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Validation of overnight oximetry to diagnose patients with moderate to severe obstructive sleep apnea

BACKGROUND: Polysomnography (PSG) is treated as the gold standard for diagnosing obstructive sleep apnea (OSA). However, it is labor-intensive, time-consuming, and expensive. This study evaluates validity of overnight pulse oximetry as a diagnostic tool for moderate to severe OSA patients. METHODS:...

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Autores principales: Hang, Liang-Wen, Wang, Hsiang-Ling, Chen, Jen-Ho, Hsu, Jiin-Chyr, Lin, Hsuan-Hung, Chung, Wei-Sheng, Chen, Yung-Fu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4407425/
https://www.ncbi.nlm.nih.gov/pubmed/25880649
http://dx.doi.org/10.1186/s12890-015-0017-z
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author Hang, Liang-Wen
Wang, Hsiang-Ling
Chen, Jen-Ho
Hsu, Jiin-Chyr
Lin, Hsuan-Hung
Chung, Wei-Sheng
Chen, Yung-Fu
author_facet Hang, Liang-Wen
Wang, Hsiang-Ling
Chen, Jen-Ho
Hsu, Jiin-Chyr
Lin, Hsuan-Hung
Chung, Wei-Sheng
Chen, Yung-Fu
author_sort Hang, Liang-Wen
collection PubMed
description BACKGROUND: Polysomnography (PSG) is treated as the gold standard for diagnosing obstructive sleep apnea (OSA). However, it is labor-intensive, time-consuming, and expensive. This study evaluates validity of overnight pulse oximetry as a diagnostic tool for moderate to severe OSA patients. METHODS: A total of 699 patients with possible OSA were recruited for overnight oximetry and PSG examination at the Sleep Center of a University Hospital from Jan. 2004 to Dec. 2005. By excluding 23 patients with poor oximetry recording, poor EEG signals, or respiratory artifacts resulting in a total recording time less than 3 hours; 12 patients with total sleeping time (TST) less than 1 hour, possibly because of insomnia; and 48 patients whose ages less than 20 or more than 85 years old, data of 616 patients were used for further study. By further considering 76 patients with TST < 4 h, a group of 540 patients with TST ≥ 4 h was used to study the effect of insufficient sleeping time. Alice 4 PSG recorder (Respironics Inc., USA) was used to monitor patients with suspected OSA and to record their PSG data. After statistical analysis and feature selection, models built based on support vector machine (SVM) were then used to diagnose moderate and moderate to severe OSA patients with a threshold of AHI = 30 and AHI = 15, respectively. RESULTS: The SVM models designed based on the oxyhemoglobin desaturation index (ODI) derived from oximetry measurements provided an accuracy of 90.42-90.55%, a sensitivity of 89.36-89.87%, a specificity of 91.08-93.05%, and an area under ROC curve (AUC) of 0.953-0.957 for the diagnosis of severe OSA patients; as well as achieved an accuracy of 87.33-87.77%, a sensitivity of 87.71-88.53%, a specificity of 86.38-86.56%, and an AUC of 0.921-0.924 for the diagnosis of moderate to severe OSA patients. The predictive outcome of ODI to diagnose severe OSA patients is better than to diagnose moderate to severe OSA patients. CONCLUSIONS: Overnight pulse oximetry provides satisfactory diagnostic performance in detecting severe OSA patients. Home-styled oximetry may be a tool for severe OSA diagnosis.
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spelling pubmed-44074252015-04-24 Validation of overnight oximetry to diagnose patients with moderate to severe obstructive sleep apnea Hang, Liang-Wen Wang, Hsiang-Ling Chen, Jen-Ho Hsu, Jiin-Chyr Lin, Hsuan-Hung Chung, Wei-Sheng Chen, Yung-Fu BMC Pulm Med Research Article BACKGROUND: Polysomnography (PSG) is treated as the gold standard for diagnosing obstructive sleep apnea (OSA). However, it is labor-intensive, time-consuming, and expensive. This study evaluates validity of overnight pulse oximetry as a diagnostic tool for moderate to severe OSA patients. METHODS: A total of 699 patients with possible OSA were recruited for overnight oximetry and PSG examination at the Sleep Center of a University Hospital from Jan. 2004 to Dec. 2005. By excluding 23 patients with poor oximetry recording, poor EEG signals, or respiratory artifacts resulting in a total recording time less than 3 hours; 12 patients with total sleeping time (TST) less than 1 hour, possibly because of insomnia; and 48 patients whose ages less than 20 or more than 85 years old, data of 616 patients were used for further study. By further considering 76 patients with TST < 4 h, a group of 540 patients with TST ≥ 4 h was used to study the effect of insufficient sleeping time. Alice 4 PSG recorder (Respironics Inc., USA) was used to monitor patients with suspected OSA and to record their PSG data. After statistical analysis and feature selection, models built based on support vector machine (SVM) were then used to diagnose moderate and moderate to severe OSA patients with a threshold of AHI = 30 and AHI = 15, respectively. RESULTS: The SVM models designed based on the oxyhemoglobin desaturation index (ODI) derived from oximetry measurements provided an accuracy of 90.42-90.55%, a sensitivity of 89.36-89.87%, a specificity of 91.08-93.05%, and an area under ROC curve (AUC) of 0.953-0.957 for the diagnosis of severe OSA patients; as well as achieved an accuracy of 87.33-87.77%, a sensitivity of 87.71-88.53%, a specificity of 86.38-86.56%, and an AUC of 0.921-0.924 for the diagnosis of moderate to severe OSA patients. The predictive outcome of ODI to diagnose severe OSA patients is better than to diagnose moderate to severe OSA patients. CONCLUSIONS: Overnight pulse oximetry provides satisfactory diagnostic performance in detecting severe OSA patients. Home-styled oximetry may be a tool for severe OSA diagnosis. BioMed Central 2015-03-20 /pmc/articles/PMC4407425/ /pubmed/25880649 http://dx.doi.org/10.1186/s12890-015-0017-z Text en © Hang et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Hang, Liang-Wen
Wang, Hsiang-Ling
Chen, Jen-Ho
Hsu, Jiin-Chyr
Lin, Hsuan-Hung
Chung, Wei-Sheng
Chen, Yung-Fu
Validation of overnight oximetry to diagnose patients with moderate to severe obstructive sleep apnea
title Validation of overnight oximetry to diagnose patients with moderate to severe obstructive sleep apnea
title_full Validation of overnight oximetry to diagnose patients with moderate to severe obstructive sleep apnea
title_fullStr Validation of overnight oximetry to diagnose patients with moderate to severe obstructive sleep apnea
title_full_unstemmed Validation of overnight oximetry to diagnose patients with moderate to severe obstructive sleep apnea
title_short Validation of overnight oximetry to diagnose patients with moderate to severe obstructive sleep apnea
title_sort validation of overnight oximetry to diagnose patients with moderate to severe obstructive sleep apnea
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4407425/
https://www.ncbi.nlm.nih.gov/pubmed/25880649
http://dx.doi.org/10.1186/s12890-015-0017-z
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