Sleep and cardiovascular disease: an overview

The Impact of Craniofacial Skeletal Patterns on Sleep Quality and Oral Health-Related Quality of Life Among Adults

Purpose

This study aimed to assess the possible impact of sagittal and vertical skeletal patterns on sleep quality and oral health-related quality of life (OHRQoL).

Patients and Methods

Following the acquisition of their written informed consent, 330 patients who applied for orthodontic treatment and who met the inclusion requirements were invited to take part in the study by completing the following questionnaires: Beck Depression Inventory (BDI), Pittsburgh Sleep Quality Index (PSQI), and Oral Health Impact Profile (OHIP-14). According to criteria like incomplete questionnaires, BDI score above 17 and body mass index higher than 30, 50 patients' data were excluded. Two hundred and eighty participants were classified according to their sagittal and vertical patterns and the hyoid bone distance to the mandibular plane (GoGn) and anterior cranial base (SN). Oral health-related quality of life and its components, sleep quality and its components were compared between groups.

Results

The PSQI scores for the sagittal and vertical groups did not significantly differ from each other, except for the normodivergent and hyperdivergent groups' total scores. It was observed that when the Hyoid-SN line distance decreased; the sleep quality decreased with an increase in the "sleep disturbance" and "daytime dysfunction". Neither the Hyoid-GoGn distance nor vertical or sagittal patterns were found to be related to OHRQoL. There was a significant correlation between OHIP-14 and PSQI.

Conclusion

Our findings showed that various vertical and sagittal craniofacial features would not affect the OHRQoL scores. PSQI scores appear to be unaffected by the sagittal pattern, but a significant difference was noted in the total score between groups formed considering the vertical pattern.

Sleep deprivation impacts the immunological milieu of epididymis leading to low sperm quality in rats

Sleep deprivation (SD) has been demonstrated to cause male reproductive dysfunction; however, its underlying mechanisms remain unclear. In this work, we conduct Mendelian randomization analysis, which indicates a significant association between sleep disorders and male infertility in humans. To explore the potential mechanism, ten-week-old male Sprague-Dawley rats are subjected to continuous SD for five days, showing significantly reduced epididymal sperm concentration and motility compared to the control group. SD treatment also decreases serum testosterone levels and epididymal sperm transit time in male rats. Histological analysis reveals reproductive system damage, while bulk and single-cell RNA sequencing highlight that SD significantly alters transcriptomes and induces differentially expressed genes with significant heterogeneity across three segments of the epididymis. Gene ontology analysis indicates that SD upregulates inflammatory response genes, especially in the more inflammation-sensitive cauda epididymis. Moreover, SD activates immune cells and causes cytokines and chemokines to accumulate in the cauda epididymis. However, recovery sleep mitigates this damage. Our findings reveal that continuous SD disrupts the epididymal immunological microenvironment, lowering sperm quality and potentially contributing to male infertility.

New-Onset Postoperative Atrial Fibrillation and Preoperative Sleep in Cardiac Surgical Patients

Background

New-onset postoperative atrial fibrillation is associated with adverse clinical outcomes in older adults. Poor preoperative sleep quality is a putative modifiable risk factor. The relationships between new-onset postoperative atrial fibrillation and preoperative sleep structure in older adults undergoing elective cardiac surgery were investigated at a single center.

Methods

This was a prespecified substudy within a prospective observational study of perioperative electroencephalographic markers (ClinicalTrials.gov; NCT03291626). We analyzed preoperative sleep recordings from 71 cardiac surgical patients aged ≥60 years without a prior history of atrial fibrillation. Overnight recordings were acquired using a consumer-grade headband and underwent manual sleep staging. Electroencephalographic slow wave activity (power in the 0.5-4 Hz frequency band) was computed in 1-minute intervals for non-rapid eye movement sleep stages. Associations between new-onset postoperative atrial fibrillation incidence and sleep measures were evaluated using univariate logistic regression models and multivariate logistic regression models including age and sex.

Results

New-onset postoperative atrial fibrillation was present in 22 of 71 (31%) patients. A higher preoperative percentage of total sleep time in non-rapid eye movement stage 1 was associated with new-onset postoperative atrial fibrillation (median difference of 5.4%, P = .0002, Mann-Whitney U-test), independent of age and sex. No associations were observed between new-onset postoperative atrial fibrillation and other sleep metrics, including slow wave activity (all P > .05, Mann-Whitney U-test).

Conclusions

Excess preoperative non-rapid eye movement stage 1 sleep, consistent with greater sleep fragmentation, is a potential modifiable target for mitigating new-onset postoperative atrial fibrillation risk in older adults undergoing elective cardiac surgery requiring cardiopulmonary bypass.

WaveSleepNet: An Interpretable Network for Expert-Like Sleep Staging

Although deep learning algorithms have proven their efficiency in automatic sleep staging, their "black-box" nature has limited their clinical adoption. In this study, we propose WaveSleepNet, an interpretable neural network for sleep staging that reasons in a similar way to sleep clinical experts. In this network, we utilize the latent space representations generated during training to identify characteristic wave prototypes corresponding to different sleep stages. The feature representation of an input signal is segmented into patches within the latent space, each of which is compared against the learned wave prototypes. The proximity between these patches and the wave prototypes is quantified through scores, indicating the prototypes' presence and relative proportion within the signal. The scores serve as the decision-making criteria for final sleep staging. During training, an ensemble of loss functions is employed for the prototypes' diversity and robustness. Furthermore, the learned wave prototypes are visualized by analyzing occlusion sensitivity. The efficacy of WaveSleepNet is validated across three public datasets, achieving sleep staging performance that are on par with those of the state-of-the-art models. A detailed case study examining the decision-making process of WaveSleepNet demonstrates that it aligns closely with American Academy of Sleep Medicine (AASM) manual guidelines. Another case study systematically explained the misidentified reasons behind each sleep stage. WaveSleepNet's transparent process provides specialists with direct access to the physiological significance of the model's criteria, allowing for future validation, adoption and further enrichment by sleep clinical experts.

Sleep as a window of cardiometabolic health: The potential of digital sleep and circadian biomarkers

Digital biomarkers are quantifiable and objective indicators of a person's physiological function, behavioral state or treatment response, that can be captured using connected sensor technologies such as wearable devices and mobile apps. We envision that continuous and 24-h monitoring of the underlying physiological and behavioral processes through digital biomarkers can enhance early diagnostics, disease management, and self-care of cardiometabolic diseases. Cardiometabolic diseases, which include a combination of cardiovascular and metabolic disorders, represent an emerging global health threat. The prevention potential of cardiometabolic diseases is around 80%, indicating a promising role for interventions in the lifestyle and/or the environmental context. Disruption of sleep and circadian rhythms are increasingly recognized as risk factors for cardiometabolic disease. Digital biomarkers can be used to measure around the clock, that is, day and night, to quantify not only sleep patterns but also diurnal fluctuations of certain biomarkers and processes. In this way, digital biomarkers can support the delivery of optimal timed medical care. Night-time cardiometabolic patterns, such as blood pressure dipping, are predictive of cardiometabolic health outcomes. In addition, the sleep period provides an opportunity for digital cardiometabolic health monitoring with relatively low influence of artifacts, such as physical activity and eating. Digital biomarkers that utilize sleep as a window of health can be used during daily life to enable early diagnosis of cardiometabolic diseases, facilitate remote patient monitoring, and support self-management in people with cardiometabolic diseases. This review describes the influence of sleep and circadian rhythms on cardiometabolic disease and highlights the state-of-the-art sleep and circadian digital biomarkers which could be of benefit in the prevention of cardiometabolic disease.

Network analysis of smoking-related sleep characteristics in Chinese adults

The associations between multiple sleep characteristics and smoking behavior are inconsistent, and it is unclear which sleep characteristics are most crucial for tobacco prevention. This study aimed to explore the associations between smoking status/intensity and multiple sleep characteristics and to identify the potential core domain of smoking-related sleep using network analysis. Data were obtained from a survey of cancer-related risk factors among Chinese adults. Logistic regression models were used to quantify the associations between sleep characteristics and smoking status/intensity. Network analyses were employed to identify the core sleep characteristics. A total of 5,228 participants with a median age of 44 years old were included in the study. Current smoking was significantly positively associated with long nap time, difficulty falling asleep, late bedtime, getting up after 7 am, and waking up earlier than expected. There was significant positive association between current smoking and short sleep duration in young adults under 45 years old. Late bedtime and getting up after 7 am were only associated with current heavy smoking, but not current light smoking. Network analyses showed that multiple smoking-related sleep characteristics were interconnected, with difficulty falling asleep and late bedtime as central characteristics in the network. The study found that the associations between sleep characteristics and smoking varied by age and smoking intensity and highlights the potential benefits of sleep health promotion in smoking cessation, with a particular focus on difficulty falling asleep and late bedtime.

