Abstract

Study objectivesThe aim of this study was to validate the automatically scored results of an esophageal probe–based polygraph system (ApneaGraph® Spiro) against manually scored polysomnography (Nox A1, PSG) results. We compared the apnea–hypopnea index, oxygen saturation index, and respiratory disturbance index of the devices.MethodsConsenting patients, referred for obstructive sleep apnea workup, were tested simultaneously with the ApneaGraph® Spiro and Nox A1® polysomnograph. Each participant made one set of simultaneous registrations for one night. PSG results were scored independently. Apnea–hypopnea index, oxygen desaturation index, and respiratory disturbance index were compared using Pearson’s correlation and scatter plots. Sensitivity, specificity, and positive likelihood ratio of all indices at 5, 15, and 30 were calculated.ResultsA total of 83 participants had successful registrations. The apnea–hypopnea index showed sensitivity of 0.83, specificity of 0.95, and a positive likelihood ratio of 5.11 at an index cutoff of 15. At a cutoff of 30, the positive likelihood ratio rose to 31.43. The respiratory disturbance index showed high sensitivity (> 0.9) at all cutoffs, but specificity was below 0.5 at all cutoffs. Scatterplots revealed overestimation in mild OSA and underestimation in severe OSA for all three indices.ConclusionsThe ApneaGraph® Spiro performed acceptably when OSA was defined by an AHI of 15. The equipment overestimated mild OSA and underestimated severe OSA, compared to the PSG.

Highlights

  • Scored polysomnography (PSG) is considered the most comprehensive method for the workup of sleep disorders [1]

  • The ApneaGraph® Spiro performed acceptably when OSA was defined by an apnea–hypopnea index (AHI) of 15

  • A cumbersome method that registers a multitude of parameters. This has led to the development of smaller polygraphs or home sleep apnea testing (HSAT) devices that monitor fewer variables but are easier to use

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Summary

Introduction

Scored polysomnography (PSG) is considered the most comprehensive method for the workup of sleep disorders [1]. It is, a cumbersome method that registers a multitude of parameters. A sleep polygraph has some way of measuring respiratory effort, flow through the airway, and blood oxygen saturation [2, 3]. These devices cannot directly detect the states of sleep or wakefulness, as they do not register an electro-encephalogram, electro-myelography, and electro-oculography for sleep staging. Several HSAT do indirectly estimate sleep and wakefulness using available parameters

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