Assessment of Heart Rate Variability for Predicting Obstructive Sleep Apnea in Patients With Hypertension
NCT07603583 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 100
Last updated 2026-05-22
Summary
This study aims to investigate the relationship between hypertension and obstructive sleep apnea (OSA) using heart rate variability (HRV) as a non-invasive biomarker of autonomic nervous system function.
Hypertensive patients at high risk for OSA will undergo 24-hour Holter electrocardiogram monitoring to assess HRV parameters, along with overnight polysomnography (PSG) to determine OSA severity. The study will analyze the association between HRV indices and the apnea-hypopnea index (AHI), and develop predictive models using machine learning techniques.
In addition, patients diagnosed with OSA will be followed after treatment, and changes in HRV and blood pressure will be evaluated to assess treatment effects and autonomic function recovery.
The results of this study may provide a cost-effective and clinically applicable approach for early detection, risk stratification, and management of OSA in patients with hypertension.
Conditions
Interventions
- DIAGNOSTIC_TEST
-
Polysomnography
Overnight polysomnography (PSG) will be performed to evaluate sleep parameters and determine the severity of obstructive sleep apnea.
Sponsors & Collaborators
-
Kaohsiung Armed Forces General Hospital
lead OTHER
Principal Investigators
-
Yung Kuo Lee, PhD · Kaohsiung Armed Forces General Hospital
Eligibility
- Min Age
- 18 Years
- Max Age
- 65 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2026-04-30
- Primary Completion
- 2026-12-31
- Completion
- 2026-12-31
Countries
- Taiwan
Study Locations
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