Obstructive sleep apnea and depression

Exploring the bidirectional causal association between Sleep Apnea Syndrome and Depression: A Mendelian randomization study involving gut microbiota, serum metabolites, and inflammatory factors

OBJECTIVE

This study aimed to investigate the potential causal association between Sleep Apnea Syndrome (SAS) and Depression, focusing on the roles of gut microbiota, serum metabolites, and inflammatory factors in these conditions.

METHODS

Mendelian Randomization (MR) analysis was performed using data from genome-wide association studies to assess 211 types of gut microbiota, 1400 serum metabolites, and 91 inflammatory factors as potential contributing factors. Causal inference was conducted using the Inverse Variance Weighted (IVW) method, with additional robustness checks through Cochran's Q test, MR-Egger regression intercept test, MR-PRESSO global test, and leave-one-out analysis.

RESULTS

The MR analysis indicated a positive correlation between the risk of SAS and Depression (OR = 1.12, 95 % CI: 1.05-1.19, P < 0.001), with a reciprocal analysis showing a similar positive correlation between Depression and the risk of SAS (OR = 1.19, 95 % CI: 1.07-1.31, P = 0.001). Additionally, causal associations were identified between 15 types of gut microbiota, 36 serum metabolites, and 2 inflammatory factors with SAS, and between 11 types of gut microbiota, 23 serum metabolites, and 3 inflammatory factors with Depression (IVW, all P < 0.05). The robustness of these findings was confirmed through the MR-Egger regression intercept test and MR-PRESSO global test.

CONCLUSION

This study provides epidemiological evidence of a bidirectional causal association between SAS and Depression, emphasizing the potential roles of gut microbiota, serum metabolites, and inflammatory factors in the pathogenesis of these disorders. These findings may inform the development of new therapeutic strategies.

Trends in Soft Palate Surgery and Reimbursements for Obstructive Sleep Apnea Among the Medicare Population

OBJECTIVES

This study aims to analyze trends in utilization and reimbursement of soft palate surgery for OSA using the Medicare national database.

METHODS

A retrospective analysis of the 2000 to 2021 Part B National Summery datafiles using current Procedural Terminology (CPT) codes 42145 (uvulopalatopharyngoplasty [UPPP]), 42950 (pharyngoplasty [PP]), and 42140 (uvulectomy [UVU]) was performed.

RESULTS

Between 2000 and 2021, the number of OSA surgeries fell 65.7% from 4208 to 1443. UPPP fell 87.6% from 3455 in 2000 to 428 in 2021 (P < .001). UVU also fell in popularity, from 568 to 376 (33.8%; P < .001). In contrast, the performance of PP rose 245.4% over time, from 185 to 639 (P < .001). When comparing 2000 to 2009, both PP and UVU rose in relative use (from 4.4% to 12.3% and from 13.5% to 20.4% of all soft palate OSA surgeries, respectively), while UPPP fell (82.1% to 67.3%; P < .001). Total Medicare payments for all 3 procedures fell 57.2% from $1 658 844 to $633 091 (P < .001). Adjusted total UPPP payments fell 88.7% (P < .001). Adjusted total PP payment rose 137.5% to $262 538 in 2021 (P < .001).

CONCLUSION

Soft palate surgery for OSA has declined amongst the Medicare population over 21 years (2000-2021). The more individualized and tissue sparing PP has risen in popularity but did not overcome the large decline of the traditional UPPP. Accordingly, there was a 75.7% fall in inflation-adjusted reimbursements. Overall, our data indicates a decline in soft palate surgery in the management of geriatric OSA, with modest relative increase in pharyngoplasty procedures.

Insomnia, OSA, and Mood Disorders: The Gut Connection

PURPOSE OF REVIEW

With the growing body of research examining the link between sleep disorders, including insomnia and obstructive sleep apnea (OSA), and the gut microbiome, this review seeks to offer a thorough overview of the most significant findings in this emerging field.

RECENT FINDINGS

Current evidence suggests a complex association between imbalances in the gut microbiome, insomnia, and OSA, with potential reciprocal interactions that may influence each other. Notably, specific gut microbiome species, whether over- or under-abundant, have been associated with variation in both sleep and mood in patients diagnosed with, e.g., major depressive disorder or bipolar disorder. Further studies are needed to explore the potential of targeting the gut microbiome as a therapeutic approach for insomnia and its possible effects on mood. The variability in current scientific literature highlights the importance of establishing standardized research methodologies.

Sleep and periodontal health

Sleep is fundamental for health and well-being. An adequate amount and quality of sleep is a cardinal component of a healthy lifestyle at the basis of the prevention of many non-communicable chronic diseases. Recent evidence suggests that sleep disorders, particularly obstructive sleep apnea, represent an emerging risk factor for periodontal health. This review article provides a critical appraisal of the existing literature concerning the association between sleep duration, sleep quality, sleep disorders in general, and obstructive sleep apnea with periodontal diseases, including gingivitis and periodontitis. The putative mechanisms underlying these associations are described as well as the potential clinical implications for diagnosis and treatment.

Prolonged intermittent hypoxia differentially regulates phrenic motor neuron serotonin receptor expression in rats following chronic cervical spinal cord injury

Low-dose (< 2 h/day), acute intermittent hypoxia (AIH) elicits multiple forms of serotonin-dependent phrenic motor plasticity and is emerging as a promising therapeutic strategy to restore respiratory and non-respiratory motor function after spinal cord injury (SCI). In contrast, high-dose (> 8 h/day), chronic intermittent hypoxia (CIH) undermines some forms of serotonin-dependent phrenic motor plasticity and elicits pathology. CIH is a hallmark of sleep disordered breathing, which is highly prevalent in individuals with cervical SCI. Interestingly, AIH and CIH preconditioning differentially impact phrenic motor plasticity. Although mechanisms of AIH-induced plasticity in the phrenic motor system are well-described in naïve rats, we know little concerning how these mechanisms are affected by chronic SCI or intermittent hypoxia preconditioning. Thus, in a rat model of chronic, incomplete cervical SCI (lateral spinal hemisection at C2 (C2Hx), we assessed serotonin type 2A, 2B and 7 receptor expression in and near phrenic motor neurons and compared: 1) intact vs. chronically injured rats; and 2) the impact of preconditioning with varied "doses" of intermittent hypoxia (IH). While there were no effects of chronic injury or intermittent hypoxia alone, CIH affected multiple receptors in rats with chronic C2Hx. Specifically, CIH preconditioning (8 h/day; 28 days) increased serotonin 2A and 7 receptor expression exclusively in rats with chronic C2Hx. Understanding the complex, context-specific interactions between chronic SCI and CIH and how this ultimately impacts phrenic motor plasticity is important as we leverage AIH-induced motor plasticity to restore breathing and other non-respiratory motor functions in people with chronic SCI.

Risk of Comorbid Insomnia Disorder Associated with Major Depression in Apneic Patients: A Cross-Sectional Study

Given the limitations of available studies, the objective of this study was to explore the role played by current and remitted major depression in the occurrence of comorbid insomnia disorder for apneic patients. Data from 1488 apneic patients were extracted from the medical reports of polysomnographic recordings available in the database of the Sleep Laboratory. The presence of comorbid insomnia disorder in these apneic patients was defined based on the diagnostic criteria of the American Academy of Sleep Medicine Work Group. The risk of comorbid insomnia disorder associated with current or remitted major depression in apneic patients was investigated using multivariate logistic regression models. After adjustment for the main confounding factors, multivariate logistic regression analyses revealed that remitted and current major depression were significantly associated with the occurrence of comorbid insomnia disorder in apneic patients. The findings of this study seem to indicate that comorbid insomnia disorder could be a residual symptom and a marker of major depression in apneic patients, which justifies the establishment of an adequate treatment for major depressive episodes and their potential residual symptoms to allow the better management of comorbid insomnia disorder and the better prevention of its potential negative consequences in this particular subpopulation.

The study of the relationship between moderate to severe sleep obstructive apnea and cognitive impairment, anxiety, and depression

Objective

The present study endeavored to investigate the interconnection between obstructive sleep apnea (OSA) and cognitive function, alongside the manifestations of depression and anxiety. Simultaneously, an analysis was conducted to discern the factors exerting influence upon cognitive function.

Methods

A cohort of 102 patients, who had undergone polysomnography (PSG) at Binhu Hospital, Anhui Medical University, between January 2022 and June 2023, was encompassed in the study. Employing the PSG findings, these individuals were classified into two distinct categories: the grouping consisted of those with either negligible or mild OSA, and the other comprised individuals with moderate to severe OSA. Utilizing the Montreal Cognitive Assessment (MoCA-Beijing), Stroop Color and Word Test (SCWT), Digit Span Test (DST), Self-rating Depression Scale (SDS), and Self-rating Anxiety Scale (SAS), scores were recorded and analysed for each of the respective assessments. Additionally, discrepancies and associations between these groups were also scrutinized.

