Validation of Oximetry for Diagnosing Obstructive Sleep Apnea in a Clinical Setting
A large epidemiological study using oximetry to analyze obstructive sleep apnea (OSA) and metabolic comorbidities was performed in Japan; however, reliability and validity of oximetry in the Japanese population remains poorly understood. In this study, oximetry data from the epidemiological study we...
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| Format: | Article |
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MDPI AG
2020-08-01
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| Series: | Clocks & Sleep |
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| Online Access: | https://www.mdpi.com/2624-5175/2/3/27 |
| _version_ | 1797555143435091968 |
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| author | Kazuki Ito Masahiro Uetsu Hiroshi Kadotani |
| author_facet | Kazuki Ito Masahiro Uetsu Hiroshi Kadotani |
| author_sort | Kazuki Ito |
| collection | DOAJ |
| description | A large epidemiological study using oximetry to analyze obstructive sleep apnea (OSA) and metabolic comorbidities was performed in Japan; however, reliability and validity of oximetry in the Japanese population remains poorly understood. In this study, oximetry data from the epidemiological study were compared with data from clinically performed polysomnography (PSG) and out-of-center sleep testing (OCST) in epidemiological study participants who later attended our outpatient units. The oxygen desaturation index (ODI) from oximetry showed a moderate positive relationship (correlation coefficient <i>r</i> = 0.561, <i>p</i> < 0.001) with apnea/hypopnea data from PSG/OCST. The area under the receiver operating characteristic curve showed moderate accuracy of this method in the detection of moderate-to-severe or severe OSA. However, the optimal ODI thresholds to detect moderate-to-severe OSA and severe OSA were the same (ODI > 20.1). Oximetry may be a useful tool for screening moderate-to-severe or severe sleep apnea. However, it may be difficult to set an appropriate threshold to distinguish between moderate and severe sleep apnea by oximetry alone. |
| first_indexed | 2024-03-10T16:43:18Z |
| format | Article |
| id | doaj.art-cce1b853b4314866a01d60d275e1f860 |
| institution | Directory Open Access Journal |
| issn | 2624-5175 |
| language | English |
| last_indexed | 2024-03-10T16:43:18Z |
| publishDate | 2020-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Clocks & Sleep |
| spelling | doaj.art-cce1b853b4314866a01d60d275e1f8602023-11-20T11:52:39ZengMDPI AGClocks & Sleep2624-51752020-08-012336437410.3390/clockssleep2030027Validation of Oximetry for Diagnosing Obstructive Sleep Apnea in a Clinical SettingKazuki Ito0Masahiro Uetsu1Hiroshi Kadotani2Department of Sleep and Behavioral Sciences, Shiga University of Medical Science, Seta Tsukinowa-cho, Otsu, Shiga 520-2192, JapanSleep Outpatient Unit for Sleep Apnea Syndrome, Nagahama City Hospital, 313 Ohinui-cho, Nagahama, Shiga 526-0043, JapanDepartment of Sleep and Behavioral Sciences, Shiga University of Medical Science, Seta Tsukinowa-cho, Otsu, Shiga 520-2192, JapanA large epidemiological study using oximetry to analyze obstructive sleep apnea (OSA) and metabolic comorbidities was performed in Japan; however, reliability and validity of oximetry in the Japanese population remains poorly understood. In this study, oximetry data from the epidemiological study were compared with data from clinically performed polysomnography (PSG) and out-of-center sleep testing (OCST) in epidemiological study participants who later attended our outpatient units. The oxygen desaturation index (ODI) from oximetry showed a moderate positive relationship (correlation coefficient <i>r</i> = 0.561, <i>p</i> < 0.001) with apnea/hypopnea data from PSG/OCST. The area under the receiver operating characteristic curve showed moderate accuracy of this method in the detection of moderate-to-severe or severe OSA. However, the optimal ODI thresholds to detect moderate-to-severe OSA and severe OSA were the same (ODI > 20.1). Oximetry may be a useful tool for screening moderate-to-severe or severe sleep apnea. However, it may be difficult to set an appropriate threshold to distinguish between moderate and severe sleep apnea by oximetry alone.https://www.mdpi.com/2624-5175/2/3/27epidemiologyobstructive sleep apneaoximetrypolysomnographycorrelationROC curve |
| spellingShingle | Kazuki Ito Masahiro Uetsu Hiroshi Kadotani Validation of Oximetry for Diagnosing Obstructive Sleep Apnea in a Clinical Setting Clocks & Sleep epidemiology obstructive sleep apnea oximetry polysomnography correlation ROC curve |
| title | Validation of Oximetry for Diagnosing Obstructive Sleep Apnea in a Clinical Setting |
| title_full | Validation of Oximetry for Diagnosing Obstructive Sleep Apnea in a Clinical Setting |
| title_fullStr | Validation of Oximetry for Diagnosing Obstructive Sleep Apnea in a Clinical Setting |
| title_full_unstemmed | Validation of Oximetry for Diagnosing Obstructive Sleep Apnea in a Clinical Setting |
| title_short | Validation of Oximetry for Diagnosing Obstructive Sleep Apnea in a Clinical Setting |
| title_sort | validation of oximetry for diagnosing obstructive sleep apnea in a clinical setting |
| topic | epidemiology obstructive sleep apnea oximetry polysomnography correlation ROC curve |
| url | https://www.mdpi.com/2624-5175/2/3/27 |
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