Obstructive sleep apnea, shift work and cardiometabolic risk

Evaluation of quality of life after orthognathic surgery in obstructive sleep apnea syndrome: a systematic review

OBJECTIVES

To develop a systematic review of patient perspectives on the treatment of obstructive sleep apnea syndrome (OSAS) after undergoing orthognathic advancement surgery.

MATERIALS AND METHODS

This systematic review adhered to the preferred reporting items for systematic reviews and meta-analysis (PRISMA) guidelines, and Patient, Intervention, Comparison, and Outcome (PICO) methodology was employed to formulate the research question. A literature search was performed using the following databases: Cochrane Library (Trials), PubMed via MEDLINE, Embase, and Web of Science (all databases). The Newcastle-Ottawa Scale was used to assess quality of the studies.

RESULTS

Initially, 1407 articles were retrieved from diverse databases, and these were subjected to initial scrutiny. Subsequently, 17 articles were selected for thorough quality analysis and 6 studies for quantitative analysis. Most studies were classified as good quality. Maxillomandibular advancement surgery appeared to enhance patient satisfaction in cases of moderate to severe adult OSAS.

CONCLUSIONS

Maxillomandibular advancement surgery significantly improves patients' subjective overall quality of life, improving by 6.36 points in questionnaire ratings and demonstrating long-term stability.

Association and interaction effect of shift work and the risk for obstructive sleep apnea on diabetes mellitus in middle-aged Korean workers

PURPOSE

To investigate the association of shift work and the risk for obstructive sleep apnea (OSA) with diabetes mellitus (DM), and the interaction effect of shift work and the risk for OSA on DM.

METHODS

Data from the Korea National Health and Nutrition Examination Survey (KNHANES) 2019-2021 were used. The participants were 3012 employees aged 40 to 59 years. Shift work was assessed using self-reporting questionnaires. The risk for OSA was assessed by STOP-BANG score. The distribution of demographic factors was calculated using the chi-square test. Adjusted odds ratios (AORs) and 95% confidence intervals (CIs) were calculated using multivariable logistic regression. An interaction effect between shift work and the risk for OSA on DM was evaluated using relative excess risk owing to interaction (RERI) and attributable proportion (AP) with 95% CIs. The synergic index (SI) was also calculated.

RESULTS

Shift work and the risk for OSA were each significantly associated with DM. There was also a significant interaction effect between shift work and the risk for OSA on DM. The RERI was 0.543 (95% CI 0.205-1.361) and the AP was 0.230 (95% CI 0.145-0.342). The SI was 1.662 (95% CI 1.481-1.843).

CONCLUSIONS

There was an association and a significant interaction effect of shift work and the risk for OSA on DM. The management of OSA in shift workers should be implemented to prevent DM.

Imputing missing sleep data from wearables with neural networks in real-world settings

Sleep is a critical component of health and well-being but collecting and analyzing accurate longitudinal sleep data can be challenging, especially outside of laboratory settings. We propose a simple neural network model titled SOMNI (Sleep data restOration using Machine learning and Non-negative matrix factorIzation [NMF]) for imputing missing rest-activity data from actigraphy, which can enable clinicians to better handle missing data and monitor sleep-wake cycles of individuals with highly irregular sleep-wake patterns. The model consists of two hidden layers and uses NMF to capture hidden longitudinal sleep-wake patterns of individuals with disturbed sleep-wake cycles. Based on this, we develop two approaches: the individual approach imputes missing data based on the data from only one participant, while the global approach imputes missing data based on the data across multiple participants. Our models are tested with shift and non-shift workers' data from three independent hospitals. Both approaches can accurately impute missing data up to 24 hours of long dataset (>50 days) even for shift workers with extremely irregular sleep-wake patterns (AUC > 0.86). On the other hand, for short dataset (~15 days), only the global model is accurate (AUC > 0.77). Our approach can be used to help clinicians monitor sleep-wake cycles of patients with sleep disorders outside of laboratory settings without relying on sleep diaries, ultimately improving sleep health outcomes.

Screening for Comorbidity of Sleep Disorders in Career Firefighters

BACKGROUND

The purpose of this study was to assess the prevalence and sequelae of insomnia, obstructive sleep apnea (OSA), and comorbid OSA and insomnia (COMISA).

