scholarly journals Questionnaire and Portable Sleep Test Screening of Sleep Disordered Breathing in Acute Stroke and TIA

2021 ◽  
Vol 10 (16) ◽  
pp. 3568
Author(s):  
Benjamin K. Petrie ◽  
Tudor Sturzoiu ◽  
Julie Shulman ◽  
Saleh Abbas ◽  
Hesham Masoud ◽  
...  
Keyword(s):  
Acute Stroke ◽  
Sleep Disordered Breathing ◽  
Secondary Analysis ◽  
Apnea Hypopnea Index ◽  
Berlin Questionnaire ◽  
Acute Setting ◽  
C Statistic ◽  
Ischemic Attack ◽  
Stop Questionnaire ◽  
Disordered Breathing

Sleep disordered breathing (SDB) is highly prevalent, but frequently unrecognized among stroke patients. Polysomnography (PSG) is difficult to perform soon after a stroke. We evaluated the use of screening questionnaires and portable sleep testing (PST) for patients with acute stroke, subarachnoid hemorrhage, or transient ischemic attack to expedite SDB diagnosis and management. We performed a single-center retrospective analysis of a quality improvement study on SDB screening of consecutive daytime, weekday, adult admissions to a stroke unit. We excluded patients who were unable to communicate and lacked available family members. Patients were screened with the Epworth Sleepiness Scale, Berlin Questionnaire, and STOP-BANG Questionnaire and underwent overnight PST and/or outpatient PSG. The 4-item STOP Questionnaire was derived from STOP-BANG for a secondary analysis. We compared the sensitivity and specificity of the questionnaires for the diagnosis of at least mild SDB (apnea hypopnea index (AHI) ≥5) on PST and correlated AHI measurements between PST and PSG using the Spearman correlation. Out of sixty-eight patients included in the study, 54 (80%) were diagnosed with SDB. Only one (1.5%) had a previous SDB diagnosis. Thirty-three patients completed all questionnaires and a PST. The STOP-BANG questionnaire had the highest sensitivity for at least mild SDB (0.81, 95% CI (confidence interval): 0.65–0.92) but a low specificity (0.33, 95% CI 0.10, 0.65). The discrimination of all questionnaires was overall poor (C statistic range 0.502–0.640). There was a strong correlation (r = 0.71) between the AHI results estimated using PST and outpatient PSG among 28 patients. The 4-item STOP Questionnaire was the easiest to administer and had a comparable or better sensitivity than the other questionnaires. Inpatient PSTs were useful for screening in the acute setting to facilitate an early diagnosis of SDB and to establish further outpatient evaluations with sleep medicine.

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.

400 Utility of the STOP Questionnaire in Predicting Sleep Disordered Breathing in Older Women Veterans

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A159-A159
Author(s):  
Monica Kelly ◽  
Isabel Moghtaderi ◽  
Sarah Kate McGowan ◽  
Gwendolyn Carlson ◽  
Karen Josephson ◽  
...  
Keyword(s):  
Diagnostic Accuracy ◽  
Older Women ◽  
Sleep Disordered Breathing ◽  
Women Veterans ◽  
Time Estimation ◽  
Apnea Hypopnea Index ◽  
Likelihood Ratios ◽  
Cross Sectional ◽  
Stop Questionnaire ◽  
Disordered Breathing