Correlates of multidimensional sleep in premenopausal women: The BioCycle study

Purpose

To identify sleep dimensions (characteristics) that co-occur in premenopausal women. The second aim was to examine associations between multiple dimensions of sleep and a set of demographic, lifestyle, and health correlates. The overarching goal was to uncover patterns of poor-sleep correlates that might inform interventions to improve sleep health of women in this age group.

Methods

The BioCycle Study included 259 healthy women aged 18-44y recruited between 2005 and 2007 from Western New York. Participants reported sleep data through daily diaries and questionnaires that were used to create five sleep health dimensions (duration, variability, timing, latency, and continuity). We used multivariate analysis - canonical correlation methods - to identify links among dimensions of sleep health and patterns of demographic, psychological, and occupational correlates.

Results

Two distinct combinations of sleep dimensions were identified. The first - primarily determined by low variability in nightly sleep duration, low variability in bedtime (timing), greater nocturnal awakening, and less sleep onset latency - was distinguished from the second - primarily determined by sleep duration.The first combination of sleep dimensions was associated with older age and higher parity, fewer depressive symptoms, and higher stress level. The second combination of sleep dimensions was associated with perception of longer sleep duration as optimal, lower parity, not engaging in shift work, older age, lower stress level, higher prevalence of depressive symptoms, and White race.

Conclusion

Among premenopausal women, we demonstrated distinct patterns of sleep dimensions that co-occur and vary by demographic, health, and lifestyle correlates. These findings shed light on the correlates of sleep health vulnerabilities among young women.

Up-to-date advance in the relationship between obstructive sleep apnea and heart failure: a narrative review

PURPOSE

Obstructive sleep apnea (OSA) is recognized as an independent and significant risk factor for various cardiovascular and cerebrovascular conditions, including heart failure (HF). In this review, we explore the impact of OSA on HF, examine shared contributing factors and underlying pathophysiological mechanisms, and assess the treatment options for OSA and their potential therapeutic value in HF patients.

METHODS

Pubmed/MEDLINE were searched through September 2024 to explore the relationship between OSA and HF. The relevant papers included OSA and HF, risk factors of OSA and HF, and the prognosis and treatment of HF patients with OSA.

RESULTS

The results showed that OSA increased the risk of HF. OSA can exacerbate or contribute to the onset of HF in several ways. The application of continuous positive airway pressure (CPAP) and other treatments may benefit HF patients with OSA. Drug therapy has shown promise for treating OSA, extensive multi-center studies remain essential, particularly in patients with both OSA and HF.

CONCLUSION

OSA can exacerbate or contribute to the onset and recurrence of HF in several ways. Further studies should be carried out to explore effective treatments in patients with HF and OSA.

Investigation of Depression, Anxiety, Sleep Quality, and Fatigue in Thalassemia Major Patients: A Study of the Correlation Between Sleep Quality and Laboratory Findings

INTRODUCTION

Thalassemia major (TM) experiences a high rate of psychiatric problems, with frequent occurrences of depression and anxiety as well as a high incidence of insomnia. In the present study, we aimed to investigate the severity of depression, anxiety, sleep disorders, sleep quality, and fatigue and explore the relationship between sleep quality and laboratory parameters.

METHODS

Twenty-eight patients and 37 healthy volunteers were included. Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), Epworth Sleepiness Scale (ESS), Beck Depression Inventory, Beck Anxiety Inventory, and Fatigue Severity Scale were used.

RESULTS

We found 46.43% of TM patients had depression, 78.5% had mild anxiety, and 3.57% had severe anxiety. ISI score (p = 0.027), ISI subthreshold insomnia percentage (p = 0.027), PSQI global score (p = 0.002), PSQI insomnia percentage (p = 0.025), PSQI subjective sleep quality (p = 0.008), PSQI sleep latency (p = 0.003), fatigue score (p = 0.026), and chronic fatigue (p = 0.037) percentage were significantly higher in the patients group than in the controls group. Ferritin was positively correlated with PSQI subjective sleep quality (r = 0.478, p = 0.010) and fatigue score (r = 0.427, p = 0.023). Heart involvement in magnetic resonance imaging was positively correlated with ISI score (r = 0.426, p = 0.024) and ISI classification (r = 0.455, p = 0.015).

DISCUSSION

Depression and anxiety were significantly higher in TM patients compared to healthy controls. Chronic fatigue and insomnia were more common in TM patients, with subjective sleep quality being impaired and sleep latency prolonged. Furthermore, it was observed that individuals with higher ferritin levels had higher scores of subjective sleep quality and fatigue. Additionally, as cardiac involvement increased, severity of insomnia also increased.

The Relationship Between Big Five Personality Traits and Sleep Patterns: A Systematic Review

Sleep, an intrinsic aspect of human life, is experienced by individuals differently which may be influenced by personality traits and characteristics. Exploring how these traits influence behaviors and sleep routines could be used to inform more personalized and effective interventions to promote better sleep. Our objective was to summarize the existing literature on the relationship between personality traits and sleep patterns through a systematic review. An abstract and keyword search was conducted in PsycINFO, Cochrane and PubMed, collecting relevant literature, published between January 1980 and June 2024. A total of 1713 records were found, of which 18 studies were analyzed in the descriptive synthesis. Relevant studies covered populations in 11 different countries, Australia, China, Estonia, Finland, Germany, Italy, Japan, Poland, Turkey, the United Kingdom, and the United States, comprising a total of 58,812 subjects. All studies reported an association between a sleep pattern with at least one of the Big Five personality traits (agreeableness, conscientiousness, extraversion, neuroticism, openness to experience). Ten studies found associations between personality and sleep quality, all of which reported a link between neuroticism and sleep quality (effect sizes 0.183-0.40). Five studies found an association between conscientiousness and morningness (effect sizes 0.16-0.35). Other sleep patterns linked to personality traits included sleep duration, nightmare frequency and distress, sleep deficiency, sleep continuity, insomnia severity and sleep problems, sleep hygiene, sleep latency and daytime sleepiness. This novel systematic review confirms that sleep and personality traits are related, suggesting that those traits should be considered when trying to understand or change one's sleep behavior.

The pulse of sleep: novel interventions in understanding the sleep-cardiovascular connection: a literature review

Introduction

Sleep disorders represent common complaints in different medical illnesses. They encompass a risk for diverse inflammatory, metabolic, and cardiovascular diseases. Sleep disorders include disorders of hypersomnolence, insomnia, parasomnias, sleep-related movement disorders, circadian rhythm sleep-wake-disorders, and sleep-related breathing disorders, each one of which was associated with increased cardiovascular disease risk in a different mechanism. In this review, the authors address the most recent research on the correlation between sleep and CVD.

Methods

The literature on sleep disorders and their potential links to various cardiovascular diseases was reviewed in narrative form. For the published papers up to June 2023, the authors searched the databases of PubMed and Google Scholar. Literature demonstrating the relationship between these illnesses, pathophysiological mechanisms, diagnosis, and various therapeutic approaches was included.

Results

Sleep disorders were significantly linked to heart rate variability, hypertension, and obesity, which can eventually result in cardiovascular consequences and affect mortality and morbidity. The disruption in sleep cycles, which can be noticed in different sleep disorders, can obviously result in blood pressure, heart rate, and other cardiac functions. The clinical assessment acts as the cornerstone in the diagnosis of different spectrums of sleep disorders. The management of sleep disorders ranges from cognitive-behavioral therapy to continuous positive airway pressure (CPAP).

Conclusion

Additional research on the topic is needed to pinpoint any potential links and pathological processes. To improve clinical treatment and preventive measures, further observational studies should emphasize the reliability of early diagnostic signs.

Chronic Partial Sleep Deprivation Increased the Incidence of Atrial Fibrillation by Promoting Pulmonary Vein and Atrial Arrhythmogenesis in a Rodent Model

Sleep deprivation (SD) is a recognized risk factor for atrial fibrillation (AF), yet the precise molecular and electrophysiological mechanisms behind SD-induced AF are unclear. This study explores the electrical and structural changes that contribute to AF in chronic partial SD. We induced chronic partial SD in Wistar rats using a modified multiple-platform method. Echocardiography demonstrated impaired systolic and diastolic function in the left ventricle (LV) of the SD rats. The SD rats exhibited an elevated heart rate and a higher low-frequency to high-frequency ratio in a heart-rate variability analysis. Rapid transesophageal atrial pacing led to a higher incidence of AF and longer mean AF durations in the SD rats. Conventional microelectrode recordings showed accelerated pulmonary vein (PV) spontaneous activity in SD rats, along with a heightened occurrence of delayed after-depolarizations in the PV and left atrium (LA) induced by tachypacing and isoproterenol. A Western blot analysis showed reduced expression of G protein-coupled receptor kinase 2 (GRK2) in the LA of the SD rats. Chronic partial SD impairs LV function, promotes AF genesis, and increases PV and LA arrhythmogenesis, potentially attributed to sympathetic overactivity and reduced GRK2 expression. Targeting GRK2 signaling may offer promising therapeutic avenues for managing chronic partial SD-induced AF. Future investigations are mandatory to investigate the dose-response relationship between SD and AF genesis.

