Obstructive sleep apnea heterogeneity and autonomic function: a role for heart rate variability in therapy selection and efficacy monitoring.

autonomic dysfunction heart rate variability heterogeneity obstructive sleep apnea therapeutic efficacy treatment modalities

Journal

Journal of sleep research
ISSN: 1365-2869
Titre abrégé: J Sleep Res
Pays: England
ID NLM: 9214441

Informations de publication

Date de publication:
14 Sep 2023
Historique:
revised: 23 07 2023
received: 07 02 2023
accepted: 03 08 2023
pubmed: 15 9 2023
medline: 15 9 2023
entrez: 14 9 2023
Statut: aheadofprint

Résumé

Obstructive sleep apnea is a highly prevalent sleep-related breathing disorder, resulting in a disturbed breathing pattern, changes in blood gases, abnormal autonomic regulation, metabolic fluctuation, poor neurocognitive performance, and increased cardiovascular risk. With broad inter-individual differences recognised in risk factors, clinical symptoms, gene expression, physiological characteristics, and health outcomes, various obstructive sleep apnea subtypes have been identified. Therapeutic efficacy and its impact on outcomes, particularly for cardiovascular consequences, may also vary depending on these features in obstructive sleep apnea. A number of interventions such as positive airway pressure therapies, oral appliance, surgical treatment, and pharmaceutical options are available in clinical practice. Selecting an effective obstructive sleep apnea treatment and therapy is a challenging medical decision due to obstructive sleep apnea heterogeneity and numerous treatment modalities. Thus, an objective marker for clinical evaluation is warranted to estimate the treatment response in patients with obstructive sleep apnea. Currently, while the Apnea-Hypopnea Index is used for severity assessment of obstructive sleep apnea and still considered a major guide to diagnosis and managements of obstructive sleep apnea, the Apnea-Hypopnea Index is not a robust marker of symptoms, function, or outcome improvement. Abnormal cardiac autonomic modulation can provide additional insight to better understand obstructive sleep apnea phenotyping. Heart rate variability is a reliable neurocardiac tool to assess altered autonomic function and can also provide cardiovascular information in obstructive sleep apnea. Beyond the Apnea-Hypopnea Index, this review aims to discuss the role of heart rate variability as an indicator and predictor of therapeutic efficacy to different modalities in order to optimise tailored treatment for obstructive sleep apnea.

Identifiants

pubmed: 37709966
doi: 10.1111/jsr.14020
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

e14020

Subventions

Organisme : American Heart Association
ID : 20CDA35310360
Organisme : National and Guangzhou Key Clinical Specialty (2021- 2024)
Organisme : National Youth Foundation of China
ID : 81900927
Organisme : National Youth Foundation of China
ID : 82301290

Informations de copyright

© 2023 European Sleep Research Society.

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Auteurs

Hua Qin (H)

Department of Otolaryngology, Head and Neck Surgery, State Key Laboratory of Respiratory Disease, The Key Laboratory of Advanced Interdisciplinary Studies Center, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Interdisciplinary Center of Sleep Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany.

Ingo Fietze (I)

Interdisciplinary Center of Sleep Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany.
The Fourth People's Hospital of Guangyuan, Guangyuan, China.

Diego R Mazzotti (DR)

Division of Medical Informatics, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, Kansas, USA.
Division of Pulmonary Critical Care and Sleep Medicine, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, Kansas, USA.

Nicolas Steenbergen (N)

Department of Bioengineering, Imperial College London, London, UK.

Jan F Kraemer (JF)

Department of Physics, Humboldt-Universität zu Berlin, Berlin, Germany.
Information Processing and Analytics Group, School of Library and Information Science, Humboldt-Universität zu Berlin, Berlin, Germany.

Martin Glos (M)

Interdisciplinary Center of Sleep Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany.

Niels Wessel (N)

Department of Physics, Humboldt-Universität zu Berlin, Berlin, Germany.
Department of Medicine, Medical School Berlin, Berlin, Germany.

Lijun Song (L)

Department of Otolaryngology, Head and Neck Surgery, State Key Laboratory of Respiratory Disease, The Key Laboratory of Advanced Interdisciplinary Studies Center, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.

Thomas Penzel (T)

Interdisciplinary Center of Sleep Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany.

Xiaowen Zhang (X)

Department of Otolaryngology, Head and Neck Surgery, State Key Laboratory of Respiratory Disease, The Key Laboratory of Advanced Interdisciplinary Studies Center, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.

Classifications MeSH