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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 en En | WPRIM | ID: wpr-714406
Biblioteca responsable: WPRO
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.
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Texto completo: 1 Índice: WPRIM Asunto principal: Apnea / Fases del Sueño / Ronquido / Sensibilidad y Especificidad / Polisomnografía / Apnea Obstructiva del Sueño / Diagnóstico / Métodos Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Journal of Rhinology Año: 2018 Tipo del documento: Article
Texto completo: 1 Índice: WPRIM Asunto principal: Apnea / Fases del Sueño / Ronquido / Sensibilidad y Especificidad / Polisomnografía / Apnea Obstructiva del Sueño / Diagnóstico / Métodos Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Journal of Rhinology Año: 2018 Tipo del documento: Article