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Qin H, Fietze I, Mazzotti DR, Steenbergen N, Kraemer JF, Glos M, Wessel N, Song L, Penzel T, Zhang X. Obstructive sleep apnea heterogeneity and autonomic function: a role for heart rate variability in therapy selection and efficacy monitoring. J Sleep Res 2024; 33:e14020. [PMID: 37709966 DOI: 10.1111/jsr.14020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 07/23/2023] [Accepted: 08/03/2023] [Indexed: 09/16/2023]
Abstract
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.
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Affiliation(s)
- Hua Qin
- 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
- Interdisciplinary Center of Sleep Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany
- The Fourth People's Hospital of Guangyuan, Guangyuan, China
| | - Diego R Mazzotti
- 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
| | | | - Jan F Kraemer
- 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
- Interdisciplinary Center of Sleep Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Niels Wessel
- Department of Physics, Humboldt-Universität zu Berlin, Berlin, Germany
- Department of Medicine, Medical School Berlin, Berlin, Germany
| | - Lijun Song
- 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
- Interdisciplinary Center of Sleep Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Xiaowen Zhang
- 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
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Rissanen M, Oksenberg A, Töyräs J, Myllymaa S, Leppänen T. Total durations of respiratory events are modulated within REM and NREM sleep by sleeping position and obesity in OSA patients. Sleep Med 2021; 81:394-400. [PMID: 33819842 DOI: 10.1016/j.sleep.2021.02.020] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Revised: 02/04/2021] [Accepted: 02/08/2021] [Indexed: 02/08/2023]
Abstract
BACKGROUND Supine sleeping position and obesity are well-known risk factors for obstructive sleep apnea (OSA) and modulate the risk for OSA-related daytime symptoms. Although respiratory event durations are associated with OSA-related severe health consequences, it is unclear how sleeping position, obesity, and daytime sleepiness are associated with respiratory event durations during REM and NREM sleep. We hypothesize that irrespective of the apnea-hypopnea index (AHI), respiratory event durations differ significantly between various OSA subgroups during REM and NREM sleep. METHODS One night in-lab polysomnographic recordings were retrospectively analyzed from 1910 untreated suspected OSA patients. 599 patients (AHI ≥ 5) were included in study and divided into subgroups based on positional dependency, BMI, and daytime sleepiness (Epworth Sleepiness Scale and Multiple Sleep Latency Test). Differences in total hypopnea time (THT), total apnea time (TAT), and total apnea-hypopnea time (TAHT) within REM and NREM sleep between the subgroups were evaluated. RESULTS During REM sleep, positional OSA patients had lower THT (OR = 0.952, p < 0.001) and TAHT (OR = 0.943, p < 0.001) than their non-positional counterparts. Compared to normal-weight patients (BMI < 25 kg/m2), obese patients (BMI ≥ 30 kg/m2) had lower THT, TAT, and TAHT (ORs = 0.942-0.971, p ≤ 0.009) during NREM sleep but higher THT (OR = 1.057, p = 0.001) and TAHT (OR = 1.052, p = 0.001) during REM sleep. No significant differences were observed in THT, TAT, and TAHT between patients with and without daytime sleepiness. CONCLUSION Regardless of the AHI, respiratory event durations vary significantly between OSA sub-groups during REM and NREM sleep. Therefore, to personalize OSA severity estimation the diagnosis should be tailored based on patient's demographics, clinical phenotype, and PSG characteristics.
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Affiliation(s)
- M Rissanen
- Department of Applied Physics, University of Eastern Finland, Kuopio, Finland; Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland.
| | - A Oksenberg
- Sleep Disorders Unit, Loewenstein Hospital-Rehabilitation Center, Raanana, Israel
| | - J Töyräs
- Department of Applied Physics, University of Eastern Finland, Kuopio, Finland; Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland; School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia
| | - S Myllymaa
- Department of Applied Physics, University of Eastern Finland, Kuopio, Finland; Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland
| | - T Leppänen
- Department of Applied Physics, University of Eastern Finland, Kuopio, Finland; Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland
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Álvarez D, Arroyo CA, de Frutos JF, Crespo A, Cerezo-Hernández A, Gutiérrez-Tobal GC, Vaquerizo-Villar F, Barroso-García V, Moreno F, Ruiz T, Hornero R, del Campo F. Assessment of Nocturnal Autonomic Cardiac Imbalance in Positional Obstructive Sleep Apnea. A Multiscale Nonlinear Approach. ENTROPY (BASEL, SWITZERLAND) 2020; 22:E1404. [PMID: 33322747 PMCID: PMC7764670 DOI: 10.3390/e22121404] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Revised: 12/07/2020] [Accepted: 12/09/2020] [Indexed: 12/24/2022]
