Is the time below 90% of SpO2 during sleep (T90%) a metric of good health? A longitudinal analysis of two cohorts

BACKGROUND

Novel wireless-based technologies can easily record pulse oximetry at home. One of the main parameters that are recorded in sleep studies is the time under 90% of SpO2 (T90%) and the oxygen desaturation index 3% (ODI-3%). We assessed the association of T90% and/or ODI-3% in two different scenarios (a community-based study and a clinical setting) with all-cause mortality (primary outcome).

METHODS

We included all individuals from the Sleep Heart Health Study (SHHS, community-based cohort) and Santiago Obstructive Sleep Apnea (SantOSA, clinical cohort) with complete data at baseline and follow-up. Two measures of hypoxemia (T90% and ODI-3%) were our primary exposures. The adjusted hazard ratios (HRs) per standard deviation (pSD) between T90% and incident all-cause mortality (primary outcome) were determined by adjusted Cox regression models. In the secondary analysis, to assess whether T90% varies across clinical factors, anthropometrics, abdominal obesity, metabolic rate, and SpO2, we conducted linear regression models. Incremental changes in R2 were conducted to test the hypothesis.

RESULTS

A total of 4323 (56% male, median 64 years old, follow-up: 12 years, 23% events) and 1345 (77% male, median 55 years old, follow-up: 6 years, 11.6% events) patients were included in SHHS and SantOSA, respectively. Every 1 SD increase in T90% was associated with an adjusted HR of 1.18 [95% CI: 1.10-1.26] (p value < 0.001) in SHHS and HR 1.34 [95% CI: 1.04-1.71] (p value = 0.021) for all-cause mortality in SantOSA. Conversely, ODI-3% was not associated with worse outcomes. R2 explains 62% of the variability in T90%. The main contributors were baseline-mean change in SpO2, baseline SpO2, respiratory events, and age.

CONCLUSION

The findings suggest that T90% may be an important marker of wellness in clinical and community-based scenarios. Although this nonspecific metric varies across the populations, ventilatory changes during sleep rather than other physiological or comorbidity variables explain their variability.

Sleep Testing as a Pre-requisite for Commercial Motor Driving License is a Need of the Hour

Commercial drivers, including pilots, suffering from untreated sleep-related disorders endanger many lives. This puts them at risk of increased daytime somnolence. Through this brief communication, we urge the authorities to make the sleep study mandatory for these drivers to diagnose underlying sleep disorders like sleep apnea.

Trends in sleep apnea and heart failure related mortality in the United States from 1999 to 2019

National estimates of deaths related to both heart failure (HF) and sleep apnea (SA) are not known. We evaluated the trends in HF and SA related mortality using the CDC-WONDER database in adults aged ≥25 years in the US. All deaths related to HF and SA as contributing or underlying causes of death were queried. Between 1999 and 2019, there were a total of 6,484,486 deaths related to HF, 204,824 deaths related to SA, and 53,957 deaths related to both. There was a statistically significant increase in the age-adjusted mortality rate (AAMR) for both SA-related (average annual percent change [AAPC] 8.2%) and combined HF and SA- related (AAPC 10.1 %) deaths. Men had consistently higher AAMRs compared with women, and both groups had a similar increasing trend in AAMR. Non-Hispanic (NH) Black individuals had the highest HF and SA-related AAMR, followed by NH White and Hispanic/Latino individuals. Adults aged >75 years consistently had the highest AAMR with the steepest increase (AAPC 11.1%). In conclusion, HF and SA-related mortality has significantly risen over the past two decades with the elderly, men, and NH Black at disproportionately higher risk.

Heritability and genetic correlations for sleep apnea, insomnia, and hypersomnia in a large clinical biobank

RATIONALE

Comorbid insomnia and sleep apnea is reported to have worse outcomes than either condition alone. The local genetic correlations of these disorders are unknown.

OBJECTIVES

To identify local genomic regions with heritability for clinically diagnosed sleep apnea and insomnia, and to identify local genetic correlations between these disorders and/or hypersomnia.

METHODS

Fifty thousand two hundred seventeen patients of European ancestry were examined. Global and local heritability and genetic correlations for independent regions were calculated, adjusting for obesity and other covariates.

RESULTS

Sleep apnea and insomnia were significantly globally heritable and had 118 and 168 genetic regions with local heritability p-values <.05, respectively. One region had a significant genetic correlation for sleep apnea and hypersomnia (p-value = 9.85 × 10-4).

