Abstract WP357: Prevalence of Pre- and Post-intracerebral Hemorrhage Sleep-disordered Breathing

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Richard V Scheer ◽  
Lynda D Lisabeth ◽  
Chengwei Li ◽  
Erin Case ◽  
Ronald D Chervin ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Intracerebral Hemorrhage ◽  
Mexican American ◽  
Sleep Disordered Breathing ◽  
Population Based ◽  
Apnea Hypopnea Index ◽  
Berlin Questionnaire ◽  
Portable Monitor ◽  
Before And After ◽  
Disordered Breathing

Background: Sleep-disordered breathing (SDB) is an independent risk factor for stroke. The reported prevalence of SDB after stroke ranges from 60 to >70%, while the pre-stroke prevalence of SDB is less well described. Moreover, much of these data are derived from ischemic stroke or mixed ischemic stroke and intracerebral hemorrhage (ICH) cohorts. Studies that assess the prevalence of SDB before and after ICH are lacking, with only one prior study (n=32) that reported a post-ICH SDB prevalence of 78%. We report herein the results of a second, larger, prospective study that assessed the prevalence of pre- and post-ICH. Methods: Participants enrolled in the population-based stroke surveillance study, the Brain Attack Surveillance in Corpus Christi (BASIC) project, with ICH from 2010-2015 were screened for SDB with the well validated ApneaLink Plus portable monitor (SDB defined as apnea-hypopnea index (AHI) ≥10). The Berlin questionnaire was administered, with reference to the pre-ICH state, to assess for possible pre-stroke SDB. Results: Of the 60 ICH participants screened, the median age was 63 years (interquartile range (IQR): 55.5, 74.5). Twenty-one (35%) were female, 54 (90%) were Mexican American, and 53 (88%) had a history of hypertension. The median Glasgow Coma Scale score was 15.0 (IQR: 15.0, 15.0) and the median NIHSS was 5.5 (IQR: 1.5, 8.0). Post-ICH, the median AHI was 9.5 (IQR: 5.5, 19.0); almost half (46.7%) met criteria for SDB. Thirty-four participants (56.7%) screened as high risk for SDB pre-ICH. Conclusion: Sleep-disordered breathing was highly prevalent after ICH, and also likely common before ICH, in this mostly Mexican American, community-based sample. If SDB increases risk for ICH, the findings suggest a potential new treatment target to prevent ICH and recurrent ICH.

scholarly journals Validation of the NoSAS Score for the Screening of Sleep-Disordered Breathing in a Sleep Clinic

2020 ◽  
Vol 2020 ◽  
pp. 1-6 ◽  
Author(s):  
Yi Rong ◽  
Shihan Wang ◽  
Hui Wang ◽  
Feng Wang ◽  
Jingjing Tang ◽  
...  
Keyword(s):  
Predictive Value ◽  
Sleep Disordered Breathing ◽  
Screening Tool ◽  
Characteristic Curve ◽  
Population Based ◽  
Screening Tools ◽  
Apnea Hypopnea Index ◽  
Portable Monitor ◽  
Number Of Patients ◽  
Disordered Breathing

Background. There is a growing number of patients with sleep-disordered breathing (SDB) referred to sleep clinics. Therefore, a simple but useful screening tool is urgent. The NoSAS score, containing only five items, has been developed and validated in population-based studies. Aim. To evaluate the performance of the NoSAS score for the screening of SDB patients from a sleep clinic in China, and to compare the predictive value of the NoSAS score with the STOP-Bang questionnaire. Methods. We enrolled consecutive patients from a sleep clinic who had undergone apnea-hypopnea index (AHI) testing by type III portable monitor device at the hospital and completed the STOP-Bang questionnaire. The NoSAS score was assessed by reviewing medical records. Sensitivity, specificity, positive predictive value, negative predictive value, and area under the receiver operating characteristic curve (AUC) of both screening tools were calculated at different AHI cutoffs to compare the performance of SDB screening. Results. Of the 596 eligible patients (397 males and 199 female), 514 were diagnosed with SDB. When predicting overall (AHI ≥ 5), moderate-to-severe (AHI ≥ 15), and severe (AHI ≥ 30) SDB, the sensitivity and specificity of the NoSAS score were 71.2, 80.4, and 83.1% and 62.4, 49.3, and 40.7%, respectively. At all AHI cutoffs, the AUC ranged from 0.688 to 0.715 for the NoSAS score and from 0.663 to 0.693 for the STOP-Bang questionnaire. The NoSAS score had the largest AUC (0.715, 95% CI: 0.655–0.775) of diagnosing SDB at AHI cutoff of ≥5 events/h. NoSAS performed better in discriminating moderate-to-severe SDB than STOP-Bang with a marginally significantly higher AUC (0.697 vs. 0.663, P=0.046). Conclusion. The NoSAS score had good performance on the discrimination of SDB patients in sleep clinic and can be utilized as an effective screening tool in clinical practice.

