期刊
JOURNAL OF PERSONALIZED MEDICINE
卷 12, 期 9, 页码 -出版社
MDPI
DOI: 10.3390/jpm12091494
关键词
heart rate variability; autonomic nervous system; sleep; obstructive sleep apnea
资金
- Bio and Medical Technology Development Program of the National Research Foundation
- Korean Government (MSIT) [NRF-2021R1C1C1005746]
- Hallym University Research Fund
The study proposes an ultra-short-term analysis method to assess the balance of autonomic nervous system (ANS) activity in patients with obstructive sleep apnea (OSA). The results show that this method is more effective in revealing the association between sympathetic overactivity and OSA severity, and it exhibits higher consistency compared to the traditional short-term analysis method.
Heart rate variability (HRV) is the standard method for assessing autonomic nervous system (ANS) activity and is considered a surrogate marker for sympathetic overactivity in obstructive sleep apnea (OSA). Although HRV features are usually obtained from the short-term segment method, it is impossible to evaluate rapid dynamic changes in ANS activity. Herein, we propose the ultra-short-term analysis to detect the balance of ANS activity in patients with OSA. In 1021 OSA patients, 10 min HRV target datasets were extracted from polysomnographic data and analyzed by shifting the 2 min (ultra-short-term) and 5 min (short-term) segments. We detected frequency-domain parameters, including total power (Ln TP), very low frequency (Ln VLF), low frequency (Ln LF), and high frequency (Ln HF). We found that overall HRV feature alterations indicated sympathetic overactivity dependent on OSA severity, and that this was more pronounced in the ultra-short-term methodology. The apnea-hypopnea index, oxygen desaturation index, and Epworth sleepiness scale correlated with increased sympathetic activity and decreased parasympathetic activity, regardless of the methodology. The Bland-Altman plot analyses also showed a higher agreement of HRV features between the two methodologies. This study suggests that ultra-short-term HRV analysis may be a useful method for detecting alterations in ANS function in OSA patients.
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