CONCLUSIONS

Clinically diagnosed sleep apnea and insomnia have minimal shared genetic architecture, supporting genetically distinct comorbid insomnia and sleep apnea components. However, additional correlated regions may be identified with additional sample size and methodological improvements.

Is there an association between sleep bruxism and obstructive sleep apnea? A case-control polysomnographic investigation

OBJECTIVES

To estimate the statistical and epidemiological association between Sleep bruxism (SB) and Obstructive sleep apnea (OSA) based on OSA severity, and to describe sleep data findings within the analyzed population.

METHODS

A case-control study (N = 37) was conducted on subjects with and without OSA. All subjects underwent a full-night polysomnographic recording at the Sleep Unit (Clinical Neurophysiology Department) of San Carlos University Hospital. The diagnosis and severity of OSA were determined using ICSD-3 and AASM-2.6 scoring. The definitive SB diagnosis was obtained through a self-report test, physical examination, and PSG recordings. Variables used to study the association between both conditions included the apnea and hypopnea episodes, the Apnea-hypopnea index (AHI), the number of SB episodes per night, and the bruxism index. Chi2, correlations, and ANOVA were calculated. The epidemiological association was calculated using the OR.

RESULTS

SB showed an epidemiological association with OSA, with an OR of 0.15 (0.036-0.68), suggesting it could be considered a protective factor (p < 0.05). OSA patients presented fewer average SB episodes (6.8 ± 12.31) than non-OSA patients (25.08 ± 31.68). SB episodes correlated negatively (p < 0.05) with the AHI and the number of hypopneas (p < 0.05). The average number of SB episodes was significantly higher in patients with mild OSA compared to those with severe OSA.

CONCLUSIONS

In this sample of patients with subclinical and mild OSA, SB may act as a protective factor. However, confirmation of these results with a larger sample size is necessary.

Obstructive sleep apnea and non-dipper: epiphenomena or risks of Alzheimer's disease?: a review from the HOPE Asia Network

Obstructive sleep apnea (OSA) and associated nocturnal blood pressure (BP) surges is associated with non-dipper. On the other hand, the relationship between neurodegenerative diseases and non-dipper hypertension has been reported. To date, few studies have evaluated the relationships of nocturnal BP dipping patterns and OSA in relation to neurodegenerative diseases, particularly Alzheimer's disease (AD). This review examines the etiology of the association between OSA and the non-dipper pattern of hypertension and how both are involved in the development of AD. To set the stage for this review, we first focus on the pathophysiology of AD, which is interrelated with sleep apnea and non-dipper through dysregulation of central autonomic network.

Sex-based differences in obstructive sleep apnea and atrial fibrillation: Implication of atrial fibrillation burden

Background

Obstructive sleep apnea (OSA) is a risk factor for atrial fibrillation (AF); however, it is unclear whether AF increases the risk of OSA. Furthermore, sex differences among patients with both AF and OSA remain unclear. We aimed to determine the association between an increased AF burden and OSA and investigate the differences in clinical characteristics between women and men with AF and OSA.

Methods

This was a descriptive, cross-sectional analysis from a prospective cohort study. Patients with non-valvular AF were recruited from the cardiac electrophysiology clinic of a tertiary center; they underwent a home sleep apnea test and 14-day ambulatory electrocardiography. Moderate-to-severe OSA was defined as an apnea-hypopnea index of ≥15.

Results

Of 320 patients with AF, 53.4% had moderate-to-severe OSA, and the mean body mass index (BMI) was 25.6 kg/m2. Less women (38.2%) had moderate-to-severe OSA than men (59.3%) (p < 0.001). In the multivariate analysis, age, being a man, and BMI were significantly associated with moderate-to-severe OSA. AF burden was associated with moderate-to-severe OSA only in men (odds ratio: 1.008; 95% confidence interval: 1.001-1.014). Women and men with OSA had similar BMI (p = 0.526) and OSA severity (p = 0.754), but women were older than men (70.1 ± 1.3 vs. 63.1 ± 0.9 years, p < 0.001). Women with moderate-to-severe OSA had a lower AF burden than men did (27.6 ± 7.1 vs. 49.5 ± 3.9%, p = 0.009).

Conclusions

AF burden is a sex-specific risk factor for OSA and is limited to men. In contrast, women with both AF and OSA have a lower AF burden than men, despite being older and having similar OSA severity and body habitus. Thus, AF may develop later in women with OSA than in men.