Results

The group exhibiting moderate to severe OSA demonstrated significantly elevated measurements in parameters such as neck circumference, BMI, completion times for SCWT-A, B, C, Sleep Inefficiency Index (SIE), SAS, and SDS, in comparison to the No or Mild OSA group. Furthermore, the moderate-severe OSA group manifested notably diminished MoCA scores in areas of visual-spatial and executive function, memory, language, abstraction, delayed recall, orientation, total MoCA score, lowest oxygen saturation (LSaO2), average oxygen saturation, Digit Span Test-backward(DST-b), and Digit Span Test-forward(DST-f), as contrasted with the no-mild OSA group. These inter-group disparities exhibited statistical significance (p < 0.05). The MoCA total score portrayed inverse correlations with age, Apnea-Hypopnea Index (AHI), BMI, SIE, SAS, SDS, CT90%, AHT90%, and Hypoxic Apnea Duration (HAD) (ranging from -0.380 to -0.481, p < 0.05). Conversely, it displayed positive correlations with DST-f, DST-b, LSaO2, and average oxygen saturation (ranging from 0.414 to 0.744, p < 0.05). Neck circumference, AHI, and SAS were autonomously linked to MoCA scores (OR = 1.401, 1.028, 1.070, p < 0.05), while AHI exhibited an independent correlation with SDS and SAS scores (OR = 1.001, p = 0.003).

Conclusion

Patients grappling with moderate to severe OSA frequently reveal cognitive impairment and concomitant emotional predicaments encompassing depression and anxiety. These manifestations share an intimate association with AHI, LSaO2, and average oxygen saturation. Notably, anxiety, when coupled with OSA, emerges as an autonomous influential element impinging upon cognitive impairment.

Latent profile analysis of depression in US adults with obstructive sleep apnea hypopnea syndrome

Objective

This study used latent profile analysis to explore the level of depression among US adults with obstructive sleep apnea hypopnea syndrome (OSAHS) symptoms and to identify different latent categories of depression to gain insight into the characteristic differences between these categories.

Methods

The data of this study were obtained from the National Health and Nutrition Examination Survey (NHANES) database, and the subjects with OSAHS symptoms were aged 18 years and older. The latent profile analysis (LPA) method was used to fit the latent depression categories in subjects with OSAHS symptoms. The chi-square test, rank sum test, and binary logistic regression were used to analyze the influencing factors of depression subgroups in subjects with OSAHS symptoms.

Results

Three latent profiles were identified: low-level (83.7%), moderate-level (14.5%) and high-level (1.8%) depression. The scores of 9 items in the high-level depression group were higher than those in the other two groups. Among them, item 4 "feeling tired or lack of energy" had the highest score in all categories.

Conclusion

Depression in subjects with OSAHS symptoms can be divided into low-level, moderate-level and high-level depression. There are significant differences among different levels of depression in gender, marital status, PIR, BMI, smoking, general health condition, sleep duration and OSAHS symptom severity.

A machine learning model to predict the risk of depression in US adults with obstructive sleep apnea hypopnea syndrome: a cross-sectional study

Objective

Depression is very common and harmful in patients with obstructive sleep apnea hypopnea syndrome (OSAHS). It is necessary to screen OSAHS patients for depression early. However, there are no validated tools to assess the likelihood of depression in patients with OSAHS. This study used data from the National Health and Nutrition Examination Survey (NHANES) database and machine learning (ML) methods to construct a risk prediction model for depression, aiming to predict the probability of depression in the OSAHS population. Relevant features were analyzed and a nomogram was drawn to visually predict and easily estimate the risk of depression according to the best performing model.

Study design

This is a cross-sectional study.

Methods

Data from three cycles (2005-2006, 2007-2008, and 2015-2016) were selected from the NHANES database, and 16 influencing factors were screened and included. Three prediction models were established by the logistic regression algorithm, least absolute shrinkage and selection operator (LASSO) algorithm, and random forest algorithm, respectively. The receiver operating characteristic (ROC) area under the curve (AUC), specificity, sensitivity, and decision curve analysis (DCA) were used to assess evaluate and compare the different ML models.

Results

The logistic regression model had lower sensitivity than the lasso model, while the specificity and AUC area were higher than the random forest and lasso models. Moreover, when the threshold probability range was 0.19-0.25 and 0.45-0.82, the net benefit of the logistic regression model was the largest. The logistic regression model clarified the factors contributing to depression, including gender, general health condition, body mass index (BMI), smoking, OSAHS severity, age, education level, ratio of family income to poverty (PIR), and asthma.

Conclusion

This study developed three machine learning (ML) models (logistic regression model, lasso model, and random forest model) using the NHANES database to predict depression and identify influencing factors among OSAHS patients. Among them, the logistic regression model was superior to the lasso and random forest models in overall prediction performance. By drawing the nomogram and applying it to the sleep testing center or sleep clinic, sleep technicians and medical staff can quickly and easily identify whether OSAHS patients have depression to carry out the necessary referral and psychological treatment.

Improved depressive symptoms, and emotional regulation and reactivity, in individuals with obstructive sleep apnea after short- and long-term CPAP therapy use

Obstructive Sleep Apnoea (OSA) is associated with high rates of depression; however, if and how treatment of OSA improves depressive symptoms is unclear. To further understand this link we considered the role of emotional regulation - the ability to control and express our emotional responses - thought to be a central component of depression. This study aimed to assess changes in depressive symptoms and emotional responses in individuals with OSA after 4- and 12-months of continuous positive airway pressure (CPAP) treatment. One-hundred and twenty-one OSA participants (50 female, Mage = 51.93; mean AHI = 36.27) were recruited from a tertiary clinical sleep service prior to CPAP initiation, and randomised to either a CPAP group or a 4 month wait-list group. Participants completed the Center for Epidemiological Studies Depression Scale, the Emotional Reactivity Scale and the Difficulties in Emotion Regulation Scale at baseline, and 1-, 2-, and 4-months follow-up. The CPAP group also completed the questionnaires 12-months after CPAP initiation. CPAP use at 1 month and 12 months was 5.1h/night and 4.9h/night, respectively. Significant improvements in depressive symptoms, emotional regulation and reactivity, and subjective sleepiness were observed after 4 months in both groups, however, the within group changes were only significant for those using CPAP. After 12-months of CPAP treatment, these improvements were maintained. There was no association between CPAP treatment adherence and improvements in any outcome. CPAP treatment for 12 months may reduce symptoms of depression and improve emotional regulation in individuals with OSA.

Association of socioeconomic deprivation with sleep health in patients with type 2 diabetes

AIMS

To investigate the association between socioeconomic deprivation and indicators of sleep health among patients with type 2 diabetes mellitus (T2DM), and additionally, to examine whether socioeconomic deprivation is associated with higher glycated haemoglobin (HbA1c) levels in these patients.

MATERIALS AND METHODS

We analysed data from the UK Biobank, consisting of 17 206 participants with T2DM, to explore the relationship between socioeconomic deprivation, self-reported indicators of sleep health, and HbA1c levels. Socioeconomic deprivation was assessed using the Townsend deprivation index. Participants were divided into two groups: low socioeconomic deprivation (n = 8604; reference group) and high socioeconomic deprivation (n = 8602). Logistic regression models were employed, adjusting for covariates such as body mass index (BMI), age, and biological sex.

RESULTS

Patients with high socioeconomic deprivation had higher odds of reporting usual difficulties falling asleep or sleeping through the night (adjusted odds ratio 1.20, 95% confidence interval [CI] 1.12, 1.28), and they were more likely to use at least one hypnotic medication (adjusted odds ratio 1.41, 95% CI 1.09, 1.84). They also had higher odds of reporting snoring and difficulties staying awake during the daytime (adjusted odds ratio 1.09, 95% CI 1.01, 1.18), as well as experiencing short sleep duration (defined as <6 hours of sleep per day; adjusted odds ratio 1.69, 95% CI 1.50, 1.91). Moreover, patients with high socioeconomic deprivation had increased odds of experiencing comorbid sleep problems (P ≤ 0.001). Finally, high socioeconomic deprivation was associated with a 0.1% higher HbA1c level (P < 0.001). Controlling for indicators of poor sleep health did not alter the strength of this association.

CONCLUSIONS

Socioeconomic deprivation may represent a risk factor for poor sleep health in patients with T2DM.