Association between life's essential 8 and overactive bladder

Limited research has explored the relationship between overactive bladder (OAB) and cardiovascular health (CVH). We aim to examine the correlation between OAB and CVH in American adults, utilizing the Life's Essential 8 (LE8). We included 70,190 individuals from the National Health and Nutrition Examination Survey spanning from 2005 to 2018. In our study, the independent variable is LE8 score, where higher scores denote better CVH. The dependent variable is the presence of OAB. We employed multivariable logistic regression along with restricted cubic splines to evaluate the association between LE8 and OAB. Additionally, we performed interaction analyzes on subgroups to validate the findings. There is a significant negative correlation between LE8 scores and OAB. Upon adjusting for all covariates, a 10-point increase in LE8 total score correlated with a 17% decrease in the odds of OAB [0.83 (95% CI 0.78, 0.89)]. Compared to participants with lower LE8 scores, those with higher LE8 scores had a 46% lower probability of developing OAB. Consistent results were also observed in the association between scores of four health behaviors and four health factors and OAB. Furthermore, a notable interaction was observed between LE8 scores and smoking status. This study showed a significant negative correlation between LE8 scores and OAB prevalence.

Obstructive Sleep Apnea and Risk of Postoperative Complications after Non-Cardiac Surgery

Obstructive sleep apnea (OSA), a common sleep disorder, poses significant challenges in perioperative management due to its complexity and multifactorial nature. With a global prevalence of approximately 22.6%, OSA often remains undiagnosed, and increases the risk of cardiac and respiratory postoperative complications. Preoperative screening has become essential in many institutions to identify patients at increased risk, and experts recommend proceeding with surgery in the absence of severe symptoms, albeit with heightened postoperative monitoring. Anesthetic and sedative agents exacerbate upper airway collapsibility and depress central respiratory activity, complicating intraoperative management, especially with neuromuscular blockade use. Additionally, OSA patients are particularly prone to opioid-induced respiratory depression, given their increased sensitivity to opioids and heightened pain perception. Thus, regional anesthesia and multimodal analgesia are strongly advocated to reduce perioperative complication risks. Postoperative care for OSA patients necessitates vigilant monitoring and tailored management strategies, such as supplemental oxygen and Positive Airway Pressure therapy, to minimize cardiorespiratory complications. Health care institutions are increasingly focusing on enhanced monitoring and resource allocation for patient safety. However, the rising prevalence of OSA, heterogeneity in disease severity, and lack of evidence for the efficacy of costly perioperative measures pose challenges. The development of effective screening and monitoring algorithms, alongside reliable risk predictors, is crucial for identifying OSA patients needing extended postoperative care. This review emphasizes a multidimensional approach in managing OSA patients throughout the perioperative period, aiming to optimize patient outcomes and minimize adverse outcomes.

An observational study: The relationship between sleep quality and angiographic progression in patients with chronic coronary artery disease

BACKGROUND AND AIMS

Previous studies reported that sleeping disorders were associated with presence and severity of coronary artery disease (CAD). We aimed to evaluate the relationship between the angiographic progression of CAD with sleep quality.

METHODS

We enrolled 690 patients who had angiography history with diagnosis of chronic CAD, requiring new angiography according to clinical, and laboratory evaluation among 1654 patients with complaint of stable angina. Previous and new coronary angiography images of patients were compared to evaluate the presence of angiographic progression using quantitative coronary analysis measurement. A 1:2 propensity score matching was performed. Thus, the patient population was divided into two groups including non-progressors group (n = 156) and progressors group (n = 78). Groups were compared in terms of sleep quality and disorder using Pittsburgh Sleep Quality Index (PSQI) and STOP-Bang questionnaire.

RESULTS

Progressors had shorter sleep duration, higher PSQI score indicating poorer sleep quality and higher STOP BANG score indicating increased sleep apnea risk than non-progressors (p < 0.05). The multivariate logistic regression analysis determined that night shift work (OR: 1.38, p = 0.04), sleep duration difference (OR: 1.25, p = 0.03), poorer sleep quality (OR: 2.08, p = 0.01), high STOP BANG score (OR: 1.86, p = 0.004), and high risk of sleep apnea (OR: 3.84, p = 0.008) were independently associated with significant risk of angiographic CAD progression.

CONCLUSION

Our findings suggested that angiographically proven chronic CAD progression was associated with poor sleep quality including high apnea risk. Selected patients should be subjected to an advanced evaluation including sleep study to diagnose sleep disorders such as sleep apnea. Treatment of sleep disorders can support existing medical and/or invasive treatments in chronic CAD and improve outcomes.

Posttraumatic Stress Disorder Symptoms and Sleep Disturbances Among Asian Indians: A Systematic Review

Substantial comorbidity exists between posttraumatic stress disorder and sleep disturbances/disorders. Such comorbidities are understudied in minority groups, including Asian Indians residing in countries outside India. Thus, we synthesized the existing literature specific to this group of Asian Indians to determine (a) prevalence estimates of posttraumatic stress disorder (PTSD) and sleep disturbances/disorders; and (b) PTSD-sleep comorbidity estimates. For this systematic review, we searched four databases (PubMed, PsycInfo, PTSDpubs, Web of Science) using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Of 3,796 screened articles, 9 articles (10 studies) met inclusion criteria. Study sample sizes ranged from 11 to 2,112 Asian Indians; studies were conducted in Singapore or Malaysia. No reviewed study examined PTSD. All studies examined sleep disturbances/disorders among Asian Indians; prevalence estimates were: 8.3% to 70.4% for short sleep duration, 2.0% to 22.9% for long sleep duration, 25.9% to 56.3% for poor sleep quality, 3.4% to 67.5% for insomnia diagnosis or probable insomnia, 7.7% for excessive daytime sleepiness, 3.8% to 54.6% for obstructive sleep apnea (OSA) diagnosis or high OSA risk, and 5.1% to 11.1% for sleep-disordered breathing. Specific to Asian Indians residing in countries outside India, this review advances PTSD-sleep literature by (a) suggesting substantial prevalence of sleep disturbances/disorders; (b) highlighting the need for culturally relevant sleep interventions; and (c) highlighting research gaps (e.g., no PTSD-focused research).

Spatial variations in the associations of mental distress with sleep insufficiency in the United States: a county-level spatial analysis

In this research, we conducted hierarchical multiple regression and complex sample general linear model (CSGLM) to expand knowledge on factors contributing to mental distress, particularly from a geographic perspective. Based on the Getis-Ord G* hot-spot analysis, geographic distribution of both FMD and insufficient sleep showed several contiguous hotspots in southeast regions. Moreover, in the hierarchical regression, even after accounting for potential covariates and multicollinearity, a significant association between FMD and insufficient sleep was found, explaining that mental distress increases with increasing insufficient sleep (R2 = 0.835). In the CSGLM, a R2 value of 0.782 indicated that the CSGLM procedure provided concrete evidence that FMD was significantly related to sleep insufficiency even after taking complex sample designs and weighting adjustments in the BRFSS into account. This geographic association between FMD and insufficient sleep based on cross-county study has not been reported before in the literature. These findings suggest a need for further investigation on geographic disparity on mental distress and insufficient sleep and have novel implications in our understanding of the etiology of mental distress.

What is known from the existing literature about how sleep is measured in HIV care? A scoping review

The HIV care landscape has significantly altered over the past 30 years with advances in HIV medical treatment. Despite these medical advances, people living with HIV experience a significant number of issues that affect their health-related quality of life, including sleep. Although poor sleep quality is common, there remains a lack of understanding of how to identify sleep issues in order to improve outcomes for people living with HIV. A scoping review of three databases as well as the grey literature yielded 2932 articles, of which 60 met the inclusion criteria. The following themes were identified: range of methods used to assess sleep, self-reported sleep measures and objective measures of sleep. The review found that a number of different measures of sleep were used within the research, the most commonly used being the Pittsburgh Sleep Quality Index. Due to the variety of approaches being used to measure sleep (n=18) there was a lack of consistency in what aspects of sleep were being explored, and in many cases why the measure of sleep was chosen. Furthermore, there was a lack of meaningful clinical recommendations as to how these findings could be used to improve outcomes for people living with HIV.

Relationship between daytime napping and cardiovascular disease: A two-sample mendelian randomization study

OBJECTIVE

Daytime napping has been reported to have a potential association with an increased risk of cardiovascular diseases (CVDs) in several cohort studies, but the causal effects are unclear. In this study, we aimed to investigate the relationship between daytime napping and CVDs, as well as to validate causality in this relationship by Mendelian randomization (MR).

METHODS

A two-sample MR method was used to evaluate the causal effect of daytime napping on CVDs. The exposure of daytime napping was extracted from publicly available genome-wide association studies (GWASs) in the UK Biobank, and the outcomes of 14 CVDs were obtained from the FinnGen consortium. A total of 49 single-nucleotide polymorphisms (SNPs) were used as the instrumental variables. The effect estimates were calculated by using the inverse-variance weighted method.

