Literature DB >> 7656952

Evaluation of an ambulatory device, CID 102, in the diagnosis of obstructive sleep apnoea syndrome.

C Van Surell1, D Lemaigre, M Leroy, A Foucher, M P Hagenmuller, B Raffestin.   

Abstract

Diagnosis of obstructive sleep apnoea syndrome (OSAS) is usually performed during overnight polysomnography in the sleep laboratory. In an attempt to simplify the diagnostic strategy, we compared an ambulatory device, CID 102, with polysomnography during the same night in the laboratory in 50 consecutive patients referred for polysomnography. The CID 102 device monitors oxygen saturation, heart rate, body position and tracheal breath sounds. An acoustic pressure sensor is placed on the suprasternal notch. Signals coming from this sensor are amplified and analysed in three different channels, according to their frequency and energy. CID respiratory disturbance index is defined as the number, per hour of analysis time, of apnoeas lasting more than 10 s plus episodes of desaturation by 4% or more associated with pauses lasting from 7-10 s or snores. The polysomnographic data were recorded on paper (Reega 2000, Alvar) and analysed manually. Polysomnographic apnoea-hypopnoea index (AHIp) was defined as the number of apnoeas plus hypopnoeas per hour of sleep. The sensitivity, specificity, positive predictive value and negative predictive value of various CID respiratory disturbance index (> or = 5, > or = 10, > or = 15 and > or = 20 per hour) in diagnosing obstructive sleep apnoea syndrome were determined. When OSAS was diagnosed as AHIp > or = 15, sensitivity and specificity of a CID respiratory disturbance index > or = 5 were 73 and 62%, respectively. Positive predictive value of CID respiratory disturbance index > or = 10 for AHIp > or = 10 was 94%. CID 102 false negative patients had only hypopnoeas without any desaturation.(ABSTRACT TRUNCATED AT 250 WORDS)

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Year:  1995        PMID: 7656952

Source DB:  PubMed          Journal:  Eur Respir J        ISSN: 0903-1936            Impact factor:   16.671


  5 in total

1.  Home diagnosis of obstructive sleep apnoea in coronary patients: validity of a simplified device automated analysis.

Authors:  Carole Planès; Michel Leroy; Najette Bouach Khalil; Rami El Mahmoud; Franck Digne; Florence de Roquefeuil; Bernadette Raffestin
Journal:  Sleep Breath       Date:  2009-06-17       Impact factor: 2.816

2.  Validation of the Sonomat: a contactless monitoring system used for the diagnosis of sleep disordered breathing.

Authors:  Mark B Norman; Sally Middleton; Odette Erskine; Peter G Middleton; John R Wheatley; Colin E Sullivan
Journal:  Sleep       Date:  2014-09-01       Impact factor: 5.849

3.  Tracheal Sound Analysis.

Authors:  AbdelKebir Sabil; Sandrine Launois
Journal:  Adv Exp Med Biol       Date:  2022       Impact factor: 3.650

4.  Characterization of Respiratory Events in Obstructive Sleep Apnea Using Suprasternal Pressure Monitoring.

Authors:  Martin Glos; AbdelKebir Sabil; Katharina Sophie Jelavic; Christoph Schöbel; Ingo Fietze; Thomas Penzel
Journal:  J Clin Sleep Med       Date:  2018-03-15       Impact factor: 4.062

Review 5.  The use of tracheal sounds for the diagnosis of sleep apnoea.

Authors:  Thomas Penzel; AbdelKebir Sabil
Journal:  Breathe (Sheff)       Date:  2017-06
  5 in total

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