METHOD

In the morning, after a shift end, Midwest career firefighters ( N = 89) in a midsized city completed an electronic battery of questionnaire to screen for OSA, daytime sleepiness, insomnia, presleep arousal, nightmares, mental and physical health symptoms, and a one-night sleep diary.

RESULTS

Prevalence of firefighters exceeding screening thresholds: OSA: 54%; insomnia: 30%; COMISA: 17%; four or more nightmares per month: 15%. Firefighters who met criteria for COMISA had shorter total sleep time, less restful and worse sleep quality, higher depression and anxiety symptoms, and presleep arousal symptoms than firefighters without self-reported sleep problems.

CONCLUSIONS

Many firefighters are at elevated risk of individual behavioral sleep disorders, COMISA, and daytime dysfunction.

Causal Association Between Subtypes of Excessive Daytime Sleepiness and Risk of Cardiovascular Diseases

BACKGROUND

Excessive daytime sleepiness (EDS), experienced in 10% to 20% of the population, has been associated with cardiovascular disease and death. However, the condition is heterogeneous and is prevalent in individuals having short and long sleep duration. We sought to clarify the relationship between sleep duration subtypes of EDS with cardiovascular outcomes, accounting for these subtypes.

METHODS AND RESULTS

We defined 3 sleep duration subtypes of excessive daytime sleepiness: normal (6-9 hours), short (<6 hours), and long (>9 hours), and compared these with a nonsleepy, normal-sleep-duration reference group. We analyzed their associations with incident myocardial infarction (MI) and stroke using medical records of 355 901 UK Biobank participants and performed 2-sample Mendelian randomization for each outcome. Compared with healthy sleep, long-sleep EDS was associated with an 83% increased rate of MI (hazard ratio, 1.83 [95% CI, 1.21-2.77]) during 8.2-year median follow-up, adjusting for multiple health and sociodemographic factors. Mendelian randomization analysis provided supporting evidence of a causal role for a genetic long-sleep EDS subtype in MI (inverse-variance weighted β=1.995, P=0.001). In contrast, we did not find evidence that other subtypes of EDS were associated with incident MI or any associations with stroke (P>0.05).

CONCLUSIONS

Our study suggests the previous evidence linking EDS with increased cardiovascular disease risk may be primarily driven by the effect of its long-sleep subtype on higher risk of MI. Underlying mechanisms remain to be investigated but may involve sleep irregularity and circadian disruption, suggesting a need for novel interventions in this population.

The association between long working hours and obstructive sleep apnea assessed by STOP-BANG score: a cross-sectional study

PURPOSE

The relationship between night-shift work and obstructive sleep apnea (OSA) is well known, but that between OSA and long working hours is still unknown. This study explores the association between long working hours and OSA.

METHODS

Using cross-sectional Korean National Health and Nutrition Examination Survey 2020 data, we made multiple logistic regression models to calculate odds ratios (ORs) between weekly working hours and STOP-BANG scores for OSA screening. Stratified regression models by night or rotating shift work were also made.

RESULTS

In an adjusted model of STOP-BANG high-risk versus low-risk groups, the OR in the group exceeding 40 h/wk was higher but not statistically significant, 1.19 [95% confidence interval (CI) 0.66-2.15] compared to the group working 40 h/wk (standard working hours) or less. In the group exceeding 52 h/wk, the OR was 2.03 with statistical significance (95% CI 1.08-3.80). In the stratification analysis of daytime and night-shift work, the daytime worker results were similar to those in the non-stratified model. The point estimation values of ORs in the night-shift workers were higher than in the daytime workers; however, we did not observe a statistical significance.

CONCLUSION

Long working hours can increase the risk of OSA assessed by STOP-BANG scores.

Sleep and Athletic Performance: Impacts on Physical Performance, Mental Performance, Injury Risk and Recovery, and Mental Health: An Update

Sleep health is an important consideration for athletic performance. Athletes are at high risk of insufficient sleep duration, poor sleep quality, daytime sleepiness and fatigue, suboptimal sleep schedules, irregular sleep schedules, and sleep and circadian disorders. These issues likely have an impact on athletic performance via several domains. Sleep loss and/or poor sleep quality can impair muscular strength, speed, and other aspects of physical performance. Sleep issues can also increase risk of concussions and other injuries and impair recovery after injury. Cognitive performance is also impacted in several domains, including vigilance, learning and memory, decision making, and creativity.

