Usefulness of sleep events detection using a wrist worn peripheral arterial tone signal device (WatchPAT™) in a population at low risk of obstructive sleep apnea

2021 ◽  
Author(s):  
Pasquale Tondo ◽  
Riccardo Drigo ◽  
Giulia Scioscia ◽  
Andrea Ballarin ◽  
Emanuela Rossi ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Low Risk ◽  
Obstructive Sleep ◽  
Tone Signal ◽  
Peripheral Arterial ◽  
Events Detection ◽  
Arterial Tone

Abstract P195: Lack of Association between Sleep Duration and ECG Arrhythmia Risk Measures: Chicago Area Sleep Study

Circulation ◽  
2013 ◽  
Vol 127 (suppl_12) ◽  
Author(s):  
Jason Ng ◽  
Phyllis C Zee ◽  
Jeffrey J Goldberger ◽  
Kristen L Knutson ◽  
Kiang Liu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Sleep Duration ◽  
Low Risk ◽  
Qtc Interval ◽  
Sleep Study ◽  
Chicago Area ◽  
Obstructive Sleep ◽  
Pr Interval

Introduction Sleep duration is significantly associated with cardiovascular disease risk factors such as hypertension, diabetes, and obesity in adults at low risk for obstructive sleep apnea. Although it is known that apnea increases the risk for sudden cardiac death, it is not known whether adults with short sleep duration independent of apnea have a higher risk for cardiac arrhythmias Hypothesis We tested the hypothesis that sleep duration in adults at low risk for obstructive sleep apnea would be associated with ECG measures that are known risk factors for ventricular arrhythmias. Methods The Chicago Area Sleep Study recruited 610 participants via commercially available telephone listings. Participants were screened using in-home apnea detection equipment (ApneaLinkTM) for one night to exclude subjects with apnea/hypopnea index ≥ 15. Participants wore wrist actigraphs for 7 days to objectively determine sleep duration. A 10-minute 12-lead ECG was recorded for each subject. Standard measures of heart rate, PR interval, and QTc interval were obtained along with markers of ventricular repolarization, Tpeak to Tend interval (Tpe) and spatial QRS-T angle. Signal-averaged ECG analysis was performed to measure filtered QRS duration (fQRSd), RMS voltage of terminal 40 ms (RMS), and duration of terminal QRS signals <40μV (LAS). Participants with atrial fibrillation, >20% ectopic beats and those using antihypertensive and sleep medications were excluded from analysis. The effect of sleep duration on the ECG parameters was estimated using a multiple linear regression model adjusting for demographics (sex, age, and race) and cardiovascular risk factors (BMI, hypertension, coronary heart disease, and diabetes). Results ECGs from a total of 504 participants (200 male, 48±8 years old) were analyzed. Mean sleep duration was 7±1 hrs, heart rate was 64±9 bpm, PR interval was 165±18 ms, and QTc interval was 424±23 ms. Mean Tpe interval was 83±14 ms and spatial QRS-T angle was 29±26 deg. The signal-averaged ECG measures of fQRSd, RMS, and LAS had mean values of 78±12 ms, 58±34 μV, and 24±9 ms, respectively. In an unadjusted model, there was a borderline association between sleep duration and QTc (β=0.004 ms/hr, SE=0.0023, p=0.08). However, that association was no longer significant following adjustment with demographics and cardiovascular risk factors. No other ECG measures were associated with sleep duration. Conclusions In a population at low risk of obstructive sleep apnea, ECG-based measures of cardiovascular risks were not associated with sleep duration. Previously reported associations between short sleep and cardiovascular events may not be arrhythmic in origin.

The utility of neck/thyromental ratio in defining low-risk patients with obstructive sleep apnea in sleep clinics

2014 ◽  
Vol 271 (9) ◽  
pp. 2575-2581
Author(s):  
Melike Yuceege ◽  
Hikmet Firat ◽  
Nejat Altintas ◽  
Murad Mutlu ◽  
Sadik Ardic
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Low Risk ◽  
Obstructive Sleep ◽  
Risk Patients

397 Health Insurance Status in Subjects at High Risk for Obstructive Sleep Apnea

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A158-A158
Author(s):  
Adnan Abbasi ◽  
Sameepya Thatipelli
Keyword(s):  
Health Care ◽  
Obstructive Sleep Apnea ◽  
Health Insurance ◽  
Sleep Apnea ◽  
High Risk ◽  
Low Risk ◽  
Insurance Status ◽  
Health Insurance Status ◽  
Obstructive Sleep ◽  
Increased Risk

