s):  
Matteo Parolin ◽  
Francesca Dassie ◽  
Luigi Alessio ◽  
Alexandra Wennberg ◽  
Marco Rossato ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Meta Analysis ◽  
Upper Airway ◽  
Apnea Hypopnea Index ◽  
Cross Sectional ◽  
Obstructive Sleep ◽  
Before And After ◽  
The Difference

Abstract Background Obstructive sleep apnea (OSA) is a common disorder characterized by upper airway collapse requiring nocturnal ventilatory assistance. Multiple studies have investigated the relationship between acromegaly and OSA, reporting discordant results. Aim To conduct a meta-analysis on the risk for OSA in acromegaly, and in particular to assess the role of disease activity and the effect of treatments. Methods and Study Selection A search through literature databases retrieved 21 articles for a total of 24 studies (n = 734). Selected outcomes were OSA prevalence and apnea-hypopnea index (AHI) in studies comparing acromegalic patients with active (ACT) vs inactive (INACT) disease and pretreatment and posttreatment measures. Factors used for moderator and meta-regression analysis included the percentage of patients with severe OSA, patient sex, age, body mass index, levels of insulin-like growth factor 1, disease duration and follow-up, and therapy. Results OSA prevalence was similar in patients with acromegaly who had ACT and INACT disease (ES = −0.16; 95% CI, −0.47 to 0.15; number of studies [k] = 10; P = 0.32). In addition, AHI was similar in ACT and INACT acromegaly patients (ES = −0.03; 95% CI, −0.49 to 0.43; k = 6; P = 0.89). When AHI was compared before and after treatment in patients with acromegaly (median follow-up of 6 months), a significant improvement was observed after treatment (ES = −0.36; 95% CI, −0.49 to −0.23; k = 10; P &lt; 0.0001). In moderator analysis, the percentage of patients with severe OSA in the populations significantly influenced the difference in OSA prevalence (P = 0.038) and AHI (P = 0.04) in ACT vs INACT patients. Conclusion Prevalence of OSA and AHI is similar in ACT and INACT patients in cross-sectional studies. However, when AHI was measured longitudinally before and after treatment, a significant improvement was observed after treatment.

scholarly journals 0722 The Association Between Obstructive Sleep Apnea and Neurobehavioural Function in Men: A Large, Population-Based Cohort Study

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A274-A275
Author(s):  
J L Parker ◽  
R J Adams ◽  
S L Appleton ◽  
Y A Melaku ◽  
A Vakulin
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Total Sleep Time ◽  
Sleep Time ◽  
Inspection Time ◽  
Sleep Disruption ◽  
Clinical Samples ◽  
Apnea Hypopnea Index ◽  
Cross Sectional ◽  
Obstructive Sleep

Abstract Introduction Obstructive sleep apnea (OSA) is linked with impaired vigilance, attention, memory and executive function. However, this evidence largely comes from small experimental studies or larger studies in clinical samples and therefore the scope and magnitude of OSA driven neurobehavioural dysfunction in the general population remains unclear. This study aimed to examine the cross-sectional association between OSA and neurobehavioural function in a large community sample of men. Methods A total of 837 participants from the Men Androgen Inflammation Lifestyle Environment and Stress (MAILES) study, a longitudinal cohort of men 40+ years, underwent full overnight polysomnography. Participants completed the inspection time (IT) test, mini-mental state examination (MMSE), Fuld object memory evaluation (FOME), and trail-making test (TMT) part A (TMT-A) and part B (TMT-B). Using regression models adjusted for multiple important covariates, we examined the association between neurobehavioural function scores, clinical metrics of OSA severity (Apnea-Hypopnea Index (AHI); percentage total sleep time with oxygen saturation &lt;90% (TST90), and measures of sleep disruption (duration of rapid eye movement (REM) and non-REM (NREM) sleep; and total sleep time (TST). Results In multivariable linear regressions, greater TST was associated with worse IT scores (B=13.688, 95% CI [0.134, 27.241], P=0.048) and TMT-B scores (B=19.255, 95% CI [0.931, 37.578], P=0.040). In logistic regressions, greater TST was associated with better MMSE scores (Odds ratio [OR]=0.440, 95% CI [0.194, 0.997], P=0.049); and higher AHI was strongly associated with worse FOME scores in fully adjusted models (OR=1.358, 95% CI [1.252, 1.472], P&lt;0.001). Conclusion The AHI and TST were positively, significantly associated with neurobehavioural function across different domains. This cross-sectional data shows that neurobehavioural function deficits in OSA are directly related to sleep and breathing disruptions. Future large prospective studies are needed to determine if OSA and sleep disruption predict future onset of neurobehavioural dysfunction and cognitive decline. Support National Health and Medical Research Council and the Adelaide Institute for Sleep Health.