Abstract P597: Growing Prevalence of Post-Stroke Sleep-Disordered Breathing

Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Devin L Brown ◽  
River Gibbs ◽  
Xu Shi ◽  
Erin Case ◽  
Ronald Chervin ◽  
...  
Keyword(s):  
Mexican American ◽  
Sleep Disordered Breathing ◽  
Recurrent Stroke ◽  
Population Based ◽  
Cognitive Outcomes ◽  
Berlin Questionnaire ◽  
Post Stroke ◽  
Linear Association ◽  
Respiratory Event ◽  
Disordered Breathing

Introduction: Sleep-disordered breathing (SDB) is common after stroke and is associated with poor functional and cognitive outcomes, and recurrent stroke. Despite increasing prevalence of SDB in the general population, no data are available about trends in post-stroke SDB. We therefore sought to assess changes in post-stroke SDB prevalence over a 10-year period. Methods: Within the Brain Attack Surveillance In Corpus Christi (BASIC) project, a population-based stroke surveillance study in south Texas, participants with acute ischemic stroke were offered assessment of SDB with the ApneaLink Plus device. Medical record abstraction and baseline interviews were conducted and included the Berlin questionnaire to assess SDB status in reference to the prestroke state. SDB testing was performed shortly after stroke presentation (median 12 days (IQR: (6, 21)). Respiratory event index (REI) was calculated as the sum of apneas and hypopneas per hour of overnight recording. SDB was defined as an REI ≥10. SDB assessment procedures remained unchanged throughout (2010-2020). Logistic (SDB) and linear (REI) regression were used to test associations with time (parameterized as years since 2010) adjusted for demographics, and stroke and SDB risk factors including BMI and pre-stroke SDB status. Results: Among the 1,197 participants, median age was 65, 53% were male, and 65% were Mexican American. SDB prevalence was 61% in 2010-2011 and 75% in 2018-2019. Median REI was 19 in 2010-2011 and 23 in 2018-2019. A linear association was identified between time and SDB (REI≥10), with an odds ratio of 1.123 (95% CI: 1.062, 1.187) per year, after adjustment. Similarly, a linear association was identified between time and REI, with an average increase of 0.504 (95% CI: 0.148, 0.860) per year, after adjustment. Based on models with interaction terms added, no differences in time trends were found by sex or ethnicity. Conclusions: Post-stroke SDB prevalence in this population-based sample has increased over the last 10 years. These data highlight the importance of post-stroke SDB and the pressing need to determine whether its treatment improves outcomes.

Abstract P105: Sleep Disordered Breathing and Cardiac Autonomic Modulation in Adolescents - Penn State Child Cohort (PSCC) Study

Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Edward O Bixler ◽  
Fan He ◽  
Sol Rodriguez-Colon ◽  
Julio Fernandez-Mendoza ◽  
Alexandros Vgontzas ◽  
...  
Keyword(s):  
Heart Rate ◽  
Sleep Disordered Breathing ◽  
Population Based ◽  
Apnea Hypopnea Index ◽  
Autonomic Modulation ◽  
Rr Intervals ◽  
Cardiac Autonomic Modulation ◽  
The Mean ◽  
Frequency Power ◽  
Disordered Breathing