Effect of depression on phase coherence between respiratory sinus arrhythmia and respiration during sleep in patients with obstructive sleep apnea

Introduction: A high prevalence of major depressive disorder (MDD) among Obstructive Sleep Apnea (OSA) patients has been observed in both community and clinical populations. Due to the overlapping symptoms between both disorders, depression is usually misdiagnosed when correlated with OSA. Phase coherence between respiratory sinus arrhythmia (RSA) and respiration (λ RSA-RESP) has been proposed as an alternative measure for assessing vagal activity. Therefore, this study aims to investigate if there is any difference in λ RSA-RESP in OSA patients with and without MDD. Methods: Electrocardiograms (ECG) and breathing signals using overnight polysomnography were collected from 40 OSA subjects with MDD (OSAD+), 40 OSA subjects without MDD (OSAD-), and 38 control subjects (Controls) without MDD and OSA. The interbeat intervals (RRI) and respiratory movement were extracted from 5-min segments of ECG signals with a single apneic event during non-rapid eye movement (NREM) [353 segments] and rapid eye movement (REM) sleep stages [298 segments]. RR intervals (RRI) and respiration were resampled at 10 Hz, and the band passed filtered (0.10-0.4 Hz) before the Hilbert transform was used to extract instantaneous phases of the RSA and respiration. Subsequently, the λ RSA-RESP between RSA and Respiration and Heart Rate Variability (HRV) features were computed. Results: Our results showed that λ RSA-RESP was significantly increased in the OSAD+ group compared to OSAD- group during NREM and REM sleep. This increase was accompanied by a decrease in the low frequency (LF) component of HRV. Discussion: We report that the phase synchronization index between RSA and respiratory movement could provide a useful measure for evaluating depression in OSA patients. Our findings suggest that depression has lowered sympathetic activity when accompanied by OSA, allowing for stronger synchronization between RSA and respiration.

Cognitive Functions, Depressive and Anxiety Symptoms After One Year of CPAP Treatment in Obstructive Sleep Apnea

Objective

The study worked with depressive symptoms, anxiety score and cognitive functions in obstructive sleep apnea (OSA) patients treated with CPAP.

Methods

Eighty-one subjects with OSA and without psychiatric comorbidity were treated with CPAP for one year and completed the following scales and cognitive tests: Trail Making Test, Verbal Fluency Test, d2 Test, Beck Depression Inventory-II and Beck Anxiety Inventory. MINI ruled out psychiatric disorder. At the two months check-up, subjects were re-evaluated for depressive and anxiety symptoms, and after one year of CPAP treatment, subjects repeated cognitive tests and scales. Data about therapy adherence and effectiveness were obtained from the patient's CPAP machines.

Results

The study was completed by 59 CPAP adherent patients and eight non-adherent patients. CPAP therapy effectiveness was verified in all patients by decreasing the apnea-hypopnoea index below 5 and/or 10% of baseline values. The adherent patients significantly improved depressive and anxiety symptoms. There was also an improvement in overall performance in the attention test; however, performance in many individual items did not change. The adherent patients also improved verbal fluency and in the Part B of the Trail making test. The non-adherent group significantly increased the number of mistakes made in the d2 test; other results were non-significant.

Conclusion

According to our results, OSA patients' mood, anxiety and certain cognitive domains improved during the one-year therapy with CPAP.

Trial Registration Number

NCT03866161.

Anxiety and depressive symptoms on continuous positive airway pressure: long-term adherence in patients with sleep apnea syndrome

BACKGROUND

Obstructive sleep apnea (OSA) is often associated to mood disorders and anxiety symptoms that may influence negatively the treatment approach. However, the relationship between anxiety, depression and adherence to treatment is still unclear. We investigate the presence of anxiety and depressive symptoms in newly diagnosed OSA patients and the link between psychological symptoms and acceptance or adherence to CPAP after one year.

METHODS

A validated Italian questionnaire for anxiety and depressive symptoms was administered to 249 patients (69F) with a mean age of 57.2±12.2 and a mean AHI of 40.9±21.9 (ev*hr^-1). The CPAP use in the first and last night of acclimatization and one year after prescription was 6.4±2.2, 6.9±1.4 and 5.3±2.2 hr, respectively.

RESULTS

Anxiety symptoms were reported by 15.6% of patients, depressive symptoms by 6% while 12.5% reported both anxiety and depressive symptoms. Adherence to CPAP in the first night was not adequate in 19.7% of patients with relevant difference between groups: 16.4% in AD^-,20.5% in A⁺,13.3% in D⁺ and 38.7% in AD⁺ (χ²=8.6; P=0.03). However, at the end of acclimatization period only 4.4% of patients utilized CPAP<5/h. One-year after prescription the adherence was adequate in 74.7% of patients without difference between groups. A Cox proportional hazard model demonstrated that AHI (OR=0.985, 95% CI: 0.97-0.99; P=0.03) and compliance to CPAP at the first night of use (OR=0.445; 95% CI: 0.246-0.8; P=0.007) are the only predictive factors of long-term compliance.

CONCLUSIONS

Presence of anxiety and depressive symptoms should be checked before PAP titration since they may negatively influence the early acclimatization and adherence.

Comorbid Major Depressive Disorder and Obstructive Sleep Apnea

Introduction

Major depressive disorder (MDD) and obstructive sleep apnoea (OSA) are prevalent in the general population. Moreover, early studies found that the two conditions are associated bidirectionally and lead to poor health outcomes. The prevalence of comorbid MDD in OSA patients could be as high as two-thirds. A sedentary lifestyle and psychological stress in the globalisation age may increase the risk of MDD and OSA.

Method

We reported a case of an MDD patient with OSA as well as discussed the assessment method and also reviewed the treatment of both conditions. We aimed to raise awareness for psychiatrists to differentiate other medical conditions when the symptomatology of MDD is atypical and unresponsive to standard psychiatric treatment.

Conclusion

Early detection and effective treatment for MDD and OSA are essential to achieve patient outcomes. Furthermore, it can reduce complications from both conditions. Therefore, a comprehensive evaluation should be made to determine the diagnoses when physicians suspect overlapping MDD and OSA.

Associations between depression and cardiometabolic health: A 27-year longitudinal study

BACKGROUND

Clarifying the relationship between depression symptoms and cardiometabolic and related health could clarify risk factors and treatment targets. The objective of this study was to assess whether depression symptoms in midlife are associated with the subsequent onset of cardiometabolic health problems.

METHODS

The study sample comprised 787 male twin veterans with polygenic risk score data who participated in the Harvard Twin Study of Substance Abuse ('baseline') and the longitudinal Vietnam Era Twin Study of Aging ('follow-up'). Depression symptoms were assessed at baseline [mean age 41.42 years (s.d. = 2.34)] using the Diagnostic Interview Schedule, Version III, Revised. The onset of eight cardiometabolic conditions (atrial fibrillation, diabetes, erectile dysfunction, hypercholesterolemia, hypertension, myocardial infarction, sleep apnea, and stroke) was assessed via self-reported doctor diagnosis at follow-up [mean age 67.59 years (s.d. = 2.41)].

RESULTS

Total depression symptoms were longitudinally associated with incident diabetes (OR 1.29, 95% CI 1.07-1.57), erectile dysfunction (OR 1.32, 95% CI 1.10-1.59), hypercholesterolemia (OR 1.26, 95% CI 1.04-1.53), and sleep apnea (OR 1.40, 95% CI 1.13-1.74) over 27 years after controlling for age, alcohol consumption, smoking, body mass index, C-reactive protein, and polygenic risk for specific health conditions. In sensitivity analyses that excluded somatic depression symptoms, only the association with sleep apnea remained significant (OR 1.32, 95% CI 1.09-1.60).

CONCLUSIONS

A history of depression symptoms by early midlife is associated with an elevated risk for subsequent development of several self-reported health conditions. When isolated, non-somatic depression symptoms are associated with incident self-reported sleep apnea. Depression symptom history may be a predictor or marker of cardiometabolic risk over decades.

Frequency-specific alterations in intrinsic low-frequency oscillations in newly diagnosed male patients with obstructive sleep apnea

Purpose

Previous studies found abnormal low-frequency spontaneous brain activity related to cognitive impairment in patients with obstructive sleep apnea (OSA). However, it is unclear if low-frequency spontaneous brain activity is related to specific frequency bands in OSA patients. In this study, we used the amplitude of low-frequency fluctuation (ALFF) method in patients with OSA to explore characteristics of spontaneous brain activity in the classical (0.01–0.1 Hz) and five sub-frequency bands (slow-2 to slow-6) and analyzed the relationship between spontaneous brain activity and clinical evaluation was analyzed.

Patients and methods

Resting-state magnetic resonance imaging data and clinical assessments were collected from 52 newly-diagnosed OSA patients and 62 healthy controls (HCs). We calculated the individual group ALFF values in the classical and five different sub-frequency bands. A two-sample t-test compared ALFF differences, and one-way analysis of variance explored interactions in frequency bands between the two groups.

