scholarly journals Prevalence of sleep-disordered breathing after stroke and TIA

Neurology ◽  
2019 ◽  
Vol 92 (7) ◽  
pp. e648-e654 ◽  
Author(s):  
Andrea Seiler ◽  
Millene Camilo ◽  
Lyudmila Korostovtseva ◽  
Alan G. Haynes ◽  
Anne-Kathrin Brill ◽  
...  

ObjectiveTo perform a systematic review and meta-analysis on the prevalence of sleep-disordered breathing (SDB) after stroke.MethodsWe searched PubMed, Embase (Ovid), the Cochrane Library, and CINAHL (from their commencements to April 7, 2017) for clinical studies reporting prevalence and/or severity of SDB after stroke or TIA. Only sleep apnea tests performed with full polysomnography and diagnostic devices of the American Academy of Sleep Medicine categories I–IV were included. We conducted random-effects meta-analysis. PROSPERO registration number: CRD42017072339.ResultsThe initial search identified 5,211 publications. Eighty-nine studies (including 7,096 patients) met inclusion criteria. Fifty-four studies were performed in the acute phase after stroke (after less than 1 month), 23 studies in the subacute phase (after 1–3 months), and 12 studies in the chronic phase (after more than 3 months). Mean apnea-hypopnea index was 26.0/h (SD 21.7–31.2). Prevalence of SDB with apnea-hypopnea index greater than 5/h and greater than 30/h was found in 71% (95% confidence interval 66.6%–74.8%) and 30% (95% confidence interval 24.4%–35.5%) of patients, respectively. Severity and prevalence of SDB were similar in all examined phases after stroke, irrespective of the type of sleep apnea test performed. Heterogeneity between studies (I2) was mostly high.ConclusionThe high prevalence of SDB after stroke and TIA, which persists over time, is important in light of recent studies reporting the (1) feasibility and (2) efficacy of SDB treatment in this clinical setting.

2021 ◽  
Author(s):  
Yaodan Zhang ◽  
Jin Tan ◽  
Yuyang Miao ◽  
Qiang Zhang

Objective Previous studies have identified that sleep-disordered breathing is associated with the increased risk of cardiovascular disease. However, CPAP, the preferred treatment of sleep apnea, does not appear to reduce the risk of adverse cardiovascular events and deaths in ischemic heart disease. Our aim was to determine whether OSA can be a prognostic factor for cardiovascular adverse events and deaths in patients with ischemia heart disease. Methods We searched Medline via PubMed, Embase, and the Cochrane Library database for clinical studies reporting the major adverse cardiac outcomes of SDB in patients with myocardial ischemia. Sleep apnea tests is mainly performed with cardiorespiratory polygraphy or portable diagnostic device. Summary hazard ratio(HR) and 95% CIs were conducted using random-effects meta-analysis. Results Eighteen literatures were included, with total participants of 9,138. Sixteen studies reported MACCEs, there was significant association of SDB with MACCES (HR, 1.66[95% CI, 1.41 to 1.94]; P< 0.0001), all-cause mortality (HR, 1.39[95% CI 1.12 to 1.73], P=0.0027) and cardiovascular mortality (HR, 2.12[95% CI 1.23 to 3.65], P=0.007). Subgroup analysis showed that one study was the cause of heterogeneity, while no correlation between SDB and outcomes for sleep apnea severity, follow-up time or whether surgery was performed. Conclusion SDB is associated with adverse cardiac outcomes in patients with ischemic heart disease, suggesting that sleep apnea can be screened for patients with ischemic heart disease, which can be used as a clinically relevant strategy of secondary prevention to reduce the risk of adverse outcomes.


Author(s):  
Jesse K Siegel ◽  
Xiandao Yuan ◽  
Kristen E Wroblewski ◽  
Martha K McClintock ◽  
Jayant M Pinto

