Literature DB >> 33322747

Assessment of Nocturnal Autonomic Cardiac Imbalance in Positional Obstructive Sleep Apnea. A Multiscale Nonlinear Approach.

Daniel Álvarez1,2,3, C Ainhoa Arroyo1, Julio F de Frutos1, Andrea Crespo1,2, Ana Cerezo-Hernández1, Gonzalo C Gutiérrez-Tobal2,3, Fernando Vaquerizo-Villar2, Verónica Barroso-García2, Fernando Moreno1, Tomás Ruiz1, Roberto Hornero2,3, Félix Del Campo1,2,3.   

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.

Entities:  

Keywords:  cardiac dynamics; heart rate variability; multiscale entropy; nonlinear analysis; positional apnea

Year:  2020        PMID: 33322747      PMCID: PMC7764670          DOI: 10.3390/e22121404

Source DB:  PubMed          Journal:  Entropy (Basel)        ISSN: 1099-4300            Impact factor:   2.524


  59 in total

1.  Automatic screening of obstructive sleep apnea from the ECG based on empirical mode decomposition and wavelet analysis.

Authors:  M O Mendez; J Corthout; S Van Huffel; M Matteucci; T Penzel; S Cerutti; A M Bianchi
Journal:  Physiol Meas       Date:  2010-01-20       Impact factor: 2.833

2.  Effects of sleep posture on upper airway stability in patients with obstructive sleep apnea.

Authors:  A M Neill; S M Angus; D Sajkov; R D McEvoy
Journal:  Am J Respir Crit Care Med       Date:  1997-01       Impact factor: 21.405

Review 3.  Supine position related obstructive sleep apnea in adults: pathogenesis and treatment.

Authors:  Simon A Joosten; Denise M O'Driscoll; Philip J Berger; Garun S Hamilton
Journal:  Sleep Med Rev       Date:  2013-05-10       Impact factor: 11.609

4.  Clinical Practice Guideline for Diagnostic Testing for Adult Obstructive Sleep Apnea: An American Academy of Sleep Medicine Clinical Practice Guideline.

Authors:  Vishesh K Kapur; Dennis H Auckley; Susmita Chowdhuri; David C Kuhlmann; Reena Mehra; Kannan Ramar; Christopher G Harrod
Journal:  J Clin Sleep Med       Date:  2017-03-15       Impact factor: 4.062

5.  Patients with positional versus nonpositional obstructive sleep apnea: a retrospective study of risk factors associated with apnea-hypopnea severity.

Authors:  Jin Woo Chung; Reyes Enciso; Daniel J Levendowski; Philip R Westbrook; Glenn T Clark
Journal:  Oral Surg Oral Med Oral Pathol Oral Radiol Endod       Date:  2010-11

6.  Comparison between heart rate variability and pulse rate variability during different sleep stages for sleep apnea patients.

Authors:  Shuangyan Liu; Jing Teng; Xianghua Qi; Shoushui Wei; Chengyu Liu
Journal:  Technol Health Care       Date:  2017       Impact factor: 1.285

7.  RMSSD, a measure of vagus-mediated heart rate variability, is associated with risk factors for SUDEP: the SUDEP-7 Inventory.

Authors:  Christopher M DeGiorgio; Patrick Miller; Sheba Meymandi; Alex Chin; Jordan Epps; Steven Gordon; Jeffrey Gornbein; Ronald M Harper
Journal:  Epilepsy Behav       Date:  2010-07-27       Impact factor: 2.937

8.  Effect of sleep position on sleep apnea severity.

Authors:  R D Cartwright
Journal:  Sleep       Date:  1984       Impact factor: 5.849

9.  Comparison of cardiac autonomic activity between positional and nonpositional obstructive sleep apnea using heart rate variability.

Authors:  Jung-Ick Byun; Yu Yong Shin; Kyoung Jin Hwang; Yujin Jung; Won Chul Shin
Journal:  Sleep Med       Date:  2019-07-15       Impact factor: 3.492

10.  Positional OSA part 2: retrospective cohort analysis with a new classification system (APOC).

Authors:  M J L Ravesloot; M H Frank; J P van Maanen; E A Verhagen; J de Lange; N de Vries
Journal:  Sleep Breath       Date:  2015-06-18       Impact factor: 2.816

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  1 in total

1.  Entropy analysis and grey cluster analysis of multiple indexes of 5 kinds of genuine medicinal materials.

Authors:  Libing Zhou; Caiyun Jiang; Qingxia Lin
Journal:  Sci Rep       Date:  2022-04-22       Impact factor: 4.996

  1 in total

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