Ventilatory Burden as a Measure of Obstructive Sleep Apnea Severity Is Predictive of Cardiovascular and All-Cause Mortality
The apnea-hypopnea index (AHI), used for the diagnosis of obstructive sleep apnea, captures only the frequency of respiratory events and has demonstrable limitations. We propose a novel automated measure, termed "ventilatory burden" (VB), that represents the proportion of overnight breaths...
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Veröffentlicht in: | American journal of respiratory and critical care medicine 2023-12, Vol.208 (11), p.1216-1226 |
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creator | Parekh, Ankit Kam, Korey Wickramaratne, Sajila Tolbert, Thomas M Varga, Andrew Osorio, Ricardo Andersen, Monica de Godoy, Luciana B M Palombini, Luciana O Tufik, Sergio Ayappa, Indu Rapoport, David M |
description | The apnea-hypopnea index (AHI), used for the diagnosis of obstructive sleep apnea, captures only the frequency of respiratory events and has demonstrable limitations.
We propose a novel automated measure, termed "ventilatory burden" (VB), that represents the proportion of overnight breaths with less than 50% normalized amplitude, and we show its ability to overcome limitations of AHI.
Data from two epidemiological cohorts (EPISONO [Sao Paolo Epidemiological Study] and SHHS [Sleep Heart Health Study]) and two retrospective clinical cohorts (DAYFUN; New York University Center for Brain Health) were used in this study to
) derive the normative range of VB,
) assess the relationship between degree of upper airway obstruction and VB, and
) assess the relationship between VB and all-cause and cardiovascular disease (CVD) mortality with and without hypoxic burden that was derived using an in-house automated algorithm.
The 95th percentiles of VB in asymptomatic healthy subjects across the EPISONO and the DAYFUN cohorts were 25.2% and 26.7%, respectively (median [interquartile range], VB
, 5.5 [3.5-9.7]%; VB
, 9.8 [6.4-15.6]%). VB was associated with the degree of upper airway obstruction in a dose-response manner (VB
, 31.6 [27.1]%; VB
, 7.2 [4.7]%; VB
, 17.6 [18.7]%; VB
, 41.6 [18.1]%) and exhibited low night-to-night variability (intraclass correlation coefficient [2,1], 0.89). VB was predictive of all-cause and CVD mortality in the SHHS cohort before and after adjusting for covariates including hypoxic burden. Although AHI was predictive of all-cause mortality, it was not associated with CVD mortality in the SHHS cohort.
Automated VB can effectively assess obstructive sleep apnea severity, is predictive of all-cause and CVD mortality, and may be a viable alternative to the AHI. |
doi_str_mv | 10.1164/rccm.202301-0109OC |
format | Article |
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We propose a novel automated measure, termed "ventilatory burden" (VB), that represents the proportion of overnight breaths with less than 50% normalized amplitude, and we show its ability to overcome limitations of AHI.
Data from two epidemiological cohorts (EPISONO [Sao Paolo Epidemiological Study] and SHHS [Sleep Heart Health Study]) and two retrospective clinical cohorts (DAYFUN; New York University Center for Brain Health) were used in this study to
) derive the normative range of VB,
) assess the relationship between degree of upper airway obstruction and VB, and
) assess the relationship between VB and all-cause and cardiovascular disease (CVD) mortality with and without hypoxic burden that was derived using an in-house automated algorithm.
The 95th percentiles of VB in asymptomatic healthy subjects across the EPISONO and the DAYFUN cohorts were 25.2% and 26.7%, respectively (median [interquartile range], VB
, 5.5 [3.5-9.7]%; VB
, 9.8 [6.4-15.6]%). VB was associated with the degree of upper airway obstruction in a dose-response manner (VB
, 31.6 [27.1]%; VB
, 7.2 [4.7]%; VB
, 17.6 [18.7]%; VB
, 41.6 [18.1]%) and exhibited low night-to-night variability (intraclass correlation coefficient [2,1], 0.89). VB was predictive of all-cause and CVD mortality in the SHHS cohort before and after adjusting for covariates including hypoxic burden. Although AHI was predictive of all-cause mortality, it was not associated with CVD mortality in the SHHS cohort.
