Assessment of Heart Rate Variability for Predicting Obstructive Sleep Apnea in Patients With Hypertension
- Sponsor
- Kaohsiung Armed Forces General Hospital
- Study ID
- NCT07603583
- Status
- Recruiting
Conditions
- Hypertension
- Obstructive Sleep Apnea
Eligibility Criteria
- Sex
- ALL
- Age
- 18 Years - 65 Years
- Healthy Volunteers
- Not accepted
Interventions
- Polysomnography — DIAGNOSTIC_TESTOvernight polysomnography (PSG) will be performed to evaluate sleep parameters and determine the severity of obstructive sleep apnea.
Study Details
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.
Key Dates
- First listed
- May 22, 2026
- Start date
- Apr 30, 2026
- Status verified
- May 2026
- Primary completion
- Dec 31, 2026
- Completion
- Dec 31, 2026
Study Design
- Enrollment
- 100 participants (estimated)
Arms
- Arm: Hypertensive Patients With Suspected OSAAdult patients aged 18 to 65 years with diagnosed hypertension or resistant hypertension and high risk of obstructive sleep apnea (STOP-Bang score ≥3). Participants will undergo 24-hour Holter monitoring for heart rate variability (HRV) assessment and overnight polysomnography (PSG) to evaluate sleep parameters and OSA severity. Clinical data including blood pressure and relevant medical history will be collected for analysis.
Primary Outcome Measure
Prediction of OSA Severity Using Heart Rate Variability [ Time Frame: Baseline (at time of HRV monitoring and polysomnography) ]
Central Contacts
- Yung Kuo Lee, PhD+886910977485
- Chih-Hsuan Chang, MS+886905163699
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