Capability of a neck worn device to measure sleep/wake, airway position, and differentiate benign snoring from obstructive sleep apnea
Identifieur interne : 001396 ( Main/Merge ); précédent : 001395; suivant : 001397Capability of a neck worn device to measure sleep/wake, airway position, and differentiate benign snoring from obstructive sleep apnea
Auteurs : Daniel J. Levendowski [États-Unis] ; Bratislav Veljkovic [États-Unis] ; Sean Seagraves [États-Unis] ; Philip R. Westbrook [États-Unis]Source :
- Journal of Clinical Monitoring and Computing [ 1387-1307 ] ; 2014.
Abstract
To evaluate the accuracy of a neck-worn device in measuring sleep/wake, detecting supine airway position, and using loud snoring to screen for obstructive sleep apnea. Study A included 20 subjects who wore the neck-device during polysomnography (PSG), with 31 records obtained from diagnostic and split-night studies. Study B included 24 community-based snorers studied in-home for up to three-nights with obstructive sleep apnea (OSA) severity measured with a validated Level III recorder. The accuracy of neck actigraphy-based sleep/wake was measured by assessing sleep efficiency (SE). Differences in sleep position measured at the chest and neck during PSG were compared to video-editing. Loud snoring acquired with an acoustic microphone was compared to the apnea-hypopnea index (AHI) by- and acrosspositions. Over-reported SE by neck actigraphy was inversely related to OSA severity. Measurement of neck and chest supine position were highly correlated with video-edits (r = 0.93, 0.78). Chest was bias toward over-estimating supine time while the majority of neck-device supine position errors occurred during CPAP titrations. Snoring was highly correlated with the overall, supine, and non-supine PSG-AHI (r = 0.79, 0.74, 0.83) and was both sensitive and specific in detecting overall, supine, and non-supine PSGAHI >10 (sensitivity = 81, 88, 82 %; specificity = 87, 79, 100 %). At home sleep testing-AHI > 10, the sensitivity and specificity of loud snoring was superior when users were predominantly non-supine as compared to baseline (sensitivity = 100, 92 %; specificity = 88, 77 %). Neck actigraphy appears capable of estimating sleep/wake. The accuracy of supine airway detection with the neck-device warrants further investigation. Measurement of loud snoring appears to provide a screening tool for differentiating positional apneic and benign snorers.
Url:
DOI: 10.1007/s10877-014-9569-3
PubMed: 24599632
PubMed Central: 4309901
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Levendowski</name><affiliation wicri:level="2"><nlm:aff id="Aff1">Advanced Brain Monitoring Inc., Carlsbad, CA USA</nlm:aff><country>États-Unis</country><placeName><region type="state">Californie</region></placeName><wicri:cityArea>Advanced Brain Monitoring Inc., Carlsbad</wicri:cityArea></affiliation></author><author><name sortKey="Veljkovic, Bratislav" sort="Veljkovic, Bratislav" uniqKey="Veljkovic B" first="Bratislav" last="Veljkovic">Bratislav Veljkovic</name><affiliation wicri:level="2"><nlm:aff id="Aff1">Advanced Brain Monitoring Inc., Carlsbad, CA USA</nlm:aff><country>États-Unis</country><placeName><region type="state">Californie</region></placeName><wicri:cityArea>Advanced Brain Monitoring Inc., Carlsbad</wicri:cityArea></affiliation></author><author><name sortKey="Seagraves, Sean" sort="Seagraves, Sean" uniqKey="Seagraves S" first="Sean" last="Seagraves">Sean Seagraves</name><affiliation wicri:level="2"><nlm:aff id="Aff1">Advanced Brain Monitoring Inc., Carlsbad, CA USA</nlm:aff><country>États-Unis</country><placeName><region type="state">Californie</region></placeName><wicri:cityArea>Advanced Brain Monitoring Inc., Carlsbad</wicri:cityArea></affiliation></author><author><name sortKey="Westbrook, Philip R" sort="Westbrook, Philip R" uniqKey="Westbrook P" first="Philip R." last="Westbrook">Philip R. 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Levendowski</name><affiliation wicri:level="2"><nlm:aff id="Aff1">Advanced Brain Monitoring Inc., Carlsbad, CA USA</nlm:aff><country>États-Unis</country><placeName><region type="state">Californie</region></placeName><wicri:cityArea>Advanced Brain Monitoring Inc., Carlsbad</wicri:cityArea></affiliation></author><author><name sortKey="Veljkovic, Bratislav" sort="Veljkovic, Bratislav" uniqKey="Veljkovic B" first="Bratislav" last="Veljkovic">Bratislav Veljkovic</name><affiliation wicri:level="2"><nlm:aff id="Aff1">Advanced Brain Monitoring Inc., Carlsbad, CA USA</nlm:aff><country>États-Unis</country><placeName><region type="state">Californie</region></placeName><wicri:cityArea>Advanced Brain Monitoring Inc., Carlsbad</wicri:cityArea></affiliation></author><author><name sortKey="Seagraves, Sean" sort="Seagraves, Sean" uniqKey="Seagraves S" first="Sean" last="Seagraves">Sean Seagraves</name><affiliation wicri:level="2"><nlm:aff