The obstructive sleep apnoea/hypopnoea syndrome – An overview

AbstractIn the last 30 years, there has been an explosion in facilities for the diagnosis and treatment of the obstructive sleep apnoea/hypopnoea syndrome (OSAHS) as well as a rapid advancement in the understanding of its consequences. In the general population, the prevalence of OSAHS is approximately 3–7% in adult men and 2–5% in adult women. OSAHS has been recognised as an independent risk factor for disorders such as hypertension, cardiovascular disease and sleepiness-related accidents. Currently, it is considered to be a systemic disease. This review provides a general overview of OSAHS: its epidemiology, pathophysiology, clinical features, diagnosis and treatment, as well as its consequences for public health

Serum leptin and tumor necrosis factor - alpha levels and maximal exercise performance in patients with chronic obstructive pulmonary disease

Systemic inflammation plays an important role in skeletal muscle dysfunction in patients with Chronic Obstructive Pulmonary Disease (COPD). The aim of this study is to determine whether serum leptin and tumor necrosis factor- alpha (TNF-a) levels, as markers of systemic inflammation, affect the maximal exercise performance of COPD patients.Methods: Thirty male COPD patients underwent pulmonary function and progressive exercise testing for maximal exercise and for VO2max determination. Fat Free Mass (FFM), Fat Mass (FM) and Thigh Muscle Area (TMA) were estimated by measuring skinfold thickness. Serum leptin and TNF-a levels were determined in morning blood samples.Results: Significant correlations were found between serum leptin levels and Body Mass Index (BMI) (r = 0.421, p < 0.02), FM (r = 0.551, p < 0.01) and TNF-a (r = 0.521, p < 0.001). Exercise performance, expressed as VO2max, correlated significantly with % FEV1 (r = 0.563, p < 0.001), BMI (r = 0.636, p < 0.001), FFM (r = 0.415, p < 0.02), TMA (r = 0.651, p < 0.001), but not with serum leptin or TNF-a levels. By stepwise regression analysis TMA appeared to be a significant predictor of VO2max in COPD patients.Conclusion: Serum leptin and TNF-a levels were poor predictors of maximal exercise capacity (VO2max) in COPD patients. The best predictors of VO2max during exercise were airflow limitation (%FEV1) and thigh muscle mass expressed by TMA.Results: Significant correlations were found between serum leptin levels and Body Mass Index (BMI) (r = 0.421, p < 0.02)

Does combined training of biofeedback and neurofeedback affect smoking status, behavior, and longitudinal brain plasticity?

Introduction: Investigations of biofeedback (BF) and neurofeedback (NF) training for nicotine addiction have been long documented to lead to positive gains in smoking status, behavior and to changes in brain activity. We aimed to: (a) evaluate a multi-visit combined BF/NF intervention as an alternative smoking cessation approach, (b) validate training-induced feedback learning, and (c) document effects on resting-state functional connectivity networks (rsFCN); considering gender and degree of nicotine dependence in a longitudinal design.Methods: We analyzed clinical, behavioral, and electrophysiological data from 17 smokers who completed five BF and 20 NF sessions and three evaluation stages. Possible neuroplastic effects were explored comparing whole-brain rsFCN by phase-lag index (PLI) for different brain rhythms. PLI connections with significant change across time were investigated according to different resting-state networks (RSNs).Results: Improvements in smoking status were observed as exhaled carbon monoxide levels, Total Oxidative Stress, and Fageström scores decreased while Vitamin E levels increased across time. BF/NF promoted gains in anxiety, self-esteem, and several aspects of cognitive performance. BF learning in temperature enhancement was observed within sessions. NF learning in theta/alpha ratio increase was achieved across baselines and within sessions. PLI network connections significantly changed across time mainly between or within visual, default mode and frontoparietal networks in theta and alpha rhythms, while beta band RSNs mostly changed significantly after BF sessions.Discussion: Combined BF/NF training positively affects the clinical and behavioral status of smokers, displays benefit in smoking harm reduction, plays a neuroprotective role, leads to learning effects and to positive reorganization of RSNs across time.Clinical Trial Registration:https://clinicaltrials.gov/ct2/show/NCT02991781

Impact of Sleep Apnea on Cardioembolic Risk in Patients With Atrial Fibrillation: Data From the ESADA Cohort