Asthma and obstructive sleep apnoea in adults and children - an up-to-date review

Obstructive sleep apnoea (OSA) and asthma are two common respiratory disorders in children and adults. Apart from common risk factors, such as obesity, gastroesophageal reflux disease and allergic rhinitis, emerging evidence suggest that the two diseases may complicate the clinical course of each other. On one hand, OSA modifies asthmatic airway inflammation and is associated with poor asthma control. On the other hand, asthma and its medications increase the collapsibility of the upper airways contributing to the development and worsening of OSA. The overnight respiratory symptoms of OSA and asthma are often similar, and an inpatient polysomnography is often necessary for a proper diagnosis, especially in children. Continuous positive pressure, the gold standard treatment for OSA can improve asthma control in patients suffering from both diseases. However, there is limited evidence how anti-asthma medications act in the same patients. Nevertheless, adenotonsillectomy seems to be effective in children with concomitant asthma and OSA. This review summarises the evidence for the bidirectional link between asthma and OSA, focuses on diagnostic and therapeutic challenges and highlights the need for further research.

Metabolic dysfunction in OSA: Is there something new under the sun?

The growing number of patients with obstructive sleep apnea is challenging healthcare systems worldwide. Obstructive sleep apnea is characterized by chronic intermittent hypoxaemia, episodes of apnea and hypopnea, and fragmented sleep. Cardiovascular and metabolic diseases are common in obstructive sleep apnea, also in lean patients. Further, comorbidity burden is not unambiguously linked to the severity of obstructive sleep apnea. There is a growing body of evidence revealing diverse functions beyond the conventional tasks of different organs such as carotid body and gut microbiota. Chronic intermittent hypoxia and sleep loss due to sleep fragmentation are associated with insulin resistance. Indeed, carotid body is a multi-sensor organ not sensoring only hypoxia and hypercapnia but also acting as a metabolic sensor. The emerging evidence shows that obstructive sleep apnea and particularly chronic intermittent hypoxia is associated with non-alcoholic fatty liver disease. Gut dysbiosis seems to be an important factor in the pathophysiology of obstructive sleep apnea and its consequences. The impact of sleep fragmentation and intermittent hypoxia on the development of metabolic syndrome may be mediated via altered gut microbiota. Circadian misalignment seems to have an impact on the cardiometabolic risk in obstructive sleep apnea. Dysfunction of cerebral metabolism is also related to hypoxia and sleep fragmentation. Therefore, obstructive sleep apnea may alter cerebral metabolism and predispose to neurocognitive impairment. Moreover, recent data show that obstructive sleep apnea independently predicts impaired lipid levels. This mini-review will provide novel insights into the mechanisms of metabolic dysfunction in obstructive sleep apnea combining recent evidence from basic, translational and clinical research, and discuss the impact of positive airway pressure treatment on metabolic disorders.

Comorbid Insomnia and Sleep Apnea: mechanisms and implications of an underrecognized and misinterpreted sleep disorder

Sleep-disordered breathing (SDB) and insomnia have long been recognized as important sleep disrupters often associated with increased morbidity and mortality. Although they are often seen as divergent conditions, mainly because their cardinal symptoms (excessive daytime sleepiness, and sleep loss) differ, these two sleep disorders present with many common symptoms, which may hinder diagnosis and treatment. In addition to possible bidirectional pathways between SDB and insomnia, other factors such as circadian timing may play a role. In this paper, we review the mechanisms, differential clinical aspects, and implications of Comorbid Insomnia and Sleep Apnea, sometimes termed COMISA.

Shift working and cardiovascular health

Adequate sleep is an important component of cardiovascular health. Due to circadian misalignment and irregular shifts, inadequate sleep is common in shift workers. Adverse consequences include daytime sleepiness, decreased cognitive performance, increased sympathetic tone, inflammation, impaired glucose tolerance, and altered leptin and ghrelin levels. When circadian adjustment has not occurred, daytime sleepers often experience decreased sleep duration and increased wakefulness during displaced sleep; additionally, skipping sleep is common in shift workers, further contributing to sleep deprivation. Habitual decreased sleep duration and physiological changes contribute to obesity, diabetes, hypertension, and increased cardiovascular disease risk in shift workers. Shift workers with obstructive sleep apnea (OSA), the most common sleep-related breathing disorder, can experience more frequent sleep disruptions than non-shift workers with OSA. Furthermore, shift work-induced circadian misalignment may potentiate cardiometabolic risk in OSA patients through autonomic nervous system dysfunction and other mechanisms.