Results

ALFF values in the OSA group were lower than those in the HC group in the bilateral precuneus/posterior cingulate cortex, bilateral angular gyrus, left inferior parietal lobule, brainstem, and right fusiform gyrus. In contrast, ALFF values in the OSA group were higher than those in the HC group in the bilateral cerebellum posterior lobe, bilateral superior frontal gyrus, bilateral middle frontal gyrus, left inferior frontal gyrus, left inferior temporal gyrus, and left fusiform gyrus. Some ALFF values in altered brain regions were associated with body mass index, apnea-hypopnea index, neck circumference, snoring history, minimum SaO₂, average SaO₂, arousal index, oxygen reduction index, deep sleep period naming, abstraction, and delayed recall in specific frequency bands.

Conclusion

Our results indicated the existence of frequency-specific differences in spontaneous brain activity in OSA patients, which were related to cognitive and other clinical symptoms. This study identified frequency-band characteristics related to brain damage, expanded the cognitive neuroimaging mechanism, and provided additional OSA neuroimaging markers.

The multisystemic effects of oral appliance therapy for obstructive sleep apnea: A narrative review

Obstructive sleep apnea (OSA) is a chronic condition accompanied by repeated obstruction of the upper airway during sleep despite respiratory efforts, resulting in intermittent hypoxemia, altered sleep structure, and sympathetic activation. Previous studies have shown a significant association between OSA and general health issues such as cardiovascular diseases, endocrine disorders, neurocognitive function decline, and poor quality of life. Continuous positive airway pressure (CPAP) has been considered as the first line treatment for OSA. However, accumulating evidence supports the role of oral appliance (OA) therapy, including mandibular advancement devices, as an alternative option for snoring and OSA patients who do not comply with or refuse CPAP usage. Despite a generally favorable outcome of OA therapy for OSA related respiratory indices, studies focusing on the impact of systemic effects of OA therapy in OSA patients are relatively scarce compared with the extensive literature focusing on the systemic effects of CPAP. Therefore, this article aimed to provide an overview of the current evidence regarding the multisystemic effects of OA therapy for OSA.

Association of Excessive Sleepiness, Pathological Fatigue, Depression, and Anxiety With Different Severity Levels of Obstructive Sleep Apnea

Objective

The aim of this study was to investigate possible associations between obstructive sleep apnea and fatigue. This naturally led to considering the association between OSA and excessive sleepiness, depression, and anxiety.

Background

OSA is a highly prevalent sleep disorder, associated with a risk of hypertension, cardiovascular events, daytime sleepiness, poor cognitive function, and sudden death during sleep. Both excessive sleepiness, fatigue, and symptoms of depression are frequently reported.

Method

5,464 patients referred to a university hospital for obstructive sleep apnea underwent standard respiratory polygraphy. The severity of OSA was defined as either mild, moderate, or severe, using the apnea–hypopnea index. Validated questionnaires were used to assess excessive sleepiness, pathological fatigue, depression, and anxiety.

Results

Nearly 70% of the patients were men, and median age was 50 (range: 16–89) years. One in three had moderate-to-severe OSA (AHI ≥ 15). Excessive sleepiness and pathological fatigue were present in 43 and 39%, respectively. The prevalence of possible depression and anxiety was 19 and 28%, respectively. The proportion of patients with male sex, obesity, and excessive sleepiness increased with the severity of OSA. In contrast, the proportion of patients with pathological fatigue did not increase with OSA severity, and there was a decrease in depression and anxiety with increasing OSA severity.

Conclusion

Our study reports that pathological fatigue, as well as anxiety and depression, did not increase with OSA severity, whereas excessive sleepiness did. Knowledge concerning conditions related to OSA severity may be indicative of pretest probability of OSA and thus change the priority for polygraphy. Furthermore, the high prevalence rates of fatigue, anxiety, and depression among these patients warrant further investigations.

Fatigue Monitoring Through Wearables: A State-of-the-Art Review

The objective measurement of fatigue is of critical relevance in areas such as occupational health and safety as fatigue impairs cognitive and motor performance, thus reducing productivity and increasing the risk of injury. Wearable systems represent highly promising solutions for fatigue monitoring as they enable continuous, long-term monitoring of biomedical signals in unattended settings, with the required comfort and non-intrusiveness. This is a p rerequisite for the development of accurate models for fatigue monitoring in real-time. However, monitoring fatigue through wearable devices imposes unique challenges. To provide an overview of the current state-of-the-art in monitoring variables associated with fatigue via wearables and to detect potential gaps and pitfalls in current knowledge, a systematic review was performed. The Scopus and PubMed databases were searched for articles published in English since 2015, having the terms "fatigue," "drowsiness," "vigilance," or "alertness" in the title, and proposing wearable device-based systems for non-invasive fatigue quantification. Of the 612 retrieved articles, 60 satisfied the inclusion criteria. Included studies were mainly of short duration and conducted in laboratory settings. In general, researchers developed fatigue models based on motion (MOT), electroencephalogram (EEG), photoplethysmogram (PPG), electrocardiogram (ECG), galvanic skin response (GSR), electromyogram (EMG), skin temperature (T_sk), eye movement (EYE), and respiratory (RES) data acquired by wearable devices available in the market. Supervised machine learning models, and more specifically, binary classification models, are predominant among the proposed fatigue quantification approaches. These models were considered to perform very well in detecting fatigue, however, little effort was made to ensure the use of high-quality data during model development. Together, the findings of this review reveal that methodological limitations have hindered the generalizability and real-world applicability of most of the proposed fatigue models. Considerably more work is needed to fully explore the potential of wearables for fatigue quantification as well as to better understand the relationship between fatigue and changes in physiological variables.

Association between depression and sleep apnoea: a Mendelian randomisation study

Background

Studies have reported a close relationship between depression and sleep apnoea, yet it is unknown whether these are causally related. Thus, we aimed to determine whether depression is associated with the aetiology of sleep apnoea.

Methods

We used publicly available genetic summary data from two large consortia: the Psychiatric Genomics Consortium, with data from 36 single-nucleotide polymorphisms (SNPs) closely associated with major depressive disorder (MDD), and the UK Biobank, including 456 736 patients with sleep apnoea and 766 964 controls. For Mendelian randomisation (MR) analysis, we used the inverse-variance weighted method, weighted median method, MR-Egger regression, MR pleiotropy residual sum and outlier test to retrieve summary data. Analyses were performed using the “TwoSampleMR” package in R.

Results

Out of the 36 SNPs associated with MDD, we found statistically significant evidence of a potential causal effect of MDD on the risk of sleep apnoea (OR 1.004, 95% CI 1.001–1.006; p=0.001). Similar results were obtained using the MR-Egger and weighted median methods. Additionally, we found no heterogeneity or pleiotropy.

Conclusions

Our findings suggest that depression slightly increases the risk of sleep apnoea. Further investigation of the potential biological mechanisms is necessary.

The results of this study show that depression has a potential causal relationship with a higher risk of sleep apnoea, providing evidence for the role of depression in sleep apnoeahttps://bit.ly/3CJavif

Comorbid obstructive sleep apnea and insomnia and its associations with mood and diabetes-related distress in type 2 diabetes mellitus

STUDY OBJECTIVES

Previous research suggests that obstructive sleep apnea (OSA) and insomnia frequently co-exist and are prevalent in persons with type 2 diabetes mellitus (T2DM). This study compared mood and diabetes-related distress among OSA, insomnia, and comorbid OSA and insomnia (OSA+I) groups in persons with T2DM.

METHODS

A secondary analysis was conducted with baseline data from two independent randomized controlled trials evaluating the efficacy of OSA and insomnia treatment. The pooled sample (N=224) included participants with OSA only (n=68 [30.4%]), insomnia only (n=107 [47.8%]), and OSA and insomnia (OSA+I; n=49 [21.9%]). OSA was defined as an apnea-hypopnea index ≥ 15 events per hour; insomnia defined as an Insomnia Severity Index score ≥ 15. Mood was measured by the Profile of Mood States total and subscale scores; diabetes-related distress was assessed by the Problem Areas in Diabetes. One-way analysis of covariance and multivariate analysis of covariance were conducted, controlling for demographic characteristics and restless leg syndrome.

RESULTS

The insomnia group had on average significantly higher scores for total mood disturbance (insomnia vs. OSA= 45.32 vs. 32.15, p=.049), tension-anxiety (insomnia vs. OSA= 12.64 vs. 9.47, p=.008), and confusion-bewilderment (insomnia vs. OSA= 9.45 vs. 7.46, p=.036) than OSA group. The OSA+I group had on average significantly greater diabetes-related distress than OSA group (OSA+I vs. OSA= 40.61 vs. 30.97, p=.036).

