Cargando…
Identifying the risk of obstructive sleep apnea in metabolic syndrome patients: Diagnostic accuracy of the Berlin Questionnaire
BACKGROUND: 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 diagnost...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6528986/ https://www.ncbi.nlm.nih.gov/pubmed/31112558 http://dx.doi.org/10.1371/journal.pone.0217058 |
_version_ | 1783420314295730176 |
---|---|
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_facet | 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 | Cepeda, Felipe X. |
collection | PubMed |
description | BACKGROUND: 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. METHODS: 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. RESULTS: 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). CONCLUSION: 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. |
format | Online Article Text |
id | pubmed-6528986 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-65289862019-05-31 Identifying the risk of obstructive sleep apnea in metabolic syndrome patients: Diagnostic accuracy of the Berlin Questionnaire 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. PLoS One Research Article BACKGROUND: 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. METHODS: 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. RESULTS: 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). CONCLUSION: 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. Public Library of Science 2019-05-21 /pmc/articles/PMC6528986/ /pubmed/31112558 http://dx.doi.org/10.1371/journal.pone.0217058 Text en © 2019 Cepeda et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article 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. Identifying the risk of obstructive sleep apnea in metabolic syndrome patients: Diagnostic accuracy of the Berlin Questionnaire |
title | Identifying the risk of obstructive sleep apnea in metabolic syndrome patients: Diagnostic accuracy of the Berlin Questionnaire |
title_full | Identifying the risk of obstructive sleep apnea in metabolic syndrome patients: Diagnostic accuracy of the Berlin Questionnaire |
title_fullStr | Identifying the risk of obstructive sleep apnea in metabolic syndrome patients: Diagnostic accuracy of the Berlin Questionnaire |
title_full_unstemmed | Identifying the risk of obstructive sleep apnea in metabolic syndrome patients: Diagnostic accuracy of the Berlin Questionnaire |
title_short | Identifying the risk of obstructive sleep apnea in metabolic syndrome patients: Diagnostic accuracy of the Berlin Questionnaire |
title_sort | identifying the risk of obstructive sleep apnea in metabolic syndrome patients: diagnostic accuracy of the berlin questionnaire |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6528986/ https://www.ncbi.nlm.nih.gov/pubmed/31112558 http://dx.doi.org/10.1371/journal.pone.0217058 |
work_keys_str_mv | AT cepedafelipex identifyingtheriskofobstructivesleepapneainmetabolicsyndromepatientsdiagnosticaccuracyoftheberlinquestionnaire AT virmondesleslie identifyingtheriskofobstructivesleepapneainmetabolicsyndromepatientsdiagnosticaccuracyoftheberlinquestionnaire AT rodriguessara identifyingtheriskofobstructivesleepapneainmetabolicsyndromepatientsdiagnosticaccuracyoftheberlinquestionnaire AT dutramarquesakothirenecb identifyingtheriskofobstructivesleepapneainmetabolicsyndromepatientsdiagnosticaccuracyoftheberlinquestionnaire AT toschidiasedgar identifyingtheriskofobstructivesleepapneainmetabolicsyndromepatientsdiagnosticaccuracyoftheberlinquestionnaire AT ferreiracamargofernandac identifyingtheriskofobstructivesleepapneainmetabolicsyndromepatientsdiagnosticaccuracyoftheberlinquestionnaire AT hussidmariafernanda identifyingtheriskofobstructivesleepapneainmetabolicsyndromepatientsdiagnosticaccuracyoftheberlinquestionnaire AT rondonmariaurbanapb identifyingtheriskofobstructivesleepapneainmetabolicsyndromepatientsdiagnosticaccuracyoftheberlinquestionnaire AT alvesmariajanieirenn identifyingtheriskofobstructivesleepapneainmetabolicsyndromepatientsdiagnosticaccuracyoftheberlinquestionnaire AT trombettaivanic identifyingtheriskofobstructivesleepapneainmetabolicsyndromepatientsdiagnosticaccuracyoftheberlinquestionnaire |