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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...

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Autores principales: Waseem, Rida, Chan, Matthew T. V., Wang, Chew Yin, Seet, Edwin, Chung, Frances
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8101727/
https://www.ncbi.nlm.nih.gov/pubmed/33956830
http://dx.doi.org/10.1371/journal.pone.0250777
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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
collection PubMed
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.
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spelling pubmed-81017272021-05-17 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 PLoS One Research Article 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 /pmc/articles/PMC8101727/ /pubmed/33956830 http://dx.doi.org/10.1371/journal.pone.0250777 Text en © 2021 Waseem et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://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
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
title 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_short 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
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8101727/
https://www.ncbi.nlm.nih.gov/pubmed/33956830
http://dx.doi.org/10.1371/journal.pone.0250777
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