Abstract Introduction Sleep disordered breathing (SDB) is underdiagnosed in older women, despite a significant increase in SDB prevalence post-menopause. Few studies have assessed the diagnostic accuracy of SDB screening questionnaires in older women, particularly older Women Veterans (WV). WV have higher rates of SDB compared to non-Veteran women and are particularly vulnerable to sleep disorders in general. We examined the diagnostic accuracy of the STOP questionnaire compared to home sleep apnea testing (HSAT) that includes sleep time estimation (i.e., WatchPAT) in older WV. Methods Cross-sectional baseline data obtained from chart review were combined from two behavioral sleep intervention studies targeting WV with sleep difficulties (i.e., insomnia symptoms) or SDB risk factors (e.g., hypertension, obesity). A total of 136 older WV (50-91y; age=60.0±7.8y) completed the STOP questionnaire (yes/no: snoring, tiredness, observed breathing pauses, and high blood pressure [BP]) and had an apnea-hypopnea index (AHI) available from their baseline HSAT (WatchPAT). Sensitivity, specificity, and positive and negative likelihood ratios (+LR/-LR) were calculated to characterize the diagnostic accuracy of STOP≥2 for AHI≥5 (mild SDB) or AHI≥15 (moderate SDB). Results 70.6% (n=96) of participants endorsed a STOP≥2, 83.8% (n=114) demonstrated an AHI≥5 and 46.3% (n=63) demonstrated an AHI≥15. For AHI≥5, sensitivity was 73.7% (95% CI=64.6,81.5%), specificity was 45.5% (95% CI=24.4,67.8%), +LR was 1.35 (95% CI=0.91, 2.01), and -LR was 0.58 (95% CI=0.33,1.00). For AHI≥15, sensitivity was 76.2% (95% CI=63.8,86%), specificity was 34.2% (95% CI=23.5,46.3%), +LR was 1.16 (95% CI=0.93,1.44), and -LR was 0.70 (95% CI=0.30,1.20). Conclusion The likelihood ratios for STOP≥2 limited the utility of the STOP vs. an HSAT system with sleep scoring in determining AHI. While the STOP correctly identified 3/4 of older WV with SDB on WatchPAT, it correctly identified <50% of older WV without SDB. Screening measures that better capture predictors of moderate SDB in women at risk for SDB are needed, especially in older women who may not present clinically with the common SDB symptoms (i.e. snoring, tiredness, observed breathing pauses, and high BP). STOP compared to polysomnography studies are also needed. Support (if any) VA HSR&D IIR-13–058, IIR 16–244 and RCS 20–191; NIH/NHLBI K24 HL143055, VAGLAHS GRECC, VA Office of Academic Affiliations, and AASM Foundation.

scholarly journals Sleep Disordered Breathing Measures in Early Pregnancy Are Associated with Depressive Symptoms in Late Pregnancy

Diagnostics ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 858
Author(s):  
Margaret H. Bublitz ◽  
Meghan Sharp ◽  
Taylor Freeburg ◽  
Laura Sanapo ◽  
Nicole R. Nugent ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Early Pregnancy ◽  
Sleep Disordered Breathing ◽  
Late Pregnancy ◽  
Self Report ◽  
Apnea Hypopnea Index ◽  
Berlin Questionnaire ◽  
Sleep Study ◽  
Home Sleep Study ◽  
Disordered Breathing

Sleep disordered breathing (SDB) and depression are both common complications of pregnancy and increase risk for adverse maternal and neonatal outcomes. SDB precedes onset of depression in non-pregnant adults; however, the longitudinal relationship has not been studied in pregnancy. The present research examined temporal associations between SDB and depressive symptoms in 175 pregnant women at risk for SDB (based on frequent snoring and obesity), but without an apnea hypopnea index of ≥5 events per hour at enrollment. Women completed a self-report assessments of depressive symptoms using PHQ-9 and in-home level III sleep apnea monitoring at approximately 12- and 32-weeks’ gestation. We also assessed the risk for SDB using the Berlin Questionnaire in early pregnancy. Results revealed that measures of SDB in early pregnancy as assessed by in-home sleep study, but not by self-reported SDB, predicted elevated depressive symptoms in late pregnancy. SDB in late pregnancy was not associated with depressive symptoms. To conclude, these findings suggest that SDB may increase the risk for elevated depressive symptoms as pregnancy progresses.

scholarly journals Validation of the Berlin Questionnaire and American Society of Anesthesiologists Checklist as Screening Tools for Obstructive Sleep Apnea in Surgical Patients

2008 ◽  
Vol 108 (5) ◽  
pp. 822-830 ◽  
Author(s):  
Frances Chung ◽  
Balaji Yegneswaran ◽  
Pu Liao ◽  
Sharon A. Chung ◽  
Santhira Vairavanathan ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
High Risk ◽  
Screening Tools ◽  
Surgical Patients ◽  
Apnea Hypopnea Index ◽  
Berlin Questionnaire ◽  
Obstructive Sleep ◽  
American Society ◽  
American Society Of Anesthesiologists ◽  
Stop Questionnaire

