Abstract
In-laboratory polysomnography (PSG) is the “gold standard” for diagnosing OSA but is time-consuming and costly with long waiting list in many sleep laboratories. Therefore, the search for alternative methods to detect respiratory events is growing.
The goal of this study was to validate a new diagnostic automated method.
We compared attended PSG to a PM (with or without a MMAA provided by a distance-meter) that were recorded simultaneously in 423 consecutive subjects (M/W: 292/131, age: 49±13; BMI: 29.3±7.1 kg/m2) visiting a sleep laboratory.
Relevant final diagnosis were OSA (57%); UARS (6%); insomnia/anxiety/depression (11%); Circadian Disorders (4%); RLS (3.5%) and parasomnia.
Analysis of the data showed that an AHI index>15/h with PM was similar to an AHI>20/h with PSG. Accuracy characteristics of PM with or without MMAA are described in [Table 1], showing improvement in Sensitivity and Negative Predictive Value with MMAA. A Bland & Altman test corroborated the analysis. Correlation between PSG and PM with MMAA was excellent (r: 0.97).
In conclusion, the addition of MMAA to a type 3 PM improves the accuracy in the detection of respiratory events and gives useful information. It improves Sensitivity and Negative Predictive Value, without a significant drop in Specifity and Positive Predictive Value, suggesting that it is an attractive device for the diagnosis of OSA.
- © 2011 ERS