scholarly journals Sleep, death, and the heart

2015 ◽  
Vol 309 (5) ◽  
pp. H739-H749 ◽  
Author(s):  
Meghna P. Mansukhani ◽  
Shihan Wang ◽  
Virend K. Somers

Obstructive and central sleep apnea have been associated with increased risk of adverse cardiovascular events and mortality. Sympathetic dysregulation occurring as a result of the respiratory disturbance is thought to play a role in this increased risk. Sleep apnea increases the risk of arrhythmias, myocardial ischemia/infarction, stroke, and heart failure, all of which may increase mortality risk. A higher incidence of nocturnal arrhythmias, cardiac ischemia, and sudden death has been noted in subjects with sleep-disordered breathing (SDB). In this review, the association between SDB and each of these conditions is discussed, as well as the potential mechanisms underlying these risks and the effects of treatment of SDB. Particular emphasis is placed on the relationship between SDB and nocturnal atrial and ventricular arrhythmias, myocardial ischemia/infarction and sudden death.

2017 ◽  
Vol 13 (3) ◽  
pp. 183 ◽  
Author(s):  
Mellar P. Davis, MD, FCCP, FAAHPM ◽  
Bertrand Behm, MD ◽  
Diwakar Balachandran, MD

Opioids adversely influence respiration in five distinct ways. Opioids reduce the respiratory rate, tidal volume, amplitude, reflex responses to hypercapnia and hypoxia, and arousability related necessary for respiratory adaptive responses. Opioids cause impairment of upper pharyngeal dilator muscles leading to obstructive apnea. Opioids cause complex sleep disordered breathing (SDB) consisting of central sleep apnea and obstructive sleep apnea. Clinically opioids worsen preexisting SDB. Recent studies have shown increased morbidity and mortality in patients receiving opioids for chronic noncancer pain and chronic obstructive pulmonary disease, which appear to be related to cardiovascular events, not overdose. Both patient populations are at risk for sleep disordered breathing and increased risk for adverse cardiovascular events on opioids for dyspnea or pain. This review discusses the influence of opioids on respiration and SDB and will review the adverse respiratory and cardiovascular effects of opioid use in at risk populations. Recommendations regarding management will follow as a summary.


SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A322-A323
Author(s):  
Rahul Dasgupta ◽  
Sonja Schütz ◽  
Tiffany Braley

Abstract Introduction Sleep-disordered breathing is common in persons with multiple sclerosis (PwMS), and may contribute to debilitating fatigue and other chronic MS symptoms. The majority of research to date on SDB in MS has focused on the prevalence and consequences of obstructive sleep apnea; however, PwMS may also be at increased risk for central sleep apnea (CSA), and the utility of methods to assess CSA in PwMS warrant further exploration. We present a patient with secondary progressive multiple sclerosis who was found to have severe central sleep apnea on WatchPAT testing. Report of case(s) A 61 year-old female with a past medical history of secondary progressive multiple sclerosis presented with complaints of fragmented sleep. MRI of the brain, cervical spine, and thoracic spine showed numerous demyelinating lesions in the brain, brainstem, cervical, and thoracic spinal cord. Upon presentation, the patient noted snoring, witnessed apneas, and daytime sleepiness. WatchPAT demonstrated severe sleep apnea, with a pAHI of 63.3, and a minimum oxygen saturation of 90%. The majority of the scored events were non-obstructive in nature (73.1% of all scored events), and occurred intermittently in a periodic fashion. Conclusion The differential diagnosis of fatigue in PwMS should include sleep-disordered breathing, including both obstructive and central forms of sleep apnea. Demyelinating lesions in the brainstem (which may contribute to impairment of motor and sensory networks that control airway patency and respiratory drive), and progressive forms of MS, have been linked to both OSA and CSA. The present data illustrate this relationship in a person with progressive MS, and offer support for the WatchPAT as a cost-effective means to evaluate for both OSA and CSA in PwMS, while reducing patient burden. PwMS may be at increased risk for CSA. Careful clinical consideration should be given to ordering appropriate sleep testing to differentiate central from obstructive sleep apnea in PwMS, particularly for patients with demyelinating lesions in the brainstem. Support (if any) 1. Braley TJ, Segal BM, Chervin RD. Obstructive sleep apnea and fatigue in patients with multiple sclerosis. J Clin Sleep Med. 2014 Feb 15;10(2):155–62. doi: 10.5664/jcsm.3442. PMID: 24532998; PMCID: PMC3899317.


Life ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 368
Author(s):  
Leeba Rezaie ◽  
Soroush Maazinezhad ◽  
Donald J. Fogelberg ◽  
Habibolah Khazaie ◽  
Dena Sadeghi-Bahmani ◽  
...  

