Validation of an obstructive sleep apnea symptom inventory in persons with multiple sclerosis
Background: Improved screening for obstructive sleep apnea (OSA) could enhance multiple sclerosis (MS) clinical care; yet the utility of current screening tools for OSA have yet to be evaluated in persons with multiple sclerosis (PwMS). Objectives: The STOP-Bang Questionnnaire is an 8-item screening...
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| Veröffentlicht in: | Multiple sclerosis 2022-02, Vol.28 (2), p.280-288 |
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| container_title | Multiple sclerosis |
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| creator | Singh, Mini Gavidia, Ronald Dunietz, Galit Levi Washnock-Schmid, Elizabeth Romeo, Andrew R Hershner, Shelley Chervin, Ronald D Braley, Tiffany J |
| description | Background:
Improved screening for obstructive sleep apnea (OSA) could enhance multiple sclerosis (MS) clinical care; yet the utility of current screening tools for OSA have yet to be evaluated in persons with multiple sclerosis (PwMS).
Objectives:
The STOP-Bang Questionnnaire is an 8-item screening tool for OSA that is commonly used in non-MS samples. The aim of this study was to assess the validity of the STOP-Bang in PwMS.
Methods:
STOP-Bang and polysomnography data were analyzed from n = 200 PwMS. Sensitivity, specificity, positive-, and negative-predictive value (PPV and NPV) were calculated, with receiving operating characteristic (ROC) curves, for each STOP-Bang threshold score, against polysomnography-confirmed OSA diagnosis at three apnea severity thresholds (mild, moderate, and severe).
Results:
Nearly 70% had a STOP-Bang score of ⩾3% and 78% had OSA. The STOP-Bang at a threshold score of 3 provided sensitivities of 87% and 91% to detect moderate and severe OSA, respectively; and NPV of 84% and 95% to identify PwMS without moderate or severe OSA, respectively. Sensitivity to detect milder forms of OSA was 76%. The NPV to identify persons without milder forms of OSA was 40%.
Conclusion:
The STOP-Bang Questionnaire is an effective tool to screen for moderate and severe OSA in PwMS, but may be insufficient to exclude mild OSA. |
| doi_str_mv | 10.1177/13524585211013014 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8627523</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sage_id>10.1177_13524585211013014</sage_id><sourcerecordid>2623273143</sourcerecordid><originalsourceid>FETCH-LOGICAL-c466t-9f906c5083a4872a7502753aa1ffc9772abdc97fc23ffa4e8010a6d2358cfea13</originalsourceid><addsrcrecordid>eNp1UctqHDEQFCbG7w_IJQhyyWVsPUczl0AwiR0w-GL7FkSvVrJlNKOJpNmwfx8t69hxTC7djbqquluF0HtKTilV6oxyyYTsJKOUUE6o2EEHVCjVkF6Rd7Wu_WYD2EeHOT8SQpTicg_tc0FEx0l3gH7cQfBLKD6OODoMNS5ySbMpfmVxDtZOGKbRAs7rYSpxwH5c2bHEtK4VnmzKccz4ly8PeJhD8VOoNBNsitnnY7TrIGR78pSP0O23rzfnl83V9cX38y9XjRFtW5re9aQ1knQcRKcYKEmYkhyAOmd6VV8Wy5qdYdw5ELYjlEC7ZFx2xlmg_Ah93upO82KwS1MXTBD0lPwAaa0jeP26M_oHfR9XumvrIMarwKcngRR_zjYXPfhsbAgw2jhnzSQXLe1rqNCP_0Af45zGep5mLeNMcSo2gnSLMvUjcrLueRlK9MY8_ca8yvnw9xXPjD9uVcDpFpDh3r6M_b_ibwnGo4c</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2623273143</pqid></control><display><type>article</type><title>Validation of an obstructive sleep apnea symptom inventory in persons with multiple sclerosis</title><source>MEDLINE</source><source>SAGE Complete A-Z List</source><creator>Singh, Mini ; Gavidia, Ronald ; Dunietz, Galit Levi ; Washnock-Schmid, Elizabeth ; Romeo, Andrew R ; Hershner, Shelley ; Chervin, Ronald D ; Braley, Tiffany J</creator><creatorcontrib>Singh, Mini ; Gavidia, Ronald ; Dunietz, Galit Levi ; Washnock-Schmid, Elizabeth ; Romeo, Andrew R ; Hershner, Shelley ; Chervin, Ronald D ; Braley, Tiffany J</creatorcontrib><description>Background:
Improved screening for obstructive sleep apnea (OSA) could enhance multiple sclerosis (MS) clinical care; yet the utility of current screening tools for OSA have yet to be evaluated in persons with multiple sclerosis (PwMS).