Sleep disordered breathing assessment in patient with slowly progressive neuromuscular disease

BACKGROUND

Sleep-disordered breathing (SDB) is common in patients with neuromuscular diseases (NMD). Focusing on hypercapnia may lead to the neglect of other SDB such as obstructive and/or central sleep apnea syndrome (SAS). Our objectives were to assess the risk of inappropriate SDB management according to different screening strategies and to evaluate the prevalence and determinants of isolated and overlapping sleep apnea in patients with slowly progressive NMD.

METHODS

This monocentric, cross-sectional, retrospective study analyzed medical records of adult NMD patients referred to a sleep department. Diagnostic strategies, including respiratory polygraphy (RP), nocturnal transcutaneous capnography (tcCO2), and blood gases (BG), were assessed for their performance in diagnosing SDB. Demographics and pulmonary function test results were compared between patients with or without SDB to identify predictors.

RESULTS

Among the 149 patients who underwent a full diagnostic panel (RP + tcCO2 + BG), 109 were diagnosed with SDB. Of these, 33% had isolated SAS, and central apneas were predominant. Using single diagnostic strategies would lead to inappropriate SDB management in two thirds of patients. A combination of 2 diagnostic tools resulted respectively in 21.1, 22.9 and 42.2 % of inappropriate SDB management for RP + tcCO2, RP + BG and tcCO2 + BG.

CONCLUSION

The significant prevalence of sleep apnea syndrome in patients with slowly progressive NMD highlights the need for increased awareness among clinicians. Improved diagnostics involve a systematic approach addressing both sleep apnea and diurnal and nocturnal alveolar hypoventilation to avoid inappropriate management and limit the consequences of SDB.

Identification of novel proteins for sleep apnea by integrating genome-wide association data and human brain proteomes

BACKGROUND

Sleep apnea is regarded as a significant global public health issue. The relationship between sleep apnea and nervous system diseases is intricate, yet the precise mechanism remains unclear.

METHODS

In this study, we conducted a comprehensive analysis integrating the human brain proteome and transcriptome with sleep apnea genome-wide association study (GWAS), employing genome-wide association study (PWAS), transcriptome-wide association study (TWAS), Mendelian randomization (MR), and colocalization analysis to identify brain proteins associated with sleep apnea.

RESULTS

The discovery PWAS identified six genes (CNNM2, XRCC6, C3orf18, CSDC2, SQRDL, and DGUOK) whose altered protein abundances in the brain were found to be associated with sleep apnea. The independent confirmatory PWAS successfully replicated four out of these six genes (CNNM2, C3orf18, CSDC2, and SQRDL). The transcriptome level TWAS analysis further confirmed two out of the four genes (C3orf18 and CSDC2). The subsequent two-sample Mendelian randomization provided compelling causal evidence supporting the association of C3orf18, CSDC2, CNNM2, and SQRDL with sleep apnea. The co-localization analysis further supported the association between CSDC2 and sleep apnea (posterior probability of hypothesis 4 = 0.75).

CONCLUSIONS

In summary, the integration of brain proteomic and transcriptomic data provided multifaceted evidence supporting causal relationships between four specific brain proteins (CSDC2, C3orf18, CNNM2, and SQRDL) and sleep apnea. Our findings provide new insights into the molecular basis of sleep apnea in the brain, promising to advance understanding of its pathogenesis in future research.

Risk of Sleep Apnea Is Associated with Abdominal Obesity Among Asian Americans: Comparing Waist-to-Hip Ratio and Body Mass Index

OBJECTIVE

This study examines associations between the risk of sleep apnea and abdominal obesity (assessed by waist-to-hip ratio (WHR)) and general obesity (assessed by body mass index (BMI)) in a sample of Chinese and Korean American immigrants.

METHODS

The dataset included Chinese and Korean participants aged 50-75 who were recruited from primary care physicians' clinics from April 2018 to June 2020 in the Baltimore-Washington D.C. Metropolitan area (n = 394). Abdominal obesity was determined if WHR ≥ 0.9 in men and WHR ≥ 0.85 in women. General obesity was determined if BMI ≥ 30. The risk of sleep apnea was determined by using the Berlin questionnaire. Poisson regression models examined associations between sleep apnea risk and obesity. Models controlled for socio-demographic risk factors.