CONCLUSIONS

Insomnia may have greater impact on mood disturbance and diabetes-related distress than OSA in persons with T2DM. In particular, comorbid insomnia may contribute to greater diabetes-related distress in persons with T2DM and OSA.

The relationships between obstructive sleep apnea and psychiatric disorders: a narrative review

Introduction: Obstructive sleep apnea (OSA) is the most common sleep-related breathing disorder. Its prevalence tends to increase worldwide. Untreated sleep apnea is associated with a higher risk of metabolic diseases, cardiovascular diseases, stroke, road accidents, and death, but also it is suggested that it increases the risk of mental disorders.

Method: The literature review was based on a search of articles on Medline, Pubmed, and Google Scholar from 2003 to 2021 using the keywords: obstructive sleep apnea; mental disorders; cognitive functions; affective disorders; depression; bipolar disorder; schizophrenia; psychotic disorders. The analysis included original studies, meta-analysis, and review articles.

Discussion: The result obtained from researches published so far does not allow for drawing unequivocal conclusions. There is a lot of bias present in study protocols and inclusion/exclusion criteria. Nonetheless, it seems that some disorders have a better proven correlation with OSA. Cognitive impairment, depression, and anxiety disorders are linked to OSA not only in terms of the overlapping of symptoms but also of a causal relationship. Psychotic disorders and bipolar disorders connections with OSA are confirmed, but they are not yet well understood. All correlations are found to be possibly bidirectional.

Conclusion: 1. Multiple lines of evidence increasingly point towards a bidirectional connection between OSA and mental disorders, and the cause and effect relationship between these two groups of disorders requires further research.

2. Due to reports of an increased risk of OSA with antipsychotic drugs, caution should be exercised when initiating therapy with this type of drug in patients with known risk factors for it.

3. Screening for OSA in psychiatric patients should be introduced as OSA can increase cognitive impairment, affective, and psychotic symptoms.

A preliminary study on the relationship between sleep, depression and cardiovascular dysfunction in a 4 sample population

Background

Major Depressive Disorder (MDD) has been linked in the literature to poorer prognosis in patients with cardiovascular dysfunction, although the mechanisms of this relationship remain unclear. Underlying Sleep Disordered Breathing (SDB) serves as a potential candidate to explain this effect due to its downstream effects on inflammatory activation and decreased nitric oxide (NO) bioavailability, both of which have been shown to contribute to the pathophysiology of both MDD and cardiovascular disease (CVD).

Methods

This study utilizes overnight polysomnography and an inflammation panel to examine the links between cardiovascular dysfunction and sleep difficulties in control participants and patients diagnosed with SDB only, MDD only, and both SDB and MDD.

Results

Results demonstrate a strong positive relationship between sleep dysfunction and the nitric oxide synthesis inhibitor Symmetric Dimethyl Arginine (SDMA) in the MDD-only cohort, suggesting a link between SDMA-mediated NO dysregulation and CVD pathogenesis in individuals with MDD. Additionally, hypopneas, a form of sleep impairment characterized by partial reduction of airflow, were found to play a significant role in the relationship between SDB and cardiovascular dysfunction in MDD-only patients.

Conclusions

Results of this study demonstrate the need for widespread screening for SDB in MDD populations to detect predisposition to CVD, and also offer SDMA as a new potential target for CVD treatment in individuals with MDD.

The public health burden of obstructive sleep apnea

Obstructive sleep apnea (OSA) is the most common respiratory disorder of sleep. The vast majority (>80%) of adults with moderate to severe OSA remain undiagnosed. The economic costs associated with OSA are substantial for both the individual and society as a whole; expenses are likely to be underestimated given that the disease remains undiagnosed in such a large percentage of individuals. The economic burden of motor vehicle collisions related to OSA alone is significant; it is estimated that 810,000 collisions and 1400 fatalities from car crashes in the United States were attributable to sleep apnea in 2000. The many health consequences of OSA include daytime sleepiness, reduced quality of life, decreased learning skills, and importantly, neurocognitive impairments that include impaired episodic memory, executive function, attention and visuospatial cognitive functions. Untreated OSA leads to numerous medical problems such as cardiovascular diseases that can potentially increase healthcare utilization. Untreated patients with sleep apnea consume a disproportionate amount of healthcare resources, expenditures that decrease after treatment. The gold-standard management of OSA remains treatment with CPAP (Continuous Positive Airway Pressure), which is effective in eliminating sleep fragmentation and preserving nocturnal oxygenation, thereby improving daytime sleepiness and quality of life. However, its impacts in reversing neurocognitive function are still uncertain. A significant impediment to CPAP effectiveness is low adherence rates (ranges from 50% to 75%). It is commonly accepted that CPAP improves excessive drowsiness; hence meliorates attention, and accumulating data suggest that CPAP improves a variety of other outcomes such as the risk of motor vehicle crashes.

An Updated Review on the Relationship of Depressive Symptoms in Obstructive Sleep Apnea and Continuous Positive Airway Pressure

Obstructive sleep apnea (OSA) is a common sleep disorder occurring across all age groups, gender, and is multifactorial. The episodic decrease in airflow during sleep results in hypoxia and hypercapnia over time, resulting in morning headache, systemic and pulmonary hypertension, and polycythemia. Fragmentation of sleep at night-time cause daytime somnolence, fatigue, memory problems, and mood symptoms such as depression and anxiety. These secondary mood symptoms could be easily missed by healthcare providers as the primary disorder resulting in unnecessary anti-depressants' prescription. This study investigates the effect of continuous airway pressure (CPAP) on depressive symptoms of OSA. We used PubMed, PubMed Central (PMC), and MEDLINE for data collection. We used OSA, depression, anxiety, mood symptoms, psychological symptoms, and CPAP as the keywords, both alone and in combination. The search ended on November 5, 2020, and it was limited to the year 2010 until the day of the search. However, a few of the papers published earlier than 2010 were also included to have better insight into some aspects of the topic. We included articles measuring the impact of CPAP on mood symptoms using any one of the validated scales, such as the Beck Depression Inventory (BDI), the State-Trait Anxiety Inventory (STAI), Hospital Anxiety and Depression Scale (HADS), or Hamilton Depression Scale (HAM-D). Our initial searches yielded 131 articles. Twenty-one of the 131 papers satisfied the review's criteria. Four studies out of 21 revealed no improvement in OSA-related mood symptoms with CPAP therapy, whereas the others reported beneficial effects on mood, daytime sleepiness, cognition, and patient quality of life.

Risk assessment of obstructive sleep apnea syndrome and other sleep disorders in multiple sclerosis patients

BACKGROUND

The aim of the present study was to determine the possible risk of OSAS in patients with MS through the STOP-BANG questionnaire, and to confirm the pre-diagnosis of OSAS by recording polysomnographic investigation in individuals with high risk. In addition, the relationship between OSAS risk and fatigue, sleepiness, depression, and disability status will be examined.

METHODS

Totally 97 patients with multiple sclerosis including 36 males and 61 females with an age average of 39.92 ± 9.11 years. All participants completed the following questionnaires: STOP-Bang, Fatigue Severity Scale (FSS), Epworth sleepiness scale (ESS), Beck Depression Inventory (BDI); disability status of the participants was assessed by Expanded Disability Status Scale (EDSS). Polysomnographic sleep record was applied to the patients with high risk of OSAS according to STOP-BANG test scores.

RESULTS

The STOP_BANG questionnaire revealed that 24.7% of the patients were screened as high risk for OSA. Approximately 11.3% of the patients were detected positive for OSAS based on PSG recording. Comparison of MS patients with high risk of OSA with others suggested a significant difference in terms of the age (p = 0.01). ESS positive scores were significantly correlated with positive STOP BANG outcomes (p < 0.001). ESS positive scores were negatively correlated with positive PSG outcomes.

CONCLUSION

The prevalence of OSAS in MS patients based on questionnaire and PSG was found consistent with literature. Similar to the general population, increasing age was found as a risk factor for OSAS in patients with MS. STOP-BANG test may not be an adequate test to diagnose OSAS, especially in MS patients with high fatigue scores.

Increased Suicidality and Worse Outcomes in MDD Patients With OSA: A Nationwide Inpatient Analysis of 11 Years From 2006 to 2017

BACKGROUND

Major depressive disorder (MDD) is the most common psychiatric disorder characterized by changes in mood, cognition, and physical symptoms. MDD has an approximate 18% prevalence of comorbid OSA. Several studies have looked into plausible mechanisms that have shown a strong relationship between OSA and MDD.