Abstract Background Sleep-disordered breathing (SDB) is a common, underdiagnosed condition in older adults with major health consequences, including disrupted central nervous system functioning. Whether SDB may affect sensory function is unclear. We sought to address this question by comparing 2 forms of olfactory testing which measure peripheral and central olfactory processing. Methods We assessed SDB (survey-reported snoring frequency, nighttime apneic events, or diagnosis of sleep apnea) in the National Social Life, Health, and Aging Project, a nationally representative sample of older U.S. adults. Odor sensitivity (peripheral) and odor identification (central) were assessed with validated instruments. Logistic regression was used to test the relationship between SDB and olfaction, accounting for relevant covariates, including demographics, cognition, and comorbidity. Results Twenty-nine percent of older U.S. adults reported symptoms of SDB (apneic events or nightly snoring). Of these, only 32% had been diagnosed with sleep apnea. Older adults with SDB (those who reported symptoms or have been diagnosed with sleep apnea) were significantly more likely to have impaired odor identification (odds ratio 2.13, 95% confidence interval 1.19–3.83, p = .012) in analyses that accounted for age, gender, race/ethnicity, education, cognition, comorbidities (including depression), and body mass index. Presence of SDB was not associated with impaired odor sensitivity (odds ratio 1.03, 95% confidence interval 0.75–1.43, p = .84). Conclusion SDB is highly prevalent but underdiagnosed in older U.S. adults and is associated with impaired odor identification but not odor sensitivity. These data support the concept that SDB affects pathways in the central nervous system which involve chemosensory processing.


Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Michelle A Miller ◽  
Ponnusamy Saravanan ◽  
Manu Vatish ◽  
Francesco P Cappuccio

Introduction and objectives: Physiological and hormonal changes occurring in pregnancy increase the risk of sleep disordered breathing (SDB), which, along with short sleep (SS) duration, may be associated with an increased risk of gestational diabetes mellitus (GDM). Exposure to GDM in the mother increases her lifetime risk of type-2 diabetes (T2D) as well as the risk of obesity, metabolic syndrome and, in later life, T2D of her children. The aim of this study was to systematically review the collective published evidence of associations between snoring/sleep-disordered breathing or sleep duration and increased risk of GDM. Hypothesis: We assessed the hypotheses that sleep disturbances, and/or short sleep during pregnancy may be associated with an increased risk of GDM. Materials and Methods: We performed systematic searches using MEDLINE, EMBASE, the Cochrane library and PsycINFO to assess the effect of snoring/sleep disordered breathing (SDB) or short sleep (SS) on the development of gestational diabetes (GDM) and impaired glucose tolerance in pregnancy. Prospective studies with measures of sleep disturbances at baseline and outcome measures of GDM or levels of glucose 1hr post GCT were included in a meta-analysis. We extracted odds ratios (OR) or relative risks (RR) and 95% confidence intervals (CI) and pooled them using a random effect model. Results: Overall, 7 studies met the inclusion criteria. They included 4,292 participants with 311 cases of GDM. In the pooled analysis, snoring/SDB and SS were both associated with a greater risk of GDM (RR: 2·27; 95% CI 1·65 to 3·12; P < 0· 00001) and (3·19 [1·56 to 6·54]; P < 0·002), respectively. There was no evidence of heterogeneity but there was evidence of publication bias and not all studies adjusted for obesity. Sensitivity analyses did not influence the pooled risk estimates. Conclusions: In conclusion, sleep disturbances may represent a risk factor for the development of GDM. Further studies are required to address the issues of publication bias and potential confounding, and to extend these observations to high-risk groups like women of ethnic minority groups whose risk of GDM is the greatest. Prevention, detection and treatment strategies need to be explored.


2014 ◽  
Vol 120 (2) ◽  
pp. 287-298 ◽  
Author(s):  
Frances Chung ◽  
Pu Liao ◽  
Balaji Yegneswaran ◽  
Colin M. Shapiro ◽  
Weimin Kang

Abstract Background: Anesthetics, analgesics, and surgery may profoundly affect sleep architecture and aggravate sleep-related breathing disturbances. The authors hypothesized that patients with preoperative polysomnographic evidence of obstructive sleep apnea (OSA) would experience greater changes in these parameters than patients without OSA. Methods: After obtaining approvals from the Institutional Review Boards, consented patients underwent portable polysomnography preoperatively and on postoperative nights (N) 1, 3, 5, and 7 at home or in hospital. The primary and secondary outcome measurements were polysomnographic parameters of sleep-disordered breathing and sleep architecture. Results: Of the 58 patients completed the study, 38 patients had OSA (apnea hypopnea index [AHI] &gt;5) with median preoperative AHI of 18 events per hour and 20 non-OSA patients had median preoperative AHI of 2. AHI was increased after surgery in both OSA and non-OSA patients (P &lt; 0.05), with peak increase on postoperative N3 (OSA vs. non-OSA, 29 [14, 57] vs. 8 [2, 18], median [25th, 75th percentile], P &lt; 0.05). Hypopnea index accounted for 72% of the postoperative increase in AHI. The central apnea index was low (median = 0) but was significantly increased on postoperative N1 in only non-OSA patients. Sleep efficiency, rapid eye movement sleep, and slow-wave sleep were decreased on N1 in both groups, with gradual recovery. Conclusions: Postoperatively, sleep architecture was disturbed and AHI was increased in both OSA and non-OSA patients. Although the disturbances in sleep architecture were greatest on postoperative N1, breathing disturbances during sleep were greatest on postoperative N3.


