Evaluation of Sleep Disorder Severity in Sleep Apnea Patients Using HRV Analysis

2023 Fiscal Year Final Research Report

• Project/Area Number: 22K21306
• Research Category: Grant-in-Aid for Research Activity Start-up
• Allocation Type: Multi-year Fund
• Review Section: 1002:Human informatics, applied informatics and related fields
• Research Institution: Osaka University
• Principal Investigator: NAKANO Natsuko 大阪大学, 医学部附属病院, その他 (90966938)
• Project Period (FY): 2022-08-31 – 2024-03-31
• Keywords: 睡眠時無呼吸 / 心拍変動 / 重症度

Outline of Final Research Achievements

In this study, HRV analysis was performed using PSG ECG data from patients with mild to moderate obstructive sleep apnea, and the results were compared between the interval without events and the interval with hypopnea in the N2 supine position, showing an increase in LF and LF/HF with hypopnea, suggesting increased sympathetic nerve activity. However, the power spectrum density (PSD) by patient showed a trend toward LF-dominant and HF-dominant types, regardless of the presence or absence of events, and LF and LF/HF values tended to be higher in patients with mild OSA. In conclusion, the results of HRV analysis may reflect not only the presence or absence of detectable respiratory events, but also the patient's respiratory pattern and electroencephalogram changes.

Free Research Field

睡眠呼吸障害

Academic Significance and Societal Importance of the Research Achievements

呼吸イベントだけでなく自律神経のバランスを反映しうるHRV解析を用いた本研究により，治療の必要性を過小評価する可能性のあるAHIに基づく重症度評価に替わり，HRV解析は睡眠分断の要因と睡眠の質を反映する新たな指標となり得ると考えられた。方法論の確立により，治療選択に活かされる，睡眠呼吸障害の多様性の評価が可能となる点で臨床的に意義がある。