Identifying the risk of obstructive sleep apnea in metabolic syndrome patients: Diagnostic accuracy of the Berlin Questionnaire
Obstructive sleep apnea (OSA) is a risk factor frequently present in patients with metabolic syndrome (MetS). Additionally, moderate and severe OSA are highly prevalent in patients with cardiac disease, as they increase the riskfor cardiovascular events by 80%. The gold standard diagnostic method fo...
Gespeichert in:
Veröffentlicht in: | PloS one 2019-05, Vol.14 (5), p.e0217058 |
---|---|
Hauptverfasser: | , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | 5 |
container_start_page | e0217058 |
container_title | PloS one |
container_volume | 14 |
creator | Cepeda, Felipe X Virmondes, Leslie Rodrigues, Sara Dutra-Marques, Akothirene C B Toschi-Dias, Edgar Ferreira-Camargo, Fernanda C Hussid, Maria Fernanda Rondon, Maria Urbana Pb Alves, Maria Janieire N N Trombetta, Ivani C |
description | Obstructive sleep apnea (OSA) is a risk factor frequently present in patients with metabolic syndrome (MetS). Additionally, moderate and severe OSA are highly prevalent in patients with cardiac disease, as they increase the riskfor cardiovascular events by 80%. The gold standard diagnostic method for OSA is overnight polysomnography (PSG), which remains unaffordable for the overall population. The aim of the present study was to evaluate whether the Berlin Questionnaire (BQ) is anuseful tool for assessing the risk of OSA in patients with MetS.
97 patients, previously untreated and recently diagnosed with MetS (National Cholesterol Education Program, Adult Treatment Panel III, ATP-III) underwent a PSG. OSA was characterized by the apnea-hypopnea index (AHI). BQ was administered before PSG and we evaluated sensitivity, specificity, positive and negative predictive values, and accuracy.
Of the 97 patients with MetS, 81 patients had OSA, with 47 (48.5%) presenting moderate and severe OSA. For all MetS with OSA (AHI≥5 events/hour), the BQ showed good sensitivity (0.65, 95% CI 0.54 to 0.76) and fair specificity (0.38, 95% CI 0.15-0.65) with a positive predictive value of 0.84, a negative predictive value of 0.18 and an 84% accuracy. Similarly, for moderate-to-severe OSA (AHI≥15 events/hour) we found good sensitivity (0.73, 95% CI 0.58-0.85) and fair specificity (0.40, 95% CI 0.27-0.55). Interestingly, for severe OSA (AHI≥30 events/hour), there was a very good sensitivity (0.91, 95% CI 0.72-0.99) and moderate specificity (0.42, 95% CI 0.31-0.54).
The BQ is a valid tool for screening the risk of OSA in MetS patients in general, and it is particularly useful in predicting severe OSA. |
doi_str_mv | 10.1371/journal.pone.0217058 |
format | Article |
fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_2228664555</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A586194676</galeid><doaj_id>oai_doaj_org_article_db741150037649a1b76edfcda03ef721</doaj_id><sourcerecordid>A586194676</sourcerecordid><originalsourceid>FETCH-LOGICAL-c692t-36ca103bbbdb44b47513648c37f2b4ba19730128fa34f9423d4bbccbc53fac303</originalsourceid><addsrcrecordid>eNqNk01v1DAQhiMEoqXwDxBEQkJw2MVfcZIekEr5WqlSxefVGjvOrpfEDnZSsSf-Og6bVhvUA8rBkeeZdzyvPUnyGKMlpjl-tXWDt9AsO2f1EhGco6y4kxzjkpIFJ4jePfg_Sh6EsEUoowXn95MjijEmWVYcJ79Xlba9qXfGrtN-o1Nvwo_U1amTofeD6s2VTkOjdZdCZzWkxqat7kG6xqg07GzlXavTDnoTdcJp-tbA2rrQxygoNXhQu1FulH6jfRPTPw06hp21YLx-mNyroQn60bSeJN_ev_t6_nFxcflhdX52sVC8JP2CcgUYUSllJRmTLM8w5axQNK-JZBJwmVOESVEDZXXJCK2YlEpJldEaFEX0JHm61-0aF8TkXRCEkOgIy7IsEqs9UTnYis6bFvxOODDi74bzawE-ttVoUcmcYZwhRHPOSsAy57qqVQWI6jonOGq9nqoNstWVitZ4aGai84g1G7F2V4JnpCgLHgVeTALe_Rz9Eq0JSjcNWO2G8dyUoIIVeKz17B_09u4mag2xAWNrF-uqUVScZQXHJeP5WHZ5CxW_SrdGxYdWm7g_S3g5S4hMr3_1axhCEKsvn_-fvfw-Z58fsBsNTb8JrhnGdxPmINuDyrsQvK5vTMZIjHNy7YYY50RMcxLTnhxe0E3S9WDQPyEED3I</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2228664555</pqid></control><display><type>article</type><title>Identifying the risk of obstructive sleep apnea in metabolic syndrome patients: Diagnostic accuracy of the Berlin Questionnaire</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Public Library of Science (PLoS) Journals Open Access</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Cepeda, Felipe X ; Virmondes, Leslie ; Rodrigues, Sara ; Dutra-Marques, Akothirene C B ; Toschi-Dias, Edgar ; Ferreira-Camargo, Fernanda C ; Hussid, Maria Fernanda ; Rondon, Maria Urbana Pb ; Alves, Maria Janieire N N ; Trombetta, Ivani C</creator><contributor>Doering, Stephan</contributor><creatorcontrib>Cepeda, Felipe X ; Virmondes, Leslie ; Rodrigues, Sara ; Dutra-Marques, Akothirene C B ; Toschi-Dias, Edgar ; Ferreira-Camargo, Fernanda C ; Hussid, Maria Fernanda ; Rondon, Maria Urbana Pb ; Alves, Maria Janieire N N ; Trombetta, Ivani C ; Doering, Stephan</creatorcontrib><description>Obstructive sleep apnea (OSA) is a risk factor frequently present in patients with metabolic syndrome (MetS). Additionally, moderate and severe OSA are highly prevalent in patients with cardiac disease, as they increase the riskfor cardiovascular events by 80%. The gold standard diagnostic method for OSA is overnight polysomnography (PSG), which remains unaffordable for the overall population. The aim of the present study was to evaluate whether the Berlin Questionnaire (BQ) is anuseful tool for assessing the risk of OSA in patients with MetS.
97 patients, previously untreated and recently diagnosed with MetS (National Cholesterol Education Program, Adult Treatment Panel III, ATP-III) underwent a PSG. OSA was characterized by the apnea-hypopnea index (AHI). BQ was administered before PSG and we evaluated sensitivity, specificity, positive and negative predictive values, and accuracy.
Of the 97 patients with MetS, 81 patients had OSA, with 47 (48.5%) presenting moderate and severe OSA. For all MetS with OSA (AHI≥5 events/hour), the BQ showed good sensitivity (0.65, 95% CI 0.54 to 0.76) and fair specificity (0.38, 95% CI 0.15-0.65) with a positive predictive value of 0.84, a negative predictive value of 0.18 and an 84% accuracy. Similarly, for moderate-to-severe OSA (AHI≥15 events/hour) we found good sensitivity (0.73, 95% CI 0.58-0.85) and fair specificity (0.40, 95% CI 0.27-0.55). Interestingly, for severe OSA (AHI≥30 events/hour), there was a very good sensitivity (0.91, 95% CI 0.72-0.99) and moderate specificity (0.42, 95% CI 0.31-0.54).