Background and purpose: An accurate determination of the cardioembolic risk in patients with atrial fibrillation (AF) is crucial to prevent consequences like stroke. Obstructive sleep apnea (OSA) is a known risk factor for both AF and stroke. We aim to explore a possible association between OSA and an increased cardioembolic risk in patients with AF.Methods: We assessed data from the ESADA (European Sleep Apnea Database) cohort where patients with known AF and OSA were included. Parameters of OSA severity and related hypoxia like lowest Spo2 and 4% oxygen desaturation index were analyzed. Patients were stratified according to their cardioembolic risk estimated with the CHA2DS2-VASc score.Results: From the initial cohort of 14 646 patients, a final set of 363 patients were included in the analysis. Indices of hypoxia during sleep were associated with increased CHA2DS2-VASc score (4% oxygen desaturation index 17.9 versus 29.6 versus 30.5 events/hour and the lowest Spo2 81.2 versus 77.8 versus 77.5% for low, moderate, and high cardioembolic risk, respectively, PConclusions: These results support the potential role of OSA-related hypoxia in the risk for cardioembolic complications such as stroke in patients with AF.</p

Management of obstructive sleep apnea in Europe – A 10-year follow-up

Funding Information: Sleep medicine has been further established and recognized in the past 10 years. This is also shown by the fact that sleep-related diseases may receive a separate chapter in the new ICD-11 (International Classification of Diseases 11th Revision) [11]. However, the initial expansion in sleep laboratories and sleep centers seems to be over, at least in Europe, which stands in contradiction to the growing need. While sleep medical care still seems to be secured by the established structures, the gap between the increasing need and existing structures is still widening [ 12–14]. There is a lack of sleep medicine specialists, new outpatient structures, and new billing models with the sponsoring institutions. Approaches to solve these problems include the establishment and expansion of home sleep apnea testing (HSAT) [15] and telemedicine-based technologies in the diagnosis and treatment of OSA [16,17]. Telemedicine found its way into sleep medicine around 10 years ago [ 18–20]. One of the very first approaches as early as 1994 used a telephone circuit and a computer-controlled support system to improve OSA treatment by improving lifestyle through tele-guidance on nutrition and exercise [21]. Publisher Copyright: © 2022 The Authors Copyright © 2022 Elsevier B.V. All rights reserved.Objective: In 2010, a questionnaire-based study on obstructive sleep apnea (OSA) management in Europe identified differences regarding reimbursement, sleep specialist qualification, and titration procedures. Now, 10 years later, a follow-up study was conducted as part of the ESADA (European Sleep Apnea Database) network to explore the development of OSA management over time. Methods: The 2010 questionnaire including questions on sleep diagnostic, reimbursement, treatment, and certification was updated with questions on telemedicine and distributed to European Sleep Centers to reflect European OSA management practice. Results: 26 countries (36 sleep centers) participated, representing 20 ESADA and 6 non-ESADA countries. All 21 countries from the 2010 survey participated. In 2010, OSA diagnostic procedures were performed mainly by specialized physicians (86%), whereas now mainly by certified sleep specialists and specialized physicians (69%). Treatment and titration procedures are currently quite homogenous, with a strong trend towards more Autotitrating Positive Airway Pressure treatment (in hospital 73%, at home 62%). From 2010 to 2020, home sleep apnea testing use increased (76%–89%) and polysomnography as sole diagnostic procedure decreased (24%–12%). Availability of a sleep specialist qualification increased (52%–65%) as well as the number of certified polysomnography scorers (certified physicians: 36%–79%; certified technicians: 20%–62%). Telemedicine, not surveyed in 2010, is now in 2020 used in diagnostics (8%), treatment (50%), and follow-up (73%). Conclusion: In the past decade, formal qualification of sleep center personnel increased, OSA diagnostic and treatment procedures shifted towards a more automatic approach, and telemedicine became more prominent.Peer reviewe

&lsquo;One Size Doesn&rsquo;t Fit for All&rsquo;: There Is a Need for Targeted Personalized Therapy in Obstructive Sleep Apnea Syndrome

The estimated prevalence of moderate to severe obstructive sleep apnea syndrome (OSA) has increased by 14&ndash;55% over the last few decades [...

