Abbreviated versions of the insomnia severity index to screen for comorbid insomnia among obstructive sleep apnea patients.

Study Objectives: The comorbidity of insomnia and obstructive sleep apnea (COMISA) is common and associated with adverse clinical consequences. While insomnia is often underdiagnosed among individuals with OSA, the identification of insomnia among these individuals may lead to improved medical care. Our objective was to assess the performance of two simplified tools (insomnia severity index-2 (ISI-2) and ISI-3) to identify insomnia among individuals with OSA.

Mouth Leak is Associated with Sleep Fragmentation During Nasal CPAP Treatment of OSA and May Be Detected by Leak Waveform Analysis.

Rationale: Mouth air leak is a major cause of low adherence to nasal CPAP in patients with obstructive sleep apnea (OSA). However, CPAP reports do not distinguish mouth from mask leak. We hypothesized that mouth air leak is terminated abruptly by an arousal from sleep and mouth closing that can be detected by CPAP leak waveform analysis.

Impact of Exclusive Mouth Route and Lateral Position on the Efficacy of Oronasal CPAP to Treat OSA in Patients With OSA Adapted to Oronasal Mask.

Background: Oronasal masks are used widely for treating OSA with CPAP. However, oronasal CPAP is associated with lower effectiveness and lower adherence than nasal CPAP.

Research Question: What is the impact of oral route and lateral position in patients well adapted to oronasal CPAP? Can these patients be switched to nasal CPAP?

Study Design And Methods: Patients with OSA receiving oronasal CPAP underwent two CPAP polysomnography titrations in random order using an oronasal mask with two independent sealed compartments connected to two separate pneumotachographs.

Sleep prediction using data from oximeter, accelerometer and snoring for portable monitor obstructive sleep apnea diagnosis.

The aim of this study was to build and validate an artificial neural network (ANN) algorithm to predict sleep using data from a portable monitor (Biologix system) consisting of a high-resolution oximeter with built-in accelerometer plus smartphone application with snoring recording and cloud analysis. A total of 268 patients with suspected obstructive sleep apnea (OSA) were submitted to standard polysomnography (PSG) with simultaneous Biologix (age: years; body mass index: , apnea-hypopnea index [AHI]: events/h). Biologix channels were input features for construction an ANN model to predict sleep.