Automated VB can effectively assess obstructive sleep apnea severity, is predictive of all-cause and CVD mortality, and may be a viable alternative to the AHI.</description><identifier>ISSN: 1073-449X</identifier><identifier>ISSN: 1535-4970</identifier><identifier>EISSN: 1535-4970</identifier><identifier>DOI: 10.1164/rccm.202301-0109OC</identifier><identifier>PMID: 37698405</identifier><language>eng</language><publisher>United States: American Thoracic Society</publisher><subject>Airway management ; Airway Obstruction - complications ; Cardiovascular disease ; Cardiovascular Diseases ; Humans ; Hypoxia - complications ; Mortality ; Original ; Pathophysiology ; Retrospective Studies ; Sleep ; Sleep apnea ; Sleep Apnea, Obstructive</subject><ispartof>American journal of respiratory and critical care medicine, 2023-12, Vol.208 (11), p.1216-1226</ispartof><rights>Copyright American Thoracic Society Dec 1, 2023</rights><rights>Copyright © 2023 by the American Thoracic Society 2023</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c387t-b1afae8d820b9d3e750fc077d50850ed5f8b6d1e2a3682105b91e9fe30a620ee3</citedby><cites>FETCH-LOGICAL-c387t-b1afae8d820b9d3e750fc077d50850ed5f8b6d1e2a3682105b91e9fe30a620ee3</cites><orcidid>0000-0002-5396-0553</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,4025,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37698405$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Parekh, Ankit</creatorcontrib><creatorcontrib>Kam, Korey</creatorcontrib><creatorcontrib>Wickramaratne, Sajila</creatorcontrib><creatorcontrib>Tolbert, Thomas M</creatorcontrib><creatorcontrib>Varga, Andrew</creatorcontrib><creatorcontrib>Osorio, Ricardo</creatorcontrib><creatorcontrib>Andersen, Monica</creatorcontrib><creatorcontrib>de Godoy, Luciana B M</creatorcontrib><creatorcontrib>Palombini, Luciana O</creatorcontrib><creatorcontrib>Tufik, Sergio</creatorcontrib><creatorcontrib>Ayappa, Indu</creatorcontrib><creatorcontrib>Rapoport, David M</creatorcontrib><title>Ventilatory Burden as a Measure of Obstructive Sleep Apnea Severity Is Predictive of Cardiovascular and All-Cause Mortality</title><title>American journal of respiratory and critical care medicine</title><addtitle>Am J Respir Crit Care Med</addtitle><description>The apnea-hypopnea index (AHI), used for the diagnosis of obstructive sleep apnea, captures only the frequency of respiratory events and has demonstrable limitations.
We propose a novel automated measure, termed "ventilatory burden" (VB), that represents the proportion of overnight breaths with less than 50% normalized amplitude, and we show its ability to overcome limitations of AHI.
Data from two epidemiological cohorts (EPISONO [Sao Paolo Epidemiological Study] and SHHS [Sleep Heart Health Study]) and two retrospective clinical cohorts (DAYFUN; New York University Center for Brain Health) were used in this study to
) derive the normative range of VB,
) assess the relationship between degree of upper airway obstruction and VB, and
) assess the relationship between VB and all-cause and cardiovascular disease (CVD) mortality with and without hypoxic burden that was derived using an in-house automated algorithm.
The 95th percentiles of VB in asymptomatic healthy subjects across the EPISONO and the DAYFUN cohorts were 25.2% and 26.7%, respectively (median [interquartile range], VB
, 5.5 [3.5-9.7]%; VB
, 9.8 [6.4-15.6]%). VB was associated with the degree of upper airway obstruction in a dose-response manner (VB
, 31.6 [27.1]%; VB
, 7.2 [4.7]%; VB
, 17.6 [18.7]%; VB
, 41.6 [18.1]%) and exhibited low night-to-night variability (intraclass correlation coefficient [2,1], 0.89). VB was predictive of all-cause and CVD mortality in the SHHS cohort before and after adjusting for covariates including hypoxic burden. Although AHI was predictive of all-cause mortality, it was not associated with CVD mortality in the SHHS cohort.