The BQ is a valid tool for screening the risk of OSA in MetS patients in general, and it is particularly useful in predicting severe OSA.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0217058</identifier><identifier>PMID: 31112558</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Accuracy ; Adult ; Aged ; Apnea ; Blood pressure ; Cardiovascular diseases ; Cardiovascular Diseases - complications ; Cholesterol ; Coronary artery disease ; Cross-Sectional Studies ; Diagnosis ; Diagnostic systems ; Evaluation ; Female ; Health risks ; Heart ; Heart diseases ; Hospitals ; Humans ; Hypertension ; Male ; Mass Screening ; Medical diagnosis ; Medical research ; Medicine and Health Sciences ; Metabolic disorders ; Metabolic syndrome ; Metabolic Syndrome - complications ; Metabolic syndrome X ; Middle Aged ; Obesity ; Physical education ; Polysomnography ; Predictive Value of Tests ; Prevalence ; Questionnaires ; Reproducibility of Results ; Research and Analysis Methods ; Respiration disorders ; Risk analysis ; Risk assessment ; Risk Factors ; Sensitivity ; Sensitivity analysis ; Sensitivity and Specificity ; Sleep ; Sleep apnea ; Sleep Apnea, Obstructive - complications ; Sleep Apnea, Obstructive - diagnosis ; Sleep disorders ; Studies ; Surveys and Questionnaires ; Systematic review</subject><ispartof>PloS one, 2019-05, Vol.14 (5), p.e0217058</ispartof><rights>COPYRIGHT 2019 Public Library of Science</rights><rights>2019 Cepeda et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2019 Cepeda et al 2019 Cepeda et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-36ca103bbbdb44b47513648c37f2b4ba19730128fa34f9423d4bbccbc53fac303</citedby><cites>FETCH-LOGICAL-c692t-36ca103bbbdb44b47513648c37f2b4ba19730128fa34f9423d4bbccbc53fac303</cites><orcidid>0000-0003-1544-3499</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6528986/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6528986/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31112558$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Doering, Stephan</contributor><creatorcontrib>Cepeda, Felipe X</creatorcontrib><creatorcontrib>Virmondes, Leslie</creatorcontrib><creatorcontrib>Rodrigues, Sara</creatorcontrib><creatorcontrib>Dutra-Marques, Akothirene C B</creatorcontrib><creatorcontrib>Toschi-Dias, Edgar</creatorcontrib><creatorcontrib>Ferreira-Camargo, Fernanda C</creatorcontrib><creatorcontrib>Hussid, Maria Fernanda</creatorcontrib><creatorcontrib>Rondon, Maria Urbana Pb</creatorcontrib><creatorcontrib>Alves, Maria Janieire N N</creatorcontrib><creatorcontrib>Trombetta, Ivani C</creatorcontrib><title>Identifying the risk of obstructive sleep apnea in metabolic syndrome patients: Diagnostic accuracy of the Berlin Questionnaire</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Obstructive sleep apnea (OSA) is a risk factor frequently present in patients with metabolic syndrome (MetS). Additionally, moderate and severe OSA are highly prevalent in patients with cardiac disease, as they increase the riskfor cardiovascular events by 80%. The gold standard diagnostic method for OSA is overnight polysomnography (PSG), which remains unaffordable for the overall population. The aim of the present study was to evaluate whether the Berlin Questionnaire (BQ) is anuseful tool for assessing the risk of OSA in patients with MetS.
97 patients, previously untreated and recently diagnosed with MetS (National Cholesterol Education Program, Adult Treatment Panel III, ATP-III) underwent a PSG. OSA was characterized by the apnea-hypopnea index (AHI). BQ was administered before PSG and we evaluated sensitivity, specificity, positive and negative predictive values, and accuracy.
Of the 97 patients with MetS, 81 patients had OSA, with 47 (48.5%) presenting moderate and severe OSA. For all MetS with OSA (AHI≥5 events/hour), the BQ showed good sensitivity (0.65, 95% CI 0.54 to 0.76) and fair specificity (0.38, 95% CI 0.15-0.65) with a positive predictive value of 0.84, a negative predictive value of 0.18 and an 84% accuracy. Similarly, for moderate-to-severe OSA (AHI≥15 events/hour) we found good sensitivity (0.73, 95% CI 0.58-0.85) and fair specificity (0.40, 95% CI 0.27-0.55). Interestingly, for severe OSA (AHI≥30 events/hour), there was a very good sensitivity (0.91, 95% CI 0.72-0.99) and moderate specificity (0.42, 95% CI 0.31-0.54).