Objective: Individuals with obstructive sleep apnea (OSA) are at increased risk to suffer from further somatic and sleep-related complaints. To assess OSA, demographic, anthropometric, and subjective/objective sleep parameters are taken into consideration, but often separately. Here, we entered demographic, anthropometric, subjective, and objective sleep- and breathing-related dimensions in one model. Methods: We reviewed the demographic, anthropometric, subjective and objective sleep- and breathing-related data, and polysomnographic records of 251 individuals with diagnosed OSA. OSA was considered as a continuous and as categorical variable (mild, moderate, and severe OSA). A series of correlational computations, X2-tests, F-tests, and a multiple regression model were performed to investigate which demographic, anthropometric, and subjective and objective sleep dimensions were associated with and predicted dimensions of OSA. Results: Higher apnea/hypopnea index (AHI) scores were associated with higher BMI, higher daytime sleepiness, a higher respiratory disturbance index, and higher snoring. Compared to individuals with mild to moderate OSA, individuals with severe OSA had a higher BMI, a higher respiratory disturbance index (RDI) and a higher snoring index, while subjective sleep quality and daytime sleepiness did not differ. Results from the multiple regression analysis showed that an objectively shorter sleep duration, more N2 sleep, and a higher RDI predicted AHI scores. Conclusion: The pattern of results suggests that blending demographic, anthropometric, and subjective/objective sleep- and breathing-related data enabled more effective discrimination of individuals at higher risk for OSA. The results are of practical and clinical importance: demographic, anthropometric, and breathing-related issues derived from self-rating scales provide a quick and reliable identification of individuals at risk of OSA; objective assessments provide further certainty and reliability.


Stroke ◽  
2015 ◽  
Vol 46 (suppl_1) ◽  
Author(s):  
Ada Tang ◽  
Daria Shkredova ◽  
Derek W Stouth ◽  
Maureen J MacDonald ◽  
Jennifer J Heisz

Introduction: Silent cerebrovascular infarcts resulting from vascular disease can manifest as a decline in cognitive function. These silent events are also associated with increased risk of clinically overt stroke. Arterial stiffness is a marker that represents atherosclerotic progression and is a predictor of cardiovascular events and mortality. This study examined the relationship between arterial stiffness and cognitive impairment between adults aged 50-80 years old with and without stroke. Hypothesis: We hypothesized that elevated arterial stiffness would be observed in individuals with stroke, and also be associated with increased cognitive impairment across all participants. Methods: Cognition was assessed using the Montreal Cognitive Assessment (MoCA). Arterial stiffness was quantified using carotid-femoral pulse wave velocity (cfPWV, in m/s), calculated as cfPWV=D/Δt, where D was the distance measured between arterial sites and Δt was the pulse transit time. Higher values represent increased stiffness, and values >10 m/s are associated with increased risk for cardiovascular events. Results: Twenty-five participants were assessed: 11 participants 4.7±2.4 years post-stroke and 14 older adults without stroke. The non-stroke group was older (73.1±3.9 vs. 65.2±9.4 years, P=0.009), while the stroke group had lower MoCA scores (21.2±3.2 vs. 24.4±2.8, P=0.01). There were no between-group differences in cfPWV (stroke 9.4 m/s vs. older adults 9.9 m/s, P=0.49), when controlling for age and MoCA scores. In backward regression analysis, age explained 21% of the variance of cfPWV (P=0.03), while MoCA was not a contributor. Conclusions: In conclusion, these results suggest that age is a significant correlate of arterial stiffness, regardless of the presence of stroke or cognitive impairment. Ongoing work will examine whether stroke history also contributes to arterial stiffness when groups are matched for age.


2020 ◽  
Author(s):  
Emily S. Heilbrunn ◽  
Paddy Ssentongo ◽  
Vernon M. Chinchilli ◽  
Anna E. Ssentongo

AbstractBackgroundOver 1 billion individuals across the globe experience some form of sleep apnea, and this number is steadily rising. Obstructive sleep apnea (OSA) can negatively influence one’s quality of life and potentially increase the risk of mortality. However, this association between OSA and mortality has not been comprehensively and thoroughly explored. This meta-analysis was conducted to conclusively estimate the risk of death for all-cause mortality and cardiovascular mortality in OSA patients.Study Design4,613 articles from databases including PUBMED, OVID & Joana Briggs, and SCOPUS were comprehensively assessed by two reviewers (AES & ESH) for inclusion criteria. 28 total articles were included, with 22 of them being used for quantitative analysis. Pooled effects of all-cause mortality, cardiac mortality, and sudden death were calculated by utilizing the metaprop function in R Statistical Software and the random-effects model with appropriate 95% confidence intervals.ResultsAnalysis on 42,032 individuals revealed that those with OSA were twice as likely to die from cardiac mortality compared to those without sleep apnea (HR= 1.94, 95%CI 1.39-2.70). Likewise, individuals with OSA were 1.7 times as likely to die from all-cause sudden death compared to individuals without sleep apnea (HR= 1.74, 95%CI 1.40-2.10). There was a significant dose response relationship between severity of sleep apnea and incidence risk of death, where those with severe sleep apnea wereConclusionsIndividuals with obstructive sleep apnea are at an increased risk for all-cause mortality and cardiac mortality. Further research related to appropriate interventions and treatments are necessary in order to reduce this risk and optimize survival in this population.Key MessagesWhat is the key question?Are individuals with sleep apnea at an increased risk for cardiovascular mortality and sudden death?What is the bottom Line?Sleep apnea is associated with an increased risk of cardiovascular mortality and sudden death, with a dose response relationship, where those with severe sleep apnea are at the highest risk of mortality.Why read on?This is the first systematic review and meta-analyses to synthesize and quantify the risk of mortality in those with sleep apnea, highlighting important directions for future research.Prospero Registration IDCRD42020164941


SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A172-A173
Author(s):  
J Thybo ◽  
A N Olesen ◽  
M Olsen ◽  
E Leary ◽  
P Arnal ◽  
...  

Abstract Introduction Evaluation of sleep apnea involves manual annotation of Polysomnography (PSG) file, a time-consuming process subject to interscorer variations. The DOSED algorithm has been shown to be helpful in detecting Central Sleep Apnea (CSA), Obstructive Sleep Apnea (OSA), and Hypopnea when merged into a single event type. This work uses a modified version of DOSED capable of detecting each event type separately. Methods The network consists of 3 blocks of 1D convolutional layers followed by 6 blocks of 2D convolutional layers. The network has 2 classification layers, one determines the probability of each class, and the other determines the start and duration time of the event with the highest probability. Four channels from nasal and mouth airflow and position of abdomen and thorax are used as input to the model. The model was trained using 2800 PSG from 4 different cohorts (MESA, MROS, SSC, WSC) and tested on 70 PSG, which have been scored by six technicians (Stanford, U Penn, St Louis). Results On an event by event basis, model F1-scores versus a weighted consensus score based on 6 technicians were 0.60 for OSA, 0.43 for CSA, and 0.34 for Hypopnea. Average F1-scores for the 6 technicians were 0.48 (std 0.04) for OSA, 0.29 (std 0.145) for CSA, and 0.54 (std 0.183) for Hypopnea, indicating that the model functions better on an event-by-event basis than an average technician. Correlations between indices/hr for central apnea, obstructive apnea, and hypopnea indicate excellent correlations for apneas, but poor correlation for hypopnea. We are now adding the snoring channel to explore if predictions can be improved. Conclusion The result shows that deep learning-based models can detect respiratory events with an accuracy similar to technicians. The poor agreement between technicians from different universities indicates that we need better definitions of hypopnea. Support  


Circulation ◽  
2000 ◽  
Vol 101 (1) ◽  
pp. 40-46 ◽  
Author(s):  
John R. Teerlink ◽  
Muhammad Jalaluddin ◽  
Susan Anderson ◽  
Marrick L. Kukin ◽  
Eric J. Eichhorn ◽  
...  

2009 ◽  
Vol 94 (1) ◽  
pp. 109-114 ◽  
Author(s):  
Kai-Hang Yiu ◽  
Man-Hong Jim ◽  
Chung-Wah Siu ◽  
Chi-Ho Lee ◽  
Michele Yuen ◽  
...  

Abstract Background: Amiodarone-induced thyrotoxicosis (AIT) is a clinical condition that is notoriously difficult to manage; the relative risk of adverse cardiovascular events in these patients compared with euthyroid patients is largely unknown. Objective: We compared the clinical characteristics and major adverse cardiovascular events (MACE) in AIT and euthyroid patients. Method: Patients at a tertiary referral center who had been prescribed amiodarone for at least 3 months were retrospectively analyzed. Baseline clinical characteristics, laboratory parameters, and outcome events were evaluated. MACE was defined as cardiovascular mortality, myocardial infarction, stroke and heart failure, or ventricular arrhythmias that required hospitalization. Results: A total of 354 patients (61.8 ± 14.1 yr; 64.7% male) with a mean follow-up of 48.6 ± 26.7 months were studied. AIT, euthyroid status, and amiodarone-induced hypothyroidism were identified in 57 (16.1%), 224 (63.3%), and 73 (20.6%) patients, respectively. No differences in baseline clinical characteristics were observed between AIT and euthyroid patients. Nonetheless AIT patients demonstrated a higher MACE rate (31.6 vs. 10.7%, P < 0.01), mostly driven by a higher rate of ventricular arrhythmias that required admission (7.0 vs. 1.3%, P = 0.03). Cox-regression multivariate analysis revealed that AIT (hazard ratio 2.68; confidence interval 1.53–4.68; P < 0.01) and left ventricular ejection fraction less than 45% (hazard ratio 2.52; confidence interval 1.43–4.42; P < 0.01) were independent predictors of MACE. Conclusion: In patients prescribed long-term amiodarone therapy, occurrence of AIT is associated with a 2.7-fold increased risk of MACE. Regular and close biochemical surveillance is thus advisable to identify and treat this high-risk group of patients.


Sign in / Sign up

Export Citation Format

Share Document