Research Papers: General

Diagnostic accuracy of a mathematical model to predict apnea–hypopnea index using nighttime pulse oximetry

[+] Author Affiliations
Matthew R. Ebben

Center for Sleep Medicine, Weill Cornell Medical College, Department of Neurology, 425 East 61st Street, 5th Floor, New York, New York 10065, United States

Ana C. Krieger

Center for Sleep Medicine, Weill Cornell Medical College, Department of Neurology, 425 East 61st Street, 5th Floor, New York, New York 10065, United States

Center for Sleep Medicine, Weill Cornell Medical College, Department of Medicine, 425 East 61st Street, 5th Floor, New York, New York 10065, United States

J. Biomed. Opt. 21(3), 035006 (Mar 31, 2016). doi:10.1117/1.JBO.21.3.035006
History: Received November 4, 2015; Accepted March 8, 2016
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Abstract.  The intent of this study is to develop a predictive model to convert an oxygen desaturation index (ODI) to an apnea–hypopnea index (AHI). This model will then be compared to actual AHI to determine its precision. One thousand four hundred and sixty-seven subjects given polysomnograms with concurrent pulse oximetry between April 14, 2010, and February 7, 2012, were divided into model development (n=733) and verification groups (n=734) in order to develop a predictive model of AHI using ODI. Quadratic regression was used for model development. The coefficient of determination (r2) between the actual AHI and the predicted AHI (PredAHI) was 0.80 (r=0.90), which was significant at a p<0.001. The areas under the receiver operating characteristic curve ranged from 0.96 for AHI thresholds of 10 and 15/h to 0.97 for thresholds of 5 and 30/h. The algorithm described in this paper provides a convenient and accurate way to convert ODI to a predicted AHI. This tool makes it easier for clinicians to understand oximetry data in the context of traditional measures of sleep apnea.

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Citation

Matthew R. Ebben and Ana C. Krieger
"Diagnostic accuracy of a mathematical model to predict apnea–hypopnea index using nighttime pulse oximetry", J. Biomed. Opt. 21(3), 035006 (Mar 31, 2016). ; http://dx.doi.org/10.1117/1.JBO.21.3.035006


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