Objectives: To investigate the relationship between sleep disordered breathing (SDB) and cardiac autonomic modulation (CAM) in a population-based sample of adolescents. Methods: We used available data from 400 adolescents who completed the follow up examinations in the population-based PSCC study. 1-night polysomnography was used to assess apnea hypopnea index (AHI). AHI was used to define no-SDB (AHI<1), mild SDB (1≤AHI<5), and moderate SDB (AHI≥5). CAM was assessed by heart rate variability (HRV) analysis of beat-to-beat normal R-R intervals from a 39-hour high resolution Holter ECG. The HRV indices in frequency domain [high frequency power (HF), low frequency power (LF), and LF/HF ratio] and time domain [standard deviation of normal RR intervals (SDNN), and the square root of the mean squared difference of successive normal RR intervals (RMSSD), and heart rate (HR)] were calculated on a 30-minute basis (78 repeated measures). Mixed-effects models were used to assess the SDB and HRV relationship. Results: The mean age was 16.9 yrs (SD=2.19), with 54% male and 77% white. The mean (SD) AHI were 0.52 (0.26), 2.38 (1.03), and 12.27 (14.54) for no-, mild-, and moderate-SDB participants. The age, race, sex, and BMI percentile adjusted mean (SE) HRV indices across three SDB groups are presented in Table 1. In summary, sleep disordered breathing was associated with lower HRV and higher HR in this population-based adolescent sample, with a significant dose-response relationship. Conclusion: moderate SDB in adolescents is already associated with lower HRV, indicative of sympathetic activation and lower parasympathetic modulation, which has been associated with cardiac events in adults.

scholarly journals 0890 Sleep Disordered Breathing is Associated With Endothelial Dysfunction and Atherosclerosis in Young Adults: Preliminary Longitudinal Findings in the Penn State Child Cohort

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A339-A339
Author(s):  
J Fernandez-Mendoza ◽  
Z Gao ◽  
K Brandt ◽  
L Houser ◽  
S L Calhoun ◽  
...  
Keyword(s):  
Young Adults ◽  
Endothelial Dysfunction ◽  
Young Adulthood ◽  
Sleep Disordered Breathing ◽  
Population Based ◽  
Apnea Hypopnea Index ◽  
Penn State ◽  
State Child ◽  
Disordered Breathing

Abstract Introduction Sleep disordered breathing (SDB) in middle-age is an established risk factor for cardiovascular disease. However, population-based studies supporting its cardiovascular contribution at earlier stages of development are lacking, particularly with long-term follow-ups. Methods The Penn State Child Cohort is a population-based longitudinal sample of 700 children (8.7±1.7y), of whom 421 were followed-up 8.3 years later during adolescence (17.0±2.3y) with in-lab polysomnography (PSG). To date, 425 have been followed-up another 7.4 years later during young adulthood (24.4±2.6y) via a standardized survey and 136 of them (55.1% female, 21.3% racial/ethnic minority) have undergone a repeat of their PSG to ascertain apnea/hypopnea index. Subjects (n=121) also underwent Doppler ultrasounds to assess flow-mediated dilation (FMD) and carotid intima-media thickness (CIMT). Linear regression models stratified by body mass index in young adulthood. Results SDB was cross-sectionally associated with lower FMD (β=-0.239, p=0.008) and greater CIMT (β=0.330, p&lt;0.001) in young adulthood. Longitudinally, childhood (n=121) and adolescence (n=90) SDB were significantly associated with CIMT (β=0.327, p&lt;0.001 and β=0.286, p=0.006, respectively), but not with FMD (β=-0.158, p=0.08 and β=-0.101, p=0.35, respectively). These associations, particularly longitudinal ones between childhood and adolescence SDB with CIMT in young adulthood, were stronger in overweight than normal weight subjects (e.g., β=0.310, p=0.030 and β =0.089, p=0.582, respectively). Conclusion SDB and obesity appear to be synergistically associated with endothelial dysfunction and atherosclerosis in young adults from the general population. These data suggest that a childhood exposure to chronic SDB is associated with long-term atherosclerosis, while endothelial dysfunction may be a short-term outcome. This ongoing 16-year longitudinal study will test whether the natural history of SDB from childhood through adolescence into young adulthood shows differential trajectories for cardiovascular morbidity. Support National Institutes of Health (R01HL136587, R01HL97165, R01HL63772, UL1TR000127)

