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714 Sleep Disordered Breathing Polysomnographic Measures and COVID-19 Risk of WHO-7 Clinical Outcomes in a Large Health Care System
Introduction There is lack of clarity of sleep disordered breathing (SDB)--including the role of nocturnal hypoxia and confounding influence of obesity--on the clinical course of human coronavirus disease 2019 (COVID-19). We postulate that SDB portends increased risk of adverse COVID-19 clinical out...
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Published in: | Sleep (New York, N.Y.) N.Y.), 2021-05, Vol.44 (Supplement_2), p.A278-A279 |
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description | Introduction There is lack of clarity of sleep disordered breathing (SDB)--including the role of nocturnal hypoxia and confounding influence of obesity--on the clinical course of human coronavirus disease 2019 (COVID-19). We postulate that SDB portends increased risk of adverse COVID-19 clinical outcomes even after accounting for confounding factors. Methods A retrospective cohort analysis of COVID-19 and sleep laboratory observational registries March-November 2020 within the Cleveland Clinic health system was performed. Ordinal logistic regression assessed the association of SDB indices and World Health Organization (WHO)-7 COVID-19 clinical outcome (hospitalization, use of supplemental oxygen, non-invasive ventilation, mechanical ventilation/ECMO and death) in an unadjusted model and adjusted for age, sex, race, body mass index(BMI,kg/m2),diabetes mellitus, hypertension, coronary artery disease, heart failure, asthma, chronic obstructive pulmonary disease (COPD), cancer and smoking using SAS software. Results Of 19,449 (32%) patients positive for SARS-CoV-2,2,290 (6%) had an available sleep study. The analytic sample included 1788 of which 1,484(64%) had an apnea hypopnea index (AHI, 3–4% hypopnea oxygen desaturation)≥5. The median duration from sleep study to COVID test was 5.8 years (IQR:3.3–9.0). Age was 56.5±14.4 years,50.4% female,28% African American with BMI=35.9±8.9kg/m2. Nine percent of patients were hospitalized,10% with supplemental oxygen,6% used non-invasive ventilation,2% required ECMO or mechanical ventilation and 2% died. For every AHI increase of 5, the odds of a higher WHO-7 level increased 2% (OR=1.02,95%CI1.01-1.04,p=0.005),but the association was mitigated in the adjusted model (OR=1.00,95%CI:0.98,1.02,p=0.80). Per 5% increase in time spent with SaO2 |
doi_str_mv | 10.1093/sleep/zsab072.712 |
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fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8135747</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2780327079</sourcerecordid><originalsourceid>FETCH-LOGICAL-c1682-9be28ef7c0055bb45b780cbc90e0f88948537d34fd896b22f34cf68b2ca7529e3</originalsourceid><addsrcrecordid>eNpVkU9P3DAQxS3USmxpPwA3S5wD_hOv7QsSDW0XaautgMLRsp3JriGJFzuptFz54g2wqtTTaPTevHnSD6FjSk4p0fwstwDbs-dsHZHsVFJ2gGZUCFLoSf6AZoTOaaEoEYfoU84PZNpLzWfoRdIS37we48uQY6ohQY2_JrDDJvRr_Cu2uxy7Pq6T3W6Cxz_B5jFBxravcbW6u7osqMbXIT_i2OD7xaqQuGpDH7xt8WocfOwmc-ixxUub1oAXYNthgyubAN_s8gDdZ_SxsW2GL_t5hH5__3ZbLYrl6sdVdbEsPJ0rVmgHTEEjPSFCOFcKJxXxzmsCpFFKl0pwWfOyqZWeO8YaXvpmrhzzVgqmgR-h8_fc7eg6qD30Q7Kt2abQ2bQz0Qbzv9KHjVnHP0ZRLmQpp4CTfUCKTyPkwTzEMfVTZ8OmLpxJIvXkou8un2LOCZp_Hygxr7DMGyyzh2UmWPwvNLKKqg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2780327079</pqid></control><display><type>article</type><title>714 Sleep Disordered Breathing Polysomnographic Measures and COVID-19 Risk of WHO-7 Clinical Outcomes in a Large Health Care System</title><source>Oxford Journals Online</source><source>Alma/SFX Local Collection</source><creator>Pena Orbea, Cinthya ; Wang, Lu ; Shah, Vaishal ; Jehi, Lara ; Milinovich, Alex ; Foldvary-Schaefer, Nancy ; Chung, Mina ; Mashaqi, Saif ; Mehra, Reena</creator><creatorcontrib>Pena Orbea, Cinthya ; Wang, Lu ; Shah, Vaishal ; Jehi, Lara ; Milinovich, Alex ; Foldvary-Schaefer, Nancy ; Chung, Mina ; Mashaqi, Saif ; Mehra, Reena</creatorcontrib><description>Introduction There is lack of clarity of sleep disordered breathing (SDB)--including the role of nocturnal hypoxia and confounding influence of obesity--on the clinical course of human coronavirus disease 2019 (COVID-19). We postulate that SDB portends increased risk of adverse COVID-19 clinical outcomes even after accounting for confounding factors. Methods A retrospective cohort analysis of COVID-19 and sleep laboratory observational registries March-November 2020 within the Cleveland Clinic health system was performed. Ordinal logistic regression assessed the association of SDB indices and World Health Organization (WHO)-7 COVID-19 clinical outcome (hospitalization, use of supplemental oxygen, non-invasive ventilation, mechanical ventilation/ECMO and death) in an unadjusted model and adjusted for age, sex, race, body mass index(BMI,kg/m2),diabetes mellitus, hypertension, coronary artery disease, heart failure, asthma, chronic obstructive pulmonary disease (COPD), cancer and smoking using SAS software. Results Of 19,449 (32%) patients positive for SARS-CoV-2,2,290 (6%) had an available sleep study. The analytic sample included 1788 of which 1,484(64%) had an apnea hypopnea index (AHI, 3–4% hypopnea oxygen desaturation)≥5. The median duration from sleep study to COVID test was 5.8 years (IQR:3.3–9.0). Age was 56.5±14.4 years,50.4% female,28% African American with BMI=35.9±8.9kg/m2. Nine percent of patients were hospitalized,10% with supplemental oxygen,6% used non-invasive ventilation,2% required ECMO or mechanical ventilation and 2% died. For every AHI increase of 5, the odds of a higher WHO-7 level increased 2% (OR=1.02,95%CI1.01-1.04,p=0.005),but the association was mitigated in the adjusted model (OR=1.00,95%CI:0.98,1.02,p=0.80). Per 5% increase in time spent with SaO2<90%, the odds of a higher WHO-7 level increased 10% (OR=1.10,95%CI1.06-1.13,p=<0.001) persisting in the adjusted model(OR=1.06,95%CI:1.02–1.10,p=0.002). For every decrease of 5% mean SaO2, the odds of a higher level WHO-7 increased 56% (OR=0.56,95%CI:0.46–0.67,p<0.001) persisting in the adjusted model(OR=0.72,95%CI:0.58–0.89,p=0.003). Conclusion Even after adjustment for obesity, underlying cardiopulmonary disease and smoking, sleep-related hypoxemia was a potential key pathophysiologic mechanism associated with increased morbidity and mortality in COVID-19. Elucidation of sleep-related hypoxemia as a risk stratification measure, particularly given the silent hypoxia inherent to early COVID-19, is critical for future investigation, as is the role of sleep-related hypoxia reversal as a target to improve COVID-19 outcomes. Support (if any) Cleveland Clinic Neurologic Institute Resource Development Award</description><identifier>ISSN: 0161-8105</identifier><identifier>EISSN: 1550-9109</identifier><identifier>DOI: 10.1093/sleep/zsab072.712</identifier><language>eng</language><publisher>Westchester: Oxford University Press</publisher><subject>B. Clinical Sleep Science and Practice ; Body mass index ; Cardiovascular disease ; Chronic obstructive pulmonary disease ; Clinical outcomes ; Coronaviruses ; COVID-19 ; Hypoxemia ; Hypoxia ; Severe acute respiratory syndrome coronavirus 2 ; Sleep ; Sleep disorders</subject><ispartof>Sleep (New York, N.Y.), 2021-05, Vol.44 (Supplement_2), p.A278-A279</ispartof><rights>Sleep Research Society 2021. Published by Oxford University Press on behalf of the Sleep Research Society. All rights reserved. For permissions, please e-mail journals.permissions@oup.com.