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.

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.

417 Transgender Hormone Therapy and Sleep-Disordered Breathing

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A165-A165
Author(s):  
Ronald Gavidia ◽  
Galit Levi Dunietz ◽  
Lisa Matlen ◽  
Shelley Hershner ◽  
Daphna Stroumsa ◽  
...  
Keyword(s):  
Linear Regression ◽  
Regression Models ◽  
Sleep Disordered Breathing ◽  
Hormone Replacement ◽  
Apnea Hypopnea Index ◽  
Linear Regression Models ◽  
Sleep Complaints ◽  
Human Respiration ◽  
Lower Oxygen ◽  
Disordered Breathing

Abstract Introduction Sex hormones may affect human respiration during wakefulness and sleep. Testosterone has been associated with increased obstructive respiratory events contributing to sleep-disordered breathing (SDB) in men, whereas a protective effect against SDB has been attributed to estrogen in women. These associations, primarily observed in cisgender populations, have been rarely examined in transgender individuals on hormone replacement therapy (HRT). The present study investigated associations between HRT and SDB in transgender adults. Methods A chart review of medical records from transgender patients was conducted in a large academic sleep medicine center. Individuals were included if they were at least 18 years old, had one or more sleep complaints, and SDB testing results available. Participants were then stratified by affirmed gender (transmasculine and transfeminine) and by HRT status. We used descriptive statistics procedures to examine differences between gender and HRT groups. Associations between HRT and the apnea-hypopnea index (AHI) were estimated with age-adjusted linear regression models. Results Of the 194 individuals identified, 89 satisfied the inclusion criteria. Nearly half of participants were transmasculine (52%). The mean age was 38±13 years, and mean body mass index was 34.7±9.0 Kg/m2. Approximately 60% of participants were on HRT at the time of SDB evaluation. Transmasculine people who were prescribed testosterone had a significantly increased AHI and lower oxygen nadir in comparison to transmasculine individuals not on testosterone (AHI 36.8±37.8/hour vs.15.3±16.6/hour, p=0.01; oxygen nadir 83.4±8.3% vs. 89.1±2.4%, p=0.001). In contrast, differences between transfeminine people with and without feminizing HRT (androgen blocker + estrogen) were not statistically significant (AHI 21.4±27.7/hour vs. 27.7±26.0/hour, p=0.45; oxygen nadir 86.5±6.7% vs. 84.1±7.7%, p=0.29). Linear regression models adjusted for age found an association between HRT and AHI for transmasculine (β=16.7, 95% CI 2.7, 30.8), but not for transfeminine participants (β=-2.5, 95% CI -17.9, 12.9). Conclusion These findings suggest differential associations between HRT and AHI among transgender individuals, with transmasculine on testosterone having a significant increase in AHI. Prospective studies with large sample sizes are warranted to evaluate these associations. Support (if any) Dr. Gavidia’s work was supported by an NIH/NINDS T32-NS007222 grant

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 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)

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.

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.

Sleep-Disordered Breathing, Sleep Quality, and Mild Cognitive Impairment in the General Population

2014 ◽  
Vol 41 (2) ◽  
pp. 479-497 ◽  
Author(s):  
Martha Dlugaj ◽  
Gerhard Weinreich ◽  
Christian Weimar ◽  
Andreas Stang ◽  
Nico Dragano ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
General Population ◽  
Sleep Quality ◽  
Sleep Disordered Breathing ◽  
Disordered Breathing

scholarly journals Sleep-Disordered Breathing, Hypoxia, and Risk of Mild Cognitive Impairment and Dementia in Older Women

2012 ◽  
Vol 67 (1) ◽  
pp. 34-36 ◽  
Author(s):  
Kristine Yaffe ◽  
Alison M. Laffan ◽  
Stephanie Litwack Harrison ◽  
Susan Redline ◽  
Adam P. Spira ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Older Women ◽  
Sleep Disordered Breathing ◽  
Disordered Breathing

558 A Surface Electrode Adjacent to Vagal Nerve Stimulator Lead Can Aid in Characterizing VNS Mediated Sleep Disordered Breathing

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A220-A221
Author(s):  
Jeremy Chan ◽  
Joanna Wrede
Keyword(s):  
Sleep Disordered Breathing ◽  
Pediatric Patients ◽  
Refractory Epilepsy ◽  
Vagal Nerve ◽  
Apnea Hypopnea Index ◽  
Surface Electrode ◽  
Patients Âgés ◽  
Vagal Nerve Stimulator ◽  
Obstructive Sleep ◽  
Disordered Breathing

Abstract Introduction Vagal nerve stimulators (VNS) are a nonpharmacological treatment for patients with refractory epilepsy. The VNS can decrease seizure frequency by over 75% in 40% of pediatric patients with refractory epilepsy. An underrecognized side effect is sleep disordered breathing (SDB). The purpose of this study was to demonstrate how a sensor placed adjacent to the VNS lead can distinguish whether SDB is due to VNS discharge. Methods Five pediatric patients (ages: 5–8) with refractory epilepsy with VNS were referred to our sleep center for concern for SDB. Each patient underwent a polysomnogram (PSG) that included a standard PSG montage with a surface electrode placed adjacent to their left lateral neck to detect VNS discharge. VNS associated apnea hypopnea index (vAHI) was calculated by determining the number of hypopneas and obstructive apneas occurring during VNS discharge. Results Of the 5 patients, three met pediatric criteria for obstructive sleep apnea (OSA). Patient 1 had an obstructive AHI (oAHI) of 21.3 events/hr with a vAHI accounting for 79% of the total (16.8 events/hr), patient 2 had an oAHI of 16.6 events/hr with a vAHI accounting for 57% of the total (9.5 events/hr), and patient 3 had an oAHI of 1.9 events/hr with vAHI accounting for 68% of the total (1.3 events/hr). Because of these findings, the VNS settings of all 3 patients were changed with the goal of reducing SDB due to VNS discharge. Upon repeat PSG, patient 2 had reduced OSA with an oAHI of 3 events/hr, with no events associated with VNS discharge. The remaining 2 patients did not exhibit VNS associated SDB, however, both experienced increased respiratory rate during VNS discharge. Conclusion We demonstrated that a surface electrode adjacent to the VNS is able to temporally co-register VNS discharges and enabled us to directly correlate SDB to VNS stimulation in 3 patients with refractory epilepsy. Because of our findings, we titrated the VNS parameters in all 3 patients, with one showing resolution of VNS associated SDB on repeat PSG. We propose that an added surface electrode to detect VNS discharge be considered as standard practice in PSG studies of patients with VNS. Support (if any):

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