Objectives:
The STOP-Bang Questionnnaire is an 8-item screening tool for OSA that is commonly used in non-MS samples. The aim of this study was to assess the validity of the STOP-Bang in PwMS.
Methods:
STOP-Bang and polysomnography data were analyzed from n = 200 PwMS. Sensitivity, specificity, positive-, and negative-predictive value (PPV and NPV) were calculated, with receiving operating characteristic (ROC) curves, for each STOP-Bang threshold score, against polysomnography-confirmed OSA diagnosis at three apnea severity thresholds (mild, moderate, and severe).
Results:
Nearly 70% had a STOP-Bang score of ⩾3% and 78% had OSA. The STOP-Bang at a threshold score of 3 provided sensitivities of 87% and 91% to detect moderate and severe OSA, respectively; and NPV of 84% and 95% to identify PwMS without moderate or severe OSA, respectively. Sensitivity to detect milder forms of OSA was 76%. The NPV to identify persons without milder forms of OSA was 40%.
Conclusion:
The STOP-Bang Questionnaire is an effective tool to screen for moderate and severe OSA in PwMS, but may be insufficient to exclude mild OSA.</description><identifier>ISSN: 1352-4585</identifier><identifier>EISSN: 1477-0970</identifier><identifier>DOI: 10.1177/13524585211013014</identifier><identifier>PMID: 34048308</identifier><language>eng</language><publisher>London, England: SAGE Publications</publisher><subject>Apnea ; Humans ; Mass Screening ; Multiple sclerosis ; Multiple Sclerosis - complications ; Multiple Sclerosis - diagnosis ; Polysomnography ; Sleep ; Sleep apnea ; Sleep Apnea, Obstructive - diagnosis ; Sleep disorders ; Surveys and Questionnaires</subject><ispartof>Multiple sclerosis, 2022-02, Vol.28 (2), p.280-288</ispartof><rights>The Author(s), 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c466t-9f906c5083a4872a7502753aa1ffc9772abdc97fc23ffa4e8010a6d2358cfea13</citedby><cites>FETCH-LOGICAL-c466t-9f906c5083a4872a7502753aa1ffc9772abdc97fc23ffa4e8010a6d2358cfea13</cites><orcidid>0000-0003-0680-7828 ; 0000-0002-2090-693X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.1177/13524585211013014$$EPDF$$P50$$Gsage$$H</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.1177/13524585211013014$$EHTML$$P50$$Gsage$$H</linktohtml><link.rule.ids>230,314,778,782,883,21806,27911,27912,43608,43609</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34048308$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Singh, Mini</creatorcontrib><creatorcontrib>Gavidia, Ronald</creatorcontrib><creatorcontrib>Dunietz, Galit Levi</creatorcontrib><creatorcontrib>Washnock-Schmid, Elizabeth</creatorcontrib><creatorcontrib>Romeo, Andrew R</creatorcontrib><creatorcontrib>Hershner, Shelley</creatorcontrib><creatorcontrib>Chervin, Ronald D</creatorcontrib><creatorcontrib>Braley, Tiffany J</creatorcontrib><title>Validation of an obstructive sleep apnea symptom inventory in persons with multiple sclerosis</title><title>Multiple sclerosis</title><addtitle>Mult Scler</addtitle><description>Background:
Improved screening for obstructive sleep apnea (OSA) could enhance multiple sclerosis (MS) clinical care; yet the utility of current screening tools for OSA have yet to be evaluated in persons with multiple sclerosis (PwMS).
