Literature DB >> 25216958

Heart rate variability and cardiorespiratory coupling in obstructive sleep apnea: elderly compared with young.

R Trimer1, R Cabidu2, L L M Sampaio3, R Stirbulov4, D Poiares5, S Guizilini6, A M Bianchi2, F S M Costa7, R G Mendes8, A Delfino7, R Arena9, A Borghi-Silva8.   

Abstract

INTRODUCTION: Aging is known to be a major contributing factor to the increased risk of obstructive sleep apnea (OSA). With aging, breathing undergoes significant changes during sleep, increasing the prevalence of apnea events, which affects heart rate variability (HRV) and cardiorespiratory coupling (CRC).
OBJECTIVES: To compare HRV and CRC during wakefulness and sleep between young and elderly patients with and without OSA; and to determine whether the presence of OSA in young and elderly patients has a different impact on HRV and CRC during sleep.
METHODS: One hundred subjects, 50 young (mean age, 27 ± 9; 20 normal and 30 OSA) and 50 elderly (mean age, 65 ± 7; 20 normal and 30 OSA), underwent polysomnography. Spectral, cross-spectrum, and HRV parameters were analyzed during wakefulness and sleep.
RESULTS: The spectral analysis indicated that age affected HRV, with higher values of low frequency (P < 0.05) in elderly subjects during wakefulness and an interaction between the presence of OSA and age. OSA influenced HRV during sleep with lower LF/HF ratios during stage 2 (S2) and rapid eye movement (REM) sleep (P <0.05), with an interaction between the presence of OSA and age in REM sleep. Elderly patients had significantly lower percent tachogram power coherent with respiration (%TPCR) during wakefulness (P < 0.05), and OSA led to lower %TPCR during S2.
CONCLUSIONS: Age and OSA have an unfavorable impact on HRV, with reduced autonomic modulation during wakefulness, S2, and REM sleep. Age affects CRC during wakefulness and the presence of OSA affects CRC during sleep.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Age; Cardiorespiratory coupling; Elderly; Heart rate variability; Obstructive sleep apnea; Young

Mesh:

Year:  2014        PMID: 25216958     DOI: 10.1016/j.sleep.2014.05.028

Source DB:  PubMed          Journal:  Sleep Med        ISSN: 1389-9457            Impact factor:   3.492


  4 in total

Review 1.  Opportunities for utilizing polysomnography signals to characterize obstructive sleep apnea subtypes and severity.

Authors:  Diego R Mazzotti; Diane C Lim; Kate Sutherland; Lia Bittencourt; Jesse W Mindel; Ulysses Magalang; Allan I Pack; Philip de Chazal; Thomas Penzel
Journal:  Physiol Meas       Date:  2018-09-13       Impact factor: 2.833

2.  Assessment of tobacco smoke effects on neonatal cardiorespiratory control using a semi-automated processing approach.

Authors:  Sally Al-Omar; Virginie Le Rolle; Alain Beuchée; Nathalie Samson; Jean-Paul Praud; Guy Carrault
Journal:  Med Biol Eng Comput       Date:  2018-05-10       Impact factor: 2.602

3.  Cardiopulmonary coupling and serum cardiac biomarkers in obesity hypoventilation syndrome and obstructive sleep apnea with morbid obesity.

Authors:  Sheila Sivam; David Wang; Keith K H Wong; Amanda J Piper; Yi Zhong Zheng; Gislaine Gauthier; Christine Hockings; Olivia McGuinness; Collette Menadue; Kerri Melehan; Sara Cooper; Hugi Hilmisson; Craig L Phillips; Robert J Thomas; Brendon J Yee; Ronald R Grunstein
Journal:  J Clin Sleep Med       Date:  2022-04-01       Impact factor: 4.062

4.  Sleep EEG Characteristics in Young and Elderly Patients with Obstructive Sleep Apnea Syndrome.

Authors:  Yu Jin Lee; Jong Won Kim; Yu-Jin G Lee; Do-Un Jeong
Journal:  Psychiatry Investig       Date:  2016-03-23       Impact factor: 2.505

  4 in total

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