Literature DB >> 12405611

Validation of a suprasternal pressure transducer for apnea classification during sleep.

Nicole Meslier1, Isabelle Simon, Achille Kouatchet, Hakima Ouksel, Christine Person, Jean-Louis Racineux.   

Abstract

STUDY
OBJECTIVES: To validate a new method of evaluation of respiratory efforts during polysomnographic recordings.
SETTING: NA PARTICIPANTS: 26 patients with sleep apnea syndrome, either during diagnostic assessment (n=16) or under nasal continuous positive airway pressure (n=10).
METHODS: This method consists of measuring suprastemal pressure by a pressure transducer placed over the trachea above the sternal notch (Pst). It was compared to the reference method (ie, esophageal pressure) during the same polysomnogram.
RESULTS: The analysis was based on 3,261 episodes of apnea, classified as obstructive in 2,556 cases, mixed in 347 cases, and central in 358 cases according to the esophageal pressure monitor. The concordance between the two methods was very good, with a sensitivity of Pst of 99.4% for the detection of apneas with respiratory efforts and a specificity of 93.6%. Twenty-three (6.4%) of the 358 central apneas were classified by Pst as apneas with respiratory efforts and 18 of the 353 central apneas classified by Pst were actually apneas with respiratory efforts on the esophageal pressure monitor.
CONCLUSION: The suprasternal pressure transducer, which presents a good sensitivity and a good specificity for identification of respiratory efforts, can be used to classify apneas during polysomnographic recordings in clinical practice.

Entities:  

Mesh:

Year:  2002        PMID: 12405611     DOI: 10.1093/sleep/25.7.753

Source DB:  PubMed          Journal:  Sleep        ISSN: 0161-8105            Impact factor:   5.849


  12 in total

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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.  Comparison of Apnea Detection Using Oronasal Thermal Airflow Sensor, Nasal Pressure Transducer, Respiratory Inductance Plethysmography and Tracheal Sound Sensor.

Authors:  AbdelKebir Sabil; Martin Glos; Alexandra Günther; Christoph Schöbel; Christian Veauthier; Ingo Fietze; Thomas Penzel
Journal:  J Clin Sleep Med       Date:  2019-02-15       Impact factor: 4.062

3.  Tracheal sounds for the scoring of sleep respiratory events in children.

Authors:  Alessandro Amaddeo; Abdelkebir Sabil; Jorge Olmo Arroyo; Livio De Sanctis; Lucie Griffon; Guillaume Baffet; Sonia Khirani; Brigitte Fauroux
Journal:  J Clin Sleep Med       Date:  2020-01-14       Impact factor: 4.062

4.  Apnea and hypopnea characterization using esophageal pressure, respiratory inductance plethysmography, and suprasternal pressure: a comparative study.

Authors:  AbdelKebir Sabil; Christoph Schöbel; Martin Glos; Alexandra Gunther; Christian Veauthier; Philipp Arens; Ingo Fietze; Thomas Penzel
Journal:  Sleep Breath       Date:  2019-02-07       Impact factor: 2.816

5.  Tracheal Sound Analysis.

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

6.  Validation of a Suprasternal Pressure Sensor for Sleep Apnea Classification in Children.

Authors:  Alessandro Amaddeo; Marta Fernandez-Bolanos; Jorge Olmo Arroyo; Sonia Khirani; Guillaume Baffet; Brigitte Fauroux
Journal:  J Clin Sleep Med       Date:  2016-12-15       Impact factor: 4.062

7.  New tracheal sound feature for apnoea analysis.

Authors:  A Kulkas; E Huupponen; J Virkkala; M Tenhunen; A Saastamoinen; E Rauhala; S-L Himanen
Journal:  Med Biol Eng Comput       Date:  2009-02-11       Impact factor: 2.602

8.  Diagnosis of sleep apnea without sensors on the patient's face.

Authors:  AbdelKebir Sabil; Caroline Marien; Marc LeVaillant; Guillaume Baffet; Nicole Meslier; Frédéric Gagnadoux
Journal:  J Clin Sleep Med       Date:  2020-07-15       Impact factor: 4.062

9.  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 10.  Chronically implanted pressure sensors: challenges and state of the field.

Authors:  Lawrence Yu; Brian J Kim; Ellis Meng
Journal:  Sensors (Basel)       Date:  2014-10-31       Impact factor: 3.576

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