RESULTS

The MR analyses showed that genetically predicted daytime napping was associated with an increased risk of five CVDs, including heart failure (odds ratio (OR): 1.71, 95% CI: 1.19-2.44, p = 0.003), hypertension (OR: 1.51, 95% CI: 1.05-2.16, p = 0.026), atrial fibrillation (OR: 1.71, 95% CI: 1.02-2.88, p = 0.042), cardiac arrythmias (OR: 1.47, 95% CI: 1.47, 95% CI: 1.01-2.13, p = 0.042) and coronary atherosclerosis (OR: 1.77, 95% CI: 1.17-2.68, p = 0.006). No significant influence was observed for other CVDs.

CONCLUSION

This two-sample MR analysis suggested that daytime napping was causally associated with an increased risk of heart failure, hypertension, atrial fibrillation, cardiac arrythmias and coronary atherosclerosis.

A nationwide study on sleep complaints and associated factors in older adults: ELSI-Brazil

Sleep problems, such as difficulty falling asleep, staying asleep, early awakening with failure to continue sleep, and altered sleep-wake cycle, are common in the general population. This cross-sectional study with 6,929 older adults (≥ 60 years) aimed to estimate the prevalence of different types of sleep problems, their associated factors, and the population-attributable fraction of associated factors among older adults. The outcome variables consisted of self-reported sleep problems: insomnia (initial, intermediate, late, and any type of insomnia), poor sleep quality, and daytime sleepiness. The independent variables were sociodemographic and behavioral characteristics and health conditions. The prevalence proportions were initial insomnia (49.1%), intermediate insomnia (49.2%), late insomnia (45.9%), any type of insomnia (58.6%), poor sleep quality (15.6%), and daytime sleepiness (38.4%). Female sex, presence of two or more chronic diseases, not eating the recommended amount of fruits and vegetables, and regular and bad/very bad self-rated health were positively associated with the sleep problems investigated. Consuming alcohol once a month or more was inversely associated with initial insomnia. Population attributable fraction estimates ranged from 3% to 19% considering two or more chronic diseases, not eating the recommended amount of fruits and vegetables, and regular and bad/very bad self-rated health. High prevalence of self-reported sleep problems was evinced in older adults. These results can be useful to guide public health services in the creation of informational, evaluative, and screening strategies for sleep problems in older Brazilian adults.

The Menstrual Cycle's Influence on Sleep Duration and Cardiovascular Health: A Comprehensive Review

The menstrual cycle, a fundamental biological process in women, extends its influence beyond reproduction, impacting sleep duration and cardiovascular health. This comprehensive review delves into the intricate connections that bind these three vital aspects of women's health. Beginning with thoroughly exploring the menstrual cycle, we uncover its phases and the dynamic hormonal fluctuations that underlie each stage. We pay special attention to estrogen and progesterone, the primary sex hormones orchestrating the menstrual cycle. With their rhythmic rise and fall, these hormones orchestrate events, affecting sleep duration, sleep patterns, and various indicators of cardiovascular well-being. The review examines how the menstrual cycle influences sleep patterns, exploring the nuanced changes in sleep duration observed throughout menstrual phases. We elucidate the contributing factors, encompassing hormonal fluctuations, the impact of pain and discomfort, and the significance of emotional and psychological factors. All of these elements collectively contribute to variations in sleep quality. Shifting our focus to the cardiovascular system, we investigate the bidirectional relationships between sleep disturbances and cardiovascular conditions, emphasizing the need to address sleep-related issues in the context of cardiovascular risk. The menstrual cycle is analyzed as a pivotal mediator in these intricate connections, exploring how hormonal fluctuations across menstrual phases can influence sleep patterns and cardiovascular health. This analysis provides valuable insights into the complex causality web. As clinical implications emerge, we emphasize the importance of tailoring healthcare strategies for individuals with irregular menstrual cycles. We explore potential interventions, from personalized care and hormone management to lifestyle adjustments, to improve sleep and cardiovascular well-being. In conclusion, this comprehensive review sheds light on the interplay between the menstrual cycle, sleep duration, and cardiovascular health. It underscores the urgent necessity for personalized healthcare approaches and preventive strategies, empowering women to navigate these intricate relationships. Ultimately, through a nuanced understanding of these interactions, we can work towards enhancing women's overall well-being and reducing cardiovascular risk within the context of menstrual cycle-related influences.

Evaluation of a novel device to assess obstructive sleep apnea and body position

STUDY OBJECTIVES

Obstructive sleep apnea is a prevalent disease with well-known complications when left untreated. Advances in sleep-disordered breathing diagnosis may increase detection and appropriate treatment. The Wesper device is a recently developed portable system with specialized wearable patches that can measure respiratory effort, derived airflow, estimated air pressure, and body position. This study sought to compare the diagnostic ability of the novel Wesper device with the gold standard of polysomnography.

METHODS

Patients enrolled in the study underwent simultaneous polysomnography and Wesper device testing in a sleep laboratory setting. Data were collected and scored by readers blinded to all patient information, and the primary reader was blinded to testing method. The accuracy of the Wesper device was determined by calculation of the Pearson correlation and Bland-Altman limits of agreement of apnea-hypopnea indices between testing methods. Adverse events were also recorded.

RESULTS

A total of 53 patients were enrolled in the study and 45 patients were included in the final analysis. Pearson correlation between polysomnography and Wesper device apnea-hypopnea index determinations was 0.951, which met the primary endpoint goal (P = .0003). The Bland-Altman 95% limits of agreement were -8.05 and 6.38, which also met the endpoint goal (P < .001). There were no adverse events or serious adverse events noted.

CONCLUSIONS

The Wesper device compares favorably with gold-standard polysomnography. Given the lack of safety concerns, we advocate for further study regarding its utility in diagnosis and management of sleep apnea in the future.

CITATION

Raphelson JR, Ahmed IM, Ancoli-Israel S, et al. Evaluation of a novel device to assess obstructive sleep apnea and body position. J Clin Sleep Med. 2023;19(9):1643-1649.

A Series of Remote Melatonin Supplement Interventions for Poor Sleep: Protocol for a Feasibility Pilot Study for a Series of Personalized (N-of-1) Trials

BACKGROUND

Poor sleep, defined as short-duration or poor-quality sleep, is a frequently reported condition with many deleterious effects including poorer cognitive functioning, increased accidents, and poorer health. Melatonin has been shown to be an efficacious treatment to manage symptoms of poor sleep. However, the treatment effects of melatonin on sleep can vary greatly between participants. Personalized, or N-of-1, trial designs represent a method for identifying the best treatment for individual participants. Although using N-of-1 trials of melatonin to treat poor sleep is possible, the feasibility, acceptability, and effectiveness of N-of-1 trials using melatonin are unknown. Using the National Institutes of Health Stage Model for Behavioral Intervention Development, a stage IB (intervention refinement, modification, and adaptation and pilot testing) design appeared to be needed to address these feasibility questions.

OBJECTIVE

This trial series evaluates the feasibility, acceptability, and effectiveness of a series of personalized interventions for remote delivery of melatonin dose (3 and 0.5 mg) versus placebo supplements for self-reported poor sleep among 60 participants. The goal of this study is to provide valuable information about implementing remote N-of-1 randomized controlled trials to improve poor sleep.

METHODS

Participants will complete a 2-week baseline followed by six 2-week alternating intervention periods of 3 mg of melatonin, 0.5 mg of melatonin, and placebo. Participants will be randomly assigned to 2 intervention orders. The feasibility and acceptability of the personalized trial approach will be determined with participants' ratings of usability and satisfaction with the remote, personalized intervention delivery system. The effectiveness of the intervention will be measured using participants' self-reported sleep quality and duration and Fitbit tracker-measured sleep duration and efficiency. Additional measures will include ecological momentary assessment measures of fatigue, stress, pain, mood, concentration, and confidence as well as measures of participant adherence to the intervention, use of the Fitbit tracker, and survey data collection.

RESULTS

As of the submission of this protocol, recruitment for this National Institutes of Health stage IB personalized trial series is approximately 78.3% complete (47/60). We expect recruitment and data collection to be finalized by June 2023.

CONCLUSIONS

Evaluating the feasibility, acceptability, and effectiveness of a series of personalized interventions of melatonin will address the longer term aim of this program of research-is integrating N-of-1 trials useful patient care? The personalized trial series results will be published in a peer-reviewed journal and will follow the CONSORT (Consolidated Standards of Reporting Trials) extension for N-of-1 trials (CENT 2015) reporting guidelines. This trial series was approved by the Northwell Health institutional review board.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05349188; https://www.clinicaltrials.gov/study/NCT05349188.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/45313.

