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

Overview

MeSH

  • Adult
  • Aged
  • Algorithms
  • Female
  • Humans
  • Male
  • Middle Aged
  • Models, Theoretical
  • Oxygen
  • ROC Curve
  • Sensitivity and Specificity

MeSH Major

  • Oximetry
  • Polysomnography
  • Sleep Apnea, Obstructive

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 (r(2)) 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

has subject area

  • Adult
  • Aged
  • Algorithms
  • Female
  • Humans
  • Male
  • Middle Aged
  • Models, Theoretical
  • Oximetry
  • Oxygen
  • Polysomnography
  • ROC Curve
  • Sensitivity and Specificity
  • Sleep Apnea, Obstructive

Research

keywords

  • Journal Article

Identity

Language

  • eng

Digital Object Identifier (DOI)

  • 10.1117/1.JBO.21.3.035006

PubMed ID

  • 27031706

Additional Document Info

start page

  • 35006

volume

  • 21

number

  • 3