Automated VB can effectively assess obstructive sleep apnea severity, is predictive of all-cause and CVD mortality, and may be a viable alternative to the AHI.</description><subject>Airway management</subject><subject>Airway Obstruction - complications</subject><subject>Cardiovascular disease</subject><subject>Cardiovascular Diseases</subject><subject>Humans</subject><subject>Hypoxia - complications</subject><subject>Mortality</subject><subject>Original</subject><subject>Pathophysiology</subject><subject>Retrospective Studies</subject><subject>Sleep</subject><subject>Sleep apnea</subject><subject>Sleep Apnea, Obstructive</subject><issn>1073-449X</issn><issn>1535-4970</issn><issn>1535-4970</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdkU2L1TAUhosozjj6B1xIwI2bjidN0yYruRY_Bma4wqi4C6fJqXbIba5Je-HinzdDx0FdJZDnfcnLUxTPOZxz3tSvo7W78woqAbwEDnrbPShOuRSyrHULD_MdWlHWtf52UjxJ6QaAV4rD4-JEtI1WNcjT4tdXmubR4xzikb1doqOJYWLIrgjTEomFgW37NMfFzuOB2LUn2rPNfiJk13SgOM5HdpHYp0huXJGc6DC6MRww2cVjZDg5tvG-7HBJxK5CnNHn3NPi0YA-0bO786z48v7d5-5jebn9cNFtLksrVDuXPccBSTlVQa-doFbCYKFtnQQlgZwcVN84ThWKRlUcZK856YEEYFMBkTgr3qy9-6XfkbN5cURv9nHcYTyagKP592Uaf5jv4WA4qEYJKXLDq7uGGH4ulGazG5Ml73GisCRTqabmUkndZPTlf-hNWOKU92VKt5nUTZupaqVsDClFGu5_w8HcyjW3cs0q16xyc-jF3zvuI39sit-XyKMr</recordid><startdate>20231201</startdate><enddate>20231201</enddate><creator>Parekh, Ankit</creator><creator>Kam, Korey</creator><creator>Wickramaratne, Sajila</creator><creator>Tolbert, Thomas M</creator><creator>Varga, Andrew</creator><creator>Osorio, Ricardo</creator><creator>Andersen, Monica</creator><creator>de Godoy, Luciana B M</creator><creator>Palombini, Luciana O</creator><creator>Tufik, Sergio</creator><creator>Ayappa, Indu</creator><creator>Rapoport, David M</creator><general>American Thoracic Society</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-5396-0553</orcidid></search><sort><creationdate>20231201</creationdate><title>Ventilatory Burden as a Measure of Obstructive Sleep Apnea Severity Is Predictive of Cardiovascular and All-Cause Mortality</title><author>Parekh, Ankit ; Kam, Korey ; Wickramaratne, Sajila ; Tolbert, Thomas M ; Varga, Andrew ; Osorio, Ricardo ; Andersen, Monica ; de Godoy, Luciana B M ; Palombini, Luciana O ; Tufik, Sergio ; Ayappa, Indu ; Rapoport, David M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c387t-b1afae8d820b9d3e750fc077d50850ed5f8b6d1e2a3682105b91e9fe30a620ee3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Airway management</topic><topic>Airway Obstruction - complications</topic><topic>Cardiovascular disease</topic><topic>Cardiovascular Diseases</topic><topic>Humans</topic><topic>Hypoxia - complications</topic><topic>Mortality</topic><topic>Original</topic><topic>Pathophysiology</topic><topic>Retrospective Studies</topic><topic>Sleep</topic><topic>Sleep apnea</topic><topic>Sleep Apnea, Obstructive</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Parekh, Ankit</creatorcontrib><creatorcontrib>Kam, Korey</creatorcontrib><creatorcontrib>Wickramaratne, Sajila</creatorcontrib><creatorcontrib>Tolbert, Thomas M</creatorcontrib><creatorcontrib>Varga, Andrew</creatorcontrib><creatorcontrib>Osorio, Ricardo</creatorcontrib><creatorcontrib>Andersen, Monica</creatorcontrib><creatorcontrib>de Godoy, Luciana B M</creatorcontrib><creatorcontrib>Palombini, Luciana O</creatorcontrib><creatorcontrib>Tufik, Sergio</creatorcontrib><creatorcontrib>Ayappa, Indu</creatorcontrib><creatorcontrib>Rapoport, David M</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>American journal