Objectives:
The STOP-Bang Questionnnaire is an 8-item screening tool for OSA that is commonly used in non-MS samples. The aim of this study was to assess the validity of the STOP-Bang in PwMS.
Methods:
STOP-Bang and polysomnography data were analyzed from n = 200 PwMS. Sensitivity, specificity, positive-, and negative-predictive value (PPV and NPV) were calculated, with receiving operating characteristic (ROC) curves, for each STOP-Bang threshold score, against polysomnography-confirmed OSA diagnosis at three apnea severity thresholds (mild, moderate, and severe).
Results:
Nearly 70% had a STOP-Bang score of ⩾3% and 78% had OSA. The STOP-Bang at a threshold score of 3 provided sensitivities of 87% and 91% to detect moderate and severe OSA, respectively; and NPV of 84% and 95% to identify PwMS without moderate or severe OSA, respectively. Sensitivity to detect milder forms of OSA was 76%. The NPV to identify persons without milder forms of OSA was 40%.
Conclusion:
The STOP-Bang Questionnaire is an effective tool to screen for moderate and severe OSA in PwMS, but may be insufficient to exclude mild OSA.</description><subject>Apnea</subject><subject>Humans</subject><subject>Mass Screening</subject><subject>Multiple sclerosis</subject><subject>Multiple Sclerosis - complications</subject><subject>Multiple Sclerosis - diagnosis</subject><subject>Polysomnography</subject><subject>Sleep</subject><subject>Sleep apnea</subject><subject>Sleep Apnea, Obstructive - diagnosis</subject><subject>Sleep disorders</subject><subject>Surveys and Questionnaires</subject><issn>1352-4585</issn><issn>1477-0970</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1UctqHDEQFCbG7w_IJQhyyWVsPUczl0AwiR0w-GL7FkSvVrJlNKOJpNmwfx8t69hxTC7djbqquluF0HtKTilV6oxyyYTsJKOUUE6o2EEHVCjVkF6Rd7Wu_WYD2EeHOT8SQpTicg_tc0FEx0l3gH7cQfBLKD6OODoMNS5ySbMpfmVxDtZOGKbRAs7rYSpxwH5c2bHEtK4VnmzKccz4ly8PeJhD8VOoNBNsitnnY7TrIGR78pSP0O23rzfnl83V9cX38y9XjRFtW5re9aQ1knQcRKcYKEmYkhyAOmd6VV8Wy5qdYdw5ELYjlEC7ZFx2xlmg_Ah93upO82KwS1MXTBD0lPwAaa0jeP26M_oHfR9XumvrIMarwKcngRR_zjYXPfhsbAgw2jhnzSQXLe1rqNCP_0Af45zGep5mLeNMcSo2gnSLMvUjcrLueRlK9MY8_ca8yvnw9xXPjD9uVcDpFpDh3r6M_b_ibwnGo4c</recordid><startdate>20220201</startdate><enddate>20220201</enddate><creator>Singh, Mini</creator><creator>Gavidia, Ronald</creator><creator>Dunietz, Galit Levi</creator><creator>Washnock-Schmid, Elizabeth</creator><creator>Romeo, Andrew R</creator><creator>Hershner, Shelley</creator><creator>Chervin, Ronald D</creator><creator>Braley, Tiffany J</creator><general>SAGE Publications</general><general>Sage Publications Ltd</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>7T5</scope><scope>7TK</scope><scope>7U9</scope><scope>H94</scope><scope>K9.</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-0680-7828</orcidid><orcidid>https://orcid.org/0000-0002-2090-693X</orcidid></search><sort><creationdate>20220201</creationdate><title>Validation of an obstructive sleep apnea symptom inventory in persons with multiple sclerosis</title><author>Singh, Mini ; Gavidia, Ronald ; Dunietz, Galit Levi ; Washnock-Schmid, Elizabeth ; Romeo, Andrew R ; Hershner, Shelley ; Chervin, Ronald D ; Braley, Tiffany J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c466t-9f906c5083a4872a7502753aa1ffc9772abdc97fc23ffa4e8010a6d2358cfea13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Apnea</topic><topic>Humans</topic><topic>Mass Screening</topic><topic>Multiple sclerosis</topic><topic>Multiple Sclerosis - complications</topic><topic>Multiple Sclerosis - diagnosis</topic><topic>Polysomnography</topic><topic>Sleep</topic><topic>Sleep apnea</topic><topic>Sleep