Screening of obstructive sleep apnea syndrome by the deep breathing technique.


Journal

Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine
ISSN: 1550-9397
Titre abrégé: J Clin Sleep Med
Pays: United States
ID NLM: 101231977

Informations de publication

Date de publication:
01 02 2023
Historique:
pmc-release: 01 02 2024
pubmed: 24 9 2022
medline: 4 2 2023
entrez: 23 9 2022
Statut: ppublish

Résumé

Obstructive sleep apnea syndrome (OSAS) is associated with alterations in heart rate variability (HRV) in relation to chronic autonomic dysfunction. We tested the ability of the deep breathing technique-a simple way to evaluate HRV-to identify patients with OSAS. Consecutive patients referred for suspected OSAS (without obesity, diabetes, and heart diseases) were included. They underwent a measure of HRV at rest and of heart rate oscillations during expiration vs inspiration (DeltaHR Of 31 included participants (77% male), 14 had mild to moderate OSAS (apnea-hypopnea index median [IQR]: 18 [12]) and 17 had no OSAS. The conventional HRV analysis did not reveal any difference between the groups with vs without OSAS. However, the DeltaHR The deep breathing technique accurately identifies a reduction in cardiac changes in patients with mild to moderate OSAS. It could be used as a simple screening tool to select patients for polysomnography. Onanga M, Joanny S, Rivals I, et al. Screening of obstructive sleep apnea syndrome by the deep breathing technique.

Identifiants

pubmed: 36148620
pii: jcsm.10314
doi: 10.5664/jcsm.10314
pmc: PMC9892745
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

293-302

Informations de copyright

© 2023 American Academy of Sleep Medicine.

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Auteurs

Mwetty Onanga (M)

Assistance Publique- Hôpitaux de Paris (APHP), Groupe Hospitalier Universitaire APHP-Sorbonne Université, site Pitié-Salpêtrière, Service des Pathologies du Sommeil (Département R3S), Paris, France.

Sarah Joanny (S)

Assistance Publique- Hôpitaux de Paris (APHP), Groupe Hospitalier Universitaire APHP-Sorbonne Université, site Pitié-Salpêtrière, Service des Pathologies du Sommeil (Département R3S), Paris, France.

Isabelle Rivals (I)

Sorbonne Université, Institut National de la Santé et de la Recherche Médicale (INSERM), UMRS1158, Neurophysiologie Respiratoire Expérimentale et Clinique, Paris, France.
Equipe de Statistique Appliquée, École supérieure de physique et de chimie industrielles de la ville de Paris (ESPCI), Paris, Paris Sciences et Lettres (PSL) Research University, Paris, France.

Elisa Perger (E)

Assistance Publique- Hôpitaux de Paris (APHP), Groupe Hospitalier Universitaire APHP-Sorbonne Université, site Pitié-Salpêtrière, Service des Pathologies du Sommeil (Département R3S), Paris, France.

Isabelle Arnulf (I)

Assistance Publique- Hôpitaux de Paris (APHP), Groupe Hospitalier Universitaire APHP-Sorbonne Université, site Pitié-Salpêtrière, Service des Pathologies du Sommeil (Département R3S), Paris, France.
Sorbonne Université, Pitié Salpêtrière Hospital, Institut du Cerveau et de la Moelle, Paris, France.

Stefania Redolfi (S)

Assistance Publique- Hôpitaux de Paris (APHP), Groupe Hospitalier Universitaire APHP-Sorbonne Université, site Pitié-Salpêtrière, Service des Pathologies du Sommeil (Département R3S), Paris, France.
Sorbonne Université, Institut National de la Santé et de la Recherche Médicale (INSERM), UMRS1158, Neurophysiologie Respiratoire Expérimentale et Clinique, Paris, France.

Caroline Sevoz-Couche (C)

Sorbonne Université, Institut National de la Santé et de la Recherche Médicale (INSERM), UMRS1158, Neurophysiologie Respiratoire Expérimentale et Clinique, Paris, France.

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