of respiratory and critical care medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Parekh, Ankit</au><au>Kam, Korey</au><au>Wickramaratne, Sajila</au><au>Tolbert, Thomas M</au><au>Varga, Andrew</au><au>Osorio, Ricardo</au><au>Andersen, Monica</au><au>de Godoy, Luciana B M</au><au>Palombini, Luciana O</au><au>Tufik, Sergio</au><au>Ayappa, Indu</au><au>Rapoport, David M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Ventilatory Burden as a Measure of Obstructive Sleep Apnea Severity Is Predictive of Cardiovascular and All-Cause Mortality</atitle><jtitle>American journal of respiratory and critical care medicine</jtitle><addtitle>Am J Respir Crit Care Med</addtitle><date>2023-12-01</date><risdate>2023</risdate><volume>208</volume><issue>11</issue><spage>1216</spage><epage>1226</epage><pages>1216-1226</pages><issn>1073-449X</issn><issn>1535-4970</issn><eissn>1535-4970</eissn><abstract>The apnea-hypopnea index (AHI), used for the diagnosis of obstructive sleep apnea, captures only the frequency of respiratory events and has demonstrable limitations.
We propose a novel automated measure, termed "ventilatory burden" (VB), that represents the proportion of overnight breaths with less than 50% normalized amplitude, and we show its ability to overcome limitations of AHI.
Data from two epidemiological cohorts (EPISONO [Sao Paolo Epidemiological Study] and SHHS [Sleep Heart Health Study]) and two retrospective clinical cohorts (DAYFUN; New York University Center for Brain Health) were used in this study to
) derive the normative range of VB,
) assess the relationship between degree of upper airway obstruction and VB, and
) assess the relationship between VB and all-cause and cardiovascular disease (CVD) mortality with and without hypoxic burden that was derived using an in-house automated algorithm.
The 95th percentiles of VB in asymptomatic healthy subjects across the EPISONO and the DAYFUN cohorts were 25.2% and 26.7%, respectively (median [interquartile range], VB
, 5.5 [3.5-9.7]%; VB
, 9.8 [6.4-15.6]%). VB was associated with the degree of upper airway obstruction in a dose-response manner (VB
, 31.6 [27.1]%; VB
, 7.2 [4.7]%; VB
, 17.6 [18.7]%; VB
, 41.6 [18.1]%) and exhibited low night-to-night variability (intraclass correlation coefficient [2,1], 0.89). VB was predictive of all-cause and CVD mortality in the SHHS cohort before and after adjusting for covariates including hypoxic burden. Although AHI was predictive of all-cause mortality, it was not associated with CVD mortality in the SHHS cohort.
Automated VB can effectively assess obstructive sleep apnea severity, is predictive of all-cause and CVD mortality, and may be a viable alternative to the AHI.</abstract><cop>United States</cop><pub>American Thoracic Society</pub><pmid>37698405</pmid><doi>10.1164/rccm.202301-0109OC</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-5396-0553</orcidid></addata></record> |
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source | MEDLINE; American Thoracic Society Journals; EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection |
subjects | Airway management Airway Obstruction - complications Cardiovascular disease Cardiovascular Diseases Humans Hypoxia - complications Mortality Original Pathophysiology Retrospective Studies Sleep Sleep apnea Sleep Apnea, Obstructive |
title | Ventilatory Burden as a Measure of Obstructive Sleep Apnea Severity Is Predictive of Cardiovascular and All-Cause Mortality |
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