Apnea, Obstructive - diagnosis</topic><topic>Sleep disorders</topic><topic>Surveys and Questionnaires</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Singh, Mini</creatorcontrib><creatorcontrib>Gavidia, Ronald</creatorcontrib><creatorcontrib>Dunietz, Galit Levi</creatorcontrib><creatorcontrib>Washnock-Schmid, Elizabeth</creatorcontrib><creatorcontrib>Romeo, Andrew R</creatorcontrib><creatorcontrib>Hershner, Shelley</creatorcontrib><creatorcontrib>Chervin, Ronald D</creatorcontrib><creatorcontrib>Braley, Tiffany J</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Immunology Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Multiple sclerosis</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Singh, Mini</au><au>Gavidia, Ronald</au><au>Dunietz, Galit Levi</au><au>Washnock-Schmid, Elizabeth</au><au>Romeo, Andrew R</au><au>Hershner, Shelley</au><au>Chervin, Ronald D</au><au>Braley, Tiffany J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Validation of an obstructive sleep apnea symptom inventory in persons with multiple sclerosis</atitle><jtitle>Multiple sclerosis</jtitle><addtitle>Mult Scler</addtitle><date>2022-02-01</date><risdate>2022</risdate><volume>28</volume><issue>2</issue><spage>280</spage><epage>288</epage><pages>280-288</pages><issn>1352-4585</issn><eissn>1477-0970</eissn><abstract>Background:
Improved screening for obstructive sleep apnea (OSA) could enhance multiple sclerosis (MS) clinical care; yet the utility of current screening tools for OSA have yet to be evaluated in persons with multiple sclerosis (PwMS).
Objectives:
The STOP-Bang Questionnnaire is an 8-item screening tool for OSA that is commonly used in non-MS samples. The aim of this study was to assess the validity of the STOP-Bang in PwMS.
Methods:
STOP-Bang and polysomnography data were analyzed from n = 200 PwMS. Sensitivity, specificity, positive-, and negative-predictive value (PPV and NPV) were calculated, with receiving operating characteristic (ROC) curves, for each STOP-Bang threshold score, against polysomnography-confirmed OSA diagnosis at three apnea severity thresholds (mild, moderate, and severe).
Results:
Nearly 70% had a STOP-Bang score of ⩾3% and 78% had OSA. The STOP-Bang at a threshold score of 3 provided sensitivities of 87% and 91% to detect moderate and severe OSA, respectively; and NPV of 84% and 95% to identify PwMS without moderate or severe OSA, respectively. Sensitivity to detect milder forms of OSA was 76%. The NPV to identify persons without milder forms of OSA was 40%.
Conclusion:
The STOP-Bang Questionnaire is an effective tool to screen for moderate and severe OSA in PwMS, but may be insufficient to exclude mild OSA.</abstract><cop>London, England</cop><pub>SAGE Publications</pub><pmid>34048308</pmid><doi>10.1177/13524585211013014</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0003-0680-7828</orcidid><orcidid>https://orcid.org/0000-0002-2090-693X</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1352-4585 |
| ispartof | Multiple sclerosis, 2022-02, Vol.28 (2), p.280-288 |
| issn | 1352-4585 1477-0970 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8627523 |
| source | MEDLINE; SAGE Complete A-Z List |
| subjects | Apnea Humans Mass Screening Multiple sclerosis Multiple Sclerosis - complications Multiple Sclerosis - diagnosis Polysomnography Sleep Sleep apnea Sleep Apnea, Obstructive - diagnosis Sleep disorders Surveys and Questionnaires |
| title | Validation of an obstructive sleep apnea symptom inventory in persons with multiple sclerosis |
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