The BQ is a valid tool for screening the risk of OSA in MetS patients in general, and it is particularly useful in predicting severe OSA.</description><subject>Accuracy</subject><subject>Adult</subject><subject>Aged</subject><subject>Apnea</subject><subject>Blood pressure</subject><subject>Cardiovascular diseases</subject><subject>Cardiovascular Diseases - complications</subject><subject>Cholesterol</subject><subject>Coronary artery disease</subject><subject>Cross-Sectional Studies</subject><subject>Diagnosis</subject><subject>Diagnostic systems</subject><subject>Evaluation</subject><subject>Female</subject><subject>Health risks</subject><subject>Heart</subject><subject>Heart diseases</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Male</subject><subject>Mass Screening</subject><subject>Medical diagnosis</subject><subject>Medical research</subject><subject>Medicine and Health Sciences</subject><subject>Metabolic disorders</subject><subject>Metabolic syndrome</subject><subject>Metabolic Syndrome - complications</subject><subject>Metabolic syndrome X</subject><subject>Middle Aged</subject><subject>Obesity</subject><subject>Physical education</subject><subject>Polysomnography</subject><subject>Predictive Value of Tests</subject><subject>Prevalence</subject><subject>Questionnaires</subject><subject>Reproducibility of Results</subject><subject>Research and Analysis Methods</subject><subject>Respiration disorders</subject><subject>Risk analysis</subject><subject>Risk assessment</subject><subject>Risk Factors</subject><subject>Sensitivity</subject><subject>Sensitivity analysis</subject><subject>Sensitivity and Specificity</subject><subject>Sleep</subject><subject>Sleep apnea</subject><subject>Sleep Apnea, Obstructive - complications</subject><subject>Sleep Apnea, Obstructive - diagnosis</subject><subject>Sleep disorders</subject><subject>Studies</subject><subject>Surveys and Questionnaires</subject><subject>Systematic review</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNk01v1DAQhiMEoqXwDxBEQkJw2MVfcZIekEr5WqlSxefVGjvOrpfEDnZSsSf-Og6bVhvUA8rBkeeZdzyvPUnyGKMlpjl-tXWDt9AsO2f1EhGco6y4kxzjkpIFJ4jePfg_Sh6EsEUoowXn95MjijEmWVYcJ79Xlba9qXfGrtN-o1Nvwo_U1amTofeD6s2VTkOjdZdCZzWkxqat7kG6xqg07GzlXavTDnoTdcJp-tbA2rrQxygoNXhQu1FulH6jfRPTPw06hp21YLx-mNyroQn60bSeJN_ev_t6_nFxcflhdX52sVC8JP2CcgUYUSllJRmTLM8w5axQNK-JZBJwmVOESVEDZXXJCK2YlEpJldEaFEX0JHm61-0aF8TkXRCEkOgIy7IsEqs9UTnYis6bFvxOODDi74bzawE-ttVoUcmcYZwhRHPOSsAy57qqVQWI6jonOGq9nqoNstWVitZ4aGai84g1G7F2V4JnpCgLHgVeTALe_Rz9Eq0JSjcNWO2G8dyUoIIVeKz17B_09u4mag2xAWNrF-uqUVScZQXHJeP5WHZ5CxW_SrdGxYdWm7g_S3g5S4hMr3_1axhCEKsvn_-fvfw-Z58fsBsNTb8JrhnGdxPmINuDyrsQvK5vTMZIjHNy7YYY50RMcxLTnhxe0E3S9WDQPyEED3I</recordid><startdate>20190521</startdate><enddate>20190521</enddate><creator>Cepeda, Felipe X</creator><creator>Virmondes, Leslie</creator><creator>Rodrigues, Sara</creator><creator>Dutra-Marques, Akothirene C B</creator><creator>Toschi-Dias, Edgar</creator><creator>Ferreira-Camargo, Fernanda C</creator><creator>Hussid, Maria Fernanda</creator><creator>Rondon, Maria Urbana Pb</creator><creator>Alves, Maria Janieire N N</creator><creator>Trombetta, Ivani C</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-1544-3499</orcidid></search><sort><creationdate>20190521</creationdate><title>Identifying the risk of obstructive sleep apnea in metabolic syndrome patients: Diagnostic accuracy of the Berlin Questionnaire</title><author>Cepeda, Felipe X ; Virmondes, Leslie ; Rodrigues, Sara ; Dutra-Marques, Akothirene C B ; Toschi-Dias, Edgar ; Ferreira-Camargo, Fernanda C ; Hussid, Maria Fernanda ; Rondon, Maria Urbana Pb ; Alves, Maria Janieire N N ; Trombetta, Ivani