Sleep quality moderates the association between family bereavement and heart rate variability

Two separate bodies of literature point to the link between family bereavement and cardiovascular health and between sleep quality and cardiovascular outcomes. However, less is known about the joint influence of family bereavement and sleep quality on cardiovascular functioning. The aims of this study were to examine the relationships between experiencing the death of a family member and heart rate variability (HRV) and to further explore whether these associations differ by sleep quality. Using data from the Midlife in the United States (MIDUS) Biomarker Project, the sample for this study included respondents who experienced the death of an immediate family member - father, mother, spouse, sibling, or child - within a year before the Biomarker project and those who did not experience any deaths (N = 962). We used two measures of HRV and sleep quality was measured using the Pittsburgh Sleep Quality Index. Results showed that experiencing the death of a family member was associated with worse HRV only among those with poor sleep quality and not for those with good sleep quality. These results suggest that poor sleep quality may indicate psychophysiological vulnerability for those who experienced the death of a family member. Interventions to improve sleep quality could be effective in enhancing cardiovascular health of bereaved individuals.

The stress of losing sleep: Sex-specific neurobiological outcomes

Sleep is a vital and evolutionarily conserved process, critical to daily functioning and homeostatic balance. Losing sleep is inherently stressful and leads to numerous detrimental physiological outcomes. Despite sleep disturbances affecting everyone, women and female rodents are often excluded or underrepresented in clinical and pre-clinical studies. Advancing our understanding of the role of biological sex in the responses to sleep loss stands to greatly improve our ability to understand and treat health consequences of insufficient sleep. As such, this review discusses sex differences in response to sleep deprivation, with a focus on the sympathetic nervous system stress response and activation of the hypothalamic-pituitary-adrenal (HPA) axis. We review sex differences in several stress-related consequences of sleep loss, including inflammation, learning and memory deficits, and mood related changes. Focusing on women's health, we discuss the effects of sleep deprivation during the peripartum period. In closing, we present neurobiological mechanisms, including the contribution of sex hormones, orexins, circadian timing systems, and astrocytic neuromodulation, that may underlie potential sex differences in sleep deprivation responses.

The Impact of Underlying Obstructive Sleep Apnea Treatment on Exercise Capacity in Patients With Pulmonary Hypertension Undergoing a Cardiac Rehabilitation Program

PURPOSE

Obstructive sleep apnea (OSA)-related pulmonary hypertension (PH) can often be reversed with treatment of OSA via continuous positive airway pressure. We hypothesized that treatment of OSA would be associated with a greater improvement in exercise capacity (EC) with cardiac rehabilitation (CR), especially in patients with PH as compared with those who are untreated.

METHODS

We reviewed medical records of 315 consecutive patients who participated in CR. Pulmonary hypertension status was assessed on the basis of peak tricuspid regurgitant velocity (>2.8 m/sec) on pre-CR echocardiograms. The OSA status (no, untreated, or treated OSA) was determined on the basis of results from sleep studies, continuous positive airway pressure device data, and physician notes. Exercise capacity was assessed by measuring metabolic equivalents (METs) using a treadmill stress test before and after CR.

RESULTS

We included 290 patients who participated in CR with available echocardiographic data: 44 (15%) had PH, and 102 (35%) had known OSA (30 treated and 72 untreated). Patients with OSA versus those with no OSA were more likely to have PH ( P = .06). Patients with PH versus no-PH were associated with significantly lower baseline METs in crude and adjusted analyses ( P ≤. 004). The PH and OSA status in isolation were not associated with changes in METs ( P > .2) with CR. There was a significant interaction between OSA treatment and PH in crude and adjusted analyses ( P ≤.01): treatment vs no treatment of OSA was associated with a clinically and statistically greater improvement in METs in patients who participated in CR with but not without PH.

CONCLUSION

Baseline PH was associated with decreased baseline EC but did not attenuate CR-related improvements in METs. However, in the subset of OSA patients with PH, OSA therapy was associated with improved EC after CR.

Posttraumatic Stress Disorder (PTSD) as a Risk Factor for Cardiovascular Disease: Implications for Future Research and Clinical Care

PURPOSE OF REVIEW

Posttraumatic stress disorder (PTSD) may be an important risk factor for cardiovascular disease (CVD). We explore the literature linking PTSD to CVD, potential mechanisms, interventions, and clinical implications. We outline gaps in current literature and highlight necessary future research.

RECENT FINDINGS

PTSD has been independently associated with deleterious effects on cardiovascular health through biological, behavioral, and societal pathways. There are evidence-based psychotherapeutic interventions and pharmacotherapies for PTSD that may mitigate its impact on CVD. However, there are limited studies that rigorously analyze the impact of treating PTSD on cardiovascular outcomes. Trauma-informed CVD risk stratification, education, and treatment offer opportunities to improve patient care. These approaches can include a brief validated screening tool for PTSD identification and treatment. Pragmatic trials are needed to test PTSD interventions among people with CVD and evaluate for improved outcomes.

Acculturation and depression are associated with short and long sleep duration among Mexican Americans in NHANES 2005-2018

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Length of time in the US was associated with long sleep duration.

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Individuals who speak majority English had higher odds of short sleep duration.

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Depression severity was linked to short and long sleep duration.

Acculturation and depression are linked to poor sleep quality and sleep problems that may explain ongoing health disparities for Hispanics/Latinos. We examined the associations of acculturation, depression, and sleep duration among the Mexican American population. We used a multinomial logistic regression model on cross-sectional data from the 2005–2018 National Health and Nutrition Examination Survey on 4,700 Mexican American adults aged ≥18 years old. The outcome of sleep duration was operationalized as short (≤6 h), optimal (7–8 h), and long (≥9 h). Acculturation was constructed using years living in the U.S. and language(s) spoken at home (majority Spanish, English and Spanish equally, majority English). Depression severity was assessed using the 9-item Patient Health Questionnaire. Covariates included gender, age, marital status, income, and U.S. citizenship. Speaking majority English (Adjusted Odds Ratio (AOR) = 1.23; 95% Confidence Interval (CI) = 1.00–1.52) and mild (AOR = 1.63; 95%CI = 1.32–2.01), moderate (AOR = 1.94; 95%CI = 1.43–2.63), and moderately severe/severe (AOR = 2.58; 95%CI = 1.72–3.88) levels of depression were significantly associated with short sleep duration. Living in the U.S. for ≥10 years (AOR = 1.61; 95%CI = 1.17–2.23) and moderately severe/severe depression (AOR = 2.30; 95%CI = 1.34–3.93) were significantly associated with long sleep duration. Our results provide additional evidence of a link between acculturation, depression, and short and long sleep duration among the Mexican American population. Understanding the sleep health of this population is important for informing future public health interventions and research. Additional investigation into the relationship between acculturation/depression and other sleep health measures among this population is warranted.

Cardiovascular risks and sociodemographic correlates of multidimensional sleep phenotypes in two samples of US adults

Study Objectives

Sleep is a modifiable risk factor for cardiovascular conditions. Holistic examination of within-person, multidimensional sleep patterns may offer more detailed information about the sleep-cardiovascular condition link, including who is more vulnerable to both. This study aimed to identify common sleep phenotypes in adulthood, establish the validity of the phenotypes in relation to cardiovascular conditions, and explore sociodemographic and background characteristics of the phenotypes.

Methods

Across two independent samples of adults (N ₁ = 4600; N ₂ = 2598) from the Midlife in the United States Study, latent class analysis (LCA) extracted sleep phenotypes using five key self-reported sleep dimensions. Log-binomial regression was used to determine whether sleep phenotypes differentially predicted cardiovascular conditions, adjusting for known risk factors. LCA with covariates was used to compare sociodemographic characteristics of the identified sleep phenotypes.

Results

Four sleep phenotypes were identified consistently across the two samples: good sleepers, nappers, dissatisfied/inefficient sleepers, and irregular sleepers. Compared to good sleepers (reference), dissatisfied/inefficient sleepers exhibited a higher risk of cardiovascular conditions in both samples (RR _Sample1: 29%, RR _Sample2: 53%) and consisted of relatively more racial/ethnic minorities. Nappers exhibited a higher risk of cardiovascular conditions in one sample (RR _Sample1: 38%) and consisted of more women and older adults. Irregular sleepers exhibited no significantly different cardiovascular risk and were relatively younger.

Conclusions

Common sleep phenotypes in adulthood exhibit differential risks for cardiovascular conditions. Cooccurring sleep dissatisfaction and inefficiency, in particular, may relate to increased risk of cardiovascular conditions. Certain sociodemographic groups (racial minorities, women, older adults) disproportionately fit within high-risk sleep phenotypes.