RESULTS

Twelve percent of the study participants were classified as a high risk for sleep apnea, and 75% had abdominal obesity whereas 6.4% had general obesity. High risk of sleep apnea was positively associated with abdominal obesity (PR = 1.31, 95% CI: 1.17-1.47) and general obesity (PR = 2.19, 95% CI: 0.90-5.32), marginally significant at p < 0.1).

CONCLUSIONS

Chinese and Korean immigrants living in the USA who are at high risk of sleep apnea have higher abdominal obesity, even after accounting for sociodemographic characteristics. Abdominal obesity may be a better indicator than general obesity when examining the risk of sleep apnea among Asian Americans.

INFORMATION ON CLINICAL TRIAL

Name: Screening To Prevent ColoRectal Cancer (STOP CRC) among At-Risk Asian American Primary Care Patients NCT Number: NCT03481296; Date of registration: March 29, 2018 URL: https://clinicaltrials.gov/ct2/show/NCT03481296?term=Sunmin+Lee&draw=2&rank=1.

Interfering with sleep apnea

The effects of electromagnetic interference have been hiding in plain sight for millennia and are now being applied to the non-invasive stimulation of deep tissues. In the article by Missey et al., the effect of non-invasive stimulation of the hypoglossal nerve by an interference envelope of interfering carrier waves is examined in mice and participants with sleep apnea. This stimulation is capable of activating the nerve and reducing apnea-hypopnea events. Temporally interfering electric fields have potential applications far beyond hypoglossal stimulation and may represent a revolutionary new approach to treating illness and understanding the functional organization of the nervous system.

Investigate the relationship between obstructive sleep apnea and cardiac arrhythmia after CABG surgery

BACKGROUND AND OBJECTIVE

Heart rhythm disorder is one of the most common problems after coronary artery bypass graft surgery. Various factors, such as the history of sleep apnoea before the operation, may aggravate the occurrence of this disorder. The present study was conducted to determine the relationship between sleep apnoea before surgery and heart rhythm disorder after surgery in patients undergoing coronary Artery Bypass Grafting in 2019.

METHODS

This analytical cross-sectional study was conducted on 192 patients who were selected by sequential sampling. The research tool included demographic information, a checklist of heart rhythm disorders, and the Berlin sleep apnoea questionnaire. Descriptive statistics and the Chi-square test, Fisher's exact test, Mann-Whitney's U-test, and logistic regression were used to analyze the data.

RESULTS

A total of 71.35% of the samples were male, and the mean age of the participants was 57.8 ± 7.5 years. Also, 46.0% of the samples had sleep pane and 21.35% had rhythm disorder. The most frequent heart rhythm disorder in patients with obstructive sleep apnoea was atrial fibrillation. There was a significant relationship between the occurrence of rhythm disorder and a history of smoking (P = 0.021), and the regression model showed that a history of smoking is the only variable related to the occurrence of rhythm disorder after coronary Artery Bypass Grafting (P = 0.005, CI 95%: 6.566-1.386, OR = 3.017).

CONCLUSIONS

The results showed that there is no statistically significant relationship between sleep apnea and rhythm disorder after coronary artery bypass surgery.

Assessing the causal associations of sleep apnea with mental health and socioeconomic status: a bidirectional two-sample Mendelian randomization

OBJECTIVE

Traditional observational research has suggested a connection between socioeconomic position, mental health, and sleep apnea (SA), but the specifics of this connection are still unclear. Using the Mendelian randomization approach, we intended to evaluate the potential causal link between mental health, socioeconomic status, and SA.

METHODS

Our research employed summary statistics data from large-scale genome-wide association studies (GWAS) on mental health, socioeconomic status, and SA. In the main study, the connection between mental health, socioeconomic status, and SA was examined using the inverse variance weighted approach. In addition, as a supplement, we also used other Mendelian randomization methods, including MR Egger, weighted median, simple mode, and weighted mode.

RESULTS

The primary analysis showed that educational attainment, including longer years of schooling, college or university degree, and higher intelligence was associated with a lower risk of SA (OR = 0.750, 95%CI = 0.653-0.862; OR = 0.558, 95%CI = 0.423-0.735; OR = 0.871, 95%CI = 0.760-0.999, respectively), while social deprivation was associated with a higher risk of SA (OR = 1.821, 95%CI = 1.075-3.085). And the income was not associated with the risk of sleep apnea (OR = 0.877, 95%CI = 0.682-1.129). In mental health exposure, major depressive disorder was associated with a higher risk of sleep apnea (OR = 1.196, 95%CI = 1.015-1.409), while attention-deficit hyperactivity disorder, bipolar disorder, and schizophrenia were not associated with the risk of sleep apnea (OR = 1.064, 95%CI = 0.958-1.181; OR = 1.030, 95%CI = 0.942-1.127; OR = 0.990, 95%CI = 0.957-1.025, respectively). Reverse MR analysis failed to find a causal effect from SA on mental health and socioeconomic status.