Sleep characteristics and cognitive impairment in the general population

Neurology ◽  
2016 ◽  
Vol 88 (5) ◽  
pp. 463-469 ◽  
Author(s):  
José Haba-Rubio ◽  
Helena Marti-Soler ◽  
Nadia Tobback ◽  
Daniela Andries ◽  
Pedro Marques-Vidal ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
General Population ◽  
Sleep Disordered Breathing ◽  
Neuropsychological Test ◽  
Population Based ◽  
Apnea Hypopnea Index ◽  
Clinical Dementia Rating ◽  
Sleep Complaints ◽  
Confounding Variables ◽  
Disordered Breathing

Objective:To assess the association between sleep structure and cognitive impairment in the general population.Methods:Data stemmed from 580 participants aged >65 years of the population-based CoLaus/PsyCoLaus study (Lausanne, Switzerland) who underwent complete sleep evaluation (HypnoLaus). Evaluations included demographic characteristics, personal and treatment history, sleep complaints and habits (using validated questionnaires), and a complete polysomnography at home. Cognitive function was evaluated using a comprehensive neuropsychological test battery and a questionnaire on the participant's everyday activities. Participants with cognitive impairment (global Clinical Dementia Rating [CDR] scale score > 0) were compared with participants with no cognitive impairment (global CDR score = 0).Results:The 291 participants with a CDR score > 0 (72.5 ± 4.6 years), compared to the 289 controls with CDR = 0 (72.1 ± 4.6 years), had significantly more light (stage N1) and less deep (stage N3) and REM sleep, as well as lower sleep efficiency, higher intrasleep wake, and higher sleepiness scores (all p < 0.05). Sleep-disordered breathing was more severe in participants with cognitive impairment with an apnea/hypopnea index (AHI) of 18.0 (7.8–35.5)/h (p50 [p25–p75]) (vs 12.9 [7.2–24.5]/h, p < 0.001), and higher oxygen desaturation index (ODI). In the multivariate analysis after adjustments for confounding variables, the AHI and the ODI ≥4% and ≥6% were independently associated with cognitive impairment.Conclusions:Participants aged >65 years with cognitive impairment have higher sleepiness scores and a more disrupted sleep. This seems to be related to the occurrence of sleep-disordered breathing and the associated intermittent hypoxia.

scholarly journals Robust, ECG-based detection of Sleep-disordered breathing in large population-based cohorts

SLEEP ◽  
2019 ◽  
Vol 43 (5) ◽  
Author(s):  
Mads Olsen ◽  
Emmanuel Mignot ◽  
Poul Jorgen Jennum ◽  
Helge Bjarup Dissing Sorensen
Keyword(s):  
Sleep Disordered Breathing ◽  
Large Population ◽  
Population Based ◽  
Small Sample ◽  
Health Study ◽  
Apnea Hypopnea Index ◽  
Automatic Data ◽  
Highly Correlated ◽  
Ecg Database ◽  
Disordered Breathing