id="Aff1">Advanced Brain Monitoring Inc., Carlsbad, CA USA</nlm:aff><country>États-Unis</country><placeName><region type="state">Californie</region></placeName><wicri:cityArea>Advanced Brain Monitoring Inc., Carlsbad</wicri:cityArea></affiliation></author><author><name sortKey="Westbrook, Philip R" sort="Westbrook, Philip R" uniqKey="Westbrook P" first="Philip R." last="Westbrook">Philip R. Westbrook</name><affiliation wicri:level="2"><nlm:aff id="Aff1">Advanced Brain Monitoring Inc., Carlsbad, CA USA</nlm:aff><country>États-Unis</country><placeName><region type="state">Californie</region></placeName><wicri:cityArea>Advanced Brain Monitoring Inc., Carlsbad</wicri:cityArea></affiliation><affiliation wicri:level="2"><nlm:aff id="Aff2">Professor Emeritus, School of Medicine, University of California in Los Angeles (UCLA), Los Angeles, CA USA</nlm:aff><country>États-Unis</country><placeName><region type="state">Californie</region></placeName><wicri:cityArea>Professor Emeritus, School of Medicine, University of California in Los Angeles (UCLA), Los Angeles</wicri:cityArea></affiliation></author></analytic><series><title level="j">Journal of Clinical Monitoring and Computing</title><idno type="ISSN">1387-1307</idno><idno type="eISSN">1573-2614</idno><imprint><date when="2014">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>To evaluate the accuracy of a neck-worn device in measuring sleep/wake, detecting supine airway position, and using loud snoring to screen for obstructive sleep apnea. Study A included 20 subjects who wore the neck-device during polysomnography (PSG), with 31 records obtained from diagnostic and split-night studies. Study B included 24 community-based snorers studied in-home for up to three-nights with obstructive sleep apnea (OSA) severity measured with a validated Level III recorder. The accuracy of neck actigraphy-based sleep/wake was measured by assessing sleep efficiency (SE). Differences in sleep position measured at the chest and neck during PSG were compared to video-editing. Loud snoring acquired with an acoustic microphone was compared to the apnea-hypopnea index (AHI) by- and acrosspositions. Over-reported SE by neck actigraphy was inversely related to OSA severity. Measurement of neck and chest supine position were highly correlated with video-edits (r = 0.93, 0.78). Chest was bias toward over-estimating supine time while the majority of neck-device supine position errors occurred during CPAP titrations. Snoring was highly correlated with the overall, supine, and non-supine PSG-AHI (r = 0.79, 0.74, 0.83) and was both sensitive and specific in detecting overall, supine, and non-supine PSGAHI >10 (sensitivity = 81, 88, 82 %; specificity = 87, 79, 100 %). At home sleep testing-AHI > 10, the sensitivity and specificity of loud snoring was superior when users were predominantly non-supine as compared to baseline (sensitivity = 100, 92 %; specificity = 88, 77 %). Neck actigraphy appears capable of estimating sleep/wake. The accuracy of supine airway detection with the neck-device warrants further investigation. Measurement of loud snoring appears to provide a screening tool for differentiating positional apneic and benign snorers.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Enright, Pl" uniqKey="Enright P">PL Enright</name></author><author><name sortKey="Newman, Ab" uniqKey="Newman A">AB Newman</name></author><author><name sortKey="Wahl, Pm" uniqKey="Wahl P">PM Wahl</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Chuang, Lp" uniqKey="Chuang L">LP Chuang</name></author><author><name sortKey="Hsu, Sc" uniqKey="Hsu S">SC Hsu</name></author><author><name sortKey="Lin, Sw" uniqKey="Lin S">SW Lin</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Kara, Co" uniqKey="Kara C">CO Kara</name></author><author><name sortKey="Zencir, M" uniqKey="Zencir M">M Zencir</name></author><author><name sortKey="Topuz, B" uniqKey="Topuz B">B 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Maanen, Jp" uniqKey="Van Maanen J">JP van Maanen</name></author><author><name sortKey="Meester, Ka" uniqKey="Meester K">KA Meester</name></author><author><name sortKey="Dun, Ln" uniqKey="Dun L">LN Dun</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Van Maanen, Jp" uniqKey="Van Maanen J">JP van Maanen</name></author><author><name sortKey="Richard, W" uniqKey="Richard W">W Richard</name></author><author><name sortKey="Van Kesteren, Er" uniqKey="Van Kesteren E">ER van Kesteren</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Marklund, M" uniqKey="Marklund M">M Marklund</name></author><author><name sortKey="Persson, M" uniqKey="Persson M">M Persson</name></author><author><name sortKey="Franklin, Ka" uniqKey="Franklin K">KA Franklin</name></author></analytic></biblStruct></listBibl></div1></back></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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