CONCLUSIONS

This MR investigation offers proof of a possible causal relationship between SA, socioeconomic level, and mental health.

Correlation of morning dry mouth with clinical features of OSA in a community population: a cross-sectional study

OBJECTIVES

Morning dry mouth, commonly seen in Obstructive Sleep Apnea (OSA) patients, is absent in current OSA screening tools. This study evaluated the link between morning dry mouth and OSA's clinical symptoms and complications, aiming to determine its viability as a screening indicator.

METHODS

This research analyses baseline data from a prospective cohort study (the PIFCOPD study). Demographic information, medical history, and the presence of morning dry mouth symptoms were collected. The STOP-Bang questionnaire was performed for OSA screening. Logistic regression analyses were employed to establish the correlations between morning dry mouth and the clinical symptoms and comorbidities of OSA.

RESULT

1291 participants (62.1±7.5 years; 501 males, 790 females) were included, of which 416 reported morning dry mouth (32.2%). 42.6% in the high-risk OSA group and 22.1% in the low-risk group reported morning dry mouth. Individuals with morning dry mouth also showed higher STOP-Bang scores (3.3±1.6 vs. 2.3±1.4, P<0.01). Significant associations were found between morning dry mouth and loud snoring, observed sleep apnea, daytime fatigue, and hyperlipidemia (P<0.01), but not with alcohol consumption, tea consumption, diabetes, or hypertension.

CONCLUSION

Morning dry mouth is associated with increased OSA risk and its clinical signs, suggesting its potential as an OSA screening symptom.

CLINICAL TRIAL REGISTRATION

This study has been registered at www.ClinicalTrials.gov (registration identifier: NCT03532893) on 21 May 2018.

Age-related differences in the association of mild-to-moderate sleep apnea with incident cardiovascular and cerebrovascular diseases

BACKGROUND

Mild-to-moderate obstructive sleep apnea (mmOSA) is highly prevalent in the general population. However, studies on its association with incident cardiovascular and/or cerebrovascular disease (CBVD) are limited. We examined the association between mild-to-moderate OSA and incident cardiovascular and/or cerebrovascular (CBVD) in a general population sample, and whether age modifies this association.

METHODS

A total of 1173 adults from the Penn State Adult Cohort (20-88 years) without CBVD or severe OSA at baseline were followed-up after 9.2 (±4.1) years. Incident CBVD was defined based on a self-report of a physician diagnosis or treatment for heart disease and/or stroke. Logistic regression examined the association of mild-to-moderate OSA (AHI 5-29.9) with incident CBVD and the combined effect of mmOSA and MetS on incident CBVD after adjusting for multiple confounders.

RESULTS

Age significantly modified the association between mmOSA with incident CBVD (p-interaction = 0.04). Mild-to-moderate OSA was significantly associated with incident CBVD in adults aged <60 years (OR = 1.74, 95%CI = 1.06-2.88, p = 0.029), but not in adults aged ≥60 years (OR = 0.71, 95%CI = 0.39-1.27, p = 0.247). Even mild OSA (AHI 5-14.9) carried a significant risk for incident CBDV in adults aged <60 years (OR = 1.86, 95%CI = 1.05-3.28, p = 0.032). An additive effect was found between mmOSA and MetS with incident CBVD in those aged <65 years (OR = 3.84, 95%CI = 1.95-7.56, p<0.001).

CONCLUSIONS

The risk of incident CBVD is increased in young and middle-aged but not older adults with mmOSA, which may affect the way we currently diagnose and treat this highly prevalent sleep-related breathing disorder.

The role of lncRNAs in intermittent hypoxia and sleep Apnea: A review of experimental and clinical evidence

In this narrative review, we present a comprehensive assessment on the putative roles of long non-coding RNAs (lncRNAs) in intermittent hypoxia (IH) and sleep apnea. Collectively, the evidence from cell culture, animal, and clinical research studies points to the functional involvement of lncRNAs in the pathogenesis, diagnosis, and potential treatment strategies for this highly prevalent disorder. Further research is clearly warranted to uncover the mechanistic pathways and to exploit the therapeutic potential of lncRNAs, thereby improving the management and outcomes of patients suffering from sleep apnea.

