Diagnostic accuracy of a mathematical model to predict apnea-hypopnea index using nighttime pulse oximetry Academic Article uri icon


MeSH Major

  • Oximetry
  • Polysomnography
  • Sleep Apnea, Obstructive


  • © 2016 Society of Photo-Optical Instrumentation Engineers (SPIE). 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.

publication date

  • March 2016



  • Academic Article



  • eng

Digital Object Identifier (DOI)

  • 10.1117/1.JBO.21.3.035006

PubMed ID

  • 27031706

Additional Document Info

start page

  • 35006


  • 21


  • 3