Abstract
Positional obstructive sleep apnea (POSA) is a major phenotype of sleep apnea. Supine-predominant positional patients are frequently characterized by milder symptoms and less comorbidity due to a lower age, body mass index, and overall apnea-hypopnea index. However, the bradycardia-tachycardia pattern during apneic events is known to be more severe in the supine position, which could affect the cardiac regulation of positional patients. This study aims at characterizing nocturnal heart rate modulation in the presence of POSA in order to assess potential differences between positional and non-positional patients. Patients showing clinical symptoms of suffering from a sleep-related breathing disorder performed unsupervised portable polysomnography (PSG) and simultaneous nocturnal pulse oximetry (NPO) at home. Positional patients were identified according to the Amsterdam POSA classification (APOC) criteria. Pulse rate variability (PRV) recordings from the NPO readings were used to assess overnight cardiac modulation. Conventional cardiac indexes in the time and frequency domains were computed. Additionally, multiscale entropy (MSE) was used to investigate the nonlinear dynamics of the PRV recordings in POSA and non-POSA patients. A total of 129 patients (median age 56.0, interquartile range (IQR) 44.8-63.0 years, median body mass index (BMI) 27.7, IQR 26.0-31.3 kg/m2) were classified as POSA (37 APOC I, 77 APOC II, and 15 APOC III), while 104 subjects (median age 57.5, IQR 49.0-67.0 years, median BMI 29.8, IQR 26.6-34.7 kg/m2) comprised the non-POSA group. Overnight PRV recordings from positional patients showed significantly higher disorderliness than non-positional subjects in the smallest biological scales of the MSE profile (τ = 1: 0.25, IQR 0.20-0.31 vs. 0.22, IQR 0.18-0.27, p < 0.01) (τ = 2: 0.41, IQR 0.34-0.48 vs. 0.37, IQR 0.29-0.42, p < 0.01). According to our findings, nocturnal heart rate regulation is severely affected in POSA patients, suggesting increased cardiac imbalance due to predominant positional apneas.
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Affiliation(s)
- Daniel Álvarez
- Pneumology Department, Río Hortega University Hospital, 47012 Valladolid, Spain; (C.A.A.); (J.F.d.F.); (A.C.); (A.C.-H.); (F.M.); (T.R.)
- Biomedical Engineering Group, University of Valladolid, 47011 Valladolid, Spain; (G.C.G.-T.); (F.V.-V.); (V.B.-G.); (R.H.)
- Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), 47011 Valladolid, Spain
| | - C. Ainhoa Arroyo
- Pneumology Department, Río Hortega University Hospital, 47012 Valladolid, Spain; (C.A.A.); (J.F.d.F.); (A.C.); (A.C.-H.); (F.M.); (T.R.)
| | - Julio F. de Frutos
- Pneumology Department, Río Hortega University Hospital, 47012 Valladolid, Spain; (C.A.A.); (J.F.d.F.); (A.C.); (A.C.-H.); (F.M.); (T.R.)
| | - Andrea Crespo
- Pneumology Department, Río Hortega University Hospital, 47012 Valladolid, Spain; (C.A.A.); (J.F.d.F.); (A.C.); (A.C.-H.); (F.M.); (T.R.)
- Biomedical Engineering Group, University of Valladolid, 47011 Valladolid, Spain; (G.C.G.-T.); (F.V.-V.); (V.B.-G.); (R.H.)
| | - Ana Cerezo-Hernández
- Pneumology Department, Río Hortega University Hospital, 47012 Valladolid, Spain; (C.A.A.); (J.F.d.F.); (A.C.); (A.C.-H.); (F.M.); (T.R.)
| | - Gonzalo C. Gutiérrez-Tobal
- Biomedical Engineering Group, University of Valladolid, 47011 Valladolid, Spain; (G.C.G.-T.); (F.V.-V.); (V.B.-G.); (R.H.)
- Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), 47011 Valladolid, Spain
| | - Fernando Vaquerizo-Villar
- Biomedical Engineering Group, University of Valladolid, 47011 Valladolid, Spain; (G.C.G.-T.); (F.V.-V.); (V.B.-G.); (R.H.)
| | - Verónica Barroso-García
- Biomedical Engineering Group, University of Valladolid, 47011 Valladolid, Spain; (G.C.G.-T.); (F.V.-V.); (V.B.-G.); (R.H.)
| | - Fernando Moreno
- Pneumology Department, Río Hortega University Hospital, 47012 Valladolid, Spain; (C.A.A.); (J.F.d.F.); (A.C.); (A.C.-H.); (F.M.); (T.R.)
| | - Tomás Ruiz
- Pneumology Department, Río Hortega University Hospital, 47012 Valladolid, Spain; (C.A.A.); (J.F.d.F.); (A.C.); (A.C.-H.); (F.M.); (T.R.)
| | - Roberto Hornero
- Biomedical Engineering Group, University of Valladolid, 47011 Valladolid, Spain; (G.C.G.-T.); (F.V.-V.); (V.B.-G.); (R.H.)
- Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), 47011 Valladolid, Spain
| | - Félix del Campo
- Pneumology Department, Río Hortega University Hospital, 47012 Valladolid, Spain; (C.A.A.); (J.F.d.F.); (A.C.); (A.C.-H.); (F.M.); (T.R.)
- Biomedical Engineering Group, University of Valladolid, 47011 Valladolid, Spain; (G.C.G.-T.); (F.V.-V.); (V.B.-G.); (R.H.)
- Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), 47011 Valladolid, Spain
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