scholarly journals 0709 Using The Sleep Adjusted Residual Apnea Hypopnea Index In The Real-World Monitoring Of Obstructive Sleep Apnea

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A270-A270
Author(s):  
E Viteri ◽  
V McGhee ◽  
J V Tackett ◽  
A X Freire
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Sleep Time ◽  
Small Sample ◽  
Apnea Hypopnea Index ◽  
Sleep Study ◽  
Convenience Sample ◽  
Obstructive Sleep ◽  
Adjusted Residual

Abstract Introduction Treatment efficacy of obstructive sleep apnea (OSA) depends on controlling respiratory events for the majority of sleep time. Apnea-hypopnea index (AHI) and adherence are frequently used to determine efficacy of continuous positive airway (CPAP) therapy, but fail to capture the effect of residual events during untreated sleep-time. The Sleep Adjusted Residual AHI (SARAHI) consolidates treated and untreated AHI and CPAP use into a single number: SARAHI = [(Untreated AHI × Hours Untreated) + (Treated AHI × Hours Treated)] / (Total Sleep Hours). We attempted to determine the clinical applicability of this index as a determinant of OSA control and its relation with sleepiness improvement. Methods As part of a quality assessment project, a convenience sample was haphazardly collected from a database of patients initiated on CPAP in a Veteran’s Affairs Hospital. Patients initiating treatment after OSA diagnosis by polysomnogram or portable sleep study were included. Information from a CPAP-download within a year of diagnosis and Epworth Sleepiness Scale (ESS) at diagnosis and follow-up were collected. SARAHI was calculated using two different measures of “total sleep hours”: 8 hours (SARAHI-8hrs) or recorded sleep time during sleep study (SARAHI-PSG). Results Thirteen patients (12 male) with a mean age of 53.3 years were included. At diagnosis, mean AHI was 26.0 events/hour and ESS was 14.6. At follow-up, CPAP mean adherence was 338 min and average use was 61.8% of days; mean residual AHI was 4.4 events/hour and mean ESS 13.7. SARAHI-8hrs was 16.0 events/hour and SARAHI-PSG was 13.8 events/hr. Simple linear regression did not show a significant correlation between ESS improvement and either of these indexes or with improvement in AHI. Conclusion SARAHI showed no correlation with ESS in this small sample. We recommend further research as SARAHI is simple to use and provides more information than currently used parameters. Support None

Association between Flexible Nasal Endoscopy, Polysonography Findins and Obstructive Sleep Apnea Severety

2021 ◽  
Vol 9 (3) ◽  
pp. 01-06
Author(s):  
Zappelini CEM ◽  
Jeremias LA ◽  
Borba IN ◽  
Machado LZ ◽  
Nicoladelli SJ ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Rem Sleep ◽  
Sleep Stage ◽  
Upper Airway ◽  
Inverse Correlation ◽  
Apnea Hypopnea Index ◽  
Upper Airways ◽  
Cross Sectional ◽  
Obstructive Sleep

Introduction: Obstructive Sleep Apnea (OSA) is a condition with recurrent collapses of the pharyngeal region that result in partial or total reduction in airflow. Its diagnosis and severity depends on the Apnea-Hypopnea Index (AHI), data from the polysomnography exam (PSG). Its pathophysiology includes anatomical disorders of the upper airways that can be assessed through Flexible Nasofibroscopy (FN). Objective: To identify the alterations present in the tests of FN and PSG in patients with OSA and correlate with the AHI. Methods: Cross-sectional study, with data collected from reports of the FN and PSG exams of 81 patients with OSA, seen at an otorhinolaryngology clinic in Tubarão - SC. It was verified the association between the outcome –AHI- and other exposure variables - sociodemographic and clinical. Results: Among the 81 patients, 75.31% were male, 41.98% had mild apnea, 30.86% moderate and 27.16% severe apnea. There was no correlation between FN findings and AHI (p> 0.05). There was a difference between the mean age, number of obstructive episodes per hour of sleep and minimum saturation between the groups with severe and mild apnea (p <0.05). Patients with severe apnea had a higher percentage of sleep phase one and a shorter REM sleep time compared to the mild apnea group (p <0.05). A positive correlation was obtained between: obstructive episodes with sleep stage 1 (p <0.01) and age (p <0.05); between minimum saturation and sleep stage 3 (p <0.05). There was an inverse correlation between obstructive episodes with minimal saturation (p <0.001), with sleep stage 3 (p <0.01) and with REM sleep (p <0.01); between age and minimum saturation (p <0.01). Conclusion: OSA directly interferes with sleep architecture. The present study did not find association between upper airway alterations and OSA severity.

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