Sleep-disordered breathing patterns and prognosis in pulmonary arterial hypertension: A cluster analysis of nocturnal cardiorespiratory signals

BACKGROUND

Sleep-disordered breathing (SDB) is common among pulmonary arterial hypertension (PAH) patients and has been associated with unfavorable outcomes. This study aims to cluster overnight cardiorespiratory signals to investigate PAH phenotypes and examining their prognostic implications.

METHODS

In this retrospective cohort study, we recruited consecutive PAH patients who underwent right heart catheterization and nocturnal cardiorespiratory polygraphy to evaluate SDB. Cluster analysis was employed to classify patients based on their SDB patterns. Cox regression analysis and Kaplan-Meier curves were utilized to assess the association between cluster membership and clinical outcomes. Logistic regression was used to identify risk factors associated with the cluster at higher risk of adverse outcomes.

RESULTS

The study comprised 386 PAH patients, with a mean age of 44.7 ± 17.0 years, of which 46.6 % were male. Three distinct clusters of PAH patients were identified: Cluster 1 (N = 182) presented with minimal SDB, Cluster 2 (N = 125) displayed obstructive sleep apnea (OSA) without significant hypoxemia, and Cluster 3 (N = 79) exhibited predominantly severe hypoxemic burden along with comorbid OSA. Notably, patients in Cluster 3 had an independent association with an increased risk of clinical worsening (hazard ratio 1.96, 95 % confidence interval [CI] 1.08-3.56, P = 0.027) compared to those in Clusters 1, even after adjusting for common confounders. The rate of clinical worsening for PAH-related events and mortality was higher in Cluster 3 than in Clusters 1 and 2 (26.6 % vs. 12.6 % and 19.2 %, respectively, log-rank P = 0.024). Moreover, the left ventricular mass index was identified as an independent risk factor for Cluster 3 (odds ratios 1.01, 95 % CI 1.00-1.02, P = 0.004).

CONCLUSIONS

Patients with PAH who have nocturnal hypoxemia and OSA had worse clinical outcomes compared to those with only minimal SDB. Tailored management strategies that address both PAH and nocturnal hypoxemia may be effective in improving clinical outcomes.

A deep learning algorithm model to automatically score and grade obstructive sleep apnea in adult polysomnography

Objective

Polysomnography (PSG) is unique in diagnosing sleep disorders, notably obstructive sleep apnea (OSA). Despite its advantages, manual PSG data grading is time-consuming and laborious. Thus, this research evaluated a deep learning-based automated scoring system for respiratory events in sleep-disordered breathing patients.

Methods

A total of 1000 case PSG data were enrolled to develop a deep learning algorithm. Of the 1000 data, 700 were distributed for training, 200 for validation, and 100 for testing. The respiratory events scoring deep learning model is composed of five sequential layers: an initial layer of perceptrons, followed by three consecutive layers of long short-term memory cells, and ultimately, an additional two layers of perceptrons.

Results

The PSG data of 100 patients (simple snoring, mild, moderate, and severe OSA; n = 25 in each group) were selected for validation and testing of the deep learning model. The algorithm demonstrated high sensitivity (95% CI: 98.06-98.51) and specificity (95% CI: 95.46-97.79) across all OSA severities in detecting apnea/hypopnea events, compared to manual PSG analysis. The deep learning model's area under the curve values for predicting OSA in apnea-hypopnea index ≥ 5, 15, and 30 groups were 0.9402, 0.9388, and 0.9442, respectively, showing no significant differences between each group.

Conclusion

The deep learning algorithm employed in our study showed high accuracy in identifying apnea/hypopnea episodes and assessing the severity of OSA, suggesting the potential for enhancing both the efficiency and accuracy of automated respiratory event scoring in PSG through advanced deep learning techniques.

Obstructive Sleep Apnea Does Not Exclude Polycythemia Vera: A Case Report

Introduction

Polycythemia vera (PV) is one of the myeloproliferative neoplasms (MPN) diagnosed by World Health Organization (WHO) criteria 2016, which requires the presence of 3 major criteria: high hemoglobin/hematocrit, bone marrow findings, and Janus Kinase 2 (JAK2) mutation or two major and one minor criteria, including erythropoietin (EPO) level. However, in clinical practice, difficulties in diagnosis can arise as it may be masked by secondary causes for erythrocytosis such as smoking or obstructive sleep apnea (OSA).