C</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-36ca103bbbdb44b47513648c37f2b4ba19730128fa34f9423d4bbccbc53fac303</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Accuracy</topic><topic>Adult</topic><topic>Aged</topic><topic>Apnea</topic><topic>Blood pressure</topic><topic>Cardiovascular diseases</topic><topic>Cardiovascular Diseases - complications</topic><topic>Cholesterol</topic><topic>Coronary artery disease</topic><topic>Cross-Sectional Studies</topic><topic>Diagnosis</topic><topic>Diagnostic systems</topic><topic>Evaluation</topic><topic>Female</topic><topic>Health risks</topic><topic>Heart</topic><topic>Heart diseases</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Male</topic><topic>Mass Screening</topic><topic>Medical diagnosis</topic><topic>Medical research</topic><topic>Medicine and Health Sciences</topic><topic>Metabolic disorders</topic><topic>Metabolic syndrome</topic><topic>Metabolic Syndrome - complications</topic><topic>Metabolic syndrome X</topic><topic>Middle Aged</topic><topic>Obesity</topic><topic>Physical education</topic><topic>Polysomnography</topic><topic>Predictive Value of Tests</topic><topic>Prevalence</topic><topic>Questionnaires</topic><topic>Reproducibility of Results</topic><topic>Research and Analysis Methods</topic><topic>Respiration disorders</topic><topic>Risk analysis</topic><topic>Risk assessment</topic><topic>Risk Factors</topic><topic>Sensitivity</topic><topic>Sensitivity analysis</topic><topic>Sensitivity and Specificity</topic><topic>Sleep</topic><topic>Sleep apnea</topic><topic>Sleep Apnea, Obstructive - complications</topic><topic>Sleep Apnea, Obstructive - diagnosis</topic><topic>Sleep disorders</topic><topic>Studies</topic><topic>Surveys and Questionnaires</topic><topic>Systematic review</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cepeda, Felipe X</creatorcontrib><creatorcontrib>Virmondes, Leslie</creatorcontrib><creatorcontrib>Rodrigues, Sara</creatorcontrib><creatorcontrib>Dutra-Marques, Akothirene C B</creatorcontrib><creatorcontrib>Toschi-Dias, Edgar</creatorcontrib><creatorcontrib>Ferreira-Camargo, Fernanda C</creatorcontrib><creatorcontrib>Hussid, Maria Fernanda</creatorcontrib><creatorcontrib>Rondon, Maria Urbana Pb</creatorcontrib><creatorcontrib>Alves, Maria Janieire N N</creatorcontrib><creatorcontrib>Trombetta, Ivani C</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Proquest Nursing & Allied Health Source</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cepeda, Felipe X</au><au>Virmondes, Leslie</au><au>Rodrigues, Sara</au><au>Dutra-Marques, Akothirene C B</au><au>Toschi-Dias, Edgar</au><au>Ferreira-Camargo, Fernanda C</au><au>Hussid, Maria Fernanda</au><au>Rondon, Maria Urbana Pb</au><au>Alves, Maria Janieire N N</au><au>Trombetta, Ivani C</au><au>Doering, Stephan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identifying the risk of obstructive sleep apnea in metabolic syndrome patients: Diagnostic accuracy of the Berlin Questionnaire</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2019-05-21</date><risdate>2019</risdate><volume>14</volume><issue>5</issue><spage>e0217058</spage><pages>e0217058-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Obstructive sleep apnea (OSA) is a risk factor frequently present in patients with metabolic syndrome (MetS). Additionally, moderate and severe OSA are highly prevalent in patients with cardiac disease, as they increase the riskfor cardiovascular events by 80%. The gold standard diagnostic method for OSA is overnight polysomnography (PSG), which remains unaffordable for the overall population. The aim of the present study was to evaluate whether the Berlin Questionnaire (BQ) is anuseful tool for assessing the risk of OSA in patients with MetS.