Exploration of using a pressure sensitive mat for respiration rate and heart rate estimation. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2021;2021:298-301. [PMID: 34891295 DOI: 10.1109/embc46164.2021.9629997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0]

Measuring the respiration and heart rate unobtrusively in home settings is an important goal for health monitoring. In this work, use of a pressure sensitive mat was explored. Two methods using body morphology information, based on shoulder blades and weighted centroid, were developed for respiration rate (RR) calculation. Heart rate (HR) was calculated by combining the frequency information from different body regions. Experimental data were collected from 15 participants in a supine position via a pressure sensitive mat placed under the upper torso. RR and HR estimations derived from accelerometer sensors attached to participants' bodies were used as references to evaluate the accuracy of the proposed methods. All three methods achieved a reasonable estimation compared to the reference. The root mean squared error of the proposed RR estimation methods were 1.32 and 0.87 breath/minute respectively, and the root mean squared error of the HR estimation method was 5.55 bpm.

Patient-reported outcome measures in hemodialysis patients: results of the first multicenter cross-sectional ePROMs study in France

Background

Kidney failure with replacement therapy and hemodialysis are associated with a decrease in quality of life (QOL). Self-reported QOL symptoms are not always prioritized by the medical team, potentially leading to conflicting priorities with patients. Electronic patient-reported outcome measures (ePROMs) allow physicians to better identify these symptoms. The objective was to describe the prevalence of symptoms self-reported by hemodialysis (HD) patients.

Methods

A multicenter cross-sectional study was conducted in three HD centers. Patients were included if they were 18 years old or over treated with HD for at least 3 months in a center. Data were collected by the patient via a self-administered ePROMs questionnaire. Data included patient characteristics, post-dialysis fatigue and intensity, recovery time after a session, perceived stress, impaired sleep the day before the dialysis session, current state of health and the change from the past year. A multivariate analysis was conducted to identify relations between symptoms.

Results

In total, we included 173 patients with a mean age of 66.2 years, a mean ± SD hemodialysis duration of 48.9 ± 58.02 months. The prevalence of fatigue was 72%. 66% had a high level of stress (level B or C). Recovery time was more than 6 h after a HD session for 25% of patients and 78% declared they had a better or unchanged health status than the previous year. Sleep disturbance was associated with cardiovascular comorbidities (OR 5.08 [95% CI, 1.56 to 16.59], p = 0.007).

Conclusions

Fatigue and stress were the main symptoms reported by HD patients. The patient’s care teams should better consider these symptoms.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12882-021-02551-3.

Objective Assessment of Daytime Napping and Incident Heart Failure in 1140 Community-Dwelling Older Adults: A Prospective, Observational Cohort Study

Background Disrupted nighttime sleep has been associated with heart failure (HF). However, the relationship between daytime napping, an important aspect of sleep behavior commonly seen in older adults, and HF remains unclear. We sought to investigate the association of objectively assessed daytime napping and risk of incident HF during follow-up. Methods and Results We studied 1140 older adults (age, 80.7±7.4 [SD] years; female sex, 867 [76.1%]) in the Rush Memory and Aging Project who had no HF at baseline and were followed annually for up to 14 years. Motor activity (ie, actigraphy) was recorded for ≈10 days at baseline. We assessed daytime napping episodes between 9 am and 7 pm objectively from actigraphy using a previously published algorithm for sleep detection. Cox proportional hazards models examined associations of daily napping duration and frequency with incident HF. Eighty-six participants developed incident HF, and the mean onset time was 5.7 years (SD, 3.4; range, 1-14). Participants who napped longer than 44.4 minutes (ie, the median daily napping duration) showed a 1.73-fold higher risk of developing incident HF than participants who napped <44.4 minutes. Consistently, participants who napped >1.7 times/day (ie, the median daily napping frequency) showed a 2.20-fold increase compared with participants who napped <1.7 times/day. These associations persisted after adjustment for covariates, including nighttime sleep, comorbidities, and cardiovascular disease/risk factors. Conclusions Longer and more frequent objective napping predicted elevated future risk of developing incident HF. Future studies are needed to establish underlying mechanisms.

Agreement between self-reported and objective measures of sleep in people with HIV and lifestyle-similar HIV-negative individuals

OBJECTIVES

The aim of this study was to evaluate the agreement between self-reported sleep measures and insomnia with objectively measured sleep parameters in people with HIV (PWH) and HIV-negative individuals.

DESIGN

A cross-sectional analysis of PWH and lifestyle-similar HIV-negative individuals.

METHODS

Self-reported measures included time spent in bed, sleep onset latency and a validated insomnia questionnaire. Objective measures were assessed via 7-days/nights of actigraphy data to determine average and intra-individual variability of several sleep measures (including time spent in bed and onset latency). Spearman's correlation coefficient and Cohen's κ were used to assess the agreement between self-reported and actigraphy-assessed measures. Associations between insomnia and actigraphy-assessed sleep parameters were evaluated using partial least-square discriminant analysis (PLS-DA).

RESULTS

We found fair correlation between self-reported and actigraphy-assessed time spent in bed in 342 PWH (rs = 0.46) and 119 HIV-negative individuals (rs = 0.48). Among PWH, the correlation did not differ by age, education, depressive symptoms and self-reported insomnia (all P > 0.05), but was stronger in men (P = 0.05) and in those with a BMI of at least 25 kg/m2 (P < 0.001). Agreement between self-reported and actigraphy-assessed sleep onset latency was poor in both PWH (κ = 0.002, P = 0.49) and HIV-negative individuals (κ = 0.009, P = 0.65). According to PLS-DA, self-reported insomnia most strongly correlated with intra-individual variability of sleep duration, movement index and efficiency.

CONCLUSION

We report poor-to-fair agreement between self-reported and actigraphy-assessed sleep measures in PWH. Insomnia symptoms correlated with regularity of sleep duration, quality and efficiency. These findings highlight the importance of both patient-reported and objective measures of daily sleep variation, for better understanding sleep disorders in PWH.

Sleep Disorders in dogs: A Pathophysiological and Clinical Review

Sleep is a fundamental process in mammals, including domestic dogs. Disturbances in sleep affect physiological functions like cognitive and physical performance, immune response, pain sensation and increase the risk of diseases. In dogs, sleep can be affected by several conditions, with narcolepsy, REM sleep behavior disorder and sleep breathing disorders being the most frequent causes. Furthermore, sleep disturbances can be a symptom of other primary diseases where they can contribute to the worsening of clinical signs. This review describes reciprocally interacting sleep and wakefulness promoting systems and how their dysfunction can explain the pathophysiological mechanisms of sleep disorders. Additionally, this work discusses the clinical characteristics, diagnostic tools and available treatments for these disorders while highlighting areas in where further studies are needed so as to improve their treatment and prevention.

Sleep and the gut microbiome in psoriasis: clinical implications for disease progression and the development of cardiometabolic comorbidities

Background

Sleep dysfunction and sleep disorders are important comorbidities of psoriasis. Not only do these sleep comorbidities contribute to reduced quality of life, but they may also lead to worsening psoriasis and increased susceptibility to cardiometabolic diseases. While psoriasis and sleep dysfunction are thought to be linked by itch, depression, and immune system dysregulation, the relationship between psoriasis and sleep dysfunction is not yet fully understood.

Objective

We sought to compare previous studies characterizing the gut microbiome in psoriasis and sleep dysfunction and examine the potential relevance of shared findings on cardiometabolic and overall health.

Methods

We performed literature searches of PubMed and Embase databases to find studies evaluating the gut microbiome in psoriasis, sleep dysfunction, and cardiometabolic diseases.

Results

Studies characterizing the gut microbiome in psoriasis and sleep dysfunction reveal shared findings, specifically an increased Firmicutes to Bacteroidetes ratio and reduced abundance of short chain fatty acid-producing bacteria. These dysbiotic features have also been shown to promote systemic inflammation and cardiometabolic disease.

Conclusion

In favoring an increased Firmicutes to Bacteroidetes ratio and reduced abundance of short chain fatty acid-producing bacteria, sleep dysfunction could be contributing to worsening psoriasis and cardiometabolic comorbidities through intestinal dysbiosis. Future studies are needed to determine whether gut- and sleep-targeting interventions could be therapeutic in psoriasis patients with poor sleep.

Concussive head injury exacerbates neuropathology of sleep deprivation: Superior neuroprotection by co-administration of TiO2-nanowired cerebrolysin, alpha-melanocyte-stimulating hormone, and mesenchymal stem cells

Sleep deprivation (SD) is common in military personnel engaged in combat operations leading to brain dysfunction. Military personnel during acute or chronic SD often prone to traumatic brain injury (TBI) indicating the possibility of further exacerbating brain pathology. Several lines of evidence suggest that in both TBI and SD alpha-melanocyte-stimulating hormone (α-MSH) and brain-derived neurotrophic factor (BDNF) levels decreases in plasma and brain. Thus, a possibility exists that exogenous supplement of α-MSH and/or BDNF induces neuroprotection in SD compounded with TBI. In addition, mesenchymal stem cells (MSCs) are very portent in inducing neuroprotection in TBI. We examined the effects of concussive head injury (CHI) in SD on brain pathology. Furthermore, possible neuroprotective effects of α-MSH, MSCs and neurotrophic factors treatment were explored in a rat model of SD and CHI. Rats subjected to 48h SD with CHI exhibited higher leakage of BBB to Evans blue and radioiodine compared to identical SD or CHI alone. Brain pathology was also exacerbated in SD with CHI group as compared to SD or CHI alone together with a significant reduction in α-MSH and BDNF levels in plasma and brain and enhanced level of tumor necrosis factor-alpha (TNF-α). Exogenous administration of α-MSH (250μg/kg) together with MSCs (1×10⁶) and cerebrolysin (a balanced composition of several neurotrophic factors and active peptide fragments) (5mL/kg) significantly induced neuroprotection in SD with CHI. Interestingly, TiO₂ nanowired delivery of α-MSH (100μg), MSCs, and cerebrolysin (2.5mL/kg) induced enhanced neuroprotection with higher levels of α-MSH and BDNF and decreased the TNF-α in SD with CHI. These observations are the first to show that TiO₂ nanowired administration of α-MSH, MSCs and cerebrolysin induces superior neuroprotection following SD in CHI, not reported earlier. The clinical significance of our findings in light of the current literature is discussed.