Case Presentation

Here, we report a 55-year-old gentleman, morbidly obese with OSA on home continuous positive airway pressure (CPAP) machine, who was incidentally found to have polycythemia. Further evaluation confirmed the diagnosis of PV.

Conclusion

PV can be masked by the assumption of secondary polycythemia based on history. This underscores the importance of screening such cohort through JAK2 and EPO testing to avoid missing PV.

Findings on drug-induced sleep endoscopy in infants with laryngomalacia

INTRODUCTION

Obstructive sleep apnea (OSA) is highly prevalent in infants with laryngomalacia (LM). Previous studies have reported high rates of persistent OSA following supraglottoplasty (SGP). The objective of this study is to describe the findings on drug-induced sleep endoscopy (DISE) in infants with LM.

METHODS

A retrospective review was performed including infants (12.5 months of age or less) with LM who underwent DISE along with direct laryngoscopy and bronchoscopy (DLB). Data collected included clinical presentation, swallow study results, sleep study results, past medical and surgical history, and postoperative outcomes when follow-up data was available. The findings on DISE as well as DLB were reviewed and described.

RESULTS

Thirty-five infants were included in the study with a mean age of 0.42 years (range 0.04-1.04). Obstructive sleep-disordered breathing (oSDB) and/or OSA were identified in 26 patients (74.3%) in addition to 7 patients (20%) with noisy breathing during sleep. DISE demonstrated LM in 31 patients (89%). DISE identified 12 patients (34%) with partial or complete obstruction at the level of the tongue base. DLB identified 14 patients (40%) with a secondary airway abnormality including 7 patients (20%) with type 1 laryngeal cleft and 4 patients (11%) with grade 1 subglottic stenosis. Eighteen patients (51%) underwent SGP.

CONCLUSION

DISE at the time of airway endoscopy for infants with LM can be helpful in identifying additional sites of obstruction including the tongue base. Glossoptosis may explain and/or predict the previously reported persistence of OSA following SGP. Additionally, DISE can complement awake flexible laryngoscopy in the assessment of severity of LM.

The mediating role of coping styles in illness perception and self-management in patients with obstructive sleep apnea

STUDY OBJECTIVES

Obstructive sleep apnea (OSA) has become a chronic disease that threatens human health. Self-management in patients with OSA can influence their quality of life, and illness perception and coping styles are relevant facilitators of self-management, but this specific relationship has not been adequately studied. The purpose of this study was to investigate the current status and relationship between illness perception, coping styles, and self-management behaviors in patients with OSA, and how coping styles mediate this relationship.

METHODS

This is a cross-sectional study. Conducted between September 2022 and March 2023, the study involved patients aged ≥18 years old in two hospitals who were diagnosed with OSA. The survey was conducted using the demographic characteristics questionnaire, the Brief Illness Perception Questionnaire, the Simple Coping Style Questionnaire, and the Self-management Behavior Questionnaire of patients with obstructive sleep apnea. Spearman's correlation analysis was used for correlation analysis and multiple linear regression and structural equation models were used for mediation effect testing.

RESULTS

There were 282 valid questionnaires, with a 94 % valid response rate. Higher levels of self-management behaviors were associated with low negative illness perceptions, high positive coping, and low negative coping. The study also demonstrated that the mediating effect accounted for 25.65 % (-0.049/-0.191) of the overall effect.

CONCLUSION

Illness perceptions in OSA patients were negatively related to positive coping styles, positively related to negative coping styles, and negatively related to self-management. This study suggests that coping styles of OSA patients mediate illness perception and self-management.

Novel Approaches to Sleep Apnea in Heart Failure

Sleep apnea is a serious comorbid condition affecting patients with heart failure. Present in 50% to 75% of heart failure patients, it is often underrecognized, underdiagnosed, and undertreated. Patients with sleep apnea and heart failure are at increased risk of adverse cardiovascular events and sudden death. Treatment of sleep apnea has shown mixed results in reduction of adverse outcomes by sleep apnea type and intervention strategy. Evolving home-based technologies and device therapies present an exciting frontier for patients with sleep apnea and heart failure and an opportunity to improve outcomes. This article reviews novel approaches to sleep apnea in heart failure.

