Literature DB >> 29458696

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

Martin Glos1, AbdelKebir Sabil2, Katharina Sophie Jelavic1, Christoph Schöbel1, Ingo Fietze1, Thomas Penzel1,3.   

Abstract

STUDY
OBJECTIVES: In obstructive sleep apnea (OSA) esophageal pressure (Pes) is the gold standard for measurement of respiratory effort, and respiratory inductance plethysmography (RIP) is considered an accepted measurement technique. However, the use of RIP could lead to limited accuracy in certain cases and therefore suprasternal pressure (SSP) monitoring might improve the reliability of OSA diagnosis. We aimed to use SSP for the visual characterization of respiratory events in adults and compared results to those obtained by RIP from polysomnography (PSG).
METHODS: In patients with OSA, a 1-night SSP recording using the PneaVoX sensor (Cidelec, Sainte-Gemmes-sur-Loire, France) was done. In parallel, PSG was performed according to American Academy of Sleep Medicine criteria. A subgroup of patients agreed to have Pes measurement in addition. Characterizations of apneas as obstructive, central, and mixed as well as hypopneas as central and obstructive were done by visual evaluation of SSP, RIP, and Pes in random order by two independent scores (S1 and S2). The sensitivity and specificity of characterization by SSP compared to RIP and to Pes were calculated.
RESULTS: Synchronous recordings of SSP and PSG were analyzed from n = 34 patients with OSA (AHI 34.1 ± 24.2 events/h); 9 of them had synchronized Pes monitoring as well. Interscorer agreement for apnea characterization as obstructive, central, and mixed based on SSP, RIP, and Pes were found, with R2 values from 0.91-0.99. The sensitivity of SSP in apnea characterization with reference to RIP (S1/S2) was 91.5%/92.3% for obstructive, 82.7%/76.2% for central, and 87.4%/79.9% for mixed. The sensitivity of SSP in apnea characterization with reference to Pes was (S1/S2) 93.1%/92.1% for obstructive, 80.8%/81.6% for central, and 91.7%/90.8% for mixed. Hypopnea was only classified for the nine patients with Pes.
CONCLUSIONS: This study demonstrated a good agreement in the detection of respiratory effort with the SSP signal using the PneaVoX sensor compared to the RIP belts signals as well as to the Pes signal. These findings were consistently found by two independent scorers. In summary, results suggest that SSP is a reliable signal for the classification of respiratory events and could be used as an additional tool for OSA characterization in clinical practice.
© 2018 American Academy of Sleep Medicine.

Entities:  

Keywords:  apnea characterization; esophageal pressure; hypopnea characterization; obstructive sleep apnea; respiratory effort; respiratory inductance plethysmography; suprasternal pressure

Mesh:

Year:  2018        PMID: 29458696      PMCID: PMC5837837          DOI: 10.5664/jcsm.6978

Source DB:  PubMed          Journal:  J Clin Sleep Med        ISSN: 1550-9389            Impact factor:   4.062


  21 in total

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Authors:  Nicole Meslier; Isabelle Simon; Achille Kouatchet; Hakima Ouksel; Christine Person; Jean-Louis Racineux
Journal:  Sleep       Date:  2002-11-01       Impact factor: 5.849

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4.  Sleep apnea monitoring and diagnosis based on pulse oximetry and tracheal sound signals.

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Authors:  Richard B Berry; Rohit Budhiraja; Daniel J Gottlieb; David Gozal; Conrad Iber; Vishesh K Kapur; Carole L Marcus; Reena Mehra; Sairam Parthasarathy; Stuart F Quan; Susan Redline; Kingman P Strohl; Sally L Davidson Ward; Michelle M Tangredi
Journal:  J Clin Sleep Med       Date:  2012-10-15       Impact factor: 4.062

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

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7.  The assessment of upper airway patency during apnea using cardiogenic oscillations in the airflow signal.

Authors:  M J Morrell; M S Badr; C A Harms; J A Dempsey
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8.  Tracheal breath sounds for detection of apnea in infants and children.

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Journal:  Crit Care Med       Date:  1982-06       Impact factor: 7.598

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

Authors:  C Van Surell; D Lemaigre; M Leroy; A Foucher; M P Hagenmuller; B Raffestin
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10.  Distinguishing obstructive from central sleep apnea events: diaphragm electromyogram and esophageal pressure compared.

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  8 in total

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Journal:  J Clin Sleep Med       Date:  2019-02-15       Impact factor: 4.062

2.  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
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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.

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Journal:  Adv Exp Med Biol       Date:  2022       Impact factor: 3.650

6.  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

7.  Distinguishing Obstructive Versus Central Apneas in Infrared Video of Sleep Using Deep Learning: Validation Study.

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8.  Esophageal pressure monitoring for airway management during catheter ablation of atrial fibrillation.

Authors:  Yu-Ki Iwasaki; Yuhi Fujimoto; Eiichiro Oka; Kanako Ito Hagiwara; Kenta Takahashi; Ippei Tsuboi; Hiroshi Hayashi; Kenji Yodogawa; Meiso Hayashi; Yasushi Miyauchi; Wataru Shimizu
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