OBJECTIVES

The primary objective of this study was to compare suicidal ideation/attempt among MDD patients with and without a comorbid diagnosis of OSA. The secondary objective was to compare the length of stay, total hospital charge, recurrent or severity of depression, and clinical comorbidities.

METHODS

Data were obtained from the National (Nationwide) Inpatient Sample dataset from 2006 to 2017. For data collection, we queried for all adult patients (age ≥ 18 y), with MDD as a primary indication of admission. Further, we categorized MDD patients with and without a secondary diagnosis of OSA. To reduce the imbalance in baseline characteristics between the groups, we performed one to one age-gender matching between MDD patients with and without OSA.

RESULTS

In the matched cohort, 79,308 patients were included in MDD with OSA and 78,792 patients in the MDD without OSA group. MDD patients with OSA were more likely to be racially white (80% vs 75%, P < 0.001), and to have more clinical comorbidities (hypertension, heart failure, obesity, and chronic lung disease). Prevalence of recurrent type of depression (77% vs 69%, P < 0.001) and moderate to severe depression (72% vs 68%, P < 0.001) was more likely in the MDD with OSA group. Further, suicidality (composite of suicidal ideation/attempt) was more in MDD with OSA (49.5%) compared to MDD without OSA (41.8%) (P < 0.001). In the multivariate analysis, MDD with OSA was associated with higher odds of suicidal ideation/act compared to MDD without OSA (adjusted odds ratio: 1.27, P < 0.001). The total length of stay was longer in the MDD with OSA group (7.4 vs 6.9 d, P < 0.001).

CONCLUSIONS

In our study, poorer outcomes were observed in patients with MDD and OSA. Hence, clinicians should be vigilant for symptoms of OSA in patients with recurrent MDD or treatment-resistant MDD. We recommend that a thorough suicide risk assessment should be conducted in MDD patients with OSA, and validated questionnaires should be a part of the evaluation.

Depression scores improve with continuous positive airway pressure in specialized sleep clinics: real-world data

STUDY OBJECTIVES

To assess changes in Hospital Anxiety and Depression Scale (HADS) scores after continuous positive airway pressure (CPAP) in patients with obstructive sleep apnea.

METHODS

Consecutive patients attending the Alfred Health sleep clinic, diagnosed with obstructive sleep apnea, and prescribed CPAP were recruited. The primary outcome was a change in the HADS depression (HADS-D) and anxiety (HADS-A) subscales from the time of diagnosis to follow-up. Secondary analysis compared high (> 4 hours) and low (< 4 hours) CPAP adherence groups and change in depression cases, defined by HADS-D ≥ 8, and anxiety cases, defined by HADS-A ≥ 11.

RESULTS

We included 108 participants in the final analysis. Adherence groups were well matched in baseline mood, sleepiness, and apnea variables. Overall age (mean ± standard deviation) was 56.1 ± 12.8 years, and there was a median (interquartile ratio) apnea-hypopnea-index of 42.7 (27.5-58.1) or median (interquartile ratio) oxygen-desaturation-index of 43.0 (26.0-74.0). The median duration of CPAP therapy was 1.3 years. The HADS-D decreased after CPAP by -1.4 (adjusted 95% confidence interval, -2.1 to -0.6; P = .001). Patients with high-CPAP adherence (n = 84) had a tendency towards a greater reduction in HADS-D (-1.5) compared with those with low-CPAP adherence (n = 24; -0.3; adjusted P = .19). Depression cases (HADS-D ≥ 8) decreased by 13.1% in the high-CPAP-adherence group (P = .03) and increased by 4.1% in the low-CPAP-adherence group (P = .71). The HADS-A decreased after CPAP by -1.8 (adjusted 95% confidence interval, -1.8 to -0.4; P = .004). There was no significant difference between adherence groups or anxiety cases (HADS-A > 11).

CONCLUSIONS

Specialized obstructive sleep apnea treatment with CPAP reduces depression scores, with a trend toward greater reduction in those with high CPAP adherence.

Association between symptoms of sleep apnea and problem behaviors in young adult twins and siblings

BACKGROUND

Sleep apnea is one of the most common sleep disorders and it is related to multiple negative health consequences. Previous studies have shown that sleep apnea is influenced by genetic factors. However, studies have not investigated the genetic and environmental influences of symptoms of sleep apnea in young adults. Furthermore, the underpinnings of the relationship between apnea symptoms and internalizing/externalizing problems are unknown. The objectives of this study were to estimate the magnitude of: (1) genetic and environmental influences on self-reported apnea symptoms; (2) the relationship between self-reported apnea symptoms and internalizing/externalizing traits; (3) genetic and environmental influences on the associations between self-reported apnea symptoms, internalizing behaviors and externalizing behaviors.

METHODS

In a twin/sibling study, univariate and multivariate models were fitted to estimate both individual variance and sources of covariance between symptoms of sleep apnea and internalizing/externalizing behaviors.

RESULTS

Our results show that genetic influences account for 40% of the variance in sleep apnea symptoms. Moreover, there are modest associations between depression, anxiety and externalizing behaviors with apnea symptoms (ranging from r = 0.22-0.29). However, the origins of these associations differ. For example, whereas most of the covariation between symptoms of depression and sleep apnea can be explained by genes (95%), there was a larger role for the environment (53%) in the association between symptoms of anxiety and sleep apnea.

CONCLUSIONS

Genetic factors explain a significant proportion of variance in symptoms of apnea and most of the covariance with depression.

Does continuous positive airways pressure treatment improve clinical depression in obstructive sleep apnea? A randomized wait-list controlled study

BACKGROUND

Obstructive sleep apnea (OSA) is a highly prevalent sleep disorder that is associated with a range of adverse daytime sequelae, including significantly higher rates of clinical depression than is seen in the general community. Improvements in depressive symptoms occur after treatment of the primary sleep disorder, suggesting that comorbid depression might be an intrinsic feature of OSA. However, there are limited data on whether treatment for OSA in patients diagnosed with clinical depression improves mood symptoms meaningfully enough to lead to the remission of the psychiatric diagnosis.

METHODS

N = 121 untreated OSA patients were randomized to either continuous positive airway pressure (CPAP) treatment or waitlist control, and depressive symptoms, sleepiness and clinical depression (using a structured clinical interview) were assessed at baseline and 4 months. Linear and logistic regression analyses were conducted, controlling for baseline scores, stratification factors and antidepressant use.

RESULTS

Depressive symptoms (odds ratio [OR] = -4.19; 95% confidence interval [CI] = -7.25, -1.13; p = .008) and sleepiness (OR = -4.71; 95% CI = -6.26, -3.17; p < .001) were significantly lower at 4 months in the CPAP group compared to waitlist. At 4 months, there was a significant reduction in the proportion of participants in the CPAP group meeting criteria for clinical depression, compared to the waitlist controls (OR = 0.06, 95% CI = 0.01, 0.37; p = .002).

CONCLUSION

Treatment of OSA may be a novel approach for the management and treatment of clinical depression in those with comorbid sleep disordered breathing. Larger trials of individuals with clinical depression and comorbid OSA are needed.

The association between high risk of sleep apnea, comorbidities, and risk of COVID-19: a population-based international harmonized study

PURPOSE

Obstructive sleep apnea (OSA) may increase the risk of severe COVID-19; however, the level of potential modulation has not yet been established. The objective of the study was to determine the association between high risk of OSA, comorbidities, and increased risk for COVID-19, hospitalization, and intensive care unit (ICU) treatment.

METHODS

We conducted a cross-sectional population-based web survey in adults in 14 countries/regions. The survey included sociodemographic variables and comorbidities. Participants were asked questions about COVID-19, hospitalization, and ICU treatment. Standardized questionnaire (STOP questionnaire for high risk of OSA) was included. Multivariable logistic regression was conducted adjusting for various factors.

RESULTS

Out of 26,539 respondents, 20,598 (35.4% male) completed the survey. Mean age and BMI of participants were 41.5 ± 16.0 years and 24.0 ± 5.0 kg/m², respectively. The prevalence of physician-diagnosed OSA was 4.1% and high risk of OSA was 9.5%. We found that high risk of OSA (adjusted odds ratio (aOR) 1.72, 95% confidence interval (CI): 1.20, 2.47) and diabetes (aOR 2.07, 95% CI: 1.23, 3.48) were associated with reporting of a COVID-19 diagnosis. High risk for OSA (aOR 2.11, 95% CI: 1.10-4.01), being male (aOR: 2.82, 95% CI: 1.55-5.12), having diabetes (aOR: 3.93, 95% CI: 1.70-9.12), and having depression (aOR: 2.33, 95% CI: 1.15-4.77) were associated with increased risk of hospitalization or ICU treatment.