Effectiveness of Narval CC™ device in the treatment of obstructive sleep apnea

Mandibular advancement devices (MAD) are used in sleep apnea with varying results. We aimed to examine whether or not a MAD should be an integral treatment modality in the care of our patients with obstructive sleep apnea. We designed a feasibility study and included 32 patients after meeting inclusion criteria. Only 3 patients did not finish the second sleep study exam. The intervention was an individually designed MAD and a sleep study exam was performed prior and post treatment. The outcome objective was an apnea-hypopnea index of under 10 and with a 50% reduction. Patient population had a baseline AHI of 19.0 and mean reduction of AHI with MAD treatment to 13.3 yielding a MAD efficacy rate of 31% when outcome objectives were applied. The average reduction in AHI was 24.8% with 9 of the 29 patients actually experiencing an increase in AHI with MAD treatment. When there was a reduction in AHI using the MAD device the AHI reduction rate was 49.1% and there was a tendency for better treatment outcome when apnea-hypopnea was predominantly supine. A mandibular advancement device serves as an important treatment modality in the care of patients with obstructive sleep apnea due to patient satisfaction and compliance. The broad range of treatment response to our MAD device highlights the importance of performing a sleep study exam after initiation of treatment with a MAD but also illustrates the complexity and need for individually tailored treatment for patients with obstructive sleep apnea.

Improving adherence to PAP therapy: A brief PAP coaching intervention for health care providers

Objectives

To evaluate a training program for non-specialist health care providers in a brief coaching intervention to improve positive airway pressure (PAP) usage in Veterans with sleep apnea.

Methods

We conducted a national webinar training designed for non-specialist providers to implement a brief telephone coaching intervention to improve PAP adherence. The curriculum was crafted by experts in sleep medicine and behavioral sleep medicine based on principles of PAP desensitization. Providers who participated in this training were asked to complete evaluations at 30 days and 1 year.

Results

Provider surveys indicated that most respondents had incorporated the intervention into their clinical practice and felt comfortable counseling patients about sleep apnea and adherence to PAP. Provider feedback suggested that future training programs should include refresher trainings, more training on PAP equipment specifics, and facilitated collaboration with local sleep medicine staff.

Conclusions

This pilot training program demonstrated that a webinar format was a feasible method to increase training in PAP adherence among non-specialist health care providers.

Innovation

Non-specialists can be trained as PAP coaches in webinar format, improving patients' access to effective strategies and support to be successful with PAP therapy.

Effect of high-intensity interval training on obstructive sleep apnea severity: A randomized controlled trial

Vigorous physical activity has been associated with a reduced risk of developing obstructive sleep apnea (OSA). However, whether high-intensity interval training (HIIT) reduces OSA severity remains unclear. Thus, this study aimed to investigate the impact of 12 weeks of HIIT on the apnea-hypopnea index (AHI) and sleep parameters in participants with moderate-severe OSA. In this randomized controlled trial, 36 adults (19 males; 52.2 ± 9.8 years; body mass index = 34.2 ± 5.8) with moderate to severe OSA (AHI = 42.0 ± 22.9 e/h) were randomly assigned to HIIT [5 periods of 4 min of walking or running on a treadmill at 90-95 % of maximum heart rate (HRmax) interspersed with 3 min of walking at 50-55 % of HRmax performed three times per week for 12 weeks] or a control group (CG; stretching exercises performed two times per week for 12 weeks). Sleep parameters were assessed at baseline and after 12 weeks through overnight polysomnography. Generalized estimated equations assessed differences between groups over time. There was not group × time interaction for body mass index between groups (p = 0.074). However, significant group × time interactions were observed for AHI (CG change = 8.2 ± 3.7, HIIT change = -8.6 ± 4.8; p = 0.005), SaO2 minimum (CG change = -1.6 ± 1.6 %, HIIT change = 0.4 ± 2.3 %; p = 0.030), total sleep time (CG change = -31.5 ± 19.5 min, HIIT change = 33.7 ± 19.3 min; p = 0.049), and sleep efficiency (CG change = -3.2 ± 4.4 %, HIIT change = 9.9 ± 3.5 %; p = 0.026). Moreover, there was a significant time × group interaction for maximum oxygen consumption (VO2max; CG change = -1.1 ± 1.0 mL/kg/min, HIIT change = 4.8 ± 0.9 mL/kg/min; p < 0.001)]. However, In patients with OSA, 12 weeks of HIIT decreases sleep apnea severity, improves sleep quality, and cardiorespiratory fitness. CLINICAL TRIAL REGISTRATION: (Registro Brasileiro de Ensaios Clínicos [ReBec]): # RBR-98jdt3.