Abstract Study Objectives Up to 5% of adults in Western countries have undiagnosed sleep-disordered breathing (SDB). Studies have shown that electrocardiogram (ECG)-based algorithms can identify SDB and may provide alternative screening. Most studies, however, have limited generalizability as they have been conducted using the apnea-ECG database, a small sample database that lacks complex SDB cases. Methods Here, we developed a fully automatic, data-driven algorithm that classifies apnea and hypopnea events based on the ECG using almost 10 000 polysomnographic sleep recordings from two large population-based samples, the Sleep Heart Health Study (SHHS) and the Multi-Ethnic Study of Atherosclerosis (MESA), which contain subjects with a broad range of sleep and cardiovascular diseases (CVDs) to ensure heterogeneity. Results Performances on average were sensitivity(Se)=68.7%, precision (Pr)=69.1%, score (F1)=66.6% per subject, and accuracy of correctly classifying apnea–hypopnea index (AHI) severity score was Acc=84.9%. Target AHI and predicted AHI were highly correlated (R2 = 0.828) across subjects, indicating validity in predicting SDB severity. Our algorithm proved to be statistically robust between databases, between different periodic leg movement index (PLMI) severity groups, and for subjects with previous CVD incidents. Further, our algorithm achieved the state-of-the-art performance of Se=87.8%, Sp=91.1%, Acc=89.9% using independent comparisons and Se=90.7%, Sp=95.7%, Acc=93.8% using a transfer learning comparison on the apnea-ECG database. Conclusions Our robust and automatic algorithm constitutes a minimally intrusive and inexpensive screening system for the detection of SDB events using the ECG to alleviate the current problems and costs associated with diagnosing SDB cases and to provide a system capable of identifying undiagnosed SDB cases.

Respiratory timing and variability during sleep in children with sleep-disordered breathing

2012 ◽  
Vol 113 (10) ◽  
pp. 1635-1642 ◽  
Author(s):  
Sarah A. Immanuel ◽  
Yvonne Pamula ◽  
Mark Kohler ◽  
James Martin ◽  
Declan Kennedy ◽  
...  
Keyword(s):  
Sleep Disordered Breathing ◽  
Upper Airway ◽  
Sleep Stages ◽  
Control Group ◽  
Apnea Hypopnea Index ◽  
Study Cohort ◽  
Healthy Children ◽  
Equivalent Time ◽  
Before And After ◽  
Disordered Breathing

Sleep-disordered breathing (SDB) in children is assessed by quantification of hypopnea and apnea events. Little is known, however, about respiratory timing and breath-to-breath variability during sleep. The aim of this study was to investigate respiratory parameters across sleep stages in children with SDB before and after treatment compared with healthy children. Overnight polysomnography (PSG) was conducted in 40 children with SDB prior to and 6 mo following adenotonsillectomy. For comparison, a control group of 40 healthy sex- and age-matched children underwent two PSGs at equivalent time points but without intervention. The following variables were measured breath by breath during obstruction-free periods in stage 2 nonrapid eye movement (NREM), stage 4 NREM, and REM sleep: inspiratory time (Ti), expiratory time (Te), total time (Ttotal), inspiratory duty cycle (DC; =Ti/Ttotal), respiratory frequency (fR), and SD of the parameters Ti, Te, fR, and DC. Variability in waveform morphology was also computed using the residue of respiratory patterns. The severity of SDB was relatively mild in the study cohort (obstructive apnea hypopnea index: baseline, 5.1 ± 9.4 vs. 0.1 ± 0.2, P < 0.001; follow-up, 0.3 ± 0.3 vs. 0.8 ± 1.0, P < 0.01). Compared with healthy controls, children with SDB showed significantly longer Ti and Te and a lower fR at the baseline study. These differences were not significant after adenotonsillectomy. Sleep stages were associated with significant differences in all of the respiratory measures in both groups of children. In conclusion, children with relatively mild SDB showed prolonged inspiration and expiration indicative of chronic narrowing of the upper airway. Treatment of SDB normalizes respiratory timing. Documentation of these parameters may aid in both understanding and management of children with SDB.

scholarly journals Wake-up stroke is not associated with sleep-disordered breathing in women

2018 ◽  
Vol 8 (1) ◽  
pp. 8-14 ◽  
Author(s):  
Devin L. Brown ◽  
Chengwei Li ◽  
Ronald D. Chervin ◽  
Erin Case ◽  
Nelda M. Garcia ◽  
...  
Keyword(s):  
Symptom Onset ◽  
Mexican American ◽  
Sleep Disordered Breathing ◽  
Onset Time ◽  
Population Based ◽  
Nocturnal Sleep ◽  
Population Based Study ◽  
Stroke Symptom ◽  
Respiratory Event ◽  
Disordered Breathing