</rights><rights>Sleep Research Society 2021. Published by Oxford University Press on behalf of the Sleep Research Society. All rights reserved. For permissions, please e-mail journals.permissions@oup.com. 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27901,27902</link.rule.ids></links><search><creatorcontrib>Pena Orbea, Cinthya</creatorcontrib><creatorcontrib>Wang, Lu</creatorcontrib><creatorcontrib>Shah, Vaishal</creatorcontrib><creatorcontrib>Jehi, Lara</creatorcontrib><creatorcontrib>Milinovich, Alex</creatorcontrib><creatorcontrib>Foldvary-Schaefer, Nancy</creatorcontrib><creatorcontrib>Chung, Mina</creatorcontrib><creatorcontrib>Mashaqi, Saif</creatorcontrib><creatorcontrib>Mehra, Reena</creatorcontrib><title>714 Sleep Disordered Breathing Polysomnographic Measures and COVID-19 Risk of WHO-7 Clinical Outcomes in a Large Health Care System</title><title>Sleep (New York, N.Y.)</title><description>Introduction There is lack of clarity of sleep disordered breathing (SDB)--including the role of nocturnal hypoxia and confounding influence of obesity--on the clinical course of human coronavirus disease 2019 (COVID-19). We postulate that SDB portends increased risk of adverse COVID-19 clinical outcomes even after accounting for confounding factors. Methods A retrospective cohort analysis of COVID-19 and sleep laboratory observational registries March-November 2020 within the Cleveland Clinic health system was performed. Ordinal logistic regression assessed the association of SDB indices and World Health Organization (WHO)-7 COVID-19 clinical outcome (hospitalization, use of supplemental oxygen, non-invasive ventilation, mechanical ventilation/ECMO and death) in an unadjusted model and adjusted for age, sex, race, body mass index(BMI,kg/m2),diabetes mellitus, hypertension, coronary artery disease, heart failure, asthma, chronic obstructive pulmonary disease (COPD), cancer and smoking using SAS software. Results Of 19,449 (32%) patients positive for SARS-CoV-2,2,290 (6%) had an available sleep study. The analytic sample included 1788 of which 1,484(64%) had an apnea hypopnea index (AHI, 3–4% hypopnea oxygen desaturation)≥5. The median duration from sleep study to COVID test was 5.8 years (IQR:3.3–9.0). Age was 56.5±14.4 years,50.4% female,28% African American with BMI=35.9±8.9kg/m2. Nine percent of patients were hospitalized,10% with supplemental oxygen,6% used non-invasive ventilation,2% required ECMO or mechanical ventilation and 2% died. For every AHI increase of 5, the odds of a higher WHO-7 level increased 2% (OR=1.02,95%CI1.01-1.04,p=0.005),but the association was mitigated in the adjusted model (OR=1.00,95%CI:0.98,1.02,p=0.80). Per 5% increase in time spent with SaO2<90%, the odds of a higher WHO-7 level increased 10% (OR=1.10,95%CI1.06-1.13,p=<0.001) persisting in the adjusted model(OR=1.06,95%CI:1.02–1.10,p=0.002). For every decrease of 5% mean SaO2, the odds of a higher level WHO-7 increased 56% (OR=0.56,95%CI:0.46–0.67,p<0.001) persisting in the adjusted model(OR=0.72,95%CI:0.58–0.89,p=0.003). Conclusion Even after adjustment for obesity, underlying cardiopulmonary disease and smoking, sleep-related hypoxemia was a potential key pathophysiologic mechanism associated with increased morbidity and mortality in COVID-19. Elucidation of sleep-related hypoxemia as a risk stratification measure, particularly given the silent hypoxia inherent to early COVID-19, is critical for future investigation, as is the role of sleep-related hypoxia reversal as a target to improve COVID-19 outcomes. Support (if any) Cleveland Clinic Neurologic Institute Resource Development Award</description><subject>B. Clinical Sleep Science and