Positional obstructive sleep apnea in patients with atrial fibrillation.


Journal

Sleep & breathing = Schlaf & Atmung
ISSN: 1522-1709
Titre abrégé: Sleep Breath
Pays: Germany
ID NLM: 9804161

Informations de publication

Date de publication:
05 2023
Historique:
received: 28 01 2022
accepted: 20 04 2022
revised: 03 04 2022
pmc-release: 01 05 2024
medline: 29 5 2023
pubmed: 11 5 2022
entrez: 10 5 2022
Statut: ppublish

Résumé

Obstructive sleep apnea (OSA) is a common, potentially modifiable condition implicated in the pathogenesis of atrial fibrillation (AF). The presence and severity of OSA is largely sleep position-dependent, yet there is high variability in positional dependence among patients with OSA. We investigated the prevalence of positional OSA (POSA) and examined associated factors in patients with AF. We recruited an equal number of patients with and without AF who underwent diagnostic polysomnography. Patients included had ≥ 120 min of total sleep time with 30 min of sleep in both supine and lateral positions. POSA was defined as an overall apnea hypopnea index (AHI) ≥ 5/h, supine AHI (sAHI) ≥ 5/h, and sAHI greater than twice the non-supine AHI. POSA prevalence was compared in patients with and without AF adjusting for age, sex, OSA severity, and heart failure. A total of patients (male: 56%, mean age 62 years) were included. POSA prevalence was similar between the two groups (46% vs. 39%; p = 0.33). Obesity and severe OSA (AHI ≥ 30/h) were associated with low likelihood of POSA (OR [CI] of 0.17 [0.09-0.32] and 0.28 [0.12-0.62]). In patients with AF, male sex was associated with a higher likelihood of POSA (OR [CI] of 3.16 [1.06-10.4]). POSA is common, affecting more than half of patients with AF, but the prevalence was similar in those without AF. Obesity and more severe OSA are associated with lower odds of POSA. Positional therapy should be considered in patients with mild OSA and POSA.

Identifiants

pubmed: 35538180
doi: 10.1007/s11325-022-02625-y
pii: 10.1007/s11325-022-02625-y
pmc: PMC10349247
mid: NIHMS1913611
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

487-494

Subventions

Organisme : NIH HHS
ID : R01HL158765
Pays : United States
Organisme : NIH HHS
ID : R21AG070576
Pays : United States
Organisme : NIH HHS
ID : R21HL150502-01
Pays : United States
Organisme : NIH HHS
ID : R21HL140432
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL158765
Pays : United States
Organisme : NHLBI NIH HHS
ID : R21 HL150502
Pays : United States
Organisme : NHLBI NIH HHS
ID : R21 HL140432
Pays : United States
Organisme : NIA NIH HHS
ID : R21 AG070576
Pays : United States

Informations de copyright

© 2022. The Author(s), under exclusive licence to Springer Nature Switzerland AG.

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Auteurs

Patrick L Stafford (PL)

Department of Medicine, University of Virginia, 1215 Lee St., PO Box 800158, Charlottesville, VA, 22908, USA. pls2b@virginia.edu.

Evan Harmon (E)

Department of Medicine, Cleveland Clinic, Cleveland, OH, USA.

Paras Patel (P)

Department of Medicine, University of Virginia, 1215 Lee St., PO Box 800158, Charlottesville, VA, 22908, USA.

McCall Walker (M)

Department of Medicine, University of Texas - Southwestern, Dallas, TX, USA.

Nazem Akoum (N)

Department of Medicine, University of Washington, Seattle, WA, USA.

Seung-Jung Park (SJ)

Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.

Yeilim Cho (Y)

Department of Medicine, University of Washington, Seattle, WA, USA.

Kenneth Bilchick (K)

Department of Medicine, University of Virginia, 1215 Lee St., PO Box 800158, Charlottesville, VA, 22908, USA.

Nishaki Mehta (N)

Department of Cardiology, William Beaumont Hospital, Oakland University School of Medicine, Royal Oak, MI, USA.

Sula Mazimba (S)

Department of Medicine, University of Virginia, 1215 Lee St., PO Box 800158, Charlottesville, VA, 22908, USA.

Yoonsik Cho (Y)

Department of Artificial Intelligence, Chung-Ang University, Seoul, Republic of Korea.

Younghoon Kwon (Y)

Department of Medicine, University of Washington, Seattle, WA, USA.

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Classifications MeSH