Abstract Introduction Undiagnosed obstructive sleep apnea (OSA) is a major public health problem. Undiagnosed OSA can result in decreased productivity due to absenteeism, increased risk of comorbidities (cardiovascular disease, diabetes, and depression), and increased motor vehicle as well as workplace accidents. Lack of health insurance coverage can lead to undiagnosed and therefore untreated OSA. The objective of this study is to evaluate health insurance status in subjects at high-risk for OSA. Methods This is a cross-sectional, population-based study of adults 18 years and older who participated in the 2017–2018 National Health and Nutrition Examination Survey (NHANES). A modified STOP-Bang score was used to calculate OSA risk. This score included all the variables from the standard STOP-Bang questionnaire, except neck circumference, since it was not reported in the NHANES survey. Subjects were divided into two groups: those at low-risk for OSA with a modified STOP-Bang score of ≤ 3 and those at high-risk for OSA with a modified STOP-Bang score of &gt;4. Results A total of 4,847 adult subjects were included, which represented 223,385,241 of the U.S. non-institutionalized population. Using the modified STOP-Bang score cutoff of &gt;4, 20.9% of the sample were classified as high-risk for OSA, while 79.1% were classified as low-risk for OSA. 90% of the high-risk OSA group and 85.1% of the low-risk OSA group reported having health insurance. Sociodemographic data will also be analyzed and included. Conclusion Approximately 10% of subjects who are at high-risk for OSA reported not having health insurance. This represents over 4.6 million Americans in the non-institutionalized population. Health insurance can improve access to health care. Timely diagnosis and treatment of OSA not only can reduce morbidity and mortality, but can also reduce health care costs. Support (if any) CDC for NHANES Data.

Abstract 527: Obstructive Sleep Apnea and Endothelial Dysfunction in Resistant Hypertension

Hypertension ◽  
2013 ◽  
Vol 62 (suppl_1) ◽  
Author(s):  
Nádia M Amorim ◽  
Fabiana B Bassan ◽  
Luciene d Araújo ◽  
Julia F Fernandes ◽  
Maria d Rodrigues ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Endothelial Dysfunction ◽  
Endothelial Function ◽  
Resistant Hypertension ◽  
Anthropometric Parameters ◽  
Peripheral Arterial Tonometry ◽  
Arterial Tonometry ◽  
Obstructive Sleep ◽  
Peripheral Arterial

Background: Obstructive sleep apnea (OSA) is considered an independent risk factor for cardiovascular disease and reported as the most common secondary cause of high blood pressure (BP) maintenance. Objective: To determine the prevalence of OSA and verify its association with endothelial function behavior and anthropometric parameters in patients with resistant hypertension (RHGroup) and BP controlled by medication (CHGroup). Methods: Cross-sectional study involving 40 hypertensive patients (20 in RHG and 20 in CHG), aged between 18 and 75 years. Endothelial function and OSA were assessed by peripheral arterial tonometry. BP was measured by oscillometric method on automatic device. Endothelial function was assessed by peripheral arterial tonometry (PAT) by EndoPAT2000 and the OSA diagnosis also through PAT, using the portable device WatchPAT200. Anthropometric evaluation was performed through measurements of waist (WaC), hip and neck circumference (NC), BMI, waist to height ratio (WHtR), and body composition assessed by BIA. Results: The prevalence of OSA in RHG was 85% (17 of 20)[apnea-hypopnea index = 12.39±1.89], and 80% (16 of 20) in CHG (AHI=20.74±4.69) and it was more frequent in men (93.7% [15 of 16] vs 75% [16 of 24]; p=0.0455, OR =3.86; 95% IC 0.99 to 5.09). Both groups presented similar anthropometric parameters values. Endothelial function evaluated by reactive hyperemia index was similar in both groups (RHG: 1.88±0.44 vs CHG: 2.03±0.43; p=0.47). Although we found differences in oxygen desaturation> 4% (RHG: 28.75 ± 5.08 vs CHG: 64.15 ± 16.97, p = 0.05), total sleep time (RHG: 307.2 ± 71.3 vs CHG: 323.3 ± 83.8 min) and minimum saturation (RHG: 87.8±3.8 vs CHG: 83.3±10.6%) was not different. In general, OSA was correlated with weight (r = 0.5135, p = 0.0007), BMI (r = 0.4146, p = 0.0078), WaC (r = 0, 4458, p = 0.005), NC (r = 0.3863, p = 0.01) and WHtR (r = 0.3907, p = 0.01) and independently associated with impairment of endothelial function (p = 0.0297, OR = 0.17, 95% CI 0.04 to 0.72). Conclusions: The findings of the present study show that the prevalence of OSA was similar in both groups and suggest that, in hypertensive subjects, OSA occurs more frequently in men, being associated with endothelial dysfunction and correlated positively with weight, BMI and WaC.

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