Practice</subject><subject>Body mass index</subject><subject>Cardiovascular disease</subject><subject>Chronic obstructive pulmonary disease</subject><subject>Clinical outcomes</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>Hypoxemia</subject><subject>Hypoxia</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>Sleep</subject><subject>Sleep disorders</subject><issn>0161-8105</issn><issn>1550-9109</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNpVkU9P3DAQxS3USmxpPwA3S5wD_hOv7QsSDW0XaautgMLRsp3JriGJFzuptFz54g2wqtTTaPTevHnSD6FjSk4p0fwstwDbs-dsHZHsVFJ2gGZUCFLoSf6AZoTOaaEoEYfoU84PZNpLzWfoRdIS37we48uQY6ohQY2_JrDDJvRr_Cu2uxy7Pq6T3W6Cxz_B5jFBxravcbW6u7osqMbXIT_i2OD7xaqQuGpDH7xt8WocfOwmc-ixxUub1oAXYNthgyubAN_s8gDdZ_SxsW2GL_t5hH5__3ZbLYrl6sdVdbEsPJ0rVmgHTEEjPSFCOFcKJxXxzmsCpFFKl0pwWfOyqZWeO8YaXvpmrhzzVgqmgR-h8_fc7eg6qD30Q7Kt2abQ2bQz0Qbzv9KHjVnHP0ZRLmQpp4CTfUCKTyPkwTzEMfVTZ8OmLpxJIvXkou8un2LOCZp_Hygxr7DMGyyzh2UmWPwvNLKKqg</recordid><startdate>20210503</startdate><enddate>20210503</enddate><creator>Pena Orbea, Cinthya</creator><creator>Wang, Lu</creator><creator>Shah, Vaishal</creator><creator>Jehi, Lara</creator><creator>Milinovich, Alex</creator><creator>Foldvary-Schaefer, Nancy</creator><creator>Chung, Mina</creator><creator>Mashaqi, Saif</creator><creator>Mehra, Reena</creator><general>Oxford University Press</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M2O</scope><scope>MBDVC</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PJZUB</scope><scope>PKEHL</scope><scope>PPXIY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>5PM</scope></search><sort><creationdate>20210503</creationdate><title>714 Sleep Disordered Breathing Polysomnographic Measures and COVID-19 Risk of WHO-7 Clinical Outcomes in a Large Health Care System</title><author>Pena Orbea, Cinthya ; Wang, Lu ; Shah, Vaishal ; Jehi, Lara ; Milinovich, Alex ; Foldvary-Schaefer, Nancy ; Chung, Mina ; Mashaqi, Saif ; Mehra, Reena</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1682-9be28ef7c0055bb45b780cbc90e0f88948537d34fd896b22f34cf68b2ca7529e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>B. Clinical Sleep Science and Practice</topic><topic>Body mass index</topic><topic>Cardiovascular disease</topic><topic>Chronic obstructive pulmonary disease</topic><topic>Clinical outcomes</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>Hypoxemia</topic><topic>Hypoxia</topic><topic>Severe acute respiratory syndrome coronavirus 2</topic><topic>Sleep</topic><topic>Sleep disorders</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pena Orbea, Cinthya</creatorcontrib><creatorcontrib>Wang, Lu</creatorcontrib><creatorcontrib>Shah, Vaishal</creatorcontrib><creatorcontrib>Jehi, Lara</creatorcontrib><creatorcontrib>Milinovich, Alex</creatorcontrib><creatorcontrib>Foldvary-Schaefer, Nancy</creatorcontrib><creatorcontrib>Chung, Mina</creatorcontrib><creatorcontrib>Mashaqi, Saif</creatorcontrib><creatorcontrib>Mehra, Reena</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health Medical collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Psychology Database (ProQuest)</collection><collection>ProQuest research library</collection><collection>Research Library (Corporate)</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>ProQuest Health & Medical Research Collection</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Health & Nursing</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Sleep (New York, N.Y.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pena Orbea, Cinthya</au><au>Wang, Lu</au><au>Shah, Vaishal</au><au>Jehi, Lara</au><au>Milinovich, Alex</au><au>Foldvary-Schaefer, Nancy</au><au>Chung, Mina</au><au>Mashaqi, Saif</au><au>Mehra, Reena</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>714 Sleep Disordered Breathing Polysomnographic Measures and COVID-19 Risk of WHO-7 Clinical Outcomes in a Large Health Care System</atitle><jtitle>Sleep (New York, N.Y.)