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Erschienen in: Sleep and Breathing 1/2019

21.03.2018 | Sleep Breathing Physiology and Disorders • Original Article

Validation of the oxygen desaturation index in the diagnostic workup of obstructive sleep apnea

verfasst von: Timon M. Fabius, Jeffrey R. Benistant, Lindsey Bekkedam, Job van der Palen, Frans H. C. de Jongh, Michiel M. M. Eijsvogel

Erschienen in: Sleep and Breathing | Ausgabe 1/2019

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Abstract

Introduction

Obstructive sleep apnea (OSA) is common, and diagnosis requires expensive and laborious testing to assess the apnea hypopnea index (AHI). We performed an analysis to explore the relationship between the oxygen desaturation index (ODI) as measured with pulse oximetry and the AHI in our large portable monitoring (PM) database to find an optimal cutoff value for the ODI in order to be able to exclude AHI ≥ 5 on PM.

Methods

Three thousand four hundred thirteen PM recordings were randomly divided into a training set (N = 2281) and a test set (N = 1132). The optimal cutoff for the ODI to exclude an AHI ≥ 5 on PM was determined in the training set and subsequently validated in the test set.

Results

Area under the curve of the ODI to exclude an AHI ≥ 5 on PM was 0.997 in the training set and 0.996 in the test set. In the training set, the optimal cutoff to predict an AHI < 5 was an ODI < 5. Using this cutoff in the test set provided a sensitivity of 97.7%, a specificity of 97.0%, a positive predictive value of 99.2%, and a negative predictive value of 91.4%.

Conclusion

An ODI < 5 predicts an AHI < 5 with high sensitivity and specificity when measured simultaneously using the same oximeter during PM recording.
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Metadaten
Titel
Validation of the oxygen desaturation index in the diagnostic workup of obstructive sleep apnea
verfasst von
Timon M. Fabius
Jeffrey R. Benistant
Lindsey Bekkedam
Job van der Palen
Frans H. C. de Jongh
Michiel M. M. Eijsvogel
Publikationsdatum
21.03.2018
Verlag
Springer International Publishing
Erschienen in
Sleep and Breathing / Ausgabe 1/2019
Print ISSN: 1520-9512
Elektronische ISSN: 1522-1709
DOI
https://doi.org/10.1007/s11325-018-1654-2

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