BackgroundWe sought to investigate the frequency of wake-up stroke (WUS) and its association with sleep-disordered breathing (SDB) in women.MethodsWithin a population-based study, women with acute ischemic stroke were asked about their stroke symptom onset time. SDB screening was performed with the well-validated ApneaLink Plus device; SDB was defined by a respiratory event index ≥10. Logistic regression was used to test the association between SDB presence and severity and WUS unadjusted and adjusted for potential confounders including prestroke depression and sleep duration.ResultsAmong 466 participants, the median age was 67.0 years (interquartile range [IQR] 58.0, 77.0), 55% were Mexican American, and the median initial NIH Stroke Scale score was 3.0 (IQR 1.0, 6.0). Stroke symptom onset occurred during nocturnal sleep (25.3%), during a nap (3.9%), during wakefulness (65.9%), or unknown (4.9%). In those with SDB screening performed (n = 259), a median of 11 days (IQR 5, 17) poststroke, WUS was not associated with the presence or severity (respiratory event index) of SDB in unadjusted or adjusted analysis.ConclusionsIn this population-based study, WUS represented about 30% of all generally mild severity ischemic strokes in women and was not associated with SDB.

Sleep disordered breathing: prevalence and association with cardiovascular disease in the French general population

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
P Balagny ◽  
E Wiernik ◽  
J Matta ◽  
J Frija-Masson ◽  
E Vidal-Petiot ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Public Hospital ◽  
Sleep Disordered Breathing ◽  
Population Based ◽  
Berlin Questionnaire ◽  
Funding Source ◽  
French Population ◽  
Limited Sample ◽  
Disordered Breathing

Abstract Background Sleep Disordered Breathing (SDB) is highly prevalent and associated with cardiovascular disease (CVD) but many studies have a limited sample size or uncertain generalizability. Purpose The aim of this study was to obtain contemporary data on SDB prevalence and to assess its impact on CVD occurrence in a large French population-based sample. Methods Data came from participants of the French population-based CONSTANCES cohort, included between 2012 and 2016, with clinical interview, examination and standard biology at inclusion and who were screened for SDB in 2017 using the Berlin Questionnaire (BQ). Follow-up was performed through yearly CONSTANCES questionnaires. CVD occurrence was defined by self-declared myocardial infarction or stroke between 2013 and 2017. Exposure variables were SDB diagnosis on the basis on BQ and its related sleeping symptoms (snoring, apnea and sleepiness). Odds Ratios (OR) were computed with their 95% Confidence Interval (95% CI) and adjusted for age, sex, smoking, dyslipidemia, diabetes, hypertension and body mass index (except for SDB since BQ considers these variables). Results Among 54 228 participants, SDB prevalence was 16.1%. Over four years of follow-up, CVD occurred in 2.23% of SDB participants vs 0.72% in non SDB (OR=1.72, 95% CI [1.41–2.09]). CVD occurrence did not increase significantly with snoring (OR=0.95, 95% CI [0.78; 1.17]), but with apnea (OR=1.34, 95% CI [1.05; 1.71]) and with sleepiness (OR=1.42, 95% CI [1.18–1.72] when fatigue occurred after-sleep and OR=1.62, 95% CI [1.33–1.97] during waking time). These associations remained non-significant for snoring regardless of its frequency or noise, were significant for sleepiness as soon as it happened at least once a week and tended to increase with its frequency whenever fatigue occurred (p for trend&lt;0.001). Subgroups analysis in hypertensive and non-hypertensive participants found similar results concerning snoring and sleepiness. Conclusions These results confirm that SDB is highly prevalent in the general French population and is associated with a higher occurrence of CVD particularly in sleepy and apneic subjects. Screen for SDB and its symptoms should be relevant to identify high cardiovascular risk people who would benefit from preventive measures. Funding Acknowledgement Type of funding source: Public hospital(s). Main funding source(s): Plan d'Investissement d'Avenir-3 (PIA3-RHU, Ministry of Health)

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