State and trait anxiety in islander cardiac patients: associated factors and the impact of perceived social support

Introduction

Cardiac patients frequently experience elevated levels of anxiety, which may influence clinical outcomes. Perceived social support is a precious resource with which to minimise anxiety. The aim of the study was to explore levels of perceived social support, levels of anxiety (state and trait), and the associated factors as well as the impact of patents’ characteristics and social support on anxiety.

Material and methods

The study sample consisted of 82 island inhabitant patients with cardiac problems (49 men and 33 women). Data collected by the completion of the State-trait anxiety inventory (STAI) and the Multidimensional scale of perceived social support questionnaire (MSPSS). The statistical significance level was set at p < 0.05.

Results

Regarding state and trait anxiety, half of the patients scored below 37 and 38, respectively, (medians) while 25% of participants scored more than 50 and 48, respectively. These values indicate moderate levels of anxiety. Regarding social support, at least 50% of patients scored over 27, 27, and 20 (median) on support from significant ones, family, and friends, respectively. In addition, 25% of patients scored above 28, 28, and 26, respectively. These values indicate high levels of social support. The association between anxiety and social support was found to be linearly negative, meaning that the more support a patient felt, the less anxiety they also experienced.

Conclusions

Enhancing perceived social support may be a key-element in alleviating anxiety among cardiac patients.

Newly identified sleep-wake and circadian circuits as potential therapeutic targets

Optogenetics and chemogenetics are powerful tools, allowing the specific activation or inhibition of targeted neuronal subpopulations. Application of these techniques to sleep and circadian research has resulted in the unveiling of several neuronal populations that are involved in sleep-wake control, and allowed a comprehensive interrogation of the circuitry through which these nodes are coordinated to orchestrate the sleep-wake cycle. In this review, we discuss six recently described sleep-wake and circadian circuits that show promise as therapeutic targets for sleep medicine. The parafacial zone (PZ) and the ventral tegmental area (VTA) are potential druggable targets for the treatment of insomnia. The brainstem circuit underlying rapid eye movement sleep behavior disorder (RBD) offers new possibilities for treating RBD and neurodegenerative synucleinopathies, whereas the parabrachial nucleus, as a nexus linking arousal state control and breathing, is a promising target for developing treatments for sleep apnea. Therapies that act upon the hypothalamic circuitry underlying the circadian regulation of aggression or the photic regulation of arousal and mood pathway carry enormous potential for helping to reduce the socioeconomic burden of neuropsychiatric and neurodegenerative disorders on society. Intriguingly, the development of chemogenetics as a therapeutic strategy is now well underway and such an approach has the capacity to lead to more focused and less invasive therapies for treating sleep-wake disorders and related comorbidities.

Cardiovascular Disease in Women Across the Lifespan: The Importance of Sleep

Cardiovascular disease (CVD) and sleep disturbances are both common and associated with significant morbidity and mortality. Compared with men, women are more likely to report insufficient sleep. During the 2018 Research Conference on Sleep and the Health of Women sponsored by the National Heart, Lung, and Blood Institute, researchers in cardiology, integrative physiology and sleep medicine reviewed the current understanding of how sleep and sleep disturbances influence CVD in women across the lifespan. Women may be particularly vulnerable to the negative effects of sleep disturbances at important stages of their life, including during pregnancy and after menopause. The proposed pathways linking sleep disturbances and adverse cardiovascular outcomes in women are numerous and the complex interaction between them is not well understood. Future research focused on understanding the scope of sleep disorders in women, defining the underlying mechanisms, and testing interventions to improve sleep are critical for improving the cardiovascular health of all women.

The Effects of Obstructive Sleep Apnea on Risk factors for Cardiovascular diseases

INTRODUCTION

Obstructive sleep apnea (OSA) is known to cause variety of cardiovascular diseases.

OBJECTIVE

The aim of this study was to examine the correlation between polysomnography (PSG) and risks factor for coronary heart disease in patients suspected to have OSA.

METHODS

A total of 108 consecutive adult habitual snorers underwent PSG. We assessed patients using the respiratory disturbance index (RDI), the Epworth sleepiness scale (ESS), body mass index (BMI), fasting serum total cholesterol, triglycerides (TGs), and C-reactive protein (CRP).

RESULTS

Mean RDI scores were 0.53, 10.6, 27.3, and 45.1 in the control group (n = 21), mild (n = 29), moderate (n = 31), and severe (n = 27), respectively. Partial correlation analysis showed that patients' RDI score was significantly correlated with CRP after adjustment for BMI. Partial correlation analysis showed that the mean ESS score correlated significantly with the CRP level after adjustment for BMI. Partial correlation analysis showed that the mean least oxygen saturation was significantly correlated with CRP after adjustment for BMI Pearson's correlation coefficients examining the relationship between BMI and total cholesterol; TG and CRP were found to be 0.531, 0.401, and 0.321. The correlation of CRP levels with disease severity as assessed by RDI, ESS, and least oxygen saturation was significant after adjustment for BMI.

CONCLUSIONS

Patients with OSA have elevated serum levels of high-sensitivity-CRP, a marker for inflammation and an independent risk predictor for cardiovascular morbidity.

Sleep Quality and Blood Lipid Composition Among Patients with Diabetes

BACKGROUND

Recent literature has mentioned that people with sleep disorder, experience insulin sensitivity reduction and accordingly higher levels of blood glucose.

OBJECTIVES

This study aimed to investigate the relationship between sleep quality and blood lipid composition in patients with diabetes referring to Minoodar health center in Qazvin, Iran in 2017.

METHODS

Sleep duration and quality were assessed in 347 patients with diabetes using the Pittsburgh sleep quality index (PSQI). The glycosylated hemoglobin A1c (HbA1c) test was used to measure the glycemic control and total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), triglycerides (TG), and high-density lipoprotein cholesterol (HDL-C) were used to determine blood lipid composition of the patients. Multiple regression analyses were applied to examine the associations between sleep measures and HbA1c and lipid parameters using SPSS version 20.

RESULTS

The patients in the poor sleep quality group had higher levels of fasting blood sugar (FBS) (146.07 ± 57.06 versus 132.8 ± 53.3 mg/dL, P = 0.02), body mass index (BMI) (29.1 ± 3.9 versus 27.6 ± 4.2 kg/m², P = 0.005) and total cholesterol (209.9 ± 53.4 versus 193.4 ± 45.8, P = 0.02). Furthermore, the patients with short sleep duration had higher total cholesterol level compared with long sleep and medium sleep duration group (202.3 ± 50.2 versus 196.6 ± 47.7 and 195.7 ± 47.4, respectively, P = 0.05). Among different PSQI measures, subjective sleep quality was associated with lower TC and TG in unadjusted models (β = -0.0.1, P = 0.05). Furthermore, greater sleep disturbance was positively linked with higher levels of TC and TG (β = 0.1, P = 0.01 and β = 0.02, P = 0.05).

CONCLUSIONS

In an Iranian population with diabetes living in Qazvin city, sleep disorder is common and as study findings revealed sleep quality was recognized as an influencing factor on some of the lipid profiles, including TC and TG. Thus sleep assessment of patients with type 2 diabetes to find the early recognition of their sleep disorder should be considered an important part of the patients' treatment.

Neural Circuitry Underlying Waking Up to Hypercapnia

Obstructive sleep apnea is a sleep and breathing disorder, in which, patients suffer from cycles of atonia of airway dilator muscles during sleep, resulting in airway collapse, followed by brief arousals that help re-establish the airway patency. These repetitive arousals which can occur hundreds of times during the course of a night are the cause of the sleep-disruption, which in turn causes cognitive impairment as well as cardiovascular and metabolic morbidities. To prevent this potential outcome, it is important to target preventing the arousal from sleep while preserving or augmenting the increase in respiratory drive that reinitiates breathing, but will require understanding of the neural circuits that regulate the cortical and respiratory responses to apnea. The parabrachial nucleus (PB) is located in rostral pons. It receives chemosensory information from medullary nuclei that sense increase in CO2 (hypercapnia), decrease in O2 (hypoxia) and mechanosensory inputs from airway negative pressure during apneas. The PB area also exerts powerful control over cortical arousal and respiration, and therefore, is an excellent candidate for mediating the EEG arousal and restoration of the airway during sleep apneas. Using various genetic tools, we dissected the neuronal sub-types responsible for relaying the stimulus for cortical arousal to forebrain arousal circuits. The present review will focus on the circuitries that regulate waking-up from sleep in response to hypercapnia.