97 patients, previously untreated and recently diagnosed with MetS (National Cholesterol Education Program, Adult Treatment Panel III, ATP-III) underwent a PSG. OSA was characterized by the apnea-hypopnea index (AHI). BQ was administered before PSG and we evaluated sensitivity, specificity, positive and negative predictive values, and accuracy.
Of the 97 patients with MetS, 81 patients had OSA, with 47 (48.5%) presenting moderate and severe OSA. For all MetS with OSA (AHI≥5 events/hour), the BQ showed good sensitivity (0.65, 95% CI 0.54 to 0.76) and fair specificity (0.38, 95% CI 0.15-0.65) with a positive predictive value of 0.84, a negative predictive value of 0.18 and an 84% accuracy. Similarly, for moderate-to-severe OSA (AHI≥15 events/hour) we found good sensitivity (0.73, 95% CI 0.58-0.85) and fair specificity (0.40, 95% CI 0.27-0.55). Interestingly, for severe OSA (AHI≥30 events/hour), there was a very good sensitivity (0.91, 95% CI 0.72-0.99) and moderate specificity (0.42, 95% CI 0.31-0.54).
The BQ is a valid tool for screening the risk of OSA in MetS patients in general, and it is particularly useful in predicting severe OSA.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>31112558</pmid><doi>10.1371/journal.pone.0217058</doi><tpages>e0217058</tpages><orcidid>https://orcid.org/0000-0003-1544-3499</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2019-05, Vol.14 (5), p.e0217058 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_2228664555 |
source | MEDLINE; DOAJ Directory of Open Access Journals; Public Library of Science (PLoS) Journals Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
subjects | Accuracy Adult Aged Apnea Blood pressure Cardiovascular diseases Cardiovascular Diseases - complications Cholesterol Coronary artery disease Cross-Sectional Studies Diagnosis Diagnostic systems Evaluation Female Health risks Heart Heart diseases Hospitals Humans Hypertension Male Mass Screening Medical diagnosis Medical research Medicine and Health Sciences Metabolic disorders Metabolic syndrome Metabolic Syndrome - complications Metabolic syndrome X Middle Aged Obesity Physical education Polysomnography Predictive Value of Tests Prevalence Questionnaires Reproducibility of Results Research and Analysis Methods Respiration disorders Risk analysis Risk assessment Risk Factors Sensitivity Sensitivity analysis Sensitivity and Specificity Sleep Sleep apnea Sleep Apnea, Obstructive - complications Sleep Apnea, Obstructive - diagnosis Sleep disorders Studies Surveys and Questionnaires Systematic review |
title | Identifying the risk of obstructive sleep apnea in metabolic syndrome patients: Diagnostic accuracy of the Berlin Questionnaire |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T19%3A16%3A22IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Identifying%20the%20risk%20of%20obstructive%20sleep%20apnea%20in%20metabolic%20syndrome%20patients:%20Diagnostic%20accuracy%20of%20the%20Berlin%20Questionnaire&rft.jtitle=PloS%20one&rft.au=Cepeda,%20Felipe%20X&rft.date=2019-05-21&rft.volume=14&rft.issue=5&rft.spage=e0217058&rft.pages=e0217058-&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0217058&rft_dat=%3Cgale_plos_%3EA586194676%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2228664555&rft_id=info:pmid/31112558&rft_galeid=A586194676&rft_doaj_id=oai_doaj_org_article_db741150037649a1b76edfcda03ef721&rfr_iscdi=true |