CONCLUSIONS

Participants at high risk of OSA had increased odds of having COVID-19 and were two times more likely to be hospitalized or treated in ICU.

Employer-mandated obstructive sleep apnea treatment and healthcare cost savings among truckers

OBJECTIVE

To evaluate the effect of an employer-mandated obstructive sleep apnea (OSA) diagnosis and treatment program on non-OSA-program trucker medical insurance claim costs.

METHODS

Retrospective cohort analysis; cohorts constructed by matching (randomly, with replacement) Screen-positive Controls (drivers with insurance screened as likely to have OSA, but not yet diagnosed) with Diagnosed drivers (n = 1,516; cases = 1,224, OSA Negatives = 292), on two factors affecting exposure to medical claims: experience level at hire and weeks of job tenure at the Diagnosed driver's polysomnogram (PSG) date (the "matching date"). All cases received auto-adjusting positive airway pressure (APAP) treatment and were grouped by objective treatment adherence data: any "Positive Adherence" (n = 932) versus "No Adherence" (n = 292). Bootstrap resampling produced a difference-in-differences estimate of aggregate non-OSA-program medical insurance claim cost savings for 100 Diagnosed drivers as compared to 100 Screen-positive Controls before and after the PSG/matching date, over an 18-month period. A two-part multivariate statistical model was used to set exposures and demographics/anthropometrics equal across sub-groups, and to generate a difference-in-differences comparison across periods that identified the effect of OSA treatment on per-member per-month (PMPM) costs of an individual driver, separately from cost differences associated with adherence choice.

RESULTS

Eighteen-month non-OSA-program medical claim costs savings from diagnosing (and treating as required) 100 Screen-positive Controls: $153,042 (95% CI: -$5,352, $330,525). Model-estimated effect of treatment on those adhering to APAP: -$441 PMPM (95% CI: -$861, -$21).

CONCLUSIONS

Results suggest a carrier-based mandatory OSA program generates substantial savings in non-OSA-program medical insurance claim costs.

Prevalence, Risk Factors, and Comorbidities of Obstructive Sleep Apnea Risk Among a Working Population in Kuwait: A Cross-Sectional Study

Background: Obstructive sleep apnea (OSA) affects a considerable proportion of adults globally and is associated with elevated morbidity and mortality. Given the lack of epidemiologic data on the burden of OSA in Kuwait, this study sought to estimate its prevalence, associated risk factors, and comorbid conditions among a working population in Kuwait. Methods: This was a cross-sectional study of a sample of working adults (n = 651) from public institutions in Kuwait. High/low risk for OSA was ascertained according to the Berlin Questionnaire criteria. Participants self-reported their coexisting health conditions. Associations were assessed using Poisson regression with robust variance estimation; adjusted prevalence ratios (aPRs) and 95% confidence intervals (CIs) were estimated. Results: Overall, 20.0% (130/651) of participants were classified as being at high risk for OSA, with more male than female subjects being at high risk (24.0% [56/233] vs. 17.7% [74/418], P = 0.053), though this difference did not gain statistical significance. Moreover, a high risk for OSA was more common among older and obese subjects. Factors associated with increased prevalence of a high risk for OSA included current smoking status (aPR = 1.58, 95% CI: 1.02-2.06), longer hours spent watching television (1.76, 1.10-2.81), and lower self-perceived physical health (2.11, 1.15-3.87). However, decreasing trends in the prevalence of high risk for OSA were observed with frequent engagement in vigorous physical activity and longer nightly sleep duration. Compared to those at a low risk for OSA, the subjects at high risk for OSA were more likely to have insomnia disorder (2.83, 1.81-4.41), diabetes (1.94, 1.15-3.27), hypertension (3.00, 1.75-5.16), and depression (4.47, 1.80-11.08). Conclusion: This study estimated that 1/5 of working adults in Kuwait were at high risk for OSA, and the prevalence varied according to personal characteristics and lifestyle factors. Also, a high risk for OSA classification was associated with multiple comorbid health conditions.

Exploring the Biopsychosocial Pathways Shared by Obstructive Sleep Apnea (OSA) and Central Serous Chorioretinopathy (CSC): A Literature Overview

This study addressed the following question: “Is it possible to highlight the link between obstructive sleep apnea (OSA) and central serous chorioretinopathy (CSC) through common biopsychosocial pathogenetic pathways?”. The study was conducted through electronic searches of the PubMed, Web of Science, and Scopus databases. All relevant selected human research studies published from January 2003 to December 2020 were included. The scientific literature search was performed through repeated use of the words “OSA” and/or “acute/chronic CSC” paired with “biomedical/biopsychosocial illness model”, “psychopathology”, “stress”, “personality characteristics”, “functional diseases”, “comorbidity”, and “quality of life” in different combinations. Our literature search identified 213 reports, of which 54 articles were ultimately reviewed in this paper. Taken together, the results indicate that there is a cross-link between OSA and CSC that can be classified among biopsychological disorders in which various major biological variables integrate with psychological-functional and sociological variables; many of these variables appear in both diseases. This concept can have important implications for improving patients’ quality of life, thus providing the necessary strategies to cope with challenging life events even through nonpharmacological approaches.

Psychological Well-Being in Obstructive Sleep Apnea Syndrome Associated With Obesity: The Relationship With Personality, Cognitive Functioning, and Subjective and Objective Sleep Quality

Obstructive sleep apnea (OSA) syndrome severely affects psychological well-being. This syndrome frequently occurs in obesity; however, no previous study has investigated the level of psychological well-being in the case of OSA syndrome associated with obesity. In this work, we assessed the level of psychological well-being in fifty-two individuals affected by OSA syndrome and obesity through the Psychological General Well-Being Index. Moreover, we investigated the role of personality, cognitive functioning and attentional capabilities, subjective perception and objective measurement about sleeping, on the subjective perception of psychological well-being. Our sample reported a lower level of psychological well-being; the participants' scores were below the normative cut-off in all components, except for depression symptoms. A lower expression of harm avoidance temperament and a lower level of daily sleepiness predicted a higher level of psychological well-being. Psychological well-being seemed to be severely affected in individuals affected by OSA syndrome and obesity. The temperament and subjective perception of daily alertness and sleepiness, rather than the syndrome severity, seemed to play a crucial role in the individual perception of the psychological well-being.

Interleukin 6 as a marker of depression in women with sleep apnea

Depression is common in women with obstructive sleep apnea (OSA), but objective markers of depression have not yet been explored in such patients. We hypothesized that inflammation and antioxidant biomarkers may be associated with depression in a cohort of OSA women. We conducted a multicentre, cross-sectional study in 247 women diagnosed with moderate-to-severe OSA. Depression was assessed by the depression subscale of the Hospital Anxiety and Depression Questionnaire (HAD-D) and defined as a score ≥11. Associations between tumour necrosis factor α (TNFα), interleukin 6 (IL-6), C-reactive protein (CRP), intercellular adhesion molecule 1 (ICAM-1), catalase (CAT), superoxide dismutase (SOD) and brain-derived neurotrophic factor (BDNF) plasma levels and depression were assessed. The women had a median (25th-75th percentiles) age of 58 (51-65) years, body mass index (BMI) of 33.5 (29.0-38.3) Kg/m2 , Epworth Sleepiness Scale (ESS) score of 10 (6-13) and apnea-hypopnea index (AHI) of 33.3 (22.8-49.3). Logistic regression analyses revealed that only IL6 levels were associated with the presence of depression (adjusted odds ratio [OR], 1.20; 95% confidence interval [CI], 1.08-1.34), whereas linear regression further confirmed that IL6 levels were significantly associated with HAD-D scores (β = .154; 95% CI, 0.03-0.30). Multivariate regression analysis showed that IL6 (OR, 1.22; 95% CI, 1.09-1.36), ESS (OR, 1.10; 95% CI 1.02-1.19) and physical activity <30 min/day (OR, 2.51; 95% CI, 1.25-5.05) were independent predictors of depression. Thus, we conclude that in a cohort of women with moderate-to-severe OSA, IL6 levels are independently associated with the presence of depression and correlate with depression scores. Low physical activity and higher ESS scores are also independent indicators of risk of depression in this population.

Determining the prevalence of symptoms and risk of obstructive sleep apnoea among old Saudis

Objectives

This study aimed to determine the prevalence of symptoms and risk of obstructive sleep apnoea (OSA) and to identify the risk factors associated with OSA among old Saudis.

Methods

In this population-based survey, we administered the Saudi National Survey for Elderly Health to old Saudis between 2006 and 2007. Symptoms of OSA and its associated risk factors were determined using the Berlin questionnaire. A multivariable logistic regression analysis was used to determine key factors associated with the risk of OSA.

