Predictive performance of oximetry in detecting sleep apnea in surgical patients with cardiovascular risk factors

Introduction In adults with cardiovascular risk factors undergoing major noncardiac surgery, unrecognized obstructive sleep apnea (OSA) was associated with postoperative cardiovascular complications. There is a need for an easy and accessible home device in predicting sleep apnea. The objective of t...

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Main Authors: Waseem, Rida, Chan, Matthew T. V., Wang, Chew Yin, Seet, Edwin, Chung, Frances
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Published: Public Library of Science 2021
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Online Access:http://eprints.um.edu.my/28038/
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spelling my.um.eprints.280382022-07-18T07:42:44Z http://eprints.um.edu.my/28038/ Predictive performance of oximetry in detecting sleep apnea in surgical patients with cardiovascular risk factors Waseem, Rida Chan, Matthew T. V. Wang, Chew Yin Seet, Edwin Chung, Frances R Medicine (General) Introduction In adults with cardiovascular risk factors undergoing major noncardiac surgery, unrecognized obstructive sleep apnea (OSA) was associated with postoperative cardiovascular complications. There is a need for an easy and accessible home device in predicting sleep apnea. The objective of the study is to determine the predictive performance of the overnight pulse oximetry in predicting OSA in at-risk surgical patients. Methods This was a planned post-hoc analysis of multicenter prospective cohort study involving 1,218 at-risk surgical patients without prior diagnosis of sleep apnea. All patients underwent home sleep apnea testing (ApneaLink Plus, ResMed) simultaneously with pulse oximetry (PULSOX-300i, Konica Minolta Sensing, Inc). The predictive performance of the 4% oxygen desaturation index (ODI) versus apnea-hypopnea index (AHI) were determined. Results Of 1,218 patients, the mean age was 67.2 9.2 years and body mass index (BMI) was 27.0 +/- 5.3 kg/m(2). The optimal cut-off for predicting moderate-to-severe and severe OSA was ODI >= 15 events/hour. For predicting moderate-to-severe OSA (AHI >= 15), the sensitivity and specificity of ODI >= 15 events per hour were 88.4% (95% confidence interval CI], 85.7-90.6) and 95.4% (95% CI, 94.2-96.4). For severe OSA (AHI >= 30), the sensitivity and specificity were 97.2% (95% CI, 92.7-99.1) and 78.8% (95% CI, 78.2-79.0). The area under the curve (AUC) for moderate-to-severe and severe OSA was 0.983 (95% CI, 0.977-0.988) and 0.979 (95% CI, 0.97-0.909) respectively. Discussion ODI from oximetry is sensitive and specific in predicting moderate-to-severe or severe OSA in at-risk surgical population. It provides an easy, accurate, and accessible tool for at-risk surgical patients with suspected OSA. Public Library of Science 2021-05-06 Article PeerReviewed Waseem, Rida and Chan, Matthew T. V. and Wang, Chew Yin and Seet, Edwin and Chung, Frances (2021) Predictive performance of oximetry in detecting sleep apnea in surgical patients with cardiovascular risk factors. PLoS ONE, 16 (5). ISSN 1932-6203, DOI https://doi.org/10.1371/journal.pone.0250777 <https://doi.org/10.1371/journal.pone.0250777>. 10.1371/journal.pone.0250777
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic R Medicine (General)
spellingShingle R Medicine (General)
Waseem, Rida
Chan, Matthew T. V.
Wang, Chew Yin
Seet, Edwin
Chung, Frances
Predictive performance of oximetry in detecting sleep apnea in surgical patients with cardiovascular risk factors
description Introduction In adults with cardiovascular risk factors undergoing major noncardiac surgery, unrecognized obstructive sleep apnea (OSA) was associated with postoperative cardiovascular complications. There is a need for an easy and accessible home device in predicting sleep apnea. The objective of the study is to determine the predictive performance of the overnight pulse oximetry in predicting OSA in at-risk surgical patients. Methods This was a planned post-hoc analysis of multicenter prospective cohort study involving 1,218 at-risk surgical patients without prior diagnosis of sleep apnea. All patients underwent home sleep apnea testing (ApneaLink Plus, ResMed) simultaneously with pulse oximetry (PULSOX-300i, Konica Minolta Sensing, Inc). The predictive performance of the 4% oxygen desaturation index (ODI) versus apnea-hypopnea index (AHI) were determined. Results Of 1,218 patients, the mean age was 67.2 9.2 years and body mass index (BMI) was 27.0 +/- 5.3 kg/m(2). The optimal cut-off for predicting moderate-to-severe and severe OSA was ODI >= 15 events/hour. For predicting moderate-to-severe OSA (AHI >= 15), the sensitivity and specificity of ODI >= 15 events per hour were 88.4% (95% confidence interval CI], 85.7-90.6) and 95.4% (95% CI, 94.2-96.4). For severe OSA (AHI >= 30), the sensitivity and specificity were 97.2% (95% CI, 92.7-99.1) and 78.8% (95% CI, 78.2-79.0). The area under the curve (AUC) for moderate-to-severe and severe OSA was 0.983 (95% CI, 0.977-0.988) and 0.979 (95% CI, 0.97-0.909) respectively. Discussion ODI from oximetry is sensitive and specific in predicting moderate-to-severe or severe OSA in at-risk surgical population. It provides an easy, accurate, and accessible tool for at-risk surgical patients with suspected OSA.
format Article
author Waseem, Rida
Chan, Matthew T. V.
Wang, Chew Yin
Seet, Edwin
Chung, Frances
author_facet Waseem, Rida
Chan, Matthew T. V.
Wang, Chew Yin
Seet, Edwin
Chung, Frances
author_sort Waseem, Rida
title Predictive performance of oximetry in detecting sleep apnea in surgical patients with cardiovascular risk factors
title_short Predictive performance of oximetry in detecting sleep apnea in surgical patients with cardiovascular risk factors
title_full Predictive performance of oximetry in detecting sleep apnea in surgical patients with cardiovascular risk factors
title_fullStr Predictive performance of oximetry in detecting sleep apnea in surgical patients with cardiovascular risk factors
title_full_unstemmed Predictive performance of oximetry in detecting sleep apnea in surgical patients with cardiovascular risk factors
title_sort predictive performance of oximetry in detecting sleep apnea in surgical patients with cardiovascular risk factors
publisher Public Library of Science
publishDate 2021
url http://eprints.um.edu.my/28038/
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