Predictive performance of oximetry in detecting sleep apnea in surgical patients with cardiovascular risk factors.
<h4>Introduction</h4>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...
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Public Library of Science (PLoS)
2021-01-01
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| Series: | PLoS ONE |
| Online Access: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0250777&type=printable |
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| author | Rida Waseem Matthew T V Chan Chew Yin Wang Edwin Seet Frances Chung |
| author_facet | Rida Waseem Matthew T V Chan Chew Yin Wang Edwin Seet Frances Chung |
| author_sort | Rida Waseem |
| collection | DOAJ |
| description | <h4>Introduction</h4>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.<h4>Methods</h4>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.<h4>Results</h4>Of 1,218 patients, the mean age was 67.2 ± 9.2 years and body mass index (BMI) was 27.0 ± 5.3 kg/m2. 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.<h4>Discussion</h4>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 |
| id | doaj-art-12106a7b8ba34731a6f25a566765c326 |
| institution | Kabale University |
| issn | 1932-6203 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Public Library of Science (PLoS) |
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| series | PLoS ONE |
| spelling | doaj-art-12106a7b8ba34731a6f25a566765c3262025-01-18T05:31:07ZengPublic Library of Science (PLoS)PLoS ONE1932-62032021-01-01165e025077710.1371/journal.pone.0250777Predictive performance of oximetry in detecting sleep apnea in surgical patients with cardiovascular risk factors.Rida WaseemMatthew T V ChanChew Yin WangEdwin SeetFrances Chung<h4>Introduction</h4>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.<h4>Methods</h4>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.<h4>Results</h4>Of 1,218 patients, the mean age was 67.2 ± 9.2 years and body mass index (BMI) was 27.0 ± 5.3 kg/m2. 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.<h4>Discussion</h4>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.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0250777&type=printable |
| spellingShingle | Rida Waseem Matthew T V Chan Chew Yin Wang Edwin Seet Frances Chung Predictive performance of oximetry in detecting sleep apnea in surgical patients with cardiovascular risk factors. PLoS ONE |
| 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 |
| url | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0250777&type=printable |
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