Results

Out of 2946 participants, 1544 (52.4%) were at high risk of OSA, with women having a higher risk than men (60.8% vs. 44.2%, respectively; p-value <0.001). Obesity was higher among women than men (40.5% vs. 24.8%, respectively; p-value <0.001). Almost 56% of the participants reported snoring as a risk factor, but there was no statistical difference between women and men (57.3% vs. 53.5%, respectively; p-value = 0.317). The factors identified as independent predictors of a high risk of OSA were the female gender (OR 1.732, 95% CI [1.375–2.182]), living in rural areas (OR 1.384, 95% CI [1.094–1.750]), severe cognitive impairment (OR 2.709, 95% CI [1.350–5.436]), depression (OR: 1.432 95%CI [1.147–1.789]), and antidepressants usage (OR 2.959, 95% CI [1.402–6.244]).

Conclusion

This study reported a 52.4% prevalence of a high risk of OSA. Women were more likely to be at high risk of OSA than men. In addition to the female gender, depression, antidepressant usage, severe cognitive impairment, and living in rural areas were main predictors of OSA.

The Complex Interaction Between the Major Sleep Symptoms, the Severity of Obstructive Sleep Apnea, and Sleep Quality

Introduction: Little information exists in the general population whether clinical presentation phenotypes of obstructive sleep apnea (OSA) differ in terms of sleep quality and comorbidities. Aim: The purpose of our study was to assess possible differences between symptomatic and asymptomatic OSA patients concerning syndrome's severity, patients' sleep quality, and comorbidities. Subjects and methods: First, in a nationwide, stratified, epidemiological survey, 4,118 Cypriot adult participants were interviewed about sleep habits and complaints. In the second stage of the survey, 264 randomly selected adults underwent a type III sleep study for possible OSA. Additionally, they completed the Greek version of Pittsburgh Sleep Quality Index (Gr-PSQI), Epworth Sleepiness Scale (ESS), Athens Insomnia Scale (AIS), and Hospital Anxiety and Depression Scale (HADS). Results: From 264 enrolled participants, 155 individuals (40 females and 115 males) were first diagnosed with OSA. Among these 155 patients, 34% had ESS ≥ 10 and 49% AIS ≥ 6. One or both symptoms present categorized the individual as symptomatic (60%) and neither major symptom as asymptomatic (40%). There were no significant statistical differences (SSDs) between the two groups (symptomatic-asymptomatic) with regard to anthropometrics [age or gender; neck, abdomen, and hip circumferences; and body mass index (BMI)]. The two groups had no differences in OSA severity-as expressed by apnea-hypopnea index (AHI), oxygen desaturation index (ODI), and mean oxyhemoglobin saturation (SaO₂)-and in cardiometabolic comorbidities. Symptomatic patients expressed anxiety and depression more often than asymptomatics (p < 0.001) and had poorer subjective sleep quality (Gr-PSQI, p < 0.001). According to PSQI questionnaire, there were no SSDs regarding hours in bed and the use of sleep medications, but there were significant differences in the subjective perception of sleep quality (p < 0.001), sleep efficiency (p < 0.001), duration of sleep (p = 0.001), sleep latency (p = 0.007), daytime dysfunction (p < 0.001), and finally sleep disturbances (p < 0.001). Conclusion: According to our data, OSA patients reporting insomnia-like symptoms and/or sleepiness do not represent a more severe phenotype, by the classic definition of OSA, but their subjective sleep quality is compromised, causing a vicious cycle of anxiety or depression.

Hypoglossal Nerve Stimulation: Outcomes in Veterans with Obstructive Sleep Apnea and Common Comorbid Post-traumatic Stress Disorder

OBJECTIVES/HYPOTHESIS

Veterans have an increasing prevalence of obstructive sleep apnea (OSA) and high levels of intolerance to positive airway pressure (PAP). The hypoglossal nerve stimulator (HNS) is a promising alternative surgical treatment for OSA in these patients, many of whom suffer from mental health conditions such as post-traumatic stress disorder (PTSD) that may negatively affect their ability to use PAP. Our aims were: 1) to assess postoperative changes in OSA severity and sleepiness in a veteran only population after HNS; 2) to compare postoperative changes in OSA severity, sleepiness and HNS adherence between veterans with and without PTSD; and 3) to compare HNS adherence in our population to HNS adherence in the current literature as well as published PAP adherence data.

STUDY DESIGN

Retrospective and prospective case series.

METHODS

Clinical data on consecutive patients undergoing HNS in a Veterans Affairs hospital were examined for demographic data as well as medical, sleep, and mental health comorbidities. The overall cohort as well as subsets of patients with and without PTSD were examined for postoperative changes in OSA severity (apnea hypopnea index [AHI], lowest oxygen saturation (LSAT]), and sleepiness (Epworth sleepiness scale [ESS]), as well as for device adherence. PTSD and depression symptomatology were measured using the PTSD Checklist 5 (PCL-5) and Patient Health Questionnaire 9 (PHQ-9).

RESULTS

Forty-six veterans were included. Forty-four patients were male (95.6%), 45 were white (97.8%), and the mean age was 61.3 years. Twenty-six patients met PCL-5 criteria for PTSD and 17 did not. OSA severity and sleepiness improved significantly in the overall cohort after HNS; median (IQR) AHI decreased from 39.2 (24.0, 63.0) to 7.4 (1.2, 20.8) events/hour (P < .0001), mean LSAT increased from 81% to 88% (P < .0001) and mean ESS decreased from 10.9 to 6.7 (P < .0001). These improvements were similar between patients with and without PTSD (P = .434-.918). Overall device adherence was 6.1 hours/night for the overall cohort and was not significantly different between patients with and without PTSD (P = .992).

CONCLUSIONS

HNS is an efficacious therapy in a veteran population, providing patients with significant improvements in OSA severity and sleepiness. Veterans with and without PTSD benefited similarly from HNS when comparing improvements in sleep apnea severity and sleepiness as well as device usage. Adherence was similar to previously published HNS adherence data and better than PAP adherence reported in the literature.

LEVEL OF EVIDENCE

4 Laryngoscope, 131:S1-S11, 2021.

Neuroendocrine abnormalities associated with untreated first episode patients of major depressive disorder with comorbid obstructive sleep apnea

There are few studies that explore the relationship of neuroendocrine hormones of the HPA, HPT and HPG axes with major depressive disorder (MDD) with comorbid obstructive sleep apnea (OSA). The aim of this study is to examine neuroendocrine abnormalities and the relationship in untreated first episode patients of MDD comorbided with OSA. Polysomnography, neuroendocrine hormones were determined for 111 patients. After excluding the influences of age and BMI, phase I in non-REM sleep (N1)% increased significantly in MDD with OSA when compared with non-OSA. In the OSA group, cortisol increased and exceeded the normal standard, and for the numbers of patients exceeding the normal range, there were significant difference between two groups. In MDD with OSA, adrenocorticotropic hormone was significantly negatively correlated with slow wave sleep (SWS)%, while thyroxine was significantly correlated with phase II in non-REM sleep (N2)%, and prolactin was significantly negatively correlated with N1%. This study revealed that for untreated first episode MDD patients with OSA, the HPA axis was hyperfunctional. Cortisol and adrenocorticotropic hormone may be increased along with disturbed sleep structure and less slow-wave sleep time. Concurrently prolactin was decreased and thyroxine increased during the N1 and N2 phase of sleep.

Psychological Profile and Distinct Salivary Cortisol Awake Response (CAR) in Two Different Study Populations with Obstructive Sleep Apnea (OSA) and Central Serous Chorioretinopathy (CSC)

Obstructive sleep apnea (OSA) and central serous chorioretinopathy (CSC) are in terms of nosography different pathologies, however they share a stress-related physio-pathogenetic component, not yet explored in depth. Therefore, the aim of the present study was to ascertain whether OSA and CSC share a common profile, specifically in cortisol production focusing on the cortisol awake response (CAR), the area under curve (AUC_CAR) and the SLOPE_CAR compared with healthy matched controls. Furthermore, standardized self-administered questionnaires were used to identify mental health status related to depression, anxiety and subjective stress perception levels in the study populations. The results showed hypothalamus-pituitary-adrenal (HPA) axis activity anomalies, represented by a flattening CAR in the OSA group and a statistically significant increase in cortisol production in CSC patients at awakening. This disarrangement of the HPA axis activity associated with elevated distress and mental health scores, and its presence in both patients with OSA and patients with CSC, might represent the shared path explaining the stress-related component in these diseases. Further research is needed to investigate the psycho-neuro-endocrinological aspects of OSA and CSC to determine whether psychoeducation on effective stress coping strategies might be of value in improving the quality of life of OSA and CSC patients.