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Accuracy Analysis of Embletta X100 for the Diagnosis of Obstructive Sleep Apnea and the Assessment of Sleep Structure
Journal of Rhinology ; : 32-37, 2018.
Article in English | WPRIM | ID: wpr-714406
ABSTRACT
BACKGROUND AND

OBJECTIVES:

To measure the accuracy of Embletta X100, a level 2 portable sleep monitoring device, for diagnosis of obstructive sleep apnea and assessment of sleep structure. MATERIALS AND

METHOD:

We enrolled 200 consecutive patients who had been referred due to habitual snoring or witnessed apnea during sleep and had undergone standard polysomnography (PSG). We created a simulated situation similar to that of the Embletta X100 using only data from PSG and scored the sleep stage and the apnea-hypopnea index (AHI). Thereafter, the results of PSG and simulated Embletta X100 were compared.

RESULTS:

Sensitivity, specificity, and positive and negative predictive values of simulated Embletta X100 based on PSG were nearly 100% at three different cutoff values of AHI (5, 15, and 30). Intraclass correlation (ICC) of simulated Embletta X100 based on PSG was also excellent (≥0.9) for most of the sleep-related parameters and respiratory index. However, ICC of sleep stage percent was variable according to sleep stage (>0.9 for N1 and N2, 0.664 for N3, and 0.864 for R).

CONCLUSION:

Although sleep staging is not very precise, Embletta X100 matches well with PSG overall.
Subject(s)

Full text: Available Index: WPRIM (Western Pacific) Main subject: Apnea / Sleep Stages / Snoring / Sensitivity and Specificity / Polysomnography / Sleep Apnea, Obstructive / Diagnosis / Methods Type of study: Diagnostic study / Prognostic study Limits: Humans Language: English Journal: Journal of Rhinology Year: 2018 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Main subject: Apnea / Sleep Stages / Snoring / Sensitivity and Specificity / Polysomnography / Sleep Apnea, Obstructive / Diagnosis / Methods Type of study: Diagnostic study / Prognostic study Limits: Humans Language: English Journal: Journal of Rhinology Year: 2018 Type: Article