Background Because of the high prevalence of obstructive sleep apnea (OSA) and its adverse impact on perioperative outcome, a practical screening tool for surgical patients is required. This study was conducted to validate the Berlin questionnaire and the American Society of Anesthesiologists (ASA) checklist in surgical patients and to compare them with the STOP questionnaire. Methods After hospital ethics approval, preoperative patients aged 18 yr or older and without previously diagnosed OSA were recruited. The scores from the Berlin questionnaire, ASA checklist, and STOP questionnaire were evaluated versus the apnea-hypopnea index from in-laboratory polysomnography. The perioperative data were collected through chart review. Results Of 2,467 screened patients, 33, 27, and 28% were respectively classified as being at high risk of OSA by the Berlin questionnaire, ASA checklist, and STOP questionnaire. The performance of the screening tools was evaluated in 177 patients who underwent polysomnography. The sensitivities of the Berlin questionnaire, ASA checklist, and STOP questionnaire were 68.9-87.2, 72.1-87.2, and 65.6-79.5% at different apnea-hypopnea index cutoffs. There was no significant difference between the three screening tools in the predictive parameters. The patients with an apnea-hypopnea index greater than 5 and the patients identified as being at high risk of OSA by the STOP questionnaire or ASA checklist had a significantly increased incidence of postoperative complications. Conclusions Similar to the STOP questionnaire, the Berlin questionnaire and ASA checklist demonstrated a moderately high level of sensitivity for OSA screening. The STOP questionnaire and the ASA checklist were able to identify the patients who were likely to develop postoperative complications.

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):

Abstract TP208: Sleep Disordered Breathing (SDB) - An Overlooked Modifiable Risk Factor in Acute Stroke Care

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Vishal Shah ◽  
Ashrai Gudlavalleti ◽  
Julius G Latorre
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Ischemic Stroke ◽  
Acute Stroke ◽  
Acute Ischemic Stroke ◽  
Sleep Disordered Breathing ◽  
Modifiable Risk Factor ◽  
Inclusion Criteria ◽  
Risk Of Death ◽  
Disordered Breathing

Introduction: In patients with acute stroke, part of the acute management entails identifying the risk factors; modifiable or non modifiable. Early recognition of these factors is essential for optimizing therapeutic procedures, especially those with a known effective treatment. In this sense, Sleep Disordered Breathing (SDB) has also been suggested as a modifiable and independent risk factor for stroke as defined by international guidelines and some studies have demonstrated that patients with stroke and particularly Obstructive Sleep Apnea (OSA) have an increased risk of death or new vascular events. Pathogenesis of ischemic stroke in SDB is probably related to worsening of existing cardiovascular risk factors such as hypertension and hypoxia driven cardiac arrhythmia leading to higher prevalence of ischemic stroke in patients with sleep disordered breathing disease. Despite strong evidence linking SDB to ischemic stroke, evaluation for SDB is rarely performed in patients presenting with an acute ischemic stroke. Hypothesis: Evaluation of SDB is rarely performed in patients presenting with acute ischemic stroke. Methods: We performed a retrospective review of all patients above the age of 18 who were admitted to the acute stroke service at University Hospital July 2014 to December 2014. Demographic data, etiology of stroke as identified per TOAST criteria, modifiable risk factors, presenting NIHSS and frequency of testing for SDB and their results were collected. The data was consolidated and tabulated by using STATA version 14. Results: Total of 240 patients satisfied our inclusion criteria. Only 24 patients ie 10% of those who satisfied our inclusion criteria received evaluation for SDB. Out of those evaluated, 62.5% ie 15 patients out of 24 patients had findings concerning for significant desaturation. Only 2 providers out of 8 stroke physicians ie 25% tested for SDB in more than 5 patients. Conclusions: Our observations highlight the paucity in evaluation for SDB in acute ischemic stroke in a tertiary care setting. Being a modifiable risk factor, greater emphasis must be placed on evaluation for SDB in patients in patients with acute stroke. Education must be provided to all patients and providers regarding identification of these factors.

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

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