</jtitle><date>2021-05-03</date><risdate>2021</risdate><volume>44</volume><issue>Supplement_2</issue><spage>A278</spage><epage>A279</epage><pages>A278-A279</pages><issn>0161-8105</issn><eissn>1550-9109</eissn><abstract>Introduction There is lack of clarity of sleep disordered breathing (SDB)--including the role of nocturnal hypoxia and confounding influence of obesity--on the clinical course of human coronavirus disease 2019 (COVID-19). We postulate that SDB portends increased risk of adverse COVID-19 clinical outcomes even after accounting for confounding factors. Methods A retrospective cohort analysis of COVID-19 and sleep laboratory observational registries March-November 2020 within the Cleveland Clinic health system was performed. Ordinal logistic regression assessed the association of SDB indices and World Health Organization (WHO)-7 COVID-19 clinical outcome (hospitalization, use of supplemental oxygen, non-invasive ventilation, mechanical ventilation/ECMO and death) in an unadjusted model and adjusted for age, sex, race, body mass index(BMI,kg/m2),diabetes mellitus, hypertension, coronary artery disease, heart failure, asthma, chronic obstructive pulmonary disease (COPD), cancer and smoking using SAS software. Results Of 19,449 (32%) patients positive for SARS-CoV-2,2,290 (6%) had an available sleep study. The analytic sample included 1788 of which 1,484(64%) had an apnea hypopnea index (AHI, 3–4% hypopnea oxygen desaturation)≥5. The median duration from sleep study to COVID test was 5.8 years (IQR:3.3–9.0). Age was 56.5±14.4 years,50.4% female,28% African American with BMI=35.9±8.9kg/m2. Nine percent of patients were hospitalized,10% with supplemental oxygen,6% used non-invasive ventilation,2% required ECMO or mechanical ventilation and 2% died. For every AHI increase of 5, the odds of a higher WHO-7 level increased 2% (OR=1.02,95%CI1.01-1.04,p=0.005),but the association was mitigated in the adjusted model (OR=1.00,95%CI:0.98,1.02,p=0.80). Per 5% increase in time spent with SaO2<90%, the odds of a higher WHO-7 level increased 10% (OR=1.10,95%CI1.06-1.13,p=<0.001) persisting in the adjusted model(OR=1.06,95%CI:1.02–1.10,p=0.002). For every decrease of 5% mean SaO2, the odds of a higher level WHO-7 increased 56% (OR=0.56,95%CI:0.46–0.67,p<0.001) persisting in the adjusted model(OR=0.72,95%CI:0.58–0.89,p=0.003). Conclusion Even after adjustment for obesity, underlying cardiopulmonary disease and smoking, sleep-related hypoxemia was a potential key pathophysiologic mechanism associated with increased morbidity and mortality in COVID-19. Elucidation of sleep-related hypoxemia as a risk stratification measure, particularly given the silent hypoxia inherent to early COVID-19, is critical for future investigation, as is the role of sleep-related hypoxia reversal as a target to improve COVID-19 outcomes. Support (if any) Cleveland Clinic Neurologic Institute Resource Development Award</abstract><cop>Westchester</cop><pub>Oxford University Press</pub><doi>10.1093/sleep/zsab072.712</doi><oa>free_for_read</oa></addata></record> |
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subjects | B. Clinical Sleep Science and Practice Body mass index Cardiovascular disease Chronic obstructive pulmonary disease Clinical outcomes Coronaviruses COVID-19 Hypoxemia Hypoxia Severe acute respiratory syndrome coronavirus 2 Sleep Sleep disorders |
title | 714 Sleep Disordered Breathing Polysomnographic Measures and COVID-19 Risk of WHO-7 Clinical Outcomes in a Large Health Care System |
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