Author(s):  
HF Qashqari ◽  
I Narang ◽  
H Katzberg ◽  
K Vezina ◽  
A Khayat ◽  
...  

Background: Myasthenia Gravis ( MG) is an autoimmune disease that affects the neuromuscular junction. It typically presents with fluctuating muscle weakness which can affect respiratory muscles. Data about the prevalence of sleep disordered breathing in children with MG and the benefits of non-invasive ventilation outside the setting of MG crisis has not been studied so far. Methods: Eleven children between 3 and 18 years old with confirmed MG were recruited from the The Hospital for Sick Children Neuromuscular clinic in a prospective observational study. Informed consent was obtained and patients underwent PFTs, MIP/MEP, SNIP, FVC and standard polysomnography testing’s. Results: In our study, we found that 2/11 children had abnormal Apnea Hypopnea index (AHI) and were diagnosed with obstructive sleep apnea (OSA). One of them has juvenile ocular MG with mild to moderate OSA and the second child has congenital MG with mild OSA. CPAP therapy was initiated for both patients. Conclusions: In our cohort, obstructive sleep apnea rate was significantly higher in children with MG than the known prevalence in general pediatric population ( 18% vs 2-3% ). Early diagnosis and management of OSA can have great impact on children’s health and quality of life. A larger study is needed to validate our findings.


2015 ◽  
Vol 16 (10) ◽  
pp. 1289-1294 ◽  
Author(s):  
Ghanshyam Palamaner Subash Shantha ◽  
Anita Ashok Kumar ◽  
Lawrence J. Cheskin ◽  
Samir Bipin Pancholy

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Rashid Nadeem ◽  
Michael Harvey ◽  
Mukesh Singh ◽  
Ahmed Abdullah Khan ◽  
Mustafa Albustani ◽  
...  

Background. Obstructive sleep apnea (OSA) is associated with coronary artery disease. Intermittent hypoxia associated with OSA increases sympathetic activity and may cause systemic inflammation, which may contribute to atherosclerosis leading to an increase in the size of carotid intima media thickness (CIMT).Methods. PubMed and Cochrane library were reviewed by utilizing different combinations of key words: sleep apnea, carotid disease, intima media thickness, and carotid atherosclerosis. Inclusion criteria were English articles; studies with adult population with OSA and without OSA; CIMT recorded by ultrasound in mean and standard deviation or median with 95% confidence interval; and OSA defined as apnea hypopnea index of ≥5/h. A total of 95 studies were reviewed for inclusion, with 16 studies being pooled for analysis.Results. Ninety-five studies were reviewed, while 16 studies were pooled for analysis; since some studies have more than one data set, there were 25 data sets with 1415 patients being pooled for meta-analysis. All studies used ultrasound to measure CIMT. CIMT standardized difference in means ranged from −0.883 to 8.01. The pooled standardized difference in means was 1.40 (lower limit 0.996 to upper limit 1.803, (P<0.0001).Conclusion. Patients with OSA appear to have increased CIMT suggestive of an atherosclerotic process.


2020 ◽  
Vol 5 (2) ◽  
pp. 81-88
Author(s):  
Bin Liu ◽  
Yingrui Li ◽  
Jianlin Du ◽  
Qiang She ◽  
Songbai Deng

Objective: Epicardial adipose tissue (EAT) is a potential risk factor for obstructive sleep apnea (OSA). We performed a meta-analysis to assess the association of EAT with OSA.Methods: The PubMed, EMBASE, Web of Science, Cochrane Library, and Wanfang databases were searched by two independent investigators for all observational studies assessing the association of EAT with OSA. Then we assessed the association of EAT thickness (EAT-t) and EAT volume (EAT-v) with OSA by a meta-analysis.Results: Ten studies were included in the final analysis. Compared with that in controls, EAT-t in OSA patients was significantly increased (standardized mean difference 0.88, 95% confidence interval 0.72‐1.05, P=0.000). Furthermore, EAT-t was greater in OSA patients than in controls with similar BMIs. However, we did not find significant differences in EAT-v between OSA patients and controls (standardized mean difference 2.46, 95% confidence interval −0.36 to 5.29, P=0.088). EAT-t in the mild, moderate, and severe OSA subgroups was greater than in the controls. In addition, there were significant differences in EAT-t among the mild, moderate, and severe OSA subgroups.Conclusions: EAT-t was greater in patients with OSA than in controls, and EAT-t was also associated with the severity of OSA. These findings may provide a new clue for the pathogenesis and treatment of OSA.


SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A461-A462
Author(s):  
M Olsen ◽  
H Sorensen ◽  
P Jennum ◽  
E Mignot

Abstract Introduction Wearable, multisensory consumer devices that estimate sleep are prevalent and hold great potential. Most validated actigraphic prediction studies of sleep stages (SS) have only used low resolution (30 sec) data and the Cole-Kripke algorithm. Other algorithms are often proprietary and not accessible or validated. We present an automatic, data-driven deep learning algorithm that process raw actigraphy (ACC) and photoplethysmography (PPG) using a low-cost consumer device at high (25Hz) and low resolution to predict SS and to detect sleep disordered breathing (SDB) events. Methods Our automatic, data-driven algorithm is a deep neural network trained and evaluated to predict SS and SDB events on 236 recordings of ACC data from a wrist-worn accelerometer and PPG data from the overlapping PSG. The network was tested on raw ACC and PPG data, which was collected at 25 Hz using the HUAMI Arc2 wristband from 39 participants that underwent a nocturnal polysomnography (PSG). Results Overall accuracy (Acc), recall (Re), specificity (Sp), and kappa (κ) per subject on the test dataset the prediction of wake, NREM, REM was Acc=76.6%, Re=72.4%, Sp=78.0%, kappa=0.42. On average, we found a 7 % higher performance using the raw sensor data as input instead of processed, low resolution inputs. PPG was especially useful for REM detection. The network assigned 55.6% of patients to the correct SDB severity group when using an apnea-hypopnea index above 15. Conclusion Current results show that SS prediction is significantly improved when using the raw sensor data; it indicates that the system holds promise as a potential pervasive monitoring device for patients with chronic sleep disorders. In contrast the system did not show potential as a sleep apnea screening tool. Additional studies are ongoing to examine the effects of pathology such as sleep apnea and periodic leg movement on SS prediction. Support Technical University of Denmark; University of Copenhagen, Copenhagen Center for Health Technology, Klarman Family Foundation.


2016 ◽  
Vol 11 (1) ◽  
pp. 20-29 ◽  
Author(s):  
Hsin-Ming Liu ◽  
I-Jen Chiang ◽  
Ken N. Kuo ◽  
Cher-Ming Liou ◽  
Chiehfeng Chen

Background: Acetazolamide has been investigated for treating sleep apnea in newcomers ascending to high altitude. This study aimed to assess the effect of acetazolamide on sleep apnea at high altitude, determine the optimal therapeutic dose, and compare its effectiveness in healthy trekkers and obstructive sleep apnea (OSA) patients. Methods: PubMed, Embase, Scopus, Cochrane Library, and Airiti Library databases were searched up to July 2015 for randomized controlled trials (RCTs) performed above 2500 m in lowlanders and that used acetazolamide as intervention in sleep studies. Studies including participants with medical conditions other than OSA were excluded. Results: Eight studies of 190 adults were included. In healthy participants, the pooled mean effect sizes of acetazolamide on Apnea–Hypopnea Index (AHI), percentage of periodic breathing time, and nocturnal oxygenation were 34.66 [95% confidence interval (CI) 25.01–44.30] with low heterogeneity ( p = 0.7, I2 = 0%), 38.56% (95% CI 18.92–58.19%) with low heterogeneity ( p = 0.24, I2 = 28%), and 4.75% (95% CI 1.35–8.15%) with high heterogeneity ( p < 0.01, I2 = 87%), respectively. In OSA patients, the pooled mean effect sizes of acetazolamide on AHI and nocturnal oxygenation were 13.18 (95% CI 9.25–17.1) with low heterogeneity ( p = 0.33, I2 = 0%) and 1.85% (95% CI 1.08–2.62%) with low heterogeneity ( P = 0.56, I2 = 0%). Conclusions: Acetazolamide improves sleep apnea at high altitude by decreasing AHI and percentage of periodic breathing time and increasing nocturnal oxygenation. Acetazolamide is more beneficial in healthy participants than in OSA patients, and a 250 mg daily dose may be as effective as higher daily doses for healthy trekkers.


Sign in / Sign up

Export Citation Format

Share Document