Sleep Dysfunction in COVID-19 Patients: Prevalence, Risk Factors, Mechanisms, and Management

During the COVID-19 pandemic, the need to establish the prevalence of sleep dysfunction and psychological distress, identify predisposing and protective factors, and explore effective management strategies remains an important priority. Evidence to date suggests that a considerable proportion of COVID-19 patients experience significant sleep disturbances (estimated to afflict up to 50–75%) as well as psychological distress such as depression, anxiety, and traumatic stress. Duration of hospitalization, pre-existing mental health concerns, lower absolute lymphocyte count, and increased neutrophil-to-lymphocyte ratio have been all associated with a greater risk of sleep dysfunction in infected and hospitalized patients. Furthermore, in this review, we discuss the link between sleep deprivation, susceptibility to viral infections, and psychosocial wellbeing in relevance to COVID-19 and summarize the existing evidence regarding the presence and role of sleep apnea in infected individuals. Finally, we highlight the importance of suitable interventions in order to prevent and manage sleep dysfunction and avoid long-term physical and psychological implications. Future research should aim to provide high-quality information including in high risk, underserved, or difficult to reach populations and on the long-term consequences and effectiveness of applied interventions

Smoking and Obstructive Sleep Apnea: Is There An Association between These Cardiometabolic Risk Factors?—Gender Analysis

Background and Objectives: Studies have tried to establish a relationship between Obstructive Sleep Apnea syndrome (OSA) and smoking but data still remain controversial. We aimed: 1. To evaluate the relationship between smoking and OSA; 2. To explore potential differences according to gender, and 3. To analyze the prevalence of cardiovascular disease (CVD) co-morbidities according to gender and smoking status. Materials and Methods: This retrospective study included 3791 (70.6% males) adult patients who visited a Sleep Clinic. All participants underwent nocturnal polysomnography. Daytime somnolence and insomnia were assessed by using the Epworth Sleepiness Scale (ESS) and the Athens Insomnia Scale (AIS). Ever-smokers completed the Fagerstrom Test for Nicotine Dependence (FTND). Results: OSA was confirmed in 72.1% of participants with 62.2% suffering from moderate-to-severe disease. The number of cigarettes/day, Pack/Years, and FTND were significantly higher in patients with more severe OSA. The prevalence of current smokers was higher in those without OSA or with mild disease, whereas the prevalence of former smokers was higher in moderate and severe OSA. In univariate analysis, current smokers were found to be 1.2 times more likely to have OSA compared with never and former smokers combined and former smokers 1.49 times more likely compared with never smokers. In the multiple regression analysis, after adjusting for BMI, gender, age and number of alcoholic drinks per week, smoking was not found to be significantly associated with OSA. In gender stratified multivariate analyses, no significant associations were observed. CVD co-morbidities were more frequent in more severe OSA. Hypertension, coronary disease and diabetes were more prevalent in former smokers with AHI ≥ 15, compared with current smokers, especially in men. Conclusions: Even if an independent effect of smoking on OSA was not found, the number of cigarettes/day, Pack/Years, and FTND were higher in patients with more severe OSA with more prevalent CVD co-morbidities

Smoking and Obstructive Sleep Apnea: Is There An Association between These Cardiometabolic Risk Factors?—Gender Analysis

Background and Objectives: Studies have tried to establish a relationship between Obstructive Sleep Apnea syndrome (OSA) and smoking but data still remain controversial. We aimed: 1. To evaluate the relationship between smoking and OSA; 2. To explore potential differences according to gender, and 3. To analyze the prevalence of cardiovascular disease (CVD) co-morbidities according to gender and smoking status. Materials and Methods: This retrospective study included 3791 (70.6% males) adult patients who visited a Sleep Clinic. All participants underwent nocturnal polysomnography. Daytime somnolence and insomnia were assessed by using the Epworth Sleepiness Scale (ESS) and the Athens Insomnia Scale (AIS). Ever-smokers completed the Fagerstrom Test for Nicotine Dependence (FTND). Results: OSA was confirmed in 72.1% of participants with 62.2% suffering from moderate-to-severe disease. The number of cigarettes/day, Pack/Years, and FTND were significantly higher in patients with more severe OSA. The prevalence of current smokers was higher in those without OSA or with mild disease, whereas the prevalence of former smokers was higher in moderate and severe OSA. In univariate analysis, current smokers were found to be 1.2 times more likely to have OSA compared with never and former smokers combined and former smokers 1.49 times more likely compared with never smokers. In the multiple regression analysis, after adjusting for BMI, gender, age and number of alcoholic drinks per week, smoking was not found to be significantly associated with OSA. In gender stratified multivariate analyses, no significant associations were observed. CVD co-morbidities were more frequent in more severe OSA. Hypertension, coronary disease and diabetes were more prevalent in former smokers with AHI ≥ 15, compared with current smokers, especially in men. Conclusions: Even if an independent effect of smoking on OSA was not found, the number of cigarettes/day, Pack/Years, and FTND were higher in patients with more severe OSA with more prevalent CVD co-morbidities