The Relationship Between Childhood Trauma and Poor Sleep Health in Adulthood

OBJECTIVE

Childhood trauma has been related to adverse behavioral, mental, and health outcomes later in life. Sleep may be a potential mechanism through which childhood trauma is related to adverse health. The current retrospective study aimed to characterize the relationship between childhood trauma exposure and sleep health, a novel multidimensional measure of sleep.

METHODS

Participants (N = 161; mean [standard deviation] age = 59.85 [9.06] years; 67.7% female) retrospectively reported trauma exposure using the Trauma History Questionnaire. Childhood trauma was defined as the number of reported traumatic events before 18 years of age. Trauma exposure after 18 years of age and across the life-span was also recorded. Sleep health was derived both from diary- and actigraphy-assessed measures of sleep regularity, timing, efficiency, and duration, subjective sleep satisfaction, and daytime sleepiness from the Epworth Sleepiness Scale. The relationships between childhood trauma exposure and sleep health were examined using hierarchical linear regression, controlling for relevant covariates.

RESULTS

In unadjusted models, a greater number of childhood trauma exposures were associated with poorer diary- and actigraphy-measured sleep health in adulthood. After adjustment for current stress, depression history, and other sociodemographic covariates, greater childhood trauma remained significantly associated with poorer sleep health (diary: β = -0.20, ΔR = 0.032; actigraphy: β = -0.19, ΔR = 0.027). Trauma exposure after 18 years of age and across the life-span did not relate to diary- or actigraphy-based sleep health.

CONCLUSIONS

Childhood trauma may affect sleep health in adulthood. These findings align with the growing body of evidence linking childhood trauma to adverse health outcomes later in life.

Sleepiness Score-Specific Outcomes of a Novel Tongue Repositioning Procedure for the Treatment of Continuous Positive Airway Pressure-Resistant Obstructive Sleep Apnea

Background:

The gold standard of treatment for obstructive sleep apnea (OSA) is continuous positive airway pressure (CPAP). However, more than a third of patients have such difficulty with its chronic use such that they seek other options or choose to remain untreated. We evaluated sleepiness score-specific outcomes and the use of CPAP after tongue repositioning surgery for the treatment of OSA.

Patients and Methods:

A self-administered questionnaire was completed pre- and postoperatively by 10 patients who underwent tongue repositioning surgery for the treatment of OSA from October 2010 to December 2012. The questionnaire included the Epworth Sleepiness Scale (ESS) for the assessment of daytime somnolence and questions regarding CPAP use and overall satisfaction.

Results:

Preoperatively, 6 patients were “very sleepy” (ESS ≥16), 4 patients were “sleepy” (ESS = 10–16), and 0 patients were “not sleepy” (ESS ≤10). 30 days postoperatively, sleepiness scores decreased (10 patients were “not sleepy” (ESS ≤10) with 0 patients “very sleepy” or “sleepy;” P = 0.002). Thus, the median ESS score for the “very sleepy” and “sleepy,” decreased from 20 to 4 and 13 to 5, respectively, and the “nonsleepy” group increased from 0 to 4. After a 180-day review, the improved ESS scores remained unchanged (the median for “very sleepy” decreased to 3.5 that for “sleepy” remained at 5, and the median for “not sleepy” decreased to 3.5). Surgery decreased CPAP use by 100%. The surgery was judged to be worthwhile by all 10 of patients using a questionnaire, and all 10 patients said that they would recommend the treatment to other patients with OSA.

Conclusions:

These preliminary data indicate that tongue-repositioning surgery for the treatment of OSA may be effective in improving excessive daytime sleepiness. These proof-of-concept data require confirmation in an appropriately powered controlled study.

Effects of continuous positive airway pressure on elderly patients with obstructive sleep apnea: a meta-analysis

OBJECTIVE

the aim of the study was to evaluate the efficacy of continuous positive airway pressure (CPAP) for the treatment of obstructive sleep apnea in the elderly.

METHOD

a comprehensive search for qualified clinical trials was performed on April, 2016. Basic demographic information of enrolled subjects, study design, survival rate, cardiovascular events, quality of life scores, and neurocognitive data were extracted for analysis.

RESULTS

A total of seven clinical trials were included in this meta-analysis, in which untreated elderly patients exhibited worse survival rate than those with CPAP (OR=2.22, 95% CI=1.64 to 3.01, P< 0.00001). Treated elderly patients exhibited less cardiovascular risk than those without CPAP (RR=0.49, 95% CI=0.36 to 0.66, P<0.00001) and a statistically significant improvement on all the domains of Quebec Sleepiness Questionnaire, supported by pooled weighted mean difference. Furthermore, CPAP treatment partially improved the cognitive functions.

CONCLUSION

CPAP treatment achieves improvements in decreasing mortality and controlling cardiovascular events and exhibits few effects on neurocognitive function. Further large-scale, well-designed interventional investigation is needed.

Sleep characteristics that predict atrial fibrillation

BACKGROUND

The relationship between sleep disruption, independent of obstructive sleep apnea (OSA), and atrial fibrillation (AF) is unknown.

OBJECTIVE

The purpose of this study was to determine whether poor sleep itself is a risk factor for AF.

METHODS

We first performed an analysis of participants in the Health eHeart Study and validated those findings in the longitudinal Cardiovascular Health Study, including a subset of patients undergoing polysomnography. To determine whether the observed relationships readily translated to medical practice, we examined 2005-2009 data from the California Healthcare Cost and Utilization Project.

RESULTS

Among 4553 Health eHeart participants, the 526 with AF exhibited more frequent nighttime awakening (odd ratio [OR] 1.47; 95% confidence interval [CI] 1.14-1.89; P = .003). In 5703 Cardiovascular Health Study participants followed for a median 11.6 years, frequent nighttime awakening predicted a 33% greater risk of AF (hazard ratio [HR] 1.33; 95% CI 1.17-1.51; P <.001). In patients with polysomnography (N = 1127), every standard deviation percentage decrease in rapid eye movement (REM) sleep was associated with a 18% higher risk of developing AF (HR 1.18; 95% CI 1.00-1.38; P = .047). Among 14,330,651 California residents followed for a median 3.9 years, an insomnia diagnosis predicted a 36% increased risk of new AF (HR 1.36; 95% CI 1.30-1.42; P <.001).

CONCLUSION

Sleep disruption consistently predicted AF before and after adjustment for OSA and other potential confounders across several different populations. Sleep quality itself may be important in the pathogenesis of AF, potentially representing a novel target for prevention.

Latent profiles of early trauma & Type D personality: sex differences in cardiovascular risk markers

BACKGROUND

Both adverse early life-events and distressed personality are associated with an increased cardiovascular risk. As there is an important link between these psychological factors, we investigated how these might cluster in sex-specific psychological profiles. We further examined the association of these profiles with cardiovascular risk markers.

METHOD

446 women (mean age = 49.8 ± 17.9 years) and 431 men (mean age = 49.4 ± 17.5 years) from the Dutch general population completed questionnaires on demographics, adverse early life-events (ETI), Type D personality (DS14), anxiety (GAD-7) and depressive (PHQ-9) symptoms, and traditional cardiovascular risk markers.

RESULTS

A step-3 latent profile analysis identified three profiles in women (Reference, Type D & trauma, and Type D/no trauma) and four in men (Reference, Type D & trauma, Type D/no trauma, and Physical abuse). In women, the Type D/no trauma was associated with highest levels of emotional symptoms (OR = 2.47; 95% CI: 2.11-2.89), lipid abnormalities (OR = 3.69; 95% CI: 1.47-9.27), and increased levels of alcohol use (OR = 3.63; 95% CI: 1.42-9.30). The Type D & trauma profile was associated with increased levels of emotional symptoms (OR = 2.03; 95% CI: 1.70-2.42), highest levels of smoking (OR = 3.30; 95% CI: 1.21-8.97) and alcohol use (OR = 7.63; 95% CI: 2.86-20.33). Women in both profiles were older as compared to the Reference group (OR = 1.03; 95% CI: 1.01-1.05). In men, the Type D & trauma profile was associated with increased levels of emotional symptoms (OR = 1.11; 95% CI: 1.03-1.20). There were no significant differences between the profiles in lifestyle factors and cardiometabolic factors.

CONCLUSIONS

In women, the Type D/no trauma profile and the Type D & trauma profile were associated with a specific combination of cardiovascular risk markers